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matlab software performance  (MathWorks Inc)


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    MathWorks Inc matlab software performance
    Matlab Software Performance, 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/matlab+2020a+software/MATLAB+Compiler/pm39476000-74-9-9
    Average 96 stars, based on 324 article reviews
    matlab software performance - 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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    ( a ) TMS was applied to the left motor cortex to elicit MEPs in the right tibialis anterior. ( b ) <t>NeuroNavigation</t> setup for hotspot targeting. A custom-built Neuronavigation software, using infrared camera-based motion capture markers, tracked the position and orientation of a double-cone coil to consistently target the tibialis anterior hotspot before and after each training session. ( c ) Average MEP responses at rest before and after training for a representative participant (MS004) illustrate increases in response amplitude following motor skill training. ( d ) Corresponding recruitment curve of ( c ). MEP amplitudes increased across multiple TMS intensities (100%, 150%, 180%, 200%) after training. ( e ) Percent change in MEP amplitude during pre-activation and rest conditions. The left panel shows percent changes in MEP amplitude during the pre-activation condition (15% dorsiflexion), and the right panel shows percent changes during rest. Both plots represent group-level responses across all participants following motor skill and isometric resistance training. ( f ) Training-induced changes across evaluation conditions. MEP amplitude increases following both training protocols during specific conditions. Asterisks above the bars denote post-hoc paired Bonferroni-corrected significance values for interactions between training types and evaluation conditions: *p < 0.05, **p < 0.01, *** p < 0.001, ‘n.s.’ p > 0.05. (Significant) ‘X’ markers below the plot in ( f ) indicate Bonferroni-corrected significant training effects within each condition of MEP percent change based on one-sample tests against µ = 0 (‘X’ p < 0.05, ‘XX’ p < 0.01, ‘n.s.’ p > 0.05).
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    ( a ) TMS was applied to the left motor cortex to elicit MEPs in the right tibialis anterior. ( b ) NeuroNavigation setup for hotspot targeting. A custom-built Neuronavigation software, using infrared camera-based motion capture markers, tracked the position and orientation of a double-cone coil to consistently target the tibialis anterior hotspot before and after each training session. ( c ) Average MEP responses at rest before and after training for a representative participant (MS004) illustrate increases in response amplitude following motor skill training. ( d ) Corresponding recruitment curve of ( c ). MEP amplitudes increased across multiple TMS intensities (100%, 150%, 180%, 200%) after training. ( e ) Percent change in MEP amplitude during pre-activation and rest conditions. The left panel shows percent changes in MEP amplitude during the pre-activation condition (15% dorsiflexion), and the right panel shows percent changes during rest. Both plots represent group-level responses across all participants following motor skill and isometric resistance training. ( f ) Training-induced changes across evaluation conditions. MEP amplitude increases following both training protocols during specific conditions. Asterisks above the bars denote post-hoc paired Bonferroni-corrected significance values for interactions between training types and evaluation conditions: *p < 0.05, **p < 0.01, *** p < 0.001, ‘n.s.’ p > 0.05. (Significant) ‘X’ markers below the plot in ( f ) indicate Bonferroni-corrected significant training effects within each condition of MEP percent change based on one-sample tests against µ = 0 (‘X’ p < 0.05, ‘XX’ p < 0.01, ‘n.s.’ p > 0.05).

    Journal: bioRxiv

    Article Title: Transient effects in corticospinal and reticulospinal tract excitability induced by motor skill and isometric resistance training

    doi: 10.1101/2025.05.21.655351

    Figure Lengend Snippet: ( a ) TMS was applied to the left motor cortex to elicit MEPs in the right tibialis anterior. ( b ) NeuroNavigation setup for hotspot targeting. A custom-built Neuronavigation software, using infrared camera-based motion capture markers, tracked the position and orientation of a double-cone coil to consistently target the tibialis anterior hotspot before and after each training session. ( c ) Average MEP responses at rest before and after training for a representative participant (MS004) illustrate increases in response amplitude following motor skill training. ( d ) Corresponding recruitment curve of ( c ). MEP amplitudes increased across multiple TMS intensities (100%, 150%, 180%, 200%) after training. ( e ) Percent change in MEP amplitude during pre-activation and rest conditions. The left panel shows percent changes in MEP amplitude during the pre-activation condition (15% dorsiflexion), and the right panel shows percent changes during rest. Both plots represent group-level responses across all participants following motor skill and isometric resistance training. ( f ) Training-induced changes across evaluation conditions. MEP amplitude increases following both training protocols during specific conditions. Asterisks above the bars denote post-hoc paired Bonferroni-corrected significance values for interactions between training types and evaluation conditions: *p < 0.05, **p < 0.01, *** p < 0.001, ‘n.s.’ p > 0.05. (Significant) ‘X’ markers below the plot in ( f ) indicate Bonferroni-corrected significant training effects within each condition of MEP percent change based on one-sample tests against µ = 0 (‘X’ p < 0.05, ‘XX’ p < 0.01, ‘n.s.’ p > 0.05).

    Article Snippet: A custom-built NeuroNavigation software (Matlab 2020a, USA) integrated with Qualisys Track Manager (v2021.1, build 6350, Sweden) was used to identify and recall the right tibialis anterior activation hotspot at baseline and after training ( ).

    Techniques: Software, Activation Assay