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evaluation/badges.html

@@ -266,7 +266,7 @@ <h1 class="title">Journal badges</h1>
 <p><em>Caveat: Please note that these criteria are based on available information about each badge online. Moreover, we focus only on reproduction of the discrete-event simulation, and not on other aspects of the article. We cannot guarantee that the badges below would have been awarded in practice by these journals.</em></p>
 <section id="criteria" class="level2">
 <h2 class="anchored" data-anchor-id="criteria">Criteria</h2>
-<div id="1efe33f6" class="cell" data-execution_count="1">
+<div id="c6080bd1" class="cell" data-execution_count="1">
 <details class="code-fold">
 <summary>Code</summary>
 <div class="sourceCode cell-code" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> IPython.display <span class="im">import</span> display, Markdown</span>
@@ -397,7 +397,7 @@ <h2 class="anchored" data-anchor-id="criteria">Criteria</h2>
 </section>
 <section id="badges" class="level2">
 <h2 class="anchored" data-anchor-id="badges">Badges</h2>
-<div id="ab4b59fc" class="cell" data-execution_count="2">
+<div id="2cefd415" class="cell" data-execution_count="2">
 <details class="code-fold">
 <summary>Code</summary>
 <div class="sourceCode cell-code" id="cb2"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Full badge names</span></span>

evaluation/scope.html

@@ -248,7 +248,7 @@ <h2 class="anchored" data-anchor-id="within-scope">Within scope</h2>
 <div class="callout-body-container callout-body">
 <div class="quarto-figure quarto-figure-center">
 <figure class="figure">
-<p><a href="../original_study/fig2.jpg" class="lightbox" data-gallery="quarto-lightbox-gallery-1" data-glightbox="description: .lightbox-desc-1" title="FIGURE 2 | Patient wait time under various simulation scenarios (A). Baseline scenario simulated using inputs from Table 1 (B). Exclusive-use scenario: IR patients can only utilize angioIR (C). Two angioINRs scenario: 2 angioINRs, no angioIRs. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. @huang_optimizing_2019"><img src="../original_study/fig2.jpg" class="img-fluid figure-img" style="width:80.0%" alt="FIGURE 2 | Patient wait time under various simulation scenarios (A). Baseline scenario simulated using inputs from Table 1 (B). Exclusive-use scenario: IR patients can only utilize angioIR (C). Two angioINRs scenario: 2 angioINRs, no angioIRs. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. Huang et al. (2019)"></a></p>
+<p><a href="../original_study/fig2.jpg" class="lightbox" data-glightbox="description: .lightbox-desc-1" data-gallery="quarto-lightbox-gallery-1" title="FIGURE 2 | Patient wait time under various simulation scenarios (A). Baseline scenario simulated using inputs from Table 1 (B). Exclusive-use scenario: IR patients can only utilize angioIR (C). Two angioINRs scenario: 2 angioINRs, no angioIRs. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. @huang_optimizing_2019"><img src="../original_study/fig2.jpg" class="img-fluid figure-img" style="width:80.0%" alt="FIGURE 2 | Patient wait time under various simulation scenarios (A). Baseline scenario simulated using inputs from Table 1 (B). Exclusive-use scenario: IR patients can only utilize angioIR (C). Two angioINRs scenario: 2 angioINRs, no angioIRs. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. Huang et al. (2019)"></a></p>
 <figcaption>FIGURE 2 | Patient wait time under various simulation scenarios (A). Baseline scenario simulated using inputs from Table 1 (B). Exclusive-use scenario: IR patients can only utilize angioIR (C). Two angioINRs scenario: 2 angioINRs, no angioIRs. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. <span class="citation" data-cites="huang_optimizing_2019">Huang et al. (<a href="#ref-huang_optimizing_2019" role="doc-biblioref">2019</a>)</span></figcaption>
 </figure>
 </div>
@@ -269,7 +269,7 @@ <h2 class="anchored" data-anchor-id="within-scope">Within scope</h2>
 <div class="callout-body-container callout-body">
 <div class="quarto-figure quarto-figure-center">
 <figure class="figure">
-<p><a href="../original_study/fig3.jpg" class="lightbox" data-gallery="quarto-lightbox-gallery-2" data-glightbox="description: .lightbox-desc-2" title="FIGURE 3 | The effect of increasing working hours on ECR patient wait time at angioINR (A). Baseline scenario (B). Exclusive-use scenario (C). Two angioINRs scenario. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. @huang_optimizing_2019"><img src="../original_study/fig3.jpg" class="img-fluid figure-img" style="width:80.0%" alt="FIGURE 3 | The effect of increasing working hours on ECR patient wait time at angioINR (A). Baseline scenario (B). Exclusive-use scenario (C). Two angioINRs scenario. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. Huang et al. (2019)"></a></p>
+<p><a href="../original_study/fig3.jpg" class="lightbox" data-glightbox="description: .lightbox-desc-2" data-gallery="quarto-lightbox-gallery-2" title="FIGURE 3 | The effect of increasing working hours on ECR patient wait time at angioINR (A). Baseline scenario (B). Exclusive-use scenario (C). Two angioINRs scenario. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. @huang_optimizing_2019"><img src="../original_study/fig3.jpg" class="img-fluid figure-img" style="width:80.0%" alt="FIGURE 3 | The effect of increasing working hours on ECR patient wait time at angioINR (A). Baseline scenario (B). Exclusive-use scenario (C). Two angioINRs scenario. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. Huang et al. (2019)"></a></p>
 <figcaption>FIGURE 3 | The effect of increasing working hours on ECR patient wait time at angioINR (A). Baseline scenario (B). Exclusive-use scenario (C). Two angioINRs scenario. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. <span class="citation" data-cites="huang_optimizing_2019">Huang et al. (<a href="#ref-huang_optimizing_2019" role="doc-biblioref">2019</a>)</span></figcaption>
 </figure>
 </div>
@@ -290,7 +290,7 @@ <h2 class="anchored" data-anchor-id="within-scope">Within scope</h2>
 <div class="callout-body-container callout-body">
 <div class="quarto-figure quarto-figure-center">
 <figure class="figure">
-<p><a href="../original_study/fig4.jpg" class="lightbox" data-gallery="quarto-lightbox-gallery-3" data-glightbox="description: .lightbox-desc-3" title="FIGURE 4 | Disability-free life gained under various scenarios. @huang_optimizing_2019"><img src="../original_study/fig4.jpg" class="img-fluid figure-img" style="width:80.0%" alt="FIGURE 4 | Disability-free life gained under various scenarios. Huang et al. (2019)"></a></p>
+<p><a href="../original_study/fig4.jpg" class="lightbox" data-glightbox="description: .lightbox-desc-3" data-gallery="quarto-lightbox-gallery-3" title="FIGURE 4 | Disability-free life gained under various scenarios. @huang_optimizing_2019"><img src="../original_study/fig4.jpg" class="img-fluid figure-img" style="width:80.0%" alt="FIGURE 4 | Disability-free life gained under various scenarios. Huang et al. (2019)"></a></p>
 <figcaption>FIGURE 4 | Disability-free life gained under various scenarios. <span class="citation" data-cites="huang_optimizing_2019">Huang et al. (<a href="#ref-huang_optimizing_2019" role="doc-biblioref">2019</a>)</span></figcaption>
 </figure>
 </div>
@@ -311,7 +311,7 @@ <h2 class="anchored" data-anchor-id="within-scope">Within scope</h2>
 <div class="callout-body-container callout-body">
 <div class="quarto-figure quarto-figure-center">
 <figure class="figure">
-<p><a href="../original_study/fig5.jpg" class="lightbox" data-gallery="quarto-lightbox-gallery-4" data-glightbox="description: .lightbox-desc-4" title="FIGURE 5 | A comparison of the utilization of angioINR by ECR patients under various scenarios. @huang_optimizing_2019"><img src="../original_study/fig5.jpg" class="img-fluid figure-img" style="width:80.0%" alt="FIGURE 5 | A comparison of the utilization of angioINR by ECR patients under various scenarios. Huang et al. (2019)"></a></p>
+<p><a href="../original_study/fig5.jpg" class="lightbox" data-glightbox="description: .lightbox-desc-4" data-gallery="quarto-lightbox-gallery-4" title="FIGURE 5 | A comparison of the utilization of angioINR by ECR patients under various scenarios. @huang_optimizing_2019"><img src="../original_study/fig5.jpg" class="img-fluid figure-img" style="width:80.0%" alt="FIGURE 5 | A comparison of the utilization of angioINR by ECR patients under various scenarios. Huang et al. (2019)"></a></p>
 <figcaption>FIGURE 5 | A comparison of the utilization of angioINR by ECR patients under various scenarios. <span class="citation" data-cites="huang_optimizing_2019">Huang et al. (<a href="#ref-huang_optimizing_2019" role="doc-biblioref">2019</a>)</span></figcaption>
 </figure>
 </div>
@@ -332,7 +332,7 @@ <h2 class="anchored" data-anchor-id="within-scope">Within scope</h2>
 <div class="callout-body-container callout-body">
 <div class="quarto-figure quarto-figure-center">
 <figure class="figure">
-<p><a href="../original_study/supp.jpg" class="lightbox" data-gallery="quarto-lightbox-gallery-5" data-glightbox="description: .lightbox-desc-5" title="Supplementary Figure | Increasing ECR patient volume on service bottleneck. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. (A) Baseline scenario. (B) Doubling ECR patients in baseline scenario. (C) Tripping ECR patients in baseline scenario. @huang_optimizing_2019"><img src="../original_study/supp.jpg" class="img-fluid figure-img" style="width:80.0%" alt="Supplementary Figure | Increasing ECR patient volume on service bottleneck. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. (A) Baseline scenario. (B) Doubling ECR patients in baseline scenario. (C) Tripping ECR patients in baseline scenario. Huang et al. (2019)"></a></p>
+<p><a href="../original_study/supp.jpg" class="lightbox" data-glightbox="description: .lightbox-desc-5" data-gallery="quarto-lightbox-gallery-5" title="Supplementary Figure | Increasing ECR patient volume on service bottleneck. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. (A) Baseline scenario. (B) Doubling ECR patients in baseline scenario. (C) Tripping ECR patients in baseline scenario. @huang_optimizing_2019"><img src="../original_study/supp.jpg" class="img-fluid figure-img" style="width:80.0%" alt="Supplementary Figure | Increasing ECR patient volume on service bottleneck. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. (A) Baseline scenario. (B) Doubling ECR patients in baseline scenario. (C) Tripping ECR patients in baseline scenario. Huang et al. (2019)"></a></p>
 <figcaption>Supplementary Figure | Increasing ECR patient volume on service bottleneck. Standardized density of patients in queue: the probability density of patients who are waiting standardized to patients who are not waiting. (A) Baseline scenario. (B) Doubling ECR patients in baseline scenario. (C) Tripping ECR patients in baseline scenario. <span class="citation" data-cites="huang_optimizing_2019">Huang et al. (<a href="#ref-huang_optimizing_2019" role="doc-biblioref">2019</a>)</span></figcaption>
 </figure>
 </div>
@@ -405,7 +405,7 @@ <h2 class="anchored" data-anchor-id="outside-scope">Outside scope</h2>
 <p>Diagram of patient flow through the model.</p>
 <div class="quarto-figure quarto-figure-center">
 <figure class="figure">
-<p><a href="../original_study/fig1.jpg" class="lightbox" data-gallery="quarto-lightbox-gallery-6" data-glightbox="description: .lightbox-desc-6" title="FIGURE 1 | A schematic diagram of our discrete event model of an ECR service from Emergency to angiography suite. CT, Computed Tomography; AIS, Acute Ischemic Stroke; LVO, Large Vessel Occlusion; ECR, Endovascular Clot Retrieval; IR, Interventional Radiology; INR, Interventional Neuroradiology. @huang_optimizing_2019"><img src="../original_study/fig1.jpg" class="img-fluid figure-img" style="width:80.0%" alt="FIGURE 1 | A schematic diagram of our discrete event model of an ECR service from Emergency to angiography suite. CT, Computed Tomography; AIS, Acute Ischemic Stroke; LVO, Large Vessel Occlusion; ECR, Endovascular Clot Retrieval; IR, Interventional Radiology; INR, Interventional Neuroradiology. Huang et al. (2019)"></a></p>
+<p><a href="../original_study/fig1.jpg" class="lightbox" data-glightbox="description: .lightbox-desc-6" data-gallery="quarto-lightbox-gallery-6" title="FIGURE 1 | A schematic diagram of our discrete event model of an ECR service from Emergency to angiography suite. CT, Computed Tomography; AIS, Acute Ischemic Stroke; LVO, Large Vessel Occlusion; ECR, Endovascular Clot Retrieval; IR, Interventional Radiology; INR, Interventional Neuroradiology. @huang_optimizing_2019"><img src="../original_study/fig1.jpg" class="img-fluid figure-img" style="width:80.0%" alt="FIGURE 1 | A schematic diagram of our discrete event model of an ECR service from Emergency to angiography suite. CT, Computed Tomography; AIS, Acute Ischemic Stroke; LVO, Large Vessel Occlusion; ECR, Endovascular Clot Retrieval; IR, Interventional Radiology; INR, Interventional Neuroradiology. Huang et al. (2019)"></a></p>
 <figcaption>FIGURE 1 | A schematic diagram of our discrete event model of an ECR service from Emergency to angiography suite. CT, Computed Tomography; AIS, Acute Ischemic Stroke; LVO, Large Vessel Occlusion; ECR, Endovascular Clot Retrieval; IR, Interventional Radiology; INR, Interventional Neuroradiology. <span class="citation" data-cites="huang_optimizing_2019">Huang et al. (<a href="#ref-huang_optimizing_2019" role="doc-biblioref">2019</a>)</span></figcaption>
 </figure>
 </div>
@@ -427,7 +427,7 @@ <h2 class="anchored" data-anchor-id="outside-scope">Outside scope</h2>
 <p>Parameters for the model.</p>
 <div class="quarto-figure quarto-figure-center">
 <figure class="figure">
-<p><a href="../original_study/tab1.jpg" class="lightbox" data-gallery="quarto-lightbox-gallery-7" data-glightbox="description: .lightbox-desc-7" title="TABLE 1 | DES model inputs. (A) Human and physical resources. (B) Patient statistics. @huang_optimizing_2019"><img src="../original_study/tab1.jpg" class="img-fluid figure-img" style="width:80.0%" alt="TABLE 1 | DES model inputs. (A) Human and physical resources. (B) Patient statistics. Huang et al. (2019)"></a></p>
+<p><a href="../original_study/tab1.jpg" class="lightbox" data-glightbox="description: .lightbox-desc-7" data-gallery="quarto-lightbox-gallery-7" title="TABLE 1 | DES model inputs. (A) Human and physical resources. (B) Patient statistics. @huang_optimizing_2019"><img src="../original_study/tab1.jpg" class="img-fluid figure-img" style="width:80.0%" alt="TABLE 1 | DES model inputs. (A) Human and physical resources. (B) Patient statistics. Huang et al. (2019)"></a></p>
 <figcaption>TABLE 1 | DES model inputs. (A) Human and physical resources. (B) Patient statistics. <span class="citation" data-cites="huang_optimizing_2019">Huang et al. (<a href="#ref-huang_optimizing_2019" role="doc-biblioref">2019</a>)</span></figcaption>
 </figure>
 </div>
@@ -899,7 +899,7 @@ <h2 class="anchored" data-anchor-id="outside-scope">Outside scope</h2>
     </div>
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listings.json

@@ -2,8 +2,8 @@
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     "listing": "/logbook/logbook.html",
     "items": [
-      "/logbook/posts/2024_11_04/index.html",
       "/logbook/posts/2024_11_21/index.html",
+      "/logbook/posts/2024_11_04/index.html",
       "/logbook/posts/2024_10_02/index.html",
       "/logbook/posts/2024_09_03/index.html",
       "/logbook/posts/2024_08_15/index.html",