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gui-matlab processing  (MathWorks Inc)


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    MathWorks Inc gui-matlab processing
    Gui Matlab Processing, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/processing+gui/10__1016_slash_j__jct__2024__107344-194-32-32
    Average 90 stars, based on 1 article reviews
    gui-matlab processing - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: The Influence of Structural Brain Changes on Cognition in the Context of Healthy Aging: Exploring Mediation Effects Through gBAT —The Graphical Brain Association Tool
    Article Snippet: The GUI leverages MATLAB's Image Processing Toolbox for efficient loading and processing of neuroimaging data.

    Article Title: Separation of 2-ethoxyethanol from wastewater by four esters: Correlation of LLE thermodynamic modeling, influence of molecular structure, and investigation of component interactions
    Article Snippet: To prevent the wastewater containing 2-ethoxyethanol (2EE) from causing environmental pollution and economic waste, liquid–liquid extraction was used to recover 2-ethoxyethanol from wastewater in this study.. The liquid–liquid equilibrium behavior of water + 2-ethoxyethanol + four solvents (propyl acetate, isopropyl acetate, n-butyl acetate, and isobutyl acetate) was investigated at 303.2 K and atmospheric pressure.. The distribution coefficient (D) and separation factor (S) were used to compare and discuss the extraction efficiency of each system.

    Article Title: Smartpaddle ® as a New Monitoring Feature: A Comparison Between Inertial Measurement Unit- and Strain Gauge-Based Devices on Tethered Swimming Forces
    Article Snippet: Furthermore, it is important to mention that the data processing algorithm (via closed MATLAB GUI [graphical user interface]) of the Smartpaddle ® has not been published, making access to raw data impossible.

    Article Title: Oscillating flow around a circular cylindrical post confined between two parallel plates
    Article Snippet: In addition, the velocity and vorticity fields were also determined using Particle Image Velocimetry (PIV) analysis, applying the MATLAB toolbox PIVlab GUI Thielicke and Stamhuis [2014] to couples of images acquired at an interval of time, Δ𝑡 = 1/ 𝑓 .

    Article Title: Plasma-derived Extracellular Vesicles (EVs) as Biomarkers of Sepsis in Burn Patients via Label-free Raman Spectroscopy
    Article Snippet: Spectral processing was performed using an in-house spectral processing GUI script built with MATLAB and carried out using MATLAB r2020b (MathWorks; MA, USA).

    Article Title: Peripheral Skeletal Muscle Alterations in Adults Born Preterm: An Observational Comparative Study
    Article Snippet: Muscle area and echogenicity analyses were performed by a single operator using a custom program (USLBP_GUI; version R2018b) developed with MATLAB’s Image Processing Toolbox (The MathWorks Inc., Natick, MA, USA), as used in previous studies (Supplemental figure 2) ( ) Muscle area and thickness were normalized to the body mass index (BMI)( ).

    Article Title: Plasma-derived extracellular vesicles (EVs) as biomarkers of sepsis in burn patients via label-free Raman spectroscopy.
    Article Snippet: Following spectral processing, an average spectrum for each standard was made by averaging the four acquisitions. . Raman spectral processing Spectral processing was performed using an in-house spectral processing GUI script built with MATLAB and carried out using MATLAB r2020b (MathWorks; MA, USA).

    Article Title: Plasma‐derived extracellular vesicles (EVs) as biomarkers of sepsis in burn patients via label‐free Raman spectroscopy
    Article Snippet: Spectral processing was performed using an in‐house spectral processing GUI script built with MATLAB and carried out using MATLAB r2020b (MathWorks; MA, USA).



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    (A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) <t>Graphical</t> <t>User</t> <t>Interface</t> <t>(GUI)</t> is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.
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    (A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) Graphical User Interface (GUI) is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.

    Journal: Human Brain Mapping

    Article Title: The Influence of Structural Brain Changes on Cognition in the Context of Healthy Aging: Exploring Mediation Effects Through gBAT —The Graphical Brain Association Tool

    doi: 10.1002/hbm.70038

    Figure Lengend Snippet: (A) Path diagram showing the mediation analyses that were performed to understand the influence of age on cognition through reductions in brain volume. Age was used as the predictor, either total MoCA score or one of six subscores were used as the outcome variable, and regional brain volume across 189 regions was used as the mediator in a robust ordinary least squares mediation model. Path a assesses the effect of age on brain volume. Path b assesses the effect of ROI‐wise brain volume on MoCA scores after controlling for age. Path c assesses the direct effect of age on MoCA. Path c' assesses the effect of age on MoCA after controlling for the mediator. Path ab assesses the indirect effect of age on MoCA through brain volume. (B) Graphical User Interface (GUI) is displayed which enables user‐friendly way of performing ROI‐based whole‐brain mediation analysis by entering behavioral data and preprocessed brain scans. As illustrated on the right, the results can be automatically visualized on brain figures by adjusting the GUI settings accordingly.

    Article Snippet: The GUI leverages MATLAB's Image Processing Toolbox for efficient loading and processing of neuroimaging data.

    Techniques: