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after implementation » assess implementation (Expand Search), time implementation (Expand Search), model implementation (Expand Search)
plot representing » thus representing (Expand Search)
after implementation » assess implementation (Expand Search), time implementation (Expand Search), model implementation (Expand Search)
plot representing » thus representing (Expand Search)
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A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me...
Published 2025“…<b>(b)</b> After SpatioView: due to PyScript constraints, PCA and t-SNE were implemented as viable dimensionality reduction methods in an HTML-based interface. …”
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Local Python Code Protector Script: A Tool for Source Code Protection and Secure Code Sharing
Published 2024“…</p><h2>Key Features</h2><ul><li><a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Code Obfuscation in Python</b></a>: Implements multi-level protection with dynamic encryption and obfuscation techniques, making it an effective <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Python obfuscator</b></a>.…”
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PTPC-UHT bounce
Published 2025“…</p><p dir="ltr">Included files:</p><ul><li>Python source code (<code>PTPC_UHT_bounce.py</code>)</li><li>Parameter sets for representative runs (α,β,Tcrit,V(T)\alpha, \beta, T_{\mathrm{crit}}, V(T)α,β,Tcrit,V(T))</li><li>Output arrays of trajectories across multiple bounces</li><li>Multi-panel plots (PNG/PDF) for a(t)a(t)a(t), H(t)H(t)H(t), T(t)T(t)T(t), S(t)S(t)S(t), R(t)R(t)R(t), and ρT\rho_TρT</li></ul><p dir="ltr">This dataset ensures full reproducibility of the PTPC simulations and provides a starting point for independent verification, parameter exploration, and future model extensions.…”
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Data for "A hollow fiber membrane permeance evaluation device demonstrating outside-in and inside-out performance differences"
Published 2025“…</li><li>Flux decline data generated by the analysis software.</li><li>Plot data derived from the above data sources.</li><li>Python code to generate figures from the plot data.…”
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