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matlab simulink r2015a software  (MathWorks Inc)


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    MathWorks Inc matlab simulink r2015a software
    Matlab Simulink R2015a Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 94/100, based on 97 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab+r2015a/Simulink+Requirements/pm41273486-104-6-7
    Average 94 stars, based on 97 article reviews
    matlab simulink r2015a software - by Bioz Stars, 2026-09
    94/100 stars

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    other:

    Article Title: Adaptive Cooperative Search Algorithm for Air Pollution Detection Using Drones
    Article Snippet: The simulation described in refers to a numerical performance analysis of the proposed algorithm using MATLAB (R2015a).

    Article Title: Intelligent approach to detecting online fraudulent trading with solution for imbalanced data in fintech forensics.
    Article Snippet: The experiments were conducted on a system equipped with an Intel® CoreTM i5 processor with 8 GB RAM, Scientific Reports | (2025) 15:17983 10| https://doi.org/10.1038/s41598-025-01223-8 implemented in MATLAB R2015a.

    Article Title: Side-specific implicit training of attentional disengagement and reorienting
    Article Snippet: The stimuli were created using MATLAB R2015a (MathWorks, Natick, MA) and the Psychophysics Toolbox Version 3 (Brainard ; Kleiner et al. ; Pelli ).

    Article Title: Sequential extraction of protein, phenolic compounds, and oligosaccharides from brewer’s spent grains
    Article Snippet: An analysis of variance (ANOVA) was performed using Matlab R2015a (MathWorks Inc., Natick, MA, USA), including both a one-way ANOVA with Tukey’s post hoc test for pairwise comparisons and a multi-way ANOVA to assess the effects of multiple factors. a Enzymatic hydrolysis was conducted with a solid-to-liquid ratio of 1:20 (w/ v, dry matter) at 40 ◦C, 4 h, 200 rpm.

    Article Title: Behavioral and computational signatures of reinforcement learning and confidence biases in gambling disorder.
    Article Snippet: The task (see Fig. 1) was implemented using MATLAB R2015a (MathWorks) and the COGENT toolbox (http://www.vislab.ucl.ac.uk/cogent.php).

    Article Title: Adaptive Cooperative Search Algorithm for Air Pollution Detection Using Drones.
    Article Snippet: The simulation described in Section 4.1 refers to a numerical performance analysis of the proposed algorithm using MATLAB (R2015a).

    Biomarker Discovery:

    Article Title: Biomarkers for cancer therapeutics
    Article Snippet: Biomarker statistical analyses were conducted using Matlab R2015a (The Mathworks Inc., Natick, MA). .. Biomarker statistical analyses were conducted using Matlab R2015a (The Mathworks Inc., Natick, MA). ..

    Software:

    Article Title: Pupil dilation as a marker of attention/effort in aging and mild cognitive impairment
    Article Snippet: .. The task was programmed using MATLAB R2015a (version 8.5.0.197613, The MathWorks, Inc, 2015) and Cogent 2000 software. ..



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    MathWorks Inc boxplot function in matlab software r2015a
    ( a ) Droplet-like DPICs were initially formed by mixing 20 μM ATTO565-labeled p53 4M ΔTAD with 0.6 μM ATTO488-labeled Random DNA and incubating for 30 minutes at room temperature. Subsequently, Cy5-labeled p21 DNA was added at varying concentrations and incubated for an additional 120 minutes: (i) 0.15 μM; (ii) 0.225 μM; (iii) 0.3 μM; (iv) 0.45 μM; (v) 0.6 μM; (vi) 0.75 μM; (vii) 0.9 μM. Representative fluorescence images at incubation time t = 4-min and t = 120-min are shown. Independent in vitro droplet experiments were repeated three times (n = 3). ( b ) <t>Boxplot</t> of characteristic time constants τ 1 and τ 2 for p21 DNA concentrations ranging from 0.3 to 0.9 μM. N indicates the number of individual biomolecule-rich condensates analyzed under each condition. In box plots, the black line denotes the median, box edges represent the 25 th and 75 th percentiles, whiskers indicate the range excluding outliers, and outliers are shown as individual dots (•). ( c ) Phase diagram showing normalized fluorescence intensities of ATTO565-labeled p53 4M ΔTAD and ATTO488-labeled Random DNA at the center of condensates under increasing concentrations of p21 DNA (0.3, 0.45, 0.6, and 0.75 μM). Values are shown both before p21 DNA addition and at the end of Stage I. Control experiments in which Random DNA was used in place of p21 DNA are also included. Error bars indicate mean ± s.d. Green dashed lines mark the estimated binodal boundary, and purple dashed lines represent the spinodal boundary, as confirmed by our phase-field model (see – ).
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    ( a ) Droplet-like DPICs were initially formed by mixing 20 μM ATTO565-labeled p53 4M ΔTAD with 0.6 μM ATTO488-labeled Random DNA and incubating for 30 minutes at room temperature. Subsequently, Cy5-labeled p21 DNA was added at varying concentrations and incubated for an additional 120 minutes: (i) 0.15 μM; (ii) 0.225 μM; (iii) 0.3 μM; (iv) 0.45 μM; (v) 0.6 μM; (vi) 0.75 μM; (vii) 0.9 μM. Representative fluorescence images at incubation time t = 4-min and t = 120-min are shown. Independent in vitro droplet experiments were repeated three times (n = 3). ( b ) Boxplot of characteristic time constants τ 1 and τ 2 for p21 DNA concentrations ranging from 0.3 to 0.9 μM. N indicates the number of individual biomolecule-rich condensates analyzed under each condition. In box plots, the black line denotes the median, box edges represent the 25 th and 75 th percentiles, whiskers indicate the range excluding outliers, and outliers are shown as individual dots (•). ( c ) Phase diagram showing normalized fluorescence intensities of ATTO565-labeled p53 4M ΔTAD and ATTO488-labeled Random DNA at the center of condensates under increasing concentrations of p21 DNA (0.3, 0.45, 0.6, and 0.75 μM). Values are shown both before p21 DNA addition and at the end of Stage I. Control experiments in which Random DNA was used in place of p21 DNA are also included. Error bars indicate mean ± s.d. Green dashed lines mark the estimated binodal boundary, and purple dashed lines represent the spinodal boundary, as confirmed by our phase-field model (see – ).

    Journal: bioRxiv

    Article Title: Hollow condensates emerge from gelation-induced spinodal decomposition

    doi: 10.1101/2025.06.25.661497

    Figure Lengend Snippet: ( a ) Droplet-like DPICs were initially formed by mixing 20 μM ATTO565-labeled p53 4M ΔTAD with 0.6 μM ATTO488-labeled Random DNA and incubating for 30 minutes at room temperature. Subsequently, Cy5-labeled p21 DNA was added at varying concentrations and incubated for an additional 120 minutes: (i) 0.15 μM; (ii) 0.225 μM; (iii) 0.3 μM; (iv) 0.45 μM; (v) 0.6 μM; (vi) 0.75 μM; (vii) 0.9 μM. Representative fluorescence images at incubation time t = 4-min and t = 120-min are shown. Independent in vitro droplet experiments were repeated three times (n = 3). ( b ) Boxplot of characteristic time constants τ 1 and τ 2 for p21 DNA concentrations ranging from 0.3 to 0.9 μM. N indicates the number of individual biomolecule-rich condensates analyzed under each condition. In box plots, the black line denotes the median, box edges represent the 25 th and 75 th percentiles, whiskers indicate the range excluding outliers, and outliers are shown as individual dots (•). ( c ) Phase diagram showing normalized fluorescence intensities of ATTO565-labeled p53 4M ΔTAD and ATTO488-labeled Random DNA at the center of condensates under increasing concentrations of p21 DNA (0.3, 0.45, 0.6, and 0.75 μM). Values are shown both before p21 DNA addition and at the end of Stage I. Control experiments in which Random DNA was used in place of p21 DNA are also included. Error bars indicate mean ± s.d. Green dashed lines mark the estimated binodal boundary, and purple dashed lines represent the spinodal boundary, as confirmed by our phase-field model (see – ).

    Article Snippet: The function of “boxplot” in MATLAB software (R2015a, 64-bit, February 12, 2015) was used to plot the boxplots in , , and Supplementary Fig. 3.

    Techniques: Labeling, Incubation, Fluorescence, In Vitro, Control