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diff --git a/2023fall CS PhD 美国申请总结 by Flash/index.html b/2023fall CS PhD 美国申请总结 by Flash/index.html
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 <h1 id="2023fall-cs-phd-by-flash">2023fall CS PhD 美国申请总结 by Flash</h1>
 <p>Coming Soon, test image upload</p>
-<p><a class="glightbox" href="https://user-images.githubusercontent.com/48356412/219956427-a4de1f24-1675-44d2-af57-cf5fba6d26ed.jpg" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="sprouts-in-the-shape-of-text-imagen" src="https://user-images.githubusercontent.com/48356412/219956427-a4de1f24-1675-44d2-af57-cf5fba6d26ed.jpg" /></a></p>
+<p><a class="glightbox" href="https://user-images.githubusercontent.com/48356412/219956427-a4de1f24-1675-44d2-af57-cf5fba6d26ed.jpg" data-type="image" data-width="auto" data-height="auto" data-desc-position="bottom"><img alt="sprouts-in-the-shape-of-text-imagen" src="https://user-images.githubusercontent.com/48356412/219956427-a4de1f24-1675-44d2-af57-cf5fba6d26ed.jpg" /></a></p>
 <p><a class="md-button" href="../blog/">回到列表 <span class="twemoji"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 576 512"><!--! Font Awesome Free 6.5.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2023 Fonticons, Inc.--><path d="M575.8 255.5c0 18-15 32.1-32 32.1h-32l.7 160.2c0 2.7-.2 5.4-.5 8.1V472c0 22.1-17.9 40-40 40h-16c-1.1 0-2.2 0-3.3-.1-1.4.1-2.8.1-4.2.1H392c-22.1 0-40-17.9-40-40v-88c0-17.7-14.3-32-32-32h-64c-17.7 0-32 14.3-32 32v88c0 22.1-17.9 40-40 40h-55.9c-1.5 0-3-.1-4.5-.2-1.2.1-2.4.2-3.6.2h-16c-22.1 0-40-17.9-40-40V360c0-.9 0-1.9.1-2.8v-69.6H32c-18 0-32-14-32-32.1 0-9 3-17 10-24L266.4 8c7-7 15-8 22-8s15 2 21 7l255.4 224.5c8 7 12 15 11 24z"/></svg></span></a></p>
 
 

diff --git a/22fall申请季总结 by Flash/index.html b/22fall申请季总结 by Flash/index.html
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@@ -4943,7 +4943,7 @@ <h3 id="_6">倒三角选校</h3>
 <p>为了避免以上这些情况，倒三角选校法是非常好用的应对办法。</p>
 <p><strong>TLDR：选校数量彩票&gt;冲刺&gt;保底&gt;=主申，保底留足，彩票多抽，去掉不适合自己的和明显送钱的</strong></p>
 <p>倒三角选校能够成立的意义是因为<strong>难度是波函数</strong>，这里借用一下量子力学的概念（哈哈哈仅用作说明，很可能物理上并不准确）</p>
-<p><a class="glightbox" href="https://user-images.githubusercontent.com/48356412/220142098-9d489a74-5aa5-405a-b31b-07e325d9d05e.png" data-type="image" data-width="100%" data-height="auto" data-desc-position="bottom"><img alt="image" src="https://user-images.githubusercontent.com/48356412/220142098-9d489a74-5aa5-405a-b31b-07e325d9d05e.png" /></a></p>
+<p><a class="glightbox" href="https://user-images.githubusercontent.com/48356412/220142098-9d489a74-5aa5-405a-b31b-07e325d9d05e.png" data-type="image" data-width="auto" data-height="auto" data-desc-position="bottom"><img alt="image" src="https://user-images.githubusercontent.com/48356412/220142098-9d489a74-5aa5-405a-b31b-07e325d9d05e.png" /></a></p>
 <p>每个项目的申请难度就像电子云一样（不过会更高维），我们无法观测到固定的难度，只能观测到一个个的dp。作为一个申请者你的所有申请feature，包括申请年份，软硬背景，文书这些因素联合在一起，能够确定你在空间中的位置（每个feature都是一个维度）。图中各个点就像往年录取的不同的申请人一样，有的部分稠密，可能是这部分申请人的GPA 90+，有的部分稀疏，可能是因为这部分申请人的TOEFL没过百。而径向分布曲线也是这样，单看某一个维度如GPA，录取结果经常是长尾的，录取的大部分人都是中高GPA，尾巴上低GPA也会有少量录取，可能是因为他们的其他背景足够精彩。而且不同项目的申请难度电子云的分布都不同，因为会有不同的申请者和不同的录取偏好。</p>
 <p>而我们一般判断自己能不能录取一个项目是根据自己位置来进行的，比如根据dp在各个维度上取一定置信度的bar，然后这些维度的bar可以围成一个bounding box，自己的位置在这个bounding box内，几乎是非常稳的；离这个bounding box偏移不远，录取的概率就不小（因为各个维度的加权方式是不可知的）。</p>
 <p>我相信这个模型是选校录取dp非常好的可视化。引入这个模型是为了说明</p>

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diff --git a/CS Align@NEU/index.html b/CS Align@NEU/index.html
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