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data modeling and analysis software matlab r2023a  (MathWorks Inc)


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    MathWorks Inc data modeling and analysis software matlab r2023a
    Data Modeling And Analysis Software Matlab R2023a, 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/modelling+software+matlab/pm40151037-124-25-20
    Average 90 stars, based on 1 article reviews
    data modeling and analysis software matlab r2023a - by Bioz Stars, 2026-10
    90/100 stars

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    Software:

    Article Title: Development of a method for analysis of thermal performance of VVER fuel
    Article Snippet: Safe operation and maximum burning of fuel material are two issues that are recently taken into consideration in nuclear fuel rod fabrication industry.. Any failure in nuclear fuel and cladding, such as local melting or cracking, may cause release of radioactive fission fragments to the reactor coolant, which is an undesirable issue from the reactor safety point of view.. Hence, one of the most important issues in nuclear industry is the preservation of fuel rod integrity during its lifetime.

    Article Title: Automated measurement systems in mine water management and mine workings – A review of potential methods
    Article Snippet: This network will add vital contributions to the industry, such as transferring or moving Big Data with greater speed [48], increase the responsiveness of connected devices such as WNSs and other smart devices as its now with Verizon 5G tests in Chicago, U.S.A [11,14,16,49,50]. .. A dynamic system approach for treating mine water is slowly becoming a norm with modelling software such as GoldSim, MATLAB Simulink, Geochemists Workbench and PHREEQC being favoured over the normal spreadsheet-based approach. ..

    Article Title: Fabrication and modelling of fractal, biomimetic, micro and nano-topographical surfaces.
    Article Snippet: .. Therefore, as proof of concept, the spatial data gathered from the comprehensive characterisation of ADM, was input into modelling software (MATLAB) and using MATLAB code derived from Kroese and Botev [44], a computer generated replica of ADM topography was produced, which could be used for grayscale fabrication. .. The ADM surface was accurately modelled in MATLAB and possessed the same fractal dimension (2.3) as the reference surface (figure 6).

    Article Title: Impact of trends and gender disparity in obesity on future type 2 diabetes in Turkey: a mathematical modelling analysis
    Article Snippet: .. The figures were drawn using the modelling software (Matlab) but we have tried changing scales and adding captions (requested by Reviewer 3) to make Figure S3 more easily understood and have included a revised version in the appendices. ..

    Derivative Assay:

    Article Title: Fabrication and modelling of fractal, biomimetic, micro and nano-topographical surfaces.
    Article Snippet: .. Therefore, as proof of concept, the spatial data gathered from the comprehensive characterisation of ADM, was input into modelling software (MATLAB) and using MATLAB code derived from Kroese and Botev [44], a computer generated replica of ADM topography was produced, which could be used for grayscale fabrication. .. The ADM surface was accurately modelled in MATLAB and possessed the same fractal dimension (2.3) as the reference surface (figure 6).

    Generated:

    Article Title: Fabrication and modelling of fractal, biomimetic, micro and nano-topographical surfaces.
    Article Snippet: .. Therefore, as proof of concept, the spatial data gathered from the comprehensive characterisation of ADM, was input into modelling software (MATLAB) and using MATLAB code derived from Kroese and Botev [44], a computer generated replica of ADM topography was produced, which could be used for grayscale fabrication. .. The ADM surface was accurately modelled in MATLAB and possessed the same fractal dimension (2.3) as the reference surface (figure 6).

    Produced:

    Article Title: Fabrication and modelling of fractal, biomimetic, micro and nano-topographical surfaces.
    Article Snippet: .. Therefore, as proof of concept, the spatial data gathered from the comprehensive characterisation of ADM, was input into modelling software (MATLAB) and using MATLAB code derived from Kroese and Botev [44], a computer generated replica of ADM topography was produced, which could be used for grayscale fabrication. .. The ADM surface was accurately modelled in MATLAB and possessed the same fractal dimension (2.3) as the reference surface (figure 6).



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    FIGURE 2 | Schematic diagram of human QSP model. Human QSP model was built by combining the reported model of Wang et al. [33] and a por- tion of oncolytic virus mechanism of action in the preclinical QSP model shown in Figure 1. APC, antigen-presenting cell; Arg-1, arginase 1; aTCD8, activated CD8-positive T cells; CCL-2, chemokine (C-C motif) ligand 2; CTLA-4, cytotoxic T-lymphocyte-associated protein 4; e, rate of tumor-cell kill by differentiated effector T cells; IL-2, interleukin 2; IL-7, interleukin 7; IL-12, interleukin 12; mAPC, MHC-presenting APC; MDSC, myeloid- derived suppressor cells; MHC, major histocompatibility complex; nTCD4, naïve CD4-positive T cells; nTCD8, naïve CD8-positive T cells; NO, nitric oxide; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1; QSP, quantitative systems pharmacology; TCR, T-cell receptor; Teff, effector T cells; Treg, regulatory T cells; Tumi, infected tumor cells; Tumni, noninfected tumor cells; Valpha, viral production size.

    Journal: CPT: pharmacometrics & systems pharmacology

    Article Title: A Multiple-Model-Informed Drug-Development Approach for Optimal Regimen Selection of an Oncolytic Virus in Combination With Pembrolizumab.

    doi: 10.1002/psp4.13297

    Figure Lengend Snippet: FIGURE 2 | Schematic diagram of human QSP model. Human QSP model was built by combining the reported model of Wang et al. [33] and a por- tion of oncolytic virus mechanism of action in the preclinical QSP model shown in Figure 1. APC, antigen-presenting cell; Arg-1, arginase 1; aTCD8, activated CD8-positive T cells; CCL-2, chemokine (C-C motif) ligand 2; CTLA-4, cytotoxic T-lymphocyte-associated protein 4; e, rate of tumor-cell kill by differentiated effector T cells; IL-2, interleukin 2; IL-7, interleukin 7; IL-12, interleukin 12; mAPC, MHC-presenting APC; MDSC, myeloid- derived suppressor cells; MHC, major histocompatibility complex; nTCD4, naïve CD4-positive T cells; nTCD8, naïve CD8-positive T cells; NO, nitric oxide; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1; QSP, quantitative systems pharmacology; TCR, T-cell receptor; Teff, effector T cells; Treg, regulatory T cells; Tumi, infected tumor cells; Tumni, noninfected tumor cells; Valpha, viral production size.

    Article Snippet: Clinical QSP model Clinical ABM Software MATLAB, SimBiology Virtual Tumour (coded in MATLAB) Number of equations 160 67 Number of species 124 34 Number of parameters 185 47 Time to run Approximately 2 h Around 90 s per individual simulation (overall run time depends on the number of individual simulations required) Output No clear difference was observed.

    Techniques: Virus, Derivative Assay, Immunopeptidomics, Infection