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watershed algorithm matlab version 9.5 r2018b  (MathWorks Inc)


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    MathWorks Inc watershed algorithm matlab version 9.5 r2018b
    Watershed Algorithm Matlab Version 9.5 R2018b, 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/matlab+version+9%2E5/pm40615398-457-12-15
    Average 90 stars, based on 1 article reviews
    watershed algorithm matlab version 9.5 r2018b - by Bioz Stars, 2026-10
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    Article Title: Unraveling trajectories of diffusive particles on networks
    Article Snippet: [69] MATLAB, version 9.5 (R2018b) (The MathWorks Inc., Natick, MA, 2018).

    Article Title: Does mathematics anxiety moderate the effect of problem difficulty on cognitive effort?
    Article Snippet: Gaze data was exported as raw data to MatLab (Version 9.5) for further analysis.

    Article Title: Volumetric brain assessment of long-term head and neck cancer survivors.
    Article Snippet: Background: Radiation therapy (RT) for locally advanced head and neck cancer (HNC) often exposes subcortical brain structures to radiation.. We performed this study to assess region-specific brain volumetrics in a population of long term HNC survivors.. Methods and Materials: Forty HNC survivors were enrolled at a mean of 6.4 years from completion of RT.

    Article Title: Relative Ellipsoid Zone Reflectivity in Macular Telangiectasia Type 2.
    Article Snippet: The rEZR, defined as the EZ/ELM reflectivity ratio, was determined, as previously described, in reflectivity profiles in the raw SD-OCT image files using a semi-automated approach using MatLab (version 9.5; The MathWorks, Natick, MA, USA; annotated code available at: https://github.com/ bisselma/relEZIquantification).19 The ELM’s reflectivity has been postulated to be stable across a wide eccentricity, to be present in the fovea, and to be one of the retinal layers undergoing least reflectivity alterations with age in most diseases.15,20 Although Müller cell alterations are known to occur in pathophysiological process of MacTel, these are described to be limited mainly to areas with already existing EZ loss.4,21 As these areas were systematically excluded from statistical analysis in the here presented study, the ELM was maintained as the reference for the rEZR calculation.

    Article Title: Assessment of urban environmental change using multi-source remote sensing time series (2000-2016): A comparative analysis in selected megacities in Eurasia.
    Article Snippet: • Annual average PM2.5 concentrations in 13 cities showed significant increasing

    Article Title: Center of pressure characteristics differ during single leg stance throughout pregnancy and compared to nulligravida individuals.
    Article Snippet: A custom-written Matlab, Version 9.5 (MathWorks Inc., Natick, MA, USA) code was used to down sample data to 200 Hz to be consistent with previous literature [20–23] and avoid oversampling and calculate the center of pressure total sway (sway) as the total path of the center of pressure data across the entire trial and mean sway velocity (mean velocity) as the rate of change of the center of pressure location averaged across the trial period.

    Article Title: Investigating postural control as a predictor of low back and pelvic girdle pain during and after pregnancy.
    Article Snippet: A custom-written Matlab, Version 9.5 (MathWorks Inc., Natick, MA, USA) code was used to downsample data to 200 Hz and calculate the following center of pressure measurements: total sway (sway; the total path of the center of pressure data across the entire trial), mean sway velocity (the rate of change of the center of pressure location averaged across the trial period), AP sway (the maximum distance between the most anterior and posterior locations of the center of pressure across the trail period), and ML sway (the maximum distance between the most medial and lateral locations of the center of pressure across the trail period).

    Article Title: Unsupervised machine learning analysis of optical coherence tomography radiomics features for predicting treatment outcomes in diabetic macular edema.
    Article Snippet: PCA execution and component selection employed Matlab version 9.5, with optimal principal components (PCs) rigorously determined through Horn’s parallel analysis.



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    watershed algorithm matlab version 9.5 r2018b  (MathWorks Inc)
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    Watershed Algorithm Matlab Version 9.5 R2018b, 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
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    version r2018b mcr version 9 5  (MathWorks Inc)
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    software matlab r2018b version 9.5  (MathWorks Inc)
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    a Surface reaction energy diagram of TMPMCT molecules on the TiO 2 surface calculated by DFT. The structures below correspond to the Path 1. The dotted lines represent the reactions, where TS (transition states) structures were not calculated. Colours: Ti surf (light blue), Ti TMPMCT (yellow green), O surf (red), O TMPMCT (purple), C (brown), H (white pink). The corresponding chemical equations: Phy.: Cp(CH 3 ) 5 Ti(OMe) 3 , Ads.: *-Cp(CH 3 ) 5 Ti(OMe) 3 , 1OMe disso.: *-Cp(CH 3 ) 5 Ti(OMe) 2 + *-(OMe), 2OMe disso.: *-Cp(CH 3 ) 5 Ti(OMe) + 2·*-(OMe), 3OMe disso.: *-Cp(CH 3 ) 5 Ti + 3·*-(OMe). Phy. (Physisorption), Ads. (Adsorption), disso. (dissociation), surf (surface), * refers to adsorbed species. b WCA measurement with various exposure times of TMPMCT on the TiO 2 surface. Fitting of the <t>JMAK</t> <t>model</t> (dashed lines) to the data (points with error bars) obtained from c the growth of subsequent TiO 2 ALD on the TMPMCT inhibitor layer (20, 40 and 60 s), and d selectivity calculated from the thickness measured by ellipsometry. e Areal coverage of TMPMCT on the TiO 2 surface (10 nm × 10 nm) using various impingement numbers calculated by MC simulation and the coverage of TDMAT on the TMPMCT-inhibited surface. f Adsorption mechanism of TMPMCT inhibitor. Unoccupied sites serve as starting points for the nucleation sites of TiO 2 in subsequent ALD cycles. Source data are provided as a Source data file.
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    https://www.bioz.com/product/matlab+version+9%2E5/pmc09734176-217-1-7
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    custom code matlab version 9.5  (MathWorks Inc)
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    a Surface reaction energy diagram of TMPMCT molecules on the TiO 2 surface calculated by DFT. The structures below correspond to the Path 1. The dotted lines represent the reactions, where TS (transition states) structures were not calculated. Colours: Ti surf (light blue), Ti TMPMCT (yellow green), O surf (red), O TMPMCT (purple), C (brown), H (white pink). The corresponding chemical equations: Phy.: Cp(CH 3 ) 5 Ti(OMe) 3 , Ads.: *-Cp(CH 3 ) 5 Ti(OMe) 3 , 1OMe disso.: *-Cp(CH 3 ) 5 Ti(OMe) 2 + *-(OMe), 2OMe disso.: *-Cp(CH 3 ) 5 Ti(OMe) + 2·*-(OMe), 3OMe disso.: *-Cp(CH 3 ) 5 Ti + 3·*-(OMe). Phy. (Physisorption), Ads. (Adsorption), disso. (dissociation), surf (surface), * refers to adsorbed species. b WCA measurement with various exposure times of TMPMCT on the TiO 2 surface. Fitting of the <t>JMAK</t> <t>model</t> (dashed lines) to the data (points with error bars) obtained from c the growth of subsequent TiO 2 ALD on the TMPMCT inhibitor layer (20, 40 and 60 s), and d selectivity calculated from the thickness measured by ellipsometry. e Areal coverage of TMPMCT on the TiO 2 surface (10 nm × 10 nm) using various impingement numbers calculated by MC simulation and the coverage of TDMAT on the TMPMCT-inhibited surface. f Adsorption mechanism of TMPMCT inhibitor. Unoccupied sites serve as starting points for the nucleation sites of TiO 2 in subsequent ALD cycles. Source data are provided as a Source data file.
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    Image Search Results


    Journal: STAR Protocols

    Article Title: Chromatin-bound protein colocalization analysis using bedGraph2Cluster and PanChIP

    doi: 10.1016/j.xpro.2022.101991

    Figure Lengend Snippet:

    Article Snippet: Create your own run_matlab directory and install the MATLAB Compiler Runtime (MATLAB version R2018b, MCR version 9.5) therein: {Bash} > run_matlab install -d run_matlab -v R2018b -r 9.5 a.

    Techniques: ChIP-sequencing, Software

    a Surface reaction energy diagram of TMPMCT molecules on the TiO 2 surface calculated by DFT. The structures below correspond to the Path 1. The dotted lines represent the reactions, where TS (transition states) structures were not calculated. Colours: Ti surf (light blue), Ti TMPMCT (yellow green), O surf (red), O TMPMCT (purple), C (brown), H (white pink). The corresponding chemical equations: Phy.: Cp(CH 3 ) 5 Ti(OMe) 3 , Ads.: *-Cp(CH 3 ) 5 Ti(OMe) 3 , 1OMe disso.: *-Cp(CH 3 ) 5 Ti(OMe) 2 + *-(OMe), 2OMe disso.: *-Cp(CH 3 ) 5 Ti(OMe) + 2·*-(OMe), 3OMe disso.: *-Cp(CH 3 ) 5 Ti + 3·*-(OMe). Phy. (Physisorption), Ads. (Adsorption), disso. (dissociation), surf (surface), * refers to adsorbed species. b WCA measurement with various exposure times of TMPMCT on the TiO 2 surface. Fitting of the JMAK model (dashed lines) to the data (points with error bars) obtained from c the growth of subsequent TiO 2 ALD on the TMPMCT inhibitor layer (20, 40 and 60 s), and d selectivity calculated from the thickness measured by ellipsometry. e Areal coverage of TMPMCT on the TiO 2 surface (10 nm × 10 nm) using various impingement numbers calculated by MC simulation and the coverage of TDMAT on the TMPMCT-inhibited surface. f Adsorption mechanism of TMPMCT inhibitor. Unoccupied sites serve as starting points for the nucleation sites of TiO 2 in subsequent ALD cycles. Source data are provided as a Source data file.

    Journal: Nature Communications

    Article Title: Gradient area-selective deposition for seamless gap-filling in 3D nanostructures through surface chemical reactivity control

    doi: 10.1038/s41467-022-35428-6

    Figure Lengend Snippet: a Surface reaction energy diagram of TMPMCT molecules on the TiO 2 surface calculated by DFT. The structures below correspond to the Path 1. The dotted lines represent the reactions, where TS (transition states) structures were not calculated. Colours: Ti surf (light blue), Ti TMPMCT (yellow green), O surf (red), O TMPMCT (purple), C (brown), H (white pink). The corresponding chemical equations: Phy.: Cp(CH 3 ) 5 Ti(OMe) 3 , Ads.: *-Cp(CH 3 ) 5 Ti(OMe) 3 , 1OMe disso.: *-Cp(CH 3 ) 5 Ti(OMe) 2 + *-(OMe), 2OMe disso.: *-Cp(CH 3 ) 5 Ti(OMe) + 2·*-(OMe), 3OMe disso.: *-Cp(CH 3 ) 5 Ti + 3·*-(OMe). Phy. (Physisorption), Ads. (Adsorption), disso. (dissociation), surf (surface), * refers to adsorbed species. b WCA measurement with various exposure times of TMPMCT on the TiO 2 surface. Fitting of the JMAK model (dashed lines) to the data (points with error bars) obtained from c the growth of subsequent TiO 2 ALD on the TMPMCT inhibitor layer (20, 40 and 60 s), and d selectivity calculated from the thickness measured by ellipsometry. e Areal coverage of TMPMCT on the TiO 2 surface (10 nm × 10 nm) using various impingement numbers calculated by MC simulation and the coverage of TDMAT on the TMPMCT-inhibited surface. f Adsorption mechanism of TMPMCT inhibitor. Unoccupied sites serve as starting points for the nucleation sites of TiO 2 in subsequent ALD cycles. Source data are provided as a Source data file.

    Article Snippet: The JMAK model was calculated using the Matlab software (Matlab R2018b version 9.5).

    Techniques: Adsorption

    a Schematic of TMPMCT exposure with an additional H 2 O pulse to improve coverage. b Adsorption energy of hydrolysed TMPMCT species, Cp(CH 3 ) 5 Ti(OMe) 3-x (OH) x (x = 0, 1, 2 and 3), calculated by DFT. c MC simulation results for the adsorption of Cp(CH 3 ) 5 Ti(OMe) 3-x (OH) x with steric hindrance in cases x = 1, 2 and 3. Fitting of the JMAK model to data (points with error bars) obtained from d growth and e selectivity in the case of 20 s TMPMCT with and without additional H 2 O pulse samples. Fitting of the JMAK model to data (points with error bars) obtained from f growth and g selectivity in the case of 40 s TMPMCT with and without additional H 2 O pulse samples. Source data are provided as a Source data file.

    Journal: Nature Communications

    Article Title: Gradient area-selective deposition for seamless gap-filling in 3D nanostructures through surface chemical reactivity control

    doi: 10.1038/s41467-022-35428-6

    Figure Lengend Snippet: a Schematic of TMPMCT exposure with an additional H 2 O pulse to improve coverage. b Adsorption energy of hydrolysed TMPMCT species, Cp(CH 3 ) 5 Ti(OMe) 3-x (OH) x (x = 0, 1, 2 and 3), calculated by DFT. c MC simulation results for the adsorption of Cp(CH 3 ) 5 Ti(OMe) 3-x (OH) x with steric hindrance in cases x = 1, 2 and 3. Fitting of the JMAK model to data (points with error bars) obtained from d growth and e selectivity in the case of 20 s TMPMCT with and without additional H 2 O pulse samples. Fitting of the JMAK model to data (points with error bars) obtained from f growth and g selectivity in the case of 40 s TMPMCT with and without additional H 2 O pulse samples. Source data are provided as a Source data file.

    Article Snippet: The JMAK model was calculated using the Matlab software (Matlab R2018b version 9.5).

    Techniques: Adsorption