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hard disk drive 116 includes matlab simulink simulation modeling tool 202  (MathWorks Inc)


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    MathWorks Inc hard disk drive 116 includes matlab simulink simulation modeling tool 202
    Hard Disk Drive 116 Includes Matlab Simulink Simulation Modeling Tool 202, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 324 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/simulation+modeling+tool+matlab/MATLAB+Compiler/us08990767-76-0-5
    Average 96 stars, based on 324 article reviews
    hard disk drive 116 includes matlab simulink simulation modeling tool 202 - by Bioz Stars, 2026-09
    96/100 stars

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    other:

    Article Title: An Integrated Framework for Automated Image Segmentation and Personalized Wall Stress Estimation of Abdominal Aortic Aneurysms.
    Article Snippet: The script can be compiled into a standalone executable (e.g., via MATLAB Compiler) that runs with the free MATLAB Runtime, so end users do not require a MATLAB license [45].

    Article Title: RUBAT Studio: A Unified Workbench for Multichannel Bioacoustic Data Acquisition
    Article Snippet: RUBAT Studio v4.0 was packaged using the MATLAB Application Compiler to produce standalone executables requiring only the freely distributable MATLAB Runtime.

    Article Title: Autophagy dysfunction in iPSCs-derived neurons and midbrain organoids carrying a SNCA triplication.
    Article Snippet: Neural stat compiler files were used for data analysis in MATLAB.

    Article Title: Predicting Cell Adhesion States on Nanopillar Arrays with a Nano‐Bio Interface Model: From Modeling to Functional Device Design
    Article Snippet: Nanopillar arrays (NAs) are widely employed as versatile nanostructures for biological applications.. Cells on NAs adopt three adhesion states—“top”, “middle”, and “bottom”—each corresponding to distinct biological functions.. Although these adhesion states are influenced by NAs geometry, existing models overlook the role of the membrane reservoir—an intrinsic cellular property—in regulating membrane tension during cell settling, resulting in an incomplete mechanistic understanding and limited predictive capability.

    Article Title: An Integrated Framework for Automated Image Segmentation and Personalized Wall Stress Estimation of Abdominal Aortic Aneurysms
    Article Snippet: The script can be compiled into a standalone executable (e.g., via MATLAB Compiler) that runs with the free MATLAB Runtime, so end users do not require a MATLAB license [ ].

    Generated:

    Article Title: WAH- i : Optimising Microphone Array Geometry for Customised Localisation Accuracy
    Article Snippet: .. To support deployment beyond a MATLAB development environment, standalone executables were generated using the MATLAB Compiler ( ). ..



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    The minimal physiologically‐based pharmacokinetic ( <t>mPBPK</t> ) models that are used in ATLAS mPBPK. ( a ) mPBPK model for small molecules. ( b ) mPBPK model for large molecules with no target binding. ( c ) mPBPK model for large molecules with target binding in plasma (interstitial fluid). ( d ) mPBPK model for large molecules with target binding in peripheral tissues. Parameters' names and typical values are shown in Table . EV, extravascular; IV, intravenous; PO, oral.
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    The minimal physiologically‐based pharmacokinetic ( mPBPK ) models that are used in ATLAS mPBPK. ( a ) mPBPK model for small molecules. ( b ) mPBPK model for large molecules with no target binding. ( c ) mPBPK model for large molecules with target binding in plasma (interstitial fluid). ( d ) mPBPK model for large molecules with target binding in peripheral tissues. Parameters' names and typical values are shown in Table . EV, extravascular; IV, intravenous; PO, oral.

    Journal: CPT: Pharmacometrics & Systems Pharmacology

    Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models

    doi: 10.1002/psp4.12441

    Figure Lengend Snippet: The minimal physiologically‐based pharmacokinetic ( mPBPK ) models that are used in ATLAS mPBPK. ( a ) mPBPK model for small molecules. ( b ) mPBPK model for large molecules with no target binding. ( c ) mPBPK model for large molecules with target binding in plasma (interstitial fluid). ( d ) mPBPK model for large molecules with target binding in peripheral tissues. Parameters' names and typical values are shown in Table . EV, extravascular; IV, intravenous; PO, oral.

    Article Snippet: In this tutorial, we present a MATLAB‐based tool for the modeling and simulation of mPBPK models (ATLAS mPBPK).

    Techniques: Binding Assay, Clinical Proteomics

    Concordance of simulated ATLAS mPBPK small‐molecule model values based on pharmacokinetic data of beta‐lactams. Figure is not an output of ATLAS mPBPK but was constructed by processing ATLAS mPBPK simulation output using MATLAB.

    Journal: CPT: Pharmacometrics & Systems Pharmacology

    Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models

    doi: 10.1002/psp4.12441

    Figure Lengend Snippet: Concordance of simulated ATLAS mPBPK small‐molecule model values based on pharmacokinetic data of beta‐lactams. Figure is not an output of ATLAS mPBPK but was constructed by processing ATLAS mPBPK simulation output using MATLAB.

    Article Snippet: In this tutorial, we present a MATLAB‐based tool for the modeling and simulation of mPBPK models (ATLAS mPBPK).

    Techniques: Construct

    Demonstration of ATLAS mPBPK large‐molecule model based on PK data of Trastuzumab (target binding in peripheral tissues) and Mavrillimumab (target binding in plasma) for a range of doses. Figures are not an output of ATLAS mPBPK but were constructed by processing ATLAS mPBPK simulation output using MATLAB. c‐TMDD, Target mediated drug disposition in plasma (central); hr, hour; mPBPK, minimal physiologically‐based pharmacokinetic modeling; p‐TMDD, target‐mediated drug disposition in peripheral tissues.

    Journal: CPT: Pharmacometrics & Systems Pharmacology

    Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models

    doi: 10.1002/psp4.12441

    Figure Lengend Snippet: Demonstration of ATLAS mPBPK large‐molecule model based on PK data of Trastuzumab (target binding in peripheral tissues) and Mavrillimumab (target binding in plasma) for a range of doses. Figures are not an output of ATLAS mPBPK but were constructed by processing ATLAS mPBPK simulation output using MATLAB. c‐TMDD, Target mediated drug disposition in plasma (central); hr, hour; mPBPK, minimal physiologically‐based pharmacokinetic modeling; p‐TMDD, target‐mediated drug disposition in peripheral tissues.

    Article Snippet: In this tutorial, we present a MATLAB‐based tool for the modeling and simulation of mPBPK models (ATLAS mPBPK).

    Techniques: Binding Assay, Clinical Proteomics, Construct