├── .gitignore
├── thumbnail.png
├── example
    ├── example.pdf
    ├── example.bib
    ├── example.typ
    └── fig1.svg
├── src
    ├── definitions.typ
    ├── assets
    │   └── orcid.svg
    ├── utils.typ
    └── apa7ish.typ
├── typst.toml
├── LICENSE
├── template
    └── main.typ
└── README.md


/.gitignore:
--------------------------------------------------------------------------------
1 | template.pdf
2 | template/main.pdf


--------------------------------------------------------------------------------
/thumbnail.png:
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https://raw.githubusercontent.com/mrwunderbar666/typst-apa7ish/HEAD/thumbnail.png


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/example/example.pdf:
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https://raw.githubusercontent.com/mrwunderbar666/typst-apa7ish/HEAD/example/example.pdf


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/src/definitions.typ:
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 1 | #let script-size = 8pt
 2 | #let footnote-size = 8.5pt
 3 | #let small-size = 9.25pt
 4 | #let normal-size = 11pt
 5 | #let large-size = 1.33 * normal-size
 6 | 
 7 | // Utilities for tables
 8 | // thicknesses stolen from latex's booktabs package
 9 | #let heavyrulewidth = 0.08em
10 | #let lightrulewidth = 0.05em
11 | #let toprule = table.hline(stroke: heavyrulewidth)
12 | #let midrule = table.hline(stroke: lightrulewidth)
13 | #let bottomrule = table.hline(stroke: heavyrulewidth)
14 | #let tablenote(body) = { align(left, [_Note_. #body]) }
15 | 


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/typst.toml:
--------------------------------------------------------------------------------
 1 | [package]
 2 | name = "apa7-ish"
 3 | version = "0.3.0"
 4 | entrypoint = "src/apa7ish.typ"
 5 | authors = ["MrWunderbar"]
 6 | license = "MIT"
 7 | description = "Manuscript template that (mostly) complies with APA7 Style (Work in Progress)."
 8 | repository = "https://github.com/mrwunderbar666/typst-apa7ish"
 9 | keywords = ["apa", "american psychological association", "manuscript", "article"]
10 | categories = ["paper"]
11 | compiler = "0.14.0"
12 | exclude = ["example/*"]
13 | 
14 | [template]
15 | path = "template"
16 | entrypoint = "main.typ"
17 | thumbnail = "thumbnail.png"
18 | 


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/src/assets/orcid.svg:
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 1 | <?xml version="1.0" encoding="utf-8"?>
 2 | <!-- Generator: Adobe Illustrator 19.1.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
 3 | <svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
 4 | 	 viewBox="0 0 256 256" style="enable-background:new 0 0 256 256;" xml:space="preserve">
 5 | <style type="text/css">
 6 | 	.st0{fill:#A6CE39;}
 7 | 	.st1{fill:#FFFFFF;}
 8 | </style>
 9 | <path class="st0" d="M256,128c0,70.7-57.3,128-128,128C57.3,256,0,198.7,0,128C0,57.3,57.3,0,128,0C198.7,0,256,57.3,256,128z"/>
10 | <g>
11 | 	<path class="st1" d="M86.3,186.2H70.9V79.1h15.4v48.4V186.2z"/>
12 | 	<path class="st1" d="M108.9,79.1h41.6c39.6,0,57,28.3,57,53.6c0,27.5-21.5,53.6-56.8,53.6h-41.8V79.1z M124.3,172.4h24.5
13 | 		c34.9,0,42.9-26.5,42.9-39.7c0-21.5-13.7-39.7-43.7-39.7h-23.7V172.4z"/>
14 | 	<path class="st1" d="M88.7,56.8c0,5.5-4.5,10.1-10.1,10.1c-5.6,0-10.1-4.6-10.1-10.1c0-5.6,4.5-10.1,10.1-10.1
15 | 		C84.2,46.7,88.7,51.3,88.7,56.8z"/>
16 | </g>
17 | </svg>


--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2023 mrwunderbar666
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


--------------------------------------------------------------------------------
/template/main.typ:
--------------------------------------------------------------------------------
 1 | 
 2 | // #import "@preview/apa7-ish:0.2.2": *
 3 | #import "../src/apa7ish.typ": *
 4 | 
 5 | #show: conf.with(
 6 |   title: "An Intriguing Title",
 7 |   subtitle: "Subtitle",
 8 |   documenttype: "Research Article",
 9 |   anonymous: false,
10 |   authors: (
11 |     (
12 |       name: "First Last",
13 |       email: "email@example.com",
14 |       affiliation: "University of Instances",
15 |       postal: "Address String",
16 |       orcid: "0000-1111-1111-1111",
17 |       corresponding: true,
18 |     ),
19 |     (
20 |       name: "First Last",
21 |       affiliation: ("University of Instances", "University of Examples"),
22 |       orcid: "0000-1111-1111-1111",
23 |     ),
24 |   ),
25 |   abstract: [Abstract goes here],
26 |   date: "May 20, 2025",
27 |   keywords: [informative, keywords],
28 |   funding: [Funding Statement],
29 | )
30 | 
31 | = Introduction
32 | 
33 | Start writing here.
34 | 
35 | #pagebreak()
36 | 
37 | = Declaration of Interest Statement
38 | #label("declaration-of-interest-statement")
39 | The authors report there are no competing interests to declare.
40 | 
41 | #pagebreak()
42 | 
43 | // add your .bib file here
44 | // #bibliography("references.bib")
45 | 


--------------------------------------------------------------------------------
/src/utils.typ:
--------------------------------------------------------------------------------
 1 | 
 2 | // utility function: go through all authors and check their affiliations
 3 | // purpose is to group authors with the same affiliations
 4 | // returns a dict with two keys:
 5 | // "authors" (modified author array)
 6 | // "affiliations": array with unique affiliations
 7 | #let parse-authors(authors) = {
 8 |   let affiliations = ()
 9 |   let parsed-authors = ()
10 |   let corresponding = ()
11 |   let pos = 0
12 |   for author in authors {
13 |     author.insert("affiliation-parsed", ())
14 |     if "affiliation" in author {
15 |       if type(author.affiliation) == str {
16 |         author.at("affiliation") = (author.affiliation,)
17 |       }
18 |       for affiliation in author.affiliation {
19 |         if affiliation not in affiliations {
20 |           affiliations.push(affiliation)
21 |         }
22 |         pos = affiliations.position(a => a == affiliation)
23 |         author.affiliation-parsed.push(pos)
24 |       }
25 |     } else {
26 |       // if author has no affiliation, just use the same as the previous author
27 |       author.affiliations-parsed.push(pos)
28 |     }
29 |     parsed-authors.push(author)
30 |     if "corresponding" in author {
31 |       if author.corresponding {
32 |         corresponding = author
33 |       }
34 |     }
35 |   }
36 |   (
37 |     authors: parsed-authors,
38 |     affiliations: affiliations,
39 |     corresponding: corresponding,
40 |   )
41 | }
42 | 
43 | // utility function to turn a number into a letter
44 | // simulates footnotes
45 | #let number2letter(num) = {
46 |   "abcdefghijklmnopqrstuvwxyz".at(num)
47 | }
48 | 
49 | #let orcid(height: 10pt, o-id) = [
50 |   #box(height: height, baseline: 10%, image("assets/orcid.svg")) #link("https://orcid.org/" + o-id)
51 | ]
52 | 


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/example/example.bib:
--------------------------------------------------------------------------------
  1 | @article{teixeira2015importance,
  2 |   title={The importance of article titles},
  3 |   author={Teixeira da Silva, JA},
  4 |   journal={Biochemia Medica},
  5 |   volume={25},
  6 |   number={3},
  7 |   pages={342--346},
  8 |   year={2015},
  9 |   doi={10.11613/BM.2015.036}
 10 | }
 11 | 
 12 | @book{hartley2019academic,
 13 |   title={Academic writing and publishing: a practical handbook},
 14 |   author={Hartley, James},
 15 |   year={2019},
 16 |   publisher={Routledge},
 17 |   doi={10.4324/9781351130847}
 18 | }
 19 | 
 20 | @article{li2019correlation,
 21 |   title={Correlation analysis of paper title quality and citation frequency},
 22 |   author={Li, Ying and Liu, Xiaojun and Li, Yongheng and Li, Yu and Zhang, Lixia},
 23 |   journal={Scientometrics},
 24 |   volume={121},
 25 |   number={1},
 26 |   pages={287--296},
 27 |   year={2019},
 28 |   doi={10.1007/s11192-019-03169-z}
 29 | }
 30 | 
 31 | @article{moustafa2016importance,
 32 |   title={The importance of the title in research},
 33 |   author={Moustafa, Khaled},
 34 |   journal={Journal of educational and social research},
 35 |   volume={6},
 36 |   number={2},
 37 |   pages={121--126},
 38 |   year={2016},
 39 |   doi={10.5901/jesr.2016.v6n2p121}
 40 | }
 41 | 
 42 | @book{roig2019avoiding,
 43 |   title={Avoiding plagiarism, self-plagiarism, and other questionable writing practices: A guide to ethical writing},
 44 |   author={Roig, Miguel},
 45 |   year={2019},
 46 |   publisher={St. John's University},
 47 |   doi={10.13140/RG.2.2.27024.10245}
 48 | }
 49 | 
 50 | @article{wang2015effects,
 51 |   title={The effects of article title and abstract length on bibliometric indices: A case study of engineering articles in Scopus},
 52 |   author={Wang, Xianwen and Liu, Chunjie and Mao, Wei and Fang, Zhichao},
 53 |   journal={Journal of Informetrics},
 54 |   volume={9},
 55 |   number={2},
 56 |   pages={337--345},
 57 |   year={2015},
 58 |   doi={10.1016/j.joi.2015.02.007}
 59 | }
 60 | 
 61 | @article{west2013role,
 62 |   title={The role of gender in scholarly authorship},
 63 |   author={West, Jevin D and Jacquet, Jennifer and King, Molly M and Correll, Shelley J and Bergstrom, Carl T},
 64 |   journal={PLoS One},
 65 |   volume={8},
 66 |   number={7},
 67 |   pages={66--212},
 68 |   year={2013},
 69 |   doi={10.1371/journal.pone.0066212}
 70 | }
 71 | 
 72 | @article{jacso2005may,
 73 |   title={As we may search—comparison of major features of the Web of Science, Scopus, and Google Scholar citation-based and citation-enhanced databases},
 74 |   author={Jacso, Peter},
 75 |   journal={Current Science},
 76 |   volume={89},
 77 |   number={9},
 78 |   pages={1537--1547},
 79 |   year={2005},
 80 |   doi={10.2307/24114598}
 81 | }
 82 | 
 83 | @Manual{palmerpenguins,
 84 |   title = {palmerpenguins: Palmer Archipelago (Antarctica) penguin data},
 85 |   author = {Allison Marie Horst and Alison Presmanes Hill and Kristen B Gorman},
 86 |   year = {2020},
 87 |   note = {R package version 0.1.0},
 88 |   doi = {10.5281/zenodo.3960218},
 89 |   url = {https://allisonhorst.github.io/palmerpenguins/},
 90 | }
 91 | 
 92 | @misc{tajima2020projectiletrajectorypenguinsfaeces,
 93 |       title={Projectile Trajectory of Penguin's Faeces and Rectal Pressure Revisited}, 
 94 |       author={Hiroyuki Tajima and Fumiya Fujisawa},
 95 |       year={2020},
 96 |       eprint={2007.00926},
 97 |       archivePrefix={arXiv},
 98 |       primaryClass={physics.bio-ph},
 99 |       url={https://arxiv.org/abs/2007.00926}, 
100 | }


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/README.md:
--------------------------------------------------------------------------------
  1 | # APA7 (-ish) Template for Typst
  2 | 
  3 | [Typst](https://typst.app/) template for manuscripts that (mostly) complies with APA7 Style (Work in Progress).
  4 | 
  5 | The template does not follow all recommendations by the APA Manual, especially when the suggestions break with typographic conventions (such as double line spacing :vomiting_face:). Instead, the goal of this template is that it generates you a high-quality manuscript that has all the important components of the APA7 format, but is aesthetically pleasing.
  6 | 
  7 | # Work in Progress
  8 | 
  9 | The following works already quite well:
 10 | 
 11 | - consistent and simple typesetting
 12 | - correct display of author information / author note
 13 | - citations and references
 14 | - Page headers and footers (show short title in header)
 15 | - Option to anonymize the paper
 16 | - Tables: consisting of 3 parts (caption, content, and table notes)
 17 | - figures
 18 | 
 19 | This is still not finished:
 20 | 
 21 | - complete pandoc integration (template for pandoc to replace Latex-based workflows)
 22 | - automatic calculation of page margins (currently margins are fixed and optimized for A4 paper)
 23 | 
 24 | # Basic Usage
 25 | 
 26 | The easiest way to get started is to edit the example file, which has sensible default values. Most fields in the configuration are optional and will safely be ignored (not rendered) when you set them to `none`. For a full example with a figure and a table go to the [github repository](https://github.com/mrwunderbar666/typst-apa7ish) and have a look at `example/example.typ`.
 27 | 
 28 | ## Authors
 29 | 
 30 | The `authors` setting expects an array of dictionaries with the following fields:
 31 | 
 32 | ```typst
 33 | (
 34 |   name: "First Name Last Name", // Name of author as it should appear on the paper title page
 35 |   affiliation: "University, Department", // affiliation(s) of author as it should appear on the title page
 36 |   orcid: "0000-0000-0000-0000", // optional for author note
 37 |   corresponding: true, // optional to mark an author as corresponding author
 38 |   email: "email@upenn.edu", // optional email address, required if author is corresponding
 39 |   postal: "Longer string", // optional postal address for corresponding author
 40 | )
 41 | ```
 42 | 
 43 | Note that the `affiliation` field also accepts an array, in case an author has several affiliations:
 44 | 
 45 | 
 46 | ```typst
 47 | (
 48 |   name: "First Name Last Name",
 49 |   affiliation: ("University A", "University B")
 50 |   ...
 51 | )
 52 | ```
 53 | 
 54 | ## Anonymization
 55 | 
 56 | Sometimes you need to submit a paper without any author information. In such cases you can set `anonymous` to `true`.
 57 | 
 58 | ## Tables
 59 | 
 60 | The template has basic support for tables with a handful of utilities. Analogous to the [Latex booktabs package](https://ctan.org/pkg/booktabs), there are pre-defined horizontal lines ("rules"):
 61 | 
 62 | - `#toprule`: used at the top of the table, before the first row
 63 | - `#midrule`: used to separate the header row, or to separate a totals row at the bottom
 64 | - `#bottomrule`: used after the last row (technically the same as toprule, but may be useful later to define custom behaviour)
 65 | 
 66 | Additionally, there is a `#tablenote` function to be used to place a table note below the table.
 67 | 
 68 | A minimal usage example (taken from the typst documentation):
 69 | 
 70 | ```typst
 71 | // wrap everything in a #figure
 72 | #figure(
 73 |   [
 74 |     #table(
 75 |       columns: 2,
 76 |       align: left,
 77 |       toprule, // separate table from other content
 78 |       table.header([Amount], [Ingredient]),
 79 |       midrule, // separation between table header and body
 80 |       [360g], [Baking flour],
 81 |       [250g], [Butter (room temp.)],
 82 |       [150g], [Brown sugar],
 83 |       [100g], [Cane sugar],
 84 |       [100g], [70% cocoa chocolate],
 85 |       [100g], [35-40% cocoa chocolate],
 86 |       [2], [Eggs],
 87 |       [Pinch], [Salt],
 88 |       [Drizzle], [Vanilla extract],
 89 |       bottomrule // separation after the last row
 90 |     )
 91 |     // tablenote goes after the #table
 92 |     #tablenote([Here are some additional notes.])
 93 |   ],
 94 |   // caption is part of the #figure
 95 |   caption: [Here is the table caption]
 96 | )
 97 | ```
 98 | 
 99 | # Figure Credit
100 | 
101 | Example figure `template/fig1.svg` taken from this study: Tajima, H., & Fujisawa, F. (2020). *Projectile Trajectory of Penguin's Faeces and Rectal Pressure Revisited*. [arxiv: 2007.00926](https://arxiv.org/abs/2007.00926)
102 | 
103 | # Contributing
104 | 
105 | - Feel free to raise an issue in the github repository (e.g., tweaks, feature requests, bugs, etc)
106 | - Pull requests are always welcome!


--------------------------------------------------------------------------------
/src/apa7ish.typ:
--------------------------------------------------------------------------------
  1 | #import "utils.typ": *
  2 | #import "definitions.typ": *
  3 | 
  4 | #let conf(
  5 |   title: "An Intriguing Title",
  6 |   subtitle: none,
  7 |   abstract: none,
  8 |   authors: (),
  9 |   date: none,
 10 |   documenttype: none,
 11 |   keywords: none,
 12 |   disclosure: none,
 13 |   funding: none,
 14 |   anonymous: false,
 15 |   language: "en",
 16 |   papersize: "a4",
 17 |   fontfamily: "Libertinus Serif",
 18 |   text-number-type: "old-style",
 19 |   text-number-width: "proportional",
 20 |   body,
 21 | ) = {
 22 |   // Set the document's basic properties.
 23 |   set document(author: authors.map(a => a.name), title: title)
 24 |   set page(
 25 |     numbering: "1",
 26 |     paper: papersize,
 27 |     number-align: top + right,
 28 |     margin: 33mm,
 29 |     header: {
 30 |       context if counter(page).get().at(0) > 1 [
 31 |         #smallcaps(lower(title))
 32 |         #h(1fr)
 33 |         #here().page()
 34 |       ]
 35 |     },
 36 |   )
 37 | 
 38 |   set text(
 39 |     font: fontfamily,
 40 |     lang: language,
 41 |     size: normal-size,
 42 |     number-type: text-number-type,
 43 |     number-width: text-number-width,
 44 |   )
 45 | 
 46 |   // Set paragraph spacing and leading.
 47 |   // Using Bringhurst's definition of "leading" which is from baseline to baseline
 48 |   // In his terms, the default setting is equivalent to 11/13
 49 |   // Caveat of changing Typst's "leading" definition is that all default settings
 50 |   // have to be set again (that's why there are so many definitions necessary below)
 51 |   set text(top-edge: 1em, bottom-edge: "baseline")
 52 |   set par(spacing: 2pt, leading: 2pt)
 53 | 
 54 |   /////////////////////
 55 |   // Style Definitions
 56 |   /////////////////////
 57 | 
 58 |   // Set Heading styles
 59 |   show heading: it => {
 60 |     if it.level == 1 {
 61 |       v(1em)
 62 |       align(center, text(it, size: normal-size))
 63 |     } else {
 64 |       let wght = "bold"
 65 |       if it.level > 2 {
 66 |         wght = "regular"
 67 |       }
 68 |       v(0.5em)
 69 |       align(emph(text(it, size: normal-size, weight: wght)))
 70 |     }
 71 |     v(1em, weak: true)
 72 |   }
 73 | 
 74 |   // Lists
 75 |   set list(indent: 1em)
 76 |   show list: self => {
 77 |     v(0.5em)
 78 |     self
 79 |     v(0.5em)
 80 |   }
 81 | 
 82 |   // Bibliography
 83 |   set bibliography(title: "References", style: "american-psychological-association")
 84 | 
 85 |   // Tables
 86 |   set table(stroke: 0pt)
 87 |   show table: tbl => {
 88 |     set block(spacing: 0.5em)
 89 |     set text(number-type: "lining", number-width: "tabular")
 90 |     tbl
 91 |   }
 92 | 
 93 |   // Figures
 94 |   show figure: set block(above: 2em, below: 2em)
 95 |   set figure.caption(position: top)
 96 |   show figure.caption: self => [
 97 |     #align(left)[
 98 |       *#self.supplement*
 99 |       #context [*#self.counter.display(self.numbering)*] \ #emph(self.body)
100 |     ]
101 |     #v(0.5em, weak: true)
102 |   ]
103 | 
104 |   // Footnotes
105 |   set footnote.entry(gap: 2pt)
106 |   show footnote.entry: it => {
107 |     set par(leading: 1pt)
108 |     set text(size: footnote-size)
109 |     it
110 |   }
111 | 
112 |   // Links
113 |   show link: set text(number-type: "lining", number-width: "tabular")
114 | 
115 | 
116 |   /////////////////
117 |   // Make Title Page
118 |   /////////////////
119 | 
120 |   align(center)[
121 |     #if documenttype != none [
122 |       #smallcaps(lower(documenttype)) \ #v(0.2em)
123 |     ]
124 |     #text(1.5em, title) #v(0.4em, weak: true) \
125 |     #if subtitle != none [
126 |       #text(1.2em, subtitle) \
127 |     ]
128 |     #v(3em, weak: true)
129 |   ]
130 | 
131 |   let authors-parsed = parse-authors(authors)
132 | 
133 |   // List Authors
134 |   if not anonymous {
135 |     let chunked = authors-parsed.authors.chunks(3)
136 |     pad(
137 |       top: 0.3em,
138 |       bottom: 0.3em,
139 |       x: 2em,
140 |       {
141 |         for chunk in chunked {
142 |           stack(dir: ltr,
143 |                 spacing: 3em, 
144 |                 ..chunk.map(author => align(center)[#author.name#super[#h(1pt)#author.affiliation-parsed.map(pos => number2letter(pos)).sorted().join(", ")]]))
145 |           v(1.5em)
146 |         }
147 |       },
148 |     )
149 | 
150 |     v(1em)
151 | 
152 |     align(center)[
153 |       #for (idx, affiliation) in authors-parsed.affiliations.enumerate() [
154 |         #context super(number2letter(idx))#h(1pt)#emph(affiliation) \
155 |       ]
156 |       #v(1em)
157 |       #date
158 |       #v(2em, weak: true)
159 |     ]
160 |   } else {
161 |     align(center)[
162 |       #date
163 |     ]
164 |   }
165 | 
166 |   // Abstract & Keywords
167 |   set par(justify: true)
168 |   if abstract != none {
169 |     heading(outlined: false, numbering: none, text(normal-size, weight: "regular", [Abstract]))
170 |     align(center)[
171 |       #block(
172 |         width: 90%,
173 |         [
174 |           #align(left)[
175 |             #abstract \
176 |             #v(0.5em)
177 |             #if keywords != none [
178 |               #emph("Keywords: ") #keywords
179 |             ]
180 |           ]
181 |         ],
182 |       )
183 |     ]
184 |   }
185 | 
186 |   // Author Note
187 |   if not anonymous {
188 |     heading(outlined: false, numbering: none, text(normal-size, weight: "bold", [Author Note]))
189 | 
190 |     // ORCID IDs
191 |     for author in authors-parsed.authors {
192 |       set par(spacing: 0.4em)
193 |       if "orcid" in author [
194 |         #author.name #orcid(author.orcid) \
195 |       ]
196 |     }
197 | 
198 |     // Disclosures and Acknowledgements
199 |     v(0.5em)
200 |     if disclosure != none [
201 |       #disclosure \
202 |     ] else [
203 |       We have no conflicts of interest to disclose. \
204 |     ]
205 | 
206 |     if funding != none [
207 |       #funding \
208 |     ]
209 | 
210 |     // Contact Information
211 |     [Correspondence concerning this article should be addressed to
212 |       #authors-parsed.corresponding.name, ]
213 |     if "postal" in authors-parsed.corresponding [ #authors-parsed.corresponding.postal, ]
214 |     if (
215 |       "email" in authors-parsed.corresponding
216 |     ) [Email: #link("mailto:" + authors-parsed.corresponding.email, authors-parsed.corresponding.email)]
217 |   }
218 | 
219 |   pagebreak()
220 | 
221 |   // Main body.
222 |   set par(first-line-indent: 2em)
223 | 
224 |   body
225 | }
226 | 


--------------------------------------------------------------------------------
/example/example.typ:
--------------------------------------------------------------------------------
  1 | 
  2 | // #import "@preview/apa7-ish:0.2.2": *
  3 | #import "../src/apa7ish.typ": *
  4 | 
  5 | #show: conf.with(
  6 |   title: "A Title is all you need",
  7 |   subtitle: "The impact of a good title on a paper's citations count",
  8 |   documenttype: "Research Article",
  9 |   anonymous: false,
 10 |   authors: (
 11 |     (
 12 |       name: "Klaus Krippendorff",
 13 |       email: "email@upenn.edu",
 14 |       affiliation: "University of Pennsylvania",
 15 |       postal: "Department of Communication, University of Pennsylvania, Philadelphia, PA 19104",
 16 |       orcid: "0000-1111-1111-1111",
 17 |       corresponding: true,
 18 |     ),
 19 |     (
 20 |       name: "Ashish Vaswani",
 21 |       affiliation: ("Google Brain", "University of Pennsylvania"),
 22 |       orcid: "0000-1111-1111-1111",
 23 |     ),
 24 |     (
 25 |       name: "Niklas Luhmann",
 26 |       affiliation: "University of Pennsylvania",
 27 |       orcid: "0000-1111-1111-1111",
 28 |     ),
 29 |   ),
 30 |   abstract: [Title of a scientific paper is an important element that conveys the main message of the study to the readers.
 31 |     In this study, we investigate the impact of paper titles on citation count, and propose that the title alone has the highest impact on citation count.
 32 |     Using a dataset of 1000 scientific papers from various disciplines, we analyzed the correlation between the characteristics of paper titles, such as length, clarity, novelty, and citation count. Our results show that papers with clear,
 33 |     concise, and novel titles tend to receive more citations than those with longer or less informative titles.
 34 |     Moreover, we found that papers with creative and attention-grabbing titles tend to attract more readers and
 35 |     citations, which supports our hypothesis that the title alone has the highest impact on citation count.
 36 |     Our findings suggest that researchers should pay more attention to crafting effective titles that accurately
 37 |     and creatively summarize the main message of their research, as it can have a significant impact on the success
 38 |     and visibility of their work.
 39 |   ],
 40 |   date: "May 16, 2024",
 41 |   keywords: [content analysis, citation, bibliometrics],
 42 |   funding: [This research received funding by the Ministry of Silly Walks (Grant ID: 123456).],
 43 | )
 44 | 
 45 | = Introduction
 46 | 
 47 | Title of a scientific paper is an important element @teixeira2015importance that conveys the main message of the study to the readers @hartley2019academic.
 48 | In this study, we investigate the impact of paper titles on citation count, and propose that the title alone has the highest impact on citation count (#ref(<penguin>)).
 49 | 
 50 | #figure(
 51 |   image("fig1.svg", width: 50%),
 52 |   caption: [Configuration for a penguin trying to defecate towards his/her rear side.
 53 |     A penguin stands on the rock with the height $h$ from the ground.
 54 |     We parameterize the ejection angle $#sym.theta$ with the initial velocity $\bm{v}=(v_{0x},v_{0y})$ We estimate a flying distance $d$ of the faeces from the origin $O$. Source: #cite(<tajima2020projectiletrajectorypenguinsfaeces>, form: "full")
 55 |   ],
 56 | ) <penguin>
 57 | 
 58 | Using a dataset of 1000 scientific papers from various disciplines, we analyzed the correlation between the characteristics of paper titles, such as length, clarity, novelty, and citation count @li2019correlation. Our results show that papers with clear,
 59 | concise, and novel titles tend to receive more citations than those with longer or less informative titles @west2013role.
 60 | Moreover, we found that papers with creative and attention-grabbing titles tend to attract more readers and
 61 | citations, which supports our hypothesis that the title alone has the highest impact on citation count (see this link: #link("https://example.com/")).
 62 | Our findings suggest that researchers should pay more attention to crafting effective titles that accurately
 63 | and creatively summarize the main message of their research, as it can have a significant impact on the success
 64 | and visibility of their work.
 65 | 
 66 | #figure(
 67 |   [
 68 |     #table(
 69 |       columns: 9,
 70 |       align: (x, y) => if x == 0 { left } else if y < 2 { center } else { right },
 71 |       toprule,
 72 |       table.header(
 73 |         [],
 74 |         table.cell(colspan: 2, [Adelie]),
 75 |         table.cell(colspan: 2, [Chinstrap]),
 76 |         table.cell(colspan: 2, [Gentoo]),
 77 |         [$ F(2, 339) $],
 78 |         [$ eta^2 $],
 79 |       ),
 80 | 
 81 |       [Measure], [M], [SD], [M], [SD], [M], [SD], [], [],
 82 |       midrule, [Body mass (kg)], [3.7], [0.46], [3.73], [0.38], [5.08], [0.5], [343.63\*\*\*],
 83 |       [0.67], [Flipper length (mm)], [189.95], [6.54], [195.82], [7.13], [217.19], [6.48], [594.8\*\*\*],
 84 |       [0.78], [Bill length (mm)], [38.79], [2.66], [48.83], [3.34], [47.5], [3.08], [410.6\*\*\*],
 85 |       [0.71], bottomrule,
 86 |     )
 87 |     #tablenote([N = 344. \*\*\*p < .001. Data source: #cite(<palmerpenguins>, form: "prose"). For details see: https://allisonhorst.github.io/palmerpenguins/])
 88 |   ],
 89 |   caption: [Means, Standard Deviations, and One-Way Analyses of Variance of Penguin species observed at Palmer Station in Antarctica],
 90 | )
 91 | 
 92 | = Literature Review
 93 | 
 94 | == Penguins in Academia
 95 | #lorem(120)
 96 | 
 97 | #lorem(50)
 98 | 
 99 | #lorem(80)#footnote[Here is a footnote.]
100 | 
101 | #lorem(100)#footnote[Here is another footnote.]
102 | 
103 | == Citations of catchy titles
104 | #lorem(50)
105 | 
106 | #quote([#lorem(30)], attribution: [#cite(<jacso2005may>, form: "prose")], block: true)
107 | 
108 | #lorem(50)
109 | 
110 | = Data & Methods
111 | #lorem(20)
112 | 
113 | - Quod idem licet transferre in voluptatem, ut postea variari voluptas distinguique possit, augeri amplificarique non possit.
114 | - At etiam Athenis, ut e patre audiebam facete et urbane Stoicos irridente, statua est in quo a nobis philosophia defensa et collaudata est, cum id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non recusandae.
115 | - Itaque earum rerum defuturum, quas natura non depravata desiderat. Et quem
116 | 
117 | #lorem(18)
118 | 
119 | - Quod idem licet transferre in voluptatem, ut postea variari voluptas distinguique possit, augeri amplificarique non possit.
120 | - At etiam Athenis, ut e patre audiebam facete et urbane Stoicos irridente, statua est in quo a nobis philosophia defensa et collaudata est, cum id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non recusandae.
121 | - Itaque earum rerum defuturum, quas natura non depravata desiderat. Et quem
122 | 
123 | 
124 | = Results
125 | #lorem(320)#footnote[Here is a long footnote. #lorem(30)]
126 | 
127 | #pagebreak()
128 | 
129 | = Declaration of Interest Statement
130 | #label("declaration-of-interest-statement")
131 | The authors report there are no competing interests to declare.
132 | 
133 | #pagebreak()
134 | 
135 | #bibliography("example.bib")
136 | 


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348 |                transform="matrix(1,0,0,-1,0,1)"
349 |                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BBOHz4sLMFEhE5oEePHli3bh3atm3rdClERBRhDPsoprmle69500z07tQVvTp2Rd+uPZCalKIK4mTDIE4f9NVlCW8osJPDCvrqs4S3qLgYL7zwAioqKmo/BXXYd6AwH8dLzjny74NiVV8Aj8LOvpOyLOGTT0bhJz/pFPWqKD4UFJShefNkJCSou0Y3btyIq6++Gl6v16HKiIicc/HFFyM3NxctWtgbiEVERLGBy3gpppSWlmLjxo2u6N7r0qYDenbojIu69kLrFtmGk3MlxT/N1LmrT7scOCJCo3eNAsHly5cbBn1++HGqjBveUziaAPgp7H4fP/vsIAZ9FJZWrVKFj1955ZX4r//6L8yYMaOBKyIicl5eXh5+8pOfYNWqVWjatKnT5RARUYSws49cT9m9t379ekXA1LCyMpqhR/tO6NmhC3p16lq7954c7MrziLrrTLv6ojuYw2ypbn27+s6eO4ff/e53ik4Yddh3trwY3539wZF/TxSrfgrgCltHDh/eAZ99NgYeDzfqo8ioqqrClVdeia1bt2qeyQZwFoDPgaqIiBrOFVdcgc8++wzp6dwag4goHrCzj1zHTd17HVu1Rff2nZHTsStat8hWBXnKUE1WdNcp4wfzrj6zwRyCo02DOvO9+iLJD+DTTz/VLXlTDeYo42AOCkd3AENsHZmZmYw33xzOoI8iKjExEXPnzsVll12GsrIyAB4AwwHcBGAhgFwnyyMiirpNmzbhtttuw+LFi5GSkuJ0OUREVE8M+8gV3NK9l5neFN3adUS3dh3Rq0NnJCUm13bGGcR2YeQNdjrrzLr6oknY1WfQ2Xf23Dls3rxZcba6Odjr9+FMeXFU66V44gFwN+z+x/T669egU6eMqFZEjVPfvn3x3HPP4emn/46a78k2tc+MArADwHnHaiMiaggrV67E+PHj8cEHHyAhgT8mEhHFMv4uTo5wS/degseD9i3boGvt/nsts1ooOvdq9t4LRRDW3XSqzjrN0A11lFF7vz4ZnuJcqz39LJfvivghrG/ZsmWmG9mfLiuCz88lb2TX9QiFKuZuv7077r67Z3TLoUbr/PkKHDt2BYB0qH/zSwEwDsDfHKmLiKghLVy4EJMmTcK8efMgy7L1CURE5EoM+6jBuKV7r1l6Bjq3aocubduje7tOSEpMEi7NFYV2AeJ4TBvnGR8pPDucvfo0oWPkiBO+wLVOnT6NLVu2aI5X9/bllxVGsB6Kb81RE/ZZa9cuDXPmXBvVaqjx+te/9uLxxz9Hfn4pxL9vX4KaadE7G7YwIiIHvPPOO0hLS8Nf//rXiG8HQ0REDYNhH0WNm7r32rVohY6t26Fb2w7IbtYcsqzu3gMAmIZ5+s480c+DRl19+sEcgtAunDcV5p+7wh7MoVnCG7B8+XL4fMZdexXeKhRWlIZXHDViwwEk2jry1VevRvPm3EOIIsvvB2655RMsXnzYxtFjAewGh3UQUWMwZ84cZGVlYebMmU6XQkREdcCwjyLKLd17TdPS0aFlG3Rs2QZd2rRXde+FRmmofw2wGnghXrYrq/bVi+RgDnVd4Q3mqPOADkGD36lTp7Bt2zbhoQEczEHh+RjAOQA/AZBqeNTo0V0wdmy3hiqKGhFJAgYNamUz7GsDYBiAddEtiojIJV566SVkZ2fj17/+tdOlEBFRmCS/3++3PoxIzE3de62yWqB9dmt0bdMezZtmhZbmyspArHaarlzT1ad6XFaGeLXPyer7weNlbcgmq0NAWb0cV11LqAY7gzmEAZ6sPr4++/VJwfdjPphj3ltvYevWrYpPXb+Ed3vBIZRUOxPwUixrAuA6yPJI+HzqlLlJkwTk5d2Nrl2bOlMaxb3KSi8GDHgPu3ads3F0MYDnAZRFuSoiIneQJAl///vf8cADDzhdChERhYGdfRQ2t3TvpaemoV2LlmiX3RodW7ZBcmJSbYhn0ckmeloye1qzgDfMwRzK5yI9mENdV92CPmg/L0FXX35+vrCrT6m4qpxBH9VRKTIyVuOTT/4HM2fuwdKl3wef+d3vfsSgj6IqKcmDN964Fj/+8cew/uvPdAA3AFgQ/cKIiFzA7/dj8uTJyMzMxNixY50uh4iIbGLYR5bc0r3n8XjQslkW2jRviY4t2yIzPQOyHOqoUwou0ZWUC2prgjZV556wg07d1acN7vTqN5hDeWZ4QZ36PUTTsuXLoW4C1nf1FZRyMAfV3bPPPourruqJq67qiRUrjuJXv/oc1dU+TJnS3+nSqBG45pp2GD++J959d5+dowHkAjgf3aKIiFzC6/ViwoQJ+PTTT3HVVVc5XQ4REdnAZbwk5JbuvbSUVLTKbIE2zbPRrkVrJCUmQJJkeGQ5uFQ2FNgJHtMu4dUsy9U/rg37NMtzJTnYuSdawisr6hIvr3VuCW/gs9B29dXcNl7Cm5+fjxkzZ5qGfX748eXJA6jyVTf49wjFvq5du2Lnzp1ISQkN4PB6/Th2rBidOmU4WBk1Jt9/X4ScnHdQXu61cfQ6APOjXRIRkas0a9YMubm5GDBggNOlEBGRBXb2EQD3dO/JsowWGc3QMrMF2me3QrO0jFCgpQjuAkJDNgTTcSXtMepfdS8SeCWDAM1o2a5qma5pg139l/BaTfk1Xa5rh2AJ79KlS2H1dwLnyksY9FGdPf/886qgDwA8HolBHzWozp0z8NhjAzBjhvmWBTWuBLACNQNmiIgah8LCQtx8883YsGEDunbt6nQ5RERkgp19jZhbuvdSk1PQslkWsptmoXXzbCQlJAS77UIdeOquvED4p+zqCwzdkIMddnYGc6g73qI1mCNwrEeWXTWYA4quPlmWdV19x48fx8v/8z+WS3h3nzuOU5zES3XQs2dP7Ny5EwkJ/Lsncl5xcRV69XobJ06U2jh6PYD3ol0SEZHr9OzZExs2bECrVq2cLoWIiAzwp6tGxDXde5KMzPQMtGiaidZZLZCemhYM6Go60KTg3nqhkE0Tvmkn58raQRgCwu329F2CxidItfUbhHIWXXeWg0OsWM0dqVPQFwr7RF19n332mWVXn9fvw5ny4vq9N2q0nn/+eQZ95Brp6Yn4zW8G4xe/WGvj6EB339koV0VE5C779u3DTTfdhDVr1iAjg134RERuxM6+OOeW7r2UpGQ0z2iGrIymaNk0CwkJiaEOPEWHnXIPPaOuPkl7nirsC3T2KbvulF19ig47UXegoqtPvR9gbTedXPeuPu1efaLOPlnXORjtrr5Q2Kft6jt16hT+e8YMQdjnV3X15ZcWYu/5Ew357UQxqSeAagCHgo/07dsX3377LWRZdqwqIq3KSi969nwHR44U2Tg6F8AHUa6IiMidrr32Wixbtky3FQcRETmP7RRxxk3dexlN0pCZ3hQtmjZDekoTdUgHqLrIJPXue4rH9ZSTdtWhmawLz/Rfge5B7VWNr2NajOg8m2GbqNYwLhM206BPEPatXr1aGPRp5XMKL1mSANwBoD2AgwBWA/gazz33HIM+cp2kJA+efXYQHn4418bRQwB8AqAsukUREblQbm4uxo8fjw8++IBd+kRELsPfleOAW7r3khIS0SwtHc3SMpCV3hQJHk+wcw6o+XFfGWSZLYFVhXWCJbyh17QaioFgsGg1mEP5kD4s1HfTGdWve+kIDOYIDhsRdg3a7OQzo1nCW1hYiC1btliWVemtRmGlnb2tqHHLQU3QBwDdAHRDQkIhjh/vhZKSKqSlJTpYW8MrKyvD3r17g19Hjx5FYWEhSkpKUFxcjAsXLiAjIwPp6elIS0tDs2bN0KFDB/Tq1Qu9e/dGr1690KRJE6ffRly7//4+eOml7Th40Gov0hQAw1CznJeIqPFZuHAhfvGLX2D27NlOl0JERAoM+2KQe7r3JDRJTg128DVJTtEMzqhdUiuFlswql92GOus0AZkqmBN1+omDK2XHX6A+dWinGcxhslRW9Lriq1nXpTvTKNS0EeJFtu9PnfApr5Obm4tqr1dwvLq3L7+MXX1kx3DdI9XVzfD44xvx+99vxyOPXIz/+I9+aNMmPgOsM2fOIDc3F2vWrMHq1auxe/duy70wzUiShF69euHHP/5x8Ktly5YRrJgSE2U888wgPPTQGhtHX4OablXt75lERI3DnDlz0KpVK/zud79zuhQiIqrFPftihFu69xITEpGWnIL01DQ0TUtDguyBco899T586scDIWBoD77Q8YEQUDkxt2ZfPc3+fbImRJT1S3h1U3i1+/2pAklJFQqq9/pTnCerwzhZ9oSOkTWvoVuuKxoqEkbYp+p6NN+vTzlZ2DAwDN4W79VXVlaG559/HuW67zF92Le94BBKqp35XqRY0Q7A07AKqps0ScAPP0xCVlZyg1QVbWfOnMG///1vvP3229i8eTN8Pl/UriVJEgYNGoQJEybg7rvv5nTECKms9KJr17dw/HiJjaPnAdgc7ZKIiFzt1VdfxX/8x384XQYREYGdfa7lpu695KRkNElOQXpKE6QkJakCOKBmoG2oK0+xH56kWA6rCABFwZY6OAvtq6dffSqZRgaB47V78el+FXTXiQI08bJd2Xa3YWj9rUnRuvdgFNRZD+aIhHXr1gmCvhrKoK+4qpxBH9kwDHb+Axg9umtcBH3Lly/H7NmzsXTpUlRWVjbINf1+P7Zu3YqtW7fiiSeewA033IDJkydj1KhREft9oTFKSvLgl7/sj6ef3mTj6KvAsI+IGrupU6eibdu2uP32250uhYio0WNnn4u4pXsvweNBSmIyUpKSkZqcgsSEBFXHXk1nnnpSrizq0lN15Gm78bTdf8bPqbv+Ql13Htmj68TTdfVpAkT962q7+hSdeIHndRNyzafwelTddfopvGF19anOjcAU3mBt4sEcVVVVeOGFF1BUXKz5rtB39R0szMexknMN9n1JsSgJwO8BpFoe+eWXd+Dyy1tHvaJo8Pv9WLJkCV588UVs3uyewOfiiy/GE088gXvuuYcbp9fRuXMV6NRpLoqLq2wc/d8Ajke7JCIiV0tJScHKlSsxdOhQp0shImrUOAbRQaWlpVi5ciWmTp2Kzp07o3v37vjP//xPrFy5ssGDvqSERKSnNkHLZs3ROjMbWRlNkZaSigSPrBmsob4lmHEhmLSrphrSoQmyrAZzKJfG2uqWszVmV//+zLrpzAaLBAaHBF4rUoM5gnfrE/SJOnw0Uf+mTZtQrAv6RKf5caqsqB5vjBqHgbAT9F19dbuYDfo++eQTXHzxxRgzZoyrgj4AyMvLw3333YeLLroICxYscLqcmJSVlYwHH+xr82j+YEtEVF5ejltuuQV79uxxuhQiokaNYV8DO3jwIGbNmoXrrrsOzZs3x3XXXYc///nPDb5MV5bkYMCX3TQTmWkZSE9pgkSPxyDBk0LhnmYNq7ITT935JljCq+nEU72cjcEcZtmd+vWUgzjMBnPog0RdXcKrqesKh6irz/qr9viwrhQer9eLtWvXavM/iLr6zpWXoNJXHcVqKD5caeuoqVMviXIdkXfs2DFMnDgRo0aNws6dO50ux9TevXtx2223YeTIkdi9e7fT5cScKVP6Q5bt/O57OWq6WYmIGrczZ87gxhtvRH5+vtOlEBE1Wgz7osxN3XuyXBPwNUlJQXpqEzRJTkFSQqIihAuFYbJiqav2SxvuBYg6+PSBneJ+8FxRsFdbs8lwC/20XU1gJ0wGjevVh4kGr1Fbu6irz2pZrrrzz/izqSvTrr7gbfFx27Ztw9mzZ21dp6DsQoQqpvjVFkA366PaNsGYMV2iXk2k+P1+/PGPf0Tv3r3x1ltvOV1OWFatWoWBAwfiv//7v+HVTdsmI926NcV113W0cWQqgEujXQ4RUUw4dOgQbr75ZlsrRoiIKPIY9kWBW7r3gJoBGwkeD1KSkpCSmISkhEQk1E6SDexvpyLpO9ekYAgm6Q7VDuaQagdzBHveNIM5zAIx1V55sn7ZqSqmMyjbajCH+pzwB3PoOxIjN5gjVJfxEuGwl+maUbTq+f1+rFmzxs6h8Pp9OFPOP7iRlcttHXX//X2QkBBAE5yOAAAgAElEQVQb/ys6ffo0Ro0ahV//+tcoKbEzodV9ysrK8Oyzz2LkyJE4fpz7y9n1s5/ZXcr7o6jWQUQUS7Zt24a77roL1dVcDUJE1NBi4ycsl3NT955SYJBGzdRc8YZ6EgKhnWKZrupZKPbOk4R77JmFZapXqv2HMCQTLR1WVyF8TDzswui2OjDTXk4w+LfOxB2R1jWJA7vILd416urLy8vDyZMnDZfwKp0uK4LP74tYTRSPJNTs12dOlqUw9kNz1rp16zBgwAAsXbrU6VIiIjc3FwMGDMDy5cudLiUmjBnTFW3aNLFxZA8AzaJdDhFRzFi6dCl+8YtfOF0GEVGjw7CvjtzUvWdI2WFnuORVH4yFJukqwyf1klurJbuwuB/sxJMEnX8WgzmU983fu/Yx8yW82vvGHX42uu6MK7PH7K3Z6PAzWsIbpMnwVq9ebbu0gtLCMN8MNT5dAbSwPGrEiA7o1q1p9Mupp7feegsjR47EsWPHnC4lok6dOoVRo0bhr3/9q9OluF5iooz77+9j40gZXMpLRKQ2Z84c/P73v3e6DCKiRoVhn01u7d4zEthXL7hcF1B/SZLivqi1TbEsF6rcMPh08DlZ0eUnKwJE2WhwRyggC71W6IWt99JTl6tdVht4XDuYQxRyivYl1HYlCj6ceizhVYavdr707yHSDhw4gMOHD9sazFHprUZhZWnEa6B4M8jWUfbCE2fNmjULkyZNQlVVldOlRIXX68Wjjz6Kp556yulSXO/++3NsHmnv+5+IqDH57W9/G3N73RIRxbIEpwtws4MHD2Lx4sVYsmQJ1q9f78pQz5BhOqZL7AAgFAxqB3NouuqEQzEsLq29bOgMSVuN7p7xEmHrabbaKkz377N8QHBOGJ11Rkt1Ix/d6etC8LbiOYSeX7t2re3Xzi8tFISCREoy7CzhTUtLdP1gjieeeAJ/+MMfnC6jQbz00ksoKirCa6+9FpW/VIgHPXtmYtCglti27ZTFkV0BZAM43QBVERHFBr/fjwcffBCtW7fG9ddf73Q5RERxj2GfQmlpKTZu3IjFixdjwYIF7lqSGwZtcBe8HQidZH1QBkkftRnFY5JqMEfgF6n2JdQdgTXH65fAGg3mUO4PKNVeSBUNGvwMqqpUdJiga1G0h57RMBHREl7hSwfed31+Vtbsq2dnMIdxyCngD9V39uxZfPfdd7ZLO8UpvGSpO4AMy6PGjOmCtLTE6JdTR7/5zW8aTdAX8Prrr0OSJLz22mtOl+Jad9/dy0bYBwCXAFgV7XKIiGJKVVUV7rjjjuA+uEREFD2NfhlvTOy9FzajfrnQ4tOapbzmgzkCoZkEmAzmMBg2odh3L5B+CZe+akI4cbXG71CWzQdzyCaBmeFqW4sHzJfw1h4jDOvMB3PoA7tIdteE+vGU11m3bh18Pp+tJbzFVeUoqY6h7lZySD9bR919d68o11F3r7/+eqPdW+gvf/kLXnrpJafLcK277uoBWbbze/PFUa+FiCgWFRUV4eabb8b333/vdClERHGt0XX2Kbv3Fi5cGJ//ozFYrivaC04dPqkHcyiPi/RgDlXfoK6LzngwhzZgFL937WNmy2aNqxUGcRaDOcT7/YUhwsuHEbwd2KcxdIHy8nJ8+eWXtksrKGVXH9lxkeURWVnJuOGGjg1QS/jeffdd/PKXv3S6DEc9/fTTaN26NSZNmuR0Ka7ToUM6hg1ri3Xrjlsc2R1AEwDc45SISOv48eMYNWoU1q9fj8zMTKfLISKKS40i7IvpvffCFFrCKymW8NaGUFAP5gi1tolHYmiX6gZuhx4PdaCZD+YwWBIr13b+aV9OVYWxwPGS5ljlr/oAzHhoh3B4SBjdhuaDObS1WwV1xnVGyubNm1FeXm64B59fddvPJbxkQ0sArS2PGj26C5KSPNEvJ0x5eXl46KGH4PP5nC7FUX6/H5MnT0ZOTg6GDBnidDmuM3ZsNxthnwygL4CtDVAREVHsycvLw9ixY7F8+XIkJSU5XQ4RUdyJy2W8ysm5Xbp0cf3k3MgSLOE16vSDYpmuYnmuehmuaDCHYv8/RQAl7JHT7OMHzS3ls4bvQhXGyYbLYkVdi4Y7D9pewmvMTmedYa32L1Mnwq4+zb+v9evXG5ytj//OV5Si0lcdxYopPthbwjtqVJfollEHJSUluPPOO1Fayk4soGZfpQkTJqCwsNDpUlxn9OiuNo/kUl4iIjNr1qzBww8/7HQZRERxKW46+w4ePIiVK1di8eLFWLFiRSMI9fRC3XyyoqNPOfxCFI7JwfBHCgaA4j3jJH1Cp8sRjRbFipbAqgIwxR5/umNNBnOoriNcwqu/o1zUa9VNJxrMIQ7spIgM5gjeNOjqs718V0QxmCMvLw+nT9ufFJlfyh/4yQ7rJbyJiTKuv75TA9QSnp///OfYtWuX02W4yoEDB/DQQw/h/fffd7oUV+nWrSn69MnCrl3nLI7si5rfdDnDnIjIyD//+U/k5OTgySefdLoUIqK4ErNhX6PYey9sqrRI9aj+SxROhRK84FLf4ErfQBBm1OWnXsIb2GMv8LyuQkkTuumqEHe/KcPD4HtTLRe2HsyhDO0En5z481TUZZcw1LQV4kWy4VaR8CnqWrduXfBZ/fHqx71+H86UF0ewJopPCQC6WR511VXt0KyZu5brvP/++5g3b57TZbjSBx98gLfeegv33nuv06W4yqhRXWyEfU0AtAfwQwNUREQUu55++ml07twZ48ePd7oUIqK4EVPLeA8ePIg5c+Zg9OjRqsm5DPpqiVrLlMtoA8GTrA6eAoM5xF1u6rBO9bIWj2mX4gYe1QZ72qDOzmAOXRebsCCzME/fmSd6DaOuPqPBHHVeqhtmR6BlZ5/Jc8eOHcP+/fttX+t0aRF8/sa9hxnZ0QVAouVRblvCW1RUhMcee8zpMlztiSeewPnz550uw1Xsfx+7d+o0EZFb+P1+PPDAA2ENjiMiInOuDvtEe+89/PDDWLJkSaNcpmtGPJhDsZxXlgX70+k71yRlCKZpFJQ050mQam+GlgmbhXLCibuSpC1De2n9c5p8z+jXmmONl+iK6wodr+9INKrKJHA0fR/irj473X9hU7TqrV271u6hAICCMi7hJTt62jrq+uvdNYV3+vTpOHbsmNNluFp+fj5++9vfOl2Gq1x5ZRtkZFiH20CPqNdCRBQPysrKcOutt+LIkSNOl0JEFBdcF/axe6+ubGyoh0BoJ6mW9AYOVnawyZrgS71kVx+W6SoJhICa2gyXDqvuqR8zH8xhfFvUkRiJwRyq0wzCOKPBHNqhJtHgD9alr6+kpAQ7duwIHqc/U63SW43CSg4sIDusO5hatkxF377NG6AWe/Ly8vDnP//Z6TJiwhtvvBH8vYOAhAQZQ4e2tXFkD9RvM1ciosbj5MmTuOmmmzgciogoAhwP+9i9FyHKDjttyCSbBWNysBNQv+hV0gSCMAzLzJfwQnfNYPBlMpgjsITX3ns3fsxsEbJRN53ZYA51YCdFdDCH6mGL7j7bnX+KDG/Dhg2oqqqyXVp+aSG3licbElGzjNfcNde0E3byOuWFF15AdTWnTNvh9Xrx/PPPO12Gq1x7bXsbRwX27SMiIju+++47/PSnP4XX63W6FCKimObIgA5Ozo0sWdtxB/EwDkU0ZdBdpwj3NI2CErT75gX2+VMP5gjtCSirAzPVa0F1PTXRY+LBHMF6FWGheDBH7XO6fQnF16rvYI7geQbLmY2/1O8h0qqrq7Fx40YA9gZzAMCpsgsRr4PiUQfY2a/PXjjSMPbv34+PPvrI6TJiysKFC/Htt9+iX79+TpfiCtdc087mkd3AIR1ERPZ98skn+NWvfoVXXnnF6VKIiGJWg4R9nJwbZYbpmC6xUy3R1Q3m0HTVafffE11K2/mne15SB4ni4yTDMM5sD8BAzWYfSF0HcyjrN+rqE903C+siHd8JO/qCtxXP136+O3bsQFFRke3XL64sR0k1g3iyo5Oto9wU9r344ovsGgiT3+/HjBkz8K9//cvpUlxh0KBWSE9PRHGxVbd05waph4gonsyaNQu9evXCz3/+c6dLISKKSVFbxsu99xqGNrgTDubQLu+U9J1rUjAEE+3xpzgwcKwyTAx0E9oIxGTB8mL9IIzaSM5gbbDZQA79A9ahnNlt8zW6RhsA2mO1RDispbpGFK16n3/+eVj1FbCrj2yzDvuyspJds1/fsWPHGFjV0fz583H48GGny3CFxEQZl1/e2saR7hpKQ0QUK6ZMmYIlS5Y4XQYRUUyKWNjHvfecYj2YoyaIUy/nFZ+D4DRf5bJSSdDlJwymEArHhH2A2hBO95R4+ax2qa6kq8VsCa/6/ZkHg0Y1GDMOEC0+K11YF8m+P7+uthMnTgSDdjtLeP3wcwkvhcE67Lvsslbav2dwzDvvvBPW3pUU4vV68dZbbzldhmsMHtzKxlFtAaREuxQiorjj9Xpxzz334JtvvnG6FCKimFOvsI/dey6gDfaES171jyk7AZXHBV5UHwrql+zC4n7oB3tB55+NwRyWXWzCFbzmS3hF9+symEPbkVgnFqfb7fDTL+GtvV+Prr7z5aWo9HFwAdmRBMC6u+myy+yEIg3j7bffdrqEmDZv3jz4/RzdAwCDBrW0cZQEDukgIqqboqIijBkzBvn5+U6XQkQUU8Las49777mLerluaKJu8EtxX7nkVkvV8afb5k+xVDfQ5Wc0mEPVBagJyGQp9FphDOYIPqvqzFO+UuCzEAVgxoM51BN1oXk19bUMKhKdIqjbTlCnnwZse5muDRUVFdi2bRsAUVcfhI/nlxVG7PoU7zrAzt8bDRxoJxSJvu3bt+Pbb791uoyYtn//fnz55ZcYMmSI06U4zn6I3RHAgWiWQkQUt77//nvceuutWL16NVJTU50uh4goJliGfZycGyvES3iDgzlqHw3s6afq+LMYzBEIFAVXU9+XlPfFwZ6wGQ9Gy2Flw2Wx2qBMf1XDT8i8GNF5NjvrRLWGcZmwibv69IM5tm3bZvLfrT7+8/p8OFteHKWqKf60tXWUWzr73nvvPadLiAv//ve/GfYB6Nq1KbKzU3D6dLnFkfb+OyEiIrEvvvgC999/P959992I/qU4EVG80oV97N6LDaFuPkV3nzIckwXhmBzqvpGCAaA4Hgs8r3xKH+ipzzJfAisazKEIG4OvKRmmY6pKRYdJ+jvBc3Rhob6bzqh+wadjPrfDjmDDpODaNr9M+UPX2LRpU1ilnS4vgtfvC/89USNlvYQ3KysZXbpkNEAt1lauXOl0CXFh1apVTpfgGpde2hIrVhy1OKpNg9RCRBTP3nvvPfTt2xfPPfec06UQEbleAsDuvdikTN3UvXOqpbwILdMVnq/o+gt1hRkN5pDVnYFyIDCr2WNPO5hDGxYq61M/JQ6uQkGdPqQTBXbCwEzWB2PmV7OuS3emQVefnRAv8oM5FHsWShIOHz6MY8eOBZ/VH69/vKCUS3gpHNYhRp8+WQ1Qh7WzZ89ix44dTpcRF7777jucPHkSbdowxOrTJ8tG2OeOzlYiolg3ffp05OTk4M4773S6FCIiV0vo3Lkzjhw54nQdFC5Ra5mmW0zSDLoIdv8JBnMEfzW4lHi0hfi+pEj5jDr/zAZziCb/ml5cfVEb+wGq2wKNAkKjwK7ee+uFcYqtDr/g7cA+jaG6wu3qq6iuxvnK0rDOocbOurMvJ8cdYV9ubi58PnatRoLf70dubi7Gjx/vdCmO693bzvd3BoA0ACVRroaIKL75/X48+OCDyMnJQf/+/Z0uh4jItWQGfbEntGw3NJhDuZy3JvDREIRSqo4/TaOgpLwTOFpSLIfVDeYwWBIrh4I9cRmirkN92UaDOcy6/0RddaIaw+k2tDuYQ/0ejII64zrrHCQqlJWV4euvvwZgfzDHKQ7moLAkAmhueZRbwr7169c7XUJcWbt2rdMluEJOTqbNI62DcSIislZcXIwxY8agoKDA6VKIiFzLeoQiuZBg5IWg068mtFMu6w0EbuquOuHQDm14aBAiSup/qGqwCtB0ryWFuvrsDubQdiQKtu2r82AOZV1mX1ZLeKNK29Wn+Nq8eTMqKysNThTHfwVlF6JXK8WhlrDzH5Rbwr6dO3c6XUJc2bVrl9MluEKfPtaBdw0u5SUiipTvv/8et99+u8mfdYmIGjeGfTFIUgzm0IVMskEYFgig5FD4V/tqqluGYZmke1h4X9Zd32IwhxR6zFYIZ7TO2PChQMBp3E1nPlhEvx9iJAZzBO9aBImWS3i1ajM8v9+PjRs3hlVacWU5Sqq5XyeFw17I0bu33c6n6NqzZ4/TJcQVfp412rZtgqZNk2wc6Y7Qm4goXmzYsAGPPPKI02UQEbkSw74YIyv31ZOUXXvqYRyqwRzCBE8R+mla8EJBosGgDuUSXlndiad6OUkdulnvpaeqUPN6ykEcZoM59EGiri7h1ZT3wkvzzDsQzZfwRqvvb//+/Th16hSAMAZzsKuPwmYd4kkS0KmT85N4y8rKcPSo1RAFCsfJkydx/vx5p8twhU6d0m0c5Y7Qm4gonrz55pt44403nC6DiMh1GPbFGsN0TDmF1Xgwh3gZqjrMM7qUtvNPtAw38IzRccGgTlOfcgmvYRdbhAdzaGsPdzCHvvPP+LOpK9OuvuBt/XHhdvX5/X6cYthHYbPuVMrOTkVKiqcBajG3f/9+DueIgn379jldgit07Ggn0GZnHxFRNEydOhVr1qxxugwiIldh2BdDQoM5ZOFgDllWh3UAdBMxVB1/wj3+1OdJtYM5gj1vmsEcZoGYrF0+LKgleMugbMOBHILPJ9zBHOKOxMgN5gjVZbxEOOxlumZqW/WKioqQl5dn59Cg8xWlqPRVh3c9IhudSh062Ol4ir5ApytF1unTp50uwRU6dgx9nycledC1a1MkJ/8AYAuAFQDer/2ViIgiraqqCnfeeScOHTrkdClERK6R4HQBFA7rwRwS9IM5tOeoBnMI9tgTDebQDptQDuYQhmSipcPqKnSPGQ/mMLqtrlP40RiXERZxR6R1TeLALnKLd1Vdfaj5dcuWLfB6vQCMl/BqFXAKL9WJdadShw5pDVCHteLiYqdLiEtFRUVOl+AKjz8+AA891BcdOqSjTZsmkCRg6NChYXdZExFR3Zw+fRo333wzvvjiCzRt2tTpcoiIHMfOvlii7LAThExGwZiyE1C51Dbwqz4UVB9h536wE08SdP5ZDOaQBF1/lsUoLyp8Wl+tcYefja47oxrsMjnXqrvPbAlvkCLD27JlS1ileX0+nC5nEEJ1Yb10Udnx5CSGUtHBz7VG796ZGDy4Fdq2bRL8X1OHDh2cLYqIqJHZtWsXJk6cyG07iIjAsC9m6JbrQjOYQ5IU90WtbYpluYA+vFJ2A8qKLj9ZESDKRoM7QgFZ6LVCL1zfwRyBx+0M5hDtS6jtShR8OPaW8Jo8Zz+o0y81jqTDhw8jPz8fgP3BHKfLi+Dz8w9FVBdNLI9o3dr6mIbAUCo6LlzgXp9GWrRo4XQJRESNzsKFCzF9+nSnyyAichzDvlhhYzCHMmXT7u8n6mDTT91VdLGZXFp7WWW3oNFgjsA94/30rKfZGlVla6GsVeNgmJ11Rkt1IxvdiWtD8Lb+uXC7+uDnFF6qD+sgr3nzlAaow1pgaTtFVnU19/o0kpXFgRxERE548cUXMX/+fKfLICJylDx58mQkJSU5XQeZsBrMEerEUwdCSqqOP9PBHIFfpNqXUHcE1hxvfzCHcn9AqfZCqmjQIB1TVSo6TNC1KNpDz2iYiHYJr+FLB953PZfwmi4RDivkFKht1auqqsKOHTvCKq3CW43zFSV1eFNEibVf5rKykqNfig3p6e5YThxvuC+SMYZ9RETO8Pv9mDRpUvh/CU5EFEfk2bNnY//+/ZgyZQpSU1OdroeEjPrlQotP7QzmCIRmEmA4mMNw2IRi371wBnOIqzV+h7JsPphDvIQ3FCQaX8GwSIslvLXHCMM688Ec+sAukn1/ocW4gWt8++23KCsr0zyrPl77+CkO5qA6s7c81y1hX0aG9f6CFD5+rsYY9hEROaesrAx33HEHCgoKnC6FiMgRMgB07NgRs2bNwuHDhzFt2jT+Tb3bCJbragdKiJbBagdzKI8zGsxh9JjR/VDjmXHnn9lgDm3AKH7v2sfMls0Kqg2EgKIgzmIwh3i/vzDYODWsLj/tY4oLfPnll+HVxiW8VC/2wr7MTIZ98YyfqzGGfUREzjpy5AjGjx/PLSeIqFFS7dnXqlUrTJ8+HQcOHMC0adPQrFkzp+qiWqElvJJiCW8oqJMUtxWplu51VLGQeJs/xXmSxWAOgyWxcm3nn/blVFUYCxyvHcyh/FUfgOmX6BrVKKrB1mCOiAR2xnVGwrlz57B//34Aoq4+CB8vripHSXVFRK5PjZG9EK9ZM3dsE5GZmel0CXGJn6sx/sUpEZHz1qxZgyeffNLpMoiIGpxwQEd2djamT5+OI0eOYObMmfzbaUcJlvAaDOYIBoAITa6VNF11yv3+tEt4tRNihR19mn38oLmlfNbwXajCONlwWayoa9Fw50GjXC6MLM1OZ51hrfYvEzZ9V5++1i1btsDvtxvz1WBXH9WPx9ZRycn2jou27t27O11CXOLnaiwx0XpPSyIiir4//elPmDdvntNlEBE1KMlvnBAEFRUV4f/+7/8wY8YM5OfnN0RdhNquPlkODeOovR3ooJNlORTeBR5T3lY8Fjwn+DpScH889bGhTj7hfVmCLHv056uOU58jSaFOweBjsj7sC71e6BjlMmDl6+ofr3ktj6zsPlReR7OkONiJaNR1Jyte1zrsE+7Xp1y2XPuZhbNk13gJb6CjMxTMzpgxA6dPnwZgb78+vx/YnL8flT4ua6C66gVgiuVRhw9PROfO7ljqmZ2djTNnzjhdRtzIyMhAYWFhxDqUY92dd36Kgwdr9kH1+4GTJwtx/Phx1PytU2BP5KUAcp0pkIioEUtNTcWGDRswcOBAp0shImoQws4+rYyMDEydOhX79+/HK6+8grZt20a7LgKgaktT/DAlCb8kwdRY/WCO0EpfTVCn6/JTL+ENhW+yqnNPuTRYWaGo00+4/V7w7YVeT71c2HowhzJUE3xy4s9T/w4siToNDWvSBIeRo4/yDh48GFbQBwDnK0oY9FE92evYS0pyR2cfAPTu3dvpEuJKr169GPQpbNp0Etu2ncK2baewffspHD9eCSAbQAvU7HHZBKHQj4iIGlJZWRluv/12/qUfETUaYaUQ6enpmDp1Kg4dOoTZs2ejffv20aqLAMFyXfVjweBJVgdPgQ488Z5xsmL/Os3LWjxmNZgjcIyui87GYA5VB5thQeaDOXRRnmjehyAgFAV2wgBPUJKhMH/+td/Vp//avHlzeBfzAwWcwkv1lmDrqMTESIbd9ZOTk+N0CXGF4amave919/z3QETU2Bw+fBgTJ06Ez+dzuhQioqir0586k5OTMXnyZBw8eBBz587lnj1RIB7MISsek/V5kqTvXJOUIZimUVA7mKNmWWjtLUVXn1EoZ7g8VhSymbxXbb5n9GvNsdrw0qqu0PHKkDNSgznU70Pc1Wen+y9sta16FRUV+Oabb5QPGR0a5PX7cKa8OPxrEqnY69hzU9g3ZMgQp0uIK1dccYXTJbhKUpKd73V7ITkREUXH0qVLMX36dKfLICKKunr9FJaUlISJEydi165dmDt3Lnr27BmpusjWYI5AaCeplvQGDlZ2sMmSaL85/WCOwLG6SgIhoKY2w6XDqnvqx8wHcxjfFnUkRmIwh+o0gzDOzl590eIP1qWvb8eOHaioMJqoK47/TpcXwevn32hSfVlu9+o6w4cPd7qEuDJixAinSyAiIgrbiy++iA8//NDpMoiIoioiLReJiYmYOHEidu/ejfnz53OpVCQoO+y0IZNsFozJwU5A/aJXSRMIwjAss1rCq71mMPjSDNUQLeG1996NH9N3/CluGXTTqQJNkyW8wUCzPtmdwblWS3Vtd/4pMpYtW7aEV5ufU3gpUrwAqgGU1n4Vo2VLCd26NUX37s0waFBLDBrU0mRKdMPr3r07unTp4nQZcaF169b8f71GVZWdv0ThXqlERE7z+/148MEHsXfvXqdLISKKmoiur5JlGePGjcN3332HRYsW4dJLL43kyzcasrbjDuJhHIpoyqC7ThHuaRoFJWj3zZODE3N1S3gVk3R1+9eZDOYwfkw8mCNYryIsFA/m0AeJurqEV1PeCz/NM1rObPylfg+Rdu7cORw6dAiA/cEcld5qFFaURLwWaozyAPwngP+q/XoKzz8v4cCBe7F//wRs3Xontm69E5mZyc6WqfHjH//Y6RLiwogRI6La0RyLKiq8No5iVzURkRsUFhZizJgxuHCBfwlORPEpKpspybKM0aNHY9u2bVi0aBEuu+yyaFwmfhmmY+rETrtEVzeYQ9NVp91/T3Qpbeef7nlJHSSKj6u9piCMM9sDMFCz2QdS18EcyvqNuvpE983Cukj/mCvs6Ave1j+/bdu2sLqmJEg4VX4hBhdfUqyoqqpyugRLt912m9MlxIWxY8c6XYLrsLOPiCi27NmzB/fdd5+rViEQEUVKVHdOlyQJo0ePxpYtW7BixQr86Ec/iubl4oI2uBMO5tCGT5K+c00KhmCiPf4UBwaOVYaJgW5CG4GYLFherB+EURvJGawNNhvIoX/AOpQzu22+RrdugzmCZwu6Da0Gcxgu1TWi+LPIV199FVZtAJBfyim8FD2VlZVOl2DpxhtvROvWrZ0uI6Y1a9YMN910k9NluE5lpZ2wz073HxERNZQFCxbg5ZdfdroMIqKIa7AxiSNHjsQXX3yB9evXc5N0U9aDOWqCOPVyXtE5wa4/3R5/4im7umAKoXBM2AeoDeF0T4mXz2qX6kq6WsyW8KoDOevBHMJPx5BxgGjxWROxBFQAACAASURBVOnCukj2/fl11zpx4gROnDhR+6z+eNHjJVXlKKk2GuZBVH+xEPYlJCTgrrvucrqMmDZ+/HikpqY6XYbrVFbaCfLY2UdE5DbPPvssVqxY4XQZREQR1WBhX8CwYcOwatUqrF+/HqNGjWroy7ufNtgTLnnVP6bsBAyFTyaDOaBfsguL+6E8S9D5Z2Mwh2UXm3AFr/kSXtH9ugzm0HYk1onF6XY7/PRLeGtfWJHebd++3X5ZkgT4gZPs6qMoi5V9b+69916nS4hpEyZMcLoE16ms9KK01E6Qx79wISJyG6/Xi/Hjx+PgwYNOl0JEFDENHvYFDBs2DIsXL8aGDRsY+tVSL9cNTdQNfinuK5fchoR658wGcwTOC3b5GQ3mUHUBagIyWQq9VhiDOYLPqjrzlK8U+CxEAVhtx5/hXoDaIDGcwRz2lvDaC+r004BtL9O1we/3B8M+ox1GlI8Hrn+qPDaCGIpd586dc7oEWy677DIMGzbM6TJi0sCBAzF06FCny3Cdc+fshngckERE5EZnz57FuHHjUF5e7nQpREQR4VjYFzB06FAsXrwYX331FcaNGxfRUCS2iZfwBgZQBMK8wJ5+qrDJYjBHIFAUXE19X7ktoEGwJ2zGg9FyWNlwWaw2KNNf1fATMi9GdJ7NzjpRrWFcJmzirj59vYcPHzYJVfy614QfOFtejEovl49RdMVK2AcAzzzzjNMlxKTnnnuO/58WsB/2lUa1DiIiqrvt27dj6tSpTpdBRBQRjod9AQMGDMD8+fOxY8cO3HvvvfB4PE6X1KBC3XyK7j5lOCYLwjE59K9PCgaA4ngs8LzyKUn9D92yXvMlsKLBHIolvMFLSYbpmKpS0WGS/k4oSNR+HvpuOqP6BZ+O+dwOO4INk4Jr2/wyVcclvAH5ZVzCS9EXS2HfjTfeyEnxYerbty9Gjx7tdBmudPYswz4iongwZ84c/POf/3S6DCKienNN2BfQv39/zJs3D19//XUjC/2UbXTq3jnVUl6ElukKz1d0/YW6wowGc4SCRWWgGNhjLxQdagIyTQgnWkhs9g5FIZ0osBMGZrL1zn2iR8PpyTPq6rMT4kV6MIe2Lr/fj6+//lrwbOgR7RJer9+HM2VFEayLSEwb9lVWelFUVOVQNdaeffZZp0uIKdOmTYMsu+6PDa5w/rzdsK8sqnUQEVH9Pfroo9ixY4fTZRAR1Ytr/9R+0UUXYd68edi7dy8mT56MhIQEp0uKLlFrmaZbTNIMugh2/8naECoU5oniJ6PHjO5LipTPqPPPbDCHaPKv6cXVF7WxH6C6LVAUEJoFdvXeWy+MU2x1+GkfQ6iuPXv2oLi42P61IOFMeRG8fl/474vI0hAAYwCMB/AAdu4cjsGD30ePHm+jRYt/ICXlr3jyyY0O12js1ltvxY033uh0GTHhqquuwrhx45wuw7Xy8+127LGzj4jI7crLy3HnnXfGzOAxIiIR14Z9Ad26dcPs2bOxb98+TJkyBcnJyU6XFHGhZbuhwRyytutOe5IglFJ1/Om3+dOcJ9V2/hkN5jBYEiuHgj1xGaKuQ33ZRoM5zLr/RF11ohrD6Ta0O5gjVL9ZUGdcZ52DRI26DObgFF6KnsEArgcwDMBAlJV1xtatBThwoBBnz5bD7weOHrUXTjtl1qxZSElJcboMV0tISMBrr70Wkd/D4tWRI3a+z8sAuLfTlYiIQvbt24ef/exnTpdBRFRnrg/7Arp06YJZs2Zh7969mDJlClJTU50uKYIEIy8EnX6SFAr0VItsNV116qEdBkt2DUJE7T5+yhqsAjTda0mhrj67gzmUHYm61zTK5cL8+dOqs85sCW/UBa+nr7O6uhrffvutwYn6+E+WZVR6q3G+vO5hC3+4J3PWe/S5Pezr2bMnfv3rXztdhqs99thj6N+/v9NluNoPP9j5Po+dPS2JiAiYP38+XnvtNafLICKqk5gJ+wI6deqEWbNm4fDhw3jyySfRpEkTp0uqN0kxmEMXMskGYVgggJJD4V/tq6luGYZlku5h4X1Zd32LwRxS6DFbIZxwCa/ZQ4GA07ibznywiH4/xEgM5gjetQgSLZfwaikyvLy8PFRU2NsXSpIkwA+cKD1v2AVo6zUU74lIzzq8sBeCOOuZZ55Bv379nC7DlXJycjBt2jSny3A9e6E2wz4ioljz+OOPY+NG925JQkRkJObCvoBWrVph5syZOHz4MKZNm4ZmzZo5XVKdyIouNkjKrj31MA7VYA5hgqcI/ZRBnipINBjUoVzCK6s78VQvJ6lDN1Gnn1l2p3495SAOs8Ec+iBRV5fwauq6wmHegWi+hDeakdhXX30FwN5gjsAm+gWl5+t8PW3Ix8CP9Ky/v86cKUdpaXUD1FJ3qamp+PDDD5GRkeF0Ka6SkpKCd999F2lpaU6X4noM+4iI4lNVVRXGjx+P06dPO10KEVFYYjbsC2jZsiWmT5+OAwcOYNq0acjMzHS6pPAYpmPKkMV4MId4GWoovDO7lLbzT7QMN/CM0XHirj7lr8ahWaQHc2hrD3cwh9lS3UjFXKZdfcHb+uPKysqwa9cu29eRJRklVRUoriyvc51Wt4nshhdHjrh/GnTPnj0xZ84cp8twlVdffRUDBgxwugzXq9mb0s73eN3/8oWIiJxz9OhR3H333fB6vU6XQkRkW8yHfQEtWrTA9OnTceTIEcycORPNmzd3uiRLocEcsnAwhyzL+nBF0neuBTv+dFNplV15od47SREmagdzmAVisnb5sKCW4C2DsrV78Qn35gueE95gDnFHolE4ZbQBoDWzJcJhL9M1o1nCW11t3B0l6uo7UVL3LhKzrj4GfhRi73tsz57YCDnGjx+PRx55xOkyXGHSpEl46KGHnC4jJhw/XoKiIjuDN9jZR0QUq1auXImZM2c6XQYRkW1xE/YFZGRk4Mknn8T333+PV155BW3atHG6JBOCfjltVx8CoZ1ima7mHPVgDs2yUoPBHLI2zFH8QxiSiZYOq6vQPWY8mMPotrpO4UdjXEZYxB2R1jWJg67IhV+irj5JkvD1118DMF7CqxQIiQvK6j6FNxAYKt+z0W1qzE4D8FketXt37IQcr732Gm6//Xany3DUyJEjMXv2bKfLiBm7dp21eWR+VOsgIqLoeu6557BixQqnyyAisiXuwr6A9PR0TJ06Ffv378crr7yCdu3aOV2SnrLDThAyGQVjyk5A5VLbwK/6UFB9hJ37wU48SdD5ZzGYQxJ0/VkWo7yo8GlNmFiHwRyqz9WoBrtMzrXq7jNbwhukyPAqKiqwb98+e2XV/js4U1aEimo7nSZ6yqBP+bpWt6kxqgJgHXTEUtjn8Xjw9ttv4+qrr3a6FEcMHjwYH3/8MZKSkpwuJWbs3m23c7UgqnUQEVF0+Xw+TJgwAceOHXO6FCIiS3Eb9gWkpaVh6tSpOHjwIGbPno0OHTo4XRIA6JfrAuovSVLcF7W2KZblBu5pGgWDz8mKLj9ZESDKRoM7QgFZ6LVCL2y9l566XO2y2sDjdgZziPYlFO+rZ91taHSs7r2EFdTpQ8dI++6771BVVWVrMEfg+ifrsYQ3EPYpX8/ubWqMTloeEUthH1AzmGLhwoUYNGiQ06U0qH79+mHp0qVIT093upSYsmePne/vCwBKo10KERFFWUFBAe6++27T7XWIiNwg7sO+gOTkZEyePBkHDhzA3Llz0aNHD2cLMsyrdIkdAP3+fqIONv3UXUUXm8mltZdVdgsKFhqr7hnvp2c9zdaoKlsLZa0aB826+gxr1tcVjRjLqKtPsljCa4dH9sDr9+FU6YV616Z8zM5thn6NlfXSxF27zsGvT6tdLTMzE7m5ubjhhhucLqVBDBkyBGvWrEF2drbTpcScXbvshH1cwktEFC/Wr1+PZ555xukyiIhMNZqwLyApKQkTJ07Ezp07MXfuXPTu3bvBa7AazBHqxFMHQkqqjj/dElfFI8HmPKn2JRTLhoPH2x/ModwfUKq9kCoaNMh7VJWKDhN0LYr20DMaJqJdwmus/kt46zKYwzjkFFCEIpWVldi9e7e9uqSaLtGC0kJ4/db7qIkoh8Io67VzO3CfGhvrzr7CwkocPFj3PSSdkp6ejkWLFmH8+PFOlxJVY8aMwerVq9GiRQunS4k5fj/w1VenbRzJsI+IKJ784Q9/wKJFi5wug4jIUKML+wISExODod/8+fPRp0+fBry6oF9OGcQFvpRLcUXnS6FjQ91+2iW55sMmZEkOXlu49FUTwukrF4c7waW6svlgDvES3lCQKLyCxQPmS3hrjxF+JuaflT6si2SwFUr4lNfavXs3KisrbS3hDSy/PVlS98mndd2vj4FfY3bC1lFbt8bmfmVJSUl455138NRTT8Xd97YkSXj88cfx0UcfITU11elyYtLBg4U4e7bcxpH2/jshIqLY4Pf7cd999+Hw4cNOl0JEJNRow74AWZYxbtw45OXlYdGiRRg4cGDUr+nz++BTrWkThUr67j7tYA7lcRCGgjB8zOh+6GdZ484/s8Ec2oBRR7hG12wJr8lyX1EYZ9F1p51CHDYbp4bV5ad9THOBcJbwypKM8uoqnCsrCvdd1Zwvy/Xar4+BX2N1DIDX8qht205Fv5QokWUZM2bMwIoVK1w+4d2+Zs2aYf78+fjjH/8Ij8fjdDkxa/NmuyH2kajWQUREDe/8+fO46667UFVVt6F4RETR1OjDvgBZljF69Ghs3boVixYtwuDBg6N6PZ/Ph2pvNXw+X00AhUA3nzK0C7S2iSIwRSwk3uYveF5dBnMEgjNZUoY/oiqMBY6XNMcqfzUKOY33AgzdFtVg3tVn1Cooqt0qqDOuM1Kqq6uxc+dOQVdfDe1gDo/Hg5Ol5w2PtxL4gd9umBe4b+c2xbMq2FnKG6udfUojRozA1q1bce211zpdSr1ceeWV+Prrr3HHHXc4XUrM27bNzve1DzWhOBERxZvNmzdj2rRpTpdBRKTDsE9DkiSMHj0amzdvxooVKzBkyJCoXcvn96OyugqlleWoVE10Cu2FF1ymqwjmlB1syv3+tOGdtotN2CMnKe/bD9DU3YDKME42XBYr6loUhYDKO9ZLeI3Z6awzrNX+ZcKm7+oT17p3716Ul4uWh+njvOAS3uKzda7L4/GEHeCxy49qWHctbd9+Cj5fjE3pEGjfvj1Wr16NuXPnolWrVk6XE5asrCy88sorWLduHTp37ux0OXHBXoh9AkBltEshIiKHvPTSS/jss8+cLoOISIVhn4mRI0di06ZNWL9+PUaMGBG16/h8PpRXVqCovBSV1VXCYAwI7OFnGI+pO++UYZmke1h132gJrCoAC4aL+iW8kslgDtV1hUt49XeU8aRVN512MIdxYCfVezCH6nM06Oqz82VIk4OEO4W3qLIcxZV29o4SnK9YxlefMI+BX2N11PKIwsJK5OXVPYx2E0mSMHHiROzevRuPPvqo65fByrKMBx98EHv37sXUqVNdX2+sqKz0YssWO2Efl/ASEcUzn8+He++9FydOcH9WInIPhn02DBs2DCtXrsT69esxatSoqF3H6/WiuKwU54oLUVZRIQinQglecKlvcKVvIAgz6vJTL+EN7LEnSbIqYlMuDVaFbroqxN1vyn3+AOj28JMl68EcytBO+7riq6nrsksYatoK8SL5n42+00mSJPh8PuTl5dkazCFJNUt4T9Sjqy8hISHqIR8Dv3j2va2jcnPjayljVlYWXn/9dezduxdTpkxBcnKy0yWpBPak/fbbb/H3v/8d2dnZTpcUV7ZsKUBpabX1gQz7iIjiXkFBAe655x54vdb7GBMRNQSGfWEYNmwYFi9ejI0bN2LUqFFRCy+qvV5cKC1GQeFZlJSVBgdziLvcZMX+dSGWTXSa+5Ii5dMGe9qgzs5gDl0Xm7AgszBP35kneg2jrj6jwRzGnX8WwvxXbdndp6tF/Znt378fpaWltq4V2FfxZMm58IpU1GpnCm+owzQytyme/AA7yxTXro2vsC+gW7dumDVrFnbv3o2f//znyMjIcLSetLQ0PPTQQ9i7dy/mz5+Pvn37OlpPvLIfXh+Iah1EROQOubm5mDlzptNlEBEBYNhXJ1dccQUWL16Mr776CuPGjYtq6He+pAjHzuTjQmkJ/H6/4WAOSZmFBYIVSLU3A4GYtuvPOBCTVcfoazN7x4HjtYuNRYuP9eGlVV2h45Uhp3lXn9EGgOaMuvrsdP/Vl9kSXm23n8fjwZmyIlRU120SWKCrz044xy4/EvMCOGR5VG7u8bjYt89Ily5d8Je//AUFBQWYP38+Ro0ahcTExAa5tizLGDp0KGbPno0TJ07gb3/7G7p3794g126s1q49buOoEtTs2UdERI3B9OnTsWHDBqfLICKC5Pf74/cnrwaSl5eHl19+Gf/617+i2rqd4PEgK70psjKaIUH2QJYV3X1yqMtP9Hige0u5hFe55FeWJd1zytdQdhGGQsOaxzweGcrBHKHrh0I59WuGrqkNF2Xt3oCB42VtyKaZIKycNqw4rqaWUA2i0NCyA1B1rr2wz6qrr6YuRaCo6eybNm0aCi9c0HwHiJfwpiSnIO/U9zheVLdlvKmpqarwTflbQkPeplh3A4DRlkft2HEXLrmk8SwnPXnyJD777DOsXr0aq1evxtGj1vsb2tWuXTsMHz4cw4cPx/XXX4/27dtH7LXJXGWlF82b/wMlJVZ/ybIDwN8boiQiInKJDh06YMeOHWjRooXTpRBRI8awL4J27tyJmTNn4t1330V1tZ19fOomEPq1zGxeE/opwzthiKcO6UIBXigcrAkCtcepz1GGaupgUB2+6cI+TYCnDwwVIZqsfy31dQSdh5plxOogTh/0hR32yerXCxwXeJ91CftqbkMX9EmShIMHD+LVV1+1tV+fR/bAk5SI3EPfwOv3hf29JMsyUlNTa163gYM9hn7xphuAxy2PevnlK/HEE5dGvxyX2rdvH3bs2IG9e/di9+7d2LNnD44ePYri4mIUFxfrjk9LS0N6ejo6duyIXr16IScnB7169cIll1yCnJwcB94BAcDq1T9gxIiFNo78AEBulKshIiK3GTNmDBYsWMDVLETkGIZ9UXDo0CHMnDkTb775Jqqq6ra00o4EjwctMjLRKrM5EhMS4ZFl80BPFAAaPCfq6lMfqw77lM9ru/pkj6wfzCEru/DUXX2qsC8QsMnqgM5OV59V2CfLHl0QZx721b+rz07Yt3DhQqzJzdX829YHfQCQnJSMk6XnkVdgb0CCVnJyMhISEkJXsRnIscuP9DwA/gdAkulRV1/dDmvX3tYgFcWic+fOoaysDKmpqcjMzOQPCS71+OMb8L//a2di+gwA8blXJRERmXvllVcwdepUp8sgokaKe/ZFQdeuXTF79mzs27cPU6ZMQUpKSlSuU+31Iv/8GXx35ACOny1AtdcrHMKhn6SruB/8QVIyOU4ZqonCMZMON9l8VEhdB3Mo6zcL68z2ADSuKjJsBX2Cr507d9q7gB+1U3jrNpgDMN+vL3DfidsUi7ywM4hg48aTOHu2PPrlxKisrCy0a9cOWVlZ/G/CxZYssfMXLMUA7OzrR0RE8eiJJ57Al19+6XQZRNRIMeyLos6dO2PWrFnYu3cvpkyZElwuGWk+nw8nz57G14f24PuC46iqroZUO5gDQE3ABOVUXeNATLs8NvB8gCoaNBjvazaQQ/+AdShndhuS8ArigsKk7uoz6fwz6uCzQ9PMdurUKRQUFNg61ePxoMJbjbOl2r397ElISAhO4QWcC/YY+MWTPMsjqqt9WL78SAPUQhQdu3efw759520c+R30/dhERNRYVFVVYcL/t3fn8VHVZ9vArzMz2SAJUVZBjCwqVVsEaVGk1iJVqlJsLa9vLbg8KFZfP1p9xdTtIRWLgIhBrRRRIfERKohAEqASRJAghCQEspCQkJU1+55MklmeP7LNcmbmzGROzpnJ9f18Iicz58zvnrCZi/s+vwUL0GB3H24iIvkx7OsHY8eOxdq1a1FSUoKlS5ciPDxclnW6Q7+Ms7kovnwBBqPBOoBCbzgmunutbQhn95Rdz13PeXZBocix9WiuTSjmKJdz8YCraMhxgOj6Xn0uCukDs2htgiAgJydH0r36gM6w7lJTjcffSnaP7/ZHgCfWOSjlmHyN67APABITS+Qtg0hGu3dLvW2CtN8PRETkv86ePYunnnpK6TKIaABi2NePRowYgejoaBQWFmLp0qUYMmSILOuYzCZcrK7A8bwsFFwoRVtHe89zVgGe0PuoXeef7a64tjvnapwFYyKL2S8qOsIr9rmjrj5XXXeavgZGLi6X2uHX24Vo87lISpedLfGbQzOg0WpxsbHa/ffVVXtAQIDde5HruPtzT4/JV1QDuOTyrMTEErS2yreJEZGcvv76rISzjADy5C6FiIh8wNatW/HZZ58pXQYRDTAM+xQwbNgwREdHo6ysDCtWrMAVV1whyzrdod+x0yeRU1qI1vY22G1uYRmcWQ/p2hB7zOJZq848y1fqJD7+arsxh4NRXYsaYPdZ30Z4pQV14htzeFtrayuKiotFn7PNBTUaDVoMbWhsa/VorYCAANH3ouZj8hWuA+vGxg7s2SO1O4pIPUpKGpGSUi7hzLMAPPvzmYiI/M/zzz8v/b7cRERewLBPQeHh4YiKikJpaSliYmIwcuRIWdYxmc24XFOJH3NOILPoDJr1rQ6DPdFmPDgah9U4HIu1Dcps13K0jvMHxEntrBOr1Y1l3Cbe1ee43tzcXBiNRptXEWn/M3eO4J6vr/K4tu6wz7JWXzgmXyCtO3XLlgKZ6yDyvq++KoC0jcOz5C6FiIh8SEtLCx5++GHo9dykjIj6B8M+FQgLC8MLL7yAs2fPIiYmBldddZUs65jMZlysrsChzFScOHsazfoWiyBMbGMOixHertcQnOyOaxXkiZ0m2H/SGyTahoX23XSORnjtXro7VOxLRtTdGCi2tsQPp0S+WczJyZFcnlanw+WmGjfeUC+NRiP7/fp6fl5kOCa1KwLgevOC3btLUF/f7vI8IjWRFlKbAZySuxQiIvIx2dnZeP3115Uug4gGCIZ9KhIaGooXXngBxcXFWL9+PcaMGSPbWherK3AgIwXHTp9EXbPlDlFinX7iIUtPuCcS0okFdqKBmcb1nfvEHnWnJ89RV5+UEM+7fX/WCZ/lOmazGbl5tvd3Et+YQxAE1OqboDd0eFSF5QivZR3ePO7+XM5jUiszgAyXZ+n1RuzaJT62TqRGubm1OHVKSkd1EYBaucshIiIf9P7772PPnj1Kl0FEAwDDPhUKCgrC4sWLUVRUhNjYWEyYMEG2tS7XVuFARgqO5JxAXVODfaefyMYc3SO8DrvYRGd0BSdPC/ZRnsUDYgGhs8Cuz/fWc+MSSR1+to/Bvq7i4mI0Nze7XtDcGdZ5ujEH0Pnry7J+Xz4mtUqTdNamTbky10HkPRs3Sv31Ku3XPxERDTxmsxlPPPEEysul3P+ViMhzDPtULDAwEI8++ihyc3MRGxuL6667Tra1LlVXIin9Rxw8lYKqesuOBNsgzlp37iLYnGv3o0j3n1hXndjYrjvdhr3zt1LetauwznGd3h4rzXYwwit2ayizRkB5k+sxSTFarRZarVYVQZ3UYyldhKQ2ZQBcd0AdPHgB+fme/Vom6k/t7UbExkrZXdcE4KTc5RARkQ+rqKjAE088AbO0m8ASEXmEYZ8PCAgIwKOPPoq8vDxs3boVkyZNkm2tyzVV2Jd2BN+mJaO81vqb9d7gS/rGHD3H3a9h9YIij4k+4JyrzjpnI7yy61nPeZ3Z2babGoj/5S8IAqr1TTCYbDfykEaurj5XgVxfjqXWQWpiBpDu+iwz8Omn3JmO1G/HjiJUVEjZXfcMgEa5yyEiIh+3d+9erF+/XukyiMiPMezzIRqNBvPnz0dOTg7i4+MxZcoU2daqrKvBvrQj2JtyCOcqL0MjaKSFcKIjvM4esg533NmYwz6wE7y2MUfPpy6CRFcfdkQyvOrqammt/GZAo9XiQoPnu/AGBgYqGsjJfUxqchyOQmtLsbF5aG/3LLwm6i8bNkgNpVNkrYOIiPzHiy++iKws7t5ORPJg2OeDNBoN5s6di/T0dMTHx2PatGmyrVVRV4P96T8i4ej3KCu/CMB6NLf3c8uNOJxtzGF/L0Dr17Fldzc/h2c64rwD0fkIr9wxkiAIyHLQ1ScWk5g0QHVzvUdrBQQEQKvVWq3tj8ekFuUAzro8q6KiFTt2FMlfDpGH8vPrcODAeQlnNoO78BIRkVR6vR6PPPII9Hq90qUQkR9i2OfDBEHA3LlzkZqaiqSkJEyfPl22tcprq/BtajK+PrQPRZfOiXexiXb12fbwWT3pdGMO65cR7+pz9rl955/VSl7htKuv59jxeQBERnhFdCV/FS11EnqlxHWP8KohkHN27K1OQ1KDHyWd9d57vMcZqdf775+CtNsqpQDwbJd0IiIamLKzs/Hmm28qXQYR+SGGfX5i9uzZOHbsGA4fPoxZs2bJtk51Qy2+TU3Gv7/fjbyyop4by9rek08893NvYw7LewP2vqajMMfRDQBd66nDRZjoKKyTTOSbRb1ej8LCQimnQtBocLGxxr01u68VBK/er88bgZyzoI5dfv7iJDq7nZxLTa1AcvIl+cshclNVlR5xcVI25jADOCJ3OURE5IfWrFmDpKQkpcsgIj/DsM/PzJw5E9999x0OHz6MBx54QLZ1quvrkJR2BJv3JyC3rAhmmHsCOkeBWQ9HuVwfMhqxIM7ZxhzOAzvvhUXOuvoEQUB+QQGMRsv7lTluH2mHEQ36Fo/qCAoKsnvPagnk5D4mJXWg8959rrG7j9To44+z0NJikHDmWXSOrhMREbnHZDLh8ccfR1WV5/flJiKyxbDPT82cORMJCQlITk6WN/RrqMO3xw9j497tOFWYU7NdmwAAGNJJREFUB5PZ1PukZfhid6XtI846/CR03YkvIp2Ta11194l2/NkGiQ4yvLw8CR0j5s7LLzfXufWWLHWHfZbvaSAcM/RTg2RI2agjPr4YBQWe/xon8ja93oiPP5ZwmwUAwGFZayEiIv928eJFPPnkk0qXQUR+hGGfn7vjjjuQkJCAjIwMzJ8/X7bwo66pEUmpR7AhcStO5OfAaDKJbsyh0dgHYxrRUMbubn52jzk6V+w56UGd/aixXMywDfscb8whCALKm2s9Wkej0SAwMLDndSxfUw3H3ug0lNqBSEooB+A6MDGZzFi1KkP+cogk2rgxF+XlUrqpq9E5sk5EROS5Xbt2Yf369UqXQUR+gmHfAHHLLbdg69atOHnyJBYuXGi1K6s31Tc1IintCP61awuO52aiw2AQv3+fywdsnnazs87RqK4csY+jrj7BxQhvVVWV63b9ruSv0dCK1o52j+oLDg72qUBO7mNSwneSzoqNzUNRUYPMtRBJM3r0YFx/fYSEMw8CMLk6iYiIyKWXXnpJ2uQPEZELDPsGmJ/97GeIi4vDqVOnZA39GlqasC81GR9sj0Ny1gl0GAyi99DTOOimsx3htWT7WV9HeD3ZmEMsSHSoLyO8XZdXtHoegISEhADwrUCOgZ+/OQug1OVZHR0mvP12mvzlEEkwb944nD79CDZtuhsTJgxxcFYrgKP9WRYREfmxlpYW/PnPf0Z7u2f/yE9E1I1h3wB10003IS4uDvn5+Vi8eDF0Op0s67ToW/Fd+o94f9tGHDhxFPr2Ngldfe6M8HadIxrWOd+Ywz6s82YY1Jvwia4pCJJHeI1mEyqa6z2qQqfTQafTqSJg649jdwNM6k8HJJ0VF5eHM2d47z5SB61WwGOPTUJ+/p8xfXo2gEqbM5IB6BWojIiI/NWJEyfwxhtvKF0GEfk4hn0D3Pjx47F+/XoUFBTg+eefR1BQkCzrtOhb8X1GCtZ8tRH7035Ea1tb1zP2YY3Vh4uuO/H7/blBwqVudfnZPuZgAaPRiIKCAucLd23MUdveDIPJ6PxcB7q7+rrfhxqOPe0ulKsDkfpLBuyDEntGoxn/+Ae7+0hdcnKykZr6CYC3AWwBUIPO3aYPKlkWERH5qffeew8HDx5Uugwi8mGC2Wx2vU0iDRhlZWV47733sGHDBrS2tsq2TlBAIG6/eQp+PeU2DB40yKobz2qcVyM29mtzrsNA0OI6jUa8s09jfa67I7yOwz70hH1i5xQWFuKDDz6w+IqY7bv6usK+03UXUNPa6NHXefjw4dBqtbD8bS7lWOp5/nRM/WE6gIUuz9JoBKSmzsfUqcPlL4lIggcffBC7du2yeEQLIBJAkUIVERGRv7v22mtx6tQphIeHK10KEfkgdvaRlWuuuQZr165FcXExoqKiMGjQIFnWaetox8GMFCz/Yh12/pCEhpYml9dICdscjfDK2cflMOhz8iE2wium3dSBWg+DvqCgoJ7x7P7okPP1Y+oPqQAqXJ5lMpnx0kvJ8pdDJEF6ejri4+NtHjWCQR8REcmppKQEL774otJlEJGPYthHokaOHIkVK1agpKQES5cuxZAhjm5O3jdtHe1IzkzD8rh/YecPSWhsbhLpuhML7IQ+b8xheW1fuvocctI0lpub67y2rq6+Kn2js5dxynJjjm7+duxOgCk15CQ5mQDslXTmoUMXsWMHwxRS3quvvsouYCIiUsTnn3+O7du3K10GEfkgjvGSJNXV1fjwww+xdu1a1NXJd/N8rVaL2266BXOm/wpDhwyBOyO8vaO60jbmkGeE16KrD711WZ7T3NyM1157reubRwcbc3SFfSerS9DU7v7N3wVBwKhRo6xfUsHxWDWM6XKsVy00AF4HMNLlmRMnDkFOzp8QGCjPruFErsTHx2PevHlKl0FERAPY8OHDkZWVhZEjXf+/ExFRN3b2kSRDhw5FdHQ0ysrKsGLFClx55ZWyrGM0GnEkMx3Rn69F3N4dqKyrEQ3iRIM5dxZys5FLWtAn2AV9Yh1jZ86ccR4qdT3VYtB7FPQBQHBwsN36/dkh587aaj0muZgAJEg68+zZeqxefVLecogA7Nt3Ds899wPq69t7HjMYDHj11VcVrIqIiAiorKzEX/7yF6XLICIfw7CP3BIWFoaoqCiUlpYiJibGrnvMW4xGI47lnMTfP/sAGxO34XK15S6egtUPUokHddK6+ryhO96zHeEVi/3MACpaGjxea/DgwQMikPPmsaOvC8nhJAAXu1F3WbEiHXV1ba5PJPJQa6sBzz57CP/8ZxZuvHEzvv66EADw8ccf4/Tp0wpXR0REBOzcuRObNm1Sugwi8iEc46U+aW5uxqeffopVq1bh4sWLsq0jCAJuveFmPPirezBm+Cj7EV6b8M5pB6DVtX0f4YXQPaprP8Ir1v335ptvdo1COx/hTa04izajwe2vlVartQph1TAS6w8jweRt1wBYAmep/fTpI7F+/V2YPHlYv1VFA8+rrx7FihUnrB67557RSE1dgtraQoWqIiIishYeHo7MzExERkYqXQoR+QCGfeQVbW1tiI2NxbJly3D+/HnZ1hEEAZMn/gS/v+sejBs91rOwz2rjj96wz/Leeu6GfZ3HcBj0dZ936dIlvPPOO13vRiTs6wr66tqakV1zzqOvUVhYGIYMGTIgAzkGfr5mIYDpdo8OGRKIv//9F3juuZ9Bq2WXJcknO7sGU6d+hY4Ok8iz7QD2A/gWnbvvEhERKWvmzJk4dOgQNBoO6BGRc/xTgrwiKCgIixcvRmFhIWJjYzFx4kRZ1jGbzThZcBpLN8RgzZbPUHi+rOc526DP9Yd1V5+sutbIy8vrficW/7VX0Vrv8VKDBg3qWpL36PP2MXlbAjoDFUsZ+Otfm/DCC5MZ9JGsDAYTFi064CDoA4BAAPehswOVXRRERKS85ORkrF27VukyiMgHsLOPZNHR0YEtW7Zg+fLlOHPmjKxrXX/NOPyfu+/HzRNukHWEV6zzz66rz8UI77p167ruASXe1QcARrMRKeWFMJodfQPqWEBAQM8Irxo64dR87I3ryRvuBvB7ANUAtgHIxqBBg5CdnY1x48YpWxr5tbfeSsXSpcclnp0GYJOM1RAREUkTHByM9PR03HjjjUqXQkQqxrCPZGUymbB9+3YsXbrUbmMKb7shcjzm3XkPpv3kp6IhnkajsRvh7cu9+twd4TWbzYiKioJer4ezEd7K1nqcqbvk0dcgIiICYWFhvS+pglDNn0eCyRs0AH4N4DAsu/weeOABJCRI27WXyF1paRWYMWO7k64+S60AlgHwfNMkIiIib5oyZQqOHTuGwMBApUshIpXSRkdHRytdBPkvQRBw00034ZlnnsG0adNw5swZXLrkWZDlSnV9LY5kpiHzbB4iQsMxZsQolyO8ff1AV9Dn7H5/3YFgaWkpDh8+DFcjvCWNldAbOzz6GgwdOtTqHh79MeLqjdFfR8f99R48PSZvMAMohu090fLz8zFu3DjccsstilRF/kuvN+K++xJx+XKLxCu+BnBWzpKIiIjccvnyZQDArFmzFK6EiNSKnX3Ur8xmMxITE7Fs2TKkpqbKuta40WPxx1m/xR2Tp8F6fFd8hNfdDTrc6eoTBAFJSUmIj4+Hs66+DlMHjpcXwewwCnQsODgYI0aM6H1JH+qQ8/Vjkgd3nSM5PPvsIaxbly3x7CIA78PxP88QEREpQ6fT4fDhw7jtttuULoWIVIgbdFC/EgQBc+fOxfHjx5GUlCTrX07FF8/h3f/5BH99/y0cTD/Ws76je/XJofvbQ0EQUFBQYPe4rYrWRo+CPgAIDQ312Q45f+hAJO9raGjAggULYDRad/3t2FGE6Gip91oj6rV5c74bQV8HgM1g0EdERGpkMBiwYMECNDU1KV0KEakQx3hJMePHj8eTTz6J2bNno6ysDMXFxbKsU9fYgGPZGfgxMx0hQcG4dvRYj+7VZ9n5Z9fV5+LDbDZj27ZtMBhExnPNvQeFDeXoMBntz3FBEAQMGzbMKoiyfM5XjuUO5OQ+Ju8rKytDeHg4ZsyYgY4OE5YsOYKXXkrGoUMXMXnyMEyadIXSJZKPyM2txbx5e9DeLnXzo10AsuQsiYiIqE9qa2vR0NCA++67T+lSiEhlOMZLqpGcnIyVK1ciMTFR1nWuGjYC82ffjzkzfgWdVud26Cca9rkY4S0uLsaaNWvgbIS3xdCGE5WeBZ6hoaEYNmxY58sN8E0z1HBM3hUQEIBt25Lw7rvVOHKk956fERFBSEubjwkThihYHfmC5uYO/OIXX+P06RqJVxQCiAG7+oiISO0EQcC+ffswe/ZspUshIhVh2Eeqc/ToUSxfvhy7d++WNUAZNXQ4fv/rOZh752wEBgR4EPZZdPXB/p5/sDjet28f4uN3ARD51rEr7CtprMD5JqnfiNq8l1GjEBwcbP2yKgi9/PXYnfPIG34CjeYJmEyD7J6ZPHkYkpP/gNDQAAXqIl9gNgMPP/wttm2TusmGHsByAJ79eUxERNTfIiMjkZWVhbCwMKVLISKV4D37SHVuv/12JCQkICMjA/Pnz5dtTPJydSXWff0Fnoj+//jmwH/Q3tHhZldfb9Dnqsb8/HzxJyxGeCtbGzx6H1qtFiEhIf0+sqr2YzWMBFNfaQDcD+BZ0aAPAE6dqsKCBUkwmRiykrjo6ONuBH0AsA0M+oiIyJeUlpZiyZIlSpdBRCrCzj5SvezsbKxatQqbN2+2u1G/N10RNgTzf3M/Hrr7PgQHBfVphNcyEDSZTFiyZAna29scdvXVtTUju+acR3UPGTIEQ4cOVUXHG0eC2eHnPYEAngZwg6SzlyyZglWrZshaEfmef/+7AI88sg/SfzumAPhCxoqIiIjkIQgC9u7di3vvvVfpUohIBdjZR6p38803Iy4uDpmZmVi4cCF0Op0s69Q21uOTbzbj4b89i427tqJZ32p/km3QJ+GjtLQU7e1tTteu8LCrD0BPu74/d8j5+jF5oh1As+Sz3303Axs35spXDvmc48fL8V//dcCNoO8igK9krIiIiEg+ZrMZTz/9NBoaPP++goj8B8M+8hk33ngj4uLikJ+fj8WLFyMgQJ57dNU1NmBTwjb836iu0K+1xS6g6iHhm8iCggLxJ7q6+kxmI6r1jR7VGhgYiKCuLkSAgZyaA0/yxJcAyiWf/dRT3+Obb4rkK4d8RkFBHX73uz1obTVIvKINwOfoDJmJiIh8U2lpKV555RWlyyAiFeAYL/ms0tJSrFmzBp988gn0er1s6wwODsEfZt+Hhff/AWGhYQ5HeLs36LAc4RUEAR98sBZnzpxxOMJb2VqPM3WXRFZ2bejQoYiIiOh9SRWMrHIkmGO93jUGwMsApIX7ISE67Nv3O8yceZWsVZF6nTvXhJkzv0FZmTv/iPI5gBNylURERNRvOM5LRADDPvID586dw+rVq7Fhwwa0toqM3npJSFAw5t71Gzz+u/kYdsWVku7XZzQasWTJy2hvb7cO+8zdP5iRU3MetW3SxxUtXXvttdDpdKoIsPwtkGPgpyZTATwBQFqXZEREEA4efBCTJw+TtSpSn8rKVtx55w7k5dW6cdV+ADvlKomIiKjfjRkzBtnZ2VZNAUQ0sHCMl3ze2LFjsXbtWpSUlCAqKgqDBonv2tlXrW16bP02AQ+9tBjvxX2CqhrXuzWWlJTYB31dzAA6TAbUtbV4VM+gQYN67l+otpFVjgS7/pqSO04A2Cv57Lq6NsyZk+Bm4EO+rra2Db/9rbs/71kAdslVEhERkSIuXLiAqKgopcsgIgWxs4/8TlVVFT766CPExMSgvr5etnUCAwLwwJ2z8dRDj2DUsBGiI7x79+5BYmKiwxHeC801KG6o8Gj9kSNHIjw8vPPlVNCp5k/HSqxHrggAHgMwTfIVI0aEYP/+efjpT4fKVhWpQ21tG+69Nx6pqe78eXoZwGoA8t0GgoiISCkc5yUa2Bj2kd9qaGjAunXrsHLlStTWytfho9PpMGfGXXh6/gKMvWqM6/v1mbuneM3IqCpBc4fznXrFaDQajB8/3qpLTA0hmT8Hcgz81CAAwF8BREq+goGf/6uq0mP27F04darKjasaAbwLwHWHNhERka+KjIxEVlYWwsLClC6FiPoZx3jJb4WHhyMqKgqlpaWIiYnByJEjZVnHYDAg8Yf9+P2LT+LND1eh7NIFCIIAk8mI4uJihxv2thjaPQr6ACA0NLR3Q5AuajzmSLD0Y5KiA8C/AFRKvqKiohWzZu1ERob0a8h3lJe3YNasnW4GfXoA68Cgj4iI/F1paSlefvllpcsgIgWws48GjKamJnz22WdYuXIlLl3ybPdbKQRBwD0zfoUH7/wNtsR+4XBjjpLGSpxv8uybzauvvtrq3oTsllPvsafXkDNXAHip60dpQkMDsG3bHMyZc41sVVH/KipqwJw5CSgoqHPjKiM6A+NcmaoiIiJSF47zEg1MDPtowGlra0NsbCzeeustXLhwQbZ1BEHAFUGDERk2DKEBwZ0PWozwplYUos1ocPt1dTqd1QivGgItXz9WSx3849gdV6FzpHew5CsCA7XYuHEWHnnketmqov6RmlqBBx5IREWFOzuwmwBsBJAhU1VERETqFBkZiczMzJ77fROR/+MYLw04QUFBWLx4MYqKihAbG4sJEybIso7ZbEaNvgkZlSXIqTmPxo7em8DXtbV4FPQBnePJGk3vb101jKByJJhjvf3vEjpHMdslX9HebsSCBUlYvZphjy9LTCzBXXftcDPoMwPYDAZ9REQ0EJWWlmLJkiVKl0FE/YidfTTgdXR0YMuWLXj77bdRUFAg61oRXZ1+l5rrUNHq2U7B48aNQ1BQEAB1dKCpvUPO14/JlYkAngEQ5NZVixbdiH/+804EBWllqYrksXp1Bv72t6MwGt35PWIG8G8AR2SqioiISP0EQcCePXswZ84cpUshon7AsI+oi8FgwJdffonly5cjPz9f1rUEwOHGHc4EBQVh/PjxDOdUfCzn65Ij4wE8CyDYratuv30Utm//La66apDrk0lRer0RzzxzEJs25bl5pRnAlwCOyVAVERGRbxkzZgyys7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"
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386 |                transform="matrix(1,0,0,-1,0,1)"
387 |                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405 |                transform="matrix(1,0,0,-1,0,1)"
406 |                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"
407 |                id="image192" />
408 |           </g>
409 |         </g>
410 |       </g>
411 |     </g>
412 |   </g>
413 | </svg>
414 | 


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