From 0b5a8b24a37d886dd2984edd07abe757cc41f2b4 Mon Sep 17 00:00:00 2001
From: "Moe.Richert" <Moe.Richert@usda.gov>
Date: Fri, 31 Jan 2025 07:34:36 -0500
Subject: [PATCH 1/6] update details and archive pages

---
 _data/tables/funded_FY22.csv                                    | 2 +-
 pages/opportunities/ai-innovation/ai-innovation-fy24-awards.md  | 2 +-
 sn_collections/_posts/2021-01-10-Geil.md                        | 1 +
 .../2023-geospatial-workshop/2023-9-25-Geospatial-Workshop-1.md | 2 +-
 4 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/_data/tables/funded_FY22.csv b/_data/tables/funded_FY22.csv
index 226592979..4b85559d3 100644
--- a/_data/tables/funded_FY22.csv
+++ b/_data/tables/funded_FY22.csv
@@ -11,7 +11,7 @@ Improving the accuracy and scope of machine learning tools for camera trap-based
 "A broadly deployable deep learning workflow for image feature identification, segmentation, and data extraction.",Devin A Rippner,"Jeff Neyhart , Kayla Altendorf, Garett Heineck, Andrew McElrone"
 An AI approach for discovering novel blast disease resistance sources in rice.,Jeremy Edwards,Yulin Jia
 Predicting interspecies transmission of influenza A virus from swine to humans with machine learning,Tavis Anderson,Amy Vincent
-Modeling the Spread and Adaptation of Stored-Product Insect Pests in the Face of Climate Change,Alison Gerken,Rob Morrison
+Modeling the Spread and Adaptation of Stored-Product Insect Pests,Alison Gerken,Rob Morrison
 Using AI to Analyze Climate Effects on Crop Performance,Xianran Li,
 AI/ML and Deep Learning to Enhance Understanding of Dietary Patterns that Promote Human Health,David Baer,Lauren O'Connor
 The evolutionary genomics of Macrophomina phaseolina.,Peter Montgomery Henry,
diff --git a/pages/opportunities/ai-innovation/ai-innovation-fy24-awards.md b/pages/opportunities/ai-innovation/ai-innovation-fy24-awards.md
index 707db2631..f0adcf196 100644
--- a/pages/opportunities/ai-innovation/ai-innovation-fy24-awards.md
+++ b/pages/opportunities/ai-innovation/ai-innovation-fy24-awards.md
@@ -45,7 +45,7 @@ The ARS AI Center of Excellence (AI-COE) funded four AI Innovation Fund proposal
 
 * **PI and Co-PIs:** Carson Andorf, Hye-Seon Kim, and Taner Sen
 * **Amount of award:** $100,000
-* **Abstract:** _Fusarium_ is a pervasive fungal pathogen that poses significant threats to global food security and causes billions of dollars in economic loss annually. Climate change is predicted to enhance susceptibility to crop pathogens, demanding new resources to empower researchers and breeders to develop resilient strategies against _Fusarium_. Here we propose to develop the _Fusarium_-Host Interactome Discovery App, a digital application to identify genetic and proteomic interactions between _Fusarium_ and its cereal crop hosts: wheat, maize, barley, oat, and rye. The project will create an innovative artificial intelligence (AI) workflow that will predict host-pathogen protein-protein interactions, identify the functional consequences of missense mutations across all the species, provide protein functional and structural annotations, and create a web-based application. This application will utilize advanced protein language and protein diffusion models to elucidate the interactions of _Fusarium_ and cereal proteins that result in susceptibility or resistance. Visualization tools will enable users to explore how genetic mutations across 22 _Fusarium_ genomes and 135 cereal genomes impact protein interactions and identify potential targets for developing disease-resistant varieties. This collaborative project combines the expertise from multiple USDA-ARS Area locations, fostering synergy among maize, small grains, and _Fusarium_ research communities. The collective effort aims to aid researchers, breeders, and farmers in safeguarding cereal crop health against biotic threats by providing valuable foresight into the potential risks of emerging pathogens, their virulence levels, and the extent of variation in resistant germplasm. The application and datasets will be easily accessible through the GrainGenes and MaizeGDB databases.
+* **Abstract:** _Fusarium_ is a pervasive fungal pathogen that poses significant threats to global food security and causes billions of dollars in economic loss annually. Environmental change is predicted to enhance susceptibility to crop pathogens, demanding new resources to empower researchers and breeders to develop resilient strategies against _Fusarium_. Here we propose to develop the _Fusarium_-Host Interactome Discovery App, a digital application to identify genetic and proteomic interactions between _Fusarium_ and its cereal crop hosts: wheat, maize, barley, oat, and rye. The project will create an innovative artificial intelligence (AI) workflow that will predict host-pathogen protein-protein interactions, identify the functional consequences of missense mutations across all the species, provide protein functional and structural annotations, and create a web-based application. This application will utilize advanced protein language and protein diffusion models to elucidate the interactions of _Fusarium_ and cereal proteins that result in susceptibility or resistance. Visualization tools will enable users to explore how genetic mutations across 22 _Fusarium_ genomes and 135 cereal genomes impact protein interactions and identify potential targets for developing disease-resistant varieties. This collaborative project combines the expertise from multiple USDA-ARS Area locations, fostering synergy among maize, small grains, and _Fusarium_ research communities. The collective effort aims to aid researchers, breeders, and farmers in safeguarding cereal crop health against biotic threats by providing valuable foresight into the potential risks of emerging pathogens, their virulence levels, and the extent of variation in resistant germplasm. The application and datasets will be easily accessible through the GrainGenes and MaizeGDB databases.
 
 
 ### Bad apples? Next generation postharvest risk assessment tools
diff --git a/sn_collections/_posts/2021-01-10-Geil.md b/sn_collections/_posts/2021-01-10-Geil.md
index 681a515c2..ad0c013d9 100644
--- a/sn_collections/_posts/2021-01-10-Geil.md
+++ b/sn_collections/_posts/2021-01-10-Geil.md
@@ -7,6 +7,7 @@ excerpt: "Scientists of many disciplines, including agricultural fields, often u
 author:  Kerrie Geil
 affiliation: USDA-ARS, SCINet Postdoctoral Fellow, Las Cruces, NM
 
+published: false
 ---
 
 
diff --git a/sn_collections/_workshops/2023-geospatial-workshop/2023-9-25-Geospatial-Workshop-1.md b/sn_collections/_workshops/2023-geospatial-workshop/2023-9-25-Geospatial-Workshop-1.md
index 34640929a..7a5d635ae 100644
--- a/sn_collections/_workshops/2023-geospatial-workshop/2023-9-25-Geospatial-Workshop-1.md
+++ b/sn_collections/_workshops/2023-geospatial-workshop/2023-9-25-Geospatial-Workshop-1.md
@@ -93,7 +93,7 @@ Noa Mills | My research focuses on using deep learning tools to identify agricul
 Andrea Albright | UAS image processing using ODM on the HPC
 Piyush Pandey | I will present my work in using deep learning models for object detection with UAV images. I have used several approaches to accomplish this including the creation of synthetic training images. I will present tools that may be useful for researchers trying to identify objects and extract traits from UAV imagery.
 Haoteng Zhao | Using SCINet and remote sensing to monitor crop conditions
-Laura Tibbs-Cortes | Switchgrass is not only a native North American prairie grass, but also a biofuel crop, and its response to climate change will have impacts on both conservation and agriculture. This project identifies genetic and environmental factors affecting important fitness and agronomic traits in switchgrass including flowering time, biomass, and winter survival. These results, combined with future climate predictions, indicate that a major shift in the distribution of switchgrass subpopulations is likely by the end of this century as warming temperatures alter the competitive advantage of alleles.
+Laura Tibbs-Cortes | Switchgrass is not only a native North American prairie grass, but also a biofuel crop, and its response to environmental change will have impacts on both conservation and agriculture. This project identifies genetic and environmental factors affecting important fitness and agronomic traits in switchgrass including flowering time, biomass, and winter survival. These results, combined with future climate predictions, indicate that a major shift in the distribution of switchgrass subpopulations is likely by the end of this century as warming temperatures alter the competitive advantage of alleles.
 Kevin Li | Landscapes can support multiple ecosystem services, or benefits from nature to people. The requirements for these ecosystem services may result in trade-offs and synergies when considering alternative landscape scenarios. The goal of our project is to use machine learning to identify scenarios that optimize multiple ecosystem services within a landscape.
 Dalmo Vieira | A methodology was developed to estimate soil erosion for large watersheds using machine learning and RUSLE2.  The approach uses improved terrain analysis methods to define surface runoff patterns and subdivide the study area into hillslopes for erosion calculation.  Machine learning was used to speed up RUSLE2 erosion calculations by a factor of 65,000, allowing for the production of erosion maps for very large areas at 10-meter resolution.
 Lucas Heintzman | Ditch networks enhance field drainage, mediate runoff contamination, and are crucial habitat for species. However, our understanding of ditch networks (and associated ecological dynamics) has been constrained due to private land access and insufficient elevation models. Thus, our project aims to develop a regional classification and accounting system to accurately delineate and quantify ditch networks via LiDAR and ML.

From 82b3805aae6b9a83c92b27b9b1841446244dca30 Mon Sep 17 00:00:00 2001
From: Moe Richert <104998806+MoeRichert-USDA@users.noreply.github.com>
Date: Fri, 31 Jan 2025 11:42:18 -0500
Subject: [PATCH 2/6] Update 2021-04-15-Hudson.md

---
 sn_collections/_posts/2021-04-15-Hudson.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/sn_collections/_posts/2021-04-15-Hudson.md b/sn_collections/_posts/2021-04-15-Hudson.md
index ace342c5f..a5fdf4699 100644
--- a/sn_collections/_posts/2021-04-15-Hudson.md
+++ b/sn_collections/_posts/2021-04-15-Hudson.md
@@ -7,6 +7,7 @@ excerpt: "Rising global temperatures have cascading effects on Earth’s agro-ec
 author: Amy Hudson
 affiliation: USDA-ARS, SCINet Postdoctoral Fellow, Las Cruces, NM
 
+published: false
 ---
 
 

From eda0412d9e12bfb11a45e8c154da42021d63d46c Mon Sep 17 00:00:00 2001
From: Moe Richert <104998806+MoeRichert-USDA@users.noreply.github.com>
Date: Fri, 31 Jan 2025 11:47:29 -0500
Subject: [PATCH 3/6] Update 2023-9-25-Geospatial-Workshop-1.md

---
 .../2023-geospatial-workshop/2023-9-25-Geospatial-Workshop-1.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sn_collections/_workshops/2023-geospatial-workshop/2023-9-25-Geospatial-Workshop-1.md b/sn_collections/_workshops/2023-geospatial-workshop/2023-9-25-Geospatial-Workshop-1.md
index 7a5d635ae..9b92ff87d 100644
--- a/sn_collections/_workshops/2023-geospatial-workshop/2023-9-25-Geospatial-Workshop-1.md
+++ b/sn_collections/_workshops/2023-geospatial-workshop/2023-9-25-Geospatial-Workshop-1.md
@@ -93,7 +93,7 @@ Noa Mills | My research focuses on using deep learning tools to identify agricul
 Andrea Albright | UAS image processing using ODM on the HPC
 Piyush Pandey | I will present my work in using deep learning models for object detection with UAV images. I have used several approaches to accomplish this including the creation of synthetic training images. I will present tools that may be useful for researchers trying to identify objects and extract traits from UAV imagery.
 Haoteng Zhao | Using SCINet and remote sensing to monitor crop conditions
-Laura Tibbs-Cortes | Switchgrass is not only a native North American prairie grass, but also a biofuel crop, and its response to environmental change will have impacts on both conservation and agriculture. This project identifies genetic and environmental factors affecting important fitness and agronomic traits in switchgrass including flowering time, biomass, and winter survival. These results, combined with future climate predictions, indicate that a major shift in the distribution of switchgrass subpopulations is likely by the end of this century as warming temperatures alter the competitive advantage of alleles.
+Laura Tibbs-Cortes | Switchgrass is not only a native North American prairie grass, but also a biofuel crop, and its response to environmental change will have impacts on both conservation and agriculture. This project identifies genetic and environmental factors affecting important fitness and agronomic traits in switchgrass including flowering time, biomass, and winter survival. These results, combined with future predictions, indicate that a major shift in the distribution of switchgrass subpopulations is likely by the end of this century as warming temperatures alter the competitive advantage of alleles.
 Kevin Li | Landscapes can support multiple ecosystem services, or benefits from nature to people. The requirements for these ecosystem services may result in trade-offs and synergies when considering alternative landscape scenarios. The goal of our project is to use machine learning to identify scenarios that optimize multiple ecosystem services within a landscape.
 Dalmo Vieira | A methodology was developed to estimate soil erosion for large watersheds using machine learning and RUSLE2.  The approach uses improved terrain analysis methods to define surface runoff patterns and subdivide the study area into hillslopes for erosion calculation.  Machine learning was used to speed up RUSLE2 erosion calculations by a factor of 65,000, allowing for the production of erosion maps for very large areas at 10-meter resolution.
 Lucas Heintzman | Ditch networks enhance field drainage, mediate runoff contamination, and are crucial habitat for species. However, our understanding of ditch networks (and associated ecological dynamics) has been constrained due to private land access and insufficient elevation models. Thus, our project aims to develop a regional classification and accounting system to accurately delineate and quantify ditch networks via LiDAR and ML.

From 57f94f9d64923ca0ea35ae7d1332045db68c4797 Mon Sep 17 00:00:00 2001
From: Moe Richert <104998806+MoeRichert-USDA@users.noreply.github.com>
Date: Fri, 31 Jan 2025 11:50:01 -0500
Subject: [PATCH 4/6] Update funded_FY22.csv

---
 _data/tables/funded_FY22.csv | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/_data/tables/funded_FY22.csv b/_data/tables/funded_FY22.csv
index 4b85559d3..8ac7eec8f 100644
--- a/_data/tables/funded_FY22.csv
+++ b/_data/tables/funded_FY22.csv
@@ -2,7 +2,7 @@ Title,Mentor,Co-mentor(s)
 Developing tools for the real-time monitoring and query of all the world's publicly available sequence data.,Adam Rivers,
 Determining the structure and function of proteins of foodborne and plant pathogens using Alphafold2 and top-down proteomic analysis,Clifton K. Fagerquist,
 AI-driven phenotype extraction from UAS imagery for crop genetics and breeding,Jacob Washburn,"Alisa Coffin, Max Feldman"
-Machine learning approaches to gain structural and functional insights of genes regulating climate adaptability,Carson Andorf,Taner Sen
+Machine learning approaches to gain structural and functional insights of genes regulating environment adaptability,Carson Andorf,Taner Sen
 Inferring Protein Function for Enhanced Breeding using Machine Learning and Protein Structure Prediction,Taner Sen,Carson Andorf
 A MATLAB toolbox for dynamic prediction of meteorological drought across Southern Great Plains,Daniel Moriasi,Ali Mirchi
 Optimization of AI-based microscope image analysis with the Blackbird imaging robot,Lance Cadle-Davidson,Yu Jiang
@@ -12,9 +12,9 @@ Improving the accuracy and scope of machine learning tools for camera trap-based
 An AI approach for discovering novel blast disease resistance sources in rice.,Jeremy Edwards,Yulin Jia
 Predicting interspecies transmission of influenza A virus from swine to humans with machine learning,Tavis Anderson,Amy Vincent
 Modeling the Spread and Adaptation of Stored-Product Insect Pests,Alison Gerken,Rob Morrison
-Using AI to Analyze Climate Effects on Crop Performance,Xianran Li,
+Using AI to Analyze Environmental Effects on Crop Performance,Xianran Li,
 AI/ML and Deep Learning to Enhance Understanding of Dietary Patterns that Promote Human Health,David Baer,Lauren O'Connor
 The evolutionary genomics of Macrophomina phaseolina.,Peter Montgomery Henry,
 Spatial multi-criterion optimization of agricultural ecosystem services at the landscape scale,Sarah Goslee,
 Application of machine learning in livestock genomics,George Liu,
-Determining the pervasiveness of hybridization and introgression in agriculture and the driving mechanisms,Christopher Owen,
\ No newline at end of file
+Determining the pervasiveness of hybridization and introgression in agriculture and the driving mechanisms,Christopher Owen,

From de4d95750a4ceb3611eb67670cd61fb8c155b3aa Mon Sep 17 00:00:00 2001
From: Moe Richert <104998806+MoeRichert-USDA@users.noreply.github.com>
Date: Fri, 31 Jan 2025 11:59:47 -0500
Subject: [PATCH 5/6] update file

---
 .../SCINet-Newsletter-January-2024.pdf        | Bin 646651 -> 691254 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/assets/pdf/newsletters/SCINet-Newsletter-January-2024.pdf b/assets/pdf/newsletters/SCINet-Newsletter-January-2024.pdf
index b6575c0f0a721931b68c36e6e2c728f0c6cc9990..d506d0d6f9effea96f099abb1a2b09df712eb094 100644
GIT binary patch
delta 40939
zcmce;cR<bW|36GfSs@u&A&R84M-oX&%BoaOMOsoS4az!3gouz)%7~CiitJIDB{Is&
z$S5hYGD7#`d7X2-eczw&=l<RI{m1=Buh;du=JR^)=kvNw4W|u`ZymHax@ojpbhGH@
z(Ji9YqgzI6<Y+dOcM<4u^n$0)Y-?s_Vi_D1?h_OqrpFWUwrE{f_uuj?sYS;vI}BR3
z-x8JHqP@B$Zz@NRx8=xnb*C+5=`BX&niOh|RBJCZ=5USqTt_a~R46p%2)8V`p*inA
zYI9o`Yi2anpDy*~a-?D(V^6-Xm$5+T?PcuA@$xqIkqEpvz7j8Qo=}wg=%(f&4LMK5
z{Rg;_o?$+t0icQ1B%3Ky?2Ifz{XGNi9Zg30gn9V{d3y$hQ!ByF$Dm0jRzY6D-u^*;
zCS$y@C;#v$V;d8Pi0R=`AwDLKcyLS{gPnr>(a8s62n&-~y$MZYZr;`>NW+`(LbzyJ
zpxJYSc1t-=BH@{vhlPjwc+P6u%4SuKb3pK;t2(uQzgEB5H)y$VKuoZn#?Jf2mrqAj
zOtF>i9N5`wrv8l;nXmHW8UlWdeUvg(zyI~kvm$n_v#RJ4QTfsQrqnC@-qqt<U+_(i
zMm@_KG3s-wW9qA`^*35BiRvhs+#tv~VSUs6=0o$J5#IdP^2Wf<QnwQm3)F6|aNiy`
z_?>Kshh^_OQ|pA>ryJvquKG4?d6u`#i8m$x)sDHzqbI)1ANXL(xVPfa?Q5T2E6pmO
zf4t^-Gq1WepG4EeyK|f0Y+gP;ufx0A*)JXpiHY5^G|)Y8`b_zp2gAGToGg!gG}U%~
z?&kU>mvWLV&fV<vX|}PJd~koa*veB+Pez@MyLnl>|HZg&wM&L>53^ji`$+A2hY54q
zho}B>-h8p*bIi6&lkcrG|5{XNkgQq!<J^I7Z+vEEed^I`=#DuW)^XO8=gg@6TDIu1
zY2d7oTOV%d9y6~kt$dS{5wYE{zP|R&y$7$P<Ic?g`updawL=cq&04ply!)9Q{p7)g
zv0WE_J@x+8%y82k4jn4*KRIGNV`ZcHsrDyaf_6;bx-a!ZP0h!R>D!7r2fseQX2|Q8
zb>Wk*uJI7AeLH$U*q5`uFXWAtbEjsD%VoLdR)!~nt%sU#n{5@J`+G%c)33|3y@s9j
z_S<1{zh#2{_k~v0@uS-FHZCiFH7z2Udp<|wl|1I|kdGnBhOPtWWNwg**C|Ze;8X44
zBz)w1B~8p9?c`SNQutDCJE!th+}pbL-2$gJ>X%#BUlnwHIMr7ede11~((2@aKb?*)
zxHjb6l}J0SYfnd=aEtCUAZDn?h1anq-;8X976;Cq^DI2>a{m48$YCwDpETZBl+?|B
zm8(IuLE1!l*Joi{-)lD69h?~E5jrRJ;4$C#WnIOtGpp@~UM$bz>h&FcdSlD_v4{D`
zriE9zJ$cijVT|v=%#kZsyZa`r4hZ{Z_tPxW|Jld&b!$DomL45kS^lDn-Ml2to!Z~V
zZkG3+`sPGYuyEGp?sg8(T8n;fJmYiJ_sf(llk87#qBp-dTf9-eV6WG<BiUvL3(a;N
zsLA_&<>!?vAEu@B9PuOeL%1lWVB?mf#f2@?_-D-hZ_A9w-%mI^C?orIP3m;p&5nYT
zCSCQ1G&!896BDR@am~|D-S&ycIq!{2+7o1ZX|qqt(WnE#WjA`Jy%?MJ-qH2V!|3`k
zI{USruPUnlY#4sx)w#(VOMT^CFYD~M^f>aY$EPsul8C<9iSC8-?A@bgq$Y}T?Y|rD
zSvYaAWUA3<zwA5P{QCy`44N3|o@Lc5wYSZ2N1Z{vGfRwPPA|E6xzH?VP<Y>)E)H);
zH9GhmTxdUgWUrOZ6;*+ADr}sLm&8S-zqsz$KjDLJ>->(oP0y^kCp}p0`(g1`H~G70
zQTHxyTaK9Sl;L!szTL`YW9IMWC*KGfT${7I-LuU(*TN4uS+!07)TvoOo{{6k{T~aO
z_Z!)1{~$-ZQT;Z)^qk5um)u$9(Jn2!TimrnYcA?^YTYW!+bO;*aF>zgqE0OjWshs^
zQu6v;w>GWQeH*5Ta|YkM>>T~{X5F3qEmbM5%j7qk{d`yPHh&}M;$5}o3$+Yic4%L6
zB1p4j_mx@p?tTVqyEZvF>8JmKaTj_%oqu4kS7K4anV*-vC%ww(S+H8YL-{~`z2-?5
ze>{+Km)M!+=C}7=?xnM~cB9^ivPGZ!7WMVt_(@WjJ;tK@>Mqq=BNm$+U*WA2?ItPj
zxTbN%UXM!u6#2Dk&0*hi;@#`LD%8|9CJScHJr%fyGvm{e&jrObr8z_P9zN)Cxz_iy
z-N1%xuKR~3ytHcNTX8mJYo+~}-;;jYt%=OKB|LrVol9K{i`Qz?jB9xQJ*FQ|(P*47
ziyPg!rNhIct-4QW+Vxp(z)|a^6C{uGjXl*8=PW<p^I8{yZjb2S@}O4Bo=<ujt8db_
zE@NnfdWRW9Eh9Duh5ARG2~G)eFt&-iY@C_W!`NZy;wBeov|jyGs^`$*R!@yBeaiCN
zx9~h@<1{71$0ua_fi^ET`w7}L(M>kqxMH+cVR&Z1&bmFx7J6f<+J1Wf{KNAZ*G`W1
zb2u>T>*Bk;lIu^*ihb^HKeGFM`TkFBu7yV)7@M|vtl;YBsN~c!rwU(0chD+-z3TAo
z7ZF8SC)X9;xafLPt;)x$C}LQfV{axOSk0R%7_f2UqE`kXJ)(wwU7kMh{pVymNyEqq
zSM<mBnJuU{FSXju*F4t0^*6QCDM#iUS(hzef2B`E@uiFwF*Q4kBVXQf?AyA-!&=8D
z^0x&?-WgA9)YiOJxwa(tXY!bgnYTtbb?=|_x^=?VOHLn5@0=H<n?Cv2)OW$kS<fxP
zd*2>g*Ccmj&B53&S=)~%-D+=ox|wNJLWa)hx+i)s9m<#ZE;)Al(aT-sBlOk>XniWa
zd%bRIXpzq6!BciGZvDty&+^gUfqU8*Tkvm*j^5KxkY6i&rg!%?&%|NOrcxsv%k4KO
z79M}yVXn=%HhoP^J`FM{HI487W8Q!_^4jzFhAkX;U{Y1jHUlP18WorOJjZ{t|0VP5
zrU_3SPreHI*rBAVzT^JW86)C?gum)n_?X^*sHH23J+@>@zxs72*DiHDv@EX2?fiXL
zhB>!c*Vy9VzU#8&yYgj88h-rnuO1_pJuVFOeCNMO|L)x(;}>m+mTe7~v3N?Ey?v+C
zW*)~!Y-oS<LDTq#m}xg1YV|^bB7diD7<1M)=|b>4F5jWaeV2$E;oEzDPM*}wWn%gb
ztC<HvEKg>Zp1Sbrd8B4bGktDVWc#5pJJ)Of(3_kzq0BnKlK)75hql!>`LZP~EFIG`
z?9UmOo_O5uvFDt#JC_Y|3D`6}r2igc=ebe0KVMmwpR`mq<jcL5hkNiYudpp@*KGBu
zPRE9}$$60eX7a7@#KiY6t;Y;b3S55tORL5Xc2>8#l)KL~yR<yhZOLKXnxMY#6K8hm
zrluVh(`JvEZ9<cpE>{l5t(!4n`}#*)^W@D|FAL~aptHVRuaIl}W8B=yP9HW;ZZY?l
zr`6%H$y>TUHr|uW8ClS)wd?Sa##Lu4`NiJlt$hPtR4))b*{!~-(aopZ5HH*0BRh`%
zZ0LD?<<zEIx^OSPvb_2E)9|><U4FS)obIviO20TyPwg&Y)2(9aB0GI-qHnPCT93j2
zgM%%;wv)Gvj}YxyY-Aq0O3luH7{BeZ+rMv>JKvabL2Hyat6!(04+X31b{%P=J!IA9
zW$#8=TqwWLvdhS6QRN95XT0m@?^|}ZM~CO_ZUz51Wi@Z+*KnumuBJHyAI0AOz+1D}
zcSKOxt9Z%FAup#K+S{bvipg_zOr4hx4mkBIkhkp2veiAk=funJMV;DaKPTD7WvaGa
zjyA`=A}y=7LG$3l{yR0#-7E|q6?ZqV{`>3DITzEizu)kyzj(y*ZTqtI*Ag<G`8f0)
z6r#V|v+FReo)c?VH3<%}>}3_hSyemg@s-PqyN}p>XnXQxr(OY*j=KE5`LX-ylGw(h
z9-@P7^GCE_q;`JUx?v}FMck3^ks5SrWk2v`Vys(hnO@oGDHgx#lM^~MPH4q_SrJ=u
z(>C$@oI%pOPd!&%*JzUEx9XG3v|Vygr=PWM9W*;GIDKyCm)A{OT<pA0r)|^Lt3nqw
z-4PMItoqLNoWnA!ea+HOIGNV@>qR8j2lw94_xCR^n}s=9FR%CNlRZ$c|7P`a-ZJ^C
zbBi1NzD1@?O`R(#&{n(D@9ViF_gnMz^qy6Ae)IXfZ;EW)m(4fl9=&?BzNSUe<KpY{
zA|`izl_(8;&s#UQYT&cMaotVEi`<Pfjy^s*>SNQw;{oRn4H8soJ#<f7vDs={=P6D?
zAAisGZZq2@v>F{UZpeerT9qp@TFt!PyCh_h@ThO7=^6Qf{tau+|M;-yk$U&pn`8Vv
z^^$E<v~R`?)X<!NWa{XMmyMg2MkjbTTR5T9_{Y1y+QmL`_^~pm=kmTr9jpfLo3Gh=
z+>vUFi#9dWCWfs_nb9IR%rw78V3o0Pk?ZeIMi-iNsc#|MVv*EByQjjBCl6f46A8&Z
zcZW}|bji0^^wQ`r=ZQssd*f~;H)ck2+PAEmpE5n}bWH!55xK4VcFJ8EvuMJjmbbif
zmgripY5DXVx1Vgri04;|u71-pc`G}V(Cl}RLCMZ#9{&EbQ#u>9H|?>>cedIj&0M21
zm+tFc{uPp4-0sShuiAxS&w8Je3_YFqe9X9>y}HS>JIW8;Zr0=6_179_T-SWR*x}eR
zjn!)U^}j7m4n@tfZr<zixMQCqUX^a#@%`;Lx3(iY_PE2FzCn^SdFQMziwCd!IZ!Y2
z=fJKrzi0M(@8xcCPS*Wl?*;Qa^`DqE(0*Al_f7n!c-z|vj`7!b4(?lS!+o=D)A~V^
zI){(3=`zXo)P`cuFAJ~qt2J0q8ZzEyaOsbbyyel3$IUifZb;sCZSjtWz3PEWy*05q
z43`L`2!YBd@4p37mSaXaM1_U>%o-Eq8;p=h#6lv}ItE*h8D;Mo@+Xoq8Re|U<#0GG
zRHFDR)ITIVI22>VY>X<*!dMEX9OVeNc>e@fCeAXBOf2N+aol-&0zIBsq9>H`g+h0c
zo>)&P6zNH15{Xn#gxR=Kt~-~j$K~nq`FuStU&cp+P@))wDt9jWNZ1rysU8m#VK`5!
z$48ioY581?(-X=ufG?0y8<)csy7NVPd@-A!k3Ld8F%NKXWVE0NtBEm^su*A#4(rIk
z!dz5O?bKJ*@6R~2QCTVwxC;TlVx)*GlVetQ5gHY6i-a<P2-^TSv;`4nQ+$azG9icK
zE(QoZ)-2}B0ED|(peGh8Du5!f9*=;KP+wM*U=j&e51V9A0++ODY9!2J6*+wXa(5|L
zPpW8=3eXGS07!ZRrS4LRo>Yl-4(OxYjB3L)oXZjFak(5eCzs1*z;ZzwE>{5^mkR_F
z9k4E!#{s<*edSy}S0=#DxO{Y`<%kk|B04${DS#g?Xu&07;F~J|%>_!L3-~gjK<dsF
z2xSc8Tu@y=eSkFlafQGd<`arVdIBjh#pUZsc-SS{c)%QA%#rKyApl|^8hqu>MOJ}J
z)F8$Zfu#srggly%Cc<09#cn|ru2{KS5QHn{GxBo90s;iACz65GGzMk#l@Kn$rJw~@
z0`>t0xe@|iE@hAr6^K8$_+x{>%Ur2)5J<z7g6inQm0}P8AvDq?#3Wo$hsROy7mve7
zS=r73J8*zC>I>5FKn@}q53)k6!{dU;a-f4C<M9+iK$8+63?N{E-oyzskQV;arUaA+
zlJGztCU_tb59DF<fkZrDKth}Z^3YfUL<PKR9yyy>!Gmlu>L3&<=*v2(7NrRYI4~4@
zD*zyX+<71$PbnxoND6I&EkszuIAUYf2L8Miz{ptxK}-$wRzXHQKxn2nA2Rl5pb8U8
z>`*&lNhnmR2arR^CKu}o1i%>d5ML^UgwyU7WF($Lrc2<?2mdo!;d6l_hykB^Lv7KF
ze6Ca`1^0*{H$n*@<0zz&&jai7FeASCJdsSy0hB!GE+{!ZxRJj3&<|p0JM?kqgZ=rK
zM@kGuoCpqNW5I!PE{6y9;s7uySM1K0psNJ>3)07zK#xF8iijeR9wCW0Q3`Ehz7U%e
zuxYpwEGGo1B|?D1z;qXY9|hn=suyqsGPWGbDvB~>(p+-FCJL&Cf4@~c^B->|6_iwQ
z7hvxK;x%Ai0QJFG0P`yO*<AqM6bKX>5D1{3uqkR&@E_wXh&sI$eDTj4o&Gnr_%}QJ
z`<uj{>QwBc1ccUb7l1fq#;}&0@fSg@8u0J;-xClZ1f&R@BESR!FgQt=0IFLcWi|tE
zF*8?U=q(8uF}%f4b`l|Y7-R+@?m}p5A=HFOBqvd)0SdcC%uG--#)pJaJ#2_#Cq#Du
zs@jzZY>NKwLi86B-AN*$MkL@3F_>L72MGfSf(qqAXlNlBEs#eb7hnPyT~hVbLCBX7
z?NCQ5TtP1((F;7x1~4f?8R9MgAG66I3#8h`(5{4LR!4JTA*v(5B#<~EbP~xDzTJh;
z^g?KQIEoN9sCt?lVgMD)0iR32t4!o*FNz^d4%i+sjR>Ze%2Fl2GlBmjs<1jFt^h%W
zJBByqJPd!pvxw%FD_sFG_R1!N{7XSKF;Nx*MUxN!3@RGQkOXr>l1XZWR$?qc2oXx$
zMSz~EByuyjJehzgXFvlfW$K3^MmY}$_78&?W|?6G5`;84bb<sTOm)yK3<9bn6+q$-
zOuCD}ceDkzIA0`Vz$jG&QGpOkZz=dp0_spd1`MqMK4kpMmBafHa%Ef&Sx_klA9!P1
zgbmDz&5^GH{}0;}!Q!G`%q8<hL}L`?!!r?*1_Zo3P@J@zkm{iA=vxRAC;+tu)StW<
z4!DH+VI`qh4mv|k3gOZU!K17r=qRL3VxS0mPb7dNhJj)XBta8%crqSXRsd2-V2v=D
zyBM1k!`{*uQomxhDEe~23w$B`Hpmt1EzKt;3x=_@0kND5B}?wi-@AYU7LZk;9iaU8
z4hVV$<N#a+^nU`Z*g58<4bjFRKkyZ?ICc&iLW;!jW%yk9A0Q~aE!q$H4%iD2BL-Wd
z8wQKvate8*7kM%mBr3a;IuVmeWEw#v;{oL;qaM@3z_9)hJTVxU^^u5VXeGNs`=?P-
zp-jYw`znXl62oFDDy85$G?JT!eG&&U9|DF%LI}n{36vG1Jiw3u$r9o?_>vOfO9BUn
zxC-1Rqp}o=i_Z*~khT5&jm0545<NLgySoGil~g5L0E$N<Ahwf``yx>6Kmrs>fDP1&
zcw{`>CGglK@XXj45>{{q;YR}Znd(Gvc$FB17{D<iZ;U5(mttd5vX1a~r5wIorfh&L
zF^JFs8UQRrJC|~#s&+W&7)UN0up?!E<XNE)JO?5GZ3HG9-`EIihsB4d&H6xgrI1Bd
z51E!?!-{%2+zt{9pi{~teFh+aPAO0NPdzk^6wtDIJ~XAOKZIY(R5$uVeM_Oj`0S1T
z0E|c>1^%RjI|2Z#Cnfbw^MU!KL{2$1z;lw4XG9HPJ}Hzhyd#)Im@Fwcldvy^YL-G(
zDH|{xEXo={7Aee>5IB&E05&a+sfh_0_5bI$yA-Nh$`}=Mfd7y}An%cnAO{nX@}P;}
z8vRobDBu^7=t;rDQu24eR#Ms@M3fAvl)@))0TELQPLQIV4}wbJ_({nyQ-3M70Z;%Y
zg}76g4EqD{P=ZcV(2&87?ue);q~c(5Vigo%rIk#pVigz#^4-7`ido2)#B>Dce|ck8
zARG@SuqcrKk54+|#ETXL7ZCrVK*$E?QW-3Phl1NtAb22LtdhV77bwPn{9F#y4z(aS
zLnT&ZI|L)JN{X{dnbH#2l$@SmUNUi*2M^LUtdS>{apBdXhJ*mPl7I!6QDu%KqBV*a
zxfJZtTomh3{Ko}1;h}JhP@p+MJ?bJ6Gry1-aj+G=<qF#gC9ACX|M@NdUl&%{PSu+f
zD*^WZ_WcjWRG9ns8~z`2F~AUP0p*+gA2PZBr#C|-Nb|qG0q}op;9u(~{D0cn|7>sv
z(ZOUqhz|(IlZq5Z5{?1$xBwaXJu2UZ-iiqnyC7eVc0=#~0U3Coeba)ZaD*bne=6KU
zXOb8x#h%mvB_$vdd~iP#Fg|h>h%-@55<t#4fTQ3N55zwBMuE~7up!if#F0w7|ChHr
z;y<WFBs}0-ut|kHm6&50QiRBUF};lf%Z$K`kU;TC7xLlckxu9Gp$zdL&xYFI*y2I%
z2Ww+h<fyO$%>vF>w8^3T@JWF?HNwNf19Hv=Qf32zq^gZ|Pyqvf9BnFKfJ1z#fPo8u
zl#L1)2@IyvWT2KNfm=Yv1O<`&?>3qQN>$M&g*^WmM$Ev6UR5?BSMg610Rq*kY=S$b
zYC>8GsUT8@v=~CtzncJu018&FY{Mi1s6w(|C{QB>i~xp9Q6nC3FGzC=pxp2vNZ1$k
zglbc^(JbV0D%!9e0hE)XjZ~TdR93Ws`S1ne$jQ#3Nb`WuWYADx4^pLyM%IJe5~?Rk
zGp`Qz0tIXel>5uzAp-`#5D&-%gC90gWy+8oBd94yz?#J5e<;l#s=@05&{f$6W%*AN
zAp&GoG)YJd6h;%Z*oA;%Og5tg&d5JagiNxK3{*;EQNRkFObdaUc)<Ur00AZ8zkN1r
zgsdbJVh|Ap_8?yw*b<Vl5F!IY)(!<sNrqV2hJ_U|0c)dK;3q2DkevL>IfVX&JN{S2
z|CeufSQ%Of0!%QVK(IkCkkq3<u#uyrXk%5t9&3|>&A5s{mj+UDlfnT-BiIaIaP-+g
zuo=FfQ`tbU8NL+W1PU|@Sd2+AWuowf1z}53pq|hc$~Ni=9#XW4<Or=*@<Ii)VLg%;
zA#%|wzY-rb3Dg9VLMV`$5JHNX$`Zo6{}0cEVi&FuBv-6TWEX<siUDwuRW6Ji)dVC2
zSlLtZr;Up=2Qs4M{lmpUK|tyh$yXva#kkap5EmW-0Ouf2jZd(K2+jmG@i;Or`C(!>
zAtKlpJebB7AxS|Q6nqQee~94mu<qEI2>uR}R}rB=1gbL1ibyq!h^kB?DfGpsQd~s{
ze*Yzd%=0Jzj}S=v;`3-ZqM!(*VmlSVVUcj<iZF!&QZOh5Y^3Ed;{V2p`)}=7fe3>D
zSwUS9Lbg9sF_VWVnb-n<$~Wwfh_tncqBVvh($+vbeNb$r>Q7umrjrtREJ*~74?H4A
z0TQDx8G4neWjPqk!NMc7(RyTMB~T31M+|L;I%LK<$baF9IGgy31<M#mi6zQYvN=I!
z)tg1Fm=B?-!nC6euwovfzZlREWGDd5Vz9oD@GS;)@lg0rC`e_L@DNZ~4X}8Wf1xl<
zb#MgRjk#zC@LM4&9GFr{;*jcQ)hs<n7$zhFYI-ZZ47MfMZ)IwaHL1J{6>e1DsyChg
zFhJRo|8sFwANa+zHI<L^&$_Dh|Mdn!NGXfq^%Ck(5VPYE0#!99(U(?Z`A;e+{3mo!
z5=;d!!AG+YG6k@Xs&>kF5HmncFtq>iwf@43YB8`A&G7f~%5RaJP)IbC5S=8DI_ic3
z&@Ey56x>M!z(bL1LIEjnKD;mq8EcB$iJ~Y-p*e^npi1ZrMna~VLV3lE0y^M;a{+UK
zlsq-lXgP?iXeR?L0hJjcBp@UCTYNyp$1WL5i{TKGM~w%x1cQl;G35mmQ?S&4Vm&dX
z1|S<y${0l4ErBD&=qo|?1Yg(<07U)=XGMfOT7phm=*_1?EfOs}6taZ^f;&JYgb=X=
zr&361s1RX3dn1|3m5{EbYy@L}q$B8yA(;vi1t%!+Bore5!%kb2J&>!Xz2HoVj0~kA
zXkHX>5&^@&Of|)&Vkl$*bS0%G#b^)#2c#qg<l6CoUCKP*fn*i2B61Hh=y<ATU*wCj
zcKCmM3>RRld~&aVH9GCZF&BLR#f%zK(zjBTi%mHPe1R||pp-0ymItQEwUiRgDapVv
zO<4vmr5TtQP?`Z>sy3li#^>>%e?U=q>R2Bwgm>B~9;AZ^SQtI7R7E=}(T*hv*g~KQ
zI$;P~n=-75YD~?l$p}&^Kv4}BM_ElqoaiRN`Y3T(Jqn;T1^m<<1+l7{oCTzl6xCc+
zH53Al{h$h2Z=M1a)R5aj`c6@;00rlQzyj$JMKv9;0zw`~4rKB;*uJ73nRZ1z8w|`T
zs*#~pRKsuOafk~Q?J7{nyC6-esHTHcHaQT9Y85E(LlxC9Qn2F+P~<47V1et&gB4fK
z0#8!WozxhIyhygDR0Rsy9MvjNaOk1v4UZXzok~!kITh7V=2Wc&1y)>H4gVYUr2lDh
z<PyMe=!!~glOEs=#)TZj6-;EI0bzcKjhGpNz_KF-Xq7)Yj%WhvlIA3Nq69kSn8k!Q
zL`-BBNqdM01#(of0(2mc2MNN1GT_i*JlsnV!8VeEL?_=um`wo*3z=oC#}f5eheQNx
zV>nba9!MC`X5dmN&VeAJOmRSI!MZ8THo+>wwxu}#XTcsF^bpXbDny97B>-3iVaAaN
z+%JGbx}Nl`7|_sJf@-%CxM!qxRc~bSDKUzq9qohsHWF&+Q}VI?EU!e75c~(YVT_R)
zr5<=8Ys4VN`h>8*LU!_Q*a^H66jcg9jO~(tEkOWEr>vkSu#C=>$)*XI%~DYWdys-6
zB0vQ+!~aJIQsFpn`12-xp-MC;j4Rp+8fXNC0R+lv57-uKr#Wc9lp0jhk8rLSD{==Z
zMSm`?P=hl20Q^HCva=24o|s7m9aT8^^ZvI1B^(hWkX59u{rgRJm7oF*X%3YiM|uqw
zN0C-V<Rcf6_YW?U0$);0$eaxcR#OldYzsRH++Yu|DLeu62*@NrCPcY8)h7Srt-`tj
zQU7=r|KpqZUsdscn($A%(j`%`plba8=}lCHu((4qDB7Seu^bP97@h;+i}3ibHxY{j
z?7zG*7sCp)4$&W9Qg%It(O5a`KfwB%lx+WhSNy{@e-KI&5Lf-T_rGEOuir|%sa!gG
zv-3|?#eYEhUv}{C1^(NS^}qYkIx5Ymd_(?#b%tGFfdQcUCQ1n@yr6R$I$%Wsu@gm>
zG%*U)Mw$kS3<Xrt86X`sqkt-sB{AGn6xf4g8ncj2#m|Qz&A>JNkcbAtm`dodgkneh
ztOr&ex521H52lu(QYiw&gF;GHO%F1i2nSGL55=tbqDi5P$gM?zCM5@x>@`Z%6{-Vn
z1?)c^dE!bP={D+%OJTGjI^IBjoSk#vf(zRQ%iGXc%E^({AZ3gK!9g-jCXr62k%56Q
z!}CRfy2FQL_!B{W;R}kK;Rvb$@ej-^L%)c$Fexx%cN7R@vbrPyq%85kGz>&yd3KV?
zW{0)Fr5oiEVnVzah-V}c6XFrpDM&<zp!fnYX-?8gkUt=uAzln+#iOWAfp`krcw(TM
z9qQ9{6MR8c(1ytv;z6e?fE1ws9xwrH!(!Ss9c{7=(?J4Gk5$kh?}RTTF^G<I#EJD`
zP!-@1hQ(w9h?~U3VC+^HrAEbYUBH^|JTbX0WcL*_5E)1bF^q{}eV}2e18Njt1M!qh
z#257hz7^vXff-;F!2a;Wz%m{X4Yn5B6La4Q1UQd)z+5qakO#;4Ba}M45Rnk@AVJ2X
zqf$06J1=Dir9>AxDW!8h;y{W52z7{{-FcKu!9x*^;CE|WcJqtsfdL8Rf}{`yF>Z1w
zlnyTM!S|=61fYNrqc2?-BSFPM6+S=|au~1=is10T`fL(DvI!t88wX^N$4*`a^3NCs
z3i9L#+faqAN+3yiC=4hH$Xb$9BOww>AR>w_f|mHg3?%LnA+8AE1{@0X1>mT!2pJ?4
ziK=ubhO!0}ky9cEAfq$M3)w)*lVSg2v5b<G<lGR@0{qd|C~>T~G=Z_0OEH!~irGYT
zLMuUznw@kCX*)zX7IzVM(=jl1PSvy;;9wpm+$)xUU=bX)AeIBgq`GKDmG)x^3Q$c%
z-Y3|S+GsRkk`nXG?*T?cA|PK1g5g0o2Cxtge`UxyQ#Ck)f-v$HQNSfjz(64zT`}at
z(G@_o@rB4gksCo~of?JU4Z1)ffRs|oLjdro9+@-DNpeT=7F{w!0ZufO4Q0}J6oBD@
z!K8keBobm29my@FLtwhsh5|fwbYfu_Ukd$Cu@&(KDskX}xroMe^sAVQXv|~`AsRsj
zq_81C1|LF0hY1uqQXfjy^I6gqKv0>crM5qPkkeQ8VNoQX1OJ~g{amOK_(&Lr59G`M
z1=J*u6bzw{6rSQpmv%=Kr9)jh9zcO8inSnOsyEAMVFRRxh=^oy#J~bMVU#9EsOrwA
zYerZf2&Xq4-J+G4oREMDd~k?}!~`6qGQ|J_87Ku4qlO6}I^qH#6AdyiO16jKU>p=H
zr8`Mm5@)IWQv~%Gg>53Qf%9k5B`7J}ITZ&IC?w}-ATXfxi3d?Y6eMBQG#o5Ql|n#*
zLopOU3A#Z=v!I~7*aAJp=Rnuuq1Y;ghioWJDajuVC7z@!K-3L(4G(f#feQ}g6c3^&
zs|NFNl;=!*4wNk(;5^nw#O9EL&c=a!_yVOAZ8QsMO+_2cLc|jYaQ~NLOFR^^g#t}O
z1ZM+5ReY&{0nzcL0tQYWzCc=<6t<ckN?>5<|K!zCi%IB$H09M%K)y$ra>xA}=n+(b
zCs-Tt1cjq?4ut}ZgIE)zp@7A?5Om5<qd?=pAEeg!xKaHdDd>Nvr2qAeo2GDU=>91%
z#^y)339}E&&Zjn7j5tTpgiCpfCYVP>#+vy3|H07-rh=n`2knVKhH&EnP9e;4g>qVl
zGBAop)&rYmjl?ua=0opMCvXoQO1h9i!WRYBtc^XCbU`wk+JG9?29u3TwJN%h?WWt>
z?5qgawLyO_*#nX?+}fsx;@l6)iUxwa6!<3YLXJ_1Z{jYb0hwVy0au_Pa*!}=mqI`!
z+LTSiTP&+Zf{pZ-BGre^OsUiPGiACdyN+}%MuVMjRsfwtGK8#;BIic}D1z8hZUPVG
zy2!1tb&3CIIvT@ZKq7<m9#lK26uR$C8iI+i1b2LS#7R8z!|476O0*`%DtaRz#g`)3
zM*;V=$O2QdatZ22xkaVIhQ`H?Nr`g_LSh_tDI8V<1qoC3l$yb<W#9slqeAsVyZ}5`
zPW7b0p=cN%P}+hn{GkTZBA|k{CsdG%<q<0}oi4<d$X<YSl)IymNY*GCi2y(_9iC%v
zm<UXR2YSN7qX2yg=0Mt!nh^gX$4f^^c;Q|jTn-dy0I4CiGUcaeEy@p~f*d}Tf59{z
zQ60_<I)K>ZcA`M|r%V*1BGD8o4oD+DCr*RJE7~A`=t|~T(MY$zp?4^~L&w9k4y~cO
zp36|LB!eO)r0~{=yy)wWH#YKz*tnXYxCl*#83<rtWB8vp2mDXohBCK-@k9%ScE(Ep
z?*{gtwuMo&xQb0wfU!DknHdf;8f1ZJ1u`BC&2*)JYM{~R7BBo1O1{7kMFlX7`*-9w
zLi`oi_UR~xCc_&&NX$qVPzPjBRRO;$-lSlI3><h9N*S38C`WQc01&Q(xPvo*YXLMY
zlRyEqET7yV1`b`Y#Fv~o=2W6zy<kmpqi_z#Ocibf$k<NEiASYU?gV6V0UEobOes|o
z2=W_9SCLAlZ#rtg8<*)ZCuwtb`<!an^>a#=Vyi6wN5`=g{?I9vnB;(z9u?@~J~<_-
zeG~S{jpIRoGR!kI1N%vr0`S1{Yyq4@&`|28AQ-w6VJMCuT>;5pC+CnboIgQy06a1}
ztdl^+a=-({twLf$r5{6O#j!fYaDb7*6q=0HD=ZVa88nAtELfQqltP{bWG?B{UP#&>
z>&vKGjuQK%8G&R<Md30G{7dpsaG?tXz+fSnLLpQZO^X6ONG`~F0*}y=ARR8B(-$G1
zri2F#P6oNLZ4^LmI-n<bP+$+BM9vl^<3nff6tSa#D>%Rkasrr>yZ}09SHOd)L<D(J
zA`8u=k!U&EG76v>9ktVsR8T-?ocrP&3Dlv><_h3R9kEk0;!fm$XbcGnkca|-$?OwB
zf}a!NI14k7o)f}QC^ihEgf9x|Xb3sCLijd{2}t`<iiD2AP#^<B*<9Ki5mUhl#4oHY
zr2Eh4$@Ys5%>5-+!M2&=!A98Ke&PUTP(VLsIf!25GSj4>GHqJ50DUXDN>QiaAT~E~
z3fd_rz<`ib>_fz(Bnuu8M<P6uEV#K&iCH>ngNsGn35g|2DBz%t{Jk0CeZmO!1H&*>
zljWk`(0#xI4JW20z9I6mEm8bKFo8#iv)TN#7VQCeA(5t_pVCN_DWR+b3&j979Z0ee
zP0GW1q|B%XDPI(Td=dJPSfc=%uv_8Ggb;@_aVH5^oWF`mZIkzbeG;Jf$qu1|@*m1-
z(3tWcB+@7#gknKIbRAC1ph#&rSr;}3ymV*{s-~5oKNw$%;gBm82>l|6ElBY%n~^le
z|Co`?C1pe4o>PHhHYgMF)sYNA4GbZvI20g!WHjkcI39q35I`CWMwrk~yTXMbG1g%T
zIX>JR`fUmnKcq^|W<%B#CLEptosqztBi_ePk)SK^pbEVHx%Q0@EUdctjRH`n@~2r^
z0~rnIV;V(bNEr?0!XcwUUmzgq0tx9536J7G+9G=VH4FJbbSYdh3w$8*5C6KwjdVMv
zkzm`D>c9i~iWCKu-=Etn_@LE^Xo{vk_jhR&EeWde<g5*<2cPh{i0X9b91r-D#JZFS
z`Dc6JUj(zjJ=-2>47#DI*d7rQ84>07Kz4jl0+J1(^+@O$xL|60k^1D4|49mouCp_*
z8$Xmmj0Y(rYX_3R{vmBjR+bJEFa|t{%Vlt$=o}jl38N3C(Es3s^b<R{W}Cwy>3<Iz
zNdJ(f`7@SO8l|fgNK^bwK#6L|6Pmy@Y+CTlpHXzFo=>;xSre|+%dl1QHNdpA0d{aj
zmKl7<Toj-Qzd%JNcK!y1N9k4)3Nf}$DM~uvBV?)^8bocVz;Hxo@UoS9gj50LIH4}w
zaXdmm5GxS#<M0})7aD*J1AwM%wc-*D$`Dhslb9U$Pcec{+?dyf70KPgSved?W!?<%
z(~Oi~#E)N@pF_|C$qG54oAL0Dl&J!21Y!<3l@gWdEStqPQo7BB-`Ai90x2c$fDD9G
zP7+Hu-xZj{?H{<o>;q8<dXsUX%kPv{K><>T+W{!h4oPkp+W=zxeuXqIYA9!d2kZrC
ziYu59Fr08hlfo~+3AYSaZ}9U#$Tl7V+`m-R<9E-BdLRHN-z=s^fz7}IbyU-DX_SJF
z4@w1*Zvja_0kXpZZs?{V3N#F`Q1FUtpFoH*uEhtnljFrY@&y0fe?&E{4X=S>LlkHd
z1Tlms{FISaAp)~afn@k1jL^DtPOIc!e9&0<dxTFE{<+PDqhOkY{8QEh*1;G2Pj;qD
zm*nxOxKf7#%>sok05~WRD3CT9k7z^{Auy~nvqk3~^fM*+x-=`x``|@W5&?k<6p(fR
z$b_%I-pIeP3et7TMod8?Xm1n=QJ4$4fLv0hoi102p;1XjSQ)xl2==DiS5VTdjX4EC
zA7!73{fWED4zM3d(Kzq~CFN-zx#HJSsGzWbk||&xva)omL{SG_1i=(R1n6u-NE4Cn
zB5Mp#sZ6mNnKlagS?~<&#RIX(Ya}@%vrpa=B~F>OhhIQ9QBjZIUy{4SVsKD~P9w;p
z2XPb~F_5^0xh>@CDEiPh-O{CRKFGutA@+k_gouKQluMvi6ey35X$S^V(Lk%>8}Q)%
z4IF*Kgfa}_(Rc_K9*}mD8v!og;P3%5LqQB4bfONyL5Yu>k03nzR9vctY@(iq1C!Vz
zAp;NiFjxQuFbDgEI58V?2{JBze}<pVLWAJ}AqU^0z#a&i=&mC^!94Wyak_ns!vDBE
z%XBy0al{Q7%mWPIfk7m9NGp&QCR&3u<R~N61l7g?kr>X&rK0=~QH72T=)M{*&0-!B
zFS-Un=l3YU2?k(vvO~uq#QlF?cSdXmyzoFV7By3X0bdGhhJp}4kou&3sNM>INCzYT
zf$N`G66}ZvX>wYd)G&`6Comfdga&eS0U%;OXd&RASb*JRrr%^C8wYmB&Or}g3i?nA
zwj}rM-*2`waH6s+IDf}7e^t=oAf*S$XCt1bLme_<WN4`knK}AV6e?*TI?=%k{WOs-
zNs&{e3KrQf$Dujs2o+H;egREfgS;$iuty{$=$J%t{;CS7>2?MEqXgC5syF)uBJ##?
z$$<-|PZX*O>_v8pF4dtx(~`8n@}Pi#nhr6@z@RgkBRZBOGe^gAxSR^}{MYX<=r%qY
zu?BG==~)V6P=Nn~z5jy`;0D~S><+aDS}2)}ev!@;4skrr>+nNxFayFj)&m9TPQn<P
z=@d$Y2F3X|SW?Io8?hI$r}A65E<?i~Muy(OPH7*idQyA}-<I@}0)0d?3P|bblJ$dD
zfIwsOpa+E%0t#jLxPQky0raL`R3<J3Ly`LhroysxQ-R>78!FUDWrP?^^AO*YH$rEJ
zsCP$lfu^R#$!Z92JsOZuH84TB4R&57AigGF0{4GF251`?73>@PU~ULmXNu^^`arjm
z!Uiv57OJ41+7k#UfDCkUL{OuEGXyfoq{!(_d_;nR!FXdZnNB)vp&F11zdGgP{2R_N
zc7;EJ7XY%*2s<S}Nu=1$8Bu^_wiO~O{bGVCHTu;Az7$?I3IrfPSGEy=Fdod}vfuXN
z2NTLR@;d|~_@8i-sl*=G73nTS^Z%H1`iCs|RflR8MCka!EUY8_8y1ywLEa{sNTU%_
zq4@u5qB+RQkdr~z9q}MP3+tmqpeQspa05>WQouw?Na~%ARPYHenwSIng<TPcGfWYz
zN|iAdBcc$gz$5Gj?D$q`0|}W{(xPBp>PzfN<$r$vMr0x;!la5HGC;jxucQLm<U}-t
zwJd=Km8VGM;VgjcGzBWe12`K3VMsqy3_~^e!2*8z>(2gZs`4K+Q9!5se?#L#<=#G_
z_)n~cs{h0~&}5R2pMO|*Xq2G^`uhyTKV}UH3G|tTf7GhS`Fk2V>{U)<LI3789GDVt
zOz2+~`Gn&XgW{4&CYGKdHa`A-Gr|F+Ncj(8!}W}jN;VlC=;;@R{3rWYMI%QBN6L)p
zngz9y7eS^<z;S1-qdjN&2LdAczp?`rHU5D<pdS!MtI)qP8s|C7=imQ;mg*hwFJZ&I
zW|)i%4xQy0$htZ!AOfvSMve*h4D|Q12=WW`(c_pn;D0PlMx61_e?<D{e<+!_D0c!k
z`)@>S^laC^7gzH4zq?Aj(4=XP<ncY5sI_U*DqhW+{i~;DfcDS7tEEffd=opLAiwY#
zq^Q6fe^21%)H-~vbLZdn(#rGVj~%1+#Zww1`a5ih)KB%;rg5#U!_rY9%N&QC+@NQ&
zPISOIVQ21>vHXPe(*5(={_@I;_O$Jtmc7z2IlZ`jPS1zJ>n;IXJAd7=Fmp)$<Fn&_
zFD!l__Zxohmxjg&4UZM0-j{gI?{97Hd}Ph|xVk~x>+{?ezHfObph<Nbm+SkSJ8${&
z^vS@cN9KKxpJ;Z__lH%)@4mM@_1e3;R?O~Fet6rwmNxfqyx(E`d|Ca#<4$MJ7c~U+
z_X#`rVq9`nJN-e^T&glw`v*Nd>(z#1u=HyOpLf;Q_gl^imN$!u*j!dv?vwIG$M0a&
zj$)D6vAEtbs9gSQ{<CkcdO2P8xQ%(cvyaWevPt&~@5fC2-YqS*-Xc*W%kX*Qfx;^P
zUY1|<OCPT2^6@A?e2=C0eL&>`>89!SslVRn-4Qg^$^2Ck+_UGg{FTpr?#$5}eW{-=
zC-cLpca1-6Z@m3IztLHK#Cpb$sHQ`+w%BHM>HW;|)TPWPSNaGl97grgPReT1Jxi^#
z-OG*6@r8Rnd>_4<+r6Z<OsXX-DLSfsL?fnT)$SYbk90luvB&vztFEV}Yh2!`cF=#1
zRBK~N`sUreNAK>D@cHN)UfI^}MRT)y#=PA3x><2X+dEqmZ}iSFxpBVVs;Ot>arQIz
zww=|EqoytS6!TKHb?rRYomU5o<kPikBI6fMxH_8OQ(H5md|5yz`_|s-0S|n2Utbw~
zuUiX4i(%~?rs@u;dFai56gb-8_{1Ai#Gb?3@r2I}&+VR2yZQU!sMcJYf=p@3=<R7<
zx4%wX70l_E#<eZyE)E`4XYjL|-&Kn%R`TVY)B6X!c{uiU<;qdL*LVfbtt*t@a?e`n
zpJle|XwfbWKey6`lFJ4sMvAJfQvJ_V4H;C>S=!wqFiXp!gKf9>VwZ;gwmX;gb<DXs
zYv#IBeo@!wK4??9rr?GBndL7!U5>97#CYs7sS1eileSWP$?4?8+DU$gg5rKeZSoY>
zKO1sPzVG)Y%Z>Y^JKt(GWqi{9ZN;}DxT9XK+E$S^INs^we%<SW$u}mBJ@)Ehz~;B+
zTi$y;^*eXk_vpzUQa7!!_Z!NxmiHSP-Pvv0%u7zU4Wsk6g&(~mNxYe}a`K&Ee}mfH
zqmPHKIDC6<c+zkCug$j(?mPLumGgj@t;Qamx?l1w$qOI-Q||E7FxA_6n_k0p$89D?
z_YdlX_Po<H%Ibk*EU#Oo_n~p~WseTjmYClSavganvw5GYyT4{>%`-dka#`@+%;Maq
zWivc1tc!Q8omjQhvHr;o!Lm>8S9HFb7f&?w@=NWtX>`AC+Xf1jrSDIScN_gBXV|j_
zbJIM-<b6psVOy(u)ScWXuQFP(y2S2g>vj7(zAaEMF+A6P_?Uxj;%E6-Kd@}KvBm9v
zmDhD$4cbQ8dTerj)iY|xHOGtTvDN7nPD^#u()LHqj6Ich*ni`(jSq7-PaC_<=j7gN
zA5Gq7mkQo?4Tw8-;Z*6oTR);E^l`4VmMk9rEUUNs=COMmdR@?s-#xv+e|F+qc~q;_
z-p8NW>J0VY>teHZchclp-Sh#*<4GUZe9`=H{6s(XYk|5JUR=x1QTuOnJn(ZP$7x}7
z_iBwRa}tHlvXTDrC;T-pEn3?3f@paBS*N9Dt1`WfT<=Z(Y2U)3Q+fNLFS{OInmWin
z?BWoy*N%+c%O!f-N7S9&>Ew1Lb%yxnax=MYTBD8jq%{?TstwLxo>bInYK8jO54Jy7
ztajv<>Mig5O!vu)!&Qe9Wb<51Z%-X{;N$9ccQtm+nH}D2fA=xQ9Sir5D3t}RZoM_8
zv(B2aALrIAjJ<D=eb3l<i|vVKou^CFi~8>`ajPDzV|hEW;KR=Hl`VL#55Aw?y6?Jo
zihs+Kr?uptdUWlZ{aruN$WOoQk|d@57rWrP?GxNA_C9{09l1JrbZY<cf?Y1H4N^?a
z){XxW$}L%-l~go+Q&RW!1)ruZKe<@=t{~SXHrerQ(mGqS8_8j-M$dHJZB@wI813xV
z-pi_d<9DB&7lyh|`L!?Xb#KngG+md~HSjR6@%p`AZN}fXmv3ENS=ZM3dox+rA?x~F
z659&4x*px|VwP3h$^4p;7Y(_7o`S~A$3gd=9Ul-9*VeS~Lvf7t%fzs~SDdd)GJHDS
z?sh23Ozz?2H1oiZ4hK(EzKwixCVyde($JXs!xv7feJssBILPRFq3@0D6Q@ivE9W1(
zAoTos;!H{EialE68l0--JC`*3@%3#(;ii}7XXk&hv$d-#`L%6o!Ig-x@MCY?Qx>I%
zWf%`IO?S9*wO#EatDLr4t=nn_X?q`=VcTlt?mO{L`@4TwzGC&<Hoa3`J{|ga!Lvm*
zJ8#|kZuoXgH%pT?E8mQ_P0N1yxpAYN+;H1(n+<(GJMJ0Kzj|CukigIM^MJ&y@)y$=
zMWpqcDh_J?t)|KOAs1q}!MUHBm3MRBaG<;6{-J9#y4ap6&a<0b*1qHR=U3~R8}#4Z
zM-u&@{p&S`);`Uw_D)>fVPf%;wrUohHJd!cyiM13wN885%<{6d-0Jey9$WbQ(x98;
zZ3Tv2iC*bVuS`gtHF8ArZcX_s`sW`}FRI!r|2?BF@yYtgqSNUE)f`%DkBseM_3qjb
z%Tu3zi5~VpQf}9;dT;RV#$2CQwR|_DUgy^)c=&}Mc=vSPS)=e5$vw(m<j!e)`g1|)
z#b7J9$-Bg{_L<Y$Td%qIAaVbVx!oKK2SmvAfA8;gxpKDTm%(y=c<NfO{iy{*Q`b9q
zebT*pDC@mE_rYzgZCgCUs-Ku`$q#B17xD5mf2ep=UXtun!`AR&udgNTDOj;`j@FV{
z8o>>GZQXjwi>UA}&(taw1&w;w&%3cO^4_JKc=zY?uhiea&(9xmL9|Bua<{+>&7KdR
zHnL8?Q^%zn+AnoaYJO;KpCs>3)<(0kt1S<t=Y&r>u+a6uBXfC8x>iD>xp$AM%lh%U
zhwAr^mwnka>EPkJEhkTLN)n~J+%30%nG$wo&WM=@AHEn``ToiLcPF1pzb5Xse%Pr=
z-lR{1A~%#yv(LXjSWBBfyp3<&wFy-|#uww<vSwb+PBU8?S`&P-@6oix9oi!n*Vkm9
z-Qeb$XZ`Y~=7yCU2i+Ypb(h@OJ$E`cdgc5c^_>><@cKE;xiZOW+?}9ngU;wJ@K&Fm
zRJbPG@>{;=<7cO>mJL?(I+QZ@(HYy$2`vk%O8K3)Slzg@I*q$3@!smRhr<pw-5}QR
zIMUsCe9n)%*MBe6-eNtty0Le)k8Jotk0f*Pj>!f^fzso5!sbh4!`<#B3=DW0DSx;t
z#Amfb54+Yo&$tLj4={Eq)-W?`_GMB@ZBs{{rjvoObpGui{*#bzjWv#ghh6cg`I0Vs
zU>`8*X<_dN`R`|s=k$EW>2df@*r&8N<*Ci~KhPeRFm-VxZ%ey_FFKDI={x$_z|AS`
zUYMl1s7D9(Xxl`7e1Fk9uH*G^b@P?Qhl|I^4a3u<2M%oXEiKX+doVU}P{8W}Uz>hi
z5*5%_)^uFf=c>cg?SC6K%Q|IeeacjLckAm(OC)_cYj<@r?6>0bd*6)gd84yCM;K@9
z-QsDyyhGpU%A+qv%zhbZks46hO5J_v@EuR0hg(%Ybo<fN`s9b24|cnB!r$0`3-IO)
zjG5G_Z)#t;W!k{#*G(%u>#q;^88F3Xih(xAeCnR)Yi2s#`hV~1SLi)|w_(!N#Q{F&
zs&a&*FFn-ctuvM#JM^fqwAZbx`=drZE9hhAFK>0BXm8v1>$%f=a4(-|-m-&5Nwf84
zYLEJD%2-#@+^H4k^<eETZ)QGUxhwE!yl>&=gVR<Wy_ep`%sN}{-t6Ln`n-*qlh<z_
zpSi9>*B!^E&F(SW#sA`}a%n*;?TVjo=S_K5^ybsz5svd>blwj+wz{Wrx@)F?ZvF{V
zqrGQ!)OYzFm~iOg{t@G%d1(jooR{r?>EM6bN~gBXMVoE`5n0m@MmN#UbZL5u=XNOO
z$O=clhB-dRgD(WyY)yER@l!6}-u6sxRg1s}`HxL{3`iU{eEaSCJ+H08dewD3UjL%N
zXZYfTk=;aUkslpiYx=}E^m^BP3ulYt;Lr&Jjybe=x2E{Xrn5I39u{<Td8XB_+~R)5
zkyD#2jM{EgU(z^rZPk!|W;XYqr7hT#SHkn#m+61@+?KO$J_a9J&fRpi&uP00Q(Ugg
zR~$OHI>I>B**^4yuXgDC=GqIQBg~haAKYW8LB_oW?cAb2`3}ll@~o4_-OsywTA1y(
zKO=n=cB^fwTgtUlyWV%}I8$wT#}>_=hi2UCCQO=`J;Aa{s&Rbxlp&D^w><l?=hcy*
zqWf>REveAT+#c2IN5{vaOQDv-PH&Qx9yu{(<=mk^<W;HKXZls%={(WSp;?<HvGHR#
zE1suz?wy?1#Vj}6ICqWs^w`KO+40OC&xXXdi%YYc@x0B}kPe;4YV^>5*jE&#{eEq0
z*PeYR`jsZld>kD;b@7x}YhF9J?hi=M7?&P+FsxNb`{;o$d7SmLT(m7Lt8S+3k8n2`
ze4<~be$B}Pk1qF;iw2z@<-*s|7SCVoQer%W)5g}#EIHY)QZ2BP`c0i}OY3wO4{9;r
zvh$6Eb!|^KcADcfsJrjnW@FMqn>2aSy2B|^_UVouIo138ObpxKA2Rvn%GT!!EFQo7
zrf!`ZIX8a(mHXCi#l|f^oJy8$5=2Fob*_w5lWPW44gK6+v-)FkRiV6u|FOR6&6ZUC
zra3>=5}%}mxStrJ)^>T{hLI6w3q4O<bsiOAzPzK&xCHZv72Cb)8ojU1zI7^f-`Zl`
ztO2F^qAR8aE`x{k3hFUw^mK=;7PI@zaXQnnuzqXB*P)AEH%5KREVx`h{mq@WJJyXq
z-qcgj=SyMQ{Mz^8VL^>Y-lWzK7swYqe)m0bM=!(8$Jd%#Jlpu?%l%W$16#)KJ+JE*
zKT|WO`IqARBOZ5qzdbai#x9EYqyJ5vU-r*i=Dm+LDKPnbYFE=$rmx<WE*UZPM4xX{
zuH0yMxZhpl{(E|leQ(?U+Ly!OQ-8#~T;FTUIeqhr)XVw!SL~&sV-C3dc(h_LfBK^t
z>wV1S12uPR7*Cb8p5@pn_U?U~F%}k0D#QcFw34b>y?Zk6$eqe&tNQF+n(XoZgLhr+
ziV0Wk(*ycw&w6rheSTT|#;})L-5zEc3>Y}lwz02ThwGnP_wCr>@`t?|Cac{xjLJK7
z>9$|dK>aqoZDq+zFMKoBFzk2S)qBae*yonHvTgYn&fmWve<O>1+`@7u-^MX6y(FdT
z*M6gRUDmc8Q?a3B`kQs44<~YFjX$5Vx_<YQ_F6NV4g0Wf_Peu^wJoP5#z-PB<ZlkX
zyGJel*~Oso(m~~F+RgerxVV38MDFj+jVmjsd~1I5LtDF3@fF>#_x$!z5;N&c^z+IV
zZasPzT>7APxQ)#G+Sn5<<!9CyJ)a-*s^{4st}apPwIadCyw!25m-{`^c~vzwaQOFV
z{gnR4KNs+)<yKd}C_inQ*+gsn_R@PTE6xt{Zu%;`g@?CQlueIQLo_B?my~>|)2)d}
zDl54%BgUkwMzrqgxOXkfrX?-YJezrX_%4I$X?2nA!`IxuleDVt%p8uXB;=dCu6;wh
zb~#qZmYq30Yt7sDpBkF|zI<6-J|fmMGPj`VgQqd0<4X44IQVtP_HVDRT@?TRX<EC(
zrJ-2XaOm0Er;Q=CPu93;OTOuMa`{>J`qH_#&O;jeo@$(b?b_6*(og05wj1t0*8T9L
z$~4hc^YG(jQRu#Q<%@pbOHR%I{GxvS<3*?B4c_&64^p4znWd~SGj9_0*rq;g(dH{l
zI(MA;azk8;vXS<;b88~=BeH!TRQivK_N;lknByD&uy@|^L%+u#Ht9YmG5PG5e)eZ~
zd41WJv~GFvy{UnTZC_PqiYrIvet)!f=;Lt{1}vIlq^`#Qozb}Y>2s}nzeg<^|JwV(
zf#@?qA6K51TN^%W|J=SqNXLq?X`9ZSHF^2Dg`Pu-b9TQ8Km3FNYU_nQ`_<cYn09{2
zt)><4i>7wa?)JQI#ZKX@tfpi4Ob=@v@;1Jz$+_Nrb7V7O8)x@_^JM(@2A}cW@{c->
zJ{Xw)=>C=svhvXZfjciHhwO+L`dBCDbc;tL#-DU5$Vhtr^=Y`Xd{$tmGM$CNuWu9;
z7rmS3JKXn*$Fj9$r}Z|s^2)3oF*&kFh=nbZr?DEH+xPb0ka%~_!%h3`o7=C{PM91t
zWt8l|tJI0N>$Ro@Us(UMZrz?q9e1CY)bH4vmZKv4r+Clo<K18XZSC1$zs=lE-gAoM
ztUsl|cX}L_Fz@mDj-!7K`f@_9b15%*;IY<W$#Xhq<fiA<sNa3l>2dcWU%!?go~Szt
zuO4qca(i{6`i;&X_g*x!Ixu>~zMKmQwk=~e6swIC#WxLIzoz|xOD(j$H(b5du5D}m
z>gXSBr{{DX=_n9%UOx2FqO^c9hdtIF%r)xndNRz~GpaOD=Fzoz?d|5Pw`^7S59lxV
zwR82}W%g!wn=MC9yr?+(w#)BfU#IFeytNkCo&V|Beb|{wn>Sw111>iF@c8{C*net8
znbpG)R=Rt}zW#0g^<+upj|#8PRj~oR=C{@P*0GPk#J%8f{~7x)a4o`a%04fyY1(4M
zT;qMoYR<W9KZ!Ok*cx@>zCqOx>)kEAwG5l2n;6T#_xQ%@yLw!AYv?#kZ~lm;&mIkQ
zPIy{co;+`>Q|-Cz@wFpr10AjJYFBrQ7<o3Mcz>&j-S0O2vUA?!vk_Lt2d6Bv)pXjb
zmwxn{Z&cpG{M+Uqq_*B;d=oSF^v{dS)~;!jG|hRd*+t*2BV76=MF+20yJh%`7A>D`
z-Z-Mt@5~N4r)}<q>4vV8-$eH)`mjN*Zg1+Y^{&Cw$_K1zpSv*Ja2<EI(NkgaE8R<t
z`)}{MSabGw|C@aK4Xc`IUVfL}u=8MR$1byiV`Hc7Fwu#%np2yvb$(@bQJ3EN;or=v
z_G*6_sa1Yx^SfJTkIjxzPha=D_vQD~O23w#jx>8}F#DAL=Z(ekhR~mh0hw;H$&QEZ
z{TD^t{xItB=$Y%|#%}3<yo0%~ewKyq`gXQHt1eE>)SRB!@vD7gM8&MylP{vjt?y>2
zb6exsf)*89t-D)1?5sB{`p#$xJ=Cst`ygpH;kC#n{bjs|Xos1%maPBBm`%@fPoL23
zr(3BxW@fXcDJHgEf*0z@ZTjR#U+q@af8d9tt9D<F^sBS|^JDs%2mYv2d#YL15OO=_
z?Sig5zFs}}_4yvHvhN{B%$zUv>D{g&WUbbV-@^jGg%rft_l}!)XytHuck2cBKR<6D
zEz~#Qyi<!f^V7g@S+DDRA9PBZG<?j@?1?{Y5@&Vlxa9JtnFigRCfXTiY<clTJ|b)6
zD@XT3yX@26*!&nZ#m1mx#PiQ9$Jno^;LK_>X~6i^h8_4TI&!(Q4JHgoTg>AwGt}Pb
zH|krt@!<~IEhhWd=Wu-Iuf0{TyUYDRJA=D^`>Zzzt~uLIcDDVP@T?)?N<qSgHqN#)
zPjq~ood2?w;mUvkXWbH`_ZD~9W&Fx`!^b?iclvFQWS6Of><u(~_Ayv_Ys9Imqi5)T
zJ7wFVtC@cHGwmX$>vzs<=61ojg~rDd0}fo>VLfKjqwT%+wY=QfbD;P9;2!~froOqn
z;{AYiThA4_R@Xkrt*?I8zRkGrW+$Ggdp+DL((c+fYOcqpHQMbi@80He%kH*~Vagu;
zvDptSJ<87QllM1G+;z`?Lcq~py}QVYzr0;N=z8m>arK1>TOYK#ajNiOex!9v{cFt^
z72Mdgt#De{VZA1cSByV?uD;;T72TBi@14(gA3JO6u(~@HrDwHzPPxRho<A3M`@`px
zx2Hef@@uGb&xOar?Ya&NnRdryk=u`KSy_eC{(xAISDM^Gt3n;W$=7m&ep>!?4j;XJ
z?e$w7e76s{Rm)fZwT<gPHLFk*(54`dYc$DZ$%I4eJGW|?U;aB?qhZkSHlNfp`|dku
z@;Gp);j~8<oxk*7`K4=UMrwiGOV`Rp`@|m%*1PmPS^9mu`qSZ=Hg;v}gT9%+t!p}I
z?nBd1pX9uCPXbcUm%cI$^{eS7mvucd{=Q$0X3~S*w>syV)w-tW8k@XueZ0#rHqG_J
z(?_GXpD0|p&FF$G?plOFNIAD`oxygEKtJ_yCuY{1)$}_4EMU`uz-v#7KCMdQoL{!P
z(<k*vVO7vWw=wP~U5_4^+0?#d)Pt*ALnUJZa#k9h-n;X(h1%_LrZa7_N4V|o^n8PS
z!=McxuU$(XyI_j0`Ip-BwWcSp-C8~NeAe#+Wv;L9ze!or_R!7EDIGl)gv!4fZLtlu
z*f^!N_ND0)#;&}3n^*nH?eXQ|l2(`VhwWAGIivUPDZgV^?!Kp9cI|Dmg&+GZ$t+yg
zQcddR<ehLY=xbN4(Y<o!)zsde^Tji@{XiG3M-6*_$*VoQ<lg6xmHlqF_TbS@4+jLr
zAD{7P>8}cN{~e{h?{@rR$GzCctNeGG_9y+zSw@yus$zu(JvTXSD70Uavn<dvvNEeY
z<b83cs72Nn@`tMFCp7C-{r%SM?Zw9oHyN(Dt+DK4(vh^G6AX=pEOV&fo5potoS$+v
zFXeci&M|5Egl78kt}E=<Ys@{S*TrdA7o8pb+&)#jwjVsisO9F-&Yf&-Ej0P?BzBP`
zE=kX*I^^Xu<MW*HV>lt5e6yG5Em(N*afz_)#A!!HsFwvkt=^xs_eOP)f9~}e&pYI;
zt<DJg$Q@bcx^!KKqMrRY1>KT&_UpLrgJ$3Bl@I3x*#t~o_&xdjgtw>VWs5?hf_~&x
z)y1ZI#l%=IH+27*y06lF;KGpFhVVXZ-RCvl?)@aHaoGO#`J6#NdpY_{T0Z~Qufo*3
z(*&171KU0->gDrv`q7!{cNgofPMo=NWz+OBuNeKrQ{MU`n%S?NsH>A`mziS!zRv#r
z`XbxUp=*Z5-rjQDJj`xteBt(WQNQGuDk6r2ja1vd`^nW)xs?VlZJow<Tb^X;us-KV
zq;sCu_`-t7xssnXkBp|+c&_Zcp)#xK;`eV~Opm$w^;gP{33X;V`)}s&n>_r<u~}ED
zTlP93w+`%6xV?wl`RXs1-kzG%HsSY5^CxcS`V3B3G_K?4F)257D_`{~k7;I}@$E=W
zzV06RUB?0YD&mFBBrdJ9Z8&=-#=ERYJXGR+(Bp2vngO>*S$24z)9=Z5>l|B$;Of{t
z%W^WB&%2xAetmK1gl-eNE~$|2+CFi>rZHA4PMs>gIrZYE0;8}q3sP5_876G6P<uJ*
zfFyM9;GW4{_Sa1IyR>LiY@T*OT2H^;XZ!tlvYnS^v?xGsS6-C*v5#ibtxGqKi(a@F
z<$DC18%=pJJs@l9T?_8?gQ@in#+`WiiKasq`Q%L97@u~$wDeU_w>{c=jdp3}cE@tJ
zC0~$TU*kHV_0ox7CoG!Vc(jX0*ZD8j&X{v8Z{wA<_Zr4&&X1e0SN<->+IIMZBN^?s
zEz|nouzAV%X<EFmo!iU9Q%&ziAN0~1*tqYZTeDs(3^J-UEEn|ZYIxIeUr!tRE_JV6
zEnKo+$saohggD*P`Ca_!N!a2(eVSYHu3Gk5Vlz^sPh0J4E#j>W^)j1uSgp0fd6eUz
zov9rMY>2jgSkhVD!qEH3E&YCa6M8ualRNY8YmVEdKBc*=b&;dR!`T<&rpZHp99npD
z)t1)ArQ3eLN&fzBZoTRJ+Ozc!0}h?NS#)*S<gP*YO9Q)X);=yMuQpzkdz4o!?!P^F
zx21m2s|#a>ZV&LUO4$0o*9Y^saGRpJk<YX=3wIRT&Rd-Ez2<s(>B-#6_Ip0vOmMjH
zJf_2`x^;)L<G0-5$Lws`XnOqpy6}CON%D1Wa|d5OacN4HxslnOZJ9U9x-9P^HOd+(
z+cmtm$D520qhq#b^IW>8x5^AV?wS25UA9j5YtJ6-YUhrBc4B_#8}D@7LV_z2=MUfV
zB5h}EQrx+ql%bj(%Ch<<pK6m8>E89|)5!sIPxNv%b-Pv>*O7PF(J_s;u+PzP)z`;m
z8XgF8mDfJvMr0TJ-4c&-810~bv{h^E1bN@6Aj2N-UYtnod1d*ow;8--;o22-p_S43
zrw%{pQ^wut>RNlO{%l^nO~Jsh@XD2&=NRUhSe92f6ujAGo#Rn!KD56@L)6T&%~IpA
zNe<@cCDyA~++91;qeaJ7t-2janCv_H)!6fgitIWhUYaD&oBx{6U7qZ-usGv*lHWs<
zLscGyVt3DW`N#Hc-dK?2?J+4X?d-iDFHd)A2p@m#L}<>Jf!V=@My)rGlO1+0H#2I{
zvCpq7$AXRB%yYdiehHb<_2a>lw}Kbfeb3FD{P_N(qk2uBUkfy?G0`10Bl7Jiv#pD}
z&ksJcey4uc`GTkS&)LXt2IrgqYO`qC5KA6+$lbO^8PkjI4w|^TtiozZN!t$Dy>1>2
zHh$Fa>XrX1Oe(Y0M3?=i6MrTOh+-numrWoZBc@85eUFMR$9P)CQM?Q#;qF*!6?-k5
zZ<E!C`NVcU*O(Wu$IizRws%qQJrl^2KGfM{*J3l}Z}9ySlx-)^WP2x{XH#!~kpJw2
zs?k-Luqp4)an}3m?PvTNL(OI0CtS-cj#)%haE^z`qlxkClSCd#RBDZ=(i*)Qz9*xc
z^H++T80GU=j<bgE3#r$e?Q%Y+(hi&4k?2XJ>-EUjJL6a6EUte>blpTF7Rs92)<pY#
zn{G$c#__S>obM3#>G|FzvJ+!}TRh6+FwV$98M%~5BPQ!jSYm!38vXUUbqR)maVLKI
zn0UaPhly-!v~#L;5L={8Oi)<nwU}>Uhj9(x<GUB^O<c!3`a7HW5?T5c47B@T72|6Z
z$6rls=a_#}@h}h5IDaNN$GoIssDjwQx&9vbNqochYVPY4&h@qA1NEnW5@Wb8WyF(W
z59iMkpUb{$#jW}5dy#!+3n;%wfoqqT6dlp$Sbh9Btoepf!#>sY>tDzwkt{X@P;usi
z@80J)T?w1$Mr0C~h#I1l7)FdI(m6Lcuc6|VF(a|5;)AhaHPVN)O~q_<4cpazMssGT
zKbFkX)2>IUkDfB7<cq|AEN$5zj4e4OF%z(g?@|@_S7n_NQ*F%LGcRL|*r0Ndu@$i7
z9c`9;*u*PYmEwAoOU#OW0gGQG)|5|}6FwKjtaXse5wZc?=f`?^z=1E?cp-Li%t!6V
zSyOgktocKXHD1Nz=07mX=#NZm5M^8s`|i^(V@kLIIo!)hY`-3V$D0MAW^J+6z;)Kq
zpUv1tpFU$Y>%Gio&9dsePc3LCtUCQ=^?V!0Lu-h>6Bfk2`)}pn1^Q{Ljy1E+`^;+g
zJg(<8$%)WqZ4l8TV9MVn%7_8s3~h6`R67!yjszRHMl3ZW7-mI~XEtzul3C}O3zSc{
zKEZoNHTSyN`;%6GhBBRFgp%=?zKJ!BbLpp1E|BrbPsha3Eio4#O92P*8qZSm{g~=b
zwwZq?eO&bMC2^f`G@dcpRn7*f&+2?&jV3DmcwO8UpC|Apd3_L{adEmhE<W4G$7MXL
zvxW6N$WzX>Hdw#ZN2zgABc;wsoeBEKbBz8vy_Rt-b+`$CC4OG_@=-(^|LW&H>oE6w
zhUeL%z1{XfZ;#Q*+hY&r^B)Pz+f84rY&%nDdaeF>+CMl;qjIzh&QU7|OZ<AaOVyh%
z@Kbe;7AyN4doNa5H@WYufy&+;eh$)~w7b-Nls?~r4O~Z8qmubZIWb#&qV@tvk#j-L
zL}MfUEN4-FHOh^TcwZ3R93-mqq7XA^`w1oEnJO$YYX)lU%NT4<XRU3(JlQK*hu9-~
zAASxU!pW=?&B!)?!9K}w*>8vPK?J*1T!?NdAifAafe>SMBKydAJC#lZoqT`nQod07
zyo*Q-i!V5)os22!K5-d8v!-JPb7*I%3_E#o1@mHm565_udPQOj^-|S&y%CQvzp7Z9
zs#tTN;=jbZY1DB&D_PeGql`YPLyA>KAC{`Mk20e*wo>xPs6}6i5ql%+u-qp$Vx5_R
zhwM^RQ&w%UPIBJ$l)b|I&0y}XrG9t6Zi92LrCf9i<t`(41j(0B1W9(8x(7hnAomo`
zZ+wb>okkI=7{?>R8|jBN7>IB6^Xj9_>o>fUMgm?U=jk~(#TnZ1S<cX-=4vc5i!s>9
zX6`0pp!s{|>Q~rmbi`cq18g;qV1u;HB%~Yrxc-B@TZ;TcJS=kk6x*9oVir)p3Qw7H
zvCP=d*!u%qb3XT)de)B^C%viv1;_QFT|kL{QOw+`;PY2J2iZ@}anKtlFvnt`(u;wz
zH9(xr`gpFYh<i$V<@pwSX=|IEfsJ>tPpwnNrJnRLx1xZ4I!E-0a_eNh8g;}D{VX0d
zCg6E(k9Ukt9vz3Vv28O~dy&XAb8(nh&FA~c?-F~XZQk8-@e#3xV>gfw$ajH2ABmxV
z!jx?%HWR-K-o--ZxsyB=R+@M0mi8f@HH3D}J0^(lPd^Xkd_&C#yki2!Vv)dJh0dYn
z=xp?({9fwCwXHPf(;@UW;QjM%HvK2?mmTBBNbDMe{UCSw7C0BfJ%s(U;XB**UBUfL
zBnBz}UPW>=hLEJ4_Rf%twbMv6o?{Gu5^QI(ofP;p*eA+=qU3S=r;qen#pm(z_;&oh
z-mR@4z}#2_anKeIuVJ{rEM$Koz8yY+;R5?O-yOfbZSKAcN-)6KA~rDw``zBQC!wD}
z?@e1%MTa>@w6#BEjUc42((iyV0?A#0evsd5MBDpZJS6zWuNW$RHMT_G2m2F$>`VOq
z(7tT*Bu0??k%y6|l8XY4&Dr?8jh6+r<W7C!awGfSjrsos=FSI1Bk}(KdM*u&RU(0~
z&+#5o$a`cn?<bF-9B5%J`8tdEIqT3g@)^o_dbjo`I`BD>vIXRAz|HG?ewOm)C_LRv
z!;XKkUgp77Rd*c!<=rhoX;_kfPLcwl14Y^>XlArhnSuesA|f;-ETt^+NKpY5En~4&
z%3>l&t70iyWDu2NkV;2IL1w5+!4>QuR-M*mM0AwSXhj$`Cbys8x#zyT+>k_+H}jeA
zJLjHr&$(y&eUJ5(#pLa@b#v|es-pUh&xw5b89W@-Z)|`o`2Rm3o;SXKi9Us{r~F6M
zTY)|uJ#U&xdNJ%FeT4LUn8N?t&_eV~=m|ZjzfMs<(&ip|%JszekFTqEmO1pZ6y1&f
zCV7YW+8WPiCz`x##Pi>odiE~SR-<v?&h#$6Z%6jsr=vSgtjuR~Hg0v;gr_`ReYAR6
z_0PsXS~d4K<6~)8q##y*`je;rRlT$NS5)6$=X<6<)%0tY>6eWg*=K9cXR;Bx!S}3Q
zNtrKFXM_hhd-7S|$G98auaIVqNlip}kl2+^tlP`EdklS<bZ_)n9Mj^nwappZNlZJ{
z>649--yo)zTV^I`FF)pd%NQjYi%*u$V)r+W<?Y1i>^S{x({Y@CkIDO~lq<pTaJQ25
zrEPpbC+W_7?#ZT;zT>3R311SYleBrBTzj#fDUp&4iG6pn=-tA7ti}7seMs)(%zm?J
z#^|DKI0pvW7`hpba%S`fVpMns=^JyulJeZ`Qck)ah>PJcNb587yqq;6spDZ2>1Cw5
zxi6ctQ!MGu)^l=y-Ksw~{*W;<=iqJHe;EuHKo9sEEQse??~t_pPKv0j_gr^cc+5Qj
z2@lw*o-5bDcGCHz^ErzP{O+9F!{smhzZva<cHw-V2(_H$6TJOllfT528OyUu_c|HP
zIls_-m3JNrpXE$n;5JKsaJtkHJC_qfOL@MIy7i<B(W0P#uiVdjo}m6}jRF3r#KFnL
z!#s^0v|A$^;Y!M0>V7JBI;Y7<-qYVbBn4K__8Mij#w&l2bkmqe-Vf1%Mi1eQr^`qf
z#`}h9tZ}xnMh;V#_>(G-J<fR9<31#dc;AjL4YDzBziiA+OJ(j&vd(Xib<PG^PTq##
z_p-q+lRABWM;uo*CdU6UQ#nCz6Z034F0on>e{<3knEp+dam3}#+3m*lax00YpYr{*
zt$ppx+YsYdL7MMy(c{VXbc|9B;Y*RqJR9Q|XJUShOsAj2bWF|IPM3+!jokY*rfd6K
z(0|Dc_hztToa{^77UR;?o)?O}3I8X<Xq{&Rv0K-Fm03#>)!v6@zQ*XBd0pAV`8xmM
zE*&4k^^{LZvHLNwhP0mw>#G<hr{19aM)v4J_6lpzU5jUGkQElnhFeU%`KI1TzY2!Y
zuUhIggzvQ=D_aQPbE{>Qf$`G$OBIB>&_$^iX={k&oAJArKHVyl+*$Y`krKvHzq`mC
zNWQLr&q=`i!>>vAH{Wj6jMZ@J<;xiJjd&_&kO<FmoeR`oF>bbO@VHb4!&$GVNu~FQ
z^mnepzx<uEt`~DRmU+#W<<7g($30)>INc?!<Wz<Sa*m)lbtUx?`EQ`Nldh9#sn=u%
z<Fyp#!z#YJ(eMIZ0oX5BTjnaMhMe#7{4JP&YXA3+{*yOEb{gV$G{}}LC>Op9jj20n
zyF${bCun06eW4wv8~ZN-buP0EwC#*?C$q;|Ga?CfRR<>_U-bt`Y<@`+@>MI6kY90v
zezaGvy?(TpKOhPD15QCd+Iw%mB;@z&pnn%9A^+l&=tq0w+&>BV{X6K#_$1_yPxga<
z^ND+G^FHpT523Hyc>f_f4rTQ<Kg)ma7h$bUzi!L@3D(11@EKHCIP=1pl&M4i3tM1f
z3(e1?y~O<DcEYvrBdCem(z?x0Mr|8xo6V0z^_#Y%&n42|h4-WOOxt?)?ne8;-S+$H
zZM!?7zBjLJDc{^H`bJZ4M+>0?KcjwsDO%M+^J5X=Gw5I8Kd|5SOaJ$=<DuXDxW239
zT#zr_yE!vvi4dy`f`&-l8)Te0a}TzPRacwy@Q`dZ=UvFzH&n{~uK199q(Xgzp5fkH
zQ+~CVCN>HF1g~KH!aL%*|Bzzuu*`H9%1CD?zIYVpEp51el%MOn_1sp^;oKsBm%s##
zVVs*93oqu(t?Tlr@h{ydQ{a9;fA5mL+}Y~ADUw5dKNv*%Hsboda=mwhEXiFUd;L%7
z>#I^ryejo)$`EgvjE?WN{sPJKPRAEm&0Q~Zf-}i)kiPEw(krhHU-ybkV9b6Tw;g*e
zH;@AIb<XzK^#@;-!8p@r`il>LbKNrh7@o<*>t8S?Y15za8b93!#dVg7cpnqH$H>4S
z5AQWt>hp?ZlYgA=@bRf-(l65{KEP>^0l_cj9Is9Wc-72N8NT^F#(9!-iIuZ`Z!kv!
zZ(7)hce~e}XZ&IhcbgO$??CLzX#9=_S??{CTUir>lD;PPQ5jF+nK`b1j@!t5532Dq
z^Ziz{{Dv8K^2fS`Qsx!1cJLi-)b=STl&zFq9sAi}uZ#^Gbc@vbH%paw3FFdJs)A>v
zM=(l?)Sm@`@pTI{Mtfi2MXO{0b29?CQ-oIl`!Aeo_xQEU-)k_P%{as6fzEk&8u`_>
zF3-bXMfVI-hG*d_`+tOgB^{N~x=nA|@_HULTi%W^_mIBXKGpcq$XmD8jITHAr?OK`
z_|NuK_b_XuXT}f5ezL8uMd!t7eBRsa(L1Qy7yQ^qCzZ16@F+J%YP_N916J?TwWeM#
zsTp70j<)AtvwUo{&ti>y^~!|KusR_2*PUs`f49;wwCV3;{Ca19S|fSJcUleBa3118
zW3~DDS?agBKV_?#6LGAMRsTMgalggggct1qU3ZGVj5W}j8pXL?E;|uEkwgjRx5oPX
zcJco}J;*Ih5*}6P^Y0?UKU<DiHY-k!h~nO!Bs^-+yW0uy@1b4DJu4!3KEn9_4qyx<
zAd=?xFzRb8>=0akh7x>iSsfFGN<8lIIL70`x4qAI&&%{VZr{H5+s@;+otIPf-5vEk
z8}{U3h}Bn4*l*^?a5O^CC(8D;_>Ak5unk_YtX0@6CG6W{&Ro_LWY=l44%TotRcu=K
zqT=K1f}&_2a7X$mLZ+T*e1f^r`U}p8#>s1x+17g<<~zE7>iMqNv#)>N1i9Co1vOHt
zXA5yx_xaiGQ&QX7^MzHcn_}G?#7U3x-M#CiGWBA3pSOfF;gj$=?<Twe(AEme^OjAK
z_X{6Je`3aYi0nci%!a#dA4SVVaWZ_s`fc^Giz1poi1J(d6`#G%=X^(_6svD=hfA^X
zFPBRl6gx+Mc#dD-8|t0ea-qfy=RCX>{zLtO*$W~)-M7$)u8hkBXKU8}E|V2*HRA;8
ziOf9hBL-;seWreiJr@URTh5i7<Nub@)Dg<@jC%F@4)0M}qQ1!CM&Vt`x|m4WiQzw;
z_2_8J=dh6e*2v|l6>^qSE9I$I@H>U%UjtY1zX;8LhpDgu7Rxy%zmawFCFQ|!Nxy`8
zl7{ls7nWNi^m$H&q*FU3jVDg?zNp-*rcQ(}>71ucTWP0)_famzP07JgIED7V&-0bk
z+lz7IeK|*>cbR8#nY@-V!EdFqORZEo%hAF3hzrBrIUmYUcbar(PP@Xn%=H0#f6#l=
zL146h!vC{gHo#F;R~$e4zIKyffIujqgi0tOi~<3*eh{c>SdvKj5F-$n(hgR|kWyXh
z2v(~wn6Xs`q>~8*5C#&yqSgUHBP|XTC`_el4V_ZjVOkYLYaPWF6@2}j``)h0V!Jxi
zH}ju!@4H{;-h1vj|Ff3*VQah0QrK@xjln8^zr!v8p>&^;Ic~XJ>7Iul9LEk$$SC(;
z(&CPh!QLd|Si9UKX`hqu&tZ2{tWN((WHY*?!J8(9Is0WCcPKIK8%k>%Kt^g!JQ8eL
zB4k^#Etr$M!w%n?;knUDS<E|*gTNOBT&pKzbM@^}o@iohtMp?gE6AZf<FtHz4^!}e
z4Y`b&9KPYn*wcEot&j^U$85J=)4Ud4`uZK#Bq<8V&Is~S|3UBzP{X{d$z!fpM9%n4
zinMx%;{RQD9+qpIt3f&C@{8--=ZFv&+^zS7j8-^f=%=WYA@(XA8{Boax;Ifu6xKl2
z==%lrpOV+zOKzxRi?Y|P9a5|?_EvI#ah*MlRiyTvt$qo%1(Nobvg!Y}|Aem`IZj;J
z<8AdjsqX^I@vj>dj`%)pFNA#UQ9F;fJ)a!3S_TF_9N(CbBK%j8^BA@V?+@ma9{8pT
z^^N%Xa~dPU_}9q1pDHi4d*lDrm%$ao`87|f((%gk@q5+k``oLfR(-AdR1-6Q;G&wR
z;csqJ-(nq-k=D7u2Sqv!M17In9p6!bjul3lvNa_1DHW1qjbtw?0@z*sL&hiN2R_Rd
z=6hcK8SyvpSN-h1f&a2z4}6gISNbGz2Aq}=yoKEXOm4Qt#HLRIKWTg+ep<_#yM*~u
zSAB!{iyO1?rI1^0%aAW7Wj0=a7>?N%j=8vholJ3#U?=OiJB`T)rPQ4!d8xchWTc+I
z`<BU9s%TdZ@;T4fn5S{l+!J?H3nzL<BAI!C(<xK*ZryK5fyOS*=>T{=P0k8n;<TRQ
zNqAW<ad*5~10Toyh1lttP*2TI`e3I&Pvw5eTrQbwh}__;m5uftaG~LUQWeJg-D&yl
zMupm$dq`R}XH&_)m+4m(#0?We_JdcztKdCw6dV^h|0nKrnx0E4A9_-B&KKO{oYw)#
ziH(;&UPr)J?1$u@NTbv#&~2rH|G!LOtMtM3#=#As4BQGTLy6CoYUAe<oOeQI+6C}~
zN!UqT%Bh!8E_WV)tC#S9KLM9sAh#fE?LM4Cg4mca{Cb4`a~`DMFzz?O{ogOO?tZz;
z{e#SQ&q`ZPjkF<G+m_tm-Y6T{<M*6<B(8ZHyrR*{C0|R(1mZ(J+-HgEV)UWEwwZT(
zH!<x|X?FI}b`m)c#E4_VsJ}1Gk<-#_C%7m2*t_|EkoI?xWwbYcg!0e)YrsErqu*a-
zxpSw)yy^Iyc@lHxf_&-kkyGJkW-`aMj43ngoFpdhlVwJSFM{ecFVrbS<g|YVot7eZ
zf@4WtGGX*chw70zcREgn`edx9(6dN~o{RH=3}yW$@GI~-I*kU6?zb;IuXL!cDSULH
z-sTLG(6h{ho^29;`QbT#0rcF{VfH=u^Lt2vGtfIRcM;lv{WNQ9S@*4d-VbzC8!$Ff
zCsy+QvB~j9@3)M;&CWOEE~6XkxN&>|ch6a9pPN&22KKbnjMIL!nLAY7^qilOQlrB`
zV_P-4uD0uWdS|4ox061{SfdwxW=pYITjzcx(9evWgAZeWF7FoF`xC3)<e#Ef&}Q@x
z_m$FJ?_YIiPWO^PcerFTZ*;sjn7NAR{}Xtn+DI)pAaU;*b5{j+u{7fk27r3?3*d6_
zwea6iPz{EFkzrls0P~K&EcCs9S)4UKAswr;LH$7nMr8hTdim|?b@d-$f;9)(YRb`U
z^Qezf|C9}X#Ia3D|CPCh`Z5I^AV1~T(y>mark%ezd*?mk(LZF3!pnoxbjlL<@3O=i
zgkK-Tyo2NlPy}X!;owrxFGOkBHYlvez~C-T63_3VF~IN0f6Ykc-n=NEJjQRy#(^`r
zUXlZ5_Jb$xiyZZ5A>T$WaW5q<JO{r^a_=m4`^VgWK^ow=W7CmMuZuY8@8wEGiUaTP
zPq^ZraGLy6&Kv%z=u9}_F&PofNA{5G@^)#K^4S%f$vF!3AfYl-&um=$tL~fiJ~Eu*
z<sj#>x5^;*CAdg?$UhQNM_yWqe2{v-=+jc*6-sY!f~<9aEsfDFlH(nd{vlU+B=(qG
z673;>y>s%3vq#_|%4KSi8{l8_uvIv<!tn0_vd12VZFb;S=EJ3?6IWU!*W`zq4<3iZ
zER&ny+HbOcrE;f8+&`kcmGx#SFJi7a-YD6ccdNfQR^u1sb&(O+S>**e>rt^Ho8iHm
zc{App^tC3Fhi#V9w0~8hEDdGy{|}8kBWpo_H*jen{g17o@;K%C$VzgBJ@Dc^hKqEC
zL-$ZPCH}t^dglKN&O<U#VZX^8rj@hii<>S)W*+Bk!cTxyJtMEm%+s>IkzKq!Me?20
zOI(2s6$SiK<!2|66OkVyp9438aT#T`^|nCz#b6+q8sdoz45RNKkynATB)_NJZkLgN
zw{_>8y(&%aKpCw6z!2+k*#_1*m2kvzkSWKemGyk+Z<pW)hfB}MLK(^&_j=Q$&^?X)
z{SI_U99xf@ay$Itx5&fT_k7uC+Qv$&bDgwCe;}>cbPG1yf)5?#w#m=TxK+~P<uK+&
zS?+H2-*s2=wsfv$Y4oPj?-cF*!nN>!m+m;YP6Oq7nd5w&IeW___W`-qBj@w_pl_M%
zgp<yV%<vaPR{86#{?b2k%-`W$CKcWmSp=_abT+`Fw;&t99a3fg6Ul#fYS>1ZoUqY*
ziuzRQ4M976C2q?1$x`ZzB76M}PJ{m&yN&#acI$w2GiwyfEN8J9qw6j5+QM~z@0JSA
zveDG<@XtCwVm}|U#~tSFzhE`XfS4t7749n%k9Eo-gI5BXSID@8To#k$=YJ>j9Ynq>
zE3EA@OA$LHqZQtM?0^5o{?Mvm+zPoq88?{k2!86D?m_=0r{3R?yFnzj6n|2S?^%Kj
z^Er?IUJV>4E<HRifO8W$<p(l<#+$)D>tu+%O5bDX-!uHZ=4R}-A<`~&$Qj59$-Iua
zhr2HCyq>&CaXEIVcs4{V;I=uV{qxcB$cK^Br6yL2>@PLZ?fAwM7fa@!%-;Ip8w-$L
zGJj0fua+k3esbD`6ktD|N0h;bO4Nf7T_csb@5t=v8mTn>6VlyVFFoCV7S8iNeDXq&
z%ngsqH1|_%rcDOhRdDA`<{gb<T#h6D8_C?!xlKmdAL8SJ`Ml)3P7nNkr8L^hWRk+M
zIeWze<Z-}S!(4Y^=X+&w^jU27Zfs|(Eb)Z6@O^ya5u;0A=Bl>KWskNw&yx!(o-{dO
zHTzra-Ojr_%sOEocaYqF&N)odd$5;EPp?>3b7zg%!YAnMYn!>BJK6U_DRRkLHCDNG
z#F~-V@h;?T$gqwMMf8ubuR_KaGOy~SQh98liBZD4ozLDnx&Pyw^8)6+RUDJ|mdP0R
zZ~tMxTw|j;t~h?~%zAA|jn`IeL%ZHPc3~;D>&KeN;Ss!RN@Wm#$f@fljg`h-?_T4D
z#k<;FW6?_CrVUBjL^vW+T2cukKC~iH3b}4zc}S*m3JpmMY64Y(5C}~~KBSKFAt`Fh
z_CK@Bs})p=)Jl~`SHE-4JnqbyGjnI=;_ff!=>>YG#7zV44tfxG>304+?%*}JhrEcj
zc8MNAormPP2!AGjXMCTkT|0Br#S3vJzJ)y^ox4)hOEcBEnx;<n3GAcT%RbJ1>c;q7
zTLH%98bI9v%;6<^4s+B4dKH*+iOa%TJge^MTU>71!gnJEMdageU=FwA{5+Q1g?8ln
znIrvDzR7>VHq7be+^4Q1;1vEVC|Bh=1?cK!j9=dKn|L{YMX|s7jK8719<=)!J>?ek
z6#5^++Lmp8OaAAmSRgk4`pw@i%`5S}Ro=K4{@Z=&Kb?v9;BE(Q+=s5df^QewPi`4(
zFZeO+0B8fAJpXu{=<iQ}AHud!rxkjC{>;0&mY=7KB^fG}V6S{q?xFk>oC(L&7$3&^
z_$J2NDDOCb(5rZx+9M9SPa*z@FV<B=-gk;|z7@TX@8%c{Uc2wW-hr~O7uHq>)?y#l
z<lU}LdJg}hPr9~YkEz9)eE|6==kMd3?m|pvgB`SthjHiJkM}2NF78z)`Jb@HU!<Mj
zWo)*6g-tiExf$2OTXFBZm68u`Fw@2_*SCp0SRWM&=WcMf$WwVH&+Md^FscU|mp!Tn
z4wpTu2M&LYMx)Va?tnp5KE+<8rF5K%iIInb^aN2+^%t6{2x+2O^h-z%h<#B?WfxNv
zDMO{nC}ocpY)-TI(*@fFdwaol!~R9VE~ZxgDry?88EDhTKPcD+dEKsp&1jZe6l{+C
zrh@H)y{cflVGkDUVj6J&fOeCh0JTsnwZrPAA+mp<*HD6nL54O_Qspd1Dg|50F!E!n
zMiWXx6vrc|2YGApeumO2WkFl0y%931YL?>ZLTUiH7L6jOTeUuney{bj8m(_a+aqX4
zpxp%8j8O!31a=Z-sq6iS>)y9e8!Z3zR68{)AHrxMiMj&)hS85~BSPy7byp!Zgj`uV
z0v~_V*T*E|5L4rb-`1Z&6$?R~NDrVy=7v=yZXIL3okU@zLiI9&(uf+bObw##QM{W{
zIU}eQRgn|OzcwE$;ggI`OuaX(V!K4WZ>bs<Z9tzg(orQv!J}(+h00GON5(ICeFkrg
zLzZXYMGSAI5rvSdnIF-$QG}IGas@<HkJ5kV^=fp3pJ(;#7J-)5cF{Xzi8YDgL}pXc
z63Y{*WFi&L#1g|zA{38{p4i%<Oj`6<X)CqSiZ+ST(k^QtWsQpNq&3_t-&q~rlo-i~
zcw%iVA|i?8rj&d~$mUzxgkP%mM$r?FCx=8=csP=XtViyu#L%$l8i}T5PrXC2w1|J-
z+|FPkB|2jR@mM4r7lj^CCxK2yIx&)pSWttR(QwKVBg0WEB{FgxD|^N2Si~AmTT4XR
zvV^r^z=}q#sEFrtMbt`1Qn92Qpz0%PWx}y|x@kpES6|=ihEOUNj<4yxQ%Wi6OIT!5
z;i$DCoLVmugSU_4|M)APsnB2g|I2@uz5?;<qCPyUso|#Yehoa4GrSg_#+BE1s`+`#
zZr*49E4$1qy<0+e@kaTuI;tU)H}HBK-zKkj+%;yFe`Ufy+dO%gFQ5y6@dZvpjd_62
z=QYj}GnnOHo~Wn{l!d;^1rFS1B?V*x>;aR&Mg81|d=KPiV1qqi5}X8Xob!J^RVqLN
zjDriZgx7GdBTP?dKA(ek=ineO<JB|`a)86nYV=x7-Jl<gfpOqg^<+*0YzC9yV^tF5
z)y}py_+ITit<=Q2ct9n?`Q*djQOSu1AIj@B-^lB)t;|<joUhipFrVGjnb-3h^SWYQ
zz?OPuY2ZkxidSKfRd75BX|R9SsLU|Pq@BEy_5#M;g`6O-n3(Gij8AeG8JuwgGi>IL
zaKkAr4}@m29Gj*JGTC3)NBI)=(ZsCsz<6jCdyn>jNx<2AcrLPww3%IyF^B8`<6sh;
z0Mo$DF5r0=&v|y9%Gf*93_3tR7zdMJ8Wgj4AU*7yylyEe?GC`$IY@sGJBwkRg)C!d
zV4Y!S;M!YG`=Y=BWi&Jw40B$=sQyyHsHh5L*&m!M3$UX6m}#u2L%fcbQ5&yw=Cxw^
z&32Z?%q+V!AsWn`p%(Tw?FG0<LVADz_k-_(Byhtz4eK=7;90N}>;+h5kRBk|aquQM
zO)Ve@?gu68q=Rm<?1X>g?=(YI?Dy;#RU_iRW4~4UO?Fi2H`s5KejVBeeViS2d?tnN
zLOJ0b53~om8RbRn*AsIq%v`9PO(J$CWHaah-Jl<g0XLgubxzc*KqH6fcnP7VLmw*r
zbJ|rx!F6WPzZ?rtNa0_6A1sJ*G45wU|MT0Cl)}Gt8!RdOk3W9{OA7z@9)l%?KfV!`
z6#nQsSW@`=`e8}o@9u>Kk!3sf&z*0!cds`@sEmywN~4I<D55k<E;cG3y5f?){miMa
zN5ozTHY}(&?SqDW*syyHdzWEbhW)5vKW5lV4f_$pZZK@GVfzd_XxN90dl3rT2>$Ap
z<f7ng!#-}<FB^Y$+OYkGJ<qV`8n!UngIQMVtZY+ig;EnC`O!h&w+y>a8LLG^Yq92Q
zu_sJIo&Y(O3Zjyz%U7P`le%uAz9XM*S{z8=^O?enQ<#P+dKb7bK~q>pQ)pxg4U|E4
zfPQcUOoJS7qjnt}A5*dnvKe%Mey|x#1GjQ#8Zb%}T-<-79FtBr7aZ>fE;fay4o@ws
z4c2(Po(4}BAM+YzKBL>0^RafSs>1(HMR`ei)+pWgS?OOtE2SBs8Eh*XlUp}?wxGwH
zE7-b?pE~|SW~kEm3He-DdB!608}p#=rL;=lL*5dp7m}B~1RZd^58$;j$KPlkG-k=S
z_L*0_e>Q(V^kx~%%icrgA4S$>IOZwjytL1J+xsK)_2z5|at`~m2Gl{JsvhwElkqa>
zX&Z^+_>9eBhZGvJh(?Xc7@44LU6u+#-8NM)#@?*tLsODgc4}3DC=#o^tmLG(MeG4-
z(W-l?)I&c(RcWO$R4C9(&wL6#!qUTD(>G%$v?_m<b`;MW|KD%s%}mDj%w6)&DM$YR
z$Lj;K!^{!+U8#^?74B%qj%Oj<nODiie1rT9?b*r}F+*tch^#8l$b*<#VReqkZRmm?
z7jHsmZzw#dRsiK4S$X`}=;3Yimh?*Uq=(WSX-T>z%}PX?k@C`%oRu^3gnUIFlVy2S
z9+7_q8Oc+<{+X%6nG;QoW|)B^Bjh8zoDo>gPOa?Khh+iwO7wft72KMIUHYMg+%1*<
zSJQfU>`{Y$r&*Y0UF6m+dRKRQQh$RQx=W?%Q!m2!Zy!`D{Mo~(?)7k=Nqc#kUH6U=
z#*=$5^349Q_rmv4Zu<FZZZ%t;y!VrRN!EW%a{VIZz9`RF^p#ul4p!d2ow0nn#LN9Y
zlwJC=rUu?I{)qo|>|=b+jPD(bW&F|EV7gegec$cjC!9knJ_in#&N=5~_)0Slsd6Fa
zUdLP!>H{~&3~;FwDsrxvN^x!kGcF3}96Oqu<IFYKxN#=Drhd+x7J(@iIWxVBPC0*b
zI=#ynTIPtN08&smg0CZmBMQFGktY|(VuI`sk$oOX#21VbGvj9iX8a5o{r{%6rR(^x
z<hKH+tvOB2X~Wf|e?8yM(cLXojaoi)s8pP9Znd_V-E31|YumJ?*=ke@E^!CUUDE6b
z1y0?I0<&!&l+2Q&ZQA}}rMhf<5o>>c7;CwDNn=&k*fNV%F)nc%%w1uz3>M2^u_|VT
z$3lFmSG`C^mcJgv_E1QV!Ln`UXMJlr^IMs(;nHkwCw~H4mp3S_`}B%t(Q&w#Yhi6+
zjk(~_Vy+30uO_bCPH8rOg5M;r49Jt3h4fB0?4q3Wiyi+$NFa5(Y{KJQ55Iqvz~@kN
z(+)cbx%6hurK^t`UL;ANHrbHq{ehNFJH7sgSo{&h`%DzYA;`1`OiQH_@azA-o7i>s
z6zmG`53yOma0K*4T5#(Eyb<aR7;Dh*PGDojz7?Sl0}Qc_!$BKKw{;!G_lS*oaCN##
zDVd8-V&j@nB^*r2FtN$fhch_V;mz{t)B|sALcAj`!qI|=x4|xeT>!fTc1c_`v-3n0
z43d%!k{+{(G-{JUtG@n8fB^tF7r8Z;L7N2=12Q)-mjT2HBMde#Ol59obZ8(kH8PjZ
z2nHN~M9x7Af<O?4;lDCB^-#`?E`*36dMQYPg3hZu2SMD}MxuXTQsDi2K3>ik5Xv%b
zf><5>+**~mEf_gRCZ-$@#_Z5Uh*9!e`4HF6_X710d~X#v+hdZRz1y%s%81Aq-0&rM
zw+!;te|MK28vD>C2#{GnZlg{TUz=km3Z1+co|C9bDBxu0#fCSmT}f4a1Q-A&QZ&7n
zL7N2=12Q);k#`^gG?AD|J~TBoL^4J}IXOW@HaIghF*q<oF+w;+Ha9piLNGZtLOxwD
zNp56icw00eF(5WMATb~^Gcq7CATl;FATcqM5CIl{HZ?C$a%FZPF)=nTQg3f`ATl#F
zATS_OFH>oHWgs#)GA~qlaAhx8Qe|c@S6eY4GaxWsK0b4Fa%Ev{4GL)9Vq)aH`<sb@
zfytMN@w?J7rvIF;Cj+^REkJ_13rH|XgJh$b7#KYsfVgfTS#}UB0!X-NfVkfQ0t^7}
bXA66m(cK9i4>mb4I5;^C3MC~)Peu(2AdU=Z

delta 27
jcmdlsL+kf$^@bM47N!>F7M2#)7Pc1l7LF~PzwZJ7nZOFK


From 7484b61a09c1634fde15b5db7647a4204dd565f7 Mon Sep 17 00:00:00 2001
From: Moe Richert <104998806+MoeRichert-USDA@users.noreply.github.com>
Date: Fri, 31 Jan 2025 12:00:25 -0500
Subject: [PATCH 6/6] Update 2021-01-10-Geil.md

---
 sn_collections/_posts/2021-01-10-Geil.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sn_collections/_posts/2021-01-10-Geil.md b/sn_collections/_posts/2021-01-10-Geil.md
index ad0c013d9..d7c2fe15a 100644
--- a/sn_collections/_posts/2021-01-10-Geil.md
+++ b/sn_collections/_posts/2021-01-10-Geil.md
@@ -7,7 +7,7 @@ excerpt: "Scientists of many disciplines, including agricultural fields, often u
 author:  Kerrie Geil
 affiliation: USDA-ARS, SCINet Postdoctoral Fellow, Las Cruces, NM
 
-published: false
+
 ---