Threshold detection by fitting segmented regression models in Microsoft Excel by Amy J Hopper, Angus M Brown

“…We illustrate a method for fitting experimental data with two distinct segmented linear functions using SOLVER, freely available with Microsoft Excel. A spreadsheet template is created for input of experimental data and the fit between the model and the data optimised using SOLVER’s iterative least squares fitting routine to estimate the transition point. …”
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Automated Ledger or Fintech Analytics Platform? by Andrew Kumiega

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Computer-Aided Supporting Models of Customized Crack Propagation Sensors for Analysis and Prototyping by Paulina Kurnyta-Mazurek, Rafał Wrąbel, Artur Kurnyta

“…As a result, a tailored-in-shape CCPS layout is prepared. A parametric model of the sensor is prepared in Autodesk Inventor software, which automatically changes its geometric dimensions after changing data in an MS Excel spreadsheet. …”
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Optimal strategies for controlling riverine tsetse flies using targets: a modelling study. by Glyn A Vale, John W Hargrove, Michael J Lehane, Philippe Solano, Stephen J Torr

“…<h4>Methodology/principal findings</h4>A deterministic model, written in Excel spreadsheets and managed by Visual Basic for Applications, simulated the births, deaths and movement of tsetse confined to a strip of riverine vegetation composed of segments of habitat in which the tsetse population was either self-sustaining, or not sustainable unless supplemented by immigrants. …”
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Quality Management in Pharmaceutical Development of Biotechnology-Derived Medicinal Products: Implementation and Evaluation by I. S. Giba, K. R. Salieva, A. A. Batueva, I. V. Grigorieva, R. V. Drai

“…The study aimed to propose a QMS model for the development of biotechnology-derived medicinal products and a performance evaluation tool for this QMS universally applicable in the research centre of the company regardless of the specific activities of its individual divisions.MATERIALS AND METHODS. …”
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Dataset of SCAPS-1D simulated halide perovskite solar cells with SHAP and machine learning-based PCE optimizationZenodo by Ivan E. Novoselov, Alexander M. Gvozdev, Andrey A. Smirnov, Ivan S. Zhidkov

“…Its comprehensive organization makes it suitable for applications including photovoltaic device optimization, evaluation of simulation-based predictive approaches, and development of advanced data-driven models. …”
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