Search alternatives:
modular implementation » model implementation (Expand Search), world implementation (Expand Search)
tool implementing » model implementing (Expand Search), trial implementing (Expand Search), from implementing (Expand Search)
modular implementation » model implementation (Expand Search), world implementation (Expand Search)
tool implementing » model implementing (Expand Search), trial implementing (Expand Search), from implementing (Expand Search)
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Simple implementation examples of agent AI on free energy calculation and phase-field simulation
Published 2025“…</p> <p>Using Gibbs energy calculations and diffusion simulations as examples, we demonstrated the implementation method and usefulness of simple agent AI, where sample python codes are distributed as supplemental materials.…”
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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“…<p><b>(a)</b> UMAP, t-SNE, PCA, and Diffmap were first generated using the Python libraries Scikit-learn, UMAP, and PyDiffmap within Jupyter to generate static graphs as a starting point. …”
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Design and Implementation of a Browser-Based Toolfor Protecting Gaming Assets from UnauthorizedAccess
Published 2025“…<p dir="ltr">The project <b>“Design and Implementation of a Browser-Based Tool for Protecting Gaming Assets from Unauthorized Access”</b> focuses on developing a security-oriented software solution that safeguards digital game assets within browser environments.…”
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DataSheet1_Prostruc: an open-source tool for 3D structure prediction using homology modeling.PDF
Published 2024“…</p>Methods<p>Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline. …”
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DataSheet1_Prostruc: an open-source tool for 3D structure prediction using homology modeling.PDF
Published 2024“…</p>Methods<p>Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline. …”
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Workflow of a typical Epydemix run.
Published 2025“…<div><p>We present Epydemix, an open-source Python package for the development and calibration of stochastic compartmental epidemic models. …”
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Data Sheet 1_COCαDA - a fast and scalable algorithm for interatomic contact detection in proteins using Cα distance matrices.pdf
Published 2025“…Here, we introduce COCαDA (COntact search pruning by Cα Distance Analysis), a Python-based command-line tool for improving search pruning in large-scale interatomic protein contact analysis using alpha-carbon (Cα) distance matrices. …”
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The format of the electrode csv file
Published 2025“…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”
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The format of the simulation reports
Published 2025“…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”
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The format of the weights file
Published 2025“…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”
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High-Throughput Mass Spectral Library Searching of Small Molecules in R with NIST MSPepSearch
Published 2025“…High-level programming languages such as Python and R are widely used in mass spectrometry data processing, where library searching is a standard step. …”
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Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis
Published 2025“…</b><code><strong>GenosophusV2.py</strong></code></h3><p dir="ltr">Executable Python implementation of the Genosophus Engine.</p><h3><b>2. …”
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Efficient, Hierarchical, and Object-Oriented Electronic Structure Interfaces for Direct Nonadiabatic Dynamics Simulations
Published 2025“…We present a novel, flexible framework for electronic structure interfaces designed for nonadiabatic dynamics simulations, implemented in Python 3 using concepts of object-oriented programming. …”
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Comparison data 7 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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Sample data for <i>Neolamprologus multifasciatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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Sample data for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
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Comparison data 3 for <i>Lamprologus ocellatus</i>.
Published 2024“…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”