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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 326 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 326 article reviews
    matlab software performance - by Bioz Stars, 2026-11
    96/100 stars

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    Related Articles

    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: 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: Field Resistance to Powdery Mildew in Lycium barbarum Germplasm, Associated Leaf Anatomical Traits, and Temporal Physiological Responses in Ningqi-1
    Article Snippet: Nonlinear fitting of the continuously monitored disease index (DI) data was performed using MATLAB Compiler Runtime 8.3 (R2014a; The MathWorks, Inc., Natick, MA, USA) with four sigmoidal equations: (1) logistic(x) = (A1 − A2)/(1 + (x/x0)p) + A2; (2) slogistic1(x) = a/(1 + exp(−k × (x − xc))); (3) slogistic2(x) = a/(1 + ((a − y0)/y0) × exp(−4 × Wmax × x/a)); and (4) slogistic3(x) = a/(1 + b × exp(−k × x)).

    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 ( ). ..

    Analysis:

    Article Title: Thiolactone ring dynamics in dimeric lipids enable pH-switchable supramolecular tuning in surface-engineered quantum dots.
    Article Snippet: aSchool of Applied and Interdisciplinary Sciences, Indian Association for the Cultivation of Science, Kolkata 700032, India.. bDepartment of Chemical Sciences, Indian Institute of Science Education and Research Berhampur, Ganjam, Odisha 760003, India cSchool of Materials Sciences, Indian Association for the Cultivation of Science, Kolkata 700032, India.. dDepartment of Organic Chemistry, Indian Institute of Science, Bangalore 560012, India.

    Software:

    Article Title: Thiolactone ring dynamics in dimeric lipids enable pH-switchable supramolecular tuning in surface-engineered quantum dots.
    Article Snippet: aSchool of Applied and Interdisciplinary Sciences, Indian Association for the Cultivation of Science, Kolkata 700032, India.. bDepartment of Chemical Sciences, Indian Institute of Science Education and Research Berhampur, Ganjam, Odisha 760003, India cSchool of Materials Sciences, Indian Association for the Cultivation of Science, Kolkata 700032, India.. dDepartment of Organic Chemistry, Indian Institute of Science, Bangalore 560012, India.



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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