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proof implementation » prior implementations (Expand Search), pilot implementation (Expand Search), pre implementation (Expand Search)
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Complex Eigenvalues, Orthogonality, and QR Factorization: Analytical Proofs and Numerical Verification
Published 2025“…The work includes both analytical proofs and numerical verification to ensure reproducibility and clarity.…”
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Developed Python Scripts and ArcGIS Pro Toolbox for Identifying Active Centres
Published 2020“…<div>Newly developed Python Scripts and ArcGIS Pro 2.4.3 toolbox for a semi-automated workflow for Identification of Active Centres. …”
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Data features examined for potential biases.
Published 2025“…<div><p><b>Objective:</b> To challenge clinicians and informaticians to learn about potential sources of bias in medical machine learning models through investigation of data and predictions from an open-source severity of illness score.…”
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Analysis topics.
Published 2025“…<div><p><b>Objective:</b> To challenge clinicians and informaticians to learn about potential sources of bias in medical machine learning models through investigation of data and predictions from an open-source severity of illness score.…”
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Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool
Published 2024“…This tool represents a significant advancement in the realm of <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>secure code sharing</b></a>, providing a robust solution for modern Python programming challenges.…”
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Python-Based Algorithm for Estimating the Parameters of Physical Property Models for Substances Not Available in Database
Published 2024“…The parameters for estimating the enthalpy of vaporization using the current Python-based algorithm accurately represented the behavior of the actual substances, as determined using the Clausius–Claperyon equation. …”
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Comparison of performance between our next reaction implementation and the Python library from Ref. [3].
Published 2025“…<p>We simulate SIR epidemic processes on Watts-Strogatz networks with parameters <i>k</i><sub>0</sub> = 5, <i>p</i> = 0.1 <b>(a)</b> and Barabási-Albert networks with parameter <i>m</i> = 5 <b>(b)</b> using the Python wrapper of our C++ implementation and compare its performance with the Python library from Ref. …”