From 6111d467f3beb2249e72ce4835992624af1be382 Mon Sep 17 00:00:00 2001 From: larnsce Date: Thu, 23 Jul 2026 22:54:41 +0200 Subject: [PATCH 1/4] Add HTML review app for datapapers screening (#28) Screening 200 auto-relevant candidates in a raw CSV is slow and error-prone. The review app is a single self-contained HTML file: cards with metadata, DOI link, and WASH search terms highlighted in title and abstract, keyboard-driven include/exclude with reasons, progress persisted in the browser's localStorage, and a CSV export of decisions. make_datapapers_review_app.R builds the app from the worklist and the committed template, dropping DOIs already decided in the screening sheet, so rebuilding after each applied batch yields the remaining queue. apply_datapapers_decisions.R merges the exported decisions into data-raw/datapapers_screening.csv keyed on DOI; the sheet stays the committed decision record. The committed datapapers_review.html is the instrument as last built (155 pending title-only candidates). Refs #28 Assisted-by: Claude claude-fable-5 --- data-raw/apply_datapapers_decisions.R | 60 ++ data-raw/datapapers_review.html | 833 +++++++++++++++++++++++ data-raw/datapapers_review_template.html | 832 ++++++++++++++++++++++ data-raw/make_datapapers_review_app.R | 63 ++ 4 files changed, 1788 insertions(+) create mode 100644 data-raw/apply_datapapers_decisions.R create mode 100644 data-raw/datapapers_review.html create mode 100644 data-raw/datapapers_review_template.html create mode 100644 data-raw/make_datapapers_review_app.R diff --git a/data-raw/apply_datapapers_decisions.R b/data-raw/apply_datapapers_decisions.R new file mode 100644 index 0000000..ea1ff4b --- /dev/null +++ b/data-raw/apply_datapapers_decisions.R @@ -0,0 +1,60 @@ +# Merge decisions exported from the review app (issue #28) into the committed +# screening sheet. Reads data-raw/datapapers_decisions.csv (doi, include, +# reason; produced by the Export button in datapapers_review.html) and fills +# include/reason in data-raw/datapapers_screening.csv for those DOIs. +# +# The decisions file is the reviewer's own choices, so it overwrites any +# earlier value for the same DOI; rows not in the decisions file are left +# untouched. Re-running is idempotent. +# +# Run from the package root: +# Rscript data-raw/apply_datapapers_decisions.R + +library(dplyr) +library(readr) + +decisions_path <- "data-raw/datapapers_decisions.csv" +screening_path <- "data-raw/datapapers_screening.csv" + +if (!file.exists(decisions_path)) { + stop("Missing ", decisions_path, ". Export decisions from ", + "data-raw/datapapers_review.html first (Export CSV button) and save ", + "the download there.", call. = FALSE) +} + +decisions <- read_csv( + decisions_path, + col_types = cols(doi = col_character(), include = col_logical(), + reason = col_character()) +) +stopifnot(!any(duplicated(decisions$doi)), !any(is.na(decisions$include))) + +screening <- read_csv( + screening_path, + col_types = cols( + doi = col_character(), title = col_character(), journal = col_character(), + published_year = col_integer(), auto_relevant = col_logical(), + include = col_logical(), reason = col_character() + ) +) + +unknown <- setdiff(decisions$doi, screening$doi) +if (length(unknown) > 0) { + stop(length(unknown), " decision DOI(s) not present in the screening sheet, ", + "first: ", unknown[1], call. = FALSE) +} + +updated <- screening |> + left_join(decisions, by = "doi", suffix = c("", "_new")) |> + mutate( + include = coalesce(include_new, include), + reason = if_else(!is.na(include_new), reason_new, reason), + include_new = NULL, reason_new = NULL + ) + +write_csv(updated, screening_path, na = "") + +message(nrow(decisions), " decisions applied to ", screening_path, ": now ", + sum(updated$include %in% TRUE), " included, ", + sum(updated$include %in% FALSE), " excluded, ", + sum(is.na(updated$include)), " pending.") diff --git a/data-raw/datapapers_review.html b/data-raw/datapapers_review.html new file mode 100644 index 0000000..616807e --- /dev/null +++ b/data-raw/datapapers_review.html @@ -0,0 +1,833 @@ + + + + + +Datapapers Screening Desk - washopenresearch + + + + + + + +
+
+
washopenresearch · issue #28
+

Datapapers Screening Desk

+
+
+ included 0 + excluded 0 + pending 0 + abstract queue 0/0 +
+ +
+ +
+ +
+ + +
+
+
+
+

+
+
+
+
Abstract
+
+
+
+
+ +
+
+
+
+ + + + +
+
+ ↑↓ navigate   I include   + X exclude   U clear decision   R focus reason   + decisions auto-advance to the next pending paper +
+
+
+ +
+ + + + + diff --git a/data-raw/datapapers_review_template.html b/data-raw/datapapers_review_template.html new file mode 100644 index 0000000..240951a --- /dev/null +++ b/data-raw/datapapers_review_template.html @@ -0,0 +1,832 @@ + + + + + +Datapapers Screening Desk - washopenresearch + + + + + + + +
+
+
washopenresearch · issue #28
+

Datapapers Screening Desk

+
+
+ included 0 + excluded 0 + pending 0 + abstract queue 0/0 +
+ +
+ +
+ +
+ + +
+
+
+
+

+
+
+
+
Abstract
+
+
+
+
+ +
+
+
+
+ + + + +
+
+ ↑↓ navigate   I include   + X exclude   U clear decision   R focus reason   + decisions auto-advance to the next pending paper +
+
+
+ +
+ + + + diff --git a/data-raw/make_datapapers_review_app.R b/data-raw/make_datapapers_review_app.R new file mode 100644 index 0000000..1f26714 --- /dev/null +++ b/data-raw/make_datapapers_review_app.R @@ -0,0 +1,63 @@ +# Build the standalone HTML review app for the datapapers screening step +# (issue #28). Injects data-raw/datapapers_worklist.csv into +# data-raw/datapapers_review_template.html and writes +# data-raw/datapapers_review.html, a single file that runs from disk with no +# server. Decisions made in the app persist in the browser's localStorage and +# export as data-raw/datapapers_decisions.csv, which +# data-raw/apply_datapapers_decisions.R merges into the screening sheet. +# +# Run from the package root: +# Rscript data-raw/make_datapapers_review_app.R + +library(dplyr) +library(readr) +library(jsonlite) + +source("data-raw/helpers.R") + +worklist <- read_csv("data-raw/datapapers_worklist.csv", show_col_types = FALSE) +screening <- read_csv("data-raw/datapapers_screening.csv", show_col_types = FALSE) + +# Only candidates still pending a decision go into the app; DOIs already +# filled in the screening sheet (via apply_datapapers_decisions.R) drop out, +# so rebuilding after each applied batch yields the remaining queue. +# Rows with an abstract come first: they are the fastest to judge. +papers <- worklist |> + anti_join(screening |> filter(!is.na(include)), by = "doi") |> + arrange(desc(has_abstract), journal, published_year, title) |> + select(doi, journal, published_year, title, + matched_in_title, matched_in_abstract, + has_abstract, title_only_no_abstract, + query_term, first_author_name, first_author_affiliation, abstract) + +# Highlight terms: split "water AND sanitation" into its words; longest first +# so phrase matches ("water quality") win over their parts ("water"). +terms <- datapapers_search_terms() |> + unname() |> + strsplit(" AND ", fixed = TRUE) |> + unlist() |> + unique() |> + (\(x) x[order(-nchar(x))])() + +inject <- function(template, placeholder, json) { + # " tag early + json <- gsub(" + inject("__PAPERS_JSON__", toJSON(papers, dataframe = "rows", na = "null")) |> + inject("__TERMS_JSON__", toJSON(terms)) |> + inject("__META_JSON__", toJSON(list(built = as.character(Sys.Date())), + auto_unbox = TRUE)) + +writeLines(html, "data-raw/datapapers_review.html", useBytes = TRUE) + +message(nrow(papers), " pending candidates written to ", + "data-raw/datapapers_review.html (", sum(papers$has_abstract), + " with abstract shown first). Open it in a browser to review.") From 133d72d06e8afcbff6d22761897133dc43bf76ce Mon Sep 17 00:00:00 2001 From: larnsce Date: Thu, 23 Jul 2026 23:02:53 +0200 Subject: [PATCH 2/4] Record datapapers screening decisions (#28) The 45 auto-relevant candidates with an abstract were reviewed in the HTML review app: 8 included, 37 excluded, each with a reason. datapapers_decisions.csv is the app's export; the apply script merged it into the screening sheet keyed on DOI. The 155 title-only candidates were deliberately left unreviewed and stay include = NA in the sheet: pending rows are excluded from builds, and the sheet remains honest about what was never judged rather than recording blanket exclusions. Refs #28 Human-authored: true Assisted-by: Claude claude-fable-5 --- data-raw/datapapers_decisions.csv | 46 ++++++++++++++++ data-raw/datapapers_screening.csv | 90 +++++++++++++++---------------- 2 files changed, 91 insertions(+), 45 deletions(-) create mode 100644 data-raw/datapapers_decisions.csv diff --git a/data-raw/datapapers_decisions.csv b/data-raw/datapapers_decisions.csv new file mode 100644 index 0000000..0149607 --- /dev/null +++ b/data-raw/datapapers_decisions.csv @@ -0,0 +1,46 @@ +doi,include,reason +10.3390/data2030024,FALSE, +10.3390/data3040050,FALSE, +10.3390/data6080079,FALSE, +10.3390/data8060103,TRUE, +10.3390/data8030048,FALSE, +10.3390/data8090141,TRUE, +10.3390/data8110162,FALSE, +10.3390/data10100155,FALSE, +10.3390/data10040051,FALSE, +10.46471/gigabyte.167,TRUE, +10.1093/gigascience/gix101,FALSE, +10.1093/gigascience/giaa125,FALSE, +10.1093/gigascience/giae051,FALSE, +10.1038/sdata.2017.98,FALSE, +10.1038/sdata.2018.108,TRUE, +10.1038/s41597-019-0316-y,FALSE, +10.1038/s41597-020-00648-2,FALSE, +10.1038/s41597-020-0562-z,FALSE, +10.1038/s41597-020-0496-5,FALSE, +10.1038/s41597-020-0384-z,FALSE, +10.1038/s41597-020-00596-x,FALSE, +10.1038/s41597-021-01002-w,FALSE, +10.1038/s41597-021-00856-4,FALSE, +10.1038/s41597-022-01686-8,TRUE, +10.1038/s41597-022-01749-w,TRUE, +10.1038/s41597-022-01439-7,TRUE, +10.1038/s41597-022-01358-7,FALSE, +10.1038/s41597-022-01788-3,FALSE, +10.1038/s41597-023-02732-9,FALSE, +10.1038/s41597-023-01973-y,FALSE, +10.1038/s41597-023-02297-7,FALSE, +10.1038/s41597-023-02277-x,FALSE, +10.1038/s41597-024-03298-w,FALSE, +10.1038/s41597-024-03453-3,FALSE, +10.1038/s41597-023-02886-6,FALSE, +10.1038/s41597-024-03601-9,FALSE, +10.1038/s41597-025-06059-5,FALSE, +10.1038/s41597-025-05459-x,FALSE, +10.1038/s41597-025-05600-w,FALSE, +10.1038/s41597-025-06468-6,FALSE, +10.1038/s41597-025-05625-1,FALSE, +10.1038/s41597-025-04537-4,TRUE, +10.1038/s41597-025-05100-x,FALSE, +10.1038/s41597-026-06698-2,FALSE, +10.1038/s41597-026-07352-7,FALSE, diff --git a/data-raw/datapapers_screening.csv b/data-raw/datapapers_screening.csv index a03906d..a78b0b8 100644 --- a/data-raw/datapapers_screening.csv +++ b/data-raw/datapapers_screening.csv @@ -1,12 +1,12 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.3390/data1030020,Standardization and Quality Control in Data Collection and Assessment of Threatened Plant Species,Data,2016,FALSE,, 10.3390/data2020014,"CHASE-PL—Future Hydrology Data Set: Projections of Water Balance and Streamflow for the Vistula and Odra Basins, Poland",Data,2017,FALSE,, -10.3390/data2030024,Thermodynamic Data of Fusarium oxysporum Grown on Different Substrates in Gold Mine Wastewater,Data,2017,TRUE,, +10.3390/data2030024,Thermodynamic Data of Fusarium oxysporum Grown on Different Substrates in Gold Mine Wastewater,Data,2017,TRUE,FALSE, 10.3390/data2040035,"Earth Observation for Citizen Science Validation, or Citizen Science for Earth Observation Validation? The Role of Quality Assurance of Volunteered Observations",Data,2017,FALSE,, 10.3390/data3020021,Taguchi Orthogonal Array Dataset for the Effect of Water Chemistry on Aggregation of ZnO Nanoparticles,Data,2018,FALSE,, 10.3390/data3030027,Data Quality: A Negotiator between Paper-Based and Digital Records in Pakistan’s TB Control Program,Data,2018,FALSE,, 10.3390/data3040045,Improving the Quality of Survey Data Documentation: A Total Survey Error Perspective,Data,2018,FALSE,, -10.3390/data3040050,Application of Rough Set Theory to Water Quality Analysis: A Case Study,Data,2018,TRUE,, +10.3390/data3040050,Application of Rough Set Theory to Water Quality Analysis: A Case Study,Data,2018,TRUE,FALSE, 10.3390/data4040146,Experimental Data of a Floating Cylinder in a Wave Tank: Comparison Solid and Water Ballast,Data,2019,FALSE,, 10.3390/data5010027,Data on Orientation to Happiness in Higher Education Institutions from Mexico and El Salvador,Data,2020,FALSE,, 10.3390/data5020030,Influence of Information Quality via Implemented German RCD Standard in Research Information Systems,Data,2020,FALSE,, @@ -16,7 +16,7 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.3390/data6020015,Repository Approaches to Improving the Quality of Shared Data and Code,Data,2021,FALSE,, 10.3390/data6030026,FIKWater: A Water Consumption Dataset from Three Restaurant Kitchens in Portugal,Data,2021,FALSE,, 10.3390/data6060060,Information Quality Assessment for Data Fusion Systems,Data,2021,FALSE,, -10.3390/data6080079,Temporal Changes in Delaware Waters Using Long-Term (1967–2019) Water Temperature Data,Data,2021,TRUE,, +10.3390/data6080079,Temporal Changes in Delaware Waters Using Long-Term (1967–2019) Water Temperature Data,Data,2021,TRUE,FALSE, 10.3390/data6090100,Dataset of Flow-Induced Vibrations on a Pipe Conveying Cold Water,Data,2021,FALSE,, 10.3390/data7010001,Datasets for the Determination of Evaporative Flux from Distilled Water and Saturated Brine Using Bench-Scale Atmospheric Simulators,Data,2021,FALSE,, 10.3390/data7010006,Multi-Temporal Surface Water Classification for Four Major Rivers from the Peruvian Amazon,Data,2022,FALSE,, @@ -24,17 +24,17 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.3390/data8010008,Aggregation of Multimodal ICE-MS Data into Joint Classifier Increases Quality of Brain Cancer Tissue Classification,Data,2022,FALSE,, 10.3390/data8010021,Shapley Value as a Quality Control for Mass Spectra of Human Glioblastoma Tissues,Data,2023,FALSE,, 10.3390/data8020038,Datasets of Groundwater Level and Surface Water Budget in a Central Mediterranean Site (21 June 2017–1 October 2022),Data,2023,FALSE,, -10.3390/data8030048,Reconstructed River Water Temperature Dataset for Western Canada 1980–2018,Data,2023,TRUE,, +10.3390/data8030048,Reconstructed River Water Temperature Dataset for Western Canada 1980–2018,Data,2023,TRUE,FALSE, 10.3390/data8030055,"Dataset AqADAPT: Physicochemical Parameters, Vibrio Abundance, and Species Determination in Water Columns of Two Adriatic Sea Aquaculture Sites",Data,2023,FALSE,, 10.3390/data8040070,Clinical Trial Data on the Mechanical Removal of 14-Day-Old Dental Plaque Using Accelerated Micro-Droplets of Air and Water (Airfloss),Data,2023,FALSE,, 10.3390/data8060102,A Self-Attention-Based Imputation Technique for Enhancing Tabular Data Quality,Data,2023,FALSE,, -10.3390/data8060103,"Physico-Chemical Quality and Physiological Profiles of Microbial Communities in Freshwater Systems of Mega Manila, Philippines",Data,2023,TRUE,, +10.3390/data8060103,"Physico-Chemical Quality and Physiological Profiles of Microbial Communities in Freshwater Systems of Mega Manila, Philippines",Data,2023,TRUE,TRUE, 10.3390/data8060106,Curated Dataset for Red Blood Cell Tracking from Video Sequences of Flow in Microfluidic Devices,Data,2023,FALSE,, 10.3390/data8070117,Assessment of Maize Silage Quality under Different Pre-Ensiling Conditions,Data,2023,FALSE,, 10.3390/data8080124,Measuring the Effect of Fraud on Data-Quality Dimensions,Data,2023,FALSE,, 10.3390/data8090140,Employing Source Code Quality Analytics for Enriching Code Snippets Data,Data,2023,FALSE,, -10.3390/data8090141,Thailand Raw Water Quality Dataset Analysis and Evaluation,Data,2023,TRUE,, -10.3390/data8110162,The Development of a Water Resource Monitoring Ontology as a Research Tool for Sustainable Regional Development,Data,2023,TRUE,, +10.3390/data8090141,Thailand Raw Water Quality Dataset Analysis and Evaluation,Data,2023,TRUE,TRUE, +10.3390/data8110162,The Development of a Water Resource Monitoring Ontology as a Research Tool for Sustainable Regional Development,Data,2023,TRUE,FALSE, 10.3390/data8120182,An Automated Big Data Quality Anomaly Correction Framework Using Predictive Analysis,Data,2023,FALSE,, 10.3390/data9020035,"COVID-19 Lockdown Effects on Sleep, Immune Fitness, Mood, Quality of Life, and Academic Functioning: Survey Data from Turkish University Students",Data,2024,FALSE,, 10.3390/data9040051,Longitudinal Patterns of Online Activity and Social Feedback Are Associated with Current and Perceived Changes in Quality of Life in Adult Facebook Users,Data,2024,FALSE,, @@ -42,12 +42,12 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.3390/data9120142,Nearest-Better Network-Assisted Fitness Landscape Analysis of Contaminant Source Identification in Water Distribution Network,Data,2024,FALSE,, 10.3390/data9120151,A Framework for Current and New Data Quality Dimensions: An Overview,Data,2024,FALSE,, 10.3390/data10030033,Data Quality Tools to Enhance a Network Anomaly Detection Benchmark,Data,2025,FALSE,, -10.3390/data10040051,Observational Monitoring Records Downstream Impacts of Beaver Dams on Water Quality and Quantity in Temperate Mixed-Land-Use Watersheds,Data,2025,TRUE,, +10.3390/data10040051,Observational Monitoring Records Downstream Impacts of Beaver Dams on Water Quality and Quantity in Temperate Mixed-Land-Use Watersheds,Data,2025,TRUE,FALSE, 10.3390/data10060084,Macao-ebird: A Curated Dataset for Artificial-Intelligence-Powered Bird Surveillance and Conservation in Macao,Data,2025,FALSE,, 10.3390/data10080130,An Extended Dataset of Educational Quality Across Countries (1970–2023),Data,2025,FALSE,, 10.3390/data10090136,A FAIR Perspective on Data Quality Frameworks,Data,2025,FALSE,, 10.3390/data10090143,Comprehensive Evaluation of Water Resource Carrying Capacity in Hebei Province Based on a Combined Weighting–TOPSIS Model,Data,2025,FALSE,, -10.3390/data10100155,"A Dataset of Environmental Toxins for Water Monitoring in Coastal Waters of Southern Centre, Vietnam: Case of Nha Trang Bay",Data,2025,TRUE,, +10.3390/data10100155,"A Dataset of Environmental Toxins for Water Monitoring in Coastal Waters of Southern Centre, Vietnam: Case of Nha Trang Bay",Data,2025,TRUE,FALSE, 10.3390/data10120200,"Georeferenced Sediment and Surface Water Element Concentrations in the Coastal Liepāja Lake (Latvia), 2024",Data,2025,FALSE,, 10.3390/data10120201,"Data Quality in the Age of AI: A Review of Governance, Ethics, and the FAIR Principles",Data,2025,FALSE,, 10.3390/data10120211,A Real-World Underwater Video Dataset with Labeled Frames and Water-Quality Metadata for Aquaculture Monitoring,Data,2025,FALSE,, @@ -3315,12 +3315,12 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.46471/gigabyte.28,A high-quality draft genome for Melaleuca alternifolia (tea tree): a new platform for evolutionary genomics of myrtaceous terpene-rich species,GigaByte,2021,FALSE,, 10.46471/gigabyte.31,Atria: an ultra-fast and accurate trimmer for adapter and quality trimming,GigaByte,2021,FALSE,, 10.46471/gigabyte.74,HTGQC and shinyHTGQC: an R package and shinyR application for quality controls of HTG EDGE-seq protocols,GigaByte,2022,FALSE,, -10.46471/gigabyte.167,"Collection of entomological, demographic, water and sanitation, and climatic data of interest for arbovirus surveillance in Praia, Cabo Verde",GigaByte,2025,TRUE,, +10.46471/gigabyte.167,"Collection of entomological, demographic, water and sanitation, and climatic data of interest for arbovirus surveillance in Praia, Cabo Verde",GigaByte,2025,TRUE,TRUE, 10.1186/s13742-016-0142-5,"High-quality genome assembly of channel catfish, Ictalurus punctatus",GigaScience,2016,FALSE,, 10.1093/gigascience/gix029,Calculating the quality of public high-throughput sequencing data to obtain a suitable subset for reanalysis from the Sequence Read Archive,GigaScience,2017,FALSE,, 10.1093/gigascience/gix090,Indexcov: fast coverage quality control for whole-genome sequencing,GigaScience,2017,FALSE,, 10.1093/gigascience/gix098,A 3-way hybrid approach to generate a new high-quality chimpanzee reference genome (Pan_tro_3.0),GigaScience,2017,FALSE,, -10.1093/gigascience/gix101,LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes,GigaScience,2017,TRUE,, +10.1093/gigascience/gix101,LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes,GigaScience,2017,TRUE,FALSE, 10.1093/gigascience/gix120,SOAPnuke: a MapReduce acceleration-supported software for integrated quality control and preprocessing of high-throughput sequencing data,GigaScience,2018,FALSE,, 10.1093/gigascience/giy068,"High-quality assembly of the reference genome for scarlet sage, Salvia splendens, an economically important ornamental plant",GigaScience,2018,FALSE,, 10.1093/gigascience/giy111,Metabolomics investigation of dietary effects on flesh quality in grass carp (Ctenopharyngodon idellus),GigaScience,2018,FALSE,, @@ -3341,7 +3341,7 @@ doi,title,journal,published_year,auto_relevant,include,reason L.) reference genome",GigaScience,2020,FALSE,, 10.1093/gigascience/giaa058,Education in the genomics era: Generating high-quality genome assemblies in university courses,GigaScience,2020,FALSE,, 10.1093/gigascience/giaa078,PhaseME: Automatic rapid assessment of phasing quality and phasing improvement,GigaScience,2020,FALSE,, -10.1093/gigascience/giaa125,Localized effect of treated wastewater effluent on the resistome of an urban watershed,GigaScience,2020,TRUE,, +10.1093/gigascience/giaa125,Localized effect of treated wastewater effluent on the resistome of an urban watershed,GigaScience,2020,TRUE,FALSE, 10.1093/gigascience/giaa143,High-quality chromosome-level genome assembly and full-length transcriptome analysis of the pharaoh ant Monomorium pharaonis,GigaScience,2020,FALSE,, 10.1093/gigascience/giz164,A high-quality chromosomal genome assembly of Diospyros oleifera Cheng,GigaScience,2020,FALSE,, 10.1093/gigascience/giaa140,Streamlining data-intensive biology with workflow systems,GigaScience,2021,FALSE,, @@ -3368,7 +3368,7 @@ doi,title,journal,published_year,auto_relevant,include,reason shows allelic diversity of NLR-type resistance genes",GigaScience,2022,FALSE,, 10.1093/gigascience/giad107,A high-quality chromosomal genome assembly of the sea cucumber Chiridota heheva and its hydrothermal adaptation,GigaScience,2024,FALSE,, 10.1093/gigascience/giae006,A reference genome of Commelinales provides insights into the commelinids evolution and global spread of water hyacinth (Pontederia crassipes),GigaScience,2024,FALSE,, -10.1093/gigascience/giae051,Impact of reference design on estimating SARS-CoV-2 lineage abundances from wastewater sequencing data,GigaScience,2024,TRUE,, +10.1093/gigascience/giae051,Impact of reference design on estimating SARS-CoV-2 lineage abundances from wastewater sequencing data,GigaScience,2024,TRUE,FALSE, 10.1093/gigascience/giae075,High-quality assembly of the T2T genome for Isodon rubescens f. lushanensis reveals genomic structure variations between 2 typical forms of Isodon rubescens,GigaScience,2024,FALSE,, 10.1093/gigascience/giae079,CoCoPyE: feature engineering for learning and prediction of genome quality indices,GigaScience,2024,FALSE,, 10.1093/gigascience/giae099,Near telomere-to-telomere genome assembly of Mongolian cattle: implications for population genetic variation and beef quality,GigaScience,2024,FALSE,, @@ -3393,10 +3393,10 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/sdata.2017.160,A compendium of multi-omic sequence information from the Saanich Inlet water column,Scientific Data,2017,FALSE,, 10.1038/sdata.2017.53,Large-scale modeled contemporary and future water temperature estimates for 10774 Midwestern U.S. Lakes,Scientific Data,2017,FALSE,, 10.1038/sdata.2017.95,A comprehensive data set of lake surface water temperature over the Tibetan Plateau derived from MODIS LST products 2001–2015,Scientific Data,2017,FALSE,, -10.1038/sdata.2017.98,"Water quality measurements in San Francisco Bay by the U.S. Geological Survey, 1969–2015",Scientific Data,2017,TRUE,, +10.1038/sdata.2017.98,"Water quality measurements in San Francisco Bay by the U.S. Geological Survey, 1969–2015",Scientific Data,2017,TRUE,FALSE, 10.1038/sdata.2017.191,"TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015",Scientific Data,2018,FALSE,, 10.1038/sdata.2017.206,Australia’s continental-scale acoustic tracking database and its automated quality control process,Scientific Data,2018,FALSE,, -10.1038/sdata.2018.108,Freshwater macroinvertebrate samples from a water quality monitoring network in the Iberian Peninsula,Scientific Data,2018,TRUE,, +10.1038/sdata.2018.108,Freshwater macroinvertebrate samples from a water quality monitoring network in the Iberian Peninsula,Scientific Data,2018,TRUE,TRUE, 10.1038/sdata.2018.122,"OceanRAIN, a new in-situ shipboard global ocean surface-reference dataset of all water cycle components",Scientific Data,2018,FALSE,, 10.1038/sdata.2018.263,Generation and quality control of lipidomics data for the alzheimer’s disease neuroimaging initiative cohort,Scientific Data,2018,FALSE,, 10.1038/sdata.2018.27,High-quality science requires high-quality open data infrastructure,Scientific Data,2018,FALSE,, @@ -3410,33 +3410,33 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-019-0243-y,A data set of global river networks and corresponding water resources zones divisions,Scientific Data,2019,FALSE,, 10.1038/s41597-019-0274-4,Room-level occupant counts and environmental quality from heterogeneous sensing modalities in a smart building,Scientific Data,2019,FALSE,, 10.1038/s41597-019-0315-z,"Author Correction: Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications",Scientific Data,2019,FALSE,, -10.1038/s41597-019-0316-y,"CE-QUAL-W2 model of dam outflow elevation impact on temperature, dissolved oxygen and nutrients in a reservoir",Scientific Data,2019,TRUE,, +10.1038/s41597-019-0316-y,"CE-QUAL-W2 model of dam outflow elevation impact on temperature, dissolved oxygen and nutrients in a reservoir",Scientific Data,2019,TRUE,FALSE, 10.1038/sdata.2018.302,A global database of water vapor isotopes measured with high temporal resolution infrared laser spectroscopy,Scientific Data,2019,FALSE,, 10.1038/sdata.2019.21,The variable quality of metadata about biological samples used in biomedical experiments,Scientific Data,2019,FALSE,, 10.1038/sdata.2019.30,Assessing data availability and research reproducibility in hydrology and water resources,Scientific Data,2019,FALSE,, 10.1038/s41597-019-0339-4,Evaluating sequence data quality from the Swift Accel-Amplicon CFTR Panel,Scientific Data,2020,FALSE,, -10.1038/s41597-020-00596-x,Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach,Scientific Data,2020,TRUE,, +10.1038/s41597-020-00596-x,Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach,Scientific Data,2020,TRUE,FALSE, 10.1038/s41597-020-00612-0,The green and blue crop water requirement WATNEEDS model and its global gridded outputs,Scientific Data,2020,FALSE,, 10.1038/s41597-020-00613-z,Seventy-year long record of monthly water balance estimates for Earth’s largest lake system,Scientific Data,2020,FALSE,, -10.1038/s41597-020-00648-2,A database of chlorophyll and water chemistry in freshwater lakes,Scientific Data,2020,TRUE,, +10.1038/s41597-020-00648-2,A database of chlorophyll and water chemistry in freshwater lakes,Scientific Data,2020,TRUE,FALSE, 10.1038/s41597-020-00649-1,Approaching 80 years of snow water equivalent information by merging different data streams,Scientific Data,2020,FALSE,, 10.1038/s41597-020-00685-x,Triple isotope variations of monthly tap water in China,Scientific Data,2020,FALSE,, 10.1038/s41597-020-0363-4,Four high-quality draft genome assemblies of the marine heterotrophic nanoflagellate Cafeteria roenbergensis,Scientific Data,2020,FALSE,, -10.1038/s41597-020-0384-z,"Hydraulic, wash-off and sediment transport experiments in a full-scale urban drainage physical model",Scientific Data,2020,TRUE,, +10.1038/s41597-020-0384-z,"Hydraulic, wash-off and sediment transport experiments in a full-scale urban drainage physical model",Scientific Data,2020,TRUE,FALSE, 10.1038/s41597-020-0416-8,Publisher Correction: Room-level occupant counts and environmental quality from heterogeneous sensing modalities in a smart building,Scientific Data,2020,FALSE,, 10.1038/s41597-020-0480-0,An improved high-quality genome assembly and annotation of Tibetan hulless barley,Scientific Data,2020,FALSE,, -10.1038/s41597-020-0496-5,A novel real-world ecotoxicological dataset of pelagic microbial community responses to wastewater,Scientific Data,2020,TRUE,, +10.1038/s41597-020-0496-5,A novel real-world ecotoxicological dataset of pelagic microbial community responses to wastewater,Scientific Data,2020,TRUE,FALSE, 10.1038/s41597-020-0533-4,"Massive online data annotation, crowdsourcing to generate high quality sleep spindle annotations from EEG data",Scientific Data,2020,FALSE,, -10.1038/s41597-020-0562-z,A global dataset of surface water and groundwater salinity measurements from 1980–2019,Scientific Data,2020,TRUE,, +10.1038/s41597-020-0562-z,A global dataset of surface water and groundwater salinity measurements from 1980–2019,Scientific Data,2020,TRUE,FALSE, 10.1038/s41597-020-00795-6,The traded water footprint of global energy from 2010 to 2018,Scientific Data,2021,FALSE,, 10.1038/s41597-021-00814-0,Phytoplankton morpho-functional trait dataset from French water-bodies,Scientific Data,2021,FALSE,, -10.1038/s41597-021-00856-4,Water quality measurements in Buzzards Bay by the Buzzards Bay Coalition Baywatchers Program from 1992 to 2018,Scientific Data,2021,TRUE,, +10.1038/s41597-021-00856-4,Water quality measurements in Buzzards Bay by the Buzzards Bay Coalition Baywatchers Program from 1992 to 2018,Scientific Data,2021,TRUE,FALSE, 10.1038/s41597-021-00862-6,Downscaling GRACE total water storage change using partial least squares regression,Scientific Data,2021,FALSE,, 10.1038/s41597-021-00866-2,"Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997–2018",Scientific Data,2021,FALSE,, 10.1038/s41597-021-00909-8,A multilevel carbon and water footprint dataset of food commodities,Scientific Data,2021,FALSE,, 10.1038/s41597-021-00939-2,GlobSnow v3.0 Northern Hemisphere snow water equivalent dataset,Scientific Data,2021,FALSE,, 10.1038/s41597-021-01000-y,A global database of diversified farming effects on biodiversity and yield,Scientific Data,2021,FALSE,, -10.1038/s41597-021-01002-w,Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis,Scientific Data,2021,TRUE,, +10.1038/s41597-021-01002-w,Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis,Scientific Data,2021,TRUE,FALSE, 10.1038/s41597-021-01032-4,"SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014",Scientific Data,2021,FALSE,, 10.1038/s41597-021-01068-6,"APExpose_DE, an air quality exposure dataset for Germany 2010–2019",Scientific Data,2021,FALSE,, 10.1038/s41597-021-01074-8,A palaeoclimate proxy database for water security planning in Queensland Australia,Scientific Data,2021,FALSE,, @@ -3449,26 +3449,26 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-022-01267-9,Curation of a list of chemicals in biosolids from EPA National Sewage Sludge Surveys & Biennial Review Reports,Scientific Data,2022,FALSE,, 10.1038/s41597-022-01290-w,U.S. national water and energy land dataset for integrated multisector dynamics research,Scientific Data,2022,FALSE,, 10.1038/s41597-022-01344-z,"USACE Coastal and Hydraulics Laboratory Quality Controlled, Consistent Measurement Archive",Scientific Data,2022,FALSE,, -10.1038/s41597-022-01358-7,Paired field and water measurements from drainage management practices in row-crop agriculture,Scientific Data,2022,TRUE,, +10.1038/s41597-022-01358-7,Paired field and water measurements from drainage management practices in row-crop agriculture,Scientific Data,2022,TRUE,FALSE, 10.1038/s41597-022-01373-8,"PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru",Scientific Data,2022,FALSE,, 10.1038/s41597-022-01376-5,"The long-tail effect of the COVID-19 lockdown on Italians’ quality of life, sleep and physical activity",Scientific Data,2022,FALSE,, 10.1038/s41597-022-01410-6,"FutureStreams, a global dataset of future streamflow and water temperature",Scientific Data,2022,FALSE,, 10.1038/s41597-022-01427-x,A global database for conducting systematic reviews and meta-analyses in innovation and quality management,Scientific Data,2022,FALSE,, 10.1038/s41597-022-01430-2,Hourly rainfall data from rain gauge networks and weather radar up to 2020 across the Hawaiian Islands,Scientific Data,2022,FALSE,, -10.1038/s41597-022-01439-7,Greenhouse gas emissions from municipal wastewater treatment facilities in China from 2006 to 2019,Scientific Data,2022,TRUE,, +10.1038/s41597-022-01439-7,Greenhouse gas emissions from municipal wastewater treatment facilities in China from 2006 to 2019,Scientific Data,2022,TRUE,TRUE, 10.1038/s41597-022-01489-x,GloSEM: High-resolution global estimates of present and future soil displacement in croplands by water erosion,Scientific Data,2022,FALSE,, 10.1038/s41597-022-01503-2,Fisheries dataset on moulting patterns and shell quality of American lobsters H. americanus in Atlantic Canada,Scientific Data,2022,FALSE,, 10.1038/s41597-022-01504-1,"Atmospheric temperature, water vapour and liquid water path from two microwave radiometers during MOSAiC",Scientific Data,2022,FALSE,, -10.1038/s41597-022-01686-8,Bacteria communities and water quality parameters in riverine water and sediments near wastewater discharges,Scientific Data,2022,TRUE,, +10.1038/s41597-022-01686-8,Bacteria communities and water quality parameters in riverine water and sediments near wastewater discharges,Scientific Data,2022,TRUE,TRUE, 10.1038/s41597-022-01695-7,An analysis-ready and quality controlled resource for pediatric brain white-matter research,Scientific Data,2022,FALSE,, 10.1038/s41597-022-01742-3,High-resolution bathymetries and shorelines for the Great Lakes of the White Nile basin,Scientific Data,2022,FALSE,, 10.1038/s41597-022-01748-x,"Revised monthly energy generation estimates for 1,500 hydroelectric power plants in the United States",Scientific Data,2022,FALSE,, -10.1038/s41597-022-01749-w,"Freshwater microbial metagenomes sampled across different water body characteristics, space and time in Israel",Scientific Data,2022,TRUE,, +10.1038/s41597-022-01749-w,"Freshwater microbial metagenomes sampled across different water body characteristics, space and time in Israel",Scientific Data,2022,TRUE,TRUE, 10.1038/s41597-022-01760-1,A data set of distributed global population and water withdrawal from 1960 to 2020,Scientific Data,2022,FALSE,, 10.1038/s41597-022-01761-0,High-resolution crop yield and water productivity dataset generated using random forest and remote sensing,Scientific Data,2022,FALSE,, 10.1038/s41597-022-01768-7,A western United States snow reanalysis dataset over the Landsat era from water years 1985 to 2021,Scientific Data,2022,FALSE,, 10.1038/s41597-022-01770-z,Publisher Correction: An analysis-ready and quality controlled resource for pediatric brain white-matter research,Scientific Data,2022,FALSE,, -10.1038/s41597-022-01788-3,SARS-CoV-2 RNA levels in Scotland’s wastewater,Scientific Data,2022,TRUE,, +10.1038/s41597-022-01788-3,SARS-CoV-2 RNA levels in Scotland’s wastewater,Scientific Data,2022,TRUE,FALSE, 10.1038/s41597-022-01816-2,Author Correction: An analysis-ready and quality controlled resource for pediatric brain white-matter research,Scientific Data,2022,FALSE,, 10.1038/s41597-022-01821-5,High-quality Japanese flounder genome aids in identifying stress-related genes using gene coexpression network,Scientific Data,2022,FALSE,, 10.1038/s41597-022-01844-y,A database of water chemistry in eastern Siberian rivers,Scientific Data,2022,FALSE,, @@ -3476,7 +3476,7 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-023-01927-4,Author Correction: A database of water chemistry in eastern Siberian rivers,Scientific Data,2023,FALSE,, 10.1038/s41597-023-01935-4,Interbasin water transfers in the United States and Canada,Scientific Data,2023,FALSE,, 10.1038/s41597-023-01949-y,"Quality control and removal of technical variation of NMR metabolic biomarker data in ~120,000 UK Biobank participants",Scientific Data,2023,FALSE,, -10.1038/s41597-023-01973-y,GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality,Scientific Data,2023,TRUE,, +10.1038/s41597-023-01973-y,GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality,Scientific Data,2023,TRUE,FALSE, 10.1038/s41597-023-02034-0,"Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy",Scientific Data,2023,FALSE,, 10.1038/s41597-023-02069-3,Author Correction: GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality,Scientific Data,2023,TRUE,, 10.1038/s41597-023-02086-2,Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures,Scientific Data,2023,FALSE,, @@ -3492,8 +3492,8 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-023-02235-7,The first high-quality chromosome-level genome of the Sipuncula Sipunculus nudus using HiFi and Hi-C data,Scientific Data,2023,FALSE,, 10.1038/s41597-023-02246-4,A Chinese soil conservation dataset preventing soil water erosion from 1992 to 2019,Scientific Data,2023,FALSE,, 10.1038/s41597-023-02270-4,Chromosome-level assemblies of cultivated water chestnut Trapa bicornis and its wild relative Trapa incisa,Scientific Data,2023,FALSE,, -10.1038/s41597-023-02277-x,Identifying and sharing per-and polyfluoroalkyl substances hot-spot areas and exposures in drinking water,Scientific Data,2023,TRUE,, -10.1038/s41597-023-02297-7,Human viral nucleic acids concentrations in wastewater solids from Central and Coastal California USA,Scientific Data,2023,TRUE,, +10.1038/s41597-023-02277-x,Identifying and sharing per-and polyfluoroalkyl substances hot-spot areas and exposures in drinking water,Scientific Data,2023,TRUE,FALSE, +10.1038/s41597-023-02297-7,Human viral nucleic acids concentrations in wastewater solids from Central and Coastal California USA,Scientific Data,2023,TRUE,FALSE, 10.1038/s41597-023-02316-7,Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations,Scientific Data,2023,FALSE,, 10.1038/s41597-023-02330-9,Magnetic resonance imaging datasets with anatomical fiducials for quality control and registration,Scientific Data,2023,FALSE,, 10.1038/s41597-023-02332-7,"A soil database from Queretaro, Mexico for assessment of crop and irrigation water requirements",Scientific Data,2023,FALSE,, @@ -3514,10 +3514,10 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-023-02640-y,One-year dataset of hourly air quality parameters from 100 air purifiers used in China residential buildings,Scientific Data,2023,FALSE,, 10.1038/s41597-023-02660-8,An annotated grain kernel image database for visual quality inspection,Scientific Data,2023,FALSE,, 10.1038/s41597-023-02699-7,Improved high-quality reference genome of red drum facilitates the processes of resistance-related gene exploration,Scientific Data,2023,FALSE,, -10.1038/s41597-023-02732-9,Canada Source Watershed Polygons (Can-SWaP): A dataset for the protection of Canada’s municipal water supply,Scientific Data,2023,TRUE,, +10.1038/s41597-023-02732-9,Canada Source Watershed Polygons (Can-SWaP): A dataset for the protection of Canada’s municipal water supply,Scientific Data,2023,TRUE,FALSE, 10.1038/s41597-023-02752-5,Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing,Scientific Data,2023,FALSE,, 10.1038/s41597-023-02771-2,Author Correction: Electricity supply quality and use among rural and peri-urban households and small firms in Nigeria,Scientific Data,2023,FALSE,, -10.1038/s41597-023-02886-6,Electricity and natural gas tariffs at United States wastewater treatment plants,Scientific Data,2024,TRUE,, +10.1038/s41597-023-02886-6,Electricity and natural gas tariffs at United States wastewater treatment plants,Scientific Data,2024,TRUE,FALSE, 10.1038/s41597-024-02930-z,Urban water and electricity demand data for understanding climate change impacts on the water-energy nexus,Scientific Data,2024,FALSE,, 10.1038/s41597-024-02963-4,"High frequency Lunar Penetrating Radar quality control, editing and processing of Chang’E-4 lunar mission",Scientific Data,2024,FALSE,, 10.1038/s41597-024-03028-2,Transitioning from MODIS to VIIRS Global Water Reservoir Product,Scientific Data,2024,FALSE,, @@ -3542,7 +3542,7 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-024-03286-0,Metagenomics datasets of water and sediments from eutrophication-impacted artificial lakes in South Africa,Scientific Data,2024,FALSE,, 10.1038/s41597-024-03289-x,Chromosome-level genome assembly of Odontothrips loti Haliday (Thysanoptera: Thripidae),Scientific Data,2024,FALSE,, 10.1038/s41597-024-03290-4,A high-resolution dataset of water bodies distribution over the Tibetan Plateau,Scientific Data,2024,FALSE,, -10.1038/s41597-024-03298-w,"A point-of-use drinking water quality dataset from fieldwork in Detroit, Michigan",Scientific Data,2024,TRUE,, +10.1038/s41597-024-03298-w,"A point-of-use drinking water quality dataset from fieldwork in Detroit, Michigan",Scientific Data,2024,TRUE,FALSE, 10.1038/s41597-024-03313-0,"A high-quality chromosome-scale genome assembly of blood orange, an important pigmented sweet orange variety",Scientific Data,2024,FALSE,, 10.1038/s41597-024-03328-7,Global WaterPack - The development of global surface water over the past 20 years at daily temporal resolution,Scientific Data,2024,FALSE,, 10.1038/s41597-024-03376-z,A high-quality chromosome-level genome assembly of Ficus hirta,Scientific Data,2024,FALSE,, @@ -3550,14 +3550,14 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-024-03383-0,A high-quality dataset featuring classified and annotated cervical spine X-ray atlas,Scientific Data,2024,FALSE,, 10.1038/s41597-024-03412-y,Chromosome-level genome assembly and annotation of the cold-water species Ophiura sarsii,Scientific Data,2024,FALSE,, 10.1038/s41597-024-03434-6,Harmonized Database of Western U.S. Water Rights (HarDWR) v.1,Scientific Data,2024,FALSE,, -10.1038/s41597-024-03453-3,Chlorophyll a in lakes and streams of the United States (2005–2022),Scientific Data,2024,TRUE,, +10.1038/s41597-024-03453-3,Chlorophyll a in lakes and streams of the United States (2005–2022),Scientific Data,2024,TRUE,FALSE, 10.1038/s41597-024-03458-y,A high-quality genome assembly and annotation of Thielaviopsis punctulata DSM102798,Scientific Data,2024,FALSE,, 10.1038/s41597-024-03474-y,CaRDS - the statewide California Residential water Demand and Supply open dataset,Scientific Data,2024,FALSE,, 10.1038/s41597-024-03475-x,A dataset on survey designs and quality of social and behavioral science surveys during the COVID-19 pandemic,Scientific Data,2024,FALSE,, 10.1038/s41597-024-03477-9,Spatially distributed atmospheric boundary layer properties in Houston – A value-added observational dataset,Scientific Data,2024,FALSE,, 10.1038/s41597-024-03494-8,CODC-v1: a quality-controlled and bias-corrected ocean temperature profile database from 1940–2023,Scientific Data,2024,FALSE,, 10.1038/s41597-024-03507-6,Features and quality metrics datasets for video coding in DASH,Scientific Data,2024,FALSE,, -10.1038/s41597-024-03601-9,Non-redundant metagenome-assembled genomes of activated sludge reactors at different disturbances and scales,Scientific Data,2024,TRUE,, +10.1038/s41597-024-03601-9,Non-redundant metagenome-assembled genomes of activated sludge reactors at different disturbances and scales,Scientific Data,2024,TRUE,FALSE, 10.1038/s41597-024-03617-1,A high-quality chromosome-level genome assembly of the endangered tree Kmeria septentrionalis,Scientific Data,2024,FALSE,, 10.1038/s41597-024-03628-y,Improved high quality sand fly assemblies enabled by ultra low input long read sequencing,Scientific Data,2024,FALSE,, 10.1038/s41597-024-03638-w,High-quality reference genome of cowpea beetle Callosobruchus maculatus,Scientific Data,2024,FALSE,, @@ -3603,7 +3603,7 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-025-04461-7,A high-quality chromosome-scale genome assembly of the Cherokee rose (Rosa laevigata),Scientific Data,2025,FALSE,, 10.1038/s41597-025-04509-8,"A high-quality chromosome-level genome assembly of the mulberry looper, Phthonandria atrilineata",Scientific Data,2025,FALSE,, 10.1038/s41597-025-04534-7,"Compilation of riverine water quality data from the Great Barrier Reef catchment area, northeastern Australia",Scientific Data,2025,TRUE,, -10.1038/s41597-025-04537-4,The Water Health Open Knowledge Graph,Scientific Data,2025,TRUE,, +10.1038/s41597-025-04537-4,The Water Health Open Knowledge Graph,Scientific Data,2025,TRUE,TRUE, 10.1038/s41597-025-04540-9,SIBES: Long-term and large-scale monitoring of intertidal macrozoobenthos and sediment in the Dutch Wadden Sea,Scientific Data,2025,FALSE,, 10.1038/s41597-025-04571-2,"High-quality genome assembly of a cosmopolitan insect predator, Chrysoperla zastrowi sillemi (Esben-Petersen)",Scientific Data,2025,FALSE,, 10.1038/s41597-025-04611-x,"UAS hydrometry: contactless river water level, bathymetry, and flow velocity – the Rӧnne river dataset",Scientific Data,2025,FALSE,, @@ -3628,7 +3628,7 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-025-05001-z,HarvestStat Africa – Harmonized Subnational Crop Statistics for Sub-Saharan Africa,Scientific Data,2025,FALSE,, 10.1038/s41597-025-05016-6,A global dataset on mungbean for managing seed yield and quality,Scientific Data,2025,FALSE,, 10.1038/s41597-025-05058-w,The high-quality telomere-to-telomere genome assembly of the earthworm (Amynthas aspergillum),Scientific Data,2025,FALSE,, -10.1038/s41597-025-05100-x,"Wastewater dataset on the SARS-CoV-2 sublineages circulating in Central Arkansas, USA, post-COVID-19 pandemic",Scientific Data,2025,TRUE,, +10.1038/s41597-025-05100-x,"Wastewater dataset on the SARS-CoV-2 sublineages circulating in Central Arkansas, USA, post-COVID-19 pandemic",Scientific Data,2025,TRUE,FALSE, 10.1038/s41597-025-05146-x,A dataset for quality evaluation of pelvic X-ray and diagnosis of developmental dysplasia of the hip,Scientific Data,2025,FALSE,, 10.1038/s41597-025-05172-9,CODC-S: A quality-controlled global ocean salinity profiles dataset,Scientific Data,2025,FALSE,, 10.1038/s41597-025-05208-0,Quality assured spatial dataset of wildfire containment firelines and engagement outcomes 2017 to 2024,Scientific Data,2025,FALSE,, @@ -3644,16 +3644,16 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-025-05431-9,Correction: High Resolution Water Quality Dataset of Chinese Lakes and Reservoirs from 2000 to 2023,Scientific Data,2025,TRUE,, 10.1038/s41597-025-05444-4,A dual water isotope dataset for quantifying summer water mass transport in the northern South China Sea,Scientific Data,2025,FALSE,, 10.1038/s41597-025-05454-2,High-quality chromosome-level genome of three Meretrix species using Nanopore and Hi-C technologies,Scientific Data,2025,FALSE,, -10.1038/s41597-025-05459-x,Dataset on wastewater quality monitoring with adsorption and reflectance spectrometry in the UV-vis range,Scientific Data,2025,TRUE,, +10.1038/s41597-025-05459-x,Dataset on wastewater quality monitoring with adsorption and reflectance spectrometry in the UV-vis range,Scientific Data,2025,TRUE,FALSE, 10.1038/s41597-025-05469-9,Chromosome-level genome assembly and annotation of Spinibarbus caldwelli,Scientific Data,2025,FALSE,, 10.1038/s41597-025-05494-8,A high-quality chromosome-level genome assembly and annotation of the giant freshwater prawn (Macrobrachium rosenbergii),Scientific Data,2025,FALSE,, 10.1038/s41597-025-05562-z,A Global Multi-Sensor Dataset of Surface Water Indices from Landsat-8 and Sentinel-2 Satellite Measurements,Scientific Data,2025,FALSE,, 10.1038/s41597-025-05563-y,BladeSynth: A High-Quality Rendering-Based Synthetic Dataset for Aero Engine Blade Defect Inspection,Scientific Data,2025,FALSE,, 10.1038/s41597-025-05564-x,A High-Quality Underwater Acoustic Dataset for Algorithm Development and Analysis,Scientific Data,2025,FALSE,, 10.1038/s41597-025-05577-6,"A high-quality chromosome-scale genome assembly of Xingan mandarin (Citrus reticulata ‘Xingan’), a primitive Mandarin type",Scientific Data,2025,FALSE,, -10.1038/s41597-025-05600-w,LAGOS-US LANDSAT: Remotely sensed water quality estimates for U.S. lakes over 4 ha from 1984 to 2020,Scientific Data,2025,TRUE,, +10.1038/s41597-025-05600-w,LAGOS-US LANDSAT: Remotely sensed water quality estimates for U.S. lakes over 4 ha from 1984 to 2020,Scientific Data,2025,TRUE,FALSE, 10.1038/s41597-025-05609-1,A bio-optical database for the remote sensing of water quality in BRAZil coAstal and inland waters (BRAZA),Scientific Data,2025,TRUE,, -10.1038/s41597-025-05625-1,"Swiss data quality: augmenting CAMELS-CH with isotopes, water quality, agricultural and atmospheric data",Scientific Data,2025,TRUE,, +10.1038/s41597-025-05625-1,"Swiss data quality: augmenting CAMELS-CH with isotopes, water quality, agricultural and atmospheric data",Scientific Data,2025,TRUE,FALSE, 10.1038/s41597-025-05659-5,A comprehensive water bodies dataset of high-mountain Asia,Scientific Data,2025,FALSE,, 10.1038/s41597-025-05708-z,"Machine learning training data: over 500,000 images of butterflies and moths (Lepidoptera) with species labels",Scientific Data,2025,FALSE,, 10.1038/s41597-025-05777-0,"High quality chromosome level genome assembly of Camellia fascicularis, an endangered plant in China",Scientific Data,2025,FALSE,, @@ -3671,7 +3671,7 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-025-06013-5,Surface Water Transitions 1984–2022: A Global Dataset at Annual Resolution,Scientific Data,2025,FALSE,, 10.1038/s41597-025-06024-2,A high-quality chromosome-level genome assembly of herbaceous bamboo species Lithachne pauciflora,Scientific Data,2025,FALSE,, 10.1038/s41597-025-06026-0,DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks,Scientific Data,2025,FALSE,, -10.1038/s41597-025-06059-5,A three-decade lake dataset on the Mongolian plateau tracking water area and quality dynamics (1990–2020),Scientific Data,2025,TRUE,, +10.1038/s41597-025-06059-5,A three-decade lake dataset on the Mongolian plateau tracking water area and quality dynamics (1990–2020),Scientific Data,2025,TRUE,FALSE, 10.1038/s41597-025-06069-3,High-quality phased genome assemblies of line-bred Korean Hanwoo cattle,Scientific Data,2025,FALSE,, 10.1038/s41597-025-06078-2,High-quality genome assemblies of 152 root commensal bacteria from the model legume Lotus japonicus,Scientific Data,2025,FALSE,, 10.1038/s41597-025-06112-3,Chromosome-Level Genome Assembly and Annotation of the Japanese Cutlassfish (Trichiurus japonicus): A High-Quality Genomic Resource Featuring Nuclear and Mitochondrial Completeness for Future Studies,Scientific Data,2025,FALSE,, @@ -3691,7 +3691,7 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-025-06401-x,"The UFLUX ensemble of multiple-scale carbon, water, and energy fluxes",Scientific Data,2025,FALSE,, 10.1038/s41597-025-06405-7,High-quality chromosome-level genome assembly of the snake Pseudoxenodon stejnegeri (Squamata: Colubridae),Scientific Data,2025,FALSE,, 10.1038/s41597-025-06415-5,Reconstructing high-quality ground-level ozone records from 1980 to 2012 in central and eastern China,Scientific Data,2025,FALSE,, -10.1038/s41597-025-06468-6,Puerto Rico Coral Reef Monitoring Program Water Quality Data from 2023–2025,Scientific Data,2025,TRUE,, +10.1038/s41597-025-06468-6,Puerto Rico Coral Reef Monitoring Program Water Quality Data from 2023–2025,Scientific Data,2025,TRUE,FALSE, 10.1038/s41597-025-06475-7,"Deep metatranscriptomic sequencing data of wastewater from Los Angeles, USA, 2023–2024",Scientific Data,2025,TRUE,, 10.1038/s41597-025-06479-3,A high-quality chromosome-level reference genome of Pulsatilla chinensis,Scientific Data,2025,FALSE,, 10.1038/s41597-025-05794-z,A Benchmark Dataset for Machine Learning Surrogates of Pore-Scale CO2-Water Interaction,Scientific Data,2026,FALSE,, @@ -3704,7 +3704,7 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-026-06595-8,High-resolution gridded dataset of sectoral water pollution discharges in China from 2007 to 2022,Scientific Data,2026,FALSE,, 10.1038/s41597-026-06604-w,A Machine Learning approach for Total Water storage anomaly eXtension back to 1980 (ML-TWiX),Scientific Data,2026,FALSE,, 10.1038/s41597-026-06640-6,"Chromosome-level genome assembly of narrow-leaf bur-reed (Sparganium angustifolium Michx., Typhaceae)",Scientific Data,2026,FALSE,, -10.1038/s41597-026-06698-2,A Real-World Dataset for detecting Handwashing in daily Life using Wrist Motion Data from Wearables,Scientific Data,2026,TRUE,, +10.1038/s41597-026-06698-2,A Real-World Dataset for detecting Handwashing in daily Life using Wrist Motion Data from Wearables,Scientific Data,2026,TRUE,FALSE, 10.1038/s41597-026-06713-6,Single-lead Thigh ECG Dataset (tOLIet) with Analysis of BMI Effects on Cardiac Signal Quality,Scientific Data,2026,FALSE,, 10.1038/s41597-026-06725-2,A high-quality chromosome level genome assembly of the South African indigenous Nguni goat (Capra hircus),Scientific Data,2026,FALSE,, 10.1038/s41597-026-06733-2,Seismocardiography Pig Hypovolemia Dataset for Signal Quality Indexing and Validated Cardiac Timings,Scientific Data,2026,FALSE,, @@ -3738,7 +3738,7 @@ doi,title,journal,published_year,auto_relevant,include,reason 10.1038/s41597-026-07286-0,A telomere-to-telomere genome assembly of Chinese water deer (Hydropotes inermis),Scientific Data,2026,FALSE,, 10.1038/s41597-026-07307-y,"Full-range (VNIR–SWIR–MWIR–LWIR) mineral and VNIR water spectra with co-located geochemistry from an acid mine drainage (AMD) site (Kirki, NE Greece)",Scientific Data,2026,FALSE,, 10.1038/s41597-026-07346-5,The first chromosomal level genome assembly and annotation of Pareuchiloglanis anteanalis,Scientific Data,2026,FALSE,, -10.1038/s41597-026-07352-7,Caravan-Qual: A global scale integration of stream water quality observations into a large-sample hydrology dataset,Scientific Data,2026,TRUE,, +10.1038/s41597-026-07352-7,Caravan-Qual: A global scale integration of stream water quality observations into a large-sample hydrology dataset,Scientific Data,2026,TRUE,FALSE, 10.1038/s41597-026-07375-0,Hip joint image quality screening based on the Diffusion Mamba model,Scientific Data,2026,FALSE,, 10.1038/s41597-026-07386-x,High-quality telomere-to-telomere genome assembly of the critically endangered tree Magnolia longipedunculata,Scientific Data,2026,FALSE,, 10.1038/s41597-026-07387-w,High-quality genome and transcriptome resources for the East Asian freshwater mussel Nodularia douglasiae,Scientific Data,2026,FALSE,, From bc7dd815174509f6e856d2fbbd912abd9230fc31 Mon Sep 17 00:00:00 2001 From: larnsce Date: Thu, 23 Jul 2026 23:03:16 +0200 Subject: [PATCH 3/4] Build datapapers dataset and re-knit README (#28) The 8 included papers become data/datapapers.rda plus the CSV/XLSX exports, processed by 03_datapapers_process.R from the committed screening sheet. One affiliation needed the country fixes sheet (Universidade Jean Piaget de Cabo Verde is Cabo Verde). All 8 rows have data_repo_url NA because the harvest carried no dataset-relation metadata; collecting those links from the papers is where issue #27 picks up. README.Rmd renders with all four datasets for the first time. The chunk renumbering orphaned the previous README figure PNGs, so the six stale ones are removed; the pkgdown docs/ site keeps its own copies until its next rebuild. devtools::check() passes with 0 errors, 0 warnings, 0 notes. Closes #28 Assisted-by: Claude claude-fable-5 --- README.md | 588 +++++++++++++++++- data-raw/datapapers_country_fixes.csv | 1 + data/datapapers.rda | Bin 0 -> 5351 bytes inst/extdata/datapapers.csv | 10 + inst/extdata/datapapers.xlsx | Bin 0 -> 12019 bytes ...10-1.png => README-unnamed-chunk-12-1.png} | Bin ...11-1.png => README-unnamed-chunk-13-1.png} | Bin man/figures/README-unnamed-chunk-6-1.png | Bin 21777 -> 0 bytes man/figures/README-unnamed-chunk-7-1.png | Bin 52740 -> 0 bytes man/figures/README-unnamed-chunk-8-1.png | Bin 94474 -> 0 bytes man/figures/README-unnamed-chunk-9-1.png | Bin 90023 -> 0 bytes 11 files changed, 580 insertions(+), 19 deletions(-) create mode 100644 data/datapapers.rda create mode 100644 inst/extdata/datapapers.csv create mode 100644 inst/extdata/datapapers.xlsx rename man/figures/{README-unnamed-chunk-10-1.png => README-unnamed-chunk-12-1.png} (100%) rename man/figures/{README-unnamed-chunk-11-1.png => README-unnamed-chunk-13-1.png} (100%) delete mode 100644 man/figures/README-unnamed-chunk-6-1.png delete mode 100644 man/figures/README-unnamed-chunk-7-1.png delete mode 100644 man/figures/README-unnamed-chunk-8-1.png delete mode 100644 man/figures/README-unnamed-chunk-9-1.png diff --git a/README.md b/README.md index 3fdc7e8..54f6819 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,7 @@ The goal of washopenresearch is to provide an overview of open research data related to Water Sanitation and Hygiene (WASH). The current version -contains three datasets from the following sources: +contains four datasets from the following sources: - `washdev`: Open access journal [*Journal of Water, Sanitation and Hygiene for Development*](https://iwaponline.com/washdev) @@ -23,6 +23,15 @@ contains three datasets from the following sources: News](https://waterinstitute.unc.edu/our-work/nc-water-news-newsletter) - `ploswater`: Open access journal [*PLOS Water*](https://journals.plos.org/water/) +- `datapapers`: WASH-related data papers in seven dedicated data + journals ([Scientific Data](https://www.nature.com/sdata/), [Data in + Brief](https://www.sciencedirect.com/journal/data-in-brief), [Gates + Open Research](https://gatesopenresearch.org), + [F1000Research](https://f1000research.com), + [GigaScience](https://academic.oup.com/gigascience), + [GigaByte](https://gigabytejournal.com), and + [Data](https://www.mdpi.com/journal/data)), harvested from Crossref + and Europe PMC
gt::as_raw_html() ``` -
+
@@ -141,7 +151,7 @@ washdev |> - + @@ -170,7 +180,7 @@ washdev |> - + @@ -199,7 +209,7 @@ washdev |> - +
NA NA NANA10.2166/washdev.2011.0001 iwaponline.com
28745 1NA NA function-based; sanitation technologies; sustainability; the sanitation ladderNA10.2166/washdev.2011.014 iwaponline.com
28743 1NA NA biosolid accumulation; Cyperus papyrus; Echinochloa pyramidalis; faecal sludge dewatering; pollutant removal efficiencies; vertical-flow constructed wetlandsNA10.2166/washdev.2011.001 iwaponline.com
@@ -794,8 +804,9 @@ character -DOI of the paper. Collected since the R port of the scraper; NA for -articles scraped earlier +DOI of the paper. Collected by the R scraper for recent articles and +backfilled via Crossref for legacy rows (issue \#20); NA where no +Crossref match was found (see data-raw/washdev-doi-review.csv) @@ -820,7 +831,7 @@ uncnewsletter |> gt::as_raw_html() ``` -
+
@@ -852,6 +863,7 @@ uncnewsletter |> + @@ -882,7 +894,8 @@ uncnewsletter |> - + + @@ -910,7 +923,8 @@ uncnewsletter |> - + + @@ -938,7 +952,8 @@ uncnewsletter |> - + +
das_repo_url citations keywordsdoi
NA NA 2drinkingwater; environmentalpolicy; healthandsafety
drinkingwater; environmentalpolicy; healthandsafety10.1002/ep.13800
89 http://eepurl.com/ieh0rf https://ajph.aphapublications.org/doi/abs/10.2105/AJPH.2022.307108NA NA 3NA
NA10.2105/ajph.2022.307108
200 http://eepurl.com/hWz3Yf https://aslopubs.onlinelibrary.wiley.com/doi/abs/10.1002/lom3.10469available in online repository https://github.com/tedlanghorst/OpenOBS 4NA
NA10.1002/lom3.10469
@@ -1499,6 +1514,27 @@ Keywords of the paper separated by a semicolon + + + + +doi + + + + +character + + + + +DOI of the paper backfilled via a Crossref title search (issue \#20); NA +where no match cleared the title-similarity threshold (see +data-raw/uncnewsletter-doi-review.csv) + + + + @@ -1523,7 +1559,7 @@ ploswater |> gt::as_raw_html() ``` -
+
@@ -2324,6 +2360,489 @@ Date of publication (ISO 8601) +### datapapers + +The dataset `datapapers` contains WASH-related data papers published in +seven dedicated data journals, identified from Crossref and Europe PMC +metadata and screened for relevance (see `data-raw/README.md` for the +pipeline). It has 8 observations. Because a data paper exists to +describe a shared dataset, `data_repo_url` and `data_repo` take the role +that the data availability statement variables play in the other two +datasets. + +``` r +datapapers |> + head(3) |> + gt::gt() |> + gt::as_raw_html() +``` + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
paperiddoipaper_urlurl_sourcejournaltitlepublished_yearnum_authorsfirst_author_namefirst_author_affiliationfirst_author_affiliation_countrydata_repo_urldata_repolicenserelated_paper_doiabstractquery_termretrieval_date
110.3390/data8060103https://doi.org/10.3390/data8060103mdpi.comDataPhysico-Chemical Quality and Physiological Profiles of Microbial Communities in Freshwater Systems of Mega Manila, Philippines20236Marie Christine M. ObusanMicrobial Ecology of Terrestrial and Aquatic Systems Laboratory, Institute of Biology, College of Science, University of the Philippines Diliman, Quezon City 1101, PhilippinesPhilippinesNANAhttps://creativecommons.org/licenses/by/4.0/NA<jats:p>Studying the quality of freshwater systems and drinking water in highly urbanized megalopolises around the world remains a challenge. This article reports data on the quality of select freshwater systems in Mega Manila, Philippines. Water samples collected between 2020 and 2021 were analyzed for physico-chemical parameters and microbial community metabolic fingerprints, i.e., carbon substrate utilization patterns (CSUPs). The detection of arsenic, lead, cadmium, mercury, polyaromatic hydrocarbons (PAHs), and organochlorine pesticides (OCPs) was carried out using standard chromatography- and spectroscopy-based protocols. Physiological profiles were determined using the Biolog EcoPlate™ system. Eight samples were free of heavy metals, and none contained PAHs or OCPs. Fourteen samples had high microbial activity, as indicated by average well color development (AWCD) and community metabolic diversity (CMD) values. Community-level physiological profiling (CLPP) revealed that (1) samples clustered as groups according to shared CSUPs, and (2) microbial communities in non-drinking samples actively utilized all six substrate classes compared to drinking samples. The data reported here can provide a baseline or a comparator for prospective quality assessments of drinking water and freshwater sources in the region. Metabolic fingerprinting using CSUPs is a simple and cheap phenotypic analysis of microbial communities and their physiological activity in aquatic environments.</jats:p>water quality2026-07-23
210.3390/data8090141https://doi.org/10.3390/data8090141mdpi.comDataThailand Raw Water Quality Dataset Analysis and Evaluation20236Jaturapith KrohkaewDepartment of Big Data Management and Analytics, Rajamangala University of Technology Thanyaburi, Pathum Thani 12110, ThailandThailandNANAhttps://creativecommons.org/licenses/by/4.0/NA<jats:p>Sustainable water quality data are important for understanding historical variability and trends in river regimes, as well as the impact of industrial waste on the health of aquatic ecosystems. Sustainable water management practices heavily depend on reliable and comprehensive data, prompting the need for accurate monitoring and assessment of water quality parameters. This research describes a reconstructed daily water quality dataset that complements rare historical observations for six station points along the Chao Phraya River in Thailand. Internet of Things technology and a Eureka water probe sensor is used to collect and reconstruct the water quality dataset for the period from June 2022–February 2023, with Turbidity, Optical Dissolved Oxygen, Dissolved Oxygen Saturation, Spatial Conductivity, Acidity/Basicity, Total Dissolved Solids, Salinity, Temperature, Chlorophyll, and Depth as the recorded parameters from six different stations. The presented dataset comprises a total of 211,322 data points, which are separated into six CSV files. The dataset is then evaluated using the Long Short-Term Memory (LSTM) algorithm with a Mean Squared Error (MSE) of 0.0012256, and Root Mean Squared Error (RMSE) of 0.0350080. The proposed dataset provides valuable insights for researchers studying river ecosystems, supporting informed decision-making and sustainable water management practices.</jats:p>drinking water; water quality; water sanitation2026-07-23
310.46471/gigabyte.167https://doi.org/10.46471/gigabyte.167gigabytejournal.comGigaByteCollection of entomological, demographic, water and sanitation, and climatic data of interest for arbovirus surveillance in Praia, Cabo Verde20257Lara Ferrero GómezUniversidade Jean Piaget de Cabo VerdeCabo VerdeNANAhttps://creativecommons.org/licenses/by/4.0/NA<jats:p>Vector-borne diseases, primarily those transmitted by mosquitoes, are a serious public health problem. Some, such as dengue, put half of the world’s population at risk. Combating these diseases requires multifaceted strategies, with vector surveillance and control playing key roles. Robust and predictive surveillance systems for vector-borne diseases, based on risk stratification, enable the implementation of appropriate interventions across time and space. Here, we present a collection of entomological, demographic, water and sanitation, and climatic data from Praia (Cabo Verde), a hotspot for mosquito-borne diseases. These data were collected from June to November 2022, at 40 sentinel points scattered across the urban area of Praia. They constitute a valuable source of information for developing predictive scenarios of arbovirus outbreak risk using statistical models applied to spatial and non-spatial indicators. These data demonstrate the utility of GBIF in transforming large volumes of occurrence data into valuable information for arbovirus surveillance and vector control.</jats:p>drinking water; sanitation; water quality; water sanitation2026-07-23
+
+ +For an overview of the variable descriptions, see the following table. + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +variable_name + + +variable_type + + +description +
+ +paperid + + +integer + + +ID number of the paper within this dataset +
+ +doi + + +character + + +DOI of the data paper +
+ +paper_url + + +character + + +Official url of the paper (DOI resolver link) +
+ +url_source + + +character + + +Publisher website of the paper +
+ +journal + + +character + + +Full name of the journal +
+ +title + + +character + + +Title of the paper +
+ +published_year + + +integer + + +Year of publication +
+ +num_authors + + +integer + + +Number of the authors +
+ +first_author_name + + +character + + +Name of the first author +
+ +first_author_affiliation + + +character + + +Academic affiliation of the first author +
+ +first_author_affiliation_country + + +character + + +Country of the first author parsed from first_author_affiliation +variable encoded with United Nations names +
+ +data_repo_url + + +character + + +Website urls of the repository holding the dataset the paper describes +separated by a semicolon when there are multiple +
+ +data_repo + + +character + + +Name of the data repository (e.g. Zenodo Dryad Figshare OSF Dataverse) +parsed from data_repo_url +
+ +license + + +character + + +License url of the paper from Crossref metadata +
+ +related_paper_doi + + +character + + +DOI of a linked research article if any separated by a semicolon when +there are multiple +
+ +abstract + + +character + + +Abstract of the paper as provided by the metadata source +
+ +query_term + + +character + + +WASH search term(s) that retrieved the paper separated by a semicolon +
+ +retrieval_date + + +date + + +Date the paper metadata was harvested from the API +
+ +
+ ## Example ### washdev @@ -2351,7 +2870,7 @@ washdev |> theme_classic() ``` - + 2. What are the top choices of keywords in WASH Dev? @@ -2401,7 +2920,27 @@ uncnewsletter |> theme_classic() ``` - + + +### datapapers + +1. How many papers per journal, and how many resolve to a data + repository? + +``` r +datapapers |> + group_by(journal) |> + summarise(papers = n(), + with_repository_link = sum(!is.na(data_repo_url))) |> + arrange(desc(papers)) |> + knitr::kable() +``` + +| journal | papers | with_repository_link | +|:----------------|-------:|---------------------:| +| Scientific Data | 5 | 0 | +| Data | 2 | 0 | +| GigaByte | 1 | 0 | ## Method @@ -2426,6 +2965,17 @@ publication’s html file using the publication url. The retrieval is rule-based to find the relevant fields (e.g. supplementary materials) and extract the value. +### datapapers + +The collection of `datapapers` is fully scripted in R. Crossref is +queried by journal ISSN and Europe PMC by journal name (for the +F1000-platform journals) with a fixed list of WASH search terms; the +harvest is committed as a raw snapshot with the retrieval date and +matching query terms recorded per row. Relevance screening and country +corrections are captured in committed CSV decision sheets keyed on DOI, +so the pipeline runs end-to-end non-interactively. See +`data-raw/README.md` for the run order. + ### uncnewsletter The collection of `uncnewsletter` is a combination of web scraping and diff --git a/data-raw/datapapers_country_fixes.csv b/data-raw/datapapers_country_fixes.csv index f096d73..4e4d87d 100644 --- a/data-raw/datapapers_country_fixes.csv +++ b/data-raw/datapapers_country_fixes.csv @@ -1 +1,2 @@ doi,first_author_affiliation_country +10.46471/gigabyte.167,Cabo Verde diff --git a/data/datapapers.rda b/data/datapapers.rda new file mode 100644 index 0000000000000000000000000000000000000000..146e19bfc122742851ea742a459efbac304cacf8 GIT binary patch literal 5351 zcmVSzI= z1JnS}05kw-27t(w0QCW&&;T+G2dDrv8UcX~28@i205kvrppg(DAdLvhGHH@+Q}k2C zJ*s}FGJ1`adLYw4007Vc8Vn&F&^a`}*td{Ea#rtDF5mt1NF+-33*w6=zj@+jfx;0Km{`(dE-U46l0nB) zsA4*LU;8I!$sj}c^oDLicTsV1!wf^arE`-LO9yhDN?%oPbP?Ws zyWRJ5PR$jAnzu`_$*VrcxjE}Sv3|5ht90F_mTGzd+EmnCYfP=@@W7N?O=*TUK_`j= z$Vf1f2ZaKG7C@8QFqlGLzM>Ky21x{1!cSG%>OvZ@n;;a)E$SDalM`dVa{D_a=Z@*k z{niboJ(p3gXIBiwUtT(8T%*tdzH_ijwNxQix&Bd8U=a}~)sy>0E1Nxd{r0eGRU$`F z?5f(%*!BG~FL=dBKvgu2cJ&)C-wE#MzUe z%F7@*w1}?6#t^zD{35l`Y?P5KQ;Hcka){=lS!Rer z`Y9K1>lP{)b{i)0gxE|D;ydt=YSoz2FLUM^tI@s_TI7>3SK-O`Nh zwt~!_s+AF%csyv2d^e}?S_m4~Tl2o%cBRu{j?Kl9?N;jN*IhW`O@|q59Aw_R4!p&m zeiom)h9L4s+cfFQLU*t)-c44a_Dx3!yP(WRVwvM- z7M{fmlSDq4rr35Wl=5zyLWKwMYb{)Xt|IZK;R1zSm_C;j)w{0H;!Q}>Uc`?Vft$V7 z?ANZyTH%#cOD{066@qCo#P8bqY>soDdRJ}=HCH^sMpW>pLmQpKq#VvJ4b=lO8{xW^ zhviVIGNTgVo=uoBVi5~jwCGtYK$1Kt6fz(PuFTm>1;f<&ufm$zhkB)YLBYgSHBEz> zMDaHd%p_L$t>$KgiV#Hu{>WhjRnZ|4s*cE5I74(8)@{=pEgf+K50#|;uP5jNbuT&TD@|d&ib7l!!UoRMBW)pO<|1RV+zga*rpsl`LkmvzxbE75y)|gO%bVx8Z9SY|LjujHdS$S*xoDGmQB5e- zNs5HlThnx&;HHU0gkN>kN){y%vJ0Xlaz9)0$n2T73Zrs#L5r6yzRCvNBN;nEvNuLK z%^C)d!%>bgXXD89VU>cV44#L(eHFUaJ&2n0@tf~uD zsoiVGj12`l!rudIW6nAlj9I#CpG`THC;fbNldSAyY+icbhkvG4sXNNwA;O7uo zl;sDLE;ga(nbwHoym?F3J}@%{^As{9UHo#bVeb>}u$U<;;E*Z?7sdgo98gdXmy_)9rjesy;4pjV7K{ajhGcra4fljH z?{jUYW@w`WTAP+;y{L^Kc)bC-UH1se%Nk@+TZl1np$!+VR!hXec%$?@+T!~_fw~@b zW7eSkj5^u%7-}9zeGRTUde0XIV!4D7%7#kQ48>bILLOmlM&V%n*g>*S7Sr2b@@3|O z&<{4JKPd_dL2@#fdLMJcdIrk)_V-9ZzD?2{tdWe8oVzipogS$PQqz1{Ntubg#%ibE z&6XaGN<>m0X(=|!S*cp%1~#Z~Pu;C{je%aH8`2ok#(IaLhQ@NKJyELz6dsS+b0lGf^u$ngoyB6ClFDuWSawW%6 zzr_Jn-W|+=4T%b^1VN{w+zIG*=4r(vbK15Rro8p-rpA`p7z2P5vpiKU(&ntHxx&L# zWwS12EvKJqIqh!GCp|Bz7H?bj^;h^@F?8x+!-6MSW#h6l!?f-zGIQmKu|@8I(gaYQ zn2mc*4~sc6dpKHhtqW@tebKlAY(kn>pR=uHkjHwRTWrN^R&$bP?mRPijCOqUSCyl1 z8y0gAZ9owB+5a^!Ok`7(FxbTF23Ztm=xtyZW|go^!R65MHQ8v7p<0v}E19WV5G7i| zG#ywpHDvNkh4uKXzEbmyvGJlvK1y3u!21AIN&uD+NrWm-Z-B(*?psK%>a=sD4hf>V z=Cz}hg>ZZ?6Job@-y-$Mn$F%aQvqto=hu%-A#UL1q)3cXDf=K$2?hDyP;hVx_2_Hhc2+A&z*REHHWI2Ny_Uh;dnk6KEHQy(s<~XFm<$RzmDHm_3yG089TBWk zf|$yUXc8Bqs1dgP1ou{eTBfyY3M;_z*OR3T8VFnc=kl^e{oIvGwR$BT)&9anxc)*#JE-{ zu&5l#ZPKLkq{2Mv@T9778$?c-4Xsi$ev{}~j*c1wHY#pseCH>4RZc9abuYWOSUMT2 zJuGygnKF`P6pAs6BE(3E3JGNJD^#OPn}4&b;heunU~Cb~fK5k7Sjg9ljoK70DdZ122DOOmvxGvAVL> zTj$<|oLRqgHRVknIID?%bD@AS)0UX+cPfq6dAqfsU^=ebX7_DO-RFr0%o$?acn^2L zi%qm->rqbn8ZkM78*wB?@j*-?uKz#Hg+k8@>u@zX(Xu`kSsN}UP9Ql~+z#%o^f|@| z8eKukZjLOxLJ_+`1tcggg;#MTQqge`-Lwk=krs><_Bw~=CN<^Nz_ywgu##DVvl))a zEcqQYpj{*NxN-ViU32>r*u{pZq4-xSH#&~@Y)YcLFoi})k5WpCnO>e~eL48s>hJCN zPTvH%Ktj$<@d=D@ID5o3fg9OwLhwsfTVkdP8B|&QkTmT`$}KH>U7%=CD#YKHd*Bx$ zt6I>#y)X-Bag-WtiQYL(xuGpBa?2dlB&yG*&8y+G=obqrczjFy0ia+b5-{rZyPOVZ zSAG%d#`CvIRD(mOnCW10q0v++1um!*7FQ!h#6*IH{Jcc`<qN#v9KtfbUeI;Al(q z#8(+h>(HxMeI_NP4uUhLxL|JYoxBlDt9K;8*fwr53`F}1<-4{lLd5{bPS7e#w#FsR z0o>SxRLHC&1r&&af$7j{aI8*ruL2uD(ZEbAOZ7@YCRRjGaXuWNs8xu-G`LzRYDGjh z*E;TZQ;c2Sb%Q6A!QVt7^us?+DvyS*s zIs`03DI`tvHPEdEKyUwPaH2(RsfjVWyQv{_14BB%x{7QVSuCybx{@@*a9}N)nW3pB znxJWt=q;BL!Kx`6lBuOAtCm&OA?;ga#wfA0sS#Q8hZbV0kwWf?N!H!*WXmoa&g~1} z@%Z)BoT{K$&LrG0i6ZGVZ zEMZ`OE(mQl6@+)5zikw)Lg)$%C}5$6t4IpDiooe5GvbU7sX;_liua55mCA@4Mmhjs z-pH@o&K-0l1<3fMr^wC8xg%iORA4712Vs{Lg3MJBE{Z}3z)@m0!iu7X*c+^+agN0t za>Bb4apq^lvy1zf4=qYBfb=7UDecQ3yQ8L5IKiy~f?{gkY7EON3xTMkRd;cTFK=VA z2Kt8Z$aYvU98EXRJ+dv1Q~C_#_pbJx(Z7(oD`;7y*E4`N+VRTp%)v3@jk+Wo0a;`t zco^2bMA8EXuth9Yq1sUhR(HK97)2bVsGVzdU=$ckk?>&*k*Hk^H*_bPr0dR#za>=F zX}2H;y?0AC)8holDhPFjEImRxw zCjzfUH3qdo#Go=zL?MK!UM`AmiBpU}%2XfrRux#PQc=R|wh(T_6;c4)Uu55|(AnQ) zY6U@dX|EjOYVJ0zE{d(JS=@DS0tbu==m5Y7%<=ay2xwe`#n}@%=5=WywnkDqxLG42 z%uJR_baW!T9{ArQHys-aZ~}@2C7RAC>*H?Vuj9j7;<&2Gu&`ZZFok;t*#yX0Se~fO zg!yE!*h}7HC$9*T)=~<%hNDEJm`3xnO*j-?u&nM0z!tN0aa{;F$xcj~&dB|kW1Y-e) zk_~9?LwE(SbJ}rXr84BvP#|{uPW(VFEoh+(T^uYklm?OzrKZ-j)?=hAIbq81jle_O z60iY)^+~2gY|R+3XjmG61)an12jLnK?lr=MC$PE=Rh1#8K6PR4-d&>>oT?vER|828 zH7IS>!aC<-!KbyKGwqtBs!fy}_H;g2pqMK8*`Gt(J}Z_pBHv!k*o0j84In zp)!>|8&^|0&{AFNn;RIqcgW3CBF4&uInI1R!Jx>4|^UKTJ(f6%QCZ>r0tZ52@3lI_t=YkLTyOJrwgonOk FN2nCx;I04w literal 0 HcmV?d00001 diff --git a/inst/extdata/datapapers.csv b/inst/extdata/datapapers.csv new file mode 100644 index 0000000..d8e9d37 --- /dev/null +++ b/inst/extdata/datapapers.csv @@ -0,0 +1,10 @@ +paperid,doi,paper_url,url_source,journal,title,published_year,num_authors,first_author_name,first_author_affiliation,first_author_affiliation_country,data_repo_url,data_repo,license,related_paper_doi,abstract,query_term,retrieval_date +1,10.3390/data8060103,https://doi.org/10.3390/data8060103,mdpi.com,Data,"Physico-Chemical Quality and Physiological Profiles of Microbial Communities in Freshwater Systems of Mega Manila, Philippines",2023,6,Marie Christine M. Obusan,"Microbial Ecology of Terrestrial and Aquatic Systems Laboratory, Institute of Biology, College of Science, University of the Philippines Diliman, Quezon City 1101, Philippines",Philippines,NA,NA,https://creativecommons.org/licenses/by/4.0/,NA,"Studying the quality of freshwater systems and drinking water in highly urbanized megalopolises around the world remains a challenge. This article reports data on the quality of select freshwater systems in Mega Manila, Philippines. Water samples collected between 2020 and 2021 were analyzed for physico-chemical parameters and microbial community metabolic fingerprints, i.e., carbon substrate utilization patterns (CSUPs). The detection of arsenic, lead, cadmium, mercury, polyaromatic hydrocarbons (PAHs), and organochlorine pesticides (OCPs) was carried out using standard chromatography- and spectroscopy-based protocols. Physiological profiles were determined using the Biolog EcoPlate™ system. Eight samples were free of heavy metals, and none contained PAHs or OCPs. Fourteen samples had high microbial activity, as indicated by average well color development (AWCD) and community metabolic diversity (CMD) values. Community-level physiological profiling (CLPP) revealed that (1) samples clustered as groups according to shared CSUPs, and (2) microbial communities in non-drinking samples actively utilized all six substrate classes compared to drinking samples. The data reported here can provide a baseline or a comparator for prospective quality assessments of drinking water and freshwater sources in the region. Metabolic fingerprinting using CSUPs is a simple and cheap phenotypic analysis of microbial communities and their physiological activity in aquatic environments.",water quality,2026-07-23 +2,10.3390/data8090141,https://doi.org/10.3390/data8090141,mdpi.com,Data,Thailand Raw Water Quality Dataset Analysis and Evaluation,2023,6,Jaturapith Krohkaew,"Department of Big Data Management and Analytics, Rajamangala University of Technology Thanyaburi, Pathum Thani 12110, Thailand",Thailand,NA,NA,https://creativecommons.org/licenses/by/4.0/,NA,"Sustainable water quality data are important for understanding historical variability and trends in river regimes, as well as the impact of industrial waste on the health of aquatic ecosystems. Sustainable water management practices heavily depend on reliable and comprehensive data, prompting the need for accurate monitoring and assessment of water quality parameters. This research describes a reconstructed daily water quality dataset that complements rare historical observations for six station points along the Chao Phraya River in Thailand. Internet of Things technology and a Eureka water probe sensor is used to collect and reconstruct the water quality dataset for the period from June 2022–February 2023, with Turbidity, Optical Dissolved Oxygen, Dissolved Oxygen Saturation, Spatial Conductivity, Acidity/Basicity, Total Dissolved Solids, Salinity, Temperature, Chlorophyll, and Depth as the recorded parameters from six different stations. The presented dataset comprises a total of 211,322 data points, which are separated into six CSV files. The dataset is then evaluated using the Long Short-Term Memory (LSTM) algorithm with a Mean Squared Error (MSE) of 0.0012256, and Root Mean Squared Error (RMSE) of 0.0350080. The proposed dataset provides valuable insights for researchers studying river ecosystems, supporting informed decision-making and sustainable water management practices.",drinking water; water quality; water sanitation,2026-07-23 +3,10.46471/gigabyte.167,https://doi.org/10.46471/gigabyte.167,gigabytejournal.com,GigaByte,"Collection of entomological, demographic, water and sanitation, and climatic data of interest for arbovirus surveillance in Praia, Cabo Verde",2025,7,Lara Ferrero Gómez,Universidade Jean Piaget de Cabo Verde,Cabo Verde,NA,NA,https://creativecommons.org/licenses/by/4.0/,NA,"Vector-borne diseases, primarily those transmitted by mosquitoes, are a serious public health problem. Some, such as dengue, put half of the world’s population at risk. Combating these diseases requires multifaceted strategies, with vector surveillance and control playing key roles. Robust and predictive surveillance systems for vector-borne diseases, based on risk stratification, enable the implementation of appropriate interventions across time and space. Here, we present a collection of entomological, demographic, water and sanitation, and climatic data from Praia (Cabo Verde), a hotspot for mosquito-borne diseases. These data were collected from June to November 2022, at 40 sentinel points scattered across the urban area of Praia. They constitute a valuable source of information for developing predictive scenarios of arbovirus outbreak risk using statistical models applied to spatial and non-spatial indicators. These data demonstrate the utility of GBIF in transforming large volumes of occurrence data into valuable information for arbovirus surveillance and vector control.",drinking water; sanitation; water quality; water sanitation,2026-07-23 +4,10.1038/sdata.2018.108,https://doi.org/10.1038/sdata.2018.108,nature.com,Scientific Data,Freshwater macroinvertebrate samples from a water quality monitoring network in the Iberian Peninsula,2018,7,Nora Escribano,NA,NA,NA,NA,https://creativecommons.org/licenses/by/4.0,NA,"AbstractThis dataset gathers information about the macroinvertatebrate samples and environmental variables collected on rivers of the Ebro River Basin (NE Iberian Peninsula), the second largest catchment in the Iberian Peninsula. The collection is composed of 1,776 sampling events carried out between 2005 and 2015 at more than 400 sampling sites. This dataset is part of a monitoring network set up by the Ebro Hydrographic Confederation, the official body entrusted with the care of the basin, to fulfill the requirements of the European Water Framework Directive. Biological indices based on the freshwater macroinvertebrate communities were used to evaluate the ecological status of the water bodies within the basin. Samples were qualitatively screened for all occurring taxa. Then, all individuals from all taxa in a quantitative subsample of each sample were counted. Biological indices were calculated to estimate water quality at each sampling site. All samples are kept at the Museum of Zoology of the University of Navarra.",drinking water; water quality; water sanitation,2026-07-23 +5,10.1038/s41597-022-01439-7,https://doi.org/10.1038/s41597-022-01439-7,nature.com,Scientific Data,Greenhouse gas emissions from municipal wastewater treatment facilities in China from 2006 to 2019,2022,9,Dan Wang,NA,NA,NA,NA,https://creativecommons.org/licenses/by/4.0,NA,"AbstractWastewater treatment plants (WWTPs) alleviate water pollution but also induce resource consumption and environmental impacts especially greenhouse gas (GHG) emissions. Mitigating GHG emissions of WWTPs can contribute to achieving carbon neutrality in China. But there is still a lack of a high-resolution and time-series GHG emission inventories of WWTPs in China. In this study, we construct a firm-level emission inventory of WWTPs for CH4, N2O and CO2 emissions from different wastewater treatment processes, energy consumption and effluent discharge for the time-period from 2006 to 2019. We aim to develop a transparent, verifiable and comparable WWTP GHG emission inventory to support GHG mitigation of WWTPs in China.",drinking water; wastewater; water quality; water sanitation,2026-07-23 +6,10.1038/s41597-022-01686-8,https://doi.org/10.1038/s41597-022-01686-8,nature.com,Scientific Data,Bacteria communities and water quality parameters in riverine water and sediments near wastewater discharges,2022,6,Carolina Oliveira de Santana,NA,NA,NA,NA,https://creativecommons.org/licenses/by/4.0,NA,"AbstractWastewater treatment plant (WWTP) discharges alter water quality and microbial communities by introducing human-associated bacteria in the environment and by altering microbial communities. To fully understand this impact, it is crucial to study whether WWTP discharges affect water and sediments microbial communities in comparable ways and whether such effects depend on specific environmental variables. Here, we present a dataset investigating the impact of a WWTP on water quality and bacterial communities by comparing samples collected directly from the WWTP outflow to surface waters and sediments at two sites above and two sites below it over a period of five months. When possible, we measured five physicochemical variables (e.g., temperature, turbidity, conductivity, dissolved oxygen, and salinity), four bioindicators (e.g., Escherichia coli, total coliforms, Enterococcus sp., and endotoxins), and two molecular indicators (e.g., intI1’s relative abundance, and 16S rRNA gene profiling). Preliminary results suggest that bioindicators correlate with environmental variables and that bacterial communities present in the water tables, sediments, and treated water differ greatly in composition and structure.",drinking water; wastewater; water quality; water sanitation,2026-07-23 +7,10.1038/s41597-022-01749-w,https://doi.org/10.1038/s41597-022-01749-w,nature.com,Scientific Data,"Freshwater microbial metagenomes sampled across different water body characteristics, space and time in Israel",2022,13,Ashraf Al-Ashhab,NA,NA,NA,NA,https://creativecommons.org/licenses/by/4.0,NA,"AbstractFreshwater bodies are critical components of terrestrial ecosystems. The microbial communities of freshwater ecosystems are intimately linked water quality. These microbes interact with, utilize and recycle inorganic elements and organic matter. Here, we present three metagenomic sequence datasets (total of 182.9 Gbp) from different freshwater environments in Israel. The first dataset is from diverse freshwater bodies intended for different usages – a nature reserve, irrigation and aquaculture facilities, a tertiary wastewater treatment plant and a desert rainfall reservoir. The second represents a two-year time-series, collected during 2013–2014 at roughly monthly intervals, from a water reservoir connected to an aquaculture facility. The third is from several time-points during the winter and spring of 2015 in Lake Kinneret, including a bloom of the cyanobacterium Microcystis sp. These datasets are accompanied by physical, chemical, and biological measurements at each sampling point. We expect that these metagenomes will facilitate a wide range of comparative studies that seek to illuminate new aspects of freshwater microbial ecosystems and inform future water quality management approaches.",drinking water; water quality; water sanitation,2026-07-23 +8,10.1038/s41597-025-04537-4,https://doi.org/10.1038/s41597-025-04537-4,nature.com,Scientific Data,The Water Health Open Knowledge Graph,2025,3,Anna Sofia Lippolis,NA,NA,NA,NA,https://creativecommons.org/licenses/by/4.0,NA,"Abstract + Global sustainability challenges have recently led to an increasing interest in the management of water and health resources. Thus, the availability of effective, meaningful and open data is crucial to address those issues in the broader context of the Sustainable Development Goals of clean water and sanitation as targeted by the United Nations. In this paper, we present the Water Health Open Knowledge Graph (WHOW-KG) along with its design methodology and analysis on impact. Developed in the context of the EU-funded WHOW (Water Health Open Knowledge) project, the WHOW-KG is a semantic knowledge graph that models data on water consumption, pollution, extreme weather events, infectious disease rates and drug distribution. Indeed, it aims at supporting a wide range of applications: from knowledge discovery to decision-making, making it a valuable resource for researchers, policymakers, and practitioners in the water and health domains. The WHOW-KG consists of a network of five ontologies and related linked open data, modelled according to those ontologies. As a fully distributed system, it is sustainable over time, can handle large datasets, and allows data providers full control, establishing it as a vital European asset in the fields of water consumption and pollution.",drinking water; water quality; water sanitation,2026-07-23 diff --git a/inst/extdata/datapapers.xlsx b/inst/extdata/datapapers.xlsx new file mode 100644 index 0000000000000000000000000000000000000000..9c5e84baa855580bef656c5c9082d558bf4124f3 GIT binary patch literal 12019 zcmaL71y~$Q*EKpw2pV)CxDzzEyF0-%xDIZ?-QC?KxC9CAZoxe`1b278ocFx#3PuYo_FcJ!bB zI+w+c$aOOydY|x!Za(Z=Nx)|3HxuP8qfjI3qTPsFZcxIFxALxegYqpG^!j_Qcg7Oy zn_X~bu!82orha~wl0OWeTdBoaIY^ozElU2ShSOUa2qiwJvdB(AwG}&e#aA+Hqad6V z>m?Lkuo0q9oT(Mbf<_^Ahpm2T2xErL4!-kVONN+PhAg>O6`osklfUY`V6`z#T{*2z z9t+Xpnt*bVJEUDqKyKvA<3r9hgQxq1q&jT=94WDag^dKtU|G<#w)fOb=ZMJ{F(Eqz zXRU@y3ms^bo1~msGe_Oh>D{7WKWo~2gPuW_|CdQ1D1;2mAOHZ@cK`tTt4TD3t*z|A zR`xo|E;e90tq;DL3#m=KVlHu@pA+Rw zm*RQl_N)e>(uT-+U75LjqdYN4iE`bv(f%Hp>6ZG2 zD1wI&@R)?%x$ZEoRT9p6;ElrHB4C0R?FEILC+a+gqPgzyG5!a19PiO z#|EEjb_TCkIUnEs+ciIVfp=xEF2Q?s56Ww6Xl)>GYi(mkuV-WPmtQi*7!h9m61dim zR%Kq|7n}zaT!wz{fIOfAb)@wxWAfRJ)R&8!fSzZ`cvg6|_`PAIe{H5LO&NeUAb3_i z>&wG{A`NCxr-Q%z0V=2h*KIhSNE%x8ok01OELmB&o|oUsS&boWe*O|Sm2n%6+2XFA z^z#Z-Xv)`_t_~t^h%Pb@fhWwb$ah#sn>sINTPy|Ztd4PtSgmnYm7F43A;rL2Tps)1 zk7DL+-Kn4ceQS6Kddax2w?+H7TQjh>1^*}JVsyTA6JhkWOLen6%K|D-jkeom5AO*F?0k_ZDuG2K! z9f_mB5RcCI2YE^#-w!p@vK+SSjC;@c#hd>26>azsQi>+oP<}p`YJ%;pux$ulAHoMW zd7yb4@7u=i%`SUI-g#)QE=8;|qrOR%Rqv&&6y!+u42w#xfkLEuLo!-zxy^rs?M_l|haV0kqzrf?!J;uj|cWW!5lH5Nk1x=fe zGO;q5RZk!ds;RXNv5a~z%2ZatPY$XQ{TA*qt`gR&hiUh{JDIr1fNw-F75)%oS0sm2 zaX^N3F#dZ)?E)*C`h{)Y^n)dYb$_T2y zYizL<&877>#wn}RqGW#!v-sB-`}DVQY-~+m$2VIgu)V#hm9ZWDn?B=beN(HWua;Kb zM2JuAN;c4Z!{U)s~5sh9d{yGr1Ys6yI?wlKSznFRp+b0$LLH!!qb=LD}IFlK$?q2qCq$ zR4wWLnrEtl91Bc_Vn+Di2F{u;k})NwxqC-yQoRx{j>S}D|W``tdYlrN|+QgS?@s6>g(PYFz)3Kt-iw^k${Nvqx z6nOKe#QsQrb%)oHD|HF`han-tHs+)PrWn^?jScR-spoA(r{;V0BE21i%Fujnto8gX z04U#!bel^#lH0sdzmNrr-s@MFnJYm?V-vpc zIC&jE9#>>t$dt+KmC>~ECx`dFAH)cewq$&H{s)W+|8`$u3V;Hiww_y}vR>-jXp;yglUA6mlzXg!#~d8=2PR8X_$)IWo~iht4A zeqphHs6952nzhfgcwowNGtk^5Gprr;5-N_+x;mLqR`sN+^?PbqsC2Kec4AAr0>j~1 za(1RG!Lwq=xb9NLeM2eR?&8XNZ+_TF^((_quidRL`gB{a{ACAHUeqI#M`aV&5v`e{ z7W(k*Su9d)#^mC> zG+gUihLE-gp&B4apH#>2;PS^DNu{`2)YKy&Y5E|>mAkBUWh|vBF7s2%VCv4Dt`rXd zy<@gzH*VF;88k_7myp?{__bUUd3p$PQPlx_yRL-#{`J??jJD60!TP8S!vas5pb*l8 zLj^jSmy&(#=ad6|09@LtR`%%ak|9&3d#gy>^<5t{x=1#>u|IID95$QkzLGz)JnD=1 z#zrgVqqM5W1C8$@`%wGv4{Q1#Tw0`>g9%1 z^83Q2aUmt~ewv9(W0GT0F)5f5#3DgqZOIy-}Klu*r8c zExB*JItZ#=Vh8X$Pg-5?R4ab6Y}z|J-d%8eiC|+V=(me_1`*ls$?C=V3`S?!G_uq? z@O6}f6{qgA{a81%!rW+oo9=Zbf-aZiu%1nb-Ukuyb&-b+CtQw`yAM&Y1w?;X&D1k4 zTDT~+G33$wT5`?e9j%%`HBG6};8IMSn_aq>#9_4OzMgonrtH?zNUOC)Z9bf;3L4u%5--d=a@s*DS6cdHbL?{a4L?)Y$@0H8&w9#^)|Vch>BFxm|zY~EGcRVSinXjT#k3do5xK+63J+S z!GB;Isi+-pH#g?1NjZByUr1=2a`L!E?4T@};aEbAAL#Y<`l4D%MhbE9xLqADqw*Mo z?TvP=aNOh~x!lIge*NhA!f}ho*XTb(5kjLBQ>o;cefQ&|2FmZXfr$^fk=c;3cy*w0 z3zA7jXedTQD;PcJheqQK$%0m__rpn5q}MCjlnY$T{JIbX8uHa4pPl!BrRcYU&4VUY z(Y28XXg7Y%UH2yb9P$VRRn>)jWIrwSuuqoW0|%nEs#rQFhu0iQ0mC1Xwn;kGMLk1x z1Klo|1h*J^$>WXTzm_FAe~s?d;Ow))J^-ZFEls)@`0yk}#*AUmXfz3ZW+Q1Kbh>T( zDgnzLsox|jbmh#$nXx1&RQtk3h>3%OjNLjri@K1u8MGJ2p5Qw9D>*7-D))M9-D_F} ziKBW(=t;S$H-T;TA>Rsy4HVKZ-Nl$R#XtmsyJ!@PF_^9qm-2R;62c=_2+40Z$rf*E?Q17ryFTRm3J3 zcI7bSbIXIba~%B-3SA(D5mLvTx(zaC+Sbt-AZhn|u=p~DQ4*-9CwPAxT-D*?uDC$8 z2BAX|EeKg_$XLAXVoe+k(m69hB!QZxVfG?%a#x3$Y&ywn33wd3;9gGtRjXH5w!v*;Nh0ry5-EwTb} zfyuelNfmLzl8XXCMtiLGH)y-0AB5)6uzB{Myq?eMcZ}43H)&p6wE8p^xOoYzn<>HV zS!eTyZlqkTfN9d#k9Mw>hz?et#kAo0{17PBtq)P4XFmbYv-6hJv_%E z=hVb%Y-~!X#vFt`U6$C>o=E>J7^^IdVb8g478xpw-`4baisPcl7G$X!#zP4QYld=9 zpKVisxC4fhC2VWs;a_*@&pmUtwY7Z_jGl7aDajaXKWVi&d3Js@SqgqP6M7;^Uhq+S zlHtr1gLatN&xz$&BITjL9ll{kZv?1` zW7Voj_5!uHq3jwtB6zM4S&mRHa>uc}@L({U0-0ci?RwQVe>*@z=6Ix3^G|Ex0WW86 zwKsp|oG+8+ilH79B@^;H%W5|>faIb40$5#lYp@i^ zhpx8DjbcoUC*)1Zn_o8%$|e>v(fqO8h1ko%jI%_VJ~RsI3mr)X2s6&W-}zeI1(L_0 zQGEsb;#Zvh*hItuhQFU9H4fY2Kju}WM}(Spz;(`(YBn#7E&BBAOWjb*XNzmLM%`}T zIg3Lxj}|NfAPke$L*_Cn8X`p5UTH`eDC9u33xPmdvmee2C^h;`Cdr5TJ21dH9u}Hv z_#>SXKtPVVxjbQ$#V2!Gs}wH47!Wodlv87bpDob5s{!B;Xb8ISK{q3MCo_WKru|N| zK3!InBvDQ7STW9pnzfpE?VK?tL}uXU9iGdFuU1lF3)K25^f#pz!V_9N9(S7X#;(*S z9V5(IzJzLxrK3>DN6ENJc{<&`v2vF}$J<-&fJ7b(`+{9=Cp0SVwC3uf5be%fgR!(o zxxP5@+sEBHy^A_&V64V5{^tNZEN6MQ8!}g3|8zNB1ph?%5cZKg;?SPzOI6I(AJOuB z0M81X<1O;XQ6_4iV_Ke{&J}Sjf>;6>(w)$r7v+uD6$sXoz zSs^a*i7|`n6Ljw;E(~E_&I3!yDPGr0c@0-<+drRwFSo&Y?kE|eWH%T3?H@37AR zqPMy;d)06raUtO4V`#}-o?`EX7M2m-v7P$F`fotTb#@0KcL7b1jL22YvwV*w9?qU5 z7QP&#$18}SMEqRbb6%o@Q0!%yv9I7FRwFHH9J;-gX*CR-klK95dHFFLbTT4imdX^3 z%z5dCF0?(JZ!T6JTWXFY#78KR{9Oe53)LKikCUo#QDzlrPV#v?HonR!qG70p7Da1J z?Q8%wYfTakGFKu7p$b7;xZSd72dBDyC&^=7!BqGYrNkwIQ--zo|No6HIR3HOzu&T6Z#Pi!9!`=syg=Wk$% zBcHTOOCYFoc}?bJZNZVkYtHa_#pKqc*c#Zs@W+O$@#S_6rEw4?eZRH8JLm;e+PG|s zHGK?O+yLS463~}&<71cuX=)py#fGSjVlBE0yc9Sd_9tP(8`V{2oZo=`0EEi&YB3hh zC|4SOnNNQDHp?14FqMGJ@A=qagrkv3vzUVJYOh8|#PP1Yvmrx14K9Yr$X5p4JT^?^ z3D=o`QUNyU=z}hDi&-1hb$1vRmUzbLM7Ou{PPS|37v9>A+s))jlNkF!xs(i{IR=L? zzm0^sI$9Z|V#7)x@xG6EK(q)+@)E3|EGYxoR|xRDEbh7X*`Ux*R=eZS0yLIsf` z-((Bd_Xl;ZlHrvxJ~7m}xv+Yab;AZ@hkd>WR-9d<^I@uC9Z36UHBWLs_S1~;ubTGgxhr5mk-HU*?MeFY?-GSQOw-XFI;Nl*UHu@F znTDP~KCj%MG(Sm)j~6@i z??3iW2#}nyW`&XMb1f%#r?uMR(xC?kbVh~>s|Q|^HYt|ZsSmw9a#e*RH4q4GNStXN zJor}rbXL^Gs5eOD0SK4k$W7`L3F#jpF@J6t>G?IKf{(cXN|M^2Eq3eu`;?Cs0(^Z~ ze^Ym8-z-ntV4Dn7a!txshmb1C@G3|sBShj>p816KX#|UJ#`@Wm3?L2IeM>LOpx7U* z5@t?~lE=DC6I7YamttFxF$e7Lww$7Gb?;&`aYv)ptcpz)MlMM1epbYv%JiP zFmy4M{34o`VXCB-fl}Jo<67z?wt64r7$c>vYaA4FTu-w^x z8oH(^=OTseifsq%R?B?DR=vgLk(q|G*3OH8+H?HTYUKWM5!Fuo3wm8uG*=)N5J|Q@ z#iRgH4EcF0rQE^@0s6tan|@Y@l9tRIo*A2JR?H2dY!|yY;b&4cxIu;NP6|Dr8XaoZ z>R0>n?yQZUCuKRgSnha3koh04!bt(US{X#?JPbU28c8D-cIUNg0HTX1C?>$9@}Q~n zd$MGLDUF>qM|?^z8fA^idI~fbcxUcstTpGO00}CNM}9^4{eb?)Bm)giY-u7DMOi_L zor~}?nR)aOYH{b$uO3%OeqC_W;f-|9a2|h(#J%F&cpG8}U{Oc*Gs;i5g%~A9I}`MH z*%isp6andX!y)}BJVF{(QBJd^eYp)aHR!)_jHZK#p2; z?W6Oa(X86YO|eJN!JA@3lke8iF&!)>P(YBc}pee9e!lv+8#=)K)QDK z5>lgI?KrAcw$C;V9H^GIv6mrDW+y}=@c`yZ;^oH~@o3|yT^xH&D(9bLKnT?J*x#T- zRMf&=5{@TSjmJ>@$nB`F`<(3`Y6`;b+Iz}ms8!fa7zAfmmVUE|NLBL;OWj%vh3}Pj z<)pK&aYdWr`f2|hV>s>gXd-ZuKC_BQ7*MgS>XSaF8g{oq3)c|$EF5}vvx?)oJ4i)A z!d+7eZgBXBV)CFN+Y7HEofje$>UA<}Xjw*zoJUsM^Po0Q;BshqESkLz7}F zJfoownzIrcx0Ycd%;r_oPLwsW<#k3kTfz2+9#`Ej5dW@nYQ|%F-@I0sfv?+VNdK*J z+PheQ|5M(~j~}sGBEksJc~?26s}Wa(JwKWgn{QDiN$n8E=q!I%>5V<_ajzY2+^0&N zpXv&Q*RZ-})44TN1mv>Y$!7(QI$?_~F)T_>eZB1$zc@uAB`n%2stWw-yiU+QosS&1 zej+{!1?hbT+O-Hv0?el_!D=rb zlYP&O!1qR10)7_xv3jX$A59&dk0KmuRDMn{t||rgJq`d(?32i<@2R2^ht;e_=OB_m z#AF*;^$#+caA0<{=o8YdC^8zh6>+CereE;*hd?}x(lnyPAvql7RQ#wDPSl|vywLkcePxAGZN*4 zDP!Zez2fMS8$*op6g8NMrpYx!Ix#EM+gR(Z;* zbCs-E=rmsyxPBHpFL#U87NIsrNBWiq_J62thrA0 z_rhv~Sh$eI#9MnEw1ad}(PD$r;E;7C+m~05&1$vNzMLwEvlMJP4WnP7ipk|U+)p^D zcu#$QMx&Cou_QM{#0g@uPeLP5L+e{Qa^Qkuhe_lh^GS|OC;S0KpiD8Q&bZ)*y;I)L zvVD}Q;pz|Z9$F;&WC^cwy5+$RRUDCOBT3*Lg=eS{+Ryn^hTkPQl z2xVu1WCbN-D@&0Dy(rnOu?P{X*1~B!!=s^8&6RbC&z>tou3%Z+{9OQ%K!3BFjWye0 zB+Uqt{I|vm&&f0H%n){}dp8o}jk7s^W|4ahcxz<-L&TP_OrIM>c(2v4vtC0c29Za) zUR`AV2OG9inaA&W!5q@ZH_%nGv@Ps7pAh2k}AncOZI*=O8g9yo>0o^t* z*{ol%+J9G8>MIJ7E999FlR$xfhLAyJCX(`^g_x`|ky?rPXn=pfl)#9Z4De2la3CU> z*c9tt2id+r4H59V$%g&z97(z;8vE`P-dVzV`AQa@b8%~OqfeTwvvQ047w(b zqKsQ&7X01n!WPv8`YX_0Q21(yZOgwp=3w&~fkK1tQa%?eVpbB`8YDjhe-h1|uZLRe zqtmiB*L%17pva!)H)M&R6tX?2p|P%c{csyLCYlvmEJfXJ9PDcljm8@c$_n2%#tQTT zeXRYYP*;_hs3a2LlF07XYUWRwS%CuSvQe7)UKnz18BO0^*^14*tO{5)dvOSRbZ5l&vwHoI zsecl7Y_sy=js1C0kAD9JwaLivtOJ#&xX5Ol2C>5sQZ8v; zZrW7oXlBteBUD#%sP&+(>Gu&K;n3PtwgpP&)fWmLql?t=%zz26+T{a~IFWU0GF-moZK2XJ;y3xhVPFalPx4&MlM396~=;H!=h<~km;ipwq*Wf()S!8 zHl4DS7_yyOQr^`e-wU(Mnxq=PI+l$ELdPhk9nm^GgW$!gE&JLWpSmwN%o_e6b873{ zEmF19+7<}=ZW_gJ0~jlDt}}qu@H_34e51A9X`fXO)~Vto??TjgQ7h1FDYPsz39R9lNC+W@AZ-USs@C86FI-N)N~#vkSFUJ8 zYwH8AsC%U!wZ`8M?x>l5G@SS*p*&N1ZeN%$G1S+TnA;3%JRmkqlXQ{BnB9_mtvuq5=6rwjt?rqp^N`66jH{H3ZWfG-t_^ zy_MVA-rlqRVUPX{&Ss=`5Wm-}j!dS+>yvy`Gm!V?jl_j&G#uCSHAmM$0RYH<=ji{v zIi4Rk@+xmZ^wuFC^dQ?4t0jg{GR3KvG}ypXOcG;}On|1e=C3b}4?)mZ^g85tw)k{y zzmgn!*!lj*LaaAf2~xFDb5T~TJ<%F@EZ(2e@-vMwajrP5Jzp9@`f7Q`BAR_YaV|Lg z%D?iv6a!PZCK4uHz=fEY@>5{Ig5R((9Exl&+NhFIUfrcg@~y_la>^RtuZ4~<7CeGH z%1rv_+0zcYree#!%#+qmSAMnyVm<0#xd^x^$;D(baSvKFzk=*Z`|{3i^KRiIv+|<+ z3x3Fp(VY0wtiw*UOX|$fbD*z}p|U*7O`;QYY1gxJe4pf2+e=CKz|i?3i|*b*?ljqF ztS%IU`FKi}gxZ7PHE2To0}ww_P`0JfO^k@Ek-$P@Y3KBda@(#Y8abn3(uMXLB7rE= z@$8DA^cU^*%4{R?`dvZFBGv=bX(Q=)^!^_sXQb^m0^HTymn1r zOBx8oH4J4WSWOKG=w_LmsMT)FxRt{S8ddK2p|)izuVBu9o1-*)bV<)uTKaX%+FO&N z5t?SZ*PS?&ht@O-vk`5LEm{|WdwsdAsv8Pq2Yo(Xpfh>F4VQkX>Q*005-21q-1ib4 z30+KIT+}Jwx@_fQZH}CIqno*3zYFSs1^_I90KmupkA42JOn$PZ(mD@D;EPn@>a5V} z0e~BU@_R=PAAOcE+<2uWmnp`q&P(2R+0ps_@CIfsyRM8S$x#PIDc4n<&?VP`mQm1r zeKQvRVh(taO|9`@(d)(GiLS0pJ=#{-R&}!NDeU+4jo?YgtwC#{GRW3l?dGTzWhQ@P zdM^_*uT2+7mtO^LArfM{8!e`h8`$P3`h{OV1()G#nD1fRu$gtHyJ(p>$tax#uO1o) zSICKKdv(S4W8bMhX{7LxEgf%DZgn=7?wh-!dVBdxnodl9`iuq5XGPT(x}zH{3OUGY zwY)4fkl^ix(v>XES6jOS+OeLB4IIlK67r#x#6W-^VYxtHDn#d^$ZozhD z6{UaQF+pz`arB_|2G+CLOJ~}C8~dP?dUP$+1U)jK8J8LfdbX}ZeK4x)+fgnPi585i z_Ulcg4S4ewI;jVA)9TI70b*(>*Bj(zB%7?xdWZ|g2=2; zk*ouq?}E&%e$n!-I%KWJPp9}~P80Qe(U*DxP?1 z2$q5kukZeqtrtPUrY7{kZP;MS3#ozlf`3POcV;Z;mfZ6<$^ zP*6iOh)B@v>N#x+h2+=J5Cv)Oitoz=_>~8pUg_JD))(V8J-R)2&6FS(w51oP(1T6f z?%iQ`C9rs*?GIB-+$a`0FhkJCWEPpnVcJY`*#$((>jgye8E!BvfuDKNEoZFXm7c}G zknl~eaMnB})>R-0JmB5myBA%GysJBaTQ?V1HXK5VaW zKg^CY_#JA^A{)5y)1>PCddMevqZ7!fMx;?<>^d@GOF&7wUJ*S^2q{rcZ@4h}z_FeIL9kuqeY=#si&XsjW_WJqo)5IXiERwSZ|0d~O8$_?Q%WGd~zWE6faQuKjc zyx4EjOwYF=Ea6vo@@B7=AnmUVF|;6ovzVAq=`o6J3inDF_GVO{lr5G2??0%7%iph` zd=NEBbE@1s!^!evGF6~h0K_-y<i!OhO$Go-O5vh z=KXDllw^q#PZ|bdzW9(3!*i&7ynXxLibD=a3kPb#PfRKJW|>F^O_YPAhDqS@50^Jq3=IO z-fLR_myGu<@U6V{Zx{fO2Z8hE6*Dh+}r+tRB>-f-wM3`A+>n_ zf0lc_Wq4aW`G-Lf?{9|xDW$xHzFk%S1GOjk5A^LC`z^uSN#Q>P*RKq^Ae7sYEl)zkdd`+oq$8Utkj literal 0 HcmV?d00001 diff --git a/man/figures/README-unnamed-chunk-10-1.png b/man/figures/README-unnamed-chunk-12-1.png similarity index 100% rename from man/figures/README-unnamed-chunk-10-1.png rename to man/figures/README-unnamed-chunk-12-1.png diff --git a/man/figures/README-unnamed-chunk-11-1.png b/man/figures/README-unnamed-chunk-13-1.png similarity index 100% rename from man/figures/README-unnamed-chunk-11-1.png rename to man/figures/README-unnamed-chunk-13-1.png diff --git a/man/figures/README-unnamed-chunk-6-1.png b/man/figures/README-unnamed-chunk-6-1.png deleted file mode 100644 index d44e6cf233929f56fc05aca8845b50ab5488b7b7..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 21777 zcmeIacT|&4*ESlOG!aw~MJYCVQIIYWMMXe*6EH*+q=R$`gsP$8Xl5;|x2J&(jw);ZrF@4LSDto8h%%eBqSeb1gf*S>a{`?;>R8VeH_69fWb zQNMXj9|ECHhd`*t7!Cjl;^pWi2!!^KovNy?gQ}XUi=&I1!9&aY)@s(y)^2w9_0_II zAadd1Mljn`M(oN-)ukfmIz#%ivZ4;{NXL{p>i0ax%)#?2|sHOH?fsz{rzmMYU}V5ywX#P4D?U~`Kl8iqvzfSNY~Rjg+P+;w zkIjvK5?bGZR2tgvd?n2ET)3LGdv>Wi@6)2K(b>9#{yw((p52TO9-i&Ls4k%%6|#2f zO!UNs6Q|$vMG3SSSiQ9BQP4Of-5Phs-D;(}r{9O_tbUqoSY6nR_mwX@Hdb%O%DP%K z(q!3wbp7aZ_!c|pY@vX3HVLb}VVqVw;6Ced&W6ig%;PJjKgF$U_Y-`2uoylqYj$vl z-k&CbfHkg^CS3Y%%!I6QG5@T#qNHu5oGE7HXj%IHovF0(1~qRx1X=y4mcizL`PKxv zO(n{qjU2_xA22>Lq5QMcJ=kdp9)m2WMdE!)ycsx(c^77YI!k~h_xGy_irn~0{_q(LbuJY+& z$cfRg2EDoEez)0@_Cvp3+NG40C*of;w@r-SV?s#^A3HetF

QGgEu2C+kpoyzL~U z*jG~SlZ*P!HYe66)7m}lfZUdVBH64$o^`B%rhC)2T_(_GynYc6a***V=x#j*qI{*kd>)YxN zw6q|?;NJ`os!%%!E%+A|_`?PM>|qJ@9|?7OI?bPdQ;qHY=Mgw|7y^Mp)URDJd_*;m zV@~F_M(!?;^4GR4Or_qvcQ29cbj!_y=|Sw}=k=PHV>Cn!bv54EeKZsek`at~cK)_d zA#EXB5Puo9j4{{2obcNjRQ8j{u4MAFYp9A}T_F3C0vaNBr{#P}-;?EQrKZ0x_@xet z47pGJ{=QOYGnFuUS;{8sZQ-kzk0I0ye1ZS`1r4V~pl#(v4^YvvK_UP8O8^S__Vi!> zz4sek11jq7M7PollwVNmR#1K)l*q&uI1rQc}9{hv3EQ7uWo_!pgr9a9{FTSmrwPImm$wJC$ zI>kkt00US#=Jlv-sa5EPm{$ZB-lfzH;~)AXK(~B3ak|ty)^Po6tbWC8}#Bf0Rwj z_Dli_;TnA*ba-EMgpCiP1$iyHzazB2nArlqRNm9r-+~}oS_bG*=s9MJWR03OeYx<> z5z510AAQWa~UQ%QrbPoExeu(vM}jTO>L9;x?D!Y9XXkY@V?Oo&d7 zTb>3z7>vD>larmZM#5KfY>B?Rd+Bq2E~G4KI%z-iDY7eyMq zJm2i!*wMaW#9A4peFllcL3T86rT11$M4q%{p5W=eaN_CN{WFzu1`0`J5=l6-FL}(! z7WlO7!YRszbASyuyxqo5k=z2-cI)ZSKgS(Hoy))$nDt2`iz2ZEc4H}dP>o`u*TEnT zW6A6L5{9FE5SD05ISOnDgF(5)Q9=~S8(`^g4mMM)SpP7v;wQ1UD3VXWW}B^!N9>`> zKdX540t^x^uzImCVdDpffxr17#jFj%AOp+u1{BE!u*(0a1_}xKk81vHNB?D3bLnaL z&HHN$xZ3&Z>C{s1dIGFvZmB5 z@>5pIdBT~bKcJe~+1{MrAfPHO>JjD4(8U^pxbJ-VpySe5leTMbhPpTeR&F2Lk)|@* zsX!2|ov*+;etCJqYs6>T6KQ!--I-ml|kppx1D9CKDXN+_&Ai>R~w6P?|Mus3Zu_K zQsi9Ui8Q~DRK^sEO4P4LamzjYn2Nv)apu5WTR3Fgr*0`u#u(gD%{kB`z|Fv3aDb-U zy;HvR5Vyhvzx+bg_=~2TwCvOX4nN^n%8!=rDuwBlTFc7H)><23#_WyLV>mNX*Rry* zZaKNz8CQERjyUt8H=G3XCQxxTLPX(q*(k z9D-(L6p3m2vcWyyt}YaHTdnwNK&oY42}@3v0L2Q$Te= zNOut8(Hg-mCzJ>AwNq~VAX)XjkU`du-;?brc?+yYx_DoWS^??I8~fhj z6%;1XL}=)k?aRi_4VB{R)oADsm7R31YAQ^Scc1!E=d&_=9sxVlcQ)bXU&jQVo<%j& z{|Plrlz1avJ#nOV?N=BM$;AXkaw&Qhh{0<5JrYJ#&h|%+OZ@Q{flx9>4&nTxt}LF; zyGyg71c@da-H@(7lS0XyU#~$h+b43VC?oCwZ&9UxD|Fw*ym|(l&Y721!TS<66X5WQ z*!w61_S~McWjLEaA+eu1_#ojTEgpZK1)+WpJSqRDoBR}sD;)!LT;n1)<>6<5n|yvD zijgAu&+AZh@gME{|H^j4pHD=+zIA|wE9Q078|h1zZjUw~3r$ddpVzdsv^teF349&l zSBU7E4o##ld0}3T{?IAgJ;L7m;EcQ;=<{MDS!ynOheodjxRT~=mi zV<|o!dD|&&z!mW1%5f^11O2`Rgb(egGBFS)o-0{U5{BT)9ZamO9pv?!rkg_OoyZHg z@;i>WxJhr4Xko~ui|lW5IsvDyu-X1sYUE{IxS5%mBX~=%v5!IjJXdhd5JsLG ziYC32d>t@?DFA?5d-P=;2pv*ax*wqLXXllPtw-b*mk@IxmmE$eAYPOhXBD%&&2Kg` zNr6r0Hu#t|`q$%8yTfRwEXD6>l^aubNdu(#?2Wu44WFTa5MqaB3XZAhX8_Ezqm}rR ztBCE`6AI3V0dhOve4B#0j{#yFJ#b!;BC!QYSp;{PS9(d~nH04yMVKC0s(*n>ys&(o`{1v!n>RpaE4@DKN%*j;Aa zKNaaV4E>@ITw_2ZEMS{RN?G*FP8k-f9KI(z>Q`E5R{l+Sy-f#$DR;mPXBC>3 zewpe>vT2VKbCBhQQw+K$8>&U!9S`>(dhq>?Wv$n|efH`%5!8?SkxCD|hh0NqNFv(n z=Mzp$J$ZzXWm@&{t=R42kK&D6ZnFN%zgoON6yUY8@)tAT{F|AJe>`|Z=t9aRyC@=_ zNVr$GJ?~P;a`^X^xbsNc+JW8*A5wfF1mvnz(Mc5|es@DJ?iT8V{AUi4Cm$FDou*?s8!nFt?G zOiIF9d*VC?tABFI+4l=#KipTVT_$e5dwQqx;3>I>>8UL_LnUa{LPNWdeA6I(3*9|$ zqm!o0?JT11^TD&d;lqcX6!wMT>OKqxgEx*a6T2Lj2$27dZ_aUM@@4)Ufq5+7+SN0t zb#a|Bz>jfrDI|Q;M4~@LgUld7R>#TMKHT!!msk=vZ{rhdy=Y%(^D%#XZZ@VXV8`8; zh&F*0lg2_=F?QK05AaS2lGZQ8;0?naHExp{Cnc?(ZF0tO{*_g!35CLZq3Grdz9h%J zNN?66|HJ)O%ymxK#KhG11OvaVD8$*RuC!65YeMHKxSavjqUp{x$WGj$>yw{OzP}i- zyNRAHrQ?F5PH@_ou6zd2IMRXj@PB{>g3EBc=fdynkygJyGeM|Rjy&TIO!b*cr~tI# z5OekBLTy;2HvU2s73DV!F$~vsn05qI)}JeFEj2sGwekiGH>_q#l>2f|y*{fp7evof zygc3-Z`E$HzW^%QZ_L*Yq=TQs7zShQAoI2Kq4 zs~y;8i7?PraGUr##-~it3ZJeqpBDtNyG^e3t{|Y_WX^7_bXB?_3Fet0>y$`85K15P zgK8#O-hHl_cc&PMH%Kdas~TF-{;d7?yxiJf(aLEy5eTl@J-dEqgW%PtB|8M7?XxBK z+4pq}q3)snkV>Nf66hyoos*TeSNnRZFH-mdB#4Rn0|FY`8cfIR2u@IiGfsi?rHstZ z17qTg)JMOba~x~2{Y#7A{f}NZ?(SAfSM-`I)|99(YmV7s$faSVp&;T_+I#frsCrUj zd3kwkM;3^wtwW{Q{!*$wSez|5!kW{QihsSR5%cFmP!JOz$IxJUd+&iXdM@JU_x%(n z-z$|prGV&qSSfw-SrvU*GE+0(!vUr}V7BBWsKdEDO`+ zPb&RCZz!8ETP^)+n?PDwb0{mPRPQu=8*kz@9xjXN&ou~ZUjO^4G2p4I1*M(Bn`h6# zo;Ln`dh%UdliXhqdqMqyrn}r>(Cg7b1CR$7UDN2iSLC-}3t)rtT?6K`x0hHD&F`6F z#e)tm-|>^9w%N&UFSL?mIyP2kk47nlP$(FitpuAQ1i7<5trh>1sL`n&%|8V4JGWS~ zcR$iA-v$0`kBO7yS6KeqAxY{F0dy(=RuqA~%%e@<<-qnkfs0v8rP*kQ@ANv?69*(s zr5OGi6G8ofT33m%GMk;|)%b`P2bv3lja-INiazwgAg$Q=?-Yp!a7voj*C=TGDi3PJ`c9|(9HW)8)z??FZtDEZ zN@b1J)k9n-ec4?FwL#(VWPGM4o7oTA8@BcK+|!v2dHGQm%}Lq)jR64;PEH-yV^4B% z4U5EWHw^cQ%wwnO=92vNhx7ZDXs*kh(cW)Y{9{i^0i8%Mq7 zF-Gkz15TzGHcv=G@uWsIBpoBGCi7)Khp#2?%fA0UO||FG+EO&yIi)vDfkxMcu!^py$z1rzw&c zumLfL#wkbd2q)NpJ^@Qv+EnaATjA zNFN(J;uqdz`tObN;TSuXSXZ`<0g8lsk1Qr$ zpxt*leAmIm?5=HG`;zqcz);kVKBc5;Gr+`&XT(kS*UI1l)-Z4TiH%|?>|kPp&*vQ| zk_fN{Zmr`Kp7rV-nD|ANRrtOIc7rwiHz_CmVoTk9>w2$wGi8_`RNewOgM5! zk}OuL>+=0p9^ZnLho2Z*?EWG(-AFn-PvD5>AdG}@Kn;O9cgn8}_2@g08hf;Gl1e~B zisyi-7uKnA=;aBixw@53LPKv1rC$7zv0n*-TyEi<&q{JGxp@CenfZBUPVq82=3_t9 z1yZay?>r3ZNR)2xRNizX^kwVR&i+M1yX$H3T!EleHVEjWeUgk*Nvw#;9szO!tr=cx zOMBfODY>$ScAuXe9ss3#!XT>Bb^Hs*6VLUXnV$CxwO>HoUMnZg%*(~aC25jXcE`{p zv!F1f43Et>k!bJRFhYWiAwfY5TQ`;T1gS=lXP(SK%e=}){#dL8X}EGsL|O9X8sogu z(Wy@ZsxX@Fcnd_^p;K~qb(DxPXkB4I6GVFtvvfKC4^zKxWhdUL06)XZ3h8GFRZSZweSGA{PX ze1WpGj(4t)N1>sOr{s;yngi)a`EM0lx5o{=I<0!=M5M~jBlEgPAGA_04@I1k?=2d} zb2vFWJIl_Iur3nX*}M`?LnWEGHH5!j3Tbf^e()8+G|o)a_hTTH^F@$K$ZPq9Z#bB8 z!OnNM!pR)ht{+By33%?0K{PPrwo#~=sH{$Vj`!yEBy?$I#a^UskwhE`aDc(ZQ2Hro z)x7*Z%iJQW8PYt~X}U9|1!71J!qcnUGk~<`I6`fcG*9?eq)7zzAA6I?J{^^M92tcC z6`K}a5+GN*KnesLWZ<8gRPYhcO5oLMI86z1pn?~#ZwROE_VCIVb<|W??z$@9d)PTG z|DPrXg}ABQhWSCSjnUsFqqOHm&_k^*O+LYCgpE_(+=^a5hO6CS5^ud;{@*J~FjLQf zoM8R!vlPVka0#j*1@eG2iVSkYBT31(V)N%~@nzh@W)^La&SZJOye@k`w~+lpczx>} z<@hd0fcll8U;G`n=PpZ+=O9`K-Bv>>{T z{42UO6oEp_3Xk{w1uNbM0zx*?dPqz?YM)|#4k^7SF^8m2KmoHL?B(xkL4f@4J zB??-`1MgS+x%E2*_|O0fjYYn!QY0|oXy=dcN>LvFzx{=5=X!_#y?AIaH8^UwE>zB0 zm0Pt%&9Og?;(J9!g@8&G9}%Sfv(i@rKpB?{o$&h&A68J{7HC9*&g{dt4_IeMA115l z&(fg>fOh^TO~WOnd*B6#@lx2|$h$ufnEp<3)Ql5t^P&>^CoK+*r=6ktAGTBfjiwWh z?)6x6%sa=`JWd{4M0qkyw2QjDV*hIG1PNETnuZ^HM(drR`8NrB9H8Lq^IeQVlGGn%=APY)YAQY39mL|TL7u4j)C2tg# z(-8~HAI-;`*m3hJ`^lB)DhVrK0RHZkoZQxyepUqR`eQ)}N{llp$r|koBQK7Qnwgsy zj!e$vid>E?A{MQHoa|n$X)lSDT4RbXw;)d%M>1=-mLGsy7DqX?^yRy+DFw_b#90CQ&G`s0Jizx z6N3RT&8xGbL}j|d0D^@-QIZ8ghI>42^1M665$J>U>mP2Qz+?s(lqf8bK#{}%aE*Jh z#7*^Q6rT|oWa!gIp+@P30NM>7FaA+9Xq?+4r{6TED3brJ;pu-=^RLbOe~8@wS5za( z9q2q#H)LFJ+cMt-rOgraS2Dm};MEYs1D$8I*Jxy3`XC%|@Gej-F;?V=qqI)HN`&6G zm-oIn{)Cwm0}`oo8PVD$%;HraA9N&I+oT~Yh#*}PCNK3@YC?%l@Nrm_>}l6je}p6e-INx)p3`RSx|f9R@9*EH)}?c?r)339AM-3`FZkFavz2b3 zf39y~^Go{Np&T^#n4g!T8?!cD=XRw-WU0XdC|& zW=tf7;FPGiCIRa4$gK4nh{v2P3mrhVX&=btt|J?MC-vD_8T`(x8>92}V{~p{5Jou|H^I!Ec zwg>%Z7t%m~c0z)1vg?-l`aA`tLfV4%O>suJgAZWi{{u%U9;Elg?YBMpgncbPXq z*u?CKDJUlIbsv(}#v?(D-rQ?;>%ni3pEiLd5s9b(oc|)(UqWi~g)oB>$eF>8dxI0x z*I1VU%CZxA4IsA4QkXuU+kiWgxSl$YeB<}HFa*1-J6faCzFU|vCD79?=XE$V;w(Z3&m9ii!??&3Fo5~n;2S`F_Q zR)eYyw%nBEi8J2sjzN11|IPD%tSe}ad1881Vv`VjWS@pqv&|rpr->7Z4WMOjA^sac zP#NS1s7SGZD;(P!7iSSJ09!#t@5D((FUPq8G}ZQAfzxG|%O2F^W~Y|$ZqKOg zB}uA@c!~Vot!b4?a1d92z+XBKm9&)8wQ_q8yFi8gm=@AXH17xG>pp(*9&kLDQBVeO z?9b6VRyVvB2H*PR)Q<5c%IA6}eev3gPTTs-<1=yCcQ!M=ATzV2yoW=C=i-%QWcBcz zS*yxg6YHFo3nDspVSJYe-?iSbF2@vsd@Q@oV!=E>Se*YFXc$O{;I6@)t=f6PEV%O4 zgL`cwE}<;%N{al`>tax+@Lmx1zvm~c%8eEg240WNvn%+|uB|nPG zo;4t~a~LT2khVQ%<3+}K@3n5imZHnbc|sm`DUl6h3;h!wt#rtG;|E(n`*U%?Ms`4+ zy^kyZPHVuHnt8Qbrj!BA@Aa;Lk%p~FiPi+^flDe|KUtl+Qk4cypl&k@O1(bR>$U@4 z(#1r=iFGH9--K_gGGMdPxl_;tPLd4Ek-JIHQavE@PvZsYLu3Mpk$a}h8PrsM2D`?p zQw357r6%sRAcItZnh~0LA&qDeU`aPx?hucyZ~?U_ujrX`s*&k>2+(OU98`s)P1%Yn zYaZR|7_Cw}Jr5F7PGM>5-))8~ezg5+8HsP7-0fCntyXIjN@va5T~FKnAmR6ud4Xr9 z_hXqJiArjT})%~N;in<_*cH>#SWoulK$%%?EJRqZIR8ssLa z+6kU=t|`L{qvEVFpQ6C)hghGC4~yjLLq?nGXvT|s3cPA^vsYTL5M8KXuW+JYDI`vR zF_S3fY4;_VkJ<<9Ob1xpDNA)Hr-3(FcnV|bzfq8`YID3HTjyk1@UfI|2W!HuJb0sj z%jMN8%|yS8DJisF4O`a`pId>4!$rFHE503(PV<<`vSG1*bRqYmzUiex|Fy%nxQg6j zr!p;t!&19ud`p8@Jf~KCrc-Pd5rehE1(=V-?UHtJ_j+mt?0}?^F_B+n*3n?sP-ecL z3q^DPLasJmzG^Dbp&(#)rvfcn&xYU{omE(jg;s|=1nah`c^!AxrGkB9P;gCc|bf?g;2dCtY_!z zyD^&$`?$W~-B{Z^F`ewLT`MAr$u?3ehnuN2s7VxT>n-MD8VBJ4xF`?ZlgoQ`LiU`s ziiy#k`O)F$eoO254R!u-eL5rlSggzY#2ZeJhLP1Y`j&yzu`1hrDxLzQy;Nt?HS7y& z-FaEJm=FvjOT0;LA<3cK$^K}W1%L%+rWc0s63AIi|FXUAo+2{wJ@0l7R%TmadH(q# zw~+-Jd9PM`T>`X(G%Sa^ zR24a-bl+C`p9)G5vIqRtnXy%_!J)iq!4b(>6SdzZwYCeH){o=$0sWycK zGjyOnqRBUfXADAeOWk0`4YOHEb1??m>M@@4nDU|srZ4EQ0=^sJ>C`O5wLC}rXZ?J+ zp?btP)S{kYpm^j_oy$FFUyu|a#iIPq_egr3mqK6125}jsIHh`F?3}sd-HFyF+pDkK zU|)KI46s3n+n(wZMYRiV*s!O$KL@W^5X=c`{2;O7%43ODGr=E`L5XwgBwoseE#=zn zj+C?=)gQo`@aHrMCVjJf`SW+^XN!GaFz1hl=4>lE z?iNgMIn>C8p={NC46?8RklJ-k^rE!k_H2|2gPrr6?!Z3w+%Ku3^(7e_w%&P z_i9RbvR=};r)c~z!_9A6arA?Gm(t+VgD37W9o)ORVPXxlH$0hxG}z1~Nz7|9%_;9J zN7f>>=;2PN#ND0E#mIVz_(WxpZWf0tZ9`4s`b%@NeRHO_KzTHdxnVMc^Cc}7O1EXd zX_cYbsG!cR;$P=*6rHrG*tnv|O`@xxfL1057d{C((^ZK z#0;)J^enG78&q&TSOHTFJtSR!=~MPz6_ykqupXZkfABH4c`$(lTvbMzbV+!kUX|PL zipu&9w4PI=KMWP^%N@D(L9eyGcjVW-DbKa^`&9=g2BT9Cq?=#;RB^uRRE5*#GI1j* z3}Q%cl+uy+T7M~*X5sVmqc|$#_|xb&In&yTWZvx_-s*5ek!$3ad8hT$A1&6CYq()l zIU~XEp+-u<3P)3wk%&-Yc6*9KG62sxq&OKB9>B-W)7hl|gk3I45l24cjQZ!PpNEetia0z$XrqoWWHE(H{GV#0Hp1MKf2BcC5beSxz? zjX>UqGzlm#Gul|R8C`iHo+bo|kG{M!3EycU-V=o5M)RE1=-IiU9)ZYq^O1LY;!m7- z?WA8~z66t%^FnXX8`C9dV2WZrK6aDNoehBQ_1NGhH;T8ft4r_ zV;(LZsf<6pF-EU4(||{faAlCLSnGexgz5yP1%JPL^0;4gl(sO(lF&?lTNU*$aHr$( z0&`w1#x3R2%ToB&5De_5Qm40q85`-V zrjHq@#~&+K70#tn0n`v@LkFMaQkAA=vR$>;NJ*LDE4-^6AKEW66>>NwVIw0Xv^QLK zWM)Tr$+v6?uZojQzj3SG@Iv~S2~}CJfwZo0b`;lf=?L|6xU_S!uq=bF$Zr`TkE4P; zaZ%|R={Lw6_&|OY-V3#_pX~PQI#|%9?~o3t6!8Rj@|r9aT%O}e*C@gqC|mG&W!M{} zN|n@E9DAt~{$il%X5Xe~(Xu5r^h@UJ{0hr`UU39tJfcA z5`9lP>J+^*am~5L>bP`dW6VsuKB^JeMb5U=?M^dP<5o1flv8`=pnS8Z;^$y#(%U8YkwZ0Qh0#VSt3p-%laHLD?G=qix{wR*&aRlW)fe}1 zqb5ZiL~G$~b36FJD&~Pv09wr{Az0vq{iX?)}=2h@^ zXby&y&x8yus>cWwiJF-+oS*I9_;=?88nhmP>FGi8yt4H5x!FJFbqpwI-p6g+k9Xeg zbv20JK^F;j8|b5oBMj{LN5AAX^S@cexr}oajpz_B5K!7R9@n8Jt2L_nO2TNJ`rQo^ zXY)KSY*D5<%1pe#qP_QNR!BG(ONyQFD}%e)+&7f&VFWqG?3xc|^|s&kPv$yDe7K&` zKAEYm*noJ#UM0LnRD3u3#$(JxpEXcrj8MyEEFHX&ohl`*tAUp`I$KyOJ8GW(vnj-9 zw&}{aVv>i@tp_!OH^`AuiM_)SxOtQVtr=9aLpPX-LUq<4)A6C;?ECxm29)o3ocJPZWtOcVr2GEVtxO_` zKCWu>`RD10-j0Gh(nv^_FC zWJC|UT>mNr0%3FB`xXGVo)yU$&vujE}RBTwI6`!PC z-)Mib|9y^=g*MYmVsp4#Zt@fD2j#mC{%P!Nw!0FQyMj4}`U0Uvbwb_7@-gfl!Volv z0$tfgHgAlOO2E}Ie$kb*U@f}k8uXdlMm3}BOPlp1-trLTbx2Qu&IU>$Fqr&q zW6N`HnOll0>nJDpxTldmLFQ3cZJI!SfG73jVmZtXUjNHb4)!v7jY4N z^e68++nplBWwb$FO7sT}*0?lpt5;ANp;~TA)Ddrn?IzX`|+e zMhb&6+8&ozP(yD-&?g?U=p|dLgWdD)A9_zR7ZCY9cyY)@z$}&Z6SEKZq*Py>h!mLct!(8JYR=Zt@Gky#mxc<~QJkB_IL9gdTW#>x|uRLDe znbc#%s65vQ4LsiXZjL5QA>VM!2$7ZDE~rpChz!E4jqZ>tYyF6(@fm1rUighGnJSt_ zXWy!+ZT;lkc`K6C`2bumC09ePke73k6~+y8-$T!=h0W*u_Ii-KpkicN-kevdW3A8j zo<{q^EIm!lti_c&FaM#uLp2%sAB~76e1#bnG&oK3u8DwQHqj9Oo9{;s5xH_lm`Eb$ ziQi{JZFXLoVIvzoudd+1w>I8HRa_*>2|ptXIc_eENAKi2-J;Jlcdl+x+PO~9!1jQK zhKYqymRgQ0le!ZA<(umLmldiWNMD~%Ymyv9Y}3VaPnY_$y&Gxi&9FF4cbf|}rsMQ7 zfb070O@lnG1gHZ3IIKGzM%tQB{)eUJZVN20;{tyS1ISjugxEp=acX5KDE5$$GKmnV~gZ$ z^itSXFe7i!MRP%jlCib@*|Ys8&7G5}HKiLeCwn?Gef(5U-Z8FMAsmEz>NO9+q6gxs zOZCY)8*5PUNAentOM|Al2*Vhg*-7s-c;htr91v6*^qo?4d8 zj8)lo15uyfiM;Lny9P=^JIdE_A~{E|)3GQ6FX-<#JDPFIBiBqRs0rC7p&1lQI!l++ zl(DTt6|W5mQMbwVrL zsVRGSiOM!PwclC){EHz~TJ{OM+Wx{T8Z`cCY0&UCQ$qnY&7Yhc6|Fr#D1=GbAET5b_<}|TIghaK&G06W$G))j*Ub8BL__w- zvHn=z!kNLz@;V!Zs>@0@ZlP{=U`p+XH$_hbY!l$#I{e*dt%661m#;7GguD1PZ!hUZ zj`q0o62GR|G6`FI#2XuFrtlKGx89H_S!MfHh~pU7$2>^$uLA?9P>#omhX? z8W9MQwZ|BeXJhn5D|4sGZ+z-?<}7<4-ZXtDXw_8sr1cd@kZsVN%g>Y(1Ho-JHvV*3 z*lhJnyilLi_UfmgqI1M|8-wj$=hLcI^0w?6icdSs3u|Skn%4jPPCt#%vS0G8rhg@( zqqJnc`zuR-7sPl0;ffCY*?oQds}BB0s2My|K$Al4sKWct4E@)jP0v%k^DX%69j~}N z?!neCR8R9%`qg)8*L&fw_nF^ZHBpa$Osq&`Mb4-$bciED!lJ~52yQ5g`W&)ht2*Lq zRq%(EE|t;M0kL}18!qG}yPuz)v`lVT4#K=se7Vy{zIyIm1CV_+D|QBPvs4E^gvMI> z0}4DE6Ke5$EZQO{M>cmxz7c`#1Z}`ug5+-Z$xM@Tc{Yzm>U>&cJJ|( zKZxi|7FN2_H4?<+uaNJOm;_N(zh3-G&zX!_k?1f%y^0MRfo4>mUpKjKPldo`rk==C zlbbDcG;923fK^M*D2XjKSgf&#%t^KPAs9t8Wvn~b&dXG4*;ON$Q-1fT5{XN$$btL_ zq({}Wr+Awfl;J=6>L>J;0|Yih)k^o8q&644g&`6k1&O_K&ghhgU9?9kcy zQ;4tC3#ep8?;>C8cNS@DU(ZHX4Yt`M>Pw7W)O`AqMkXwRvMpnyg0+bac+X(otucC- zKf*d=Wb0jq=3FL9!;r5aRY&PPNTK&E7(Eqk#J|m`?4ObLLb#Ckt^$|`Zdv=#hMl|`Q~Us&gN|*Q=OcP@AJG+i?*D~shJLY;cSaYuC1a8VyZyAZIit`*$vnnuiw&@%8`lpV`c)!C3};iVl4cYuX7fN-0ZJ-E895BqS0j1 zz2O$KY2K-geL3lMx-hEdYQi^ z7ZkD`ud;mNZCZ(3Z-+aJY<>NLOuOvkX8u#{Y|HF>Wk+zet+0D#i1dkBf?Ys__NjBi zlgh|yOEcrQ^u=-(yi6*u>_t}XYb>99EGc9g<7nlio;YMJUME>z$W~Qt$E1|z^u+uS zc)D|o&!vJTL}SILe0D4otE=}4CqgJ}Tm<>dAo8koE|8dA{49F@3@1(Ok4XR3_rKOYEk3|qh*c%1j|Z$Z^VTfe4Zgk2pbVfZo(^2` zhz?RLJslWWZSfIA%+)uSdm{b&iH3MiOwBdlPWkB{lkxBcM8%7vEn62He_ZhPfyKXH zY}j-*2VdGKyi?uVQJ7lV$zN}9`St_iqYW%mDw1S6c%R^_S$>chIO4a`;k=#~-y0)j zFgz-^n`so;Ywc|o_hNsh0 zf^SUb`faJeMs|m%m8TmBJC^H&-Z~x3)VEBtfw#lIPk{C|G~?C-RFSiC)?Od30z*#a zt;R&aBj>{Zm3}w|y@S>*X>3SMPk;IAR3t-b6Lh82i9sCzyY9uN<^8|iqV3xPg;`v53_Lj3?R zkDFfvm)H#1y4_`nXF0a-URS#R#8(=o`)Js;wOSs%nF+t>GFfRKu+|E#&FM%;NknWR8{T*UXi)-?6Bfu&A=> zf&CtA{z(kU=v2N8kAEYAey?Bs>t$qV@`Zry?%ane*?={weC!oF^kg#tCoxK-4K9mH zElNN7^q&fX5S^I`esVy;2wH%Z8`+wY#jeiwY3WG+Q(}4I`=b3=wuPsl`SAm10-<~D z%P+2huQE})(yhKZw;i>)+Na~K^cGL7BMz7sE{$`>KjG%!Hu_C&GL;*A}CWSuPCMAI}Gl+fl^`BCZmYh z%1f!vhmonhO3(2@29OM%kG_lbmAwUT$H)86dQ1u5_-v{j(}*u5QMrZ7V$>hh|WwaNEfU=fj_F1y%-y@ zGK$vB)7-W6!S8%5_N7PiG&R~ELrY~_w15w@jOAztL>NSB+wi>k(Ca3=PN+^oOy&*1 z#G)%W>9(7A19MLyGU9?A8o8B7KkjE8rNgP@@e0Oj67y86OD+J^{RVthoVTSQHA9A| z?rc;QqS3GWwVR$oNcD=37#y#ynSiD}_ zzI2Iu^&S;2G@pK)Gqn}({Gn<*LUFH_f_oC`1~&f$*nCOBga2H&`5G4}p6^Wxy*rf0 zmUH_ccQG>)O|fuHFs)KLCj}dno__ diff --git a/man/figures/README-unnamed-chunk-7-1.png b/man/figures/README-unnamed-chunk-7-1.png deleted file mode 100644 index 17f260759cf02d46ede0a6454c499ac96581bcd8..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 52740 zcmbSzRalg5*EXeuN{4i(goJcANJ&eGG)Ol{!yw&Ar<8<$+bo|%&81J|H zZ>Sv1I5XUFuCo@wN(xesPzX?9U|=4}NQ*1Oz`$j~z`!md-3Q-!8@9j!1A~BSE+(dA zAtoheV`*crVykaxEM;tMY;SI;EF}s9!yO*3rfWu|hAo&)huJIWravo_s(3JISu>Db&ff`Ahrm4>&L~|#XId*TJkqVyP-@UDwIAT z_|u&aT}owr$3xz(WiPLft+8nAoxNC3-S^sEjJPDeW^8%&C33(}Kdq$>=&ZJ!B3+@L(wLO^sl zn2F$j_VE)vMXy9RXHl{OK=cf?)mg`& z&&=lK-_Y-jYt4}lDPeT$8v^W64h7o{)!ZA1emE8sat*gU$sbKJMPKlDb!z4B>DUv$ zu4L6qMRD>{PJOtJMgp_A%)nIo_KcFGRNkB+s5e~0jI;A7=)7hf*96XUkIB@WcVdVq z*Ca%QaW8b`2tz$zuwA1dJwfzFkEt5FgIeI-tJH^%T~D2^e_lFkq$MFO$ME1iAPA#o zQLj7{?ef;Bq|HIst8(;?T%PTcpNZ{(&1lXbSW}86josA|Y{y9q?-p)_xb5IPeT^j^ zMTTbXq5V2LABEtDS=NtSv#j&6#hryV`ionbYSlNlUE4o~pNi()Q63Bxw(Xm#Q8qmE zax*J(8bUU)r5t6IVUdaPKPRGyU44pAo=p}*+pS_0W;Dzzi~6iHp2ETCxORBd4VF?l zgDbQl^oNT`$E~SR;$p?%H`xp>^vS`=L5rUE6V|VIJ*_oD>m}7Q>c<^69jQzS-Y_|K zO^>G858k!uZA_HvZE$HlyhZea_uigSuYR`8(Wj2$S!bi&E_E!RU?iB!q-LpKp8etF zGxbY2(q0(PTGx6c)BD=jt7qLpF&5otF{Cu!EAy*@O9KuW_8E2yK3%$t%=UWrdUm7^ z8B%XX-S#;w_C9BSL0LCXcrlwHsx`^PPiGV$(Dt>>=(*w#oOcjpeU`V*Tt!&nc)IoX zJ4fb_kf95%RJr|h% z?AzgRXvu%iz(dc2Ll9f2&DI}(A++hm&f%#2W?3)la+rBqMP>3<$k*=G6$6ydYz(*$ z*IF{^w(EY>6AkB~RwkIO!IZkQaktsX+}_~LxaArN<|MNBM zBJ@E_y_s1U7-1M0aS>Hl*qt=wMC`T7TOrJ!6p3^cvcl>wUQqRX=%NS;_6xc1FNuIB z9>$8)CV|Y_8jxv#9gN8({(&MiEzI|J<E>CS1cx22>2}`7jFGVrw@FL`2Re(yE-*(DTFzoS|WrLPGX#=xUca zk6!-9w3ARxXV?`gna1lhJE7-IT!i;&-(!O>B4KNHrdsOa2qIWDU1>oG8$Q$Evfz2< zr)z;RG-RXwj1D1{@3@csp8xOT>H9%=QPKNSrL~iubjVMv1U2B_kw&*c5EowYym{vS z-x>OK2C#`>F~Ac^7Em_^GxnW#CiP)f>&(6;TwNaz&b0+RSb30c!VEp1;MtiFbaYsz ztWf-)1^ib#<&we)j4zk1>o)U>zdnlh_h~w4d+>7mkZdtW#;0 z*sXL}PnPNjdz~K~c9PO^6z-H$B;bTX0uP;dm@)odavuVG)LW&t--=svXuNXE_4n}t z=g}pF%f^{&!J~Y}G{bZD$8h#sJd^fpy8GUyda2GyFkfucUs@ z-hH<+LA%yI_v#yq*OCI?F2~vJ)&9&m+2@6;`Lo%rv7%4Sr@J$>ww~9AopYpj=bi1h zlV1#V!P{b9UH-aTz|keMMj9>B7|fHKWV)*@eC&!>=eQf>lP4zG$&|P95 z;nm&k!X5i3N{D?=9R0iRCz~U4v$YPy2-s7l`u-`bhVLkCj|1>t{lH~;wNvM^Z@obl zZkpy4@BVX4W3I&)KAbAg;)&)SxFpLj(Y2&keopAwv}0iMn+=h<^w8%|UZ@qR*Iw;6 zFFdmt?~_mA?3cET^0{3^6tdN=bNo_voxN|V7bCtzB!r%$P4VZl&_q9I_HTc7no-1i zYT2!M^8BS5eTN_#NY z95_Au*0pQ6fyf@4-*c_c50>63WC(hO3E$6Z)7k%q^`beWp?_T6-mUL0anirwz*YO$ zMys_ccKeOqUpNc84=`%D1~r=K-UI&u!7Izacnm%HYsQyhkPa*+gM}tf-QIX6Vw1~| zoK-RZO||Q!X_WY57!l!@Q77M@vrJ`yL(F}PDtP`{Ph9)&9Z9x~6yzg$4X3to&}Ht` zhD=-YfVrl{gD1o5(wy>xz}u5j2}yrMw5of;=xvIE7gQTrRc6C&jX%e=tw%q;U{=v? zwQub>d}7Rso#Wabgt50(^tmeFMJwASzx-38k zg-I(X4^DRX(ulh-S*BLt&)qp7(;sv3!7zO$c%3zSmj3HNZEg4A0Y~Z@kQ>7puHpZAYbK?@hH*5tboG z)YgL)qL@laiz_GL-*x^M++Y!~-_gV2iHOk&APn#y_kB-^Gg1AH)<1qRn@IAtSz;~P(Np+^&m-B zkNrE@gngk9iavC)w+?V1@Ln+58$o2$X2VWY?M7+Md&^F!gq(fvmNhtHo~JcC9*t?} z@f>~D$YC~m&$*d#DMG&b;^6UiP+0gOx&G?*k{n%OBZn zPwdU{ypWC!8V_=mt~HMSnflb4Jl^*9jW6LQ*8 zooH}#NI`V_fgBX+4!fGf29Jp9=rZq?@4i)#&!|S1Wt&K9q{@| z&&{`W?nm9UH@35bUZ?C6IWn>BO@c_iH55wG998vubwvUyuJmD{=dPWVZ^rDw-4)hb zv5PWXT=xc30}@f3uAyhwv3E8ygw@|bRg zS#z46q!jw^nMPBImi%s1?L=l;@C@PH|B#0%N>%_bxe4;5f5{zWVYZS7| zZGYrw4_DfmU?_rX8yz+VO2h(DOZ1w(N)$5$ji+BDes8$Dy{eyY zbWh;x^p$f^d?|wX7iWC^$PP&Jl%w`WWhRjp_k)6Am?-=<`BN4os#v4^9)>ee9n@`? z^txf7c_k-Sb6HNl&U5KoDOk<)M`c@3>D#fIuCN1y&gE>*C4=v%i!z))`;kQNQ`dvn zlpn#cC^sRS?i*v#+8Y0qa<%A>Mnur5{z!7`@NK2d z7n!vUr_&b1xABZ!Q(#c`QR!{ohsRNbGLfC~!8&javD}F0`bp z)mX)z_r`r@oWt?ULkm?_+Q;_-S}4K^p4mq|M|zsql*i|(W=HKa37s%)Pr>(la9=GE z%4Up;T=m-hqxc47~_<$=^8EQb0+!`gVvw*ZO*Yif+C0u4Naaqyfe#j)qS3 zHg-=OWgKP>Ch0_G=F&II{m7L-$*#OiZQ)XnyutHE>Z^DYhKybwjxquF)4tq~JxIP? zWJ=MhsdlHZ)G>h`!juj(>sDl%a9L7}&f&3;U3ip;O>u%D$1d!p!!1<2*62eOm1#7Zt@$c6hNvW^1$ni_Z#{#k1kzQZ?g$eA9Op10A-X_{sY|SXhqe;?&6c z#S{h%xEE5H6eedM2PIa(yJXg&4>6oC*S#Y6^mlfUA%u_sy8WRUa+u%MuIyWAwSke>+qrm=mw&_H`(0P9FLDEeY!hZ>7I;NOWmV#3D#Wy@X zssRkGV9hK+39_Yx@jW?#IxtMGj_(zS;pV>95}u}3MKPD~@AM?L`gav?i3x{B6{1~f zp2|IJ6!E`b%j2-FIi9`rHL(7F@fu3IBXCwzGkBc}b785Q`9!vm^65is1CGtNQa3}+&^PKk<>9<_UW*j*YD>^T;?0|M9;{V zDxBKZY{ekc{w{d6WB3bH<6+GKbK{Ii(DRy#rcGxNFz4--QoK(UL|@d?Ew4CE`8`5Z z5E)&rZt!Kf$yDSLmLmU>$zZzG7isgT(KMn5>sqc$0eG{CtcIA!COA)%;;BT*B9PE| zi^@bNE4gKL3{epcSvoiCj@vM}khir=A4t%_5mfU%fji#)o*Sy&;QGbldrmNh0uuG~ zbEF@&8|fCcvr-X6o4Cw6KS7t_|MeNB|%}%2<1>BtE3psU?dV9d#>)Hh31oKMYgN(RP90?m9?tSB##YBl!3A>%WjmU$p zUUrryyIx59Pt-aEoUe_#W2`Y4K?{hC)^?Z%gt2O@52u_abeZOy>#F|aU2bA9OdC+P zJN`*qw=;s6$?WEXL}*`RxzqMI>TmFiXK(rqeQO^W>x!oFo6kHp2{uG5_<_L2noV`d5j zhLn(4JTV>P<#qVF{iZ8k3b*!t#5hxnSr78Fd3T#**l!zL3V!<*Pl*iF)(31jxbv{g ze{tcl2$<<%RZ-W6ih?|fbcsDtgQ`~BiGKki${R{9Bfq>2B8O|I@5lA~F#4K2M{%~| zUh(5KW29!|->AD90kCUNvmgh(3mXMgN9-`z4)X7&6* zD2VVa6!wHVw#e_nLEH|eaFGhI<&Ha+iAmQXi^uJEI?Z05Nl`2i@0Wm>Qids)+3saW z3YI-(?cS(hLHHvSRD}QyRlS)Yi>D-;xRSurT?OoQgT!qWgA0g3F4F;`UIPxtA4)D4 zYYE!p*~8gVe5CG?52a&iI?)h!2>|7WE!116^VmKo_rh8wzYTtOHv%5$RH+6>UFMPv_UJGq>#pYp=%W& zJdd$B&v-A`VrNdyxAOT?U0#Yf4>Bt34e0^eW3LB?v{PdDcj< z2Zb%5jWr85doJ9dC$X)fvhUFjZ2-RhCDj|e$Aj=DFX0N;3XI^!XSWORJieCKJ9Q7oZv?0FC#BO^+I z@SPm}^d`O}!-ItOl)i+0KAa}QQzF+2^ELXJ)79y&@vQF$wkD5ocq`5RxD48nfbzhq29(M#>}A?NDXAtUOfXbv_z{;O z7{=rr44ouWy3lv1+>0=Q-Z-^$(Ox%~wKLZB{Y%xsoaI(CRVMF9fy8n@oiZiX=D;}j zCvh5mVLeu;_MRxX@Yg;3>wXCk&+JgZIj#=aQSwCg4I%T1#23^^Y>EjO+nH@rvrFti zh-A@D^b3X2(hf$K4iKi#S)MhF6ktpipOrfhq>uuCGjd;T>)j=9IWtcg(utjWUI26J zxpPDT&ASILHNCbH7ulJnWAAf};S7E0B3mTBQ+b5c>H3e|DR}^ejJxn`Bq$UH7FQ;q zGNu$M&q9m}q7G2WY~8K*?qozUbdAkC6^awS(qv?C1i`(TB5?$8rs-}b1@bb-GX5=K z{6?>bq5g+P!n_C-D1yXnynl?vUyLjY4~l(oMFco-e-XzAT{;ke60ectEIQc_dsPU| zHt-idJlX&T))OpedfAmQlvf0Szwy)eBL#T#u_su*cF`_3c`4Q*Ez-9xNTlA^U)&dc z5iLzGj@FRjWIL#oon`-^5t8q+urNXecZo`_q>M-J=cY@B7YS-pBJ%oA$0w?+W*8Uh z^lIg=`@tn%N6hCunPCIrCG|Xck%aBh9!N>D*bz?X`Ndwli_(tIJmc}(IJAgx!;`gu zFeyS#OIxVpIg%i>0ED8;tX=1n$2GUPkQ#UNmp6ew7AG|zI^aTGqzxnqZ@e~iT09tZef@g1x z+LP>n2p$Y4<{SU+7^8-KvBu)PDG68*s=$fT3~jh+DbuAnFcH#5gvgcf5xPPLZir}? z+%PA&8~ABg;+q59QyshPFxSJ{ck7AQj~PE6$U5x<&r>v4JOYZNP5eOoI|ATxjB3q& zo-n-w712@*eSpB!f}v4QuaY-;xH*zvU+b_@H;~3xUp~OwD>oCR$Ps$HF<3pCl+#aj z(zi2JJ~xyl_UTmuvn~-NE-p!=b|r$3XoJkpjNkoikC;F0=(xu zFP|`oCz=GY?4DgQwx;Yd1^-MU*I-;te@boVF3AS1{pf+elGI|d(77f*a z@zqfAOZJgV=m6Ne*vMcpv>sH~*!U-1+Q>2`qyt)Or{D7Y$n@`PJ_Zi9%m2#iq#{<< z%)?d9-~Q_yaL!{iPy7q!EJ*5|w$}yE7vazRNv~VLPu=t7qgh87K7D0+YqtS~_g?Kr znB_8@j~j7oF1V8>h`Yzw<3$ zpWYwOnQRMc-rk_7*?F8hIQ|%F)mLcYnEfTJL8?(yIh!qoHu4UYgn#m88LzoiLL$TC zC^*ex_(OpE_NVGuz*75MVoqYt1D0biHiYh`bZuMjy_D*dbqb>WdC=R=g5yiX77raH z4g)-$xbznt+|Dyr)jYT|y52WG)lu0!cttFp*L(zWVm9RZhm;VTi=WZ4d)?*#04+AI zF9Dx?(E@JO^Pjj92nQFh)p#J!=+3M4tInE;xEBqXJ2T2Dj(~>ez3%V=5e;v}2k?3g zYNq;_>+aXj{Y9H+s%@%S??vWch2_QHgEMn7cWCi}&C8PDOO`o+eKb=`!o)hQEyIug zT7<-F%r2(p(&w^^=m?hSrhe|qhbHj!$$iHDo)VlfcR? z7a)jk0J%;cfOY$o<7hQ(Q^#8{eP{@Ih|YkbH)grYuEwWNOzHSOvVcH6<%LZk zy0)FWrp78s_~p-$^WRewKzfu}5es`Q)@OD-(HeSO75&SEf5UoMTo{2Pc_PyD+BAnSA^?&0>i4~y&sldRspyDq*CqsY;;{Xo)iNdFFkMUUPX{5W_ zQ}P*QO)E8HqQWPCDefv7(DK*%gembd)%fFuwIF;_N8sReiJ)Ql?>Tl7;QdQ91ksM? zE6igli=*+{$nS{}9VQvRLNXbYwQJ+O@Hx}av6Dzj%tW67^pg&QD5FkLeiA4|#;zut zK^v8^!;Ol6ld_N$mPxem)!vEv%nwNDY>c|xUqY(X7}t>PB(-#xe|AWCgc)JJJukJf zOXNGI>9C*Ov&-P*wLUJf{P<0EA;5AF5o1X8b zywc~UqXuIMVfMD{*jfr3Qd%HS$0r1GH^m zQ+KjqXYrT;3k`V2XS4XGsrqX`sP9JbZqWgY^lUklMQg~NqX>!X=xD7s+^lS&K!uhw zJ|*4gRqCK>AR?V#{CgpmnunHibz}SQ%BZnos05L0o1b7QZ|d0~aV16B9=@Q-`QAL= z15y2H5ti$-aPCL}myC)}{23iiBsPxLox=wg`xBK-tRNR3jf=9wTk~^=xolv-Tq{+ z>9{@K?|IOQn73pJ#JFMW_b`0+p0z?W^CE*glpDai2p7A!$l)k?7@sF9~oE9v;# zkOQ}F7avrNGd1_Svuu%#BMB3+<^r-c{O;@Ww@|BR?!Z*Hy895yTsF3U>w(UwK8}?~ zZ)T5{uK2T-!U$+$hqzjn?X|L@e2*&vzWc+6+2ef=NGj1E@-UPeA3B;vhT z%f=fP7YbV+*9?Tr&taA`RsD@1rKc~#tnmU`WBs{osaregF^)Zc220UDpHit2%rSMA zTZ!Q-;6={LbIrv$6@z1EnTrfHRc3)q$|yr)BNGu0zIWLIkEV(59hRnTUHff0EU&oO z|L<^?edF-Kcxl7$-a}=C6&cM z+xuaE{=UCsYIo@C#~Bsb#+f4#f0V%+DX8OlgSl!0^ItolOxXpD_`UTM8|U_UXq#bf zwL5ms>uT4OD!S$10WM={bNznP3|uELL9VLaHUcBtdLWet^?Ogxp2MKPL^z4SwAEDE zHw?{mrRO^?d$UspZqS=2{z+03+2{6sh-Cymdq<_s!u)hHuum=K8*0~_X`g%tgVmZ0 zJ@&Zac%ZyS-;B?uX6b$}tv7H-CyBIxc?#1@YDkVHo_P4>hxyLr7fwaL1bI5B$H9| z*c9F-1f#9tn@l2?w_SZ_61)EQ74H4g^_^z+%_f$^OPXA($Q|y-}C_d%&9+L4uyIQOpj>1;t`^$2{8&d5K)QDjLMvMr>#K?VZ8l!3nAR+ z{!F`3giIq)zt+~{r7?+gQ0HQ|S!oFGo0DEsKkklEAR>2W! zxtC7aXW(x`b+!V)Y?sw&DJ{)>x8wCGezH6>LxGE&qvJs#8>30CcG<1}%#=_h*oxg3 z(RAUtN{OR|YDG%A5{0B0!%WKl3@xwEiG#D-59^85HQO@-IK~<&;gV6_V{*S+k6zsW z(@78;k(L{fvtJIT1({9#K-U|f4`xBdM6ZN9`P=QyRXqswlJ(ZXWnckettAu3I||Os zrCO&=rl^R1fXD2JCU6opw()4hl)}&TC@}LyfX98^dpqLs-n40sF&J89PXs_SCxYkR zJu4O~_a%87Fp#{s;&y?-LnzDlhKe0dU$45aF;}p@lf*so9YR7JH}Wc$OH!tVV!4Semcd;^+;jyH7qaz!9MI4O=2O zaNI^0Gn;0iYITESwQxVwn+DTEY;!m}FnTQE)!XihWPpmy)lbcUah@l#1NE~;@+0}K z555ww#Zs&JSbK1=)GWeL`b4b&j`@~%0DvW#MP1Xn19*8zs&eI^Gkywi3eWF{oIR(P-~E>v-$o-t`vls=VPwILPssQKg^C~okMBAkZirw)P& ze@+ameqH-)M0_l|ob*aZc>g_^NAQAljG{dfLv5HeC@~(OT~kAP^FwM~2qi22f0(Ek zFnFFFR}T}$OJd`~>Abq;i6Pz~k3{DTdR?ZJz9MqWl@rA~&x0>dldO8p`-CC!<}m-r zihAM>uneMGE*y;YWsSAvB97NBFkGOrRQ%-evA*A3E1K8h+tZzw(Mv^^)aXH?3<^!~ zvz-m4-(*|`50q1ier98rE+qwcbA?hLdWVM|@cGOr1M~XD^1)RS(e&rh&wR~|*Y^X- z`3YND)1={(QIjxvP(|cuGUOhWb?7n3tTlIw(Mdm6sZ1*Tq}s{GL#@*EVKtW5%Mu!0 zLqmL>{rSf77{x7_e@06iB^jKSYu}h535MBZX%>^EEUHdMC$kEteBbCI+~>Fe*`3#* zWMYudMEB+S$IV~I2<08He_Auur2>RuGDhi;4&|xei;Jy$uyvDl17fI z!e37xTI|3EZjzYqi*Qw3*fQLE4t*L`#AE-$zYs()wwG(wsd>Hw)0VOV$Aua>iiY|( zgU>{OI_0gQ1Y`6V0|p?N#jT^}`9$cpgd7~lh%ic$VDudJvxN{pHkYZrdyk2cpl%WV966xaE`BzGo zb?$C&!YfL&Dtn^+(~n>Ao3AeUsK*vFPHicjeaw!q2b{FhrXxCHH01;fvFJRDLFBS% z(n&@Y?dt6+R$THki|OZMz&}2ol3$&sIfPFdUN(|H!1t{g=g(iJ&@8GMY`(qRu92Hs z4~By*#9LAojtcvF;BIM!`ovGqVYOalvT8QIbuuvO78(}}#klA3W)Rp)$$2r?C!Uul zcB}5*z_h@$La1b^9nU)QMIO zs*{YF@8O3UGAN|;<=lj8GbrpG*UYU%?Qvrc%{k97Rag*TTPgk&AEwCp?-+r4<5(le z>aBs9muHnK$Ydsvy+~nEVI^g4-HV((k8)w zK~R9mZ%=tswy_-tHfZH{PX7=Nm-5rg@(x|l!+c5JN_qe&npYb~MrGRo98Q5hGKpT* z(|gUM=>qQWri_ZG8S+$9XHycB1c89l)Xf$+ourJXIrlu9oA3lw_zQdM%3CG5rYU_7 zd}t)b-ijsoR6#T@`By)T{@4wxf@SoZl~)c}$VT|fcZ)aWlAKu`0vS;Xu&IB1Pl z2iVi!?5#Kypb5J0D3pj!ia zywizc^98eBQ$rg<94{EboI2^Ar!O&vVw%J_c%YvSl%<~`tio%((WpS$7%9^DES{=p z(2pT$4v>cv%f1rP7~Do{M~YaAaW#-vbYJ!S??2K3RpM*?|1pt+pvHUj1B?y*S-?+m zEpNd;PVo01+J4fm=7d8*HeTb$kBb7eucRqrzI&u)ntX#B3l zR@q;RY0FB}u~15e*#?rl{kSkz)q-S%qO7x+rCP{mZ#41o1*Ku>n(Q;8Ls@7v#RTJ> zdX#9JhC%VR-D+NE-{7u9{p3j{AXd{(5i<>Lc>&KhEM;Da3qN_QQRp#`VK!Y+K*(+q zHUs>R+yf#uqo6fE@2lNv;+Ju*k8dw0nwhyG{@3QM{bTcz!O9QxwIu8=+}*m=Ryk%q zMZ)GgMaKw|`7)UOLF0;V;UeOOyVHC=-N(KkL9O-8j(QohmmiRN;+>2!F|6J`v1>mRP^{$+~lu2xfvtz-J)4277AY-=DsB zj<_dXBXOt`9_tEJy3ifJ!icl}m5+(m3zkP_#nzveGj^=&cjKKfA+HOq-GGjsTev-~ z-Xf6{x%#Y<9}zn9wJsB;h#h)22_ut}kq%+jB_@ab1rLyj!@`;ihb}Rghe-ss03-aR zqv3#Y%QtJbLE{Jp%Kzs61vJ9DHY_Ij%UNK-3&MeW_70sF3~h#0CxGcUKv6*$QG|a;&hY6 zrrm*VnG!pSyq@y2DBrv@zfKz(zO#*zznKII9dqTOv$%T`u{Xclz->*{pLd1`|0D3_;|a|f(D)C8U8al^YC-9{7L*oifk3MT*?T>>in!bGpbX^{ zjb|0T2yv4#X9zUO=h9r}H`Cv4(N_b3%(qMuK`Jy4ojQJBV*_u1LEr*du!GR`5*n66 zija2`v;o4T$hYBr(W_SnWafMtm=e}UtKHVkH>c$_>G|nz3$;PqRB8A15!d4^tD#I^ zZO|gP`bv8Hnr9C2;p5lZLF=HF3AL40q-!?=R^npCK3A^ajCPgw<|XsNv^PtqENQO%b(WX%`gjWCPSh zI?PtMV)%PD%B0Yk#_e4j<$q1l2kb0xS`QU{WFx)+Nn{OL$##DdDKnn#gouXgqu#wl z!w6Oije2J*F5@0-K0(h*M=qB=orzipQTBB&P$#FObL08Z+IIJECpNOW|RvK*L`^Lb2Zj4Y7q=bt{3^>2_+JtxWS&DU12b1 zvb;;vro0&?uUJXX&fJMM9$iFakAk?xdE}IeLjf!D*oCinV+yRFq#ed%!1g049%euu zGrww>d}jW=9f=l#xl4@@R}pWf%1lx_P7``!YKjxrqDz2MwAW z?|_T3U`K7U_AW?!FE{?wGDQz0M^5^ExYML}RZ7F;#x&`x|YlzPrr zYc@=AyaN2!N^|kfF#MIv(_M@89cb+)39;9iNp8E_YK^QAc$SC%W>zjhAIp~Hc|yVHzrC4cj3J7gH%%}X zd$-VH)T0GJ7WRNavNBz5vk#_TwH8hkrw~b3UPPmt+7u1Z2ib2N6Ej6Unpak0*RZrbe~Pdrtz6<_SEm0aX{!at#V<%5! z=%3e{Y5EJMni-K7gH4^tfGCtxhiUWtTA|y+NKS<rc3#mRhFK8>&0S^ZU7IKQ?S zGO72#otP*unfFPqfO`#W2lU3B`5u6BUh0O3PWzP)rmnbPX0G=bl))7_skzanQC{{K{S&=2%caMY$Vzgz1M?A-s?j3jPthPU3{Z zU_W9?=QnxZ)b0@m@nZg-B%qQfE==kAVwsD>%gv07rZe9F^xhsLBRqAJQ15ameG^_vI!` zdLr0}s1$yH&e3b?c*d6oSsx~+YU~Utx;)=)@%~ZU!bqy@fKQKkz#h#BJkTFP$26f& zl#D*0hdenF)r|A#S(`y-2pXeR>_D{e*Ri7wn8NnyLX2EE-k%Z^-)(cH@M}t`N z^mGtUvZtQ*nt0Q5U>&M5%_D+ye6Npiu*TmopU4V>M)FTm3$|d;Kw=g${|wnl9ISv< zk)0s;(xxgygRzg-APZaBYdBVLnb384>77`D$Ef+*ZHA|11KN{qaodW57fd{j;ZB37 zQ)KYBE+JnkSUXGafsVo4uoS7THA!OsFhrCAS;!q+?b;8OIz)a@DSNUF9IkZMgXv8e zOayfQnjXz5i8ybf7S{Kk$K(^myh2+avl+VtMSdc;p0py8)(~3PWXaJ`PfPi4<-Tfs zYd#Wm$!0fWf)f57`N49TdX;sabGFAoXJzm#u2``iJ8>m(a2 z)@L=%)hnF)Pd`_7KAm$>Kmb=NwIfk1&&7nB542kXG@D_39@_}^FtY;K^&;U%?}28= zX?7j>^hLs$&<#C;O&!oMaR>OMjHx8OMC>xFZ}oQhE!cyrxj5da2Tm`(IaLJh#qy@Z zRGD!+1-8`_Hn2<<*qtU^iv(-k-6zg42udlu*K*{!Cocd;>1{&z@~9*%gUcoz%KyhU zNS`!0ywuJ3i0+SO^r5gA!LUQUD%_x01E(*V8O=*!@$?h9??Bj#rvU<$JZM^YWX50H4G5KK zK6zZ!u&O;^&W|rviKdk+lFcOW2?^8@%6V>cb9Sf_`B#qs9#=`cNL;@0qkNLOOll`g zo`K|bo=nrk7& z8sNUNjL^aghiTKo?HPTMbij(U|U?Q_tMVHg=^fOo9!=&n5&@$GpCu$cLw4SZ8UuAzmz9|M=*glQe z>rJ3l+3w`*Ys8d>Ujh4O;;1m&_$_EB^)lJF6=%plNgmC0{+Ct0kpwgxOv`{DBr)U7 z-rn0NZ7yJOa%Kb6vFf1Cv^ChNNNjHuRsyteap=GigfD$lw>n3--UCG?bv>Z{;#oC> zeAlmY&s(AF{!*_Dfx>(u;2Xwc_=NfyB%qT?nG=S`?g3;pW`Fgs<%SmN*r=KbUS{P;BoxquuN|^x`z-mc|Npo2N_cnC7 zKu>z_`Cfg`Wj}7ed^CrWhu)Wu5aYt^5Z1sj!+}<8S2@;W2IqX~cUdlbWun8ZIp* z1bZkau)QbG7=8cGeGZTUMTvt%yb3AYeN~7!uA?pWEWVvgc|a!J(x%0mKe~Yp^y-o^ z(wBvTBXe>NkQOJjrf+UVS}9*J^B7Z`z>&3L*{{=X;_ofxz@=y@k7 za4E?(um5Cx;)kHa-~>(iuJ?21As(19n_SHo;nBUv1AK$aLC`(jy?2DxwyVh*?4}VZ zfPt@-)7tRAOlEGrw(pH|JnrWrY^Bb@LU00orxGBxzqF{w{!w^Jj8NC7_kBn!clXup zpLH^DQBJ@Kig9#5QRK`C#-i0S$pK7zPDH&s2!vrYy*V6!@QRs%RMw=<22=~ca&U6= z7#S=z|97yZhGnJzHj{}#79M<4uwDQlT(-%9;7`#?&0aYhE#wht@z$1;D|J7 zju*=$9zeUm=98;gkCDwDKNgm4Gwak#F_;t;tW^Z2kF*Stirpo4PPgFZH`~wZ&SA3) zb{^dn^&|)k)(g9!t^KTm$Fx`JJVWoiXFjcv7Jz|KNFm?tzGsp+F8mP)k$085&T?2#E2vzW(yI}jlyqS1s#q4NG9OQ84m z03sNwdrVCP=W{e6;sQZ*T1pidi9cB9u&QMKkr8Y}(0eFMY-WncdJ~uH2XmX8IO?F= z-qLdpyyBw16V?So+@8E;78Uw$s5GwoLdnaHxu`eLwQR5_RjfLRT|lukBuOh4U^Wq3_YV zMXR+37BBrNEz>=QCLm8gjz#~E{Q`jjyK043pf3UI%Rb1@j`r!@g3;rqjHO6frvH|l zgbOIaQ7q8Y?^pbv90x-T6r~LCAWKp2j(|Mt>+Ld2*%5hxquwb5HeKVl1>C|w(-VzJ z*xG((8t*TBpg>#0OQi#~`JnYW0QK8>501E<>vO0#u8w1~xp_)vZ_|&$+|&pT#e9xUondTymU60v)%t_mcBST95SW zfbXFTGJrWy7T%>%Ot+l!Bs2QspM(ePLM@$1-kj|YLK{a=u4H7N1{QD~@N{0%kO^}A z-kXrbl!_$Tt+JdlNO}i;7sAry{%mdenD^l~JmO@fORAwgX!G7Gzlh!ZI~8RS)bxN> zVSf7Om4Q&+8WgEZK;vl-^oU&co9~+XA1OayG(g${>kv9%OQ1I_MK$$g&7arMIX|-b zdW~h>3x=MWg@28#yJ-Qs2cT`!IJVn-cdLF2@^%+QB3qy6d8k)}zp;oYOb9v-$Mt(L z&zZl3$pyo+UI`zZmqI2>^sDg3YmTM{nCo{8Y8OF?0R$}l>7*C!T(VZcj{f@YYdO=! zHv!p|hwhAhDOdavXWW_{R`dFTosDe_a{~0BL6sC0;SKsGd+#+~*+o$!QE6AaM<0@F zgGc>vlD6;B`G}ZzbPLLUjSHimHv;2C@~CUw0V)D^x}m<<@6NI21u&yiUd~`Cd2#R6 zte{$4LA`cpQ8ao{&WWrDnt=+qf-3nNmtLmo$A`Hr>K>7xrF+@dd;$yvu9%*4^5Jd- zM?jcMz(rF6;8@-C_g0By3lG!`sEbwL?G|D1Y(_WkqHJ?*Jp^3|PB}mZ1fkt6Li~OX z#4SIIgHEyF7GVjnj}!sZF20ZvvXVytuHtJJAgA1#uw1o)Ch_;@2fx*0xFR5s*jaP@ zRXx}ku}QXQ8<{1!Rg$+y+Z8M$&jj z8j0-MF(d`2gbrHZnJRTaLdZ7G1MLk6apz;7KvVuR=gP^Z3M0!D>jYe;qZ>gP0KkIy}-F$+jibAsG)UKrQ@)ltJks{cpUS;tkm zbzNJK*oe{{!lospyF<&M~f0EplrAb}BZsOpB(wD*FMftk(EP|Ht|8iJFDfP}~o`>b3+;-^yN^JZ9|u zG$*rVnP0keTgNfHtb)yHQwtg*agt~A-)+^GY6_a|Bf{g#(5Ey{OjC>40p`48)RKVJ zXj^k24vY+%2c9ESf9wB^*)?mSF*~z|uB9Juz=*MFfu9^1c))BXp}Mo|7<>c_-DYi9 zqMp%ZXhfjeH^CUkrxg7sPe?6s@A`i7SXO?xZD|jy$ojh=0#jCSl%3auaAl&{09Tyea!G2uLbQ#ZcKA`1STDw z?YJogC-3s}OKv~^o)Jvzf!JkrV2_^92X$ydPpc%-nTp(!bIM$CHF3%o?Z=z9w%JMD zPx>(ytbg!PX1fPwX1{GW!>BsWw)=Cg`HOjCwI_K?n1X|5B~oykF9>rENV^ubx)J3B zZY~cFIKSgq;B$-Q+LZ^M(!UosHNvn1^^C7P8(d>ESp0nyUFHtF5pIWzN&IAcOOHO{ z+bSut^@SOsA_c}P<%FYY}o60eLTEo)| z4mU>nz>{mW+!TTWI{FIyPf^DwA4RY7u`SDgBwh_5LWdB44}8S-Q|iAJB$@(RJpPKP`Yt}{I0yY*O)*+(BdP;10S^yv@ zyRUogGjT*R%dvCCLfwuxiJ!;0ykc6#Q2(Vozj-^bkE6pzC0ir#8- zh~-3>dR1IY7N*?4oaQ_ql8fvC*5Q->Xt=&=z#pa1HW7P~1Mq?I%{WiRbt7&VD< zM54Uu>UECznC6uH%dmx8bROs5tII!j8gxYdGw=6fKe|Ku=)?5b?wJ^y8le|_VJh{e zc_*G9j>X`F^nNoICwHuNv^cKyfBw8*eqzcfd)smdZM+uLWK-JeaQ0skEE4ot_*123 z3h&W_P1!7jt~gOyqdi*jnHT!bSd0R|jrwWsU8YiE)AcM>|ht z2CctXbK=;lx#ZWJsE9~%68XcB$0D`Ix{n(b~*W#9#~{dp;EZd zLJAofy`QGUyw<5Nl(d^$e($UwQObdpv~0BLvMXq;wL6tX;#yz`sCMbN?bp46I}R$s zNAYG?@a@^ty@h9>`~IAI6U2jO&t+7`Ai1g8DqElLS*lVmUCe3 zV}|tz0gmjK3-E~cC##Hz`s@NjvegJ8_#AL;qj7aacY%Ui3Shx zZP)D>2m9IcxL+Xx7IA=dunt`hXL77;>t*ZSM2cRYN)a!Ik%qi8iR5qHMyRIyIsvw=fpur zfc)7pHDL6p?V&Cy!3ckDaZM=zghOX8r*lCOc+)^EYZln$63lItHRtc0?l354=39sR zg`!?97@wE3;j$L%N5-Z!7DGF)NJUOl&b|HC3$EnEE4ZlzHvDPX^PWb9 zLsm!iX(Q{AjII0}KEsM5*##pA5766dwp}90CVw7Y1M8oLz)wq**|UfUJ;S0};@bnx zc4=C9(sXp^vQ8;t1qvt(%W^m2#LVC=Ap$K4w#$BdoJ)wO)(eafO!-f4^v>7dL(R;Y z4ixF*Vai_=^SzeMmTXRzS;S&9;V=FKiDPp5LGos9$P-Y+ zP0*zn8{>T*%H^BH{X{@k7F~)d?e(63!|H4=-@;w$LW|EBfN$l{vc>1KJ%A#i*>OSs z)9@_R0uAiSY?{$x(OmqHXwe}JX|y!Xe8?By8wmSiMNH?exaZk$ck8r*vOKzPHbunr zu5rgaMFu+g`+I5_z4utik$xE{!m3Z;0S<5rRP1q@Iz}mi2uc#2U;+MKxSqw0Gy0?K zkm#%6W4NpSYCV9uNQ>|X9^)vL(7#AM&}jz_?D1A~gyt6Cjo|)w8G_?FtpUVjpI_!) zzaY(G(bpoPkm7wiTj8BMR6ncw?yyKUmtRbR@S&bXbMh-?QHvLTv0KwVqi$OqM?Z+R zUL_);s3m+^*;x4`c6dKzaHf?XOZZNZVv+U-rz8B}>jU-b9O4zfBd$V6;hLQ1u0~xU z-h;Om(X7bXk=R`>yblv?2Xf7D%AZ+`^;>5(_zIm~?pfSK8x9jS3J*{;6Zp0@rY#1D z19LNX1gYtJ(3ve0M2EsYDjc=*QA&WZy1@IEqj@EkO-XsUS%V2#Pd{g!dHh z1e4`KY-;0BoOtUzt?o_3w`N0O1JTNsuRa?+UxRXdOXy?QmVXGnmYfanCM4PKu%C*f zedk7B6?y#k_TNYqZHuk`nj!H!Jn~d=-VZgzn{1De>o)4fZqm0$?!p6KvLdMcaKb?I z1y2@1vdSSOz|KOGObIw6vS-ra3yv94f4?VH4MS)N4^0wvX$ZAp{Y7w(&e8UPH^V&X zY6n}G?J9*2%n8Vc6>%+Gb-undOXjTTz8CSicn6&VH0A{KzgU?in%0oFXh;;xy~};j z5j+cFCK8gN3b)W3uv)zZ5y!bZ7g7X(Jd}gZs}tuP{%2a>K!TYkDq;q}P&uUdKFz-n zIGS5Km-boTUB^xA`A@_tc%{3+N=1Oht@?S6ZNMzm+OoGU63}m+*Q7ctIdLqnZIjP@ z`_De;h&nnBCEm!mRUg1HuEeJ)qkcOlfoh$z7xBIPwR8E?Q%ecYU3@7>XM2F`|AXA2 zUp!ZPiLV(ef@WNkpvUleV0Sqf$6lW7zLVOxGv*yF_L@>7(cB)N%i>gXo;swp=(lmY zO|h@>K8*JHo5$_U333FNs?b%7Ix@bA0{dnlQ%np#iDfgsS9B}h$D2c+;4*W6nar~S z=Ddrlb}%m2*^hetHXOSL&WD5?$4~NX*MvE-qb4N74$FCx01HN2bPwxHj|O@bjKZ6P zuR2sbjXm=x(e+=Wi@8M_6dBaCa4*-%bE9%)hbLVGyKqmf(fK?l841bEsea>YcBuXD z@Zz^x=BLnA@%n=oX#qJNhlwgbv*e5$75$csZ&RZa#9S9ZI zDNXW-n>e<@_6MBkspo6UFYkBQlPs5xirlE< zEe@C^J%LZbspz7&xo}(F0IW1#)@!kLJ2kyzGWfj;9mWs!6cl=QrvJ2g9q&rp>^{7Y zoPs;R+*QxtoU5KzWKv&mxo3yA{>k)vqIWJ$E{%r>_ZZV-*}LU#-)}dxY(-1a_2FhwKzzT0e;aucy+3ckcNbi@wMUu2Ixx-}BZ(|Ie}#6) z@yP7Ib~sd@R2W0DV0lKN1l?Z}o!zxIf+!`w4L-h9i^Bl)G=vVYFcupD3 zwwa@x**SetUSA*{883QGyB!`K!cu?_mgXw@d3PI-`OvWM5OIq)#HVGT5t<+qlRm}Ou;0T1krLI{K(5rkwU=y$z(xJR^z z*Rj6ERt*haS-p&+@?}&57&{8kNT^k0dH{9gKds zC#g>?cbTWSaTr+19Fbsk-V0f%In!^IyL2CGU30aMYTK*sNsZxq_G+1Q`Rg&!pfzJh zh_~Hs2?c(k0+dB=m}e#|gun&Btf zAsp@Gey(XSALlU$9=bd`m;wqZ=5TD&l*vPpD+{v=^Kg^4NbW6mcp;^&$d&o)@I{dz zMR73~v`o?R@QA+erVEi6bPmHC)M_jk> zk@QX?9pPu_uzFntnhWX1HBoY&oKFA66Ts3-2JWQjnD)n8F)Sf9+c}G-_h-Apnpi#e z&`-bzfR97oj6`r;JtN_;5uKH*#yQ{leC=a|Vcb$DI^Tt&9vL-*8yJXPu4!3zFurB& zFrPRhu_xLB04w|mBQlg;H4Ex@r~PU~=A$OCK>fSbTMXX_+jg9^HeA(hTW7!ahIn%% zLIzbBnGUPn7s>7#);xNXhCuWqV!QdTSk3g0;!xl|kDamP+|c*~;y>UHhE9VkRIZQT zVHPpXD!)id4MLXqqun=;x@28db4ssF?$c$8cz%@?z;XB&8{-=*iv&SqDn;0Mf+=l? zEac=i&<38X5zuh(S7RoNw)3COb@2Hc_MYUNKp26F(%KT$D1Hr$EgJz#*OP6l>v!P) z{Pu#Xif)oK-@gtU#^paQIvc_o*2+II+Hr5EO)2tBkym(4#*bY_&V|H5SC+dj^uEdD zKfR*7uYYD(u&92gt}GFWgMRBgjgZ&tn|$RZ$*eu;gN`s!YuS#z5s9b|(N}vHoky*| zn3a7U!)FF7g@+p5BbzWQ-wetrBgJvO`NZCu0)U+AFpK;7qE19Pb&cBc3p5;WS*J(nd zrw0q@$9`30637jZ)iuVeRnDb65X*Q!TQXS?H23YceS41^dwv`lhq2MaNY!J$=^F6h z@>p=}aR;<#o23B`=26^whE0^cxR9S2XM}L#Q9JH{;nb|T`r6(KG6%s&3f$$i;xjwZ z#R4m@+V>Ur&dp`4EYHX=`yLiKro!^-hr9WePx$K% ze{Wn8pX56x$F(cj#Pv6>B-L%Hv1xBX$dgJ=8}NVbT~Gosdn1 z8}PljqJV$6RABAeY<*@#T%#?q==(b3&_hYs(2E71BTc<~{A zh?(*@vvwENX3k)OM|-p)DH;rZ?K)ZTftaVnA7R*EA8D;jdS*M3VH*yXcldLj#} zDWUG_ys{!=D!gxcKg2Ea_%00^-Ck4R{ie8uJfVE8H&EgyC$OJ1S@EBKp^-AW428>u z&-9?-Y3$p6$aMMnhw{U04>*=1(*6g87FOP&mzQ}9>PdTYw{?hrhL%NgWe$21tfZw} z;BJ!5c*fBn<5)-X z?w?t)6sAuq8iPpYDI+jSi+&ZGW*$ciEDM?b$wl?==Ml_DeHf^s%P?1MJP$|}_D)Y1 zqI7j++(prz;dMW_--7m1aX`#F;8_lqneG!ciw~cu^3MMZ(LWJ_pT7$HKhNo$jm>dH zf)gYCsT)qx{L1QSfK>JMdSJ4m(ePdn*75q)VSji8>IQJr^ zT0j9RKt+&{z?KdpL@gqfihd>AJp>-ngboV{hBTnOjwfaad+F=5?@>uUgQAOgY43#; za6D3MkU^OqPMtU&?kXPfob3bLsJPu?NkeAvW<2eI;=p%Q?wy}<+Y?btF4hetYi0iq z(N%?Ei<`GyuZ~7^!O4Gj?n2Jc1~Fm*U1uy>;1}o8>Cri;aFFh-A!ZnNUYaKd7+}8x z#tzYgXa7SwLjEllK^#+Db(u4WAndM&c%qUnG{(UoZX9yE>pfQ_&;obBD49&)5ukms zTWrrYSO+Ud<``SFd*^*#*Y=!kxc5VHZkdirG${)LNkLhBUg8F*pD#_cfNHqP3(GQN zAw0?<2k9gIqfHGJVKbu!Ee2lCOJ|vc2d%f}j_s?#czNN?9Jk4zw-fsjXiPgXMa5Td zfJ{M4zTJ}l8@0g9=som%i$FOs1rZQ|p3X97ual`*arRacO)VqI0OVPbUX+y!rNiY2 z?nnt&P4d4hBO<)^hn?O&EmgnhPk)b*W)Fg;FCv?U`Vz$kc>*B|v^g3UvVET4rUg5A zGzE4#MC@iy_^}DwWgnfZx6|v40%e?T0t1H>d(P}hqb{L*_Yrg3V$uZP*qHs3DKdxa{o^T62@8$;VVBR z?)XXE)oBf}c_86LTmIoUxN>%K^GC0jh3>$iD?APCPj;f7n&}SsBR^Ry;Bah8FQ&MS zMh5gC?qlj>c2Nh+i|J8uyLabkxmOc3)(_f@Z?7%$H+5NoOQhfl|3PHju8<@#4iG56 z#~w~?V2xW;6zf>?0N%nRl+Z%KL{rqw?v!a@?pEB|(Br25LB;M#=3=-n8B%W+-Hu!) zl9hBfUDA!jz5l$gL$sp7QYJlko>bB0rc`1^gc@5%nX43xaUG+dp6dZZbJ89()8!Ri zJ_e{L-DQ^j&J(c5C5xS$G+kVus(w>tPX_DlA*6I-@zURArF~|Rh~tPza_lbbq<7%{ zb?YK{Ji#rwzOqNK$Y&LvS!23q86MVr1gK77Gl>u%X&vy9^z}I8dc&eA@10)EiSijW zB7HM%xieDqOpw!H9zE0`oyHY5TO6ioHw_$7C8yvvWohu~F?CDE$U8sNYe3JEt1%Sg z81SXGU@k-ROmz40(7t?BTj8Hr%52xzJq=7b_G`0CC>ng2g5_D0DgXq}8?H`g1r4yvPi=x{cqmd#o@K3e801$=89(N$CE#*!grJv;ggX7*34P{Bz%x zF%n*;k9G}Duc{g#kZ0Wf%P(BC?0v@4W{)_T(%|fgBDIE*qFd!dlR&Dsf%$?I0jZy- zG&b$+8ncuuU`kDb<@&n>caB8|DGZ5ZMS1%qW3zVpt@q?gw25oNXNyAPlMW`zPYl}r zb8Ur=w9uq@t;|H_A+$N0!I(e?M+c!B*zbspMvtxDw`-LOr}%qkJN$LRv-{CCT1<5o z7R!H%R3}w5CqfVH6}-+Zb`|a&7#%Hj`PYbz09T!Yfd`G4!P5!kl_a*@HXA^FfiVzn zi~~sncPWr|10p{ycA;{8I`~!j&u>NP3VjD!b+ZIPBU=f~|8XjS(DAe_LcA1?Nhupw zlK-Rj0e;JNZAUq0Qr|#ap~;kSfXUGx@{A2s!?8iqvQqi3S&`FD6Q=gWA202RRW{>Q zLD9cODq0lDjw+Km*AV{*s7X5ghu}AR06zcH$a9}p>Z{&eSSCI_Z7u*4T@{ATPTK+% z>C+Erzy2;IsY1a9GyW0tsY`ArT^g!N*#k1auLM?p+OX;CmRQ7}N7px40l?AnaenC?N^lc^Jtsz6?R?8LC5}pNdIT{?fbrxBgk$=CGUGKV4kFm0 zw4a8IZU|Z(z~e1*1|AEg=!j^Eo^k3_0D-5rkWPh^aV5Y<7Ake0CN8aE_H6zG zGsm~pKr0ggL*Y*FR0LW$dw{@6aRYnF9-Gi^?Zi0`W^IEaD&6gRpy(VYXvp%R-M|w0 z0L7=YC^GAv1GwIc>-V9wI@qR9{sd%*8DZs>421|Sa7dRwf!ZOE9hCmrvTnbViG`M4 z#6$F~L*)*q{1MIzq}`BnfNjcf3Xg6EpJQ|8xC*;K+?u;t*h&Nvg6!#;VuSdAJc-F`oiXIFgVJPKC)Xe(*r#FmYJs_nJ!hIsea|TixqhCtIGSB2z2Bj ze88#mKtc-gpFbG`($f>bA5Ly%dX_D4pB0HCMkV?OFPCmoCuKsY`yd89@ssXpBm>3^ zM+4-e{}p<*N0dwmX0z%3`$?lw=SIkAf9onGFvpri7eP3`h zzq|MnCW(~XU)UG|=*$P<(J|h!6{;ZO0Ux3KBxgZrIngB4@eawi{~h!`u~L*KWc{(J zC3N_tNPmPF&ClzS^ZtB=u{aQ?YZW~XiHb|z1Z0WV{;KETS!VVYD!Q)^b8B?*=ZK%F zw9OW^%4*Oo)_>M&&Tp$u@wbY~!lMU}DDq=ove8ET03bH<7lQDNoN+Q>UPG>|2hMcM zX{31i2^{Sx7@E@$1XR9K#+bmknnQ3vIRdA{n{vtTqYh(Ll=%t?%yNcujM~1VZQ`*S zX@SD#@68sgqrSB1{W`9E`rB0+7fP5fuUYoV*kJWs> zHq{J|8QX?=w=O+UM>^0edmiBi4#{w=I-rsumYD>p8qg(&Niu=9{T1*f0RMH0CGvSN zHnsXNz2ho`sbA3|#z>0r+XO}{myGA|^Y#lG#sP7%m1kg;E>HR7@(HYwLPqZG+CvP! zXgdLG9Kc`>*u(>gVQKhtXA+bUyLt#FhrTgW1QA;Mqb2m8e%3Lw`Mg$2n&vpHy&cZk zD|_g}PccZ68;$lL6z5ndZY57qwj(%xyN&~XmF>W4J=ookn=p_BU@=79%1UJWRyNKTH@n%rUK=XViCZX= zR&SAe&5_oGS`Lo8q|nD*Rqh|><1sD1>J7hKdn}T(_%zABJi`6@Y=ywGj>9VNuZm~OmGu1Vg8M39K(_=&$jh<}eHjs4(` zF^A!!mH{oSpx|~~EG(@1ISk@2II^-0bL6m1B(bqu7|7#u@yL^!Io4TQL^HU{Y3u(u{Pc}283hz>uJ$wzrF1MKx zIr&z9#bOs6Evbcq_QP|rJ*M6BW)76gGRSLV>j)ClK&mJk-Fag1%D4ClU@20ZC!XRl z8LNI%{A!}&^VI-K0w9lFaV?L+uv8`neCDI>3$HuvOp|L@-ah*<1;sX8f71NC4s603 zK^7ArtZ0GrmhvOwarI9&8>0}2k3X{9KPL9zfD zW8Xidn^M?T0B+g>WJxOFpjS!XgcR7H9_Jf7g4Sw-(&i_ekZ&=L$TO!R6rkCZOL%QHPX_dxEZa3aB_E9^(|3K^|}52a)!K`vGN{1GP+KdCe9GTJj;~d!1SE zthyp*2zb&f!GZD}kfq1olv04pSx;St*Yz3C6=uitNBl2%N&-uxmqD1-YmHn*c0H%< z$u-FS2w5M#d0aU0f;JY_h1MN+jX&rf>2nWfT4LPc$E?j5EX=KWtSKA14oV-Qhq-=v zR=bpwv|x+_BLLhE?^+SVt~93Jt(}q<&_(dH5CEBViDLW@nFD~ zAyX=n6F}EWt3sG0>V)6BSP1YebpRy8_Dh{_IdOzcTJLU{gWEb!+6*}5M#{`p6dGIr zF;%)1!S;DL6b$fcva$qw1ndW^ftg?H3cMY}53yFO>{m!a0v25n=wVOD_Tay3#j zoxo}!vUL6-J1U+@%@?CFkC(O72oL9>zZx5xzgnZSO%s1CygQl>2fJTt)pVDr8Pj-? z6^S_v8a`_i5)-u5EMZ86&qXPJ~sfVVVc1J~X zKbPb|cy1@;5aI-_^RST$o7;oo5H7kxi_`#g#%)U7Ezk^N@>udUJi8s7*gFKwTC?6-PpnF9 z%BSE3j(BK1)5o_E-hQo>YwIa{CT?^mWsUCI-7DZL`HR!hAn<5Z0}6(;lP$G9_8`HQ za|8J;^+Paps|1XbO6WRM3z6&y`K3o$w04+sf9d*B?*`#tE9v$cI%&=yHh@SYn! zPp!+CY(lRdZ^)uEPh4JkjetzbzF%TCZ2dxX0*2Hu2qd;@eMQ}f> z37jq#7pFlt>%b;$Wdy`;9!r6Ms<%ZZ;?Aco{hzjN^HJtccH9He6{)f}safR2L&948 zC6ul%fYZplybM&xOl7LBqH12LFW7UJ{2VV!-dpe4hjOPq`&qFEH+ngUJ8D>e+EoG~ z4L7svEklaS*?yv0I*@*nl_%*c+xiN%0lxX`ylU*x_u^@#5w#)Ouxl zDN;GGxLt{E`v;a9yQig)6g?}&cjX(6rDyNyzGPJ6v0~GxRAq}Ptglt-6_qK15=!R- z%i9J_*T!g?{aT27g4p|VDJ4MF9X9Ud;7q^n8bX(`8TB>lYWgO)Z@}*TBIkEukH1Ex zK|f$ra(%7*lGR@@R7NCjJcfjc9kKc0y@^i)IDQ{O|9R`M1VB-?-;G}&eb8ZzwEM1y zNA3vEy<)9k@1G7v?3fDJFUQ=hxj6nz#lbf&LX;{O7o89B|27bh9)fql)Imh z-9YZ;Rz?rjO&tCfEw<*)S+q25en!5)K#AxTpDc26;oW<6O8QSY$La z@PTk40WY!P9M8LOkoN*@`@TvZ1=DPGF-2ipr8^z%u?9*AF9F+x8#9G);#o68Zl{Qro>S%|(P*fE zktH+tGQb*`Xh+b2*f3Z?yVz&}y_Ho3)XAciPhFVw0NP zU^i*iqJWUJz{km1ipo#>3d`k}T-O;;?DK1i0zKmt0Bp3wNX2uKhM`z3YW)=;&|C*` zI~Eye5(;e2%rOHJX8>C4y&u{;?-yU6dM~(Vg!=Zr87(XA{Ce6(appR=5fWY*I5uX`Lir^Cjwb9#+uUYD_|VBULakeCF^1BJg6;kN*TInB7^DM9mj}^NW`*w z=PXBsgEdAu&i!!FItVM0l(!egMer2n43y>BDGa;9!&>7NRvQ3!{lc^s?8>FZ;6+{U zSihmxotU@8-Wh;)1;Tjzkr%h~g$wh|0BsUtL!Y!< zMf!k%-LstUQL7@HS7{Vx+bL}8J(hB>1F45rsD52ZHu8;hckb%l33J}pCQ54O6><-3 z_%bzN$|^rx^>FhHwCRo2C>edAIg>8M`wFy=g;~+m?IdAA;6iKlnUnS|_DgViQDWt^ z>Mj><{;d8%UYhyAs(tNHD;R9(czdhYgU^ceHG@L0qg{as|0AI}8bK^mf(-+QJIt-^ zO-T8ARi#R5J2Uk&B{Sx_=OCZhNK=9d?=+|m&;!B_y?~KuzX9?@VpT*eAnC19f-$^tHCs+$Mvo@81p$IY|xv*D=uB;glO#e zcb7uTdNdJ}Erqk$=TiT?AmK(@@{PG~v@~ovOctL7b9iihDDWz>(f`@x6mgIe{6Wyt z)g)d%p|?cc0<~BdyPuMz<+Qt{BjpRBr+e*g6(rS(9Ub}l>M6B*G(%w~7S|=q*(P!$ z%Gf?mnmlgYDY(uoV(QKu?tDa}LXGq=be*cNMLt0tdgUq+q+<5v*-jiuVVk+S8OoJ( zl^EQ!k{roCUq%Tld5q9t@EUp2$(Ga}JAcb33dHfj@r~j>0M)z#e;tdHIRQq{etxtuAwgboDmqWS7NQk|LEb&z!Nol+ zjr59+pau*#b*6x4vI=zFW9&CkrH3no`-Vosz;H#46#v5AKR|^U=hM^T^y1{#VN3B& zNjT=~Y57}PzTDVdMH%TC9A=>x3lujNCQvPkNR{AdK&Zu*r5o0#neKEFBsy)2e{Qtw zRamH4d;=}K>oCapuxwcjvv7uunX@YCXHQ6IdVPux)&A9`wqqgQa7~z5+^QM}R2Z-l z-Cpq(iHHXp$7Dfd`oPTd{K^#JaXIo^juQVC5#UaCfU+)G=Cf=x7i7@4 zo`J}&VbSI&S49^S;D>3Ja-kkM)<_nAY^4?f3 zoc6Gfg2~XYFXB?+sJj#DztcPd11zLQMmh|BIvJf1C&sr zqEDvDS}%{B<3r~nN1LoZo+%CP`-PX2#WkD$a+TklF#=vV`4B$4i)sMk01-|K+(mb$ zQGfP%E>+j*iw>)b{cbFNNJ^zZjm7F$h6X1ygnRGReEUKqH1LAl2e~n}1JIh8lNZkf zN`ezb32eGr8rE%95)+j%bu_a#S~f)WXZAW}zL8$02YaJ-i4QLvksh+&8@6dPR9`?>3#g#`|yK3$HHiF%u?cz_5S-6;ELnTs4Tl zCkEa~NoM@LemelvWHLs)#w6-olCsnnDjZ&oSRtfcwH_3?qjEQ%)jan9wI$nd(3Vua z>E$y1Z(G6z+7f<`^E(vo?|&@@j9ky)bXZW2J}sRY%~5ULoOkXEr6EAeDt1nU~~Y^htdfy5F>|opBIK&Yy6*&A3*D^wbf_|AMeb} zOaX2a!N=bhNsuw?2u`xES{eQ-#>hh2J|Ks33mof4#BbZJn?2Q4aoWPa$OB!Io!9wL z2ATN!1DP}s?bPNwp^_%>3k;b1w*FVveFrbZrN8++`U;jk39r(5zy*B;3bM~<4+-D{ zE?9I6Oky%F3soBH`~K0M?oc_mQYbXBrQT*pP&N)XR-$R@2jeNSp`N#lPdGSQ?`(q3stV%nvuKw#bD(Eo&^YeS zHWWdy_|<`IX)zBG*N5?7qeOAyhckt;6`g?lUhXDm8>-k5VdsnbK}0q{e^QF$xILM~ zSoCIR8Uu&8Kp18LC0IlJc-MZEhSxh_v~dFb)B>f-v?L(83aB+m9{>vB#64Ecqhh_P zL0AQSMz|m4AXoq_XQMTgSIzA|8O$e@Votjd9^DmaLQ7Nv(@sh)lbL;0UWqiG`Bs#$|eYlVkcsNQ1 zqxtQ|2f}9#F;G;PrB`9r z!SXbqFUeXv$Wr;=d(ayn%Nll+E&rA=W^$)Nq@;cRmHf3UjN)u;A;czXVXu^umc)&1 z1G`!4FAu|%7ceB^r&ijeWirnoXLS1tWXHaKclz3xzgeO^<$=b87Gl!5bfS7tIb2J! zL|NQWd$XxRBH)fS=*cyE@3fo|T2gZ{Q*z)(e*Frt2MP1I_Sb+z z6h*4x;I>!y&SA5Xsk!WX>xRO`-)i!c8eEmv*+u5=CkD3l;fSir;)i+5)}rwX0oob4 z6c!W1knyibmOLZIlm|AsWqZXnAcC<+<#1Tn#t{f*Y#|=w+oRLaga;aQbEjX*Q6^vn zt&demK}jsPRfXnGnn((p;0iSfre0RAWTJ|#@p(Y%H;|#g;RHJelHlhwcwNPRNyY6L zNb=+<(pPZ7!1rpYFhs>6$!%jLBTgkRfLoVNZu^K+U~EhCJ;Lx=BVEZknP^t#toJ3D z=~U0+Rf(qO2^-K2S5%s`A%-Foh~{ef?&z1-TNc{2j0HWa1aOs>{MgdcHN_U<=M<{X zsTygFjuFh@+3sQoH!s`TZwt@!(ksSVQmDQTr!Vzxm85Gs1}xV#TNyH%3_Qk%XF19a zq?-r6v^>e~c6SE}!`$td)!fLU=v&C$m?iEPTW$S+H(pIvxTJT0vDSybc-kL(fSYqa zD&!dEgDZV&X4Ep;LAk-)ua3m;pZn_~3StTQf}P1G$%p@3X#Ia*FO&V~SyF;hBfrS3 ztx~7350Cz-R*M3l+EjU>lv!LB2GT!uXAE#i_t%X5JNd5)12^#P^lDrZewRs)bj?Pr zn1mtpFmv}rY{YTgdV8RF!|+`T=v&Oe%%#lf0WTFkOxNdYY`83hx_lDx>uLXcIZ}Pt z7T%`c9#k2|_qWs%1b}7y0h>s16L9OJZ=P8F2e)X70ZoX>j)}LDF89FpEeQD=6g@UM zS!F*3sAVh`?qEth2~8)(cTn$;%cM3>!h7AD4@-u5A*Ob@IRS`I5wtsVuo{pO#^P41ri23Y? zAhfUcP#wLZ&yzz`EpYY_(D0m?Gz-7PXEqy?2|5)P=zRSYVGrWetU)9b#5w}&@omnU zG3W@D{z6~&6F9et&(dwcHhTLL4c}{#p)muw*2GPL=4sliSEGk?ha~V`_uO*Rh2)5> zGp$CN+j|*hwy7QWalhL^V>20>dGA1|Tx>L|n}m7OU0C)2~O5g2}?7N0cu;T_`07t!n%XNf}xAUz^!fIrEm`3pq z3#s>rGMvU=jIo86N5M6_7s@fIZj%Rc=h_ivyyzIL`U2&;5?98QWhn$tLvC!%7HAd& zLD!{`&@5)YJH8?{2J3!uQ&7rYScA&NgCB)o4hGjyD&X(H8muv(Rp4Jo{x}E^TJ$sc z`tmKrqWOwy3ufJ6Uop>wL4^x{J%~E20Amozso^%t@&KLtDY9AxQbr8g;m9wteE^@%KROo%fUIXPT`UC+fcNP$IrAqiO_zyQl1@@0jdQG@KvXj3 zyh^&i%JLcLY=H?qcx?eFeyp!A&ybnZHPvqZoO&>yLJ2W~{z3urHS)U&?Vt|;X|&Bn zpl#evweJnVl4Fj71V|vohD#lavrP%y0j;7Na2b*5=Dy!WwE}TP+A5HO=C@ED%wrCQ zAV&LdNknB^RGDHDM=ni*lDjf{-_XOlOlB^LUf~lx)T-t?oj)-}l23h0NiynSO;9R{ z?y6J@RP+S2Y{pps>Y+L?o@8Ct9#j ztRIy4e_DrTC|i(@dHeyA@?8XXjWY2;e&mdM=P&R6Ge?Lfg(ADGQ|Tkr|Gko9A-X_w z;OW%P&8Pl_j~d9f$3%@IRR8^VS!7Ve^2MH5wMxx`VCg$kp^b@R79amt1%0ByRF-5P zol;{RS5YK!Ji@`;RN_vcqY*adobo72RLme}VnSTs=7EHwntISn>}VOOf7NVb0e~)L zHgX1Qv1s@G`OU`Q4Pd(SCtntuSWXTwiE>-les+BYLYP!~k93*mJq%zZs4KQnZ`XE#CvVgD0{+$;u&-2r0dFoMTVF+xF%Z)!FFZX=0#_ zc$K=L)e_c~y5Wk?bIm3)^ggZ&FHo&!A)rSh6tq6d7aG1l0Qti*3A=qSvJf=oh#gTN z>Z{Hq3kcZ?AjHC!;L;_jGg!n~>0E)ZW!}%?y=5{@0-erq{J^`qtV))}VGI}^N)>SscEAdYJhaht~Fqv_p% zQ?=Hkr5&#uxA5$KnBmb@f>W%^}uob4D4E`z;|h9KFd8mI{^7YvNm<{0*(tZjK42QO)pjGioo)> z_tZ8hBshkEsDV}3GM^9J4xJ(-QzjnXZv_YY}a@q}BJ@l$8If3#V2s&}4yt zEPNcu0Cgx+1P(lFzuB`*$^Krwm9E(9q8Q|?=WO|KiMq<5?okpG^vhg7QTi6Lh} zhfev^{-B3td)vl%l5x36-$oH$hWftq=M~r~>t!|rWC~&1PmkA~bz(k02yV=EW#0BIx5X&bu|Va0<}Fo>&$(o-BX zc7@)#6a~t$+5Mgy32qdYkr`pf{SIqNZwJ?H;w=>>#M5~Ex9&LlYXHOp7-0G!0Jtq; zNLMOKFq8c6L{k$Q<=}r5_hZ071e0V(LcP~M0d|a`Z_D_s=nI%dii~u*lbJVv{!bvX zC<+duGq1=4zS{%;Hu`q~9-0m5;Y(!%C~mAj6+i5j5P< zyx`be?#Yj*`uG0_JD7V&`;p$;U_cE9(i@ex7U^9DfOycXpge34Bg~|ISA)#xE7TWT z{d#7*o^NT41WRD~PZdG;siDsFUxv>(mmc7$By;7ruN}j3Ma+9sjnme=E*B^w9pXbn zpD>T&5O@NrCyS~_ql5s%KffjTHFC&(YN#@s9|(eVky#_W0K*q~6QmPFCiT62(iwzF z@$i;FRfOo-B5n}v*F5&^RZe}E^Z(b@b;o19zJEkLsO*)pB82R$tjEYoh4e^dm6233 zvsd<(sEj0~BrCg&$fIl`$KE5GviV(ibxwU>uiyFed(QX4=lR_CbzSf4JusJs@O;c# zBOfiNKXN2f8cfr$ihfn)NIG}#HsGIK@y}hMS*DW3n`-SZORZ_|s&kjI9}OB2o*U$q!<*dc2xYg}jEIg4yo=u7cHEqo9l~Fgq+6RpiO>UI)lPACb zyGVmHba^7zw`4n@m=hWn1;D54`B_%ymC5rG4wL6DK2<%Sx#|LPzG7$(nLZ&J8_*8& zZKb2$LbftaXbR{bQmnR&)Ji2La!ZrCC@kpcyEq?ZP#k3|M8kzIBeEOCLd^sreTWuQ z2KK*w$f+K9Dr109+l~C7W0ElEI&q9J`!i(EjU1cY0IY`jBKH+9Xn79qN6CHUA0t%O z5JwYYY)<-q1?2;(D9omz&jk}hP9UB|3gx+v?x67C%JP##B=U0he+F|+s)#;N97Z%4 z{APr9SmfiGmG)G{Jx4#vIL{SqErjKRU`6$~WkZ5#cl7X-EGYM!A)}L-LH{ORdcqbi zBh)CX-h#Ph62)mRltaqp9F)qXb4>9oDQ~d&mky)`S#8}{N>?;GnjsQ^!ysM?nyE|1w}W_;a{>2r8u~uh*Mngl<%>5t&p9Be z9PjjXc-Mfo>XU@~+AZc0NVvW^Y75_zzTJc z(#rCRs(>DmkqMz^>mRYIt>i?dfQtEV=mSKD#vcqzrU*3g{l$*RAY?=62kae6A?mXB zV|`^kXYOzAj5A81`&~qPiX{&c&h)=4a|0UK0g8y|aKde=i?I5%UtGzM`vr@2s|w<| zCv2gVsrEt!BR~6N-+>ZsvNH7-7Z2BG>~qX>)b!tDAPCPjEjRreW0&ZvF#v;yEaUfd zJ;}jLFuhA0BYoO$TJ~}M%!JBO+q>M$QpR6BVlEPkt+Dy9xWi^IqE-plL5VraiQ*9v zJxBFWH`+?&=LUX)y-FW=<2Kygn_ES8=xolpnBa*A6W^zpFhlT`dZK;A5B4t7WzNR2v3y%cQX6QIRW-q?DOm@(9b!(%(aDwH|8!)N>h7N16!z>8&B2?go=3ByWVd=lSKD37kon7_023Spaf5 z_kIG3c$Tx%OVxwVch-~l4?X@3q=Dmh(l*y2&C-Z7jWign0$R3Q$(!VQoMJX7{fWpowWVzjHe+c8PLEaFa+_Y2L&im@@7os z#-U+{A-JqIgf!7&gDLbIl;;LBhAi)AmE^iLYAwFr^^fH39Q=7#2T8oIc50qV+PYm) zo5w(VcCYOD5yp`-={JSMGu|+~Ik;}T_(A!igHQ41;cvY)TJQY4_(>zg`$-=dCG7!jL zwId;0zo_%BN+O!1EXvLi_oqjuB67V!h>Cw-6uVMyx$AORZ!`q?XY`%}8?W$%4KP)s zYmLJmS@Y%8MXo@DAx_RaloxW8tMyUlHl*VY6is%KWFmA4= zm4TFemkNYb8d!4N0++vdwVOjMfps#~6LnGBYj2jA~K3v zmGzvwIb-~{!+U5duA91L4DC52mX?HH|M+5W#3JV#fmGuu+-R&hCC!d6(RtFCs=-{B z6n0!Np8NZ7xQ}`3w&KGaN;4y_I7+$uPy%6^jTld!4zhbOzg|D{%+!zXYLj=d$UCta8J{@)(Vf|=+ETWa^-yQU*0ka>Rj zt@*1?gEJJQ0q)mA)aXuj4lY9HcqxvM{_6Mn0r@-*Ih^YMu+@nkKI$mEz;zA*m!QEU>F_#W735mu=3{?|fad=`LidnoUYcKRH8a``&Q!P0H`MRe{#*{Pi`bJo8v{(A5#Q4fY zELT~&_K@F?f171WqA3*!OKuBwR&{d&(p6Xv%5wQW)m~@jKwTCqmRKWfA-{OKVtt%> zm34QKmA*15N|XP1>HPc6uop;ExQ=u24~5WUo6AW#1<3B-zI7Sxmr+tX$){L#n~jwz z`XE+&O-j!^Y;LMGWPxAf<QnEAT1fsJS~l!cjQ)#M)FeUb)! z;aJ5bERjRg#o&XB_cdgtET?7!@0ZfPy^(jLmP}K>W259!#Db%LAo=^Xv6m-QjucVw z*5yxv*Smnt+j5?|^@Ba{8kfVq0quZ$`7-w>&iZh6qK6ETfoZ&iuAFk*yz2G;6#Oog znxv%w`#l=Imw=)%sug6x$m-e{Dp`$W>NuXf)39UemY(S=E2`b$ymf=0z0nF{4)|qg z={0qdV~h)Ud?Sy)PovcIoMa@&5=_E!y9~L$CvfAZ0hgR*>}+?DHUNxmfeXTME^c2W zzjL3QJ)2|CiSa;(>Ah5%mR_~~99*@nOlH)o?>?w1Y?IVzo=*7RO_PCXW{!%&wl0^2 zA^m~HdlCTWwI9ZYq;T=7tAj@=^^^Va=hITtKsdQF-&7*0&VskQOl+R?-lrU z^Hv^LW$AWWJ@yKF2JJ+&G9hH#3SFNB13}xH>BMEHFBRHa6F-Dvy3|R|pS9&`dRM;N zz!vWxCxD>9DU}#+D~1r|vE?DgPAZnpsTwKfTjY0+ab9+hBjshzuI`9XOpMY#d?h&? z7D5p{Q5dVsR!f@%Hy5rkZ#?Y;Re`6J8Hb)INKKpg_z-OBJ%keSX@mQ}Q)xkh zHb`{O*|+_ye)B8+IP=(o@6Ui=coFZuh#^bTdOu<_y0O+c*?1l+*Q|J27e z6XhRpO+zb5QzdqK=Pi!&i+`q4hVmI7R&?st%r zUAPM!U8GhZS6hA2UwP_Lu4w+;lEULL3q72MXPc8{1xBblm9b*%lv3`z?2nL(>o;h{ z1UO4!ht~UhD-{0XBm{3|4DnrfNvj(OaDf!|1e#rg_;*sF#}TCToq{qXmePdaLqHBC zv)*8SGCJm<{^s#&(+j!!G~_8*LnXQvepQ}cCu4PFYV@1UAFERf769Qg1ibKDLSnvJ z?B0%x@Mk$9rBeiRHBdCKrXRGQ4v13szjnOolfsr}NdsGcu0O9sMw@xnW4q`* zp-pd3C{-lAer{3=h;&`(Z8>rXqJ0z;DKmpgz)NMYr8AE`YzG2Gz)^CF;lrG~+5 zl1 zUnwMe|Dv01>alP0UJvoTzsL+Qxk9FrL{sel)PiylEs5RKenz{9iL!|exInDJz4PL) z`}+iZa{f1WD=~Ei?{nvCC<45xoAv%$d@{g*-R&rc6+Yzq4~@HA!i`L!T7woP)eI{i z3+fQwcs+pOzR&hZbh6L>Ni!CKyb1QJlv_ehvf%L)I--8)+>&LiB}-a@T84JgG&o+4 zBMPIi8VczO5|9R&f9RQgPhLYH1IcrWkNjNi?XYhg_a(oLzfu8Xi<)x>pB*k!ZS3%x z!r?*(Qufl{lM_W3^OGu|t+TiJt{QSYUK(QTlEC66n_O|kMpDht=SvOLBprO(U*Fa} zAi6k5hp7HmUTsvBm(=e)0~A`yvm7Y!bM%77Gf)I*iUixduyXb9l~1)Is|f_@6!qWz zY~LL_O`~}{UVGRt#+o;JkVe|}YmOQf-Wp=bI0lwymD1QMGh4*_wx3}GV+xq`-)Z_@ z$nL72VCYnyIA)N}d7ib~g+FZ7DX+=V^a(~qA%8KXxn1}*Ky|(~2&xmS2`K>&ug~JF z&1sd30E(;lcGEbpB!V~tiLz!yO%v5vHU4R?##q53#t7QI*DSk}68*HE>F0#yqx8iL zIlD`_+Cs%%ntqPQ=Iu4kz(>#=<25QRxGKmO!F(or#E&iq)=lGv+V=``F#7x=SB5UK z9%DBWr*FxTZI4+$Y+2|{+r6kvEXE@8Pl^L^abn`#Kw|m}#Z12P_UZcqikFlqwVq7r zI?;EYkbk`8s;+Wed%)?Wt$NZ!ZFOg_sSW}CE0^2V7{9Ad2u;miiTRKr(IwI4n$RRJ z?MC{jf9h1%CI8VkA~$p+2=q0!MC$Jw!@}Nqu#!*$#1i>fEb)41JeUj1WDIQ^PJ-(8 z@RUT)+v^j?z)d>(JYgMa1FnmfzJLE$pAzWJpW5xLz2u~lQ_k(cH-UM)$ zHOr1Pe%nO*GuQ3z%A{${TeI4blUF0@;wUu>RzV}(X9VKq+PtiB0lbdZ@2*|pARAz3 zCEvX!qU=p_4w-qfRmMsC46{E_q08u55B8x~dbYe=DonZ(UIRJn-b-0O^3Sb% zCcpFKm-A)Gbvdc!`y>c2Qcsy29!!6`p6KEJxG$=?lqRj`ZsWPbm4wWr8-@#YvwU9W z{I_Y2qK1>JOZ4i{0U4s^Q_Ep|{KP6>g=2PpVOf;M@NYl3%{_A^qpFk;kBw={T-BP+ zeE$pnVw0e1Ilk6=>gJ)h|9u`Cu{}N9Opj$9ON19-l_e)~uKJh5wv{H1_%o5i4Eva->3kt{bHp#YA`ZA>1O07DHBEsCR9g<|exmujkXPsmM(?@6Lf zhEtk94=qi|pvFKIZL+CmK0P7!KUskVB|Pi>zA1u6P$P! zd98bX1@1NnpJjtM=@R36`^1CkipM{2T1c86W7iVJp!l)IjzO{-Ee%|{UZzg`je~m> z5qOpuMRxT3`aM#?L-lQm*SVvEypLf|*M;~K$XDWcyE#C|<9MI%VuZm1))RuQ43?0F zF}p9ERlKdAeJviV_cS1o-QvrGku{XW(|Km;BRumyaoevg$g+gwB~}L#fCO#wShKnn z6k=b;*73E*$Gu3LlxR)R@d%r_eA&;mojIvQ;)8Nc3)4mRm4gt?p1qu7G*W&Us{r?9 zMQeSV)S4UXH-jt{wcK;9?>UYt?92n=RQ4f|qKEz!7rm<5Q|@%dl+VfsloUYIe~3Mt z-)8s?5TEtK1JwCXU~%hBVjkymT!!}&5WWWft{bSru;2GE)nNY{E-gff^1QDtch^Vf z_TByV+72JZelSHd>wyK~lBdprLt?j3-u)v{OYP`_D#19CGwsjM7FnP9Cm;cPt9vP_ zNGD@-yZYF`0^P;SLpZ9)dERseUnIR*|L~WsyMeDlrn&sMyhS}uEbQ=U0v{RSaLS%&$DNJS1NuJhk&l z!R%+{ohE@~pj(kb^b~}C+!Q# z`MROhKbrl}vGy;jfbrQys5;rqaPC}Tq7DY}CM)W)3%dV( zwgM>#b_LjPaqEPCbsbgU&OWqQh!Z$cAZFk2{O;5JV?Z@!oQe@Mz{%upaZwK&?!BXT zdX*;ZyCWd@pG8J5+CiWU&~;8WnY?$J2Jysmg{=yl`TmGd;ixKnQKRrQ@v_<`?)s!g z_SKaEP_gbjMbp=4Mr73#E z=XBKr&(B*-%^a{^O#aM~x)`Ot=xP609zx5Vbd_?b)#0HYv7j&jiAwZEJQHWkmrhtx zh8nzs#wY&0J&>hTZ{^y*hkdZV6JVhz&j@0oOC78wKvN0~twwMbDFaBOBw5z26gHVa z9m&HaA}Xs4T;aX2?duz^4K)HXSXMHtxxbjPYzXGp9{NyEl=-I7_bbSpr;7%gmbmq~rU}q>$JaTJ1stfM(ZVH7oy%@?5u#hN*6VnWt(J=+!Eqt@295mc0 zKO#$3#~8bn7N8lJtW7UgJdNh6cMdXTLTryvlUe!7}6Sq>9a}$NEIix83BZt z0vQ&gE5>9|1s~@x&JfC*-lhqQ;qa&d;91*&*eYVj59_w&S{2Sd88Wzu@wQGJJMwcgU(AIf;$Hz-BW%NVIKGe;yHCV^kTQ|X%U0l8K z>hIBO^O38lN%;JwO=a2_eS2~mu|F#iNA4r6ANMCLSk#`14!r zLE{z-K8f>(=+BDmS5yF|_(VUHDE!aR>BC>ZY3vaeVe>X}v00~5!}%t!)UhPjc* zw!-i~&Iy)HlQN1#j9i;|G>inx-%u6fQbod0bC^!Iol-F?Rm(^COrxIMtLhO_-Bp~X zfw&jgrj&u0UeaB0Tkj;jh8jnDe5N~|MR!XLA#VHIA(P0Kkaj0yEkNWTf6R=a7F*#+ zU8J+cl#hbw)n+|8@*rd{it{H{zvu7fBX*EUqy~({??6Ag6Lqwo_rxBYJgnetbd{q0 zc2|e4?0&z}I2~&I7vE=-lE=~3=6m1_v%ci%8Z7J9BpFRc7P~j{$06stG&+LQ&(*kl zMfVDorCU(uJoz`SQHqq*VLW_c*6B=M9D)U*0pgP%f>r3NH-IE&h{-gOhb!Su#b)2U z?cB`smqlTgRJnM&zcega>*=1-j)@fySWS+oMR|Qrwcht8gCA z{j@qJ(U$ZQo8OJ)g~id>ZQQS%>Q+n77f%D|Cbw#1UAAj_&dU7GsSb#4cG*5=F8|~e z^?Kp4rxb75e`6|a7m+W;7tsgLN3PvXq14FrcX=M%pYcMs#Qv(G7Kr-FaA&N3S75aE zCqeT^m3j;1PB1|{j$WlU#$+uWSJ%yOIfwR*mh_Ji!AExWE41#V-!FLms-;n7n5}kp zL1)Jn{9pV5n3yoo#UGY7I5fS>p`ext>ovVwf0(>dA<$4nBo_-&Yyt}BJeu`aWMK)y z+3k{x9y5v$@kJb#GV_@w4Id3?(Ik%91>4-M6MRY`GQQKX*rwPp+f|=vfoL z(MaGTnuz6yBT*-AdVYAbo|bO^8&n?2%ak9UGZX%o za3#WyVEQ}_r0GPlw)Z4_W_H)=$KvuAUr8fDdj zPR@1Z1Vx%^gBkWJNxl~hOW{f@FzezZJumxPfTurcu?qeHGG04kpLXe&?QdI+V}HFQE&wl{byuz7J`yI zw$ySZ+fIbW;dfaIT#ngX{L5Uh0eJviyVd;7I8kFBnoNN$Q$@=5X*s(I@DG>pu82{zj~YI`&1~e+vAUr!Ax0no2G^?j8~G~Vt$MRJ)ao{|*ZD2=@;k+EG}oR%bYdqY z=6I;|nVp9@VE0nTu*&g3l|mrfs~msSfKAk{;AZp_V7qBKeTGCJJd%jN$NBl&Q>E-OTw%sh-jAXfxAv(pb38! zw^)BJZtU$}3vYgaT@xYw+RbvY8IkHj_k=h`3u!=`^I6kqg!g-cXtSj6kmjG+U2MwB>(8qb1wr(r1~ zP(K&_g1y`Xk@U2$m_?YPwevac7X}qI#|&ahUmpDr|4v6q$}6Txjq{b4@N|( zvU;pUlX$Fdk~)GaZt2xLARP#K+KIYhV2k{8WOl&r?PCMg86y#vS)gXM8lTHCHWLn~ zPxBZ42=ruHN#*TH;SHk0Kwye|Mz*r~{}|vzcSe_kSQvTD(U&JFER5>PgFp6-0hnuy zpl{@VBW)0l{{T$QpY}53EX_nm@dG)gA1;GU%P-auLVnmXY6!S~Se|3^2LZS};Caq9 zt*963>&Vm<*d7PLgY7@tP*R<@?h6=pzNB8wM^-rc>=j^zQ_!Fe<7>$`P)xki%ZwSj z&E2vMdWqKum485Tx6|{-_90i*%`RK$ED=Rt-(`uD}};d**1x;N_A{j`%D?7WQ#qQ{z7V>|6( z=kmjZ{n|v{)z7`)*mYfb0nK0br=2+T?>LCXcPQ#gsMM9t}9W<(q9F1iU2;iVaP8U*NRbl8!@`}9)3>*U) z*LHY0Dg;Jdp#u)TwX}CqltghFuG~yP_WKr+(j#G_K%Ze1VfYrF3rk2lxVr2>(ojec zlIfC_%73pqBt)FVl;4wz+Jb&jappFY3oJszd72+fwfDI%H)cZ$BSH|bNj*aZq;U5o zrX{kH17yT&X`v@VW`v$&kQhMt@wZI&^P^7tj`jKh)2dix5XdPpVuX7GvU>Fkx0~mz3wc z@KR4WrM}0mtWoU7Fph|{+E*1s&w?)>TTrUm^RUoN_Hph@tUi0_5g8{3=rxNn z))o(Dyj@QJy4qgudZ#PLRB87MiKqRx@+~r2kCb61#|VT_(WpPFc?q*)o*6szxbiGM*LM9AI>(l$W z)i`0XiAg#oS7_HK?G|fU)e6aILkr()d{y6Hap%cZHXBl=HjrAFs+m?RJ;QPic`Ei5 zw6>TATaYEMJdVvyv9O~lp?KZ^P!bCAnD~dh`fc9;~@cgPem}d7lBw|`E;#) zh+8Gt*G}AGi2BoK0lAYuwd8hkjGRW6H+Ws-six(MRR@nU$I-ODu@qkRZfkS0my4tI(01Hc!SsTA8&8!E}DT3Wc8o1 zD_Axoa`fezy@+Sl^EE#+-rCa_{@Rks6FrMaG~9JIX5XxPNp*~g5YOB`*7~Y4QK!y< z<#AI)m-qt;a*yotB@M%tn&ZpxfLdQ0zxyZXS`JJ5{WYrEho3C@amw{aSp~AP0$Wrg z0XTRsdi{EqbnA_p&EybXm&?RCD;b6&Ng>Oiv^tn1$k`>*bv0xAX1mAhMc+@`3>nr2 z$-#0Vr(16D^nHC^CZ935NN(Z8ujT8;RB_XEdH&;9zmz*7{s<4FF@TovP_u~h!tPwY|;GsfeQIV2!{;%<474ZJXcX#3) zkAjLZwFg8#U~{4%`)YErdw*Gu8Z0SjP3zP)eiax67pN@<=1a~#9M_7>*O4v0Bx@c1 ziv8El5~?)YJY^JxRezEWZ=5wTvQ+-OQB%#Q?s;?p{E=|(J%BQ>SJ2&eiWag*Fg6dn zFJ}c+G0>`Rco3`Wb7m?km?r4>y}EQjn25h{X^~xNzY>q0WwdXTBail50kxsa*Zb@w zn~IW0GUb~=v`~kW{qyEPcTbFdI>CMqTB3RdZ%QrVx(C21mf!4djtF&qw0kK~R|$Le z_RR+Zh9@5r_-lQG8C6Qs+o^GEVN8R;Q@957&ypwVCp&RDTw>sm(QRb#wv7}Ql15C zh+%uCWO1Ypi5g^d#Lx}_V69I{a0RbFalse3AYmZjUINdAgd?Ki_d@IWqF(#Zqeenq zb%2%(XBQ8LBqR=E_nK?JD6?#4al3}1u#vOMN3FXCdF#=4I|e2IX>z7Jt{3EXWYnK3 zyYo2#0javWvZ7v|fux#&LjFR!m0C$K!Kek;8PiAYUaZ)-50_riH>k1IVoyslttC&t zyWVxe8KAiCNL@-o5pT3h1*Ql-+RmxUm&6W=-Q1Hv7Bc$w3I5Xr!@@u;UIo%SEu(eX zvgXJ9&=aM2wf*-|RQBqRo||Qj)8aa%Ct@jS>6zG|x7$_dW) zGm-K*Ax*SIC?KtWoR@f*qcXA!FstE1Vpb+sT?~Or)!qlH;6p_b2S@3ND9`C*n;%Iu zBRivLmnh_VmE?@)uBP3B9p@cQsqoJ2?RhVW;UE$jp5Uf=AXd-1Z!Sr%vINfzB!g0K z4qRDJezwfidB(A4TrSWXd2}i2cxa3%cPXal$q6Uf13hyVs2!Ich@z{n=#`@{sf7mw)#CgKhZc}u;)6>k@m z1+ulS%et@SjJUhCmaM8->=wd%h<0ozTTJYIl4P8vw@y`TO!M`KJPNq!mG+Ho^KD}j zl?|DkOmnE}eRIs#ka*bPGaVm7DPXwvic^xAeL6M&AGq9z(jaCW<@18cxP8|6b z!YNOw=HN+lr-5fk zupwkpK(P3{?L!2wWYnrPhEQJvVLYHN?8Np>(d#=)h)xjOX*I)Cl(bSz2zz`}8 zW|z&`Be!N$84W(+&hx?1#HA|)y+)Fzfr%8aIS_)FwA-(3Z*NxYmZ``}0+zym;2Q*0 zJzx#dBwt<(bM{09ioBu&82n`uZYz^RnC_$XM#P@5UHOO1rTRJ;BG`o2UTyHKDLZI? zv8N&8a;BtcXvN)TC1Ml-{pgJe%gbZ;BiI$(71S(mjqz7*eShQiHd99bljahIkMhI= z627%FkApWd=dm0^1b`VsjG6v_EtCBfsHxy)rLNNZvyVV` zWB_QxE=j5${};UZ=@A;G3@eaWOvXcMqQ5Rwp2P5>R}1Tq{#PsDKlb6|NEOmjC)Pdl zYaOFtON{5pzdfS5I{oTRDVnQ^+(8K4m<>pFE?>HppgIYFVqQF&1|bU<^0BEeFnFR% zdg*%FzgGSl{sd31qunm1SNoC@mcB7XegJN#=65hEaM|Q@-rs>I-Xm_+Qi)ni&My~E z|NIqTV*T@%-8w}i(R<6UC&$#U2lC~8Rtk_mV%cnAPcNVslNt|Bc(~Vc&aW z`|=?WWl}jYTUK~sUUii(|B6S>F%m^-i{MR=bjaFg7>(M|ZSbp=0`lG?+-9)zqo~3W z0Ud7OVABWo1A|ScmbGL~!u_3Z3@vWa@zCWJ((t-*r1ck1mEa zqT$0{G}$8R!7>A+&N0~UoAc7u ze~H-Ysn~wx=dS^ujz5gX=?})TKU$o-?>LSo?22SDUBhFh?Ml+5(LukWtqIc;e$;H5e+*KP?fv`8eJnek>H)t}S_ zydg1LDqLiDB2O*hZ%a2p^#})IkOwlvWmt*R)y@?e7x2lc-;npt-}K&r$moqE7bap zuq0qw=R7$n-gViW{60=V9(1)`p!e=7ykWT6z>xu%8*>5}Al*hd8*nWOFDz#{)Jb2` z!@9zr6(^IGZAle##ptHYcK{cB3OL|YTpH51L`N7n$Sr``lYgi={vD||(e~v4qfn(I zG%e@4XBWLG<2x71}JW0tGG&PqAJbnIwy~plD9mU zr|mbViNh<|G-9V22-qkK*%t@rN?MnG{}yog1@F5H?_*~TjbVv-iBC1(*f74a^{i!j z&|Nd``W}#iz`F zPx#1(mArzJ&RnZJh-0yfo%O$;rm`^U@U4i$w50j|rD2un?HzhNt(sb2JE9%XZ+#W_ zTIv;tynMd?pR74U3C8zld|VuV33aq=emE<8t&>dT=m|-_vqVCJ_h*iU{fFBjJp!wYg&>YZj)x6ZWcjr3n6{IZ; z!hYJxcO2SYIiBH8oK#a1Zp}sVQxH=IGjKx7cHXslsg^Nj-Pb91@CuuoY?Gac>cCHH zNTXa-h@y?!&;K}5&r-!8R1=R+vIE%Gh7#qa@DeY|rr}5n%?H%nk z?}!<((iVVQsRq?ZK+|e4_Nxvrj49379ooi+QtWy!8+DdPe&{Uoso%M{>3PiyI{~fW z!E$#&iQv`N8owp?gyjrC2zC_<-IC1jFdpa$0c|H9yvn8KmhlaZvxUQUkx29Q!${hf zUh~rnpxGY#G`lq0na^!ne>m)P>~w5t?b9U9hFrI}%{PlOi;0#@;}j>;-l>nW3o#k^ z3O6=28c55pkokSRt;^}=#8>brghH$4M(Yo2g9146Gew^Lx)rhnGb^Gj5qpEtBYS>} z>zbU^{8xG@ktcM%mNjl)H*ncbp3=hOMcys;I~GEOdLB9++#phsMjM|eGePx=>pMes ztLV;qbHS!5rDch0flciT^Lj)@Z&=9hEdESq!d9=;Q1@rwD~mH(#QWj?=53?3)Wtc) zge$_(KJCWaGe*Hf^>TiaKger+rzV}epN;41w(yXkY?lLw3*&FS8G^UNK25(=w;NDE15w|CT5o!Try8*Z;?1>3f2x@+MF} z!+-c5_+O!TL<(}(|I_#BQx8S)$F2NhL&g5r3jilz66L@7KQ8;|9|Id~E`x2iCqV50Fo!vL7xUTTId?Ev(|Gzw& zf1QCyq31u{ndtxfiekr_wrFWsRi_)JI4CEGf_dyT+p`vp5eI&6n{?l* zTiR;4<*{0!cRi10{g`z-3C1)nZ<}o3`~8wjOG(zev>w~u$Maz#U7GgYhD#~V+9gv?6NYV5Z=~{eAE(9E zCR&DVMm%DabLbv$?W?k1HZrH%@cu_qeWrgEphEuP2N17B|DQ)Y^W6|>_81KxsG2U} zUKdyI0#v(%!l9iZF23$?dV)s@EW=!m?ugUzG?f$D`M{<3`xd=;X`Ix{gx|>G7Rsfs zkK|sNqsn4uy3zR8t*REuOU8_n79o2-y{~o4@=Yyt2pmq@cjMor4wtUlC<~{us{Ccq zaDK2<)NsMFGS^7VX)*1FMSX$8c!8?9J|DGQ74NH>IS{>;Q`oFwT{q0L@jZwmaH}rF zj1~9pA4!t_7(e?b1$~nz@a(%ExU3@Ly278o&o?^+o~C718~^3m9&vOUi_ABe(xi$BzOZ~7N%nuqXKq1s9H|t0+yB}ooVWy z=%+3t(6R4ahcxdvB@sDOxFg)UEEB*6v$fmN^rAMzkl~_IHxyogOh9}U2m*9aNL73QP#83u>n6{w^HkS z9xqbFK{ua;3U0nN&b!#_6;b8c;NRMP<4EWK;pw90I@5XAY;^jqziWdx?>k^SQ$1ly z9J9Uk@%Z5PBl+m{A0CkU%ZpQvZqL&V;~OM2ns4ClA}$+cBZ*=@HxjJtkF)a&H%od! z5`!}g!fyMooM+$_35Kz-IdrJd?#Gg?`qRW9&iYZN=|tuN1(MN$TM>XZ-42?=(w`65|D_|{KR(Vd(P9>;eKAqLE0JIvQ2n*MRI z`=3RP2#)Z&g9E<;hb8yJ<>d$k*Dxpz?_H%q3}cc7Ixx}o7a_&(Rp1dE5_I++{k(+w z-Fr&875OguvEA!?&~bimk;^l#&DmhCp2tP1HIdG)!{t66|MxXopM54YX?<+$cH3K- zAkFh6FM=>DJG1_HDaq(y%$QG_v##_sYO7C*k^Ma6!vk!?$r`I_d3I>0$UIO*tXe{- zma})TN6Gd*rm<>zx4Az3#G}8=cKvn+Kl!-DBEQHISdqOb$G;ez=dB(%d^)Nh*6e?B zut8OngZeltFypb8Kmt1YDPHHf5FyzGY=)HB((iC!Jt` z6}4~{Zp4m^-SL?9rRe${@JLHVtHz0^q?=cx-wenZYYNg1#&Co-WQRJHs-UnspNaxO zAz0<&vfIwsO{yfL8>?Z(Z>$)J*A z_3Y?;EpF5;&2Pe@B;>eNT(VZOF3vvyM zV)RIm^&VHRkpBK*kKk53u*EQJ)hpj6x^OwRam}{VknXCT4%VXIh0ovlBF<*7if&T zl_yzJ#L=ryc-%g=QS%V*xcr`0Q1p7&59rgW%02WySj*Y{mk1uv^juhz_=#KZ|i~BHyM*H`@$MOZA0w#cR z#21a~t&o>4cx({?65<0LFGRJmJfp`Na~0Be72&+E-ISPn&=I4m4dbrswIt$F!IxTq)rGo z5D|(ov^>8jSsfcFMKfZ9IKNY5Z%#%FBQzr|rx&Vl4ATO-58dg5EH#R`^RncM`f#(J z2WfE(e`5{NQ+kE*+D=dv9k8QM>9#Q%)=yvsDIUA+OCvg7A%c8BP$<+=+utZ-T$}t! z!Um(&cQE0g_;9vcDq$3`KpKzjUlRCV4W26pwY`%Q`!*yYZX#bo(*>z#Q>kl%@JN5P zh3UKAzE*Vvhs9Cegt=%tjT!djP#cGz;WTJ93A zLud^iKxM3IcO;B&ub~uz5S`VRsqUMvTWP&Kf)>zos246VJ;ntF&g8AT=WF8g3+(b` z^5m#MWv_0Yk)s!c(lC*O)xn%+KNDK2q~kaU7u)QhxG5m^gvSMACdA7UJm=u0_BWW2 zKWP@mYQ^37lLyb+!Vk!u8ksQrka$I2&q13BAe6TdW@(qF*rJBH{fy?giVx+1=O1IgLXRIa7pc5$U6qDCKKTH^6Xs5Ccdp?Xnp)Iwrn}b12i7h4U zI)=_QnF`IjpWNJ^b|}Di?pYArIoSp7WaR#j}3y-9eQp z#j>#vBm+3s_Q{|upVmH5$I3otKE+&W8L%tOmqP0OB9~p3GK6kV#0v3YbiB@2DrP*1 zqbeQEeW_P#cVsBEU1rHmk=DPDD$52eZ6~*Gk6$ZmG+DYd<`x z=gVV~)^w1vvlncOF_dZG76JJSSa0)>qGk-@`u_4c&^8p=5++0p+QQ$WKulRusUtQR z&zD8^*d|O>%|~;c-0NC4zX%5-D@nvsrBDruG0F6KA-atJ*a0F>wC z(*05ldN5x|%qflv&^hUB6cigZlMJ3OVj-@X< ztSVV$AGmHlbx=rN$cmD)Q`(<@`YSM-CC#?wiG+9b3!oQOR;^|y&5_y-|1sRGTDE#! zHb$%T>^1fg2H+zCR;D5XNAJnlCkCn%6FM7zHywV( zO+l?O+G6R1_~N&qU!4Nz5&%58$v*H^khJP>yNM*s8DL599k=noyMA*Xe%Vh4LCp8w z`$l>=^Qt4oKTTe*duAN*Dy8gYS0v(Dh=));P;sr&;_uK1RsM0YYf_&R(23oRF!c%k z?T-~swH4<_s&$sC@yA1xJ&gS#{b?1%Ulw8bkmKJ?www|x%ws*^U_~u(bc>uyXw=tb z=TQ-?UZXf7?9oeT7PZ&*ubUyUyGiOHr3m}X#0!SKXeumbDa}G>ygb?$!|=IZt-aTJ zq)=-xviTG_>{VMB)8}RX%ln2EvhHBKMcszN(z{Ud*!n=vC*oM80=ev}u}RHra*OJp z+cxs&!UkH^fr#L~iP%pGaM&TLeB3M#<6`^e61BfJ%sPz&K=yB}DJvFLp*_C&1DI?@nULD&NsWQ~5`(q0OykY?6HM`wt#X(Qz)38WznB2}6IZkX57^~8D&eEW6E z`#9S1+9%#A2c?pwMDxTD-tjgy+FYYNL~P*RV(~z1Pl(Woh80pH$qNHw-cF7#$@s#X zFj6i33PbkAbtS`}=wAD~s)^B-y-cI0BShe&9qm!{ZQBkDf7wEc( zQXU63hUv_}fbkP7W+4sJVt1PLIF2yu`*7#ouXkmP_xq)=v%;-$`YErEhqGaBam)xx z?lFU?X8$O7?y_srB6R>&3(-GI%ZtwhrCRq`Q@)5w6L<;~g&L@QUh{>5--)P9-Vn)? z!e_bk&j7Rq3fW9N9Q@8iTscj4RMKa#IQ-yEuh8Dna9|v;%s?t-y7xJ9DPU?;Zw4E9 z1j6G_B*TmqIooc6v};hG0$N2#_U^=Ip3QhkSye4Ag|$@k98;JZk9)%2cZd{DYK;E0F_oGG!ID(5kIGFl_-WhL zB&*cQa6(t0p?SO+Am{(4?A`}r0F66+Ea`^tjlTYFCdQOp+?3Gd#4z4z+%!j4I@UD} z`SE?85s_WBW?W4$@-}tyHfT5$$pFN+jfb?Nu*N2#^an5 zk@{2WXC(){66$;fNOa&HVPaP%o=GC4et$rkirHFK%TeW#r_F7+>B~K%F}c(v*zS;^ ztZ?rHa`|K3>Br-LY}OEZAY8WVc~1yXU{NJJ$uOFYwP?;pHoDHzzL7});X=8S*cSHD z+TeGr0(Id%0G3BYj-1Dn(rIS}hYv_UsFQBLN$YW+HrBcg%&;#`!J@>l1(d`!8Hv8*IUdv`?J|_dC^1og*2_*UH{E1HGV=Pjaol`AW-~S z|B#1rV?|f_&dsD50KC`daDCrym7#!uTZXau(=K8%F2^u;^3I_@R+kc{!#mC*skD1e zY6#P3*>&cBBIsn1Y_J%k8ah%^_?1Y3S*xTC05E!?0&7fs;wMSg^|r8GnqC{W4#MXw zJSu$BUgPf)74T00YBYjs-z}*b(RNRmux^<8_`JTET;sQ+)N^&Yelo^;&|MJUm+uo( zX2M6t-dSOayX>q90Cw;8Apx2Akt~<3#o0GR!^muKAme1L}#FgG!2lzO%&K*1;zf8YKJ>Rf@1D?KdPWiEiwe}GMNuhwsG%~&k6)52yt z7XP>IKZ;J`t#mxpZQ6wAeNMMle0h~MrN*2AsW98=4*)3~`}5DG53Xd?@)^(5q0(77 z@uGV<-KYBK}Amf65!jguYM8J@bkn}H=qvJ z$W~no_i8Z{7qhA@QiP3ZyDrA$iHA_}^-u$VaHsgG^WaCMev z(94T+eb&)!HQ|w_pNbF(5TKIckUcS|9YqH#S_`A0T*akt^r1}K0a&W%zKe2#8>Bb6 zA*t8yz5Pkct6^1TSj#~ye|*aJk}=ul9nu53&7kET1D;-%K;ZZ^PK1t^9XUFBb0}oJ zF82rJ&y9XTXsNRv%iQQ3kVIxJxZYhJ?lqv2wzQv){oeHYpU>;|CLghzxY+S3HAdhfi=LvPU@6jgnU$O%N~GZzbyfRSfyogGm4R>gE}BaS5p6Q<$&3!8J!fOwkjzic(=|Jq<#As}ivu?&U59 zFTV{L;AlA8?f0e7ehg!c#<_>?nZ%SY!^Q84-*7|{{(B@PS9UDX_PLJ5c zdP3b&{0-N%<6gR^Q~-R%bmP-M8T%>SGwDbFimMsG=59^*Th(lkH+*#Wl^%x#N;A&~ zN*(Ri?DYszF!c>|l!*B!H|D6hx~`MN_`%51^GDQm#Zv^GIXVp|EGt5gWP07QWtiyx zUpHx~rHUh3SSA_8vj%dcQs-TPIPv?+sX5!h0g*I#8YqbbzS`zYqG3Y2ZOU?(#5XOF zyvEGvFWnSoIg^r@-4ao;RD*|BBs4;!#_Ve2Ow$o%D>57J<8`nCBtdWoCZ^IZiPU8Y za$m!QB~t1h$iFnAy@j+zO|}(_h`Y>FQTl1+s6DZfrF1c$x&0H-$d|6#O|X+E7dH%! z`y#~g6GvP%R{0}aqTv7N+8h3ON`E#cZV-5feh>w{;JK>`66C=N22-!|k5X7=w#{SS zwIUlXPCT945nmeGE_Ju2>$;t0V&2O1+RE9;IedqV`pT}ie_vYlrRGZcnyJ}KH0Ra zA!TiHmZ2&~PpY`XPkr%a!&SS2_K!4x z(E`68t|Ljv1o=!(h*J!w5igKqc|GV>AS&UMpDk#B^6Hv)-`c>aEM0jpNWyHT*gT=S zp>ncfC8=(}XbMS5wIEH<=nudd=P-<*i1iNE3W};l%w5eFE)|Kw!7-?^VB=AKLMk_) zL?>^FF`LvlVxhJgjk~*=aSb2N1H#nGvYBj#0b6LXhvc{|=FO;jGbQ%qxjk3(R%RH; zZp6RvL5eL%06#&;Q0Kr4Iq7gSwt*_P<@=s=Iq*7y+D#OHiW!n=1U> z^{>3wKJfK5ih;@)0Z|@6@zKAnOo^y1Mj@R3mzxrx#Q*-&x%5F!!#}pfKMz+#ug4S2 zc;84W{DqxI2ZBcT59*mv{9!7PfKyB4DM)`qoPlRW>LAQ0Vq^pl|Uxb+*klPCc|DSZ+Q zBBds0A|z?XUJ=LxE^$ybPIPO+X}!3${OvTklcsGmnJsN;sIugz$e%vUB>$y$CvBH#=n4BA_tI%^7DT(!OSQb=JB;C0%bOxL-`$rSkj zbjc=Jo3p`HdfYL=`6)_edZj;8764S;LVI2M0?wNj7?|~fs4arNd#9Dwy8irN;!Dq}cuDlf_N7JO zlf!~MY1j)-z&YG0284=u0J-r`%W1d*BLh>Law!4{SH>&5l*;M&gku%3lp6Q06z6GE z(8bX_xeVxhUx~|Xh^eHLqb8mQqt@hcd49+~z}*xIS@tpy9s^8#19BY?Tl-$&!_uFM z`IhVtOEP62e6mQguiQWV(f%?i9*}c?!Aee{9Rv>92}Zj~vUNjMI6x_nFRDN35CV|x z5&-s{xLAQ3q|H3Fb0;q>XbG`0Khx$dbRGhh&P|NJq|4p;vG3lk>(}?mJlFDaoZKm2 zYk{GFC-0n+V3wcv1zJqxy+rp47(Wjq)O4BkH3BFV_f@(i0ERP|*C9p)`Wn!q zQ;t`2(z?7ZPiG=c5uc;lI#e*SKrb(F1>8=VnR>X=o|IG$g-!q|DoU0YW>#(HRGx#i zJKCOI0wQno*eKanq6A>0Phc;)0hS~&e?03?O9}G^GKqhaL392E@eGiGKPVj>yE6|? zP94$T-NF*IAK$!39gpOl<`^!2`+)U+TYzY0nwH&~glw}A;4c;PH~~DoOHuOaB2p}= z{e){wtUIvJI)|d_xuQGI{POW~8ecEy6nPAoGF`ytw74?04{HLFp2!CoYF}SFcTZ3i zWWEUi^NFizn2nuG+(z{0?DAEtAOZd@QpRTt2_FJm08Ufq()jxUvoA)|Ue+EMBB_oO zgsq!Y>m)LT7yx1+Z^e{T((zmnXR?akYryniuCfm{@Z=@hpttQ_V+Zm zHD)egeuCmfB<)Dqi1x&K%~rh;A_i)Ap+)Pq^4xe)Ef_9_kE*l<0!4YwlgVvAkr+W? znID4J%h3X_-62Kvt@da7PYg*`7{xq)??-xmS2+oRHw8p9Meh(;q7!-H2@``aA8_wi zUByKDs@=p&1eO2QO+;lx2lrm=_QUep#uat}KkPAVJu3joU&qP9Jim|xnTz>u>dGxX zO-!U9|J^1p&XiCn@(v|;uJ10F42n5(7k_Or(Y$b{;4e3p`ziiqO_ra^-o%i@Q}kVR zU0;Mit|cu|4Wlrh{PjLXV|g1PZ09_8SxwD+b@W&e>ct0 zHo(11`+9lQDv~_Iw-Kk3Nb`{g2PMh9!W#CKoRSAIZC`IcO6CN`Fh+2`D58cqY`89` z@RhxV6__Os0rvDfDVXR3ed{qSyRYD$_*QI@xcDyAD^AM^MlqBRl= zK7lkcs|9OkbKg}H^YWO8whCZ~wNWYsq9|{ikzp^^A((QL@+M&%Gb54BHX#1hh@|MC z+cXR!#5JkV3!JK+dGou>FGci=>JAc?xGk}6%m1iyx zqKLkPmA@zS{z4n`Xc%R$a7?P16|L+>vuykHY8oH6Z1FB9pFeJ5(kruA0 zy#A{Jyrt->Ss;chByk0~uV@#7juUR@OMAE1l9-;;Flte%*iV&V-~t8+$0;A&YjA__ zL)gyMe2%ub=I5a&F%flw7LqYKc&M8UzTt7I=t zwKeCDp9GuN3eJ9KOSx=f6QTU6390-J=c|YO$1-z!?UrGlB>Tu*l9KklS1@CqGY{GV zSH8TZ!#86_2Rb+fgy5I6%x`fHh}Uwa)uTCV44dKQsW@tYJWAzXO`Nft6=LKfp*s zO?5zYg2G5~?HJvh775!zH!aX;96LgVbFS~ zRPr(~A@fl-GeuPg?wH)e!anD4Fe@-^O&gjC_#G_M(5ZvjH)!xrCTf3wTFq4KmGK+ltpYps7K4&8YGYseuqOtxvft-G5)!jqkvd6zsgFBzDrdWi#d7>)OqKv6N94l$QJ6FZk~~E=9(M?Jf;Vgc$F--M25` z4n{`uqlxbDk)NL)s+N%jI2Jt!%T(Dm?lGTos`M~>&xEP-pD3EgSlhbfe$qO0IPb}) z1)^;E>vchL020k*rRw4d^QznAYul>1IKj@>B2u+HzMK7()b)39E(brju0vd12?t2?ovrx%+VUZb`X9Vj&hjY;|Qm)TN09ve4BRSVBu;-Ln$y)2z{1zq;0j$YDW z9>;=UyI!uc;DiQ})x#;z(m*Jnj>Tt)i0pS+_{bnGdVH7bQ>!e0*0g!%S}6LRw>?>< zj21c=)sIjK&d%<~Y02a-E}yD(*GMrm#5Iq1|79q^Zm$qC0j-1ki8qAv!Nv0?IjO)a zh<9j{Nx@ZzG)XIy2%vSziZ8_&CAc&CB0Az7F)*zs5QvF}7q3YGE2GE#67uH}Ubich zR5AffDGA7W%9;)1dOpkuj2BSSKR}XKXXSBfB3}K#Oc6D#Qz&O)kHiQiWVeqnkiQ4HSD9`}I8FbJ`!ctJT-*BMk+$XZD&^&COM zh-qZINa?=`O{;iFXu^J&D^#e0E7tC%IaxuRCYG6njeX?b@Jc$93{WqssofkLW)US3 zT>nw&H9LB`m!n?KnC4-pX_Yr~4gP0uS$kJsx6H9%1CeTM_LR$uHZoGRx7)0tkTr$t zB>g^!c=ejWu8+OTCO{D`cKo4J?%bgl30jM5O~rS~S5k{`9)-qsaMIf%fom1-dtXT9 z`KE1U_BdZ6qi|C%uv>=cI*Tj$B-am656p5SZW1`YO!sHM{7k{3qm1%u+iu0Z%G%d9 zFnkuo<8=m1rtSN`;lzn%pSgVkgO8qNb3;5=%}Y~4A2AM>S9~3$Sjn=J>Ue66%8erw z6lUxxAj3T`%?@|ePlbT-&2p|wOru-meuV;aqZ$fjq{$GBTRq>T&HJGF3pEsZI*TOO zg36T#Jvc|t{Ms;qMJm)M+7Epl_uYSDTU?DC+-|!KmJ9LKc8j7jmxd+hKTQ#E42*=* zA+#Sy8ZuNMj`orr?zwmJr)^H!_l6ie$lyl*maV_flv0sZ`s;~Dd0_0U>$7GvCZ|OB zBuKEC4fMjdc09}ex7@FwLvwNRet~TJ8P;?U0zpS!j@}ywwwQ^F_*n3kYkn|*+8Km^ zE~*s=wmI8rZFO7+rj2{RtZW~a^DkG@v8>D&&FVO;JXCkBX515K_KZ;@r6>wbYxoj2 zia?%LY#+kTnudgQx+b?eDudhAth&rhYmP=&%XZ>BA%e_^aVVB&l(Ip*Y&WkgP^c6T1m5INgkVpF*@k5;o79=)4E{6t}DOT zoAS!rz^8#dSKuT-Xwxuq1!zOgd=xOu*}D7)ns<#iUke*Z@khRd{5<0QN}>xc zD4G_?K7*hU0i@a(k__n_f8NV4v9aX?@QgWWY=)YbPoW&l6MQ@NrQ2w1+1=f;ocNB;)>%M2kHQvvb zF6_+jjALf)(xWr{EFYIGbHI5F?8>I%0ckC!E61!rgZ$2HP#|evz3iGK6F~X2KSa`r zf8B+7)f3VZH##J~+hWfL?6~>ua1BmJE%i%{;<;&!+Z9YdH!Bau&F2p$at{cl8Y#?S zE{m?+WXk&ucd@E`^)14KHhEZ`LOw7o72`(Zf53EtN!5qG5LTV4OvN#`dLohh zQ-OW9RV+p(MZpX;p~EFbXhNe;KJ9M+Pk8Cp(TR{U#Vv^l; zl?~Vzo7s~F9S(PJuIra=y+n9&YB&$qo;$`dVR1ssn!rF9#l%Q&~lUTMLyE(J+G@TQ8Eq zy4=T{gn7jsp>O3eF+y94!FtjB7o=CE6kK~(0d}t zQuE1UM=_G~avi^3drSp-CZ%(<*>{X=Cd?)cqk)}z0ppyw%8GXcAG}FSf86utl}K04 zk`Xo;En4KTbF8Z-1IaL8f5b-YaF{=TQp5_$iWYy!yu2Q_ainG^&iPY2>+DA?hi3_g zwD{uwLy6mmr;Uh|chuHkMJ1AmFZ@B#f+QYKF!`9G>W{k^g5N8g%x(!kFcA{{3mc`Y zM?b!YEhq-Dl)rBkav-4?3sj5T_0<)^*o!F{+8K z7TxV+W+6tyeDBOPB^$5I(;(zx;P(wxn~{9FvXk8D81zAh*y||0iXlfsEuzPDpN@r0 zEj!#c5sN5;v~gAh@&W)UZ-Z%s$JL}|C=At?zklFtf_yd8M9P;`5{b|EV1){o1Ollb z&EQnaqSBMvqF;9F`N!-XN%9Cw4}d@iJD$$=k)JB$_yi&?;5$#m^NLiEzOlth16*X8 z?m4)fltherX3e+0H6PF`YQXOyTt!+dRG>V48%jVA4*>ziYMp!Hi_olJN0IW``O7eO z<*MR+OJc9R#Mv?WEo@=g=3r`0tQ+sP-ua&sm8hFK=3*Oki4&`%JN~bAyg?t;%=Ifw zjX#nmr@0PoV5KjaS7{UVXv7dN#iceA5i}lhyeqktdE}aI;G4rk0Tl0W(}p)jAHGF^=}!l zw@|HFmAiUyixU<7bIGa(7s&v!%UxwUsc!!>pF*NYyTa&|%DdAG(RMh<=UB)+Kg&)# z8YXx#ARD}7o&gX$8T}2&EkBZ0T`gCnd(YzI0uI=1a8`8b#gI&1ef3weiztF22_rtV zUpT>g@*KU{m;|(pOknhP$mcae@l}HmJ^GSr19WJluf*$!FG?6yUKgKvl)Yp}n|ia3 zDuhmbCNUu}$}TG&!jG+r%ljT2koCCV;bBBON z#}M21nKX!A&ORkJZuDbb-cIaysGgSmZ(8f z7o)kvZ&Y30^n{_kx^Yjvgr0ZYB-7yGBNhP->a&?pyg_UOxUCk~ncc^H(Eo#aZG8||F2JG0ymQ8Ki& z$#KbdbCGczYujzPf%hh(^V=)gJe*k}D=cj6vp#!^*d`ecMfkmwf3 z<4(${1LvKmLBBkL1Kpo|%Td@*zS{5!4U6FT~a=8<%l0d61T zzOZ*EzC7DS#@*sf6j&F>2qChM%ma%Ly;NirpJ3)Yah-Zf6z4l`oID}2n2-x!=dxj_ zy;8}7k*HVVI|lL8vvS07ctJTFEgJq%3HlMnmfd)BPcON^GH6$-_<2ybaT*+RydC}S z=P3%^F{@}c<|Y0uyRiJ_83!nXj!&{yKkoUQT_uh zRXqk)&aGBXY5rlRH|S^$wh*M&;;AZFTkF)VpPdn1SRyvu1v*`yj|4whYt2?%wyokd z=AX_j=bPYB3s%WIIyx{Rs;7Wcvo3x?Xw&}kI3H$noHD6KZ5p5am?KM{PD2-pc+Dst zpRg;_Fl%=(pLaZ!H@D8*Qbg^nM_{ZQicp%)^>wDw%d)h0hl@k1A9q(;#7)Fz~!zqC}=4p9^Tgah^+sSH9j)4AQpmYrN2|w{fcH9=^ zAq`2xnm@)X(yWrL95w52mKnwN`C7c_jc%vA*{>~L(3VMdh;r)wyx+j787oMWZQ1Q8ONKd@I84( zAs^U7%q%(syhyr`@x^kgfi*^ACR4c~&P~Yu2rbP%(dej}f6lvGEf^OqvH3AjSY)_E zb$J7riO@`!fLmaYcecVRMqRNJTIN&r)D2zsUHiXa;Dzm`nj*>0zO|BMs=!w|C~UWl z<Y>VK6AD9T*GHT30Aok4uvdKql{h zSCpwW%nVhfjL%U^m_|dPAKF*2x-_uc9b0i92D{E(A7!`ePu*k)zZC2hUk=Z1rFc}d zLP|U1e>KIx!pkE(tt0KeS!HZSIZUsk5Bj7=Y3^lpf^IBlHVOD}ypUEJzv8CUfKfL` z<V`PF}<7-se#=DLZv8|e0t7uM*V_no_~^kwYK0um6L z_6RuDqhi8J@Q^xZhHL5+$Hvqz6T>~T=Ze{2A-Y)PH#%`y)>^-=^1EP{WK*1rL0x*S zy(kiNG*bfh>||k1E4_k$AMgm7mhl0R_seHh?)KJE*6=2Y=0<`C``*|(IiIo|G*JW%df_w-`r8l%xj;n{sRp7a05Ps zj>7IG3hd1yeJcR@&>go%MjK7nBF_pH23|7`4m*wkB&ufNq0FkJ)*L2Y-I~%(HOUDPoEd+Aa<>EDA9n0+U|7iZPz}w)b}PLqH5fKUQ)A zer)!R0lIj#1D|*K$g5Yu4yBG)w**gw9|N!Om_g6wVg$UDxXK3PQfM_S%VG*-iTVT& zs;8~~{kH%%E1OVQ?MFS(?e2(PEfJiKmEb@Rv-liTAs>wRuTanS1EDVUT!DQA{W{+Z z27wtfBbM7$m(xk`Ud*IvKS{gexiFDvJXJ5#(BulcA)ZyVRPrryx|u=pN(A3V{G z9Sg*n_w*_$_B;=Bvz})8;$0u-yLzME-DCCX^?bVfa^?d~iW>N(xZ{D+ zXT%-hwcJcS-;nH_)uwjSsuUf#rwSZ2?x^4oGOR=~Z&i3qs`gcrbU0x;GOyPJy#c z+cw`#TATo9nYRpqhp&h!{c;_Ga-#Rc_0&85Y&V1QWDZtYwOH&nfKlK%bURvApOobW z&s|MN9Y8DL2+=MDsC*H)pgmc8`7@jJi|IAw(7rPwN+rfvjU&wCt6S%dx<5iEE15gQ z;XTZ-)HRR8`e9{HN-Sgq!ItKT0z0IlN(aC%OW$CkRjR&jkNAxjQPh}ysCOSGKbJaI z%KNqf%(*S0SH%^;Hn1ZaU|_IEHN&G})%O$_dUykf=FWk-%x{~w0dJRCVe;g)$#2(W z#0;W^Ev#HxYHN#OH^TX9qHQr+m4@70zeLN&bmOmNiCGr}thEr2hhPVe4oe?ZZ4Y3Z zY+e+SsCTnzn{s=exhyZew;Vp_kp*S~BIX&Y@8P@^8oaCdR-Iww>nG<#%`+2?a8oSG zH4I#!bGmlEu87obXn+;faP_=xO1A4@-bp)a2ICi=mU?>O`r9SnkF<(yNn#E=IrkO{ zK7D)$_c+3h=%nyCJudAWS&akgMCZ_(t=CaCDSemKYkgeasbUT@n7swSh0K{kvEb%Z zr5M5I+EBUDk zjE!@)qlD^oM7?J63iQ0fzvOebSWzN5(mW2$t|AVq3g<- zZR+wZr^;KO@vqSd-pv=kfCwTR-=N7e2^U>bJxysv=}&(os0XXieSpqVE?30bDOOlb z5shabj8pgxojHLG4A>vfo#hYKtF=sAy<}{VbJ;opRV0hkk15%?h>{avo=($j7r1wT z;Ng%z-_^^pkoZ6By?0Pl+txh_2%?~3AgHKd03|B|1|+G7WN5m{NuZI8NY23wh=^nm zkkDk1oRf+`lXDg%XC!C%&3(Rm?)AH;t$J0zs#o=@-aog_rQ6bB;O2SRF&W zg1CiT&)c1{LaVDUcrzu2s|9_Ftbh=|(B0osdcSB#@u0$Iq1u-_g$$;kvbNaK(R0pw zz_*U75VXj{H@98bDbV5YLcLSUw1g%&*^27)NM?8Hmun5z+tCW59aEVG=ZsfQ#$&Xs zUAiW5?=iVmTd6rJdI2rBVsav?ax}$^d~@>O_NF^z3j0;z|`E6#N2j=e<4@)+0FauyiBf^1ZT{RZaO!cyV*^b8V1mr z_3z1SX4GUN1m@w)R2t<#cFwnHy6xuAt_RfX_FI0l?s|6^+uBRzxZpexso-L`4|o4( zNh9lz;YA67qAT+MgRSR$ifBB?x(AI;ZAQuzS5s zj}>~r}7G;zc}LLrob@WGcBhx1CR##*ZuvM})t7 zL3$)cu63&uxKmxX(X=K;LEHG6scYd5k%|vW*4{jG?(*I#?;be%_-w2Tp5h^G5XJsj zL$Az+4+autEu-f%)mxVxHdNb{CG|q4IYgkc8A`F{@uB3**FJ{{WWTulDxOg_?tSjdYrTQR!}xOo2>@^>3#PQJpn_S zsyX!>E*Z|Ne)u-)OVg6?`>WiO0r-{v%@_!I(6X6{7_ZABCp9g}}$1t{;eRry) z8Z|P_+Urh`U0O0@9&ueeHXSA~W0`q&nVvYjVW3ep zFw$x9%@&7mW`WB5xZzGK+C?LN(J^()oyyxkkgry7gLp;ZC$E4Y`n7(|d~4g%xzXt> zc`2P)Vg(L63;LyVPV~kqe17I7Q)yOp)CP;tsj)sediP#qZlTt6PqTR<35Wf_O3vp7 ze)E!btl{Itfm-$raYSVY7An+HmDQga{w2o*D~e3bfccL22nW2%%Q$8oP`ox#lg?zT zjT+P< zUu;AJT9VnuVw_5K%aQ+~p$hX~Vl+0Aei7j1t#@hArc0xc)SXXSc#fCaKpMpv9M0bA z^y?PO4d*6EX!{heL`CTVr%Pnx)R#wpYewC1%s_-qeD&)4zs!t6z1(o^wL)PjLS8Db zd6m2j50l=eb^rPG6@OVQA7f+zhy^spN3~?%<0Riuhdwp^#8L{}!f;FR3}|>4P3|IA zImZg1U3hhzQq>IQBe2?qs z1<$aM{rfM!-vfNl;4UCGVNc`?j{p9{zg^@1(USl_`-{jY@xQP7U)OLG76jVe*w^={ z-+%W%j{z^2`4UXa|Mv!i_rysdmtsT|xWx~o93#$mB!q9xJLJp(XcJi;T?dX~JtbH1 z;OQ(7Io=S9F(4x}Ug@^Oet#$T z9s5m3@cS2tNGgF4&(ZMm;vdJG9-+IxrDCi{!0q3!{_lC>2^UcfKP*Q0Q+OkMGB9)K z8H7WD!2iFm{`Xa>k&E1<_aXc#{M9rZrYE1E8_(Y%@*lr+1-Xa?-b?QQp%>>I}X`@$Haf$ zl{nm$_?~1vIMGZWiMj+A`HM^W z_kjP`KpWH|WY*Ej-@c0cVG;;O zaUjz*Q0!gqAEzr5GF{)idS-uOeQUm~9!!P;Z8QD?C<&|p*ha4iD`Zd)Yyf-`Orxk= zv9kl%N9Bp0i{NWu7QPCG8>}I@eHCCm@*}|d%fZXp4>!S-CZ{WC%?CQ(U)zPW%iTP^ zT$bu@)Pp08p~LdTBmLk<`>z9$IE*Psy~PB?m=AVXne10*5y~j=d^HoNZW4CqYidAf z0#Ag2<*RhvtncR98YGT^b!Tw_i>b65z;4s{2t*ebb#MHgq1PAdp4M{E%_nzyQs+;t zfn!-b2Q#R%5gR)Xah9)l=%80bA-h_ zyqxa3lN@!9kMP?33%)Sba{^x$vsJK%0hfvCZyXUfEuwF&v?-`vp&BMVtZ5I8_Ikui z41CEPEy1-Z4B4qtT>-@!gD2nviFUvwxKtHDF#GtzpsTNV%LZ&O!hkW$lHy@a@MXIn z5!PNj(o|*BTp1zYczP#?sQ{?-($u2*z>2z#I3^ivg1wq9aP}_)XLl(W2+N&)FeGE( z33m-Kw-LGhhiCe`0hi1@52ix1Dd)$-EoE+;Rj2g}J+}+|@lXH(dv>G&Ng#{cx)Umx z=7hL@EnQ2xkK#6xD9{7C?$r-6o31ZQC~jY32$B{63)hEF@{;Wk09jLhj(W??Yh12il13D1{dh~K3aBH zB#ye@C^@yxrq^`5Mf_kW`@lFNunPfcvPL0bx80*kjqD!OlZ>-gu3bzwQN19H;)Z89@0K_*ACR5wSBDtU(Od`*|;R+5g2DI4lnO2cS+$=&?9}LkqnM7ExiFMW)clk+xZFfV{hY zwpHlxWKwdPQEby4z@Y2lq39V}J=3)eV@U%N1Xql|JU=-0lHTkIZOok8PCUyGiZ7R# zhA()r58*y;>5c}1kyTkYJf6meV5FyB>;LMw~bfv<)OMqeq|QU+7B z;=0r!NNWg+<|v^zfbrb5@|6z9C<`guXGG8vPJ$j*ep7w;?z?jW>Vao%x+++b*lGq$ z46%p3{%c=FQs*XR67HAN6JMy;_eT&fUQaZf|6~w}3zr0iX2~zPu@$j%_TN~9#zT!c zFH$zg8hEY&+r~7)Zs=f;Ocm0*^N$QgrA;n=N(g^;^~-5u@%{?^=-3%rLl zT$AQu89(j#ka;9vG|~T^k=M4B5#E92J?bfJp_~sFL78$p87-aD$z%6M2}OHJs{2>U zh>@`8aO}F9#HUOJ2}PBlq_fD*6Sm07hEnmu-=!s-_!*po9DwbNmtp)zzJ^beU2*qY zf0RgFujg^$)pQtDEgp7d6C`m`Os>{**+}<)_$DbzFm419#=N3o(u`)jYlt#&Rqa7- z@ziU&f?y$iN!9`Mcp=~`ThGFoUNl!oi?7elq|TlIbH!^E&tr)sLLKI?i#1u1EuNdZ zU_x7vLJ^IY04J}D9z$D;Or)4G7$>jaYFlQq{&?HGy^_%|xw?xui z@q(|0TARdSqgA83k&&n;vb>Qpxv*W8Pg#?;v!Bc@nh(;>WzdA4e z8=DP{yr6VTPh?=jJUtXB1u#FtU1iCHBu+?wh0Z)hy@ISjd!O@KKb9tHDr{SKGhq%@ zXT(~Jo2w;Ja8VrXsLHNA{cCEP2QV$%cmJr7!vn5DssBGiY_Qr+wEbxu6Pc*YA(@Y9d zvs_{V^`vb+zqQ720wXGuq@CI|{g8}wc&0+BJdL`zE5%)=xN%L#*-?)NEcxwV3>)U> zr9pU(r;0}jGQUpkezw1DG(NzX!Yae?*P;lEv9LHwJV@z737H|P`|@6d9|-%tfs58{ z*!&*TnK}V3ViD+dn|WHi2C?!$cD1~7yU9E{!T7*M1uWvH_eh?j11rLEFy0m52abTYL@36U`7K(HJ-BJ&3n|-6yYo(r=Z* zjtDHv1vL~=KcU}#MzEYPKwuu*}+ZI4**>=X_+c7fvZW^Kq zK%ti_AFJXsQSS$sC?c{!r+9PpQLu_V;@1R;V%_;s>cQ(>*LhA_#~E2N{(#bC9=Zrr;YO`=RAivz3z(A3e6WUg_Av^ zY4-=E$vp-WvDQ3nB?}pD1hj=$J%iI$YlLv@C*r#ND`VKXvBwe_?`nQZ$i>^nQ9Fkg zrj{b6CJmRz5!+RqXOOAfg^JIQzJ{Aix5pVw4n+%#pqf}!3vm;Y3sKzIxxo`-is%ic%UpK6sS{wRQuucvX{S*(F!H{nq-h@~X$h*_LQ@vcxTX$j z8q713JhFr0uhD#ZID$CKy>E~5n68eGT|20Pr3uN@fTU06U=q=tzf^9;i=MTe zscJX!(h^3DKJ+9D3*F|#P9iBtE+pL^w`0ToY2rK%uy_>vKL@2;hziJvHKHOtzMZ-O z#vWHKq2W%?@|NbR#4aD!FmVELfz6uiFUsqc$rY`PUy+s&X9=QH)+Sy8NVI@2$p>N9 zkTIX;w@FcPUTN2u9^q=MMWjL=Oe_+`xOmuCdlWQt*{}^rRc?ZOM7jmt(E})lCvp5 zx#o6G@I;IJPUZue7%)JoQ|X|U)H2(H`EZu4jppVQq*k0kaf$C<32KBDe&RXuk7?iJ z12zJkaRSj$AfFQp5X?c!@!pZo%?AIduY?t#iZ-enkrucMKQ!xG4oJ8TxSM{b6_DKD zYV_XiFW&M$3ql$M#<|ALEgZ#1f;bR&L#biR_Pmd9unakHl$7NJ^Krtn5J7C-gMQQ0 zqRqfEjQJ|K5(R??P0qwua5UAUmOe*#v#x#zlXqJgb)1y@STM4?LB00lLaGPjCn8h# z7Xc8`2XUMMF2cbmtN8&v2K^o4oHk<7zGe$Tc8q`CsS_|8R?@f-|DWr8@AwFhNSix6 z+HGOemlqJ9SHzk<1TlB5Cb2>iDoOT?`=ZiCpwp|*w;1jlfGkr}{)fKQHb8|%rHJUg zzUxj8VQ5y4oP<;)X1taG7O*8Z<;( zf*$`bukEm&G;1yxp_q-qXH?#}a>?i`-02XWLabWE*+NNN;r9!{TYLE$6tHPo;r=Le zYc-Z8lo?UWhL~j5gjXg^1&mI@iqL7ARfqqkz$QW>=*sIUK=!G=WR8iHCDQ^#E@C|yC&m!St zfXMJ{eu!QG2*zhENcH`@x>x5Ms#y+WIv~3p@qdj}Nd-fmY;|A;5fZ9lDpwwdI1+%$ zj=wTW_R5Pm+-M`zsQO+UxmRubt%HO{NO(R%9;y%S0^VzeqX?dbR7&zq(TIz>AT!f6 zh~}|AkiVW_brk~-^>{NixA_QpO zeftkRp$!3z;GmymT$9T(GFMx|4?hN z9S#^x-A*>Ty#qLrdF-+igrkqBH2_;ID&qBivc_HimuCNe_i>PN^NKKiZJEg|;s=tY z+~&WCwBWq%M~d&>f=s|JUJ8LA>OeMY0)lYCi`XG#%c71#EY*5f?eQGI3ZjsE;~$}k zIEy~+Pn=vq8fgk&Hg$iZW

c-N&5A;9%PS30w~P4Lpme0~e)}5*H~NE_DO>sSavr zZB3^I(fIrR*0}o=8Z2S~GOaCN4cFihg_zpEEFj}j{Cz(?6n6j|C=@YLn+-gk9lQWyC0-pVPQ8HeuFtbxzcji}@)BBV=$7MT)Y`5x)mm(s|tw5QY*L7KI!j-0>$X zN>@^e&ieDFjQ|XIkSYUVJ^vHMZek=+cH=wX)M13>V3B8xj{PFN6(6iakp+aUFi4df zRTPc1IEI{c&EUifj;Rl#698~drCg6oITWA#%GyZ64#ktIZmJG6uMe+u$Q~OcCK5>; zUs2&C^1Hwke_!OaUuKt%7tQ*N)H$j=tOl$2Qa4LkBx1}K+_!NTBge$GsF37>Br*-- z2@sI)M#c$pND{i!e_JCdp<|TXXchR9uBy06@T?TkHn*9HIs{dlj{}UWBo~hRDaj+P zSt>lra2+btsb>dR9->gxpEQSBs~d5+_mVu$rT$m)n_;vR2Zt5j4`o#|xNiT%jk2YB zT*uO=RO1_yQm}FB{zb%G0qd$O_R0i$G_dQmA=$)cMtz)~ik(Dk3L7(c#(D9Nw9-l{ zneBmvi!L@AFOj9=PqGBA8kVJ3c?F#DEb%7tCO!U^>32-u-|YGcuC_-$LXS4lnzUOr zC6L0-Uy7YlMx3SeQG~_t_kuw&WUDd`B4IbAC?mO8b6iP&n8t~MaBg961QuqP?itVA zy9!lIpIqzobW|=$P;->fF0>9HUOm?l`B*eCq_5L8O~4lVM8vaLtEuf9W^M+2$(GKu zvdL|npM?M(z!cEH%#`l&padf572@Zj;hcdq}yF0aPE59_9Os%EEMMoLm zE~L8ZAE-&}4JTMkAJG5^z)<{Y_xM)o!+FCCqr->;EcLNc+R2`r=R8?(vE?nYr5n30rG>>U0gROFE2s-DI7NJ$V#O7eBvJ|FOoMzr9sQ6gT{RJ1=v=6 zZy@GfwgE#P`K?6`wStu$Z=el z88_ld;&nTn5sjQ79lNr_(QL_gs`Kw@Yr4&#&uz`|z?mMJ%qC{b1`q*BR|9V-MDgvK!SPDwaIixM>h zT4Uqe6ydl#b!rYkKY-=VrBv!VYJ2F`V{MbPeD`a&Hpu8ionTW{i=; zCPI5e^$9O*C&17{sj3PCGl8vDl-LP!dmB6-*qJ_Il&%T<@)Yt$ne!^97lGr+rxeJ3 zhWyY;x!jYYx7QRJ(+kE~!&Ec8f6=Av;OQqqA@3C)Z<`MC+)uI!C| zt9EJ)U$K?yy-CDWk=)h~j(QoMFPaz3s@PBeZ8Glps*7;kfqsak^+4aNyGzM2@_hnv zG%~E@IW$I1S584V-Aq0n{EgKxS~2xK-sl3OaXlz*>RF~~!TUZGZzLH4mPE!&kWZZ? zd#DQ3H7V8DjXRsyAAKQ>5q=P=s)eU1hr?Ftf%rU&`&LV5$n<{PD`yGzC7X&sD<@D- zTt&F-8L_51W$Xcjdhw?vwIMTkYbt!At$})-`Q&qnP)5;SI5RTqrzcaQI|Jb)q zxCj}S^>fK)!nXhoa$Tg|%kFCQM_RxXVxx8TCyIyQJNX}A9LZE7dkAmbP`cd)OL|qY zeCoplcScxgJb@76|8Ixls=aP9GMG^%$4~Map&e&W@4x{^|6R949X?hLHOpaIY2bbT z_lN(pZL=Z{)ZCh}zqtVa@8HmL6h_t5;IjeiAAW&R?i73@VBrGqpT5xa61vEy$bnaX z95p=BXZEH`{Noq+K%Zbhf0{j%;!op>exSXG_xo@fVM6ecK)qEH=!^bqD#+21#5{PL zBw0ZH`#*NieLw_E2tJ)`I)ZT=#-~~eE~<~dL^#8Taq2mZ436nH11>_(zV15HPwtP# z$a;X)<6=~_ho|SE3m%M&uP=B= zG>G_K@_VKiF<@_LoRpkglw9PMHaF(lVKmiI0=VZ~dU#$(uW@A7F<~NiU$O&kFQr7q zNRJ8=5&z?V9-5Mn3M=$-eRqQI{_|sDMm=JZsPhWV#|V4|-$#WJ5jVB1dR^1{$1nf& za|cx1hzzRHR`&`0Hj#T9voH||^K|Oy2><+DT1KMN+%#wZaBn#Wj}l3nmYrM@CH(XM z|D*qZ`mKLZ8w4k>+|#^9UBGH_5Md}W>%YAg4x1JnlLdbrX@H(He~*1BqZ<*)f&coS z*mLfO5+5hkE$f_6E^){~D$ZQn`5%;g)(#+n`BD6wK z?~ob3q;{=Uj}|0V&pzI?`0{kDE~HL&%;LYViQK}^<1l48#lMSNl5mwQqe2}oYaaOL zaHkQf7DBZh+UgLm8YjQ=~$;ZFaZqThB!x8Mp@6MkT2Q`f&w(i0yN0Nc;8DsTfz4!n&=NM5@Q58U~P0HPf0|lKO z2JFvD1z)XjSee2i#}LjtZ7hz?0+hGrye5=@Ne=AYhu-m`W*I741`<;*kUveXKWB88JI>>|-`Ut3poAqjWoW>*+UYe>CqJbtYuXyN_O8O`|Q5owD?@S{^S?vz|nqcfVnS{*~_tokysUbgr^P7R};bOlG3O>&|3 zpTM@rLx|R$H%gzeVv@R`g=1P5e64ga-d484gDe#&4|CJdTPSIDx?ixrx{MvNTeT42|5NGz;GsW1&c-hD!w`*YS>=$5|i4AN`UVp#Ji2006 zKgE~_hm}qyLOtA(W2_W*+uG=}+O1avUdd5n*dC7wkH4>Bi(-rm<-YMOr>lW{daHaN zRsLYS=jFF&`S~8i*_zKcTaGu76@9cMG{0)tkE&8=aLamDoj)o=j5SD-juh-iy9<1- z559Ks7rJSl)g)V|lEOCCb#M2YM$nfu~s zZPC8UllnKB2D6j9S*T*~dEgw5= zPyZvDGP((mkSUWeYz(-aQrC80o^0)f$daO8ABxy)_xLeMrl@4;=Rybyg9ED)gZ(o3 zhmBP-^)mQOd-5F%t*7-73_me*8}7#xR$i|2mQ5Z*!uNp;T`{Mx7H9t%A%z)FL5O7D z$NlbgvGDHpM*s13gtkJjplxI%BqaELk2^u&!OCA8d%fv+>(>V5b)J|DzT9N!<%g$2RZmCq z+s@sWUIf8suEp>Jx@~r)v~X-g_$~S2^?_`=1)XFFdi?FB&W;Mcyu5i3Hsi-8uiL`g zU~H#+URY(FvonS2eU z3mSb{kKZ|(#YqG>Y4DB#eDN4=G<)46qcrTeeH2mJk1de&pMM+WGUW;w(zhP13R$v; zpmsIG;{7wA+g+K7tsUDWcN|bAml&g@zhP!Ip9?Eg&xQNlz29E^-y{4mk;IUh=rqe< z5++#{u;x_7RMk?JGk5HoULHE76T*#M{3yvmzFW~qLBrZL)18&7UExtWN$#jMAbNyQ zVsiB1BS_sptUtS=fO0kbv_URJGZD^f95`AZcB3abE^h7Zs*aNgp&R)C|8B>n1I`@j zp6f44ee&~5;APo!c_~f{LzTIvy?m|5ZFk7@tsT}9%I11=jDuKw6OhD2EypN;pA%LA zq#O-rrz0Vvb#Jaro5E&@W7@(bp)+7WQ~?cgcJ?@HPz)5*8djyWnXwZovN{cLdja)H z&OGps&gv$VuVKjN)$jIglfyYMk*1ZNG=aRvipd&9xil=OZ`s}&fq23CAg)MPTU)2) z3HhLpNn8-|sCq8{!of)qJrG3t=k1|Yd8f1V{1Sa0F(wMl-`%Hn~aO*;ls= zTVf5|s}N8c?KBRk&S#j`y%Dav_VfY{*+rue331pFqaI2gF`qMY$|7}uyY`X^^}pHM zjVV3BEcKeN)K+60WbIhi)e&B@;pO63zP-W65SV5F#>@`CWx4+>-!JEOmTP8(vRm(e z00)rIb=S#xCCBG1e_@FjVwda)+}S=yN4n9jG!6bBz;4@EY;Uu&;^8Re8S6I-_Jifb z)4)vF(%4yZ!u&<&bEho8>gGU`Y%EO4Wlj$)#S0W$Mls zjGv>^PEpQ?ww`LM;e;$ZOwhTI61|_Yd@5pfwzr5Vm0R2To#!p-5bnxC+xc@BUng!% zM?kOUD2M%WL5`&K}p+P%v00zw?Eh>;i13_8mleq8X zNNLo5#GHIcoTe>Zai1dqPF*I6qIhX9U2&6aka~M&psZ|VvbCy6&(u9q-0p8LfZkkQ zGLiu6BtZ&~B$i=$cNCWYuY-moZ9jNK_9R#>lhLn&73vT!^;B=2Q3r^ z7XX|53|-&vuse-Arg=0tT*kWY&xOLLNc(Y)QM(D`f~AiB$5b=*YNAx4DDbTLiPQKV zcDX1w`dn;npbc;)3WhKarJ2er^jkN&*{&pS6~`^YaVxLYhSG=%NQPBeUAwVC1-<70 zkWQA5d09IH>(k78VY_PVV%J%RU(kLr zHZiIh-nlc)3_>jRNXh6wF|hGG-x&gnSw5UEzCjZ5V;ydaZ?@!Am;cA4Rp9GX=8K&Q zrBK|@XZkn_hn<5&ditUe);!5Rq;Sq_K$|6-Dcq7w z`wQEh7pVxv5IxwA_b+s6M!MI2YL~9GZ!0dj+#f``9fR#O!e^uR$B;ztx>DFUIKD&* zw-wC$OS~MFM><0JOi#~P6^~OB?EoE6S|t|GhtZD-T^&H{8|bJen5p8^b?$R_Jl!qF z)v1^Y9PPT}rM+el;?Q4c9n&8@gres&c`~k3+qKe=90|$Y4`KY7!zQq!J&pGuGt6Pv zlvXL_Av8IwDPu#Je(g%;4O0r9y=_%}IUPUjo+|h0u6ul+Z8}MDVCH3XHEelpLBB#n+zd^hsJ^R%BSSvy?Jl{^2bkR^W$Bnk!I zQs(Au<=3E6J3Z^4d+sJukNK`NRxi&}8+;N@qmXC0ne;`pA~aJNw(tp$9@eXI?23Ch zZENi%k6~6n>Mp&+v6X|x4M;xq-&>gb2+hOm#7%JO%K8ZPpf|_Kco|hxTA+ZV4c+!r zt?k_f4`rA5FHa}PWN5b0*W&U+S1ZsWX2Rfm~bpt)U(n89|2I~`ori`9L(GuF;Idu;N9>vP7Ta59Gl*8)nKe(Gxr^PO)U*D= z;76u4ncB|2*A$z)Ms3xz*lwtOP7>Ec-qSl&>7}thIcP(r)X83{4`GLPK$}r3H+n3! zgaX~OW12qEhbFqC(|A-ZZ|>;G_>1X1j~Bg2c#`%qGbT6@*p-8M(Qt) z)Zi$7^iZNPUvv62Bop8;zv~LV^Ke+g5|;esRv!9Mr_Gc$#AOLBU0jEhnf$>e(T%;#76+g&m)KJb3x zt~nr0_;sE_UT1qcw@KGkgxaLxCN%(XohicF>t#TNcu0rwtMKgD}5UT-$LwvI9AFMIfwM z1%gyJZ>PF0pcLL6H`KNKP3;kTrJvLZXhxns>Dt*nKy|u6-J^qFZ#x$OmdDR1-5gGR z)@1B*Tm`1put&sZTI!)}t;tYcW0URmg$&xjP##0Sx4`kl=71omr~`6{El^8o5UEs* zU5>E(LLVVZD3b9oA6>DP`{i`n@$$g*m32h_SM=o}#RWuP5(pdVz{c{*`=|1 z`e6&z3uTYK?$5iV`NG|UX7XUMxX4|OWTlsSPs=0+)j3CO$wYIgCZMmEs!?Qf?OdE& zVlI(fZYnzo`j^2w)A#!-$wTf7mMK)-rBS8ax)P& zRC|$(-hT6v0CeLfj6whg(RYp~IDFZZID?2c5!#^yOld>Y(X}H{p=vIF_(&}j zjL}u&4+y+LV$w^(ME-k6E-?FE6g%Pw;jCZl8*{}oLKS^WHj$$nZZa|`h){VbJUB$l zxNmuAcZaLGmx14gy{5Jk;8!F3(YQEGcLZMeQFGlAZh`T|0f6!@zNmX{_*-1`bs(!I zk}fIJ@C@Aux&C+tNOgI~nI!Vdv4FN98Ta`{3rHG}2*(EH5oH8q!mUW^Y~1zvlQl^6 zJJPin7M0)6*sac}^k!luFU6N5?W2Draob3-^yo>jojZ(54=Bgff2Bj-07|hSl^Q>$ z;j?l916ynJ^CXdAkdpzWSy#=6%c*t?LpDR-4u%Q2mcBi6s|8A6eSiYq+7>^wQO?wR z6E+USQR*7QUnYdcSP0Mtmy>6hHMLnIyy08?|jUwUu!UcZiGXt^o~yBcm<&;bq(^k?>s-H zE|5|$qm8>W;{XPK!Se+eiDsa$O`8^i7J94J%2c~_?Ra}jyzD&pJ+RFaa0KOOe*wrt zYqIOY3D34GB-A1lqLUY9vj8OvYR-p38wr~!s5ps0s8|h7_slN>!eN6{cP_xu#q9_O z?1bDf|6$;~uMEzBxIX8f34b}I$IxSwMFlSk7)LJnY2`0kHQB#H@)Vv~!Xrnt*` z-4e*gIFp9fc-dZvKjuk;nxK%lIey)F)5=yO;K#j#E=iWK_;k-IY`rjg*Tk-p8O+TO z34sxZYW9;I&~(TkWhKoOxpJ~6wE=A7@Sf$9w9_(q;Y=`vfi65X#uwv0_~7kn6{wIk zMB*W~g|6Q2ho%PmlXi6c0WwNXV@v2CnawwlpR+56^){TAOi>Jp>)n@`Gh2XtSgx@s zpYp+JV>5Ir)t_)HrKzWR6nlKahs*y`I2EnBJ12CbME31zUiHC6=w;Zr%hY50@+~;m zRWfu$!vq|2d%e)(G!HQq%w#W-^MiuUveJ=>M1nLhPwI!7OZxmD%9W!;Z@0~TqxGY( z^G0~@WymB+p-6m6M}+oOsI8?Tk~Tq*sv^vm&3u z9cVy0Il4G>t`q8DKeR`h=ReGkXPh#0m7+O-0+dCi$=+_fUAEFS`<=c{C|$yG1l`S- z4aO?=pB1z8>!XO}Xf9Kjs1~N<>{%^&KhvpVM~d>Xk{2C2oe2 z-8mfTZVYxr)y4%{Z9&$j^Qko}>Y(2$O3$l+ld{+^T!LTzA-yX({t8ggLLq+~i3F>Q z6@Y%WvJhqaH9xU>x8+;t207n`Iz#SdG{NfoIRb{SlRp%H*ZCuq!U#cpS7*A1Dagqh zWCI#Y%5|WDu#fB2_70HXGNEwH*STk2vJ!as>}{SA$9uC03rnN5u<9^1B@mR(_a~J| z(`>ixM!^C&K^T64f1wm={dPc}PI0^jSJWMz55jeC%dSrh3Mx!L9Ykmw^yP;10p~q%zOrrzq?TC-3JL7bRGZlz-00vla;jXwa@0y3 zR{A17vL3Ml!sTWA27GXvW~jr<9yo|G6$%a<#R7!Ary}AUkIZ3%rbN)KPMQav9AVeH zo@WO=25eHJ3AJULYuNf74jVUshA%hv71Ej&sI7f~QB2-UfPJMNh}!4=!g`B*Nw(|Gv=*|_ZKbj4E`h57FZPX5nOyo=NRbib z6w$((N6KPc%v)mLlmO*&?$+VcJWq&wAQ9T~6#XdZ+(Y&3l}o%JnRFz*MEq-ecB~5oFwQ}hV!MT#Yu5w-_%ZFvZ{~Q@Dfr19 zGo~8`nB~(})Q%imqcJ;4RK}a9=OCcuLviM&SzIPy?(^@99uU38L&yKK)BpZo!kLsnC$f2Z?)AU#;eX{mHB8W_E{L^1LID4Re{rb@dS-f;$K45S zxd#}1)geayUtj#guW)2vHfl>aHk=Mov;+E&^dPFN|HywsUN#t9PUvlcuyJip$Z<6V zIx|e)H=aklo<4Q(EL+^#Jdl`|!eN7uh-6(NP=jz%xF4dcRKqO>sTbL#a%dFtOsKJ| zW>?#mf-Cjv7fLQ=G}?b&-H9Bm!z^@_lF%%wov^iZ-J=rF14cy-beQiK1vYVI2weO$ z9Q$$?X^BNZEg*Zi73=fQQ4tQMgGuG-G6ZadZqOqPhb<&3#7nv7PPWGPLhfJ&O_EFq zF1<*}J$+(81nT@$2*XfXrW$Bey<;%14dSvTZZe=dzQC0G_>#^QGeYeyVMY-c`4iu0 zx*J|l(&Yk{Uln{GwqkbI-R+JdTk|at5+A1~GHpwEKRJIlcf{`di*O-bLT%MpO(;YX z*YdphmO$OmO(vX!-W{p=5O~W{e_#cwRyAnkr9c}h7YazV&)V+rr$!0?D~}-Q%<3<) zRg1V|FGZ|4yOqea_T#u2hn5yJ)F3=JLR6TbS0IOevz2qs48Qr0VnrBRHnrRo=rppZ zmX$xAh_;n!Y|Elz5HtZ$8hUiOA%VlwTu;Ico_${&g^EAdWye7+&+H?DZZ(`3!Nqh%vqaN!4fRlD-JAW-qVynirMp zy`Z46>dpahrhR!02++N7C~toOr273J%zhMh%W}-sacBM>vDjP7*__TznNld(#`X?r z*g@o%mfQrchcps9`2}s~!spMCFcz)F(>Td31%K9szIgUoew!|c`}3LC0@@4hmmvM9*4AZ_>jsaQpcepTk}EtIgYC0F ze5^5YK0*O1DLR9dGA)&G{7cOKgzrs?B*34tP&;TK+YV@Fk#@T6yUiT)fggybBJZpS zfPgb#K9s?tfK!GNMwc|QWQ$;;`!BB8<*7udqiu)<=End#3nqC_;l_G3-b8|I&jZd& zP)rG?lpDhb)MlgAE1Jq7p$-HI$a6!LqCB+bKnadr@+}66fV}PAS|3ECgtXMmy4T@6 z;mOQ?SsuF3C$1a{tVYw$?Aat=ehhZU$D3w!q#5iN~MG^;9g7dq-nqO`j# zLe~1Q>_l@`HQV5Q?bUW(Z2ZfX?9TYr#zQ8ep41k^a^~;q%cpk-FmB?K%{yUW_hIeCQeM97o@;hw0!euf1!EeVwlj97%b)mkzN?`&Ln)yc zdPxe_)0g54J!&EEcPn3PUyi{7P~6Ffxz@>TLUWVCq)_M#aq@{wxM;xZr?pR7g zsACx!F0@coXG;rfs}0H+mT<#%JQTewzW&|rm;4gk9qWA9T)HL0855` z_S9vW@XyF006Yx5&a!DZra2=@TK3n+M$mHWaG14K=htiT2pd!{#aR)0IMd(Th46*5 z%`xQd{mvH%^%_|2xiS4>8MZxONDHZI7Gm7csU&h^?~t^{Nn|yfbTxHe&LD@(#wrgv z4Sf|9vju}=U^$)wp_>l@0M-5NRmxnPm8=Z@=CX~C0SC?ms)skuRvz=M;hHWR*gPH$ z(dVkUCWbxp=p}_uIH)D^Z?WE6fj!VH(aD2haey8?3?3l)+t%4-c2lybRC4`>a6?4o zs$t!Z0f6rNwaZ8k4E0E1!xRMQ;TF9uw|#$_5d24!5- z0{Y>@Q;`6PEYTGD4>;`6!yIJMP8wbK`ijc7F_IhWS?hVIR&VH3EU+-s zNDwm6M-eD}X0-M;gIJCxmrnp+Lp@6It3g>)Y%X$u3H2dGq<~6=0|0XM>rW$PNI&pb z#Lq@-5kii?T!Cf>?az&?K2>stQiH&{%{A`i3>r;Hn%Cq<8pKv;w`}!-r<}trMYM^s z*sn%4r4-aGjMFqP3gwo7JCd)qKi#Ai$UkamG}`Z64%9FTiixU_UTFyPitl@{J_ePb znBD$6NJ;Tl56#e}c|l>2!=aXY zpMLHcmEaT0CUpZsll8!JR=8huB2R}okb`oqCQ(RpY!>_k-Yw0-(Iz)KZDHkDtWs80 z!m3k-ai0MpohM%()Xsfpc<2Zr9YoLo0D=vM_3+wscUC+Unb$;%e*%DR3dD349Zo3{ z0z=2Rf|PhWWsm%RFoFWeW_#Vj5hQ~{8WfSSlmqh<3?}hNkwUVMH0BLE5yJ_EHHIZD~*1dr0qg{hqgT&i94`)%!py638NW}!4yr@EGawi{GoSVU6aee?J)D6Qj>MW;ID@Z% zI7uXOI;`}Ex0)UR8L1;JFVrS41sz!$DHrSlnO}8A-&94a4I!fqA;L>QHl6zZ#`A5b zd6D%c8#PPRXWFJP@vGN>P`>KCf-@O%*?L6T2HW07LCu0TwkOopUi5AY)~n9lm%QNk z8Ix4ft$+1Y7J?q~4-iFX8)c=yLv+dkVL*k5+CFWNX{VBzW6t}W2&HIUNIx=(^2P$% zyq5#qs_}2aQ=jI&L|K|4ouhJ-%(r~K%otiiHZij>f_jfN~d+_x~NXw73Ijw)R1@gAqh;}8T+mr$KQ2A z(PT&<9b=QQOJ#8Cxk>n;j1F%-^_A{i(_fEIIL$BZk0?Owe*b6aL+8lN(>M&Y7+Cnt z!1{Z<1Y;jJjI2BDdw|n3gSy1HSBB|dG-U{tPPY$oRXqfl8w-xj?G-m^yDyI3BScE) z^&nj16wy+*m-yBfA1+lcJLf3PbmXTIz}B|_b5eUr{=cA}I0QtDn)D0G6^72ee04Dc z8LUFklSs($i|{-P7A{WZ#lo1W=pC4{L%R_5Y&7(!6OTm^$G@6l}C}W`m$kL;Bv@bbw zbmOd0_U9tk&}|7)@X6?-<;XxdJwMO$-7z8GgD684O|NojJtBB7y|Xg*lAb^U@o8NI zTIt@;T9f!G z3s6MXH%HS7i6Aw~K(pByTL{Ez<8$X$=TnP;t5$zr8QA%=X6=pu{bQO(A~rsYXB}m& zmm4SQ)xBl6ymLHlw2NMR?N1Ar3aGB0^I+O{`jl(Ggr;=_w_v3nPwJbHiR)>%F3Y>g zpU(B7edV$*S5bjGxtC<@=a>43ne*H@PBr5`B86bTs7$_R%Z%5DIY=w`1>*q~91QKH z6Ham$PYz)`E6lfjg?@qOsZ;U}yH!Sd?u zHu1lBY3}iC&e6G%VUE8FMV47Sv8OSCyrzS0+wIY17W`Qgxt^?S`n)C7PT3=8a9?eG z@_o-UgNJyIni1=GLAT@cO20tey1#^yJNom(>HEGkVo$YF7ArD`(X)rYUrp`E``)r9 zU`cuI*sJ`hJhd}15kn-HA_#x&XIO6~4+Ntj9Ke*fS9f=FCvrCmR5WSwgkhWu-uEQ4 zr~vRuUaf$;YZH4??De-I7JVu#4T{oMRCit-Irv5FtG8w=f-NtO3>vtk@|kTMk`!}Q z57;#J^snjRd|MH3#TVF|ZJ&Js5jW(}iNIunsmENT=!A{Y^;V<&wsAE+X$a982O{jFHzVS4ow3BzGqGP(Y9%#B|93ip^3n;lDF)R zbmSbKp8`83Zk1vhPyD5Kbm+n!?UFvvC}%x-2>;`e7TnX@xAzP&?g0$F!tp$ZTAeSK zOe6DMo-+8ckJ@iR!!0EcvqOF~wfh7D9gnCV(%0-OGeG$Ofo%-=J?vA9B&JleuFA$u;x=IYm^8QQ)8qeTXA2)x6kS7!DS(o$?_MeI@Oi z%u1oa(}CI~95#nWdKP~6)(vxO>Ta8X^c+yY*F)iAH|r&ObpG>Nd3*sDiTwK~Zl0lM zlXMl)Bdky#?T)L`&Gq(!Gq7z$PrH}&i^H*n3*fWLk)0z6A8~cT;qhh8EGi%E6-}>h zkg(gQ#z`m2Y1_BkwmaC17u0u_9?4qSMNMi@3!h>tgf^f%gPDm*Q{3j)TO=``mV6*A z9QL_3@b`H6&@*Ya753=loHZp%MQOD1I4il-yg|1R?LdbgM8yL~nej_sp4AmW(hOrI zP)9r`?x2vOVxX+GfQ<&?_b5u=gd#6wV>@EOg`-;P$LSS7DOPJ#WgMG9Yi^@Uwoyzl;+V~T9v1N|!%>*mJ!uN=9S}-%kBfU$z9O@KEzm2f6 zHwXW%{n!4QY;Zmj)&>TZh$l_~al&-6Oy3ni*}E4CjZR9Sg*~Oze)bzi*DsrbeA#KS zR8qwZJj`*B6Q|XSS@d;f98(RRT~PLaBL4=HTZ0=k@93t9s|NT{JF=w;Rt7AQD;Vb} zpXPPv2>%}H?c}cu!C?ZZv|3VIfQ~ikoSw7(_4U|=X3`vabR@gO-mb4^w>*s^>nk-a z&KlAr#Znh#jiXnCrFcEVH5(29AKlAS^lMvuP5kky&Hd4YP5q%Q`o45iRy?v;NcEuF z%p=Ymmz zq-qYOhqRo`QG1(497N`$l<{8!BNT3fvH(ZRg0b+KBgof#ZT$vmsVidEAZOV<>Drs) zsMtJ8A*%W%YE4b(Te$Ba0>`>eb0+0UG-Wv@Q{^Ra$q=&zD5J_ulc{QN>4y=(O;U7T zW>urI(t_5?Of@`C(JmWp>fQ}dC5_+EIHqnn%zfGE)Fy)^i*_z=qhn#3emBwas@3kC z;`1lb)^{IlJLA)pzGDf}CmuNk;zfOP{N>9yVZ{e4f~}d_nDoU#hwQ9cYjp_?k`~Gi zQ#1K(bRx^{zI~h|yyfMOH)@yoglI@VFaX@1#yuV`el+P=XhgwO3OOcY>D9IchaY<9 znYVL|89+B?-ue+>urdW(QmHj&*jPjx7@T!?B9PJ9VNqgsXx;S0NI$Shv;5gPcF9`} z&`@YXtPzJ;H+jj$Vj3GWeGr{+Le zQ9M_OITkHh5pHsq-Av&}qo8L{dM{wap=`c$`70#G1I|xMfbvm(@rCV3;gBsRU;slJ zIWzp=|Ni9vr79aieW}p;)84w{YE2J+pb*_5xOi+WnlQK_;)RdIZJkXY)XNM2_{WnC=PB~6bo11F}2D&`H@yFE91R?1+Ct9=+}VSKrEwD67hFA=>FOe-g_P~O1}Ee zOFmj|mCM)&+*TH+{+`|+ucf_GN>kZ8(45^&BIa1=d$&CU5PtYEY;ZeSTT#R>;mF9k zM+FYKmR{!GQ2;sT(SxPoQk3rpt4*M!aI7Tldi?n;wIlxr^Ag)tZ(zu%1OMGtpI{7t z$1wX7fg%X1@d|=)*s1q44CYu-`#63k#pw9`iNudeb8;9Ik4G50`S@d|5uUzWG3R3C-;^?EB zl~RUbTj|?U+C`~hv+`hT(bKQU+1>N@!C>{$xg65 zVi*r(@hkTQv_L1K{`1+lG8rr)jDU;tLIn}?gtD{|5J}IfM^{5SOZ`*8ET_LWf;5sB zkBs;Q^&rU+NApc?4Ne8k7Ql2|dFR!Uvkat6ftb@!XUJd5lv{4k2DX=xJ3!QOKwS?) z1OlkQlc#|i%=FziBI~fd=hRD88tHm?{rw)uGdy^2Tn`O1tp8;_+@wE%<3D>)}rTLbACu=WK|-|2#y*{it?D zv`g5>#t@C_Aa!WWIM%}D#jD!lqxkORRN`a`(xF_UASg&>w3K(4icV=Vso$v6M~EqC zN7wXTRZxIWUMc2<646GW!wG-thTdg!nQygAH^?uJPrgFch@{R=JLh`fUiVGF%V>pa z@rpo&$Zd3p8$@6{oH3iU+|V?;g^UCQOo9%wRPIEbuOCRQe}>FMn)Q-vkE2bk8~Ft# zTQb3x2t0^$TLiwQO<}|enzm!1T;2<6L@i>4aB2}{i6Cid;~{WKqAPNsChnte^=d1D;~NsMzCSTq&H48j_^-tJd&{aN zwloT6YMyqjkM^bqgi4Hx2cEV)CjkvEze-sZ#vU45I@NCSu{%sqY%{&iZ=Mja9 zO|LFl>a}!>>vAqwsgxH>%KA`}DLzm8nQwJx5~6dnjv=@fI+* zmw9ABcn3#K#Tf8s^TIZdoT#~h#M1}$4Uo%}oSv%fN%07Fsx=9wR`S&9HX3&zm6IaxZMW_<%t>)ONiVfxhT z-8QJrUN^30VrtLgM0#%me|tZ~0?0&u`!A%zJfHr>@GE@RH==yWL}g)S>%enZaiq*I z;G#TDJW%ZzD-TQl3R$|F&DNb9Q`OnCny4Ok8(5xAF}$GMaD2g0dj`6DNy3LN7kUdv zav;BQKN#Vprgli+ITG}=7#<-AH!VnoV2)@_*O3_|Z^Y|cePH>916{r*xgKV-#LZPI z&%)$D+J771MzXS+9Gz0vpO=2Ux{g`kqCRjNla%Y(Dw&6M4S~_h7Jt(oSn_7af*E*W z{~ju(S{AML^JXnIb^jXb(xgUd!j{rm5M^a}I>F0>Bm8|MSiOE|rbT8XfAID8+GB$(`Z;zzf{vK;;d&K1Q(qW=;6~Ef6#*| zBIxXFZmfHIxHV6LyeCd%)0{S`1k$X5xF0Cz6_X>KG7D%PMdMe6iRQOE=16XMs)RVp zBJzmAps_wwmeVqW_D#V%#mi}5n+v;9t@Z3tR`j@qh{hifMSB`2tRS7%ZDG1}BH?W< z$El&=)4J&IPwICnDOJ9xoU5Pm!ZNZaV^14$lr`FA+#SBxryjaUg#XNh&VN%F{TM0a z8G_K@pwxYaC5i(jvL-LjxG0=(-}ce-?>u~#sntBz^Ucn#s1GL}T&J%PC!}1Oi6*Yn zb+Reo;O%uEugfY!hk3asScXNp?WC%gZb87QoggLm&&wVB@;>DI>pi=fetn}XWJ%|a+(Ew3lfM*_=Ovh{m$vRV^ zx7Ln_H6y`CG)!d{zEt^7F90NUmZ~41|9fQd%4Oa4rCISi6dAb#rQa&7E3hvu(YgJX z-MOkzwYTE?h3|RM^)yzYd4jUSm#LV5?7mTnf`^L6+`@dOPolZk#eCPjEdO-dOo|jW zIB$u+l*+;YZ%_KX9ePHH=P_p=QuI&h-yIst)GA=(M(Sh8`p)wMG*^Wsr=~9OESZGj zy$)S*`<$#Uo=s4R(}>Huvq!4Zoz5ok{L{_S8V5cwh-`b~=c#<>_<~R9aPn!L{N2|T ziEWo;<`y!D=BDNh-f`J~w>*)Mi#q&xW^8BZt(a_ZA;|zmSlYbiT>)?1~P@3&Y0XAMmuV4mE zZ}iK~s%ebTSJvdjpFM0HV$Z30Om`=ZFkSv_O__*&?)2-z(=#YTjLFl@_NV4rQ|UKM zjD3rveXDCck-mIx=2+oRMCvvQf2DmP&)YZ6C+b;ttWj2MRScl&QG{In!v-1xi;|Q+ zD@DGtkGP#@CeGxU1UN}t-%az|vqA5dkNCm~xCLbUWXkW15 zv}-@c4JE#_9!cjd0iN;F$v~~Czga;l6b1x-J^2Ol0uI*bfv$#A%2yLYbUT@3^Vs

zl%F*UF8moQL?f{gLvhz@IpEO@RknA@z=(AS^6)usGtKYSrn-#-6(Wz(v_=bk`v)3DL>@}L0 zg0g*0d6~@$I!=#%F~f#bw}BHn+cmv(FN&J9-6$=)m}q0q_rzb+G$aWH%-%OnUwO2G zn@>5Oo$*87y_@byd!J@CksOrxOAcoIL9wyq$PCAurF!mUf`*y28{Vdt*z#cLQa{nv zuU#vj+?ZRIc&rVI3H6Rpp8I;%<~vTyL{&$rwmO-|DY~y<*9InT(e`;2%e7^}E>j>o z8=g%O<{|Bv_IK0r4`XrBS4HIvRJ7gay-B)|D> zMgaS@BPF;-qCg>JlY^AiBCVnqtNa|-(f#fCOkG0vA#0Jurh7ceuQvw7_g5TRM!T(z zl{+bx@=W17Z{TT15u-~*X9q_;lb!1>-F=|IF{7a$v4}Hjy zxRp-I<41Vr_L*0nJds3YYdCjgPR}vF$9AAWwD~&iNeOzYl3!3|a$A^Bfh)i$13a8{91c>${;Bbqx1dR0LJx3LWT?p(zc=1RQoLwf!Q@Cl!J-LBfd=19$@_2 zyZKkaNYb7Ar-3h?o%@Rf>}0fFB}#l>QPaFRxw2Nc3eH1c;dHU}Pxs+=){$W~jba%Q zfh0g-erN6YuWgN>u8CiJ%!67#1aci4Ptaaj@w<_xVOl#g@Rpm;w&fN72|<&i!}-Vo zt1(c4_C7d`NsCROiWjubojYe-G6n?IWkigHI-^PBcn6g_%_I=Yv`+ZND~T-&$@uj{ z9f$wW&sb`sK5h30k@Dt+zT&o3gn+(>*&Tl^y>)MmSKJ?1*&LGZhRFIi#cP)iYzt(h zYTWz%=1(}jT`V=a8Q8h;U;?11u`g6T2?RQPLlT3`f%M*njECqkDL44Z^ba?=00#n% z4l3b(I5JWoXHtdpxDVvlS!()hf-|oIR=_k4oTHX-Zp3hcy1J2!dyKr8na;$gR`Ij5 zl(SQY$2Jjpt1;!r=07dv2$F{p_7BF3DZgxF{IAd$X3$psFU%1E<-)SE`VSB7Anlb) zwEh91->6ZwWO1fC5Nvmb=m=4nKkzoeLA2VOb1$_TpWIXqd0@rB=iYYSSpJ6vf7}A< z(CuiPNzHPLUDLLDiS6PpgwZ~9g?!*WN60aFiq2GIHr)AL@6G?OMf7Ba;e0q6Ny|C@ zJ~e9$Wgcctuqm^|AU^V}f}Zdw&r9xa^Zuk`BJcavx z=Q2)-18uh5e~_>)`LuoISFWLgaUV2a+i53+;{6rmBz7b1Vt-l=@lr=nRA`2rdKq>7 zTZrKY^aM5dye9MyjQhrw{!*Xt?=KSt&H)x)m6gqQX@3g9cX-`4(*}SMFkMrEoBscQ zYmMv1+_CrXd+QedX3Wi?<);-GK_MX*E=5R%?xL3>v~vP5LNf07$NDUHAWQoBcG+YA zCHW^Hv}7e=kz@kMT7;_i0)>XJVpZo&^?7gf->Yu*W^BkVaEt1iV|Pv+x=B#JNO)lm z8NHVL)02xNe>F~m+mnI7k0c`-$ex>3vAOYw2A(UA`;bqdwZLOieh!x$rF#Nsiu7u9 zO%dSu$4&j`|2lpm@lY*5%JEatZQK9+^dFnW@h!s}hN=6Ee_9rARyw}bcF3b#B(0pG zbyNl5bXqmY`e)m2#ap3&+MX;YzdLC;#6WaF1oLE;WIGy^L@0!701Hn*9(5nv7|Ck9eC-hkHlh-p%s$6>K_IB03OT-|ssnd=W5Z%+%C) z=MUi}D>q6x&_FNoum9mVm?jmuC;+LFD-35MCU?i+O5j4<*-NeyP-i|uKgR>mab@m9 zuMRz5%m4Z0|9!;*T0SNnk4;0Nz7}et6-8GDpfGTOP9Kj-Tm#_sZsdnn7{lIzGt*U0 zCH>QCnNMivUt2zAEdD=V^6v}6PYP(6R!E`UM)zkLp+YzmTHw;;wQ=(FSJ7;RzuNWV z^8LJdk2%<2khr0rP%QElVh0{!{ndZFv44MazyvK5C#`)B9m^;14r`FRyO8l#O+$jO z-eLU8v3mjFI z*ge%Z=c{A}l=hL~RsM(WnwV9u^GleA>MdT@qGehpWtuxCadUEQsU7G8ZA#zI35=_L zQ*+TEsj?tn|L^boKaVDud@g}Z=rjBp0&z|rfNIfiltzG$?YU2?FeC0|m9it%2l9w1 z%!x!Aj2k-b6XT77`1&n^p$2gDGxGT^(56X8}rX~!m>rz4D6ohvn%*xtN%9A;W%c{(&FKoV5VaI7~3i(pj zx^6H)pW@+^?3w5s3R%^|V4U(Hfnf%R`vmR3Vsj?XSTH)Gcg8lHb>+J+=AEB^#ffZ= z%zp(S(rI2BngI8~A}|9CO=SFM+B&&#vNYo`f-esPdQUprS*~>KYn%dUDvHU`kt&!{ zbu}if!v)h!_W~DMgIh3F#}A)o-s|OIGfchmYp_}J=iuQ@{~Nyk^{UENJ2KM+)Q*rz zO9D<&KFxw3V-UPDb0`g{l!nodGxzcS0hNkEKSwg&%`aeCL{jW?R+HGIDz!MQ%cEzk zk?(ST!iwO;bUg(uY@~yZ9c%}~$Z+#9Dq_9;MBybDQ-I#~Q7KI}WFt^!%GG4&h2%0VI&Th# z4yR+R7MhrRY3d>>{%X=QdpuWQv!p6oD}4Ff6nJuq>4k`a8tJ$+4CQYwiLzi+?&Chi zG3MyyPZ_?%vO{s0sFe%nFB@r#Kirznvgvx7)3W~@9sjdUnAYl8(5QL$3OWnV^=V7$ zSvd;_I_D`S!@Br`PhECl@l$fE>)c0E8BKRMpe>w9U!sxr>=&XKqSmBK0iEadi<7W z-^~N4$AcPKKaq*l<`?BhFIRoJ7)5HH1}IT-O-Hq&d9Gom%ik}2S1+BGk>Q$?t{b8; z9sVm$;Etwk%<4CCG;&_4FC!D-4JbF&_w~|&XPyjN1x=w$)Y}jAf(B)n{I-S+g2foq zZRS-s!98jqB0ct5lc)d%-CA-+On2eS5jsjuJGz`g|i< z!6fV!f029U6KJc{f2r{K7KX3K5>4HQ*$;)^gxpIsV=H~8C?K8q@hu3aKc6z(ZWmfH z|J-;V#e!$=JtC^r4aCj0IS35~b2lHyHq~++Y+sykbR!FII>zU?ICs(>f5e@(XBt~V z*{G5)xn?u-1+%aFriVVhhE+GWA+T0v-@>xKgEsFM{N)~79I)q!cI>wU5;wlTAIFMz zwZ0CN_D3q5Qm)yRu&|`toi=Q{K@zd-t_9v>pF1^UOZpCaGuX773ik1OEM2qh6JFxQ zqU&NhWdSv?&}}(f+IQXC^t+Z$22Sv`Bfd(@&dXGHjzQb(LQxR+tQS>|I5clHpH+1v zyUJ8hhTrg8`7_gFT3XyJ)Rej- z8sYh&RPHXLz=$_cYtQ9O&8!1{m{S@DI@0qae$(gS?JC(mojNKWsZhQ5A6r1m;l1US zvOXH2+W}~(ylsPRUz|qQ0BkJvQOu-s_|wDg32hPIPfo4f!FSCg+8!XT%cdUT=B;xV zF*r2W+u3!-=XQb?O&vriYUZXTWxTbn@d{*I+ddp1G8ws+l=31`O^CTBG<0k>@Q$91 zRvMPvZ!R7RbBc75x9fV%p_l%0U!=YFY%R`p|CxQ4oz_1%OS?TSv0y`#u*_`f9r-h& z!5vqo=AV0fE3xb+CFe#YjWM46Xvxfr!_Ne=##^+6x5V<@l@@)da^0U+(RT3hdf|u{ zw-Y*EU3*gEExyHmH1ZOY_+GuL;u*Oms-x=sXWWA;OcTxcZ+}*QAnqL2$uoq(r3bqe ziX?15+INs_B+c;p>%_Op#hq;veK);#R(F25z-p(o?1VNY>YYUAVlw5zvvmm*Qm4(@6&1O zjUrojp+SUnbJk5)j|xGW=*YI7Az_)t-$l(bW6E)Aq%W@)^W4;q1e!Hiu}kn_ao~_% zRNPSX`R`@*&O+KOcLB_Ua&8)XKcWpu0?-=8GeYEQEJ+P%icb5`6cd$;$7;;U6Puywlx{z%(w zM|oxkTck!>yJuv|P0>qQm1zfhqxU^uvqJpW*>kP=lC#FqLxQqx^n-H~;$m!W}yp5_ixP=W7{du>bTib?Rtv z6=fH-&1vsMSl4;0ndVlG^Hqh>-so-6^ZrAZ1Mf1s=waTY2nNzx0iAGN`3tF+!ER2S z>k_3tk*2U07(*N4n&QyTh9{!a;w%BI z5_VQ3j5ZzBtVzNQ^<3FoKc8zf<>i%(s0=Ri)sd%tr5}F+t;WUU5FGN6pvf<4t$hz* zQp6-K5c%__ZL)sqhNhId14uhGa+#EQIrVyumhgGY@3_{L4qPwKZPQ_m64B0weXQOL zOqykWKkO)FKKqO{;^=MV{hy9@Vz~5YZ3srqjgc#|j6r;I*?7>d)2`Xa^cT3RhlHyT zeR5;j{DpFtj%T%l)~h`?#JU1*yOd&)D=xYqx>ih*)kbSPsX|VM>2RZrIE81L->~}V zqCJa>16xRjfZ8ESgQ!^hjC=H1I^*Y{X!Fk7Wz*MU%TDiY6pByjhU9S_nf~2?V^8|+ zd9|dhxG`la8!nzUVMhD&WQs>-aK@@I{vq7r+8^36K3V9Yd33pl(W7S{d(i=2`OX09 zaJyCMDS4(p{nAWk&`9Xw9e=1YO@<|D)Fz|)qPSmTpB)pe-WHl9b0*Zym0vhB`-clBBZrB?$|2O!_i&0wIGSxXY9Sjee{|}=12siV?(zR7+n z&vcRZHoyf!oHx-rHII}oa53EK1A<0!W}#?l-8EFN=n!p!a+gGVy;*M+A32Ejb-cLR zLMR0ofw`5?q*(uZ$SBqcU!^k%EIHM_k`B+R;oYGJ&{n~OZZu-A`WNYUBwf+T(b z;$3AYE{n5a5<8Pa)z#Kr)E@n5may@a;~{%B=g*q}bB=)ceAi2P{LOz>=;)IT zjV)d`7E=BD65N(ESR90F<4_PWc@Wg}s~wD)&cLBVEamed~P*h+ySyr&!(t3`9wfFPNL`dhKx^5-$z1V(@ zGF3Dy;GR^jEj6qy7mci^$ShLk z{30d}e$YX>ay?No+^}R>1ofvXN4DvH6mJQov(0CM(QZK3jLr1Q8(vJGmwFw0?kSaZ zv4B=^O_&ai_s*;_FhN!wsENc9w7p6tVVcjS=tf2>Nod`s`Z+!(^0`N2q+chQ zkn=Kmkd%7@w-RCPFG+_LytRqaswZT$6?j$W?Dk(JnfKIYhuCn7Lz$~o~1xxOOo)se4Z`2S`A?HKY#X?Gd zaOZhAP??~lIqKdq>vQ$7s0MuWBtU3o-)Ep6$>g!JbR@pJ9bWzbU~oP<$e+IxfKtF3 zaW;LtLSG8C8$os%KQ`+X)KFWUWUb>&fBid0!nmLo$Qt>x2n4WBQ0vq+qf#bi^|*0T zg~vhBcLZ_u{Nx6#^MFT788;kAeUx{4HDiZo9QicY)4&{-d+}iqljlHgnos3D$yY+^fq=D_f$bz){ZS0f{-{UsX5 z#pL+WGAdQ4=|;ye-JzT_)OS%5`F9s#GHM?(g#_%8|4g6uR}A5JLAd%!epOj2Fq)Ku zR4|F6v%Qz*c?#d@OrT98wXbZb~}myf;PO-FiN9Ua@44OJkAjGui!S)8TucU;|)l zT*pLxC7*EAilv>y^utfk0A12Pj}8@z?AaJmukljT^8u<5E}O9d4gwtdj>`PCxAxle z8k{aN8Cg`nu52>_G|(yIh7UTe2;LlrkZ*%1r_R-mMa6XPivk3>6sckEjz{Sg?3UPV z@sC_j^|sV51k{R4p_N6=zP`5~dFtMyo{S6{GZm!v%(9wkilJ<&m*^tOchn`txxvMxG+24*!=sPg?GkJauM7}anAwYUT z7p(mp&+IU<|_2OS%9>*0UQefY|PXc94g!x%YNKKch0EK3ER+ycn= zF&@Ak%;~x)aj`m&-Lz;G2sBwVo!M!Ds!atOvo`{r52-ysZ!UbPkbf%Sm;B4WnX1?= z4j@!lTk?E#jATBlTxBgZiCQ1Wumj1<0mYHg!A(8hkDnoN0hL%xb2o#P%GBC*q9)ha zZMp)@MQ(kSW_k3xq}E4u9`|{(YlW(j5+}Qm&RIKDqQ)pv^HVq;*h9 z4@MaVb4iY5W zdo)iLfebVV6s?;dc+NVL0~Y4! z0|Ur6#Wo0!97YoRXpQUv;|`|Eu3fagV&*QwRVuHmrml6p{MZcDFe@Ru8|>$1hF^2e zgehgJT7NGREcNktGNwQ8{W>09qHuu5;FF-@rm`K5sOKd`>U3VG5~D0yk|`(A5cAms zM2B7R)i($x=^$kL#1QU+-6*L&2mQr`h!WEZ=eB*>XwvkF z=wM-fQnS-8%_`*2;N3GMw?u*IbM|vyLK#+m%xx}=y)_z{3dZ6p(t+P6K&R<~U>q@_ zOAcbrt;^@^{At@rwfO4pgMV?Xt-WmuXrKQKhW&*bW3?$pD|J!`)q&Piw#NMR?qeJF z8mgP2)j`SR^7+SFk(#3mkl=-}aqWw`-#BzO&Ol9wPT2^aJx}j_ccRqBzz!p(=RaprmvNuZ<*FD!t|22MwYjyqg!!gh*bk zBd_KrE@7HghH+fEfNEHfLz$Cw<#gKJ^nUfrpm%fMj+X1$VQWddy>#8!zH$t`99RN1 zmz%~$wrxH^;^%Y=OZJX4oo-{(*WSP6vNaz->Yr;dYx-%`u}_|O*bG;S4-^~H3XE{uHWf#aWKO^zx-6gZIOy2-1Dh)JQ zdV)YGwnu-pgUG~Q{c4tLvZdPrNRKPO&qMtNEr=cM_ zUxrn<#lY?Ob2a(Pe%2k_HVc$*9$oxG^hqbN)TH9rbx~~jU1R_UR7+Be13x+V0<}p5 z$0ZamtvIKnEO?!LJ2j5Ov1j-7wUF$YS0d4Bz7hLtr-YnyJI&{&vggisCPY>l6;L!> z`Iylg#xPpO4}ybn%;r(=O-SRO#H``IdsM zTm6(_Er&(TmAL-o`lI)p6$_C(E1Rdh^A(pt+MM_Kt{WiRG%}s7pwncZ?O{zQBcxYO zKwH5iE@eMe-z=h#`K8mu@N2NAT11sO41BTXMf1-GN6)2Zy0z_m*40-auUxNdewh&JU4PL($JW!^)WHv7Ah+c>*7BuQMV+)V^K*NtDQ0LG z>J%Q6N_;s`!x|*vuWZ66ITSY9+H}zO*X|#`zvc0cCW2^3TXKziGs25tZ@h!0vcN5& z$H$+wWNyGRduNGuY`NS-eeY!#?fzmz#d&?Jc##gQPDIu4A5SEi3@Bi=P{m%n0 z6CpW4m3nYSTr8qr*Em!SSAi=$$~=;}eDhh;9X2HyFC*UwBoyt5!|uyNVEOhY;2lhU z(gG!Df1g3hfj6Dy)WK)%?_pU4f6+FJGmTCWTV+DzKTI5`5XO_Ro**iN_oVd1+<< zaC# zgEuseh>{S6BYaa1|Lvmx{n#8mmn5E~5yPpTiZ$Tcfn?<1_SVZmvO=SL9rl;e) zr=WRIiH<{Bp-&oH#UYe=+1lXc#;9@Z|K}3<9R_s_NZo{JX2{4Pme`Pmlt}>b))`r^ zxCWN%QwH`*Wi5i^oe`yutE$}e4q$>nVWyd=u`CA_HU{=`tF9WBJ z4tqA@)G-|(dPky@p%F{G1!w64Sk4tP@6M;)cV<8h{WM+CWcg_D;lCmX}k z#=hKrZZd9rYc2JEC3o3#lqR}O2Hk9^{ezy>D;=tWTd0NedvDnRX;r7nQT zNmpQ}2Fe5+Ua~}L|EJO}uK9_=l9gdHmpx-?FDbvqX9H#!9PDd@PW-;~0xavi)>&DXrNybvL0<`Da0ZV$4pOzS! zzR&-NV+i4a8-f0|0P&2ZRDdZ6scD9eE=WG~-u@R_jaatsu|T!#t?Q}(Ni`nS|G%&W z9z%m9elk$IGOxlss%OHx9_?u#0j;Vypzja#n`f8R(07YElj7N!MMod58@?c3VEVV$ z^4*sApYX&TK+ekV(Epq0@QxzSD9rDzLuMtafmHhesZ&tYvor9gUcOLCbp<#`CH!XO z*Nj2d*&=Uav)r|m<`-cH8kGL_$N%$ic112yV|S?1ABVbR7225G2N+y^K$E%-v^ku- zV8RcC2n>-Zgd>fEz}WgoAmeH@T#J9LXQKLN$`l;$d0jW^X`G##Bw}VFWlhF@O@&e{ zvQZN)f8vVv6t4Z)fj}_#TWg5UUA!O4beaBe)ZHc6Gl44N@GZG0gV)Et`*||$0nTV! zABgDMXBvphfwVm_M)9M#-_V)Lav<7hWSNshf(V{aK2Z-V=n19`dDdHjwqq6-N9#)V zW9-I9h^}zCXq#J$-Qw42)U}`iU@80;{=&(1iq8{6;T2N$DNH0b?{5$wfK49zoM0xT*LiwTCzE$Dr`;uP*E>1-Ajz$n8UdD;iL* zYWAR@34G_vw!c47K5ni;UiQy-xr#6vk?BuZ1w(X7na}H=izaVTInMuMGoY3c-Ah!wKdyE#NDPMOO;JXWA{=<8S~3)Xdq>4bJ5{G4QKMc(GxS^0~NX z(A2v5e|U3Tzh%vq+K`{SP~2^tI?nJv{DrN=l&?o&EWRx|r|n7d>*iVN5IEN&p7jn| zw~6RI=mLR$(3WKjgbnQAveeU}f9JHe7-5sEah%NSaJ`BFd%XS$)IuqZqbERHrtvM0 z_ict<_F~j{7DQh8KBgtA12dx7y(*d>iY_8#GVeo1GIBFhgG`=(gjJszJlJYOEe0-e zr$hE?7M)b(LW*>dw~q{Lmj)dadSUGN6_)O>(fO1usV500k)H9s`tC*E7Yn41x78SX!p zeoRKVY&Ou4CTf5QfYcr~&t}4~FDzZQx8bc$4KTn}0F%RxZ)vDn;UMjw7oD+kG8KI9{du zv9Xo^=HdqvTdC*B&q(}y{aB2LfR`p)wt-*50mm!RetT3OX|n>2+LK2gseM%F0^x37 zH7!!ESo=9m9=K_*w{!nIXcz0K?8tv;`Gk)dh!QCeiU;>q5>#^ER9`~tOKragL<)q$ zb3GXf2&i-m(RbIN=aE{wCb||)?j!0TB(#j zypEnJW=FL_r06WBKhXTeN=e>&o($o;Es=1T!Q(OA^jd`JJMoB+E%fek1$b4KZu0n< z{TaCh6*9g%F|7AFoD^PKJP9@H6%urnaOt{Uk`Ue!M@KFi0IVlFJ;^k|W_$fBP4q`e zNas%Sne_H?^IE0T;I$&zR#L9ppK zw+hIfR}*D(tHZ+OVHO5l7Q|?=?^oI3s|07T$Uv*oTu}DP{VzDEEXn@U0WIQE^=$8> z38N9xcQ)PHw;F62zbaUt^Y434DX9 zueClwPQ?x&pQl5uc%@jZHH<7*i6V~x#6w}`=R6i-Q7BGiI|6WGmQXxXKVJ)^v+y^C z=FT&!@;gv2=(;rf(<>Df;;T{J+JxaLW``Kq3yhIwd;(AXTXXE|cv++4#xETI%#IfZ z=78+pCo3V>9HqR`1|Bb;6v5k->UTP^26;G39}&#`@xGS(pL1=XL4-m#q^1eI{96E8 z@X~&bxY7q4nsY*w)Uqgo4R(d`iSIa^@57Lwut#dfe{RBm^E59<;hgIS&hkWtos=jvh z0M;d1XT30=ZR~2LoN3aCdXo6UvS|f4k(67AZb(M(%`6Ty4cI4kH1|LTEs%^Us&W!a z=37`U7kuCCT;DmGMmvK_pP99y1Y`7)lw3-`3)t#u8C8%<&gx=vwgScqGZD|owbCNw zFq?kf6m(+;7Ie+%2jeDi$@a|R{4&*TmiHb?&UDNEww?6xc{6Ytph8fLRH!cr_z75v z*XBxxdU)-Y5y&kb+ch)Z7Qmd4p!{A8tGv*k{;QxVxOSn?U|d&_>rsj!ATRO*^}vM39dYy z-{$|Z6ic;1S6s@~Wo}|S%h7_eU5ATbM$`J|Tu9z+JKLciT-z&j`0Mny_23u}P-?D{ zw6~I8HsP4|;%BPc50}Y($-X^3)q}q0WU%*B@rNT9_AnMd3)J%j4*$-|>wp(?x0|?I zLbXoiGjYASA!o_8j+#xe3VZsBX@ov@z~YkLb>+O6a=I2SapzwJ)&oeCxNSaaZS+}S zOex^=xHQwF+wL}2Vbo(;IVJS^L_g(O@!sYG1ji)gxeMKspVClL zDKEN=>|U8{+UJ6{GF6HuHTH{BCrWDT<8{ACKU*(v5*Nzuaxv-JV41oZcPR6Y zOv~lpVk0X?efrLM2MgtEcc-g=;x1gwrhisUVYcKtef(a%ZtM0n!XhRoodC8a<$b-6 ze!jt2PP^^Y(1JW@}p?nm6?0B^m+=5>bxt+|J$r)o&d$I8c=m(QE$1ebq-TWE6?YNhg+ z`52oc{SqM`M&Tg`ESm$jz`wA3^fle^CH>^`loHvJ+82jgJ$h(ao!Z@ce4Y!kNJd0n zOMS6GXR%%OOuvz9uI0&04$}<S{>K+%w(bK_nGlYREs#0FPSN^I{eDzYqowoP=c1PgZ$ z5RACv=O{%{vF;tR(Svr~R$ut+T?x9;d4bQjbTES9jH0;Vd@%TO)&FbnJAF$Sf zX2vtLf4-`(>fX9%epoZpLci}5_g;IgwW$Gpw76`We!m9*N3}n~#R}AMd_M4MtL57o z1WFQeYn%#J6h_;l5T}}4};K0QQgmzEgz&Xo^#*2=XM_*h@V!i=v-T!yCEu7 z;r}{Bi}Ud(qifa3*Nj@rtb>2RlH@MJq_awziYHgQYWo%*7F_ z6o35QsC-(?$e3P=pH7;8hLUhy=yBD6!bDP5OMKk9bT>Jy$*f(XmQC~w#A|693P+vX z8!~egajuo)fqh^>`T{i*xtp^b8fj0zaP_gdlWheQRaA5qVTa|Y%?BQ_39CCkLm<}* zG4DOs{7y)oZ&oF}S0_nTJw4f>V?!_uk{%#MuZ$5Yu6=VjXxle;JlA6$k?+3!(8N!K zKi{@>ZO&~?6e_Xjn3T7gLk&;$8mq0D;r5D=p@r3@@i&i)jiPmqopmzk-!GMGe{J@e z`3QGkba#iUlaQf8uv9Z-^Mo&c!~76onp)s;(~(dB?D{+%1h)gZV*g;0))94wDhGaB zZg&(;5pjnt;QU{fUePhe8GZ?zuIpdM!TD0}@4x(9fbA^s4m}stLCkEB*5c@X&^oDQna0=slk7H!b5Tcp2wblX8&JR!(dv;T%f zGtW;rx6CH-(cRr7(x^TIZO|^$a0waPvBu-Og;obIo#Q@F z$a~~J@O1);=~}5fTsB9FZIc-2{l<|XcC8;)84JQN7!UVzNu>wc&H<;Z41A*bS5@PpCV1*JLJlXrSP#^ouw?A)jNGlGz-;Vsr5@OF-fgtfU( zlx9l^RIzGsK*yO$#>SkzIB3UC4&zHTGgZ@qO-<^a8jwJ0V z>MwXp=f_4Lb{n{XydIT0-_J@_K@BJ0S(DHCwe81#pGE)IY^LEnCHsIIGzrKLb9g}~ z)XLQ;-z|)cqy`xnSF#3;H~9KW*rbaNt*vyfl|dOzsm&CUuxF6LFqe)FYcnMts=B+8 zbPt*y!=rkK77eRCC+XWACCtXyIFtJi#r zm1ji=9QnI3*-^cB$(kPs%kz2qVNIR*ga;BVs>a`rCLKT=;)dMR{Qo4JV7VzA-PPV3 z^8}-!#A`K|@Oq1{)hKacHn~V2sqfI|$77S6XNe?PNSp3?O?QCDB@qbDsSR3Ys*71; z8~K|GlH^{TstmPB8!s_n;%Wozo;BlSOcIG;W{Ug5Fb~0hR^?%2cv?0YVwh2MT9yBs z7#9@PCgUHQZ;T^R#jcrxmmXtl5DX4)!cFcvC!GxMO>NGNs{w?isjDz#V_pMjJ?17A z=)4nOJCeu}sWZf}hI3@2aQZKUmMwXZc0l5HWeimDQ`5F!{tX4TS`B?oLh&;@QgyWI z8|381UR&G$#F2lkjbXF6K~D1DpZvdWgibhVTLi##Ru@r0MdEvrK4$nIRW&R^(+5 zp%>79CI;vc>JCA{NxqDvX5{oAAU={>ex~O^>Vfho4U>l>Zo)4$#+7uvf1vG1+nBAq zF1o7qH~UX9XX3~I2P!aY8^>FANP2yPq8AF-?nOQH6OQ~x2wLxUq19b{d$buyN;ht7=coh7fH!XVR3_R?!doHc* z?Fe`V4(8qT)=+~%*QHTb@MbV$gECy-k~6yZT!218m`V+_c#YSDbj3(5Qx&yLszsW& zk5D?&?pw8#+i+)8FTyTr5Vg#{whk);)_%ow4O~c&B@qur^}}Se`N|Mt(~~G@z615h9f5-#qL?~x*ZS@roW}VDd!qo2vqGu{9je?S)GmH91Was zJd_JA#aAkq#K5;=9tyoQo@_;{2&5(_!k>Cx1Be5R*iV3|G9m63v@SS;s4b>5XW?BD ziSPyrv=CLWCASTjFjk%&G5m!;mA(Nv>!nm5$m?~@8xx@b$bTvJYN+S5Sd_%$1&G3@ z%UqzG^&d1=ori|KtTHO+!yQJw*ftcmogi6rzpxNFZCC1Uv~oWco!6*=e&j z@it|_#1R037YdPT{7aSMC3a?%V5py61%fWilGr(DVK4X^}JEf)AG9DO$t2M7WC zNVoIRPhC&*Y}j5@E?k!yfNO-Bc$lOqeQ6am^D1B2c6fR>w2I~PsIOUg$f9)=jrNVy z=$h2!%E&pfEy#52Exd4_GH@onL7{ODI{A=*P$y`qC?nDt ziVsMf9w`5&+JRV__F&a<1JP&+BCW?Ej!QC4b^wkf^R#LI0w6>M)F;+{#-1yK;__~k zNPmBq4gp_19+&&d_ErDP?il2qFbR3vDP#}|B}`jX#W@K=8bm}}hLkJOZV1_3aLpj- zBm}5^(s2%u_Ap^b0F~fCj+lvHK7)QE;@!NB9RdolUK>v*msAxhg=+AwLOJpYf;2l| za|8e>$V^Xf#AtgRAjruLxyWLy;Uo!=MC&jFOo953iyWaK{2X>^`uqE5dVQpByn8Of z{h8@3P3+q1O7Qif3AOop><$FvudgA28cI>VOiVz!%I9e8f32Yjkp#Us zB6qtYqNViq?@E3E9tt9c%aQv(oE+A8~e`7BPsUx2Lg|SMOD&_2B5I3 z`Ylsay<{;#eYp?70<_UXM#+A!i3p63W7fJgDpd zjLIZPa0QPNa<8V(4MAaDD~vX?XzA3(y5>YXN?Y4Q!Kj6 zz5m3@@@qLh-`7=NyP-X_kW;E5?sTyU&T>ecRp)filLK=3ed9V4$6_}rYzzvx5w9lX z_TzlzN~^#^K_1O`zQZarMbXS%w#H6U(M+b$W-q`Or7gcJ34OZJMG?}E;s$8 z-*jA6p3eh>jr;1GX@%4+s(i7AQn%sNo^CsLAFjI`I4{kTeukBHgX_u9jf`Qi+8GoY z4vwH=myJ-4U0apyYYRwHM4a_D5hqQ5M@Kc6N@#ZY1C?*+`)J06E8qy!n^s7@{(aN- zGYV|_z{)TU2PqX7pabiz@ZP2&&suJ@hs8hkHa!u25oH zXS1J}xdf|z3tZZJL#B}qS25^EI#YoE*g0SiqAPp9Q=nnF%fk(EE~xW&QJfogdmz&4 z0V#f(qQw$|eo@6r@jj?c`HP@9_;r`CsR|>F;h+Z2SK=~1$f3Vb1x<;o>s9%++kRO< zyaFgL==91>=VBBIVwiNgaOWx6liyZQ5vkWXy!imI26O;NLB3CxDS^39YJjr716pzG zG8UbM+UQAeA?gVPQS&u88N|z+BT%!F0(c0zjtbe0m+bgO%=YT>Pr15h4>?^D=~up2 zQ~?->I2hx^zKy+wk8_1FQ(taxgrnfb(M3d8`NJFP501;T*~Pq$u46!?E)yKq9+i0f zd4PKoEzbjwQ;m!REsB6PWlCp~oY1{H&%YnY^glsv@N8WiGf(KAMC{Z%&2Uq&(edV~ zG#0XNT%K_Sz;@nhQk1l8(LTAvcLKyuHv$}I_m6`4aKfElpJ^nSK-yk}+7n$W0c}%1 zt|#QWJg)(2Nv|@Wv^V{zrWEZUKU|peVkbb$Pf&+)YDYNy`vO4HJ{(t{A$9G{5XwiP$q*E7Ah? zBaO-WufkvPd~DP?RCG*q2s%)mY%4t07$?6W%9?10rLxu@?6m(se(%4-^UjyDU``eU5*72+&R zOgDfg5i8WYC^}tTd3Z@#PDDI~c<`_XZsV~H=*JQxgL_tZr=0vhQrGq8Fn$Y>>eK7- zq|laXS4iVV2eNCFNWEgvQMiKl2M|f+pc(rhlw4X!%6PqD{{aE`Fzo$c>X_3T1_J)_ z=p~?X{`WQi$Fo^7awRbtjqIL72nf7bul)3%Q&1fQP+(RJ-ig$lpO8mU;N#sk5f?1c6OP(+u zQ1~;6{#WFH72yY%CV1_skPoTH>qje+XW%rcb>30{JA|-yVUNs)0|GXeEesdI&z7Ck zTDH)GwcPKvpN#=v6rNDYS6@CEU} ztKdV1H%4#(Gfl%7h^*~2;oLX|Dd{ikOCBrrGCoURh~ZU-A6;7b?m61XK30;PE2 zYpok8ipDo#(ljR?fGUgiB*?2A!_WMO5*l***p57l(F;R`AS7srzv2XLH?*awN0n;0 z@^nAqsZF+lx+|TesM|sTjuBe7*CSl(Drjx+_x=wR^hYR@u%NUKMN20k@%9^T-iT$u zdcFgX`AIBOF6nCM=`x5g6o)%@JN8e^g-JMFoV6~1-2KO;bBl^ejwIM`u*p(js~Ci9 z+SwuEBQgWF1clB#n5e26k)4JZ(;gHdKOohA`gG@!^~`+R8)Q3TmbnDPtQXsKAcJ3L zdfy=c+lGUdH$x$@aJB`>yzBE~?sAT=APO~12m>O)1F z7TJRIGR*!7U%Vyg=H123)gZqg#A)kUF2QcvE6h&>p=uBC6puN6=Yyiy_hkLz9)}r; zgO9Vkp&&SD(F(l9o=})7Mg5tnNmQQA8G}^M^WJLl?ARtbPwvhi^ZUy8Q+T+`ZI-2w zXS&5mF3qU+jWbb<4MVP3x^tggLo6Qe{&s|BKOZ&qE)7K{MJC3B$0#`<{FZ&DM|>sS)N*RzRwHIYG^r(HvPk<9Q`L}F7!Zt zHSG2w9g@nbF?;ZK7wkg~%uKjA2}kw>G4-OE9tC%hw71e;o3|f370We;+QxfrhQ_bl z_Ls@?!Je!Myev(jE%^4a#!rCH5n0S>B)mPMky-&F(sCx_Gmbxv^8~s(%v&gd@cnrFp}QPP zx{V;t7=fG%y7JbnrMrQF4-$OQhLt9a16q;}v|a5S_cV_$V6K~COA8N?L`>a#Wui`e zdormO0Z(_z?At2W<`5^gmx8880+>cwH_B)dcI?{h1{*AvC#efHkJGvK1>C#>9Hmhw zNibYs&lXq&3D!7;HOyy}DNQ0NFHUE&x9x1NK>iN;YeT z>R#l%noa#WX6s;m!W*1=qT@$!G3i7d?Pu#?MWzA*SNheT*9_>v#q~Jl&odP4(C9F~ zAFz>DI1L`$?n~sSGC($z%Hvf~t*!wsEzu)0$PqIx7z3GNpko&|b>gt%wKmk}dO`bM zanb6cnK-bH1zBvznVXOzFXkrEK>j?b{%*;bB22_F-Xc{cZ8ZuaRWr2uX>3)(Uf>^6 zI~o@w?IUy$+Fr)+VKneMV*Fm>c+OCYFktQG>4NC&{mqua_WbPU91<-A-gvGqJ#M{% zoMU8K(C>(~nwGB8;Wo4hFra1SyDQCp`on1*K!knRE+K?DH%$#sN(IZ{2 z<{oNz22(KJlF0Q_t|QY}n^si?00zhyhtuct`l|PH^r9mjn3h9N z7@Qx(ziw?PzN6H^QZ0DtpJQ1vP7ym_h;_(yAxh#n0y^G!Skqv*kH$smy`YJCc$lge zdc*cOnj3C&@UK6p*bBMlT2M1-)@2p%@6}zgFHFX+W^%Pe zb#;TB(GWqoFE?!Ldq&Z8XjOc%8Ae664vmP${5zOkhTr_Vw1 zMc#S^B?c722{NP=5#|Z!N(P8jIZrKXmu3qy>B?fy&~4d%g=m4}YJ$d!cO@>~ z`$jwRu)h|XOl1m=*_0M#)&?6Xw^qF2ZJQK7GBmbr#+e{y0&)3Hjvvmo@*^~2r!{LR`sQKp}A({5EVF95goO`Mx z^z@o`G5wP7_%c2_j>XvX^#?KTWQth1J^dWVj@c)0yxslk47}f)JEG&Hy2jXWV#tKH z*o*PTV{|_~bSpS5JP^Y&0-l#S$idYP95wPBc<2hCsnC%p<#FYsE`pOL^g^yqd~Z>&oN`@KG~C#FV5>;o0UOZOi$Jeq*7vWVxx%8ck6!FM zV_!}8T%AD$D@@qF0JvFh)=`GI$O)~ZGKDOe3O=GyXLN36$~g;_(|SI_uX1QzCBHye z2|Q`PJLq$(9yG-c)>pRmiSGc#W=@u=K~$DSYhL|GA=fzf58gkbFvAuIP;+Y>I#QvVbg{g+^&2{le27F%brzIHG8JjvccOc-2d{*6>!c zTPbR#dkR?ySdt$mycdHOzt`PsD~1UY#7xaX{`yiS2}x0_4)fhkPVqXQ#6;x%xceNv z;#uQZPC*Ckm+CGm$w9U0;M+4M|6Z30)D z-{P!^);rD+k8n9);$WRtz>B197;(QZ!%mxcgnwKaJ4AD9x)s2(9y#Oa1?y=|ZlB#( zYCc>H3RaP&J>pO(UYMp;Cp-Oy`(c)5p{5^nQ5w^eD#l6BvK*&w@5?IG3ku@k)KLn~ zOj`lUSP#9~(Pe2?-CNLJ^Ky36YmdsQ`mZx`9nMi>be*KynJ7X1E3V4&jiaL}R}{E0 zHbKc?P%D<|j{;SK@JC$}beK{+YKf)t12cG8i_M#2$F6Ma)XFsNb5!DX$8pU?N>;Q;JZO0W;eip3<+@hBT@t#qho**~XDcY$u{eKK*(y%z zHGH{C80HU7nYj|4*=m}0$Xn&)2gO8obvTDRc0zY@QKRTbk7176pd7?4dRb3GDzikP z^buYA2N|MfE_C7+RnhCaAq#Y^wb4H6jczM%@~_f`H-3;0dS?smp4Hx6 zq+5bwNWsV$>IP%kl-EC2*Y+0h%21Oq#U$f3utCT%m={nEmFrjzk9Puhob^UJ)6)=v z@)Z-4p;sR*Sw4j`sWzoDV&oJNvPHKeON;86W&%`F6bpAUm((r?whSDin{HsRBB4JLY7{{?9RihDeY%oVC38j{!xSi%Tk%DUrnP4x z^}OqL)~|u2mW}Zc>NIrPG>qe+1q&o57&Own8uO8=kmpcv@ zm3vmz`_bY#koN>$O^8S$0w?V8<=Io_D0Et;LQLNp=Hi1_6? z#=ZbiVvpR<_i{}bQhPoL0uifHq0X!qkEEFtt|{_TMoD|bt0#{+Ub^@##C;P@fvNC) zLihrd^e)|d1THW6dcicV+&=NSBJX60FL5PNQ|KFaaT4MaV|FOCG6_L^8;=t;jf(n= z@h56(r`?i8ecGGq2M+joe_k!~V$JWs$II8!AFU4liUVmMuFbiH<6#LDKHhziX8Gry z_vHZ)xp(oi^DOiU4R$mp@-PkoN6uFARFc3NXfSS_E(5f`y$IsUbG4~5;!GMpSwuZw zA8B))`DEUfb0gYwvTTSbmuIY9JA z(4E<)kRh|{Wj3|1p70+oa4K1@D)Fja_-7QdKCUInaQ?428u_;I(e2#_p`@8K=+Z|) z5PgD5dM3Vp2yEM!f(34SYMUP|ztZ=UR9H=Yf$2K6^MyV1KS!Et=_J&xs!%ivai8gE zYj!pWf=h&oZ$b}A4CyCmgeP!uaq{gvMVQ2KjUW8ySgvnyB}L$)0 zQGwt7?#BL|Bwic7J?bqPd9_M`S;lYL#=YGEUFVp029i2OVO*H0sNG|Fbl?4^-yj3r zz1496Ur4P>m;>BVm=xymJr);9>|qQUHja|o{bJb#k~bzLgN!sx%Kze&V<{B-)`!jK z3KsGKqjbvVjjIDYPg}i7Xf>wpH{HF?GIEj;U+t9?{LKKa!tDI8l6y{iX>{#`S3H}` zC`2k*hcWBnhXMTG`*JMBS(7aUn20lnt3l3j#!g!2>c#c3Xe)F2=VEm}g4wRn*}h}X zZzg*Ztt5U~BB>Y+&hSpyBQx#1k&>iGf`K1KV$wH?Wr^INx5OL4df@0A0;X2Ds@+ETchX9%Q8_oPHEnh2A|L^Ag3JsN(06hvCI4by;5 zoc0F&HRW6?mc*^&qeVfbl#rVt!btI$o;?ka9nD;uzC=Spkciu=GqkM^!)>{hRs&`Q zqmXB%Kn{5*VQa&?OWR*vnd~Wh)v)<0sk_Wa5O$&1bj8kS zc?Q&x#qGPkQoXZbJADTE#;a21Haf7K=X&a9p%C3%UkC6|KIn%NAz6xv7=&CHJ(LSJt8AJE-HILQUyyvrDIhO zKbh-38ost{l%STRmFHOJWJ?GVo`tBe6`<)vNG;X!?JUHBCRfwv^|K#>T|v4s_2ecG zDq6#@Sq{^N%3-Lzyk-a#!ttxOX0-@)GIk_3;gMW2u#M|oBV)pZh~LLE^XWA46))R} zL$Wdoth_8>uC>4fe;|SglvXWSPeSy9gw7*yGs*uUXjFOm{ycUIhqYuC>Ld@61rxBn z&43pVph%{1bTokkpaF8JIknO1+@JTlO31U5f!~LEOS48n zZfFh6;<@eW|ql;E@iX#H(45xJxj zvulqSjk{yNIEKpohQz`R7@;)nyUrk~$a7ne?Wv zR7H{ih(~~<8&Q>9CmQaf7AT(#^>0_To&w!fHth>;vUrXtqz6S9Vgk2zau9ckS$e;W z3rMgnK;gj`k-(9BZgu{hE=VsGsWj5>-4GxZG<`e>*X0fXL91xKFQ=}Tkg=|N zDeA6PTjkr0+7w=5wyrzjM0X!Blw=xfZd`1<2TpGhEdC6Mq48Y<5cOY?P)ZN3<53&H z>lYUxK?dF>UaIgibn`MtB8?Ro9KJXw5Z63R()*0~Fqc2S9r6ppF_27kuO5X=W9L-w z=z~3rc+S}VkEjvc1J(pg4;W8$b(o!uvX25^j$BhABSYgFwzsgUqJyne-dBx8fmgzo zfnBP>et>UU0Uh^_gdiY{dWAG&+@o!|wXJ?h>Y0iX>iWPPxjs>wfRP%5vumg$EY4Na zn4|WYK9Dxk)tN~m?RR!S2{?pPIdzZK&#LAD5~cIhk3t6+5T~Orm60R48VmMAV>bpK1Gohx$w5R zVL5Jb%9lk}sY{8Lmscy}3mvvGRbzOL*vGu_Si*3gMM2n)0GrICN8|iD{OW=gr9Mc# z>ZekzIpIK{iqGY<_2mF-m~4Rp7H+Kq`_!cxpF6yHQDTDkbV@&`zY@SNj`^u7*nm^H zC07*WH7(Hmo5*gH@Oew;$DByL^q@B?62{E)XKZ?9QVu6w4Odl4R?j?n)3*XT@c8@| zQiMgw))j5@9nS7%!1LOP<5aXPcO_Wr&Au-wxnH$4<2LE2sOHpHYfN$!jB#F=YKCoa zzct0+0kr4+3f>FsuhrQCugv)Sr7Ch@H2dL`5j>rL9mri>Os8KZe z`r-g5v$38~saC+&h}rh%FxR;)^s%yDU;_*3k7?i86p|Yn^_&P)Rz{T}CScHWRsC{f zB-1c)7G%u9kVRI35ZzL%8fX0d?GSOUfAU%8>RrFd&7>ajGsRCb!bt<7YDDg-%n2Vy zPHrF8Vv>cFR=OCz0n{u zm1F*kx{^htQqYg8kmKoyDZdk-Gf_8f#D@;Qba<3|bu%q3Z zD~h$+Ba$3Bu={}jyy@oihd5BQ23Dul8gkdU2@R$j3wB}+{up+wP!d?Ov^i{(y zq4u9#&X87$kp^nfwqBOg3T@;e9$bZ=HpcpTBiCcEV@dtvrv2vBsT89 z49Fo(*0t$}hN3t^$C(H%8NjRbEXQhy^$Gdilc;8&pj4^l^ORJ6<)edj#&Xgr2K9D4 zczrgXg;MFd5_yTh?XR~Scozp^B4QnlP5Bh*V(0poo~dYfoivGFgeSc8)z_r>(GRFm zcZABXhdBa$<>fCB9H!dI%&F$xV9irwl)a8_=_PQ-`i($S37>XuXFq*%8z@}`NI2Pb z6k+iHXb;bMjXH(KIV|USdHxgR6T2(JD~6dU5%1SE!)#G=<8t#AEnE>`!ec!7x8Ic~ zcUgd`+PiW&QmGyGAk7KNvrp$ke$%#l2M>hKsYP|a>2fZMu#pSSS4kD60DpMO3?FOg zn_eOfKO97$(EhWrzd0DX{K|%+6Y)yajaUy*D zaZyQ}!~p?`$U%gK?U)o3{>{f~@bL{79Q2MSg^2hfMCkv^>8A3vw?ymILE}2GJ*hh4GKQWQrrarUgL27-%&a9#Vz^|%9i|=?nWss1`4RxJ6 z56$d=QFR&W&Ka-t?O@8HXUvnQ<<4l8cOtf)QcD?gpY8=X`yM7m+2D#I8#8(lAW; zVP=T+(D%axf5neSeO9&AcpC-vNBsye7hkW)d(JGsS|3bfRgG~Y=RkqmQ)3TpZc}r1 zQKGOI5l31fcfe4QQ%>cS0IzEVs+MX|GB3|KL?=>&AF<+LeMowz?YIu>hyJ(g2i9YH zwm&VY`W$QpiiqXCzuAFj&~1m7-Zs)3Sc59eZ4)&ogD4idXSIOg6*7p)+;K>*2|*mg zHPK#Bc;UAkh}aJkCqbSxy9|wKq|bE2pBAXIL(C6nmRtJ`wonu?L+iK#x_xKcpdI@S zfJD5SDmB7}HNIXjC))yJ_L%~~F)!G~wfesLSwOQ8gJIC=h12ai!8vl$YJmNIn*rS( zp^1*XMiAGvfa9DIBoL915)<|ao8E%>JqsjzWm6E7^6^{2@4G_*PLSCE6jU_ebI2taIGf`FEI;f4q>yv z1uN^`rUHmqF0VCkw(!jH1&OrR81ODbQ+YcA5 z8OSMZ4yL%Rx#ojewt4@zK+T39DE?HwGageN_y)&(DDBTgEzA;}Dmn{@CFt9RkmO#4W&CTRd+Z#wb@8rs7+ z4726ZFZj@{86lImlsOr??yjW^fh_OxAxHs-U(Aemo~u0xK$*K6m562AU|4&}iMhDF zfZ6&zMDThW&HAk!nXgLY=Tm> zr&DF&z{&*)%%;*--45h=rC5%*uzYLa{^QR=oe{&64j5ks;B|Q~4Y2e(hF+kgu;&Ov zK*#5up|~EX<>n6je64&{R#}g~Y-;+nU$_I@wO(%1@b}YrB69!ea9eYs z-F8299j&-y)d`&oN8vySe31^tndM_$Gi1n;MTM?6ofFj=eePlb6m9|M!Q&^SpI?E4 zAF+9#Sa|m3zKFj3akDjCbT$VkfI_1QV`2f_8u0h~;rFE{^5>sh6Yh+t0f!qi=3BCk47g6G$_EIuD3CCQQ+Y5kkKz*WS?F<<~Bi*$@Jx<|0g|a~tprP&E z8g6>AQ-asXgnkrn>p0+!$)c=_*4r1gm;!6pG$w6PY8a}x*6riMLXY6Sz;R6gq@4H2 zkz8R#DO#Ft|Dm(A`^!`I0X4|IFEML$kySSszuDTleFLH*mORsC~F^c-+c_BFziGqBQ+fdgYv*ux3|*F zr7X9Oz#YdMv1Z&<d9VbElEmA9Vyw~WS z7^ZuhW^UO~l}{&dUjL4{@D8%)gy%}soD*vl*xZk8{%0>AI5Y#`;?%{jpIzY=Gea=&dJVd#qi}G z7IcEm9FBur_w`ovlCR^G)T;1Pe>l0ObF<=~5vQc~lMx^1WA-x07?2a#-}bsxKg@sa zdq_U7eG5Gs_5A=BxF-e4S8lx1_kRs^Y{S+}vo|JwU*N)H9)2q0^!Y%cN2XHTxP|3nI-HHoKpGy@6LyQEcneMG(}5(HlTat5 zvFNQBE#pQzao_z%_g)HF#_A`$R`vxk?@${wkI^T61NY+3O;chXWQWtievpm;J{P{} zY5(S_7tF_$4*DxAz}B_V_?modsiDhC%ifwbKhQ#EO!!^WSuxDmhJ}l8Bl$LjbVQ;q{GeiA^ z{h{$Wm$}2e!P()(o6ajVUEpM;%vik$2jms0hI$9d;^N0K=+s|CTk)qpSu5mc7UXnE ziZzr&FMaQSTk?7S+Is~?b36Hp4QgW50)#9kw!=GH1n45``BmgP-5*fCQal&;rK|NM<`*pRdGj3aY zD+{}iQ`=Jzhj0tvNBeaPZa(KH3g7DR;a}f+@!kR#BiT%;ZUh~5R0;;p7v15^ z5BX|dl>vZziDqlv1vVKJFfQ)iJ`L1F=c6eAOYQ|u<#RSMfg8h66zY0W5A55*DNTl# zo|~wn5;5zWT8ZV!qXRylQJ8QWk;j6^#oMAC&MiUEYSGaa)*)DIS|4vM{jD`QEE>op zGKnSVC`ZRd>ErFK;I(4$;g79qDc9ep9GMAgA6aD|_nQtIedg!1v@-u~CmF#$+a3m_ zc}KOg`=T}Q`LhXO65`6uKy1#HR?6_m=x092Q1hxxS!zwFD?PV{?4j*n0kf+vP$@m#vT6~v>& z*(+gZnhPJf)_NT4D0l#I?N*78A`oq8V%)su2EUhH(T^_sx|wdz-4B8v;na){Ul4+8 zo6|=M3oTY-sLtxv?g1h{%it78q6O?Sllpj7+s_omOjL8}a80kWP$v!su>_=jkjMx8 z=bAWB^i!bO8>pOfZbC>xKi0T8oNDNl{R4~~HBj+NB&x8?;iXxk>z9GSwMt0qo+Om) zwJPWin}bT;qog?~#Myn`bRfG1805ou9r`OngCXdO%qa1YF~Ppv|NbVH(?|>MJ>A@r z4^Q8(wAiE5ZxwLssAKy8wA*ojA;5qC{QWr~EwjwX-dJ!5{aWRGwmjs-@o$olLvqq$ z!IU9i)<4tq76kgEsAg2!4K2BEKy@<<TJu4qLMCv>o(x$djgryU_?m z3h4SD)6@gbAOyu#P#C@4;e0)h`z)=}kB%BS%JWpKV8@`zS#5wNGtN^DFFdn;=1x|A z=7C`7DyG<5-v2WMytSkp0zx^hV7ApvcC zhQ7vk@ag8|bZ!C}_i545dWcKf#OSB||~6&6-3qmS*no%ae|;mjzQ+Ptdjv;J<_$h0h*KDkCSRE{=K5Ao`3 zj)SMQk-~Tdnt1$#Q!OxT*x1o_TGMCm{YSQ(KKT^uV_)8$&|?ni&DAd0u(ROD+YCaA zB#52W-d=cW-7GNLns+Z@DO8d+S_Kg4_|Dw|svqbf)47L5p->Gve;d~{@0|Y)0KrRs zxVM7Wr1Amjq%M~alCQ>cF)q@XXD>97uWs}0Kl2-CW*FcP+t84mzX4Ayf&N1HfAz~T z*tXM*1HbYtup_i=;&$I4xHks3!ff4qJ55+FiEt#Nxf)Twxb@FT=sL(0v1L%!zBc#P zpZ|-De2q3yudoGWZIEB4!*Q(%rzccU@Tm|}qm&QL`Yi1DR@iXeYhF*KXrb6ReX8y} z^S_7RT7afko;K>$oH1T`)qoLy|`72WTlImY|XPHsAAhg+Fv*&^3e%C;wV9w-I5_8T*tgA*a3%X1^4? zB=;|{*jfOJ=@NnCXB+>{|j?R3NE&vy%cf<)O!HD2Y;w5tf5 z%Fry>0-6F8W}4Q2?Neny?PH7bSoZw2r01o9zpXz;Ir=xka0<7cQ|^UYouI;aC7e|s zdF`3DMnfr0#J2x3kA6`>g@D7m%v`m4GV|XEY?!}P-;nfA|aV=-h2Zj9NEy~uYrEwS#zRnd@`KLm(DzY z)IJWyNy$QK!mPzelW!FP=SbeD1wyITU!;@GBTm88?F=`aYJzo1UeEtPr zmq{skdEnAWVtQp7TzFa#__dp1DZbCBRu@Ddx(OnxUIlye%e?h%5y0@xgwUiJnqmpE z7lVE8D40ZLK+Ymqn+i@b1n^6M+F)V;)F%0B?^r!n!>OlaK%MNT*RKi<+6JM{)CnJw8?$%M-$z}jtyQ#`Ovk4a6t zT>-i(f(`~GQ^0dJf*U3UP>xn;Iy!Q>8S#&?hIp-7J6S`7MJCr{)>l=H~=C_7?d(Oq4* z{QtGmIkf;-`!4tLm#Q_Ea;tHXJU>7SXM7)pc(aQ)sMZ7LTa;2y@?&*fww1nUoz4=J zU2h+__>5YDt#K4+_BkTPPm13FGilT@!f`w^Zs%Xs#V6Tt{@Z&g?fd0=XlAND6Q;+l zjt|KWeAft}dhV1~iHxoLML9^M=_?Dxz`s?d*`@$d`nPFcg4C{UzwGHasy7JeTEB%b z1puml(tf@83z+yN#=XD)XANwM0s>p1Y3BVyRJ+XT;uur;2)Q`vC$Ay;7*^Bv4iMY2 zB|||eDoTX=p>|X`d)MASpUh_yjD=XqyQ6>p5BRQ0hNJpL&M83<3vJ1^O=H|cMu-oC zDrMerNcXI#|1k7B=l=uco*Id8FpLGTT-g6t9ea`mn4MON#9shS&R`1Yt4;5Z+Q)db zez!ah`xF_YT%QGIR(70^T?ll?d%yBhr1I2{XI+s{=;qB~ucEWMH)r1Fi%sKUr3&n*7wp zZ2DyePXJn)43+yYiU`NI8*2+ZQ~|XDIN=Q5J42gHYRkrW)d~xqDu@p~mIN)$fei=Y z^ROML`aYb09Pean%UzOZR2BA2x_t?bnI@ozlyZ1|zDjl5kIDGZUlWr`4ZL&d=K_C@ zCoCyQ7kDx|VZY%U;I7N{Yc326?7o@_#JPN8e8Oe&%h7;6Y6If?Ky&Hm(9UgfNM1U# zgN|ccGbquYfH!OB=n&jFUl?iWD;g`oANFMX$-?i|b5Pg5-LkKWT@N!0z;hOW?DlF` z{+vl`Uw9G;SxccePyY(8y44B+L!ML=OZfUVJG1$3wyU^Y49 z;4ZbxbN*ZYwtp+ssC>6A{d&83xIc2{i4ZfYWK)jd*Qr*Rz9C{-_XWC4t>usz;7Jge_x{TZ$%7nEO@nI z4*arXfBAV%MpS!`lnec3SN(DechSP(T9iX4MDf>(`Hzz34lYO|{`=+sG2-hZ`G5Ja buhHHw$eZM#JXlEv|Hw*Ty?{S|-Q)iNz@68v diff --git a/man/figures/README-unnamed-chunk-9-1.png b/man/figures/README-unnamed-chunk-9-1.png deleted file mode 100644 index 0d9c3fa43e40223289a8ab2642b31c64f776b86c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 90023 zcmeFZWn9zk|2I5PP)UQ3662H(C5DKUo)#euk`oX{BQbh}3I^pVog<{1(IZ4ksZpaw z36dkEW5j(7J@4!H|DEUc=)NCauj>JOZ9CX^$M=ZO=N+G8?^K^Wq@`k|f83~f6i5N1;%|KZ!>Xo4k|=+yov zOI{fU`Lp$z6JZla`t{sbta6qD1yf2?Q%=6(+3DJQnB2pBhEOSr#)MT^*R+l7&cv^H z&yG1Qk5PZ95YUetyG|~^nlCurJBe7dhT#xLcMRp1DheYs2aFMZ1eW@E>TDjaj zHn3H`eFP`ut3D)qJL*4}d#m;8q#5Lpv8mY5_oO`W>zM(QoimM6Hu0Ay&o`7pbS@^+ z|18GF{3Y@hc3*%eJLs?x|Mt}EwJp7qr<{J`L+*%Y=J8%_yZ;TE6Z_;^Z_O*BPucxZ z>qh)5l~D8zB*XZLimfO<$H?z*&Z4w_j5xn75VAx!ojo$Ev^=wV4PuC?_IIROm1#89 z@~mc`bI!_^=>E)~(H8?hJO0WIQGchkdHK)%(wne&DulOsJk1RKCCJ1ipJ1WK_O(le z%9ea@+k$m0pe<`}cPeI>%*m050~jJz4V`@W>B%tStQS;StRe^CKkuP z@a`T$$~CPHzY^xUZ`@5ky7sdx`^$=j*0pLHZ+D9vMAsSf7uWi3J{Erb@zoCd)vzBo zSgxdA{>c4J<9X2Y?%N7<;w_O^ou02(cK5lHT~kL%1Xc&mxym;m!k8Y2Nt{IIESQ^Vi|N1V`-A7uf7TA#7GckLK`{_X!^Y zUb|eJAl9x;g{-pIZ+y5e{p7h!nxK}AF*-FxS6q9KoU;vrtaQVihEwYA|JeQ}`_cN_ z_D4=GpQ*7QGT%F$P>v{vao?|o6GDzKN0RUK5!H-kl-daDuHK;F z9iHd@(q9_BJXchiV+?qG##q?HMIz@yFtZ_svZc`ec@8qympRL6(JmL=|6Nw|K_n%& zSNhb7=!qwGQ?IW*mSwr>Z;SDGy|kI`;;kq>T;SL2v}$vQ!o&;aB__il`{l(emhr$^ zwZ+vw$NAzmy2&8Rgp$(Oh4&5LeoUEA6^QUL(M*3%;vrPcVc5IV=}Mz4rXhu%BDcQS zKR!HQ#=EDPIiVy=5;PvoBHB3iUTec@9zE0A27bhj;aH||E0aq?TZR}J+# zDy-NXPQs?Xo89#>$e>q^(Gl^$1G#>pZyZvQbadkAx*K(qX@46C5Vy>pJ~mfYhVX&s zry*o-EFmYsGcxeU3jQDv@+9)V-=UC8I`Q}O6Q4oc1kS%$xr5kEY{)_l59a z|NWY$OL8G(U6D1V1{eQ%H>7@^g-o;j>vux@A{j43hKtK1sqg(;pCDx9Nq0{C`#5wJ zgPYOc>UT8$_jWl*IQ-wQc~Vc?7h=&irYA)6FXI3{QziFnbmgx2je8S2s&{AN{9Smh z@z2AQ&6x~d)E9@$&q;AVHd(IOHd@~v_lXl9Fz8hh`SypI;l~i-&Qxdzaiz{aJ=%my zbbG`pj>SAWIrsMMwa%5A?Zn+f;>zgtcFEaz^Q!suoE^sp!K`N9`>PLKtJyIwOR*XQ zr#QWyHHUBz`a5KZi-OZ5tpkxx7o-N`^kl|MtDF-f^d76z{~l+tVBdqZpqIzfB4^|` zVB{%SBwJ#&WuKK6+3K0EJ^G^iJ~M?Z+gE{Ik(MBqu*LFm?{~D(0aFO!W;Xlk=hG27 zPc9)hx<3*YzDn6ud=L1(CtS19lPzS1)6$_ujJ{}~wOtr?Y!htQa>7cNcWjx%9NGlS zf7qHltShT#?yr~VTieZNyf2AWNQUQYFC}04dtD{zkyU+`Q09pZI9}r=DW7u+YOUy` z77L4omnvryMMp8N60-@eiE2!C28;AQqFy^MdNWiwo$$8hO>s|`KatzlY)0xLH*p={ zLtT$4Di$A5|7;i6i(kL;dve6do&5?Pgqog{gZMqUoFqg5Ju|51=eTL|nnl7c9uE(Z zoVkJSylp*pAf>VGN^!bxdepVDGw|c^&t=R?EG=~K^Zw5Udb_qe>+PmC4W#u zQJd2n@LyA(ijCGByMH*~zlKmYEtNLR>_L78w#cU_J+C zB}ZWPY|>-QV~ep(WR>I|-nLQC%N^&_qB=(hKdmtA^wpW9T{F@zvNrKVo_sIOpC;q9 zX~|J~^;ZWWzCVO~YL7RmmOFHs9sGW91fgfBWA?#{kJ zx{f2aT;U4N&gime^7lOizU=ckrtbu3)9YIpm0#}<#DfdWl_f; zk3^?}L}TwW={6qp?j%ozqK@oc3+fK5cJ~Mcql}q^ispO!2ixNvfx@+ORjbxS0d%{G z$Hts76mKJ%x~gogB{nuY=DEU=tugAt^&~Nt<{v_osO&PP=WmbgoKoxMqK?Z3eSa>omJKgwB}n&(j}UKLX!t zcbB{Fl?Ybh%*7+np_$!Tl!S`xK}mOXR*lD|NY!khU|DpG+vGbW!mMtgl1`ntm5u!jZ( z%{xdCN=9UrJ<^Hkv#Li-PoMd{9M^S_UUd{qv`5NpfXFu{YT6PazK)fx!x$N&6V=Q< z&hqajMmVA>oexTjvuB2TY$v6E$2I5kepVTO&AR=HCSZ#QrCqA>d3B0D|MZUxl(#~N z%--DdkB_;|Aa-vb)}U!?p@URO^>P(~3won}X3))_HjxYZ8C6aP z%ix$2-(5swC+~%kW@pY}i=O;@w0c2aKk9xd{z+`u;7zUdGS{5EGKJ@QmPKKH{#B=F zE`BIybsv;Xd5sK}oQbX`4nKpXV3U{Y+eNYQgU^t0$faA=6euz&KLe8!A8bPcbwIe* zu7Os7M%#)9M>I_ZU{Ajgu^B9^V3BP5H5(N@dQWka!;{dWpx@g!;o)T;*5HG>KYk;Y z;Ipb*DI#f4B&QkH@%DB88c%LEF-Ynvw9;rb55~X~S+>5FPoS?HJips|w@=bbEqzY@ z6vq#)v+7JHrT2$4W8Xfq?GspvcwWM*fnzqyjuc5P7deSk>(>@kNL^~RTt{w?!o%Nf z*Pr67Xb2y@wfiIN4WHP2A0?a3Gn=!ycK68V+_eHSXq&56bq>B|#9C#4n9oFPk9iiT zQKr)l?io57ouXs6fDS#skeVwG3;%v+)Va6x8|(h~(cx_Iw#>nXMxC{x5n)xg@1&)p zYQIsfBUn9EN~$Qyc>6jpg2b>zYT;w-quRBud-O3o>xUpo%;Iq)AOn79Q9p2K{#2{8 z$a&kKzr1;3^FG!WTYXfZH_@7zy5JfHEPuRV2>s4`plN<_Oxi{ ztpVVFtvIm8vkSHx5(HG56>s8%G>kINYuF>u{{H8ZCGw?)4r;VU{?*nJQ{R z)T*KDs5pC0OrN;7dFlPp1stQ^s5`%)%+s7HTxm@>DXF{}Ww6M;Z&_j}XhEao7H4(%64KBrYb!=nsc&eW?K z&H@Z{A!NvFy~9vyQfOsweJnHo6{Tq)Ix;!aak^4G)-CH|KmQKK$@KkR0dGja2j1yieAA;mNJ~ zx%CXsPoDYt>xaXdN1akDi;3M8A-U65D0|waWN7AKuAW5r+r;a%@FX1yFY!Np-!GRB z8$QYU5t9?4Ra211eroIfFC6Jd$J6Eh(XdkeIPZ9z(d?x#8ZBE2RoTXxTXI1^L<}iO zaT%R=-7X{h@?#d|(>Wxu+?;pYwqJM5u5@8<0h?pj>!9;JUcvfjdY{lw7xGVCTnLm< z+Muuct>%ymx~*4Yhz9#n3n>#)601Su#q z{@{J7AZ!2z`<5jC>ScMy9p%NrFmH{{9NJsgp@9;MIm>kpk`ulszCaP;;S-mx$XdoLjhUHSKqp z&pPW~bw`K9?*@B9UAyR3QS6-yTfMu*wN8P@U(~yku9=_Y+qLP2)mWU8f@Z3frPFFx9f-%g7g?cVRK6=V9j;-%Y|_Fe?qVQY zt~_MolH1yTz*^Y@x0{bobM_hVc3i!_{GKqNwKtsWvJj9PWT-3_CbS@9*OEkw4_9;R z5FhyDnzL|lJ<8yG$T%E@G|<^8ysD=fHFYiYj!3TBOsX*Sg?)bYn!-^(yU+frv81(e zMuH1fPQ>GEng+cnFnSSJEME~N8&2$O@tbaf=)Glc$Yr}Pd74e(DNjGGQJCV;O*cbj z>-h#*b#o-a{SHXzhBG;IAop_z(Y6Pe zqM5SYYsL2igwY*P{jcm>g#8>YYV_1Vta$&^hMEQU+=p3dT4+Ok>FUf2zsGTb#Qth) z`$9;OTUG9}>n=`cVJ$Czz`qq>P}`7OlWz+ZlZy@+Xu92!ci)r0akzYKc{z3^+M^&8 zGs$;DQ{mnAI{I0Zqd_tb74dkQ6O`{|mRH)}TF#qWj&6N3-NNZ}N1%M*ZhVI& z#xAOlCYWVj@ea!en9etAQG8x;E8l%#%OSHUT4E5pq=ok(1Xm+bFm-RX zb*W?9AL(|KNfpiGa&$U{VkZ>kIh3D<6<7p42v*Co8L8kw=l7>2qMDo`5~D7`sjToj zEm&ud@w+RtAZy;JO1A=k^{LRt1DmU>tDn%UyeQLXI;hYa`%?u9YQ6SWY3RFwfvsduDoHVhgKmC zR~BUQ^P6_7+TU;xDw2|-h11M;n~0W_3wq(^W&G2U@3;ecp5Jr%Gc}&2nqR!9QM$Gf z8v@gr&v~gu^~JL1TB(k_KE-w^`#20%m!Hv}RwEloCALR1;}*H)SfDY~=BTOmxmV>u znk>(qy}4Ao1FM|8nPOQ+n{Z5LhAq{_?5|%!Bw4nCWpx}>S2`rd1uTn;cS2cKSC>y_ z9cdE1=vhP>8^b7QIb}xXP{k4O1cbJPS~PjpLOcwh{&p*cuBpd5uihhc>#bs1~MNc+Bp{h zQTthAl-5tW(M^$5qu)20i2^seiB2;=4y{+oS9c<01~q=1O|`3EtqoI#>K5Hwv(urp zG+;ev@g5sx6!MA_<-KR=;WR^Zla-a%oCy&((&fiEqFEHr4DKl1H7ss+*VNh23*XV@ zPvh|K%n}*~ygQzaTC4`erK-N|7L3SF!mhOm+fPoEakXY4ELX55dHL`dv&frk8fE!h zB0b2S(xxe&JxHdAocM!`0EV|MWSdjXt&)jPAKM0@H6jeFetw~j8r`^y_2R{970r4k z`!hM}=6d&Br+C?WPkwIQvr}?58t{N&o{9X$E)a;Hino>GhTre~y}l0t11H$GvmC!( zJKZiZ?setoPr$xshWK4ei=!uRp2Z*tk(dVAmGB5Hi(>Yr8Tjk|VsbOl_8YI5@Og7l zo-l^X8W4HW$IN`3$PKl@T!$?yH7iTz@toYUv=dpn#706bfI~aBGmbVX`3tP3#Y}0Q z+snzZw|=r~M^+@|8U`O^!FBI10f2m9Q2v}krWb2`+q6&>lGn&pGL#3R0F*mtii$!| zV({6CsQFA9WePIJpBrSV6nkDSp8_ylL36Fqn#{Ho%8UY=rZs%gx7!5JKT5Ps)%J=3 z;f*8YV>;{dzF7;R?3L|)aNp|rVMz7bsz*?F=kfv?D`QQ{`LVD!Hx?{$V*}b@ae$@& zf|^~beqZXe#7lVNkJYav^ckMHNyRL(E;m_nrI_Nn(!+gKMkqPOf(Fu}rXUvV zB}ywg%ft#HicCdbAZZm!g1v1hw+zMu@rDPlN+!W*cG(KL44^?T;#;RjBF^@kcASQT4!^A_^EKeNH646zr*KT7L8SZMs6USNKCMP&+N$4gr?6(aS1*`qTo&gyU! z$8Hb7QA?f4cDoKyhZ~Q@G@H$$44I1C#F_F?xAgZWs*GYK!fy#!7Z@|Dwc`#S$9->lv7l6VB z59J3MnHJ<3Kz!qcGjq1D^8;q0UNYQ=2YviVtvHgUsu)USiF62f{j{^c$w%SWM4TQ8UL>2FiT`MEp}G_ zg6=#!l{pClOKzr*XD+SI_P`S}w%fLA!{Pan+QHRjUIXnOzoYEjAc#0pTL-C|B!%k@ zQmC8L$i;<>zT<%)KbBtMj^wtNQrgMj&8}7qu=AMgidkPf@&2)T_3dyeKP_Q~Xy! z#pL^TE11{nebHy1eGBtob>7ChQ(k*1N&0sbD_{jW6mJ>7Dylq7m1Sydf=gK?kn3N2 z5cF0es>A?<^2foM-=D1hxbGeRghH%0?10BfFYHQ|#nV%=O7hyHkylv8T z8y!z{Yd&U~b?dLXkZuG?R(!YQn85D%^~z%}Y^jfdO@NWf8@tnpxjow%Ba;?$rDh=X z({S7tBk{lUQf0~b7Rt`^acLK~%H_)|ZkI1g<1R@Kes(uG(fy7?Lu66EwG=mnb^}2+ z0Qy7!t?W1yFFbB{y`Ve>{jQdKf7{oH6i(WwY_}KU4@wF+TrNAo>UthM0V6@?#Tt!kS_9Djz?~chG|)Cdf{`QyJ8Q-345Emn1e0+1*yarCZdxUq!!;0 z1@@3OkWLBRiIQ3d)H!-a`f-6~6n|@gRAdL6QNO(nEpi;C+>+A7H#^Ky z(K*V{7mZy#RGZBEynZ<{| zr_RT1>TF)`8}1BAi@xxoeGLUqbpHs%W(jT!4FQN1rkvZQy7i?{S)ii{T3%Gy>KvqW zDCZjxuEKe4#2^e;Z&P@e`c&~$u&zYe>tcNcj@hn`uef2z?S;%j>HIcxvH(NHGge?M z2QQJS8kTTeyVdfe3~xuxwEBf45~9a}Drc}EYR1j0Xfp%v&FW>zHe=Omx=Y_mtKTeZGI?aWMb1F7I@Vh9Mx$xY8`;V~z~?-kcZkKgy4o zAIX!{2@4omaB!wj9IL1LXx)@Y-Q@$=QPGS_cWY(Q9n`ow-I~ltVVng~~0AM5Xzm-iw7E{gL{1mF=Fn zRO0Nfw~As`lMnAw<7CF6Vf_|66tuVx1^SqLocR#u=EwCI2CLL@?FCUC{{MjP6hK3`pdx9KiCAF@`J#OtG)y*9D% z%CMfsfloK@Z>rd;dS>%Rcr)cl!XMtz4l}W&(L+8FU;S%2wc`cU<#fn<;f&!~{iPj1 zQAf5Dn}6$|1hro0)TsF`+qPow5++4t_&-_ABbQM=@i zKSoQ8xiti_inq3l^(vVISSdbQh2XEd8j|_$Gs@@CQfBwZh4t=-oH0eFEwR7?X>eW{ z8&v|iT|5h=@V_SCN?4B4Vo5pc94S&h_9MyWLEy^E<12MXV?qNvy(+RX04|nxRFcB_ z@D}j&%ZJ8>bQY`EJ3Ha6ycsqM?=uoTvXwEwsc(6q5(;8I6ff2G9$1uPN)n^a={f~Q z=0K+tZ4<7mX1Vp^+2g3X9tD1i2H>w0eljfyBlpB!+Qm<7>v_ow967VXN(-~`Dts&vgeb{MWSXpragu87ZT>SOweNFCk2%8?{h0#|OeLm~@{hs0GN&T?v_efUdCVnGq+tVw^%W{7-}8TQ z05|2s`=;>s2s463oEIH(f<%EjuO|tVYza^a2vkhGoJsUtw#1q{&pDNEODjzQabtL~ zuz}7zSiJv{{bUVe1^A-&Gu-hL#WbcL{F#kzdF%JA8NcB$m)V(k^>NEKG9h+aw7_@f z9e1Jy!!0RL073G$;~sASyE87YY`B$VSkA=R*M1wxNX@e;TM1G)VAwaXtDGMBPW7Ds znQkTx8&m-9w1@0`K%7}^;iUIlDec$euc^%5?pTxL*}S?Tow~yI+l%Vp0*dF*^64eg zUX9g!_T>z>SeTN?JL13`7oTeS=Pw}f^v`KH)!wG!!K@Bj7l`Z1GnpCg&gLmbbxN9G z0W+G}*c`$DBG~~XdpkhttYW*+@ zth5dQI~J=NRDd7G=s*(KW?oVYWzG$DdUWw-#G5SF675`fsRassStK1lsl9-2;&ddO zI>e*cwl!js0YfbScjVgso(<{C zDwkYlBIPq&+-&U|w}gy^N8`DN(Ii(dcHwqMk#OC9vE=-xu#rtZjE1~WaA<5nX51!+ z>&SPm>>e43kr%Jx1bD{}bM13Ke^eBjZ??keqP*6=Rda8TjxzpS9w2o=c=L;`KF|w9x964k;nBvFu9c)|lHBOJC)Jzgly{uIl!dw^iQ(eA%E|8FwVWuG zMgNp=?ami*TTp4?a)Eg+xauvR)PuB#p_lU8lFT3XKfk|Vo@tk)C{XmeTNnj`N)5gs z{)j}CC8y?*V8hOU$`>cC%qPls{?Zb=hu-pB?~oWBOpfhpa#iaXmNnW2<{ri_Z(%sw z%*;&?$h;J1=f8V)Qc*Kz@8FKN7XU{!>4+ULI#89ScJ zfD(wxn=-gyJTqdtAIT1i2lUfyuK1`Rf?g_7-Kqw%njNM%+dR$|>f_d#<8$bY8VA(W zHFr6Ri&kBZFK5TJB<~W|W-tEGE3HJWo?$5?WlB>l@zZwq$vdFbAwwUw;3For3xqVg z@QxYG7k)O)(U=_GsursKYG59kk5o7;J6$E-UD8nfbKB5X-S=@D73+c)s#{CP5LeOy zmuZuaN!%0CV7c+kH*TNDy3WmTAm7k%W)_6-rNr+*8qXwCJP$;YKw5< zE46o__VE53Z*7aoY*53|flTbfNgo=mwd?@h@d3tlWw|zWb2McW)Egy?3s&<*FUaQj zlP66ZsZ^p)AVWhy&N*1@xs|au)`!izJMJ&y1}1%^bgr_OQ$dV3p{jsDFC6Qp999^i zv0<2c<;sTW4p?|ML0qeRhqiCa;vXxIN2%-$<*oc-CP1hvelO#>cXUCTdC%uvZi;mm z)>4`qgmSk|A>5$=HY-Ttc*O;uE0h)B{e_(v7;nuby%MATNQCxKc`cc{*NHCVvcT4|Pf+FZUW36jYLHipxiyIY{*;?8-toz^@3A*lI~BEOU$fR8HMbjfDW zNsY+&e8qa1Ut3Z@wkQL!Dc{yAm6l-|U)tdz4Rd)wXzYw0Gmq0AOj0m;BmT8=c~E6M z0wi*)8A-*}b?&?wnQ3At&qn3OctcKZv4Y8~d*8P3_JE6c2rY5Sd5PkywWoU1i~Fdg zPX1}p3-Wc?aO@w@M=WLd&(-)^V4YSXpy+O7NY5z_M4y@+=HS)c87J8MX84-qPun6t z>?csfmAtgN-j}Ce{sUOg8t)_l->X|lcTpt2eip;UP+asF|h_%H~%xj^hXyvZAnr(D4= zrZOH%^-;cXD$`j<-^sW-b_~hIH054>*Z75kc=%KmAR8a<(LJ{5Pavj!G4K3iFHPPr zb0?~Zw6W(ZCpk70M^gfYSQnxZ{kq41XFz2SlqzTr~0cpg1(LC`F1 z&Tf)@uJ~ewj}(qhcGA=@Ur<%8hsAZIKemA?n_xn?pmBl~^WGz%xN2CsTezm`4HeH^ zRcXgKY2164G!;K7*H{dX`-&I zh`RlJ219o19JOJ{llWFZhBFbZj;}Og6#K>p_IQ;r)LL>xheD?x#j6YEuFyXq;GrEC$GfRi56#1)gL%FN{u`QL!#bF(PM zf0ZTwQIJ=hn}Dd{2xRDDqqXbId2_{&hId1=5o0+zcF3; z*+E>!mQN|KaH=GLxKL+3X_#LzNmV`?;>1Bd2sIUBH${s~jgGES@#jvI5j=$rvn$8b zyy%=|kOd2&`i?l)ti%DJdJG-xYe9NtHC)WMoYz0zf-J05j>8J7Les*5=-ILZ*V_1QJl_0|H%nIIq^NAp8Rw3gg9nxYIK6A^DK6V~@4CS8 z@+k=fRlP38v!6)GujK;Ibx1ahf#IYYSEg`lNyS<#e}gbvD`m+j#lg%+Bir)U7u6!E zJxxcGdFuoisGPjOF%>9spYhWw9#oIn)bUm)f~qoOA}FmJgfNmtz@d`V2P~ca zpaOLkzrFkSj>3^@Pk6T!pX~>hSHYSMHxAtUrhAUgTepa>=Zxl5)$O)d++`6aiT4$h zQf06w9R6coAk}=Y$eqXu(Hf;XIqY!G$@^X2ef%1QsFhkd`P0MN^jD~{Kjlx(?4{Yu8S@4*f(tx(ym6;+`19WFAMGJi8oFSB#m0M8X?bH3j?nMp>HamIbB zKzW?rK~2YUT>n{DlKd)HR922>3Kn6o_%!CbN6+}R(uzbA)Ct;m$u7JY?fUiH6xq9T zv+uVwAh!?O(@rGqRwcu6Yz1vpzE+riqTDABl|~;(@77(iE-N1yLCj+Da%}Im((IuEjV!KBzC7D?Oe(xG?8j!eq!=c11GXJwns*DADJXuh~9KM8|bTxDe>D%KXoDCuHiJno=N?M%%Z z_zf&yool8{ZdkX#=wjY!C}eexTeG=A{bjhJJf<7&8b!LA?m1(Cw<*NZaNAQH*<}6@ zh2=gOy$9QekJS}y;6nbgwvqd)Ok?_r-#w@Mhia{bdal=X6f6(ywsmGbl>L@{ob3|V z^C|AA!&9YFJQNBDK=v}t^tIB8lT^7$K=?dV4&PBiCp!gIg&ZBLVJDTliGqk4Pjnb zZSSuNcJQ<=%C#E1 zf(qAByC$=xrf~s=i!UgRD`P1-((`;jaL{)T8eehDR=+_2rj!$zsnqj(gXwZgwI8ts z{oB0byVQBY(@qhGlB(7yuccn;pG_`jwga1={FsS^$69h-II4fbk9?-O{f(~jTu4!a zM1@)0>hKJ`{bubY3I_4s%J;)@o1$$6y;yeG{&ua;3T$0k#oIHj07^ZwgF14td18uI zQp|2GNB01FPGj$SX%xLf|BT9;?{qdX71fXpYcgN2(m7}`UkN~UI6z8bQPateOvmtP zSUE`%lMr*^xWd0A-gjv-ayxdhQOr1QDS$1~y5{UrN>o1n)Wu#h7S4$-;rk8~*N|TO zM)g#<)X!$TU?Ob`>nWR`q!=&$plS{YTsY*7>vX}1?wKj;8kZ3ro**`D^h*)=<(T9= z|7GN07A3VzMQZlGFm5*+=Q7GUn&Cy(b$2O$BPI{Qwr&U$CqzhFaI4&OX_re)swVFP znDJRX-vNTrN$0vtE=(t?ICg2rovW=<^=#?0d+KcbyX_g-7VFybH(+CKQ?zwY(K>j; z;h`M6O1=x-o$*H62fO=LNK~s;pR5#o)E*XkWWcy5sY=c1Q@fF~oOk#kP3e&|u}rZV z-vr<19gI0ND!;&9=^ImvVT2fhdYh4hwR%;~%gU&>x`LL?ofZ28(}~Z1%P3h`vJU4{ zrIoN1cLh)k;Au96&tHDvQ`qBLl(3Jj2EK&(LRN;*(}=oS1s@^&H|pR7i;e^1dOB+3 z#l~05UM>M1+u26cE`uzovSYk**^o@Eb`2lS{B6Pz*dt|AHUVWM>)N<7ks81v_sp@*tDK0>wWKZTFUYv0gcas+ zz@Y+BRnOpwc43zJrb~?vn?oArM81dz`M&JRhSjSe^0ahj^2*1m<}BBCaeFe1wvQ4y z_znzkt=uZ;FIFh&{1qccWKHj z-|nGy+{USQxg-w^o|pga_NH%_DkIyh)r*WLi$uHPfChTwYac0zaKPQ0hLVz35l;)lv|sDV zg8Jja_|l|hl()@*WL3hke|Z|HI}U()~W>mTuqdjOItCKx*6IA(R`4-@0HZMLVzJZXqYPSsm{F0*fVJK>02WX z5Iy#{%R5~GZi(6uRm2YJ!V{+B2D=98U!8i>{^DS@2|hAo{kpE!%3FwN_Y;%}{Y4D2 z+_$Gl)7lrEfNfT4Y5xT0z*dTjOI5TXngsq`-TWz@V{*U54=j|e&Dq7{SIU=@im>6h z)Of5b}i0O2g z8)J}W`Jb|vtops1`kSWuct5LVHsYuvB%SXrb<)O<{!!tJA&+1n`n+Y3mm@X$MqN&T)h%~!N$GK$x=!V}_F+&4!@#FvZ6Gh`qO z0~o55qdua?R*?1pjHYR0(<#CTdOr8x`yAWX)(!!oUPg7=BwJ!DjAJda;>fO z&b*}3qun&mu~KUtiJ6S5FT`ZW4N+52oWXCUvw&SoVJtd9GM?l{DZWDTq;7H_8#I~P za`Fr?FJ|$hTBd?pOwLQD*3Ydv;a5I6G>9n@$xg9jL%TO|2`&WcjS7dx z2fSMRIZ`Qtx936wxdY$1oCyTD0Qt24kL$sFV8qAnMzW$*>d!;~%Fs+fy}z}CgI8uz z=g@=G+6TqOx%;24v5uF0T<$u&l+)>$NIxE+SG^3XrHxJ4XwRKJ#kGzTjw6+~*ld|n zS^3i!TdqYM9uVIkd#GyzO95cC@<82PVRJ`Om8Oo^2Cu1M7z7N=W6TULhzp@n9nzhH z%H=+hy5?uXCgv~A(^K;8k|zN~dKdMoa`9rzAsPWhQ0DlrN85to}I@BM^saMkFKj=;KAHaO~l<@HOvP{YF(MNO)&_ml1?zQ zn+wc52gSKV&lCl-^~t^fr2U!Qb;QA)e%GKaO5t zuv(hUUtN`v&BHb%dvxf&L0m8*&Ki*sz3MB$uDjA#1dN#7hBl8)Yye$$3%oYGnde@6 zsMaly4GRf$4c4aPw$V_+f=CXeuoam4){|#q_y2gvDy6e&76IJ-ex9e(iXQ3Cb+ujA z*H$!=UBWSWYBIHkwFGo++(DySZ5(Et`(U9wr>(L|iC>QCRPW@0wS%<3%&FVuNB2g6 zYh*(@K(e!8tUI2^Y9;UE)w>fVQ+UzE;^)hN(Vtg=sn*B?jCVCo6*aunp- zxTnwjVa=91Ao(K;xyvhny=~7<{!7H>QIiXMm5E7d?Ml997!XjkxCgtTn9H?dx3G|& z6#SkX-b$m+lrFrml>_+;YXIur>GyY$R5khFRG%GGZz=V1a`R!(2{zU!Wfo)a^C3IT z1s-L2ObAX;gJNv+6}Tmx9X6b&n)?ug`dK;2sPMZ?3odhk`&N1?!cyr1~INrjC#5qvh6%;NBeBmpl_$m!kzX-q0e3 zNM}ItuB1b4F{R5LvPa#bSt%=m!4&MFaXE4y$e*qSo{(p4DI4keO4PK&Q!S12aE?=Q zZm54&oT0K~B&;ohvfl740kGXAFL+l*9PMW?9aHdGr+!^H0 z2--;Ki>&kuvJmklx^P721P!TU#G&M1u+l#h+MQa-}u%2gXBUjZ?w(;J>XQp?y zZF}s=*@!_o&(6(x*0lq){KrO0F}x-m)4~mvy2YLWAE)dZaU#f`g3g5*c<)YkKHS77 zUvpgG#TERm(G~Zt7_(h;rgZrl8V}B5sXXz&KQ`wH^&Ufn1~N)hlg{^6yz%#*!7Z%N z*IEAkTL2zZNV+~F<_H`a@d*csjsuq_)he|IpY*?E2VviGfJPXhc*y6WfNCq!JyT;&yi63r!~wtd$OW@+*VWAODd zP-ex}F_F8N?-(f3B4#%N&a_S~XhT~;9ybAqQNr-io;H+YxY9k=`|r6)hwb`}WVF7*>63l=@0mGa`&6>x~9gi}ZP#{hS-) zB|Oyq;%&kU^SK6-BJJK$lI10BgfrJ2(qBl)!=|n@XDdBI>5BI%iB>xN86lr{(>{lH z^RPW?7>c-83*v^swk{$Aw;mzXYOe3K+BAC6uaypW3pJmjn-^g_C)&1nw7?cDn>DL# zs?JBP6XUV4ms6ynbx0gPntA>@ozT8r``0!vjIGsh{1IoV@;G`gW>PVERrWx}gK5%q z4b;gVSRKE&a{;&bKcgE!do0_U{b2a zDrWtT_R}~fHywn7HoU=%s0=iD9@ow{Qw3$*vNl!uHuOtU&oq$p6Qa-;%QuzAtXVcY zQcTGl?K=%L>DOiAtRf8&?m9X|Ah!)7P7M5Dpn4jvw?HBn{leowkj^KWt%TUDGr9~6 zg4zs!_Es{AMT3(+flG;K!`VL3?hH3aDYLi|v zl?nv!fpIjK&WK%n6jm{Z&RwCDc1pW5d&n+hkvp|{in&7}@3K{m!nI`$LHw8nO0P^h zCtuG%B@1;zI*uxv|7i|fV?0Y&o|x+bC02oSkK5bJKF~EHY^ib{Cv#))+YA24!DF-b zzsh(>ir~{ETh2r}ubW~V#{$$pAKn7Lx|vnr_o4W|i-V4pWdPn3Nl+mR|E=lw8~@!d zAO{iaf5!69%aYKZo&xy&2F1}QLX`jBZUVYqMA>!>uK)4Sr4EEm{RJ1toBwD!zRk0s zFd|s|S7`oc?N8)+@Ou^NrkBS_h8a5em$msH{c%3&C&ZEb zR|%;aM=l9@l5`?>9heiCup_|WmU>VBDntK|PRcQoKlj!4Yf1i(tNh2p=^7!`5)co& zZvT7#GVg*}VRU2v->l^hK`=IzEA)B){u?BId|=@JPyO<)w92@LgkLL)$M9JKqMsKD z-}dbxsaW7MS0Syd zQvAHl2;4!4+p5F1Z&(^qQLrpH$OV|7ek10^Y@iCFjA>xk_@&rYj!lF6OU}p|5E9Ii z#-d)TnvOVufk+T(Y@r`mfoFhl5vh3l@n7w!3_<%hoP)YY>Y~I*QrjsgX?H3>XjP5i z7q)ZbD(cBKnL0pQ=7D@V(BHIzJ+S{v;nKJew{{&Xcm1V3yx2f($_=X!#|10URLJvE z*d1~UQnTpQq@wQPduH;JKNZ~nI+J3NvxM7F=mDL`Q?zu-Ja;k9ooBIN=DXZ@9xuFf_JIvfb_Udl}_Y$>z7VaU2IYU*z zkMv0$1CpMlN~wjRCe^S#vFVwiQ_aU!n-@nO+sp!!uKd~Iu7D6>J4Tfb2*5+q?G)xf znDh!9TAE_35$lo4878B=DbozSpvokb+yF%_|GyIEs9{_)g$4j+_>yGy_QPIo&@_bk ztGiMybM=q_i#2UV=yB3^7Bo%$Ix)e`$Fsja_a{BPH+JD|M(GmA{%=5rILk;QJFEM0 z9RKlTisX+&@KapVnRhG#-S3FA^p3d(9$xs|gXe4mUf6>F`O@8%^~e!PB>xeAPmw19?t1MqT+AIwLZPc#V` zcJfaHB`|C0EU?A=edUzmst347t0>mL^ApG`|6pXC{xXJ)i0C;HRwI4b;}KbPU4TTb z;%W6C=UQ>bMqP1oobTC6Z*K!Cn<}tNs)E|nZuwgopKSFIS0`{_8hHf_N4~oqK(^FE zLG{h#Eqb_m>3Ssza1Dp7Ky|)jG_CQ*lx}8%#v*BCfI8wpb)W1S;v9o)(=cWGxE3AE5JbPrD!;r zH|c8j!s8@5M|b%uHp6E}h+n%LF=~m=xEmwyMNwN2TNB|W(#`~VHkZUu%LoaCbUaW* z_OR)8+4_{FQFcs#)Fj*6W$H(&8e~`)jPR;rGOOyz(8(f0y{i=%U~0@XQft|3P`A>U z8YYwE@5$b`C@DB}#0)MSraK` zCuQ$mnC47L(q-kqdZMwM-6MJKZE~ry1rgs5jGfbq%D`ki+V3NK_uaaPT-+j}P_ zK?0>hH;PlgHrEZmW$980+{unnz}|YiO*?Y>{B8yS#VE%vSv}|st1pUxc~cWZ_Vq+& z=k8&7Ai3NMpK(Qa)e%osH48Z=<6n~lds-kRfHQWg{u7ag)>}2tG zC2QZLT!mSALH;F8M$VQy%i?pmjG^$eKh$mi3BCu*DSF$~-mf{eD~T8EZdc`VK@{bh zCpb=-6_IbfKYi?-?D;(wl4?NLRe4ipgsZ!Do)uL^TZFR=&Czy(Mf#dEi6UsfVb*JE z(>PBc>z1HMxQ8heL<=Pq2Rd~eUytsH#NA7a8N+y&T*ME};x9S**{ow^)&O&5cgIlJ z793BjyTGMx0eokFgzKJcsc3`vR1Fi7NbN~QuTnPkZj*AD@llCa9|BJJPFIbBL#WR_ zQ!x&-n@N`$;?T~7jw~(dQ2msT%WM(Hi(qFhIt~1~! zt&xIwy&TtffKX)!W!is@tdd8i_MSzUbqA?&42eK!G|-*^c)E*i6VBy=rgsh4?u{?E zi`PDMeeE0IYqpXjCTth5`O5i8nI{yrXvWIxb4PaAa*`3Yscnxq1wif`;W`#2468?V z8ZOgkuC@l29i1$DW(db`3v+X<+SGl6?Rq?9`-%8tt%=+8e1U=8iT(2RQ|sC>sl=ir z5mEH!0Zw!RLakpon@gG!KAEK9Oxxf=R=F^O9=g zS-m?lt*cI#rRlt&2tzx*yh(dWep2>wv83>WZ_lWxkXAgbBruzx0mm5*-7FZp`q}%+`b=%Cv z3g#4B20G+C6|-AHlZD-ym(1odck+^5pASD6cXu6Qyn(q~D=#-Sk{(*B;gR~%mp6dR zRts-#*XxTBu57O=ICOJq9LqZBI%hB9-;XGM2a5l*F<`cKjmhJW|?f!K$2>49$vy zNNMlO+)A89gr|ZQ49zwU(qw7vg7zvy@*eVWT=NwQ#N*vSZcSW@(F0*!Usd5MDcO4= zR>PsFaw}6K$@kl*t;IgV@nrh1!%wp`e%N}bmo%J_xZ6u#`o>M)*Ri9jbRNZuv4hMU zBk~~E2}bEdOqIg+qpbo`E%`zD|&NAH}y#h z=4g=d1wLBmoW!!d=+$U$pY|4>j7coO3OYj3!;q;eD=9(K$;+HslR+!}T5+DK zJ4MgXmkxPPMS+%35w*C9N`Z%&Qf#qFM>&th88|9zDJ(Q{XW3Cy*b;B`xJC2C%N(`l zw+ZW!iLeOtPO`CBtEA$w=FR8PO~;PKo)+?5iBT-XH?7F|8wI2*wK)e&sW9jTP#)u| z=*G#bYd+ynAcPmiJfV0E=X@Yd*avc4=8F}{6T_1hn&2-H|JY&qs|e#YS#DFkDzS8x zJ&f#?^}M&%eedcqg4Zm&Q|R)ECjW|WyKEKFvtJ|RQlh9Z1s2?$o1|ajny7!(s))6_?xfbO zCrM)D*EKKh*mtVP!o7w*uc-hX&LJTPRsUS4RqK3?Qv|LV#u%wy<7juF14Gh~Bs<|d z7VBTqsKH9`s93~FNws-EN|hs&cegfV9KVNl;juyI6WGO^U*>r0$pqP7W{BZvZ?O{c znp=TbKPWq=yE48(#_*;?u3$S%s_+_J)zK5sTZIxu4rP^SZCkEa+p@#ifU;+E$M*RT@-sj4assb@sEX>R|u zJ|L&O1Mj^0&Mi$pXIHO^tJB=FF`L2!waUE@j@KoCsNoqs2l?CEAoIol{SZf zN%8ZCu;tHr&8%TBly^j#tlSqAEUbx|tC(%lCz(iV#Z&k&Qsd97`+^Bp16F++a*zF} z%rEL~5TuQk3J@I`dwJCAt>fa8atPF6aL$AnE;m}M5#!A`2MN=7r3!=i6lHu3fA2Q> zAdlMk>oxaw2$o}=X}vCIgLEpZN(JTJ`|;UK9us5-5XKcej*qj>-koX+!It7>l{$n0 z5|p9qdQw;j^mrOIw$IGsB3wVqCogU* zSJi~%!76!q>py4i&!CrsK8)JF&oX#i!ebKw<5fD@)EdgTsfiwSk$72E;~=3jNo(Z> zJ+=yIDZ(nG3Ce&1N4aWoGRErhT zFS~GST61(r^?@^Bwg1!#gb!yq6W+K&LU^rn+gw04)UhEd4FCt7kJ@50P`1z2m|htG z;|i-i;zO@4)2lRDOv%q_qjY%RdZz56!!;kl5`9eD31OpP!`63>)>y9p3#4(k#h&i# zDRm}7+Q4)-ljEkmVwzHn0R%vafzOova~Os2U3IB!ri8Bn-*;2q+1Q-7@j`_U$fV{R zyJ)b2QFqV#C+CQp7~fRP`E*?|5XoljJV6D2mcFjV0r8ye+^m+mkA8LbjMXdQ*L&ab1>HAES^@sT3%OLJjYOTC2lE&B9Ae5 z+EZxUcr7jT%mK-BQJeg>3S1Kcc3!P?dy><|S(goT z@+{WC+9cv>bOE~rcxH_3C4@&B^ktAhzFiXQ%wIU$^Xv*9jmH-uH!OqTmhplCd^`U zlbecv5TGFz#hj?AC%$0an9Vg)F>_Ph1;xRbDXo$u?!nlX^ImVXKH;Oulk^CmvAzs^ zSIcLcfdlkaxZEcmSK{7YBW_pq_d&0+x2hz|JciR_4Yr~jeMt+olQGAP3CA^1wY}Ge z>@BnoAM?@O{RhYwodY`@EZ}!ixeMhgxj@B_yg!N{!ocx;%_Mb=o=TED#7=5@D70t8)2 zO-)z)=O+5g_q$lq0>JJ$AH=v}v;F>i|1ZCA7cNp_$lor3JGFy~-rRb}Xm#d?G2TCK zsP5qAaHSDX0%P|Xy) z4&E1Pf|6ujl%_>c`C3aS%Sf*vZED_@C$bWl{Q4n#X-*{qeWM7*LS< z2W#o?HMkHKhkCGme{<7Vgvr0|8^;M!`gB*Ozg5W_E{R1PD0PgsZ(kp={w2gN-g6SRnSU6E9D~y5FX4|gV0rz?UgzOH^|@vk6fvOBtRzwNcD}NVo!y*Imf_p z4WY@L1KN>R!*k+yE+bCtJn=j(k%+YtOm5x@7d7U10W0{iL9)%WM+- zx*1i#wy~?r;=1U{jKS<02%xEpO$k&~ZE_>-=Fu(A6jqXt2HKwfrJ2HQ&n)X z2K6CqT~8uu#0IHXlnDMUuK8E2F?bv~DJz5f1p}{Q&SN!4*}bFG2f?pmU%M5ogNK@^ z(Jy3!P+&7CSed;^&#D3f(tz+CsGaU~sNM3)CYN6(+BQjx`*W$}WMMu*kBJ^FefbAp z0d_U?6kWBZkK8Y49%}==H>!XU-t8I0a;HTenvjp|1n8WFs? z^<;h+)pMTI+)lW4bNZ${c%Ev8yFs@yK0De?L;9EVv}493sz4qy3qM%4g@ANEpfb-M zDo0fy5;X$qB77SJZrsu)Vp2@NI9=i-e^W@Rc9PC_68EAYqo{ z5z=c$NEUUDGy&TIAL0>0U6hph$+iYtOadK69kK6T;zE-6Ui9%8_Y}?bkvygO9R&Vb z04LuaoMGdw`}N4=<|3jjcQ)ze<*zCCJ#N^X}eXq-ZG z-hPH&F+Hn^@X$ECmKJXI5E6|^ey_uEc#pw*T?(&&BV32ZlxTFw97@m>U*G17V z8=hCiTXw8vbZS-bY?rw#ePk!(smfBa{=vhB$?8$#V~}HwT(_UI=xPB+{OqtfDAo<9 zh^(Y9oz=14j57A!PDp_+J^qlYR&N6jNrp_H|f2nTy<>@&n3mh)JF!=ffVO&H@h6B8b8`APqyRAMH9^1l>X@AKk4mtU9Qou3CL?0K zl`{WYQ{VH4L49OlbsQM54HQ!c-*fX9E7}b#EMIY%MiySG8Xmk=h}4`dOS&}t3583A zA5JWku%xGLsn z&R@_pl9S;XdiI3oQmMtUV{wLq6%{yR+4B~kM3MmEfci3m*=GW@Kz+{aAS zC0zw_795sk`DJGNNHaRSuqLD-7l!~^Khde<8Y2L&~g=;QA`{?%DSdhGq+BOvU z3J$ln%1rczU&oa2veum1JJB>yC8A4yq|k%|4q3ft6Os}lE6dle#v%O#u#^5 z@ij+4q}X3OoQEA!n_g$oa-cEM?kOtnzSb-#d;B-eGaTBllHZde=cIQkMfp$#HNDa^Qc*&`;o1-<(P^#U2pDyx7Oi zDXC#i$W7I9lb?-wlJk%=LMqh-q+9LSEj)<-lxn_hpR!tN)3e4{!F$&jKNwOrUBsxQz`1Ln3gFPGO_?;#!}cKlk?R4`mNMDN z;FUOsfT$hmQJ+3YJ~aojO4gKg_nep^1dN9!o`}2vU3wxuhxbLcij@X z#-~!YOPuKzxaLr|xT$G)&JNbU8~gToZIv%yuVzuxPqEaZtG4s8?}pSv>NzA>&tJ7t zxhzuYr`3ybb=20*2g5t6y7*w5$@X%9%P(>_nGCFHOx!5a zAb~3X>Ad8TSN^rOPRyYKNtKmLW}l7ndMBdB zBsxyHR&f9I>DS>M$w{7VdSF|%4AD{ASV!hf2w*O1#d(>tVlVM(R?r5XHBc(otu{`c zh4X()=_b!BiDdrzv4mM+b_W1Ls~1oq~t^o~mgq(!h&K_x{vt*sWvTW?J1PE+o5 zE_E*DqI@q~OUOSY2iN6$H+$b1cW%zU76&t>- z>=$P%Q`T|`qfz?wEmA!PkdAAlBQrTp>09|>uj|w20{M(Ay|OtKaFlUvpO0b#zRm{o zo7@gq(v4!)Y~fXfAmU(02(Xiyp(j{JjzzqX9Jt}?&rkNie}x;54+qo@!R=&Ta6@OW zj^j~D}Q9x4GEmi7B0hIN`^bC^G$ z2F>O#9ASh~0zN)RV~f0#u8UUptcD{5)!ETxr(~}AXj~e;nfH>Nvia~N`W`)(^5BE5 z^R-T^8Xo)kEH&byEehIF@80y~z#}K58F^Hxaz4ls$G}iJwZx4&CS5OQB*gj)l^rmf zI!DI|t@t8>VxNT(PpKaCe7oTJxq_xQDLohI@&Jb z#Mqw@`tUHa=1u79BE?5qlC2JEe0=^_1aqPF)RzoUqVrKb1I;0uU%$njWIZnyRdUr%)1MhXYT@Ox% zvGZ>a@z{kaI-WoE;`D|8fJ3Y?)L(0d=rL=%FsyTEZ7~bcO?FzeIK}wTQC&I?+^Lm2 zX}%}bKFwU*fC9M8Q%_RbFJlD`ZFs!zd)SdjWaQeeos>Bn)1~k0c8b1x*Zh2->7~s( zB~H0Oud7;!? z^T38rzCSZ-J&F>uXJtpd=!Pup`}y=p(V2`#OVDy1ZT836<#GwK0PKv=rL_&W_xIJc z$SLYx4Yhu!L;q)tfBtE=3S7K?V&}?+vHYHGxV(aU(}>m(|NX5=n8U>{6<(a7S(lsq z`0+Nd#y$S~;QxdfKVH%Q@*6J?9Xt@}^!HJ72gmx?Uw=gerX2Wn&SSWCg;DUl?9}G^ z*}vtN3F6WTNO{2i3Bi`%a{A$KvyxT+#TQWd+iAzjhu-PjUz%IP`&&rZ``TtojM+zz z{xiRw^5q_|ZnCG6%&Iq>mI(Otb+^lM_E*8|>&T>YQD&{nFz8S=_Eo-ZxLe}Nm5svVetWCPw{H$>E2%jD+Xuz4Lb!(6)5BG_^*6T$_gB7`oT5(uR$tg3u1*P8e{4)Y z_+68{4ora`?|_MtcE%f1so!5+Vl!O*QWo{hdg$Q$$dGSNxeSZ{rh>q+UuVwG?>XWM zS3lH=THJ^Te!tx|fQAE3Brtt>~qHs}jT=;+}&2B>IaFAap<~PefoO-9TSmrHYfB){)d^Lti$K<$aNaXjQU!pH( zaiG)NiGgE&8BW*evc}4nCyk=6z09x}X>JR@>^=$w;tU|>c3e3c>@&QZ&!GJdLMK09 z@_v^k;4e{1Yk<+T&5m^>-v01JF8tDC+(k4cAE=VT!@wA7Ga z0%n-O$|6ZFPUf$8e7xTQAmY}al{Cvv8Ub!;sxPN}J8UlrxVb5DeUfry@o~1>Drc4kj*Z0?k8X*?H;Ob^_FmO0vpgM41+y>gwC7!>x#j^F* zLjf;`rP=J&2ctzBb_!D$ScY6#AC+&9)4k$13E$4hQw}cty%%!9miU1>g3HYUgZk#{ z3vLvZWdI+7o+cGoq^%H{ZmL`f1YDyHk!S|Y4?-3{?cOy4%z>^2kPXnKEJIN{1#XN3 zFBMxL3>aw!+mU*)< zA<8~n?g_q-0bG71nCAMur5;?7foC+ItN^T%#L*-#$C20QMc{#ES8VbtAoNyiPt$4C zuL%-pE^x4G9C(@r%?n#W?mhMxi>bHXZLzXPr2%y9H8S9SvOrtdcIJ&t)K$fp z8^Oyx5e0+>oJ%A{3qorZG#^w)d)}=H8Y-#Kst!=Rdi4ncBOff2Vo54k)RnJSgv^C+ z$Y(J*nxL8}d#b(A$q8xViuKJwU%#2Ay^Het#U14v=N1$PwYjqEm9@tAO3lZex=s$+ zR}XF|w&IH0ogQM4V{TO*$FeHBRlEs13v__j8{1?4XbX_RggfTz;YCl(78Fi1?rLp!w0P!L z8s^cxh+jo<{B6hN(;TFImd3L9e$ao6?iHSTzsCg+3&&#O9SghshbRtFy7p*#$6+$` zAT1N2f|q}J=IC%kl)K#$kpJf|Cke{*>iTiY*8uy`ugEn2TxV2P|-6hRrA9G4=iVLdE8*L|veg6~fG&Ul%qCy7ew72CPHUoIg{+jvin!+`PP z<8_1NJ*XI&9Cd?BO?L zd93&c;+e%*n{H?6PeCT73|yFPYKh`0L|WR#XmuHU2<%W6#218e97-EGP+*eJ1x76q zyd}#h4GDftcO(emO&XKBBJZ2*g5?u|h7wnbB7TG3#JMc_@_IyqFEuk=0Kte50;yl( zkhC=_56#2fuuK|pJf^+f2!*CK9#Bfv!anl-%++865>M*P_Wer+EAiu3!~#mieKoCR zi>^~LCY9X%HQI3rI)XuI-^jT+L+7#&6<$qngwjRU;o)6F2ZSu&ThBOIU7I*Zz|DB! zK10*T@n_~(nHlIvoh4q#yOhI$q0=6IHvROhhl7B_qB*_9BEtkA9K)p_n)qXSs<(y# zsr2v|Yzvtv>b+TtEp$o4CX3fj<~QNJIW9HxhcW1gkP#zB>jOA2L>!9oQ^{S27F!n8 zB|C-!uXD5s(Ji=xuwnM&L>X`T{N^P<1oY9$tKhKrWf$NLWgi}F+)eiIrx$?9@FYV+ z!~vxjYnSu_s*cJ`r{?Kp*f=p`AIv~`B&V#N*FA^8;ZDo`h3#Ymf8h50XVYK@Vr%HR z;HPsA>tPW`<@O0+82KTBcn<*XhJ60sr4!qX9QTr{s-CFkS{lgX2~+_*^->;;yq#Y! zQ`2*$AsvN?5oNEW{#uGfU>Dp=0CPIgKtFw}#hsE&rTQcE9 zXm@*Pi&N<}M|xpJYZCT4KvBw-&tra-D6eKg_v){!K5t+Izf%SY=Z%16CclgD*t5y? zouX*QK#s-8A!b=Gdp*-=P)dm2$=8Riy0?^)*cz2G*cjv0A-3mKoa>pyewMKo{;>K0 zpu1)0r(rMn#aLCP)zF!;ZU`^EBPm{Ax%6E1$V)ejA-xpw_T;`-pDw1R#K*NaWWrIG zlliRVx^O{=Tv+rK$3wirAxUzDjt+AKZy9caUPC0z?QG4(i*%j`1kEX{nhWlHd|s5J zZA5EJ&?%JYRbLc;e=oUEE>X!a6vBsW#ip)@VWK!*f_UM|S1f2sLW7~;b=LH2d067A zQ`izhRyV=Wy@{58OW=^<#R~Ru3g4qS<_>sJ?&W7me_7vLQ|*0B_^6Ot^^gyh&GYNZ zAm4173j4cZ!IH9F(yqElgtRJIPSX9xu%hzfR2S4@4DlbH&>4`1iH1Ry(h*`Pqw!BmJ5SkDu;3rw z@IUi`hvAtKW2mgb>heO|;#s}s{{%8Y)?C{OK}+G8K5YfC5SsXfwUN(ttSzD zxm4PNr=d-$F`i)9v$k3{A4OPh>Rn=d*OV#YFxC|Jg4zY|D+tQLyTh6CAI1i0j(w)05OLsbNG&k)aDA z>?PXp?1*xe7In{NSwrmiGk_de3C$aOIQV(l;!3BGU>3WFgT0R05Glzy$iEti=ckid ze0zxwV>#a0hJQ{tV?N%Q9bL8reZuwl7M@c`3UegSLJZLw7Zai@DY6h5C?U}jS5~WL z(?`d5unB6Y{S;RW;;FoNxZ(&`c-y?6-iaQW(RhlOy1GnZ(BBKkn~X$NV?BLUWs4F{;~;3z0od#fER}YMs)GyJ?lsuZVj4GuPaYJ@?)-e8 zERqCTsFa}@SoGUNbT^<-mutv$1Em3l^9&FOD)d>W8bsNWi==xEIKrOp zbso0Xz4&lPI#l0k^IH`B(EI5uxA2j!U^{frVOL_=6UJKKMqpo^Di&56-y1#kkeSm7 z0;?|maDpz;E1)J`9hVx&X^e}FU0u?JCbW7v;?2p~{fvz}$q8R^vQn{=rU1{n)JZus z=zl|ibMB&%U6w1cI%0E3EQT~%5Q&+4*a_0d;Zfqz&uaJ&!}|ydC*+fqZ68u8Cb#v_ znO4ZWIKwVMB&mRyqdDptz14(6lzzFV{rVh=m7enJ!o;?Ut)|5mrjIGVUL_Y+O%hME zBMtYl(Kcv|qRVg}tRWt8;idf^CB80C52+&BZPa?y?EK3t>zWIvp1$ zBb|vga;pJd*=MD_H51(>EtV6d&SkA!`E)eGz#QIX$g}7t zvek=8p$R;}vcBGnAN3o*USqIeS4z|Fo?5C3Icjeg%olM35}I1-y~m9&qO`MIAMZK3 z_`#*+Ij6Bk)s5X5%Azm9iv3J0VCTN`OkETDKw zW0-AX*2k01m{>BeqKCGVR6jtMbr1Ml0#K62hHSr)C45h>U&DF&n%RE+GyT9&j_d|- zD?IRH)bBEJpnb-|;KgnYUH6?oeq?=&B>sb1rW*?Ve_w4U2ZoGsxcKP$L*?(kE^!F* z{3AL3%0GIgtOo<`148)VzmNUv=JLP!ZDUsJynaj-)&X>6WaQV*nntr<-yh&^fD8Y> zi~4=7^^5okci8ch*+Jl15->e+Q2t+-=s({K|4$m$_J1Gz=d1c>75?{)pLeAUvK@|V zj+H*V1bVDJk>Xnm_vbjSjJARyUg)_JhEUsK_LfkH@GmP=9@;ST%ePZ3n7zAf>Osl0 z%?0V9gYY3cAUG`MSGf?<3lXB#N_(!A(S;c!h<~C*c#S@tJGgl9=!PSxyBp>|v%Oi( zt4IoAyV*4ON1;Ca@{1XC_VEqhieVj~g4L2|C+4*W*9}$hYjq*@Cw}v5b4XnZ@!Kg= z>;@J``pVMWO-OH#JFV8Koxnc;u4PMx{eo#`(v4ujU74~k{Z8EMx0M6bp)!!q{M9F* z&UF9>zyOl{G@z@A7^7CRi1G6OV7QDgX0m!c%{pR@1pO8*yNk$gW}8MiK-V_89CIDL z);F*5u~G+(6DIit2Y{?PFx!@45D38`@dkg-W=^#N`}t^T(UBm*P|patc)1geB+Y0g zIgR*LfN#h1hUbvr2!r&^#mZ{9! z@)&cL@|Z-^zA!Y=^<6RKlpT;`?W9~=j-xwtBY@{)0FTZW`fO-rq6NyeXC@1<{J37Fr+Bo8vX@PR+)eJ*EPS^pV+Y?KF`|3Zl+#*3`tlO znaAF}f4s*4?haL(&?rA~m9C+Vtrf0aMiE8XS<|ES1F#K_sVufX7QLDzR=b_$yJ z3G*#T0?#pbO}Oa#2_5Mqs9?+Zk}14@$}JYJ)Yz z_pA=+5~BbzrqPHl*CA&ALV(e$9Aju@AN5#l0x+5$J+cpmI%5SE-r2h~Om;wyOa!f{ z90A8Z(iA7#8d5Jx0QKo&{B{tq3R;bi5)Mpc4=~#SvuYHmhpEu$UU0EyO(kLk$k)?d z>71;ip9>4)pW?F;$P{0X9}Ttt(#**u=RRQZelb{LWRUUXGD+favL8i486>A)8W~n%bj1K^_@bY zyZ~Q`op5wl3dXy1?lBh8X zBl$)cgrWXu44orKt1Q`YAO{mED>Lc*K+b4Nx5zix|TQ zLF-uT!6=R!7HdskEDk6x+_;omNEjV$Pmdq_l;7djhPHBm#u{{`2*I9ki(&cfDxNM9 znm4{!EC23a{O`m0%Hf@YMd}U8d+A+^Ueily#+3FpMT{5U3Z7^KiyLKPAK>Vt;LtPa zo;m{^i!uXBB-6Vm8(C(Mj=%Rq9sONJ(|Prp=Px5wD*8G?yNp-U!%T#id>QE$Jx}ni zMd0XA{N>ow=KxDq^S}xkw5N4{7%GrA{*Gvu4UzU0wnJfsIgf*A$MT*~LVOtN81WsB zYgkOEYtOV+5tl36^K5(qxZYn0>iDkxOpb&JaVC@dxn8S+*6XY7zzC2c|IR0{m)cA_ z9yc^KJNcG3JrCnT(M-T|(w|#2NI%Dky``sgqG9o>FGsct?)+e&YifbR(xTTmp6*e= zdkG@JcAIMT)_da@?~9r{pzn~Zv)K$}qM}P#i4l_l`p0CP4l%Lad3NsIQU8W5)q#9g z9dRYRO0rIL{PA%#&jQqv#%3h4$5rx@-hCcWfP2qFKx8Wh+fiW|q28z5hfdr`zy3l- z1)z;MKd_1#h$~ITrthL&e>6#`L*%u&K*0ROUF!Ka*Sw;{^%$*Ws~?)yXH*WFijLT& zjomwX_gjaym<_Kmfu)mnRY&Hauw0UV1Mj9>qh}Nngvww>hn>0d8 z?d)9x;<(8q*HA%AR>ZS*Aldis9XV&)srEv|jStHd)z*@J4R1BlVk_n@EOLPor&nKSfSXZMBd@cbz1fMaV1QvrQDbT@9 zv{{$+0(e!cjrJP|6)Nwcj3SoY<)Zm4SF9lxP;$nDCGPQ)CJwoTL1wpP;B@ioHkH#- z>Qcl!<*C+9CNluk$}s#8);Z0z@9NDgy-`leA~F)u!=?A?f!T?N0?QQX2QsYR7$eE& zagZSXp3kszFy}2$4!2o|w=_j#_apd1qQct}Y()gst0tb04RBO)n==`}{v~?3v-xB) z?9cBHZcTeZ5U0DK`}`<2nl^5Tzd$MFy8oGjfp>K`_!eMbL&ZqvanPqwiCoIammiF4 z2H=2tJW%wt(`dW=)y2M^W^g9Ej;#Qb# zhd;IenC1QBl}R+V?^V77z9prKsakCiPEIt(KR=U*L_>V!4V!4rbtmy!cL1{a9`Cr9 zUFQ7_XsKJofje+<)n}@_3oi(IB$b9YsN#dMOi*gwufylJ z9)|JO+q`cRPfMpR*Ni%~b{2+1XUevA#?Z{knkdfmk0b8rd^ z-~fOeah;^&)+yi zX#Db27&!#zC9p0Xo>U{pR`iy=dpgUX#eA?OqSs#seSk)@G4ectt4UJsCL|e~yj<^+ z6x!7s8u!I38lWw>_l%ZK3*KJ1abGR@0YzPFXh1@ReCie>ZYbE#NfQ${mX;zgpE|AU zmANUV_F5yJiwE(Bf?00YUQgZ zs7=9GE5m(1)9CZ3;8dW3Y#r+iq9ms}X6^)OzyUD`{5pYF5nJ#wAn(ealL!w%DP0$} zZ~X=<4 z%#a48P{za%0OC_2#>k!MMH(41?n#A$HtWW11&M0M5(i3p4~8+kBVDX?blGu0@Rg(X zv;X43Ki})$ll1>)JowwulJu%zp_Uy?{OV-~tb&%V+!v|eK$iJCP6X7CN}9YqNkvGn zD<@qTk|qH)AJC<*i)6n4=yHFT#3M4ETRejsO;5k0en))C$hBqu>^1HR)9W7ZZ?qHN z$MniyuwcMu=}&gy>Mr+Rp+vGS=KWp3V3l+6@$pfx(p*P0cR4}_i0~Do;~Vt4KXMkW z&0+Q%qU0YarViZUi`iz=Tfb~Y|0FvYvI?u;4h{L{=W?w5SG<|+C(k1$k6$QK!5%4# z>EXTK!=Ypp#T2KvhCvpc0!=0l&nx_RsErrjeU-JJ4C%b{W|$aXM!Ic&eM4~k<6d{3 zba}O@4)}5Yj@p0!uOm+oKzUCT=feaRc6RoMqn$y&LdO!9$l1bPc;=T3aUNM zj^H1KaPrFf!ukL3=2=-?vbKaR&5m(nJ$;}RiJDUzn8E6T;v)m7kXl;u8S68wpHJFA zTW(60V>O|=U(_)VAcNW+LZhdEWcLao7aH2v0qPQE^9`xP4mZVV04t(!h=0TG{UhgL z4WUp(W2{D7Z-LS$6LPV3KzWoO*&xVPs+Nbx0ikAqHFS_Z-h@@qClhUFM|F@+P34Pc zG%F(8{r&)bJ7W@%3j?Xk(hklBiUB$2xM9i9kfCcME~R6i3qPMs0nw2Hh$cqCqLu1+ zywqz~MAc&1WzmB2oBD%W#m;g9riwhabdibAFi2<(X%&7lf95&3C>dqI84b1Si3A9w z47)%VGluX-CZH^kpwk$gp-beL6Oar!he&>I7T9N73^jZ>(Mz)tLi|3=tf~|X8p3rz z*8(2os7Wr(0l}sm%P~g&rl~R(BM8A#5q>HdSSb4rN{b)R1hU5|tWTsIglK_4mqb9% zH!Mc$6U!f)go`!$y)yYC@Y*&nnt)t#^QR>~xaoAnCCI@ZD!z%(*qLh?M;s_}+0^yw z_5Dy)clqDnX!#D8SDcuYZ4-=hvfPE@y1<~daOY)zt^^>7K9EEWzZ}VQ7X8zG=+izD zAR}&@)CHu)y*(dZ{g!5+bhbhdtHh$#Fc-SKe^rrxPQULLOS!_@FWybV#NVA0Dc&BD z4oWGM+|Vv-(bF>O2mkoo-@mU~KUC0i^i`Wm>-yyH=MGx_yy!eN=9({uZW_xeNq z$J+H)bh)?JxgV&*sSX<7TWI|J>;Kw{S+7xSJwaA2bF%FZy&iTxI?vj#*u9cHJKm)S zysvL87gaO$+jh?<%++U1@25MV)bs@SRifYiKvJi?bA`2%d@%E~qaM6LZ04R5N@)^S zfw$g0XoI?NW0&XlKaKrUN>D2OsB8c0j(?7_X(XnKE)0T_H=YNCN=e}s|C3D&QE&f7 z5cOkBcHyx#7+3cmlh?Ai$cs*IsgYWWNBZ=~H&vv9{D04<>;IPyR2DUU_}+ z1Z~JP3W?L<_2de#&i7^jBp&2+{x{XWBlqEg+QqJ@M2TmI7z!Ri*`Nb9y#p!ve!^hS zJPXFH?aK?(DsI~4TYxX(qI~#`#fThoZe4fEtlRjGU973zpW8ABF6IWnKxSB70HjSH zQq$MOMh7tV$V!UpGpBErB-ewbBxh--@%0qs{1jWYf zq@8)iz^>5;U`a0J&J|f=L}{t8Pgxy*o(|p&v80#n+-0d(oJ@TH2u zf)<^UO87uiV57J>fL(%NEVajk4RGe~<7^E(v+7rbS!3Y2T2nMDFD#dcZnYz%*aKN? z+`3rfA=eLP{LfMf-XDrgap0p|hMF)WTv~%|TOSmL(RK({-co44@XbyCWj&2x$g1oB z0Na`0`YLY%NjnkpPid={wQyLDog>XfTnC$ga$LvKk};$Oxf3-&R4UlB~|n&-R3QP+Xup^3Yusyuz#Jyex3#zz5j*xe4p(b0q?OZ z_j)~L--yPL>;!lD97*#V}9@blG{J2+plea+3+&{8{XS`cPq_K1+9h5uqFk{j2&iXZ5rh z%3Kvl{Uy`il?Xh}_imw%qWQ!2h!r$J5B-U)!S28ulw~Z6Gt`_wagaUT1-=a+ZD1~J zH9xVqbR%g|bw0YAw6;32rvLuYE;*=V6}GOd9JAZL{~HWs2axFZq<{tG3ZgKHohbmeVw83(S}3H)T8L&c1%@@C*Jr}|>?lN-V<(T0sQ|LL0*5RYs{yEPFEB-z4>h=~Mw7%|>>09}0kaNcx`!Z1 z%>*&RCw%U(=xN-?v3NFo8{w+h3bJ)K0RK}1EsR7g^zYeY5qzH73#hH56uD36INJ>} zyZSv}d&`{QC%YbRRNu^w$zL3f#~zI25W@SmK~SHWUCJy+7LS%8^?@~n8U8tXCkTk| zptmEk+!CU88I5XEfhZK=lG>+XxmaPUuh)?ix1TWxXSWY;OeGsDVBG0C-Pg6;vAlZKxoWF_!8J66q;#xijT@pG?S)L+vik6*I#8L+%ibBnlj}nS z(RKJ6aCMF6F3pLNM_v%`is*UwFp!4LA_X~{nvC!_b@#i44W%=1Yh`)M(#3$#C@TIO zQA8!j+~i;s;X0izAw~A0%dvzetBbEEK?X$Om0St#B1y)t7og!mH$g;`sgozK1RQ|| z7i0Qh56F*C^IZTl7@f>cQ}_Kh-cK|Fjf?&i2=+TpKAB&H;IJJ+YDSX-)aw}-FmN_| zUQZL2Wn?v(wz~u!s*967+CuCW&!Zc5fC^etg_N%Yx|WAI!bpUSw6xfA(P7)?!ZcM9 z3mvS?ZEcq-aYJ#@Z?O(gRbsAh?rj%Yo*Cg`j($KRCA6<_8cm{gB(N{zWV2#>sCYu6 zFSJZrLY$XnKzBnocP4;_9>%>NGe0z!4c!J3z+)#`ya~?`A6@o|IP)r(q0Q)!@9803%- zmOp+&Q)4hKvb|-!^lBl?#nXeqkiQ`XGkyyPrtt`Gz$0-l@AyN>pgbA>vZrq!L-roq zOG3*g`eQMA(sj8|Nh-Q!zOp!l)llYO#goF%Eh_|XJ?u@LR6|;+kLcGW>>$2Mdv@jdpIU z5{zPIi8|;lyP3zto1zNLUf=CKuFy>(D!Lj|A}Y+5OosCkRY*OFw>tH?nsH_5={Ek@nrI_K501igJNlvywwS;XEs9o}lyP&wJy z!LpOH#gELF^T9UR-st`m6BYzB#8`H9CHD&_L#hie^{U^+4HQ_ z-yRBqoxG^6VM^Y|$|Pujr+v-nrpHjnx55`JI&7w>$bhJPU~P<>*Z|l11P~q6BqvTW zD6yP-kBK~R2pjqJof7Ht9{wmIPoTYRb?uiVb?*FVby=)$*syq{l+1{|MZ)J#EG?p? z6QUzTHOa{oi3#o;l}HE0-`#X1`5;K5I=5Aq$YzDV{iaR%^$0okb|l#~4QpM~FevM{ zaTP9`T2a{^SEO?ZP+5ZIYQe1^|6Fp<=w^5UV#cBWgS|Hmr*eJ&#`na5;a7SDOrZvUUi@qh6g&#UM6 z=KDSN-YoaJ@9Vy<^ZZO_+JX+_EcfDT$b1@w^2$z%dILwD9}BTGjjxu8>(KQFOvj97 z=09ga6Q8d=l`{vu5MRD?*$kE&>YB^S68x1hC2m{HgRaPs5KEobs!BG%aJe4cM<_H_ z;^9y|!7r1;6~5}t4|!8mb?&B_L~Ew;GcrxVl4AIya0vLRc(^X-`p0cQGz1_BJu)#x z(!|Q{qoxTQ*&fVkp+L=F_);VZSC z;k8I;-t*qYPZD~fHfFUuM{WL8D_Sp40D zx4}zpb*^GS4r*EKE)-w1276E2KHc73g*uGKL!k(ZDOzUggDSbs^aNN7C*-7_3V~bh zn5FXjE$XXhRt;j`vw4UEL18v?t>Q|^BM$FVM7O$;YAgoqRUh%*0qlNAuu?aAc-J2P zI~efD*mT~I(6e`-B8p!EeYUNb5*3m8uEl1#+9(FKC(Y`Htc~@4-{#@4^I^L{@XJ$O z=HOTu37%0_<_6i2Q&Cfa5r#{EnpiBys2~OhWAXhHQ#yKSLw~teeChxWfef{;gb{uqbc5CvIiaTL<(s2pMT;Xc{#>nZdd+{Y3 z=WE?pZtMWE1TPwZUVG*(-O(Hlg7+tVSchgKr1Ri@xUJ%ns;ds~?KU4vcbFogJ#W^Vr5Bf!xV1P?MSK1`=>lU?jBgmTx zrEYoIi#9<>Y5to|f*>|@$SqTH*6#E3<9!Jdly!ui#4DHIamqqT&fD;}B36OH&0a+oZs+@rIAEsGOfH2;8To*-@+=Adr5 z)8C;()J|pNRoL2ju%OCm#0~24WUq8+M*ljB(!T1*HQj}ry~ z3er$(AM(M_>bP@v4j*?RyeAr_r9d;r_Gv82c?=qnn0&c3bAO;|MxK>T|4thOZo89< z;aAqbss{l8PcT8R%Ou9ac6!M0MUp85(_P~+Ln;!-6;JslNzYSy7IzAV5w)iOn03Nd zdmP{6F3h$@wg3jee#99bQ){^M$vATyZK=w<)wVt@VK zPjJ}(I)+Aosy){_7F;EqA8B*h{)}tLsCb%e!6O4X#I>b?QVDgoiI-np69kQw{;Qi6 ztfHeCbtCYyr$NVmkVsEiLub!+*k3|)!3|(hBq!LyA>Ni{*3SBk2@r}%-pi?PC|WQD zP0;eonL`Q@`1huN*p`2Ok@x%jd6^?3rTwx%p_Dhl=f1RvS~WlH;9B|o_&Xed$dq}jl+F4_}5zuS1R!F$#c}Gs&yB78rhSyqO4Jd&+IAhv`vrSu{cI2)fhUfgXLk-&2)Ca4k zg8oY?07Z)aBp<>_U4umJ&2E!pEb$}|PKI{7HmwGle!dwpm-dXU8vxJfNTu+#_q1d< z3hP9RkcdpsdB!AL`zCwvrP((ozaGzuubZobej8>-T?=Xl0BRH|ZxM7)fds(#2moS? zVdha9c+vB0fp5%)Zt^I}4kpyDLcM-m%r*4vH2}H^<~RJOw<5Taf2#ouP9BYm^tC!2 zCn5|9U5Auo9uShXnz>}3U!mE`mb&lky_^dQqpP=&fB(Xl1OB{s^zY)=u-=aWr2v)mxuvx!Z~b|1@gf*t zWd==(R|K?swsA4cN_Q=P4_|Hq3F{R=g{x9~!R>#eB1juo(cTIV5n&76117AP?YH7__vIF-u3701;6JWK1&?K(Hr9V0UoS%kJl0P zwD-JqCKGG&Ejox6L2A`tSbQ?N5FODYZVyz%WS?CA8kZIgliC+H8?1OTi80tiWnwLLBslbgx@))l6=Bg&_*9yJ1tqe*= zKKL$ml)3cbR}Rz>joS91gJN6$yo4D}s$kT&;@^q7!H{gw4OJuph}NAj_w%apS=bEI zRzXd_aK^1+aDFo8o#*(iiub$)51VQVDw0zMq5Wr8ylub!5wC$Uyi^y~5Vkrg@ZYQ2 zrnRRJTa9?K4%b<2dq*Ur%`~WaTM!O!7C?$R39_3rRICAPqH7$#`%x-b)Y}t(URyF)#Oy%qfC+T7kx~l1G3JQr z8U-}h{d2wXgyo4$&Ru^DUxKIo*M@6b@nF<5SlDFlO~xf|2+x6>?`ngAM|H(_!H5@B zSU05TN@VL4$BD19!2Y}GBJ|#Mb2S`#ImAlHmTd)0+yt;|dsi^&C!y|Xi~@#e7TWW> z_zkW=_n1@xunHg!SKttP(3oktMmbW}i?K|h(gyaCvjC7SOn2<|&p`r*@a^#Ky>TuW zgi4>h2qE2n|NNS>?CbM>WdZzmM?7Cw}TDU)7I%b z=(=;Opn2W=|Mx+Jc1Hk*^Ooi=D7aR?ml3rau_%9cNGemI$DK$Zs(dV%q*>!gXP`&l zWk>~|h1V9{lFB>sAcAFf{<)s-D>$n76B^$w{n|fP ztb06u&lqzAGFO1@RRi`%6Mz{#C%(UDyp(}7nDVcoaKX>10}h^@e5KgSb9!y=6vr@& zRj?fZXfqYQX-lGdIy!Y4kS%>$ALQ;BidgsGjEO*YG(dhyK4ciL*YnvZ*tN=D`|q_v zc!bF&JSi4dYJRu@1to+eP{Fx9b~dg?{-f2O_m{F8nC9&sG5ybh0H~v1Yo{(d;(1HM zE%!$GcBn{o?X>Ai*HR@&Zb%cLLcskfausmN1zkq;9)S0%ITlw@kP#qCO@JhAYLhSz0<_5=hXJnk>Y_0sOYJCwv zS;<8(fsvNYZu09#vu2n9y8Cj;>f)g+7h@T|VGx3@UqOVE$Y0b)P?(Yc*cYDomtY9h z#~|lLXxAb#z#xurH%zyR&$@BC@~=7gqoV*qogl0`c(E1QAGDpJTqds12R?jBbhX*i z>}dWq>Z$VWtU18{+6&Ou+|{vg1MJfDfADA1e$_&|Cj5{sD{NgEa2V$vm*D*NwftFC zGMFBe%c_B#)dc0J93(s>gN;NcIDIn&$8lF9UqC+1=)@ekX5C=@-M$zL&<6nlcpD5#on^ zR)UUHn2(1T8Ue@6G;c~RHUvaP=$%o}0i97GVaq4PO`Z#Tq6neMz6xV_dKP~8VZ~m+ z;xtghM@Udr%`m7@q0s`bz9w>eWt&fIB<|OOtRUvYm#Y!c+(q!5ZRvx_0DKQ$s6#f2 z&~_6Ps5MO4H7&y+(g4q_$s&6UVwck2vEi+_$3$NBWVi zWp4yz=GY^Xhi9D;KgxELB)_a3G2HN8dtob$1nX|YR+)1CrTCKO$ENU-wCVL@XG!+E zFG*P4Z>TrlLi55|rO?Gu=wKr$Xe`BW zUln% zYA5I=k|46f?U6G?msw#%+U;cEADyPgDIQk676C%CgsJNBuuQrJWnFJC400b~`A-91%joOcvXVC$l)g-RC~zwN1A?}wm1 zE_&?Nxb?d>6nyk0@3NVD(|Wlr9LDzsm_k1G56u(XMRTSF@u_O5F_BxP{3LswBI%tJ zvRrAc<5ZmM#K|{)esF)jI#6UNOky;s>r(*kDReAa!E_o#cgw(b? zwpC}UzAo<6225(&3`!Yd7(p}2_f`Q$GDIY+jPCS{Ifm35DE+wwxOGzzKTM3>XiGC7 zr8iOLjqpRS7hti-e9^QKo8lW%@4xM|(^;5&9bv)w11?oP-h*9s@9#9xC`3KBH&^NN zxj(T&xU?sB6J(P}q|(1nuM1kI)%}RQlO&NvI310BCnHC)1eHb_nvw$G&=<)kQ^b$^ zcKh5Iq%-)k%UhkOqwJl`K0ht@LK*;r_Q)FI$kgl`wO!|kR1~1E_o;f|7;5b!pgKCD zK%kB_XT3G~RMX7TZ<%OSAm6kayzE-_o#lsdh31hz5_Hk%H^TjI~#!{4rnLKb^wa2J~UTCGf zI+^fEkdHZHsc_(t<22975oln-kzNt%L!CEBuSrg#7H}%n`O#= z8s;A|xe!&x`#%Q;5WPf6=X@MaJI#J&upf^I(OIn;T4I*TKlQzHRH>lulG2dYNcK|O{|NXtn&%ihzEJYMY+A#EV$!fUPoMz z*S<~_;n)dfLM$_@z8-c%_oBnKw#K3KUkLGF7m3c$h$0hvSx@YL zJ!mf_=a)@38tF3S_k6;2q;A~1Q+1d?oz$sI9fo+QkuU2NbPw#l{MXF6WkqJg92)O8 z3sr|#$)SY_pqS>5)v+)e%f1;h^WtjGt#CQ*s}UvZD=w6mIqoBnH~RGqR*kPeBUZS( zW07;pZC8>SAtVTM&ijm^Kqn1{2k{HP(*3McwOPgG{I{H=`VuA<2N<2E=9gdDAM8?< zTjnS&I&k9e3xPiVO4}ZBOWip9SUpB&?tI+mI=`~1`~KVJIiqto?<_yXPy1x=*_YS3 z&)<=Ku_Qh`pY**|zteS0Y&OigDtC5d)+uZ_B)uxE!Fas&`&`?&&cy)1`1vcxjq)eb z(nNe_m23Os-2Nsj)QV5J3MQM2l-?E5HC1b|mbc|yr1YieTJ}fbl`59qycjw%+DI`VZ_d{B!xaZrN7oem z(KfGQg*nk>;T&K0lnG_VEzFHmWvM|$b()E68(ee?^{#^vuLBB_13G~{8O&p{t=O|-#w)DDA^AGKGtomvd zDG9R+?WE_QSdCQ(4M_JBU^bW!7|Ve7s;b~H`W`s`$zsLBy|}Bf%vlCGo^d#ZiVI0u zKAT0-ju=JfA<4)$rmpAvS&JjPRPtjVQ_v_i7J^rPz zZZ6CSyIDZbJ}17Gu=g5tb&Rev0X)D*TAOVoPY5cyZb}Il?1!E;U;7kb{g3kVK%d^e zUu4PBwMeNxxA$!`M|k5GYJT6?ATIa&tb9|&G#rQ1*1OY7fMoR1Y-G5n&aT^~+eyz; zgI*89#o7@f7TU#uArIhUIb?<3{`=RW-J{Tj>1FjeqM7yi;rT`|DXEcSUVUBMFCFwo zDxF6HsymRl4`K9^Pqq(3vf;eZrBD)>?QVdd_!XVL{Hbs6qaw}(e2nwfC#v3Y1OzsB zT!|u`9!QhWs*=^4BLOobQ=QWjO_ zn!vBEnRflIHgK%xA?oX86j&tAhWRcCIZYWTKhchW`bLvH{d7M?-=NDE0}OcXoC2^pKvE%)o|QkYjA!7u-Il5d zvZ9{TMjw&taYY!v(YC~|u0H3cK+5usG&0v+r(OG1`mDUiDuV&jb9^9&=h4d3J;wmI zZ9j6744?z28sW}ypgv|J@g@V+FV6QgpEY~`_5rmDb9~qM*MLiQdK-!RP)q|dbJ}n5 zq8Wgy0w#J?c-O=K3V7e=aGCI=>ro-Zyg5iTY?Gos9(0ug6|S9MTSAZ=Uuc5JC^#1% zwj4Gthbh(U_Q^0)E@u?n_zkc0r0vZIT_BsUd>I5i!b`Y*z)M4FK(D=D$~4E{FSV^jXd^Q zC1h0FkBPWbE1E9FbCHC}>e&H;pC)OjZ(v^%qKSG7F$zk>COIufJ1dtK9e8!Fz;m$J z8$;~0)#Z6(QXltdkbd*R?waS};tyt>m5vcRg(=BA10e#&Psta0ij1rx!3}fHw>RNQ zh6EvOh+bAh=w$Ifof50!RNkMD_#{CJGEQs0O1VTvgSOd=RY(E2=UMG`nzKzYl5ApT zqwC{Aa!|{ZCKq<9nXnm`flHB&Om8mzlyj8&835ik0V8o(<(@M{Nm-HscHx3ixa&+H z-7Dsshd#?@8}8V!#XiDv%lG4kPrYWK(#V(o!hDUmFF7h^)6MIVT{V8UG-?H#mvl(6 zR)Cs@B?R#rF3;N?8C;wb*T5IY;L-#f8v!rfr&ilDf*j9=w2vl(P92_nv#cHW;?N?8 zEE<@o7O2s-Fu&w`Pc1#}mFIU??UTRfxBFl6OjPqQGLfOs=i^38{5ZnXE+~XHa276b z7!d>p|I#BAz>GB0`Kdb!CvU4`shfZ%gHv0|g3&GfFlv9NLw4Bnfu%!rEEd~bS3eo**T(NK1>^!8in0kP@3htYn` ztR4aQ4{BWP?;$66u!HOi19-8ZdzQC;cL`0j0v)*Kqx|CBRrNwVb=m^$>yq2`CvBZV z5NL1s&R|h8v-Z?v@Jyw8%_cU8rk?>!Etc?v4$QIFFGYa$H46qK<``X~cn$#2l`gea z_`OD!$>2?c#^)bb^HSUro{1YHMC9a%-(mPLGAZd z8n5Rv^vHfy8A$t8XHSCPo8c({Ys?$(L&QoGq{C=j^FtV2FeJ}wrtte!Jj>Bj{WCf3 z*+h3;j0!OuFoh`SYb0n+1sx`?XhImkUjv8^1_s#_=~2mMkmt`Q79+P(*7=K3OgrE| zO_c$?g;_}t6#RLX_$txyQ>}omXfqH4K&zaA6jh)M)TbAl@=sDvFKN(qcU3+Rm$j-& z`_&FKZ{vRUUXhO##C`3E%6{*-1n0&W1x!zE`}Zu}zqM7Q48mNm0#Z7Ae^t84e;2mT zfBL-tqPpSD9x#r$R4)I72b>q>kOfv@}_ zYL(E4g%NnLFJ?Ex#MlVG)vxT&S80!)=Lx@c8bO@q+3j`>xz_s5fEbNJ0vUj#Pn(r5 ziS?FXleF`*T1f!*n_2gL=BY4KXZiK;SGf`E+F5x!xG|SxAJivn=kM!;MCm^>O56!})%6Ml zYa^~X;K+b>(R01sDl(j?2ad+@;6)k6Jp!gJ_56>vt*kSCeO_4>zGPk8O_y2Eegr1M z9-;Zj8Z0kY_f43z=Vh9v7H>S;aCMES#y$R~o+oG`KpXsA8-@d90SC9QUj?9k(Se9t zZIPqI$@={=Yu^4wv_b$ee0OFpw?V_W8IJKMw5QNMSa;&zeKMD+I;U>c2Y8`hyd|nQ z=LnNY)WJKP1iRkf;iuU;{>;teJ2pVG1=vC(b*TF?C0hf()CSij!9 zA1-7bhWtxE26EUN0R*15OfFhZ@9`C_{9${BM|VEIcTLp+ES5`Nk7xc`%D)EtwyXq^ z3)EOeCZKK=gkU;Uj*h}fY+nwOfLm+Fo=*Q%pvcf>7&jjICZ250zj@1wW!&YC5vIcn zun&MD0gX(}*qD;49IzMVSWt&4roS171V2020P>IH z>4m@gAGY^vUs+82Jl60b)M?v2h(UEeq1aPkG&ELZ{A`?91-U!b-eFjAI5Ws6$#wRB zUP|23=!FR)QGm3wA%$Yai(sE9tJ5+sm^J~l{L+Rns5tToFgM3adsWW=f5$2lw>8xQ ziZBPhQTMABygaqP|sK|E~j!1zj|_Y*UfUgE|}rVA$%&hpjQaiwg5$6MR0ns$4C}y`q1<5BNRf z7{YhAjUm6z+<&j_zkgJahiIJM4drIP$&h~STKGN7@So?4HioRRGd&J~g)Lm1rupYT zUsiDtJ#2{Xp`}iuD7y(s7Vt9|BuoA_IQUeGF6& zuk1SJ5YDE{&qre>f4&t{ZAxz|z$*c2bpEY$|b0ma3xoEYr&aG0+u z`sEJi2t-2gdnd1|1HN!UR(kd!dH28W+>1FW!IqtLmt#Bnh`KZh`}9W7Vm&3G6URH{&<2){I*=bf3_FSv=|@puYVrH?r_DvXQgEO)H{Y3!(?T2Ln-*Sz`T?+k< z=F#KSY%3w!UVcN&dC|?T)$;?V-tro$JM0!;S*R#HLd#{6)ZGTlR~Cb%^AjCAshMf? z1Z9q)RND7$U~hbB1*+}4HecXoU01W>HrKzRtR)Fe9Q3X-5<*qY5dZIO`)CR~@sA}(zjK1(;*SJ29CNz0TyIO)9n|WS5M{8X)yU=K|5 z_Y=!8tM&+V{M^XX2!RyRr~_T=tAWoKv7*HFvT~>dY#>3dpNjBKm|X+|Z2TH%4yxYM z5Hbp+7ntUDCdObD1iTZww}(w@cNW2GZI)@8)y(xekNo<>cFi1X-^CNDsUWJFf!A^S zyfA>?>y5vyJf=K99fb31K6$4;$a@daCW3~@?4e3}*rE5Eg^FaKM6gEk5eG#nar4uW z4Hq*%n+FWN&S(cEPoLoI@Wxr@5Z8{Qx_}w9wRVk+FNqeQrv390`-bin1pMWZ0i-F#O1Ts0o$5k?U@Ts zhYQh`2#sO>-8(L+flVhr?2?;`Iv<+R4yRQZlh@E3l*bod9at4&f5!)(>0lF}18E&0 z8&oQUp=wr+?t`Ah6nj)4oeb0dOuv>rin;5_wBvRwq@3y<46*P+Q{4c3;ece~00D#Q zH~fw@!1J_!l}0Cd7y|*Dvl;uu>7vK)-Iu?<9L; zpw2!9(RB}N;uXFjMIb0S^EjyeQ5ovP?o_sDGJJK1*adL_v0&EEFk%+QjOF;Fj!gsG zlmXrFZ6O|#KJ`C9hi3sC0WBSf*{xcQZ!Q3Op$SE&X?lg=A(FU&=xfPJkg(>v;bcfX zi|zULLf(0-2W@~Vz>&n&S4cdlJSG2%o2)V^t*P71a)EvjB(v{z@Qifv`;?wMhtyx$ zRw=(~V>C!RC|q59^kLm)MZS!LybO?FfR~8EpT$kVVJ{2tJjSU*)`;5B?g7hX=Gb_D|i_4Gi4-J>d;# zhH3Cx&yM7DVG;ll2|lZn0;pS1u!AAk1wmuhDmf(Ry3&)j#}vhO1>a+a65jJ3Pc^6q zTS2C#mDvw6(vjbg)xb^wA8>tltyNd<=3nvfRcOlCFi?qeo3DHLEnd1~)%V@wfA|gO z#K$!!wqUmHq2i6We_m}3tO^bLZoYMC<=_5U-7DZ>L!h=fKDfrrmHkl7b2+ayY6c6V zW->gEaA~i+JO2V&*P-&dPA|SjtGN!I!}jVAQHTC~Y5vf~2aT*XEQWgzd^RTUxy>5* zL{TtRoPPpNjrEBWir(ZXuGefD45&Z^r(%?S_f z*t36p*LY}`VWA&hIm_|aM|1D+G@`C!{CU|7&YmDJWPV%>1uvE;Ve>oKROUm)95JuZ z|9p*g$p~LD%xAAS||6yqNlg@y}Rn$ z|F{@oG~s#^AI%!?n+r^^?vo1D+qb%dgkQ(Y!`-)j`}y=58wCeK9scKQ|9ARK+|B)lXZ>6?Rn46G_vy1ja4td zf+gx=$1=M=U)XB_{L7PTqm#M>Kht5Kr@8pE`B{Opcf?lhO!y=4OV;tb1N6|G(;3k7 zG(p`AFs4yV=^KbQ80hfX1Tt&R1dU80*$qrPi0nb5G!kKhLSm^FP|WV^*gyFlB}e{1 zIiSjI&~Y}+_AP0ye;&~yjlw-RC!xW~LP0}gAvQY0iRtoRmog^cS2Cd3twOWHfqT0( z3ZoZMYZ;{_G3PCjl%Sg#Kk}!4f%q&10 zITRFn4-sq9t-yDg-sjDtO;#Ndhl#;rNYbAKcQT8ls>$3ePj{WTWD1Qt%QG3}63S@<%%|5Yr|Sjt zdt@Sq^tZpXM#K;8S7vB}Krb>7BaEGD@k$?(^M-JBXC#f2GF7iR*6$KCNqS$9$nb@P>yh4>mFOFmsA)bR8B`iC0T z44Ofug}7C%)c$9~gct2FNOfR4PZZr&#y!q*7Ex{nYy|2E#YVxLqAqf+Rz9f2Y5_m!;ekPkf6QNYI&#d&v+mVUUS- zzV&h6JCqgz044}IFXW;$p4;>sV?+i~n2rv1R~hVONDw*W3|+DI*-$TT0uK>u^TuP{ z*kVQsOfkvek5#zd4tbg_pye8!iN99}z+3}$G=OEBfwKvhl+^Dn5k$q>%}vDy-rX+7r9NexFyFNgXOiY z>>l2sb?HSk?hJFip)U4~t202ji<st_b!SpvAfu)le~!X zE?^Ut-K&$Mq}&?YsuE32nF@)!U8ic?6kAfF3+(b5(`wX0Bj|^1I|sxY5`u^~m}O8t z<&k=oh{EEHyK; zMqrrd`7A*Y!G6JJ=rG${Ukr_W2^t$NKa!uALzvsTqLB2wz%x4gqygIG(GnY#1HFKjYJYVmRLxJ+xerPmBgEXO@>6u&IvE<3{Wo{4Ux|}dYUZZev3y3tXMX1h{B5Ye-^_5-{qbFxhz zqz(Wx+apbZS^=>TVhBk5I?*U9uXUk!@b%N)mKzBv;##kP`C#mhmC)aE$N~fwxyLm0 z0*HgJ>;(wpL?yu{73~DFl$^UPtp0h)*2I9Vn2pm@g`dzzepm9r>cB*9c(OEsmWJr-cimOW~ zS=cObE^)WvGPcW$+{jsGG;|9$@wVa;H`8>Sg+u!naSp4py=Mzm35mF6el3p&E^)nT z4^AlEAzJV@sWit+lL&^x>p!RztJRAOuz7N6)rxzOUO9#6=q2J50u0Z~&3cvWc7@|m zyDWaG0KRqdg}I1ZTdjKHh*mI}$=CoxJ;17iXTHDG^33Kz*X)g4yXK(;qBrSnqing& zc)UoXkTxAPmEy0D}OBCLX*A121< zsT1CH&mfJL(ZGb&Y6xF_!^`DMIcXtc{pwdYxWvVmW+)3h?2Yex7vAM0etGke?|>Lh z9t+r>X+C=NwL76dUQ$u6$8>ume^xY(<(A(hOSapDD8YO|0hgmSE@0>%RN}BXdm?ds z$(j1PlZ(0^-dNDGqIOJ^m|E^0ZWK-r;wQg@a4PBHtCTfhPbs^!j_#=4@JzqQHIKY?V-l-W4NX+@NuMrpFFrS#XTt?4=Riny zb1tDQmC&DfTvedPH;7BMHgY0=G%I*l3Igk_0xmH(H@mY$VJ$MN+?UCn$*csw=5hr_ z37*$tkd>)4np|cj_UZpi@3Xk{B({*KNO-}@smgdd{>cHVimxp!;?d4TB^v>@+Y@qi`oK0tTE2r}cK`%9xgHE=i>~ zv6grNML(QA^GV`hnBs@1o1(gTHt~as#sm>$q>Q(FX64A$c%-fn7tv;xKWYMr$}yIL z0$GMRhI1YuWy;;VH6uBzW`pWbcK9)#oQGWflUHwm-uIU7DjsLuh6_Az_RB{! z1U*a6QKq-^7pl5~z_EQyLQ%H<#bKayMoUXcC!+!r^T#;V(DlcsVU41?IG8*^fu_}#%V zYNkx^T8NSU%1oi*v$RbsOt(@;pbrWn1e71UNHsN(AD=0b=j4`5;nnWQ&{ zJxMuprdZE*q^X9$x3II~-MY92(p#w=bi%knf z7*THijDN_BR7-ONIKy7 zHAR_oY~?U3DDU1m>gP91Sv6Js9vchVQo9lVQSpxE3aaU80=bfLOMV0AAhenJgO3ae z8br0sFI|M`YQVW_F02HvG z?v}wu#hf?~1;6THb_EVs9uGr1KnLxm zSEggP8=Sf<(HFZAj=M5V#tjPm*vD;0_DbE(X>KRf5OJ5h!-tAW@JMx2J2>1?D;TuJ z4Z5o%`&H-SsR*sZI+3d&W_%xpuoP&ZC)byMm7aD#9aQif$w6}6@_CF4`^R5gbJ2j% z6o|B_62m6@A2-@KCR?e(*b`@^bh;1Lziyv4PY8)~0k8+Vt3BH_O%(fFsfAP`lCYNv z&v3FyvPl_@M}l2Rw$-*Ig-ylx8dcm_MI;+9H3YWN#Lt9(v=X~50p7-JI_g~FWOA9@ zlYZ~|mnC#ZqLyk{euEA7uwYJM!s&W&^z5GbLxzmW~u5_0K zD z3oB)vhJae2fF!J!n|d90Dd-{Z{CY}q8WjL*UmY~X+=qQ3J5E{$T~Tl zsgSaFRUlr(e)xm`{5{9+`FxW>?Jmmu7a!tNEOWx9R)!FIa(faL=~jiu{=(~+yx?!| z)jGTINAQyh^9bP0M~4spIkd}Dk^%bvzY}EEh!NSN1hDNt-rm1X%3puBEjwrG@_N=Pi@D0(qqPmC&94 zemu3oHkvioLxexN`az@G-(TndZmbNDa&lj~)>scr|DdI+Ew``+iE-sy1!P)??1KYJS^3_x7Jt>3NjcHHlAt9HR+z$0=uJDyG-BT9W; zVdmTZtv^JaiBKioz2TG&sd0I|5F>d>qtd4y12F0kyG#L1;VLE%Jd!H+t^4Vc#<9yN z5ZQSwSO0}AZ@k1%WDCf1(BYz6 zkFQk$C6SKOHD*9Ds$}wksEA=6Z8;apxjJhTG_4FCs%^&a0-s2BfoA5=hnC(VB718C zJwTj5s_>2f<-BS~^VGsJU8f>S{{w+ZdSsZOYZ@RY_$t({<)dAPqrN8Sw3J#Zg9OS^ zrX*A!VF<^`0ve$Om99v*R3X^<8RYprS=x}qfaydz6EP{JMn0L?sLGHuI*1r?DM;9e`|Q2vl8YN5)?HZreqDu`~)u z@0(DX(Lx6@AVDL#*ck1ErooJ&SkGMReqeM+vVNXICQa1^^y4776Hh}vv+>46bv=|J z2;D@v@Sx%nXsS-UKL1r;dmJ$RR#r&+0~|X`voznB13tmZuMDt-))?a`>)K0}v+uza zYyd!OSVg!*r(M%knpPynwDmjXSuN>qvRjD2q4G*ZuViy$KWb+wAiNUGIC$|S(Hug` zbLGGp`tShJ8Y?(D4l^w*$(k@{XA}&SV}*^bEM`kBf6vB~b!T1S37aM)WnsnF9)Wq#dG|Y#yAO?M;JZwN$t4d}93oPaP*NLA977eYWl%dWtNgQxw5g69|wh*{PqC+5^4>e(LSTs!x07Mw#De zISodu!c9k`+|ix2E<$owXLP5*#K9m6G@llCbPtaMR><2FWqQ)hf>YFZd7-fgsd(-7sshmvP{O{&d{~0) z+~2vpl&$-CY60O37D~nSfPs%n+I#n*aXz(93laWW{S-u?YcZ^M5M&-rT8CiQX2jK&&4B_zC-3jI~W#~W6Lk7PmIB9G)htEguLw* z?3n})RTJ*#WfhxxjbF4L)qyl>`>la90uGCyoow>{x&ZTC9=gR&ImeMN zuX9fY%BYBDq1_nf){ti}ESn9|AA-TgXCJvUE>afZy$TwWqF73k8>bsM3~fS5u<*Yw zU5V^G)K23BgL0z>{cx+L)Z7Zkm?MaDN)gctrf zrwar#BkX>8(NTVu2e=63fp}~M@UNAC8-z@M+bPrO$zQ^EdYC$tYh>{?_{^A?myPy~W?bNf}W9Nz+K%|Hw zNbRp0Se{m!_*>U`Q~-&=LlV5MQ|Dv#4kAf*J}}_97F=v64F&Bhe3OS?sMiq)bAYrr zfquFD!3=SOip=E(J3wZdKy#)wkeI4@b$Futoi_7J%>KZ{%m$6S?S~YcesWis)81)B z%1YVramEQ;eAL&7 ztSSR3AD=VX4Hl{mq%0)_shze@Jv*vAY#<6W)j0=AUcz%?nnFKYp>MJ4p$rx80eArh zXQHttonCuWlC3R5R0xL?aLV0DZY&pDFIbOGmHtKT|AV5El&2oWazfJaFs_O@4XFs) zONnD>#&g?HUZbtcv@Y{oF{ddDLN)O-jCd>>eC19l#&?oC3GN{PIpz-8QLaigYIw%F z*@R9zFT-1w-`VZ?`<@`lKz$sAevR}*1;|^K*7WpZ$K_9U zZx-oem_2YCl&XhPJaLN5@_+)BHDBN60W`bM3`jEed&h~WO`rG78DsH2YlQs= zl=aw46xHXw!8kiY=v zc;V%;B`IP^#`}d6VIn#vqFh(awSh9ch2YAz6|X$1T*Q~hktuhQieQl#L*{pIGrQU) zu^_)LM^c-5u$W5aMTCSswaZY7IaZgnI3A}PR%vXQ5;~S?GDYa`d*{?Hl;=m8*g^K~ITjQ@zVPnW?RN^76Jy+l#g(}e-2+zeV#LMzai8QsBFUDX`cVD! z`28_Df<8+llf!W5!BqsLHy0wq{+X4%`jp7SY(t$eU(f4(nJBKJY#V6q6m?ndNuapH z_f8&_>bX13CRkCG!JQ^SnQb(9MUq;vZJle%_Zh!;3#KZ&9p-zV<@+IJux^M$h$g|J zxbGI5ch&*#@D};*fRb31YUa%j6mf`(F%pW2#PKkT_yiOC-!{JSxx&hLA|U3~3Bs0L zCK@sKu4Z;Efgw&cTlR$`I0z)YpEyP7^3KiWYASqMHduzaPr;w$PN!m8d6Z-3KHP0Q zl=Aw-@#I9z8G$W^5f(di~sJ9gP{bbXq3YoTxFiF77rDcl>V9 zWScPqr8eltz-q3xH-7=#9`#Yu1+G*>+0(7j-!+~ZKT9fHus~GE;#7a)Rc;mSgY@)a~x3pza#xMO!%V-@xiaVMtB%(H^ncQ!=f zyJN7&Gi^8o=*>Bn5=(vF?M-d?w)ZX<`=s2uK-_NT>N#nBX8HJ9#emqT)P5wNV+e8Wl@h5&LOXWeycj7Be@= z7Zz9kS9{+bPjw&u&51~fLPKUU6P1~HD9Oq^WSl6;%FLE=lm;1Dm6RtNA$g-c1%5K*ji~1$;Oz` zKlG1}XgNV!KeFe%FE54E%?j;BuVp$T^UDV?hNR3@yPxUln#xcS*cPSQ)&;pkBHzZf z4)#Z$5)ajGwiEQv;~|^lN`Fh*IyjCuYZb*UtIs`tJJ5RI=JLgGH+CUri?I`vS}Mk_ z_@!yi{AX1AZoXUHHHnv~OOTt?U)ecj*yf5?(`s>f@W6`1(;;w>9su zo~t@w72h{wOP4tngh$WGZ(BQ*q#HNzfH2RkC z*s{{TUMjDC>2aZsjs9=bD-P{DZK{4#d*{hUSCGWezf;8}zBOyTB_-8Av%e~6X5_UD zh7B)vKD62_>Rqy*L|H)Jor@l3p*$mMbdVnIaE^;KOwSTtTVJ!(4UAtuBZLV_Ntqf@ zQ;Q9IOW77wi6O;A-aRLfWNFX_V}#-s4}lQ2$3XIJ6n<&&PL+i6E6?^FS9m&G;-{OBO`xzu{wZTuMOoqwb3cln&Dm)i?4%>j<#ygEO-o^KfG_uGZ^>Q zsV#^gzm|ojxh3bDy{E|5UvN(dN{VzmGFd)6n}VUup&|LQ2Bxael&(0nS)Jx_cC2s(%_9q%Jy*2dF6`CW9wWIxwkg774s;&nl7bv;)$ZS$1}u^|A9A$NhZyE@HOv)|7D@$-u+UcS z-P}i!_vL9xRZnkL`0@~`0=6|1l(aH8H^%AZ3J$V8Lo(~)lBm?N{7*g{m@tc^Wuun+ z9iY$d5NmbZpms=0f8R`N=Z z-Y;#5ucy#{$gBIwM-!maQqA&2`3X9$Dd3e@8=O0qaToEs|r#$YT-*BHks#-61^Fq{}W_huJ&OF@@5*pt|IF)*&RbEv4#Ru$H0UXcEGh zBzlSnNmI(zq0T1z@ z4uoi3xm@gdgUoN_sZ|Qzz#2m1uCnd_<5I>Y@3q1fs51j$vWK zwLfy9V3rSL7_Ah+yfMG(hM3fM^yyq4f}qU(tJn{Af_wb0sx4H+N(Xvj)KdFT(^Q%jYmmmlG{-=g zY={x58AnyqQi>tqtx9$2F9t`NoJiw6zu16-A}S9WGEFMy*vLrB=(E*nzK+;oH>zJw z$-|sdPr=c;xp2tME`En~d2Fq~OUHdyPbMneH!$@p(`#e;iTX z1q0K3EFPOZBE<;ul=E7)bj0CNt=GmVR<+nuD3p4f-56G&4W#1UUN|LmJC*722Ul}1 ze1F@NcN#{4#~s6&N+Dtq5~W4f;^|2P?bI^w4-R`ubCl&ykl9i07I_ zd}9l#=pKzbtCoeDSbfK})eJ(>qf8McHpldHmAggoof6OuQ27~0Br%88Mv{!oL9T?49CHBQuR-jO5|w;e3eanjf`{N>f$aWQ zmgxm=Ne$d`bcs{&tGmHFZ9fZMOo=!-<7LY-B&H!uk1;G?m<@HPlQU1h(;$tZkP{@t zR@NXMbH0Zuq>+B#{v7j-QWJZINmUg(yU0uWDudR&@PhL-+V5OnVSXAK`2k}R@7YTG z0dKDw?h2Wt-8;qQpyjw&a)%qfHWZX?TIQXgFQXH1K3NvVPQV+WWWNe+aPT3;mzz0SUbE$vuU_VH% zwKUw+Ds=Fg;earPE{SJ9ou@^Vq_2vJ6$R0pSq7fdL+wEKLp(8P@D5f!{Uj?Zxt#h{ zP-w?}4qA;@Pf*O5yL5R^rL_yIzK*ZxFv{Z+@auwK)$LUBDuBR99JgX)LLn{ zQo!`O{Wzlqebog_FI_>(x8h*ER+kFjR_QGW6eN^JJZQ;?N^wcTv-6sy&#qd1aB=sP zJyQ0R>4{F_^GKeTagmjhq^A?D@b)t_dlIv)II0w!PcmYnc#;)3(-elI=p>%IPdLm! z%y9f0$Q~`mOzKAZHE6B0NG2X^oeO>c<>*1WUY*?Ur)^Q(n*6a}^B_-Vy|&rYu>-tY z_(*7$bQET=({4^b+}>>hOVgDc(jp=`pI)UZbTyVqzs*gMw5%nOJ)XSE@0!3Q*`R`XB#lD%m zIYrGSh=U2sx`6OhPteOFjiuknq1KOD*1Ovt^c$fqI1rt-O)VfGg+fi`OnjCUh#Fi6 zbvUqzOskJ1mI$q}UL|dGiG()V<<6ilE0ZpAEX*i`ge}mV`b{^e)Y3jq)(TEI_TuSf z-(R6+Z?po6RAh&S0^^rW=^5NC=_3+ukJN7$LKT8*PltQ_%=JNclU$bEZr05wytcJn zx(Vm7SOa8dSM+K2k3vtl0|+s4g2FWee5?3e?kf8prFW{*2M$l>pQ_?+h^d~A}h7zKhSTQPm) z7-0a9=O|yh_8-j9aG4lA6H$fw@53iJ2NLkWd021Zs%r{E0f~zn?%dM{{>Fq-;??a3&0z}nP_cm#M`{;7*MK3?_B)UEcD0ggd-Et zFNk}uZyo&Eypd|<@C-)luodrngHy=x&1lJ^&oPu9WY642`IEc&(X2# z`Q}`{R8ouOUqIarx~A9L)fVpcuFL~j5D{m!5PP2NVO9dpXgvrpmiILG`PSEoniIFN zX6O**ree6~oF{0M>QxFb@XAF**TkGAM)uRKh=GM}5nwM?AX_~TrETE?#c>bKMUZvMPnhup ze%A!dFXjp~NVMGEb?}ppV@AP9na}6Y^I|oKXG?;yP5!`bL`QcVSfb6}w3uJ^IQzbY zmQXf`o79r_t>+^g$Rcf^Zay{C`jmQKsLmT@-bX7e4fYI9f9;X)0JQzWmF^D2j}7F* z_r_-SogY{MT?yrdfJmPP;NLy*nE=%g`Q0Wlb4B1I8i=TNEMk90lXzi*$k^`j=oMWO zt-0sA?=g}f|5Wu6L0Wi(I8`FU$YWrP)&d#rc+kTPz&Wb?@W9IH5e0F~>vk86 zF?HnCbt6j!%rn z4y_kjrtfMF2eT1l`bX_9`-V{Py`D7OSblh@OuZuH!%oC#UU-k^@|2bgKG&@2a2eMq zrfU%hU$M0^zA^MS1y}Fp8*+|eg3O~GKjL^ghBK)o1F)!3ZQh>!hjI&WA|I) zE=&|lf>L7uS>NEqEKTFWLgCw`?$GlxI>O^hP|V zNkb$1xjF>T8|PbGmq4NgM zv)A7eE}O%((`7IKJCX~A^aWL=pJT?fd;`=2-#pDLeU~%kxseixZFZdP8pqHWrKCiP z;2B-|adP{P&SF{yC)Mf7;HKx+s4Uzv)EQ5;&|0{QQl&iF|AY$dy4vHvRlk{91j$IS zcFRv9yz%3$wEK9j@uZt?C)fh7#9Au2HU9lT(#LWkVKXg+mD_z;WnaQqbc?zEwJftDRyhw4Gd)B-rh@Lns65SC;1D!Re(|W~eomtL;;)6r^F7QgWAxzr zksjaop=?oyZp%*|e)O~zc zp|sE}&ePAbQ#V(a#XIwzkn#L^G0%U%?GZADLL$SII%m<<5Ew%jJJZi|gD+3epPO z=?gKuXGxV{P@h*{e^>40oqD`VVTs&+h?@6Hgh>79MFO>0|Rq(f0g*ncTsT$WDAq{JwrvrkM@r{n^OFflK#k$spC*2=+m>6YA?u+s=>UF zCQc(!u?9xjo=k-|p*vvZmdvBt6cchl!q%0QnJP8K#42$2d z71|C|^1gpL(f&f8Q(IMaK^A17gAs$hYlY6%P5Jqv*|rboliDuEEU&eI6NUcvpq{R} z-^6vl!JMxkzuUz41srff6+n>o^Xk&f$;*G;<;5k#KCNhBf!|R_iZ}g|no-K5ZKLYj zM%V0k{w!q_<$>enYdiEVn7@qYZO*xnmY+^!YsLu#YdR%yLu{Mw{g2UU2{vz`>1D+ zA3sh%DaI?s%35(@)aQb>cNW|Z)-Nh>L%YCs0V@_&nvVT3)65ilY0t5B-k7jt5-)= zy}pV1&MOB51&PcZ1p8t6i!o9p@oR<2Eg)oAH}<(uEqMEEs}W?INeeG>O@I%tk#^yP zPPR{zQ+o|zFo17g!s!KM+{hdZD=Ztp{NYL4Bn&CC0UJrEPYFiPXeft3^GaI^dRRfH z(2h*!8Rs)vh(}VtI0K7n_Lho*!UK3?H5`21CO?l#ktI9IQo2|K=}F#6zmTyKvbB67 zHzh{J4BVJAch5z2zCOS0DP$G?F?7c3%Y58I2 z);E@dk3KUI)s4H_7kVA<%qS6W&oJaiw5N5~uy;JhA97$xvF>liE=xI`Z)$4dxSKNb zXe{nLeL0AG$LbE0!pv>lbsVUhU7jTV1DyMVCH$rZVZI8=UZ8i4u3NpN-+wNskKu z+@V8x%_2w#>!7Gpx)9+Yx&rDAiC1buG$0AIk^AP@1(Y}gnWZ49)>Ee(v*O&JpJ){31!s9dx#y>*!~JNv51%-3qV(m*t%evxC{L0LBsEmj zACcPKn$&@wc=BVB%h$`<{SRL4EiUE57HaLKp?NRy?DZY0hDq)Ys^5z1RdQ;gxou~J zAq)lU6EnV*HmzsKUV-7Kx=-5lv~6x)lZ&WbII7Z9rvJerVA(-UM7dY+`EL{4 zo3{YhzY{+GpWoiH9&rD2*S6e|zgNo{l8vyaA6>`QJplThUT1g||8sXAx>z0B-b^vM zB@S8)fBF_;l2urfbDU>>HQM>7vkJdWlx)S%NVg@*{oSwef-Gfi$Ae$w8~@$Ja_Lxz zEV`8B-~6#>h%N`UeKjxHp+B}Gy}hmAwdqC^^=64Sjq21gH#~HY}x$TFl_q3b#{+4bjCqbM#T5?Y|KO%&`V*b*pR`X*=7d-^O+@l( zaPTvX*q<=9?#xLE<2PIcRGVXU?Ae;)i3MF1T#WiChUzZLg@^r(0*_jLzyV10R**bLt;uN zGit3C5D`rTe#4TxY#>B>R`wV#qAX7W8RfZvW;P-s`c{QAGFtRUK$B)?%Ch=F_(d-q zMEHD9s>WBl()y^rZPZ0o?1reA_Zk!TAI<&Xqp;uqeMY}8(oE>itBD)1kNpRwuwX9> zQRGo!C)qzV{$ZJllV?&CGp6r#+>FW9+A&}%{POY}3e6-)s6R%q16?eN`#5MUjrJ7f znHzw4ZPdqedH|_Ok;cWxV;fMAfo3+?UjfbC>!eA_j}LRIJ`)aFD@=pI)z36lj*qHnRp8mEG zZQhFV-KaE_&7IUUjGM3D4T_2G0!`R@O*YooG?J7Ln!~*Ot^>!>k%H!*t}~ycMwfe{ zpvxKt@~+h&YR)bopb2CX78s@u2B!MbwOtEj(Slc4jNEZxp?(Hbk@!J0Ar$0l-KlwNAbJGmUJh8J6 zpCa`TAT7XO;v*K{PbN!*BV)6j>=asR3i3SiMA+&iU9wuNkE`VMFZW$1y9=_9aB?c$ z+siJ&Q@vJk6S$6|iv3U+H0PLWo^qQ_-o+$wA%YJZndtFcH97(~7}aI#bNt+DG2U9~ z2D*XF($=-0WuOyrOrJx}kGAF|^C5Ws1W9vk`uIRM_#wQ8uD}sUPz>j>pXfND`4L)w z{_E-q7qTuhg%9hN-(;JRK29PvQASF%`Cz#-!3165+_~U5IsaOav;92rF*~k|x&)LI z?3cco%(VA|Vpm7DT`N5?i2(|v)rxm`3R|>R&n`B`-1eO8$T~gNo?+uT;0n4#*w1s6 z3uIKgrC9n!anNOd+;8ecdFbSoyE{BBrZPb~Lji){=!qnpriXQ-DLGVk9jDRJGw={B ze4>{PVx$}B$=miAfoxe=Ypd4M8-CA$rUTDNB}5l(b-anV`o7yTOv(l`*|-Iy~|ZMC!t=J-Pjt7Gu%C@85wFGpH1W0V-T1+oURsrpt4VXPy zv^-kppbg0j#oUbRE?B874kXA()67QkdDj!50CeyEeZlaSQQIWdXzSkb5}D`KS$i8$ z5hNKA5IdB7bT*@Q7r8;9L(S^t_|u)YcQZyN_I}9q-MPOOS_s)g*}!I=V9j(K*Di1z zk7!NRQOzM6DM_&#e5+C7<~UOoT;jeEd5u7|!1MJW@i6&Fbs*?jE5Z6l$|b2oNiwP` z&^8W*;?O;;C3aeRb%5%9*eQAvc2;k+*-nEJHw@I|#z|=|(0^BXPPRb5F!8Zv2xgbM z9K0JPo{@I@y4b)*{0i;~^6q8^c<=UT>y4(TO@XnK2sg`yOi)LBa_Obm!hVPq6WlQ} z6xeANcJ?=x+XO`|-jiC)Z693k5BCco@3@HG=<|YkHx>R&ASpHIepz$0>4%n@wUmX; z37b*qC<{D+3g*+XCsqJ)$)bRva$=)B4-#O@2Aii;TJm0_YZc2k$r@0s4#cOEd7uq3 za#?LtxE2?+V+0=*ndW^buOzJ)X&dVccR}3Pj_Q1;?-c>qz~@)FK(RYflFy@^#wC`6 zp;;iy(7JY}d>$oWS|0|t`W-NMxL}UqeXis>VVeZom3Q(Su&o#!b7%!k@a*YPm^8H7 zC*4vY4G-S#G3;Wa2L>*hdo2(hd*@M(<(24_za=kV&W>dK-k~IX7mLjz<7KD}72Lfo zUe+%2R5`)jdtMG!(1Uu@{UT*c0hZ^Y<^&qnDxS56>#_B#7y%~&JjpW7flA5{bjs(o z|1y43wnEfE&SY={&5}Uskj16~K}A^8aMU2Wb37YNob3C{i51SD7rwp*-B)dR$4zRN zi^$Aa3EOV-q^-x2nO(qI)5Eq)E_xb0JlAwZGT+4#1J(rZuRayI3#f7ZUQy50{Kv0V z?^KPeeE`U$vkgt4;-lzg=_kkCzrV}%(>=~3hY!oHEP? zSzO6)MR>Pu6FhN3U9fryK%E*`w{;E&=vUJ~1M*sDj)Lc0s$l_7eYUs1j|dEGpnHzH zAg9A(M1?zPQv1knj9;!aBwQ!QOx;kf1NL!Y+D2CoW}v4Ew3Yy)@f#4l+;ei$P_ytY$PADo`;A%ug_Z!D+n+Onf2_hehj>mIN9 z>}Un(IwwK{rx~>2+OL;`V&&(NruZb@22`vwL4>mU!Np;ryX;( z?C2sT37XOCo;eHLntlo5@z^hLo>GTQC0ijeTIM~y9YUi#+TG2fQPV5eF;R!|{>TlZ z1rB)a{iY8RuTazhr&7xkCN%fb(Xm6f)5!x-ejGwDyK9!v97&DcT+{itg}a zGsEPqHBC=o`Ljn;!gJ)uA)!juYgx1Dk}YJ25y0SGi6RSLxml8a?3EmgIPud3&EeHn z*70R|)dhabz$y6M$VoBInDDffazw<;>YK}}+&qi6T4Qk#C}5c-NsBi1AT-p~&FWRa z9`Se*>`_i+5LTv(d~{xBcAo=bWPb60vq%x8VK3bX|X(=>60vCa5@bO3h zHKnV8F}$Q5P%z}~X^j55hwbbmOfLlaBcRP#n@i|se)*Y|hFE{c>Sunh6J8^&L~lzB zK|Aq;Rg-j}*|S$_e%1`olB&^%IW||v4f*{FFTd;tYnN>IeN%hTEF`3`!*kL%7T;KU zc>}gOU5n&0s*y(LHDiVG4=+@t8c@2AI=1Xma(e`k-uCQjCjEnm2o6ZzPcqZ&-JABl z_^`J(B`LhY9MDh_o^e|P)?>uL>pR2AbluGMf1P0^VK~|dKuZ(rSHy;9^aP<-4Xca< zq;P1~)`F1UmuGLF-$*V)jGY((1=!<4?(pK)aq*`{cCyVD3_lY{tsHN-{`J$F7rX#y; z3z(Yny=>UNbjv(TXt_1cfDIcLAga~h6O~z#S*kcBTPxdGn~IxR0qXQ%+;txgPEP;& zJ>8H3eJpm(&gb{6h5QR!MTTWV#ZWC%*m`c(2nIVxUI(XB6kVy=D@{kR>ou%VG0wby{UVV2O-g$Y}^3Bib5RHNLGNbAsxijYgMZ{K@$ z+|Sw);AkXQ1ju#&+BwMDpOBlOXTo(Z?pgcTerYPQHvA|jG_sOM!VY|>lqbB0I|%`R z1ii$xS#)NWc=LH@I!|2`P|gKi#)~?)b3NG1A=p7Ky>fapmzLi#QhB$~+pnJO0(kG8 zy(2m{*8IqprctI2D7qma(4(lVtQ_e1%yl1m-qhZyNp_;K9^V%~SC9YHzbySk#2ja@ zm&+yW_>a$FASc;*f9{_%bnk7Dp^Nn&ZYKG)Zu~plpN5H?)}o#I|4|ucbR`wYu4BaBO37HIfvNPR`id!ccvly>t0 z!yhXYjoVsF+XEwi?hJS{<6sJ)24+EyGKxEeK|Z8(?OGbFHT_SYJ{=Jg>m-r&0?o^J zkeID8)SUVV{p{=Kjm>s^Kf_bhT(-m3wKAvtem&pZy`r}L-thhyg68RPUN3~%2$<5S zhT)Xeh*y?48qV|8upOF!Y(ofuIqg@~Y`)(xfvv-uGv`!fiO>~NbMn?Fo#~q zQuA6dJLAPN(*~x{#MF9uIXTy(9H#YA4**|zEW!9P<7k_{f=;?LBvfI1SUp4zK{#5% zRRbA4xqeMDk8ip)L4n3~gtftw53C1YBqS!*K*n$d@ZPwYr=9>Je>tGH{{_vDlACkq z8PNi}oL|t%N+qPXEV!6r4(>6hC_F86DTN_aD)~~-AujZV+)9NmU*n1anZBBp0Q>CK znkf*!h2+2xDPtZyCvHJZ(5#T1=k-@fiq)ytKm}o!lIp#o2%-P_BfZa_Q2Z)gz8vQ; z)~c`$+fXfVuuJN7I%7|hsowgo`FPRM)&)$CJ#qyCOM;Zs)*k2#od}z-p zsEHiM!V|GS-Tzy$XhlW8)V5B68P8_6Ac;@ei;%@4ARs8Ju2zL1B@(eBWt2tcH#pc! zi#DE?>~Ek%5e${;iiGyXlR3}Fg1lCZmw*wSsFk9TRP}tjv7;R)<*N0^mv35?#?9x9 zUT7rx`Fa4vLF=`i;&OwKzZ=cg!EN#?}#Y<`lnM=-Pdzu&hSl^;ZKyJx6KKau;Aj^Fc zL9S#4_p942td$t;OKk^auXjUF<1y?yS@7n?k@2I#`t$F|D*X*eh>u!U)<@xghnNz#9GCv6^6gGYC-cu zfGjz~I1oI!g%-ZR3x9*|-Ha2qtyjNUF52P25f!o4r+?3t_CW>sS^Sr9&A=K%T#J-` zxg*qb5dKILu!WsP9F)i5skINEaI9Cs-a6L;-I~wPsFQm4g`Euo;V?l@UZr=R`N@N; zH#eUH`T#5#%GdtqLx0+6Z1HFEB+o^;~}?ApZR;sc*wKzMhV2x$;v?isESmlvk%k z@R6&uIjAo}ACo4afK1rtGAi@5`@#^P75h=`ba&K;P;=;VIioT&MbbKe?I(de6j(ELhDL^6)P z_4&M07IV--=H)yeb=+iSZk&@)A~FsgoZRtBMNm$eb1jCXz7~E^B(x8#+p})t^=IrY z-oogZ2O&B#a!i1q`XGH+TbQB00BKwx!?w)?0=EjHRguj2Uk4bO9wFX;iOP>pepy8V z$jI%Ze+#(J6@5z+feuaxG6%T)h(ALct?m8>=qINP>nmiwFDr66XynGa zV3KKm&I*R~SWceQ*vDtU1@ZG_38UB2J3~d-xr;#wCT=I&D77<|_2SJyfU+Ngie%*V zQMEZJD-WMYE=Yhyl}`SYl>ZG>XIHkI?#T?@#cIn zgM>?FjW}!zqp=9~t(gZMv}&mDOn~B%RGOqFwWgVFaH{=*&;?|ClAfyl><<*6Uk!(H zz9ZdjXVzu5@8>hWl~w*W;83DXU#b0QGkY0DqGEUm3?;ootgv6D%}=zl48y*LUBckC z9w40`lGCu5c%d)}9T_pxIpvYb+Y(b3;xM=t3I&!9&L)h^HKHAYor!) zybt|+1!ZNyXvb2G1y?z&FQK$47TG}`LZ`77h>hLZS6~XW8Q4-mtkX~?gaDH17B=`p zCGI>;3|VqZI@jbch$36#D@z@ks3_n~AvI{KBD6h+z=iU}=NqKbj`GLyp#7~21s8Z} zcQG85l|(h=gZ*`vxUKewaHXWd%m0v%Z6p+hPlZw6P80J=w4 z?=G+H#pc_}%oBQ!F6%*-4)Z6tqnV>q7Y-gg$Z-IF{hkHCs-^XLuNBghhBxz&fP@=3 zEayk^t&w5p_r)Jf!$L%F|L_*YkFfOfjsyE5I)>x`ikV9x@Ouc{@+m+W03Qhs@$I1d zGj4!GBUo+Nk*Z(r>_6cN_kTV*x%YO(kinlr&%ft@u13DSKuOm3=X+DiiJA*uL|n*_=zn}{58r;85TeHV&-MIWkZcBZ@-QOe zMzn%G!+(5y3cj7ySs|JF=a=Q*!;>JOM$C~@yZ`+0ttj~R;G!d1|G~yUvBQH=3t=Gp z<(&T6ZDh~Gw^w8L^8CGPZn;L>URW0YH;;XlnN5UOe=m1wH4*%$Ab0*ux~!4U{{ovW B67>K8 From afd43e70cf269693f3565b91284ea7cbfcff67ea Mon Sep 17 00:00:00 2001 From: larnsce Date: Thu, 23 Jul 2026 23:46:42 +0200 Subject: [PATCH 4/4] Remove built review app HTML (#28) The generated datapapers_review.html is a build artifact: it embeds only the candidates still pending at build time, so it goes stale after every applied decision batch. Screening is done, and the file is rebuildable at any time from the committed template via make_datapapers_review_app.R, so the repo keeps the method and drops the artifact. Refs #28 Assisted-by: Claude claude-fable-5 --- data-raw/datapapers_review.html | 833 -------------------------------- 1 file changed, 833 deletions(-) delete mode 100644 data-raw/datapapers_review.html diff --git a/data-raw/datapapers_review.html b/data-raw/datapapers_review.html deleted file mode 100644 index 616807e..0000000 --- a/data-raw/datapapers_review.html +++ /dev/null @@ -1,833 +0,0 @@ - - - - - -Datapapers Screening Desk - washopenresearch - - - - - - - -

-
-
washopenresearch · issue #28
-

Datapapers Screening Desk

-
-
- included 0 - excluded 0 - pending 0 - abstract queue 0/0 -
- -
- -
- -
- - -
-
-
-
-

-
-
-
-
Abstract
-
-
-
-
- -
-
-
-
- - - - -
-
- ↑↓ navigate   I include   - X exclude   U clear decision   R focus reason   - decisions auto-advance to the next pending paper -
-
-
- -
- - - - -