Parametrizing analog multi-compartment neurons with genetic algorithms [version 2; peer review: 1 approved, 2 approved with reservations] by Raphael Stock, Eric Müller, Jakob Kaiser, Sebastian Schmitt, Johannes Schemmel

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Optimized Modeling Strategies for the Parametrization of a Two-Parameter Friction Model Through Inverse Modeling of Conical Tube-Upsetting Tests by Michel Henze, Lena Koch, David Bailly, Marco Teller, Gerhard Hirt

“…Complex models for the numerical description of friction often have two or more model parameters but lack appropriate calibration methods since calibration schemes developed for one-parameter models are not applicable. The objective of this work is to develop an evaluation method based on inverse modeling of the conical tube-upsetting test in order to allow for the parametrization of a two-parameter friction model, providing a unique solution for the model parameters. …”
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Monitoring and early warning of ovarian cancer using high-dimensional non-parametric EWMA control chart based on sliding window by Bin Wu, Wen Zhong, Yixing Ren, Zhongli Zhou, Liu Liu

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Parametric Design of Easy-Connect Pipe Fitting Components Using Open-Source CAD and Fabrication Using 3D Printing by Abolfazl Taherzadeh Fini, Cameron K. Brooks, Alessia Romani, Anthony G. Straatman, Joshua M. Pearce

“…A more efficient wastewater management strategy would use a parametric design for on-demand, customized pipe fittings, following the principles of distributed manufacturing. …”
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Efficient protocol for exploring the quantum interference and entanglement of Dirac particles by Yuan Qiu, Ke-Xiong Yan, Jun-Hao Lin, Jie Song, Ye-Hong Chen, Yan Xia

“…These non-classical effects offer potential application in fields such as quantum computing.…”
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The nonlinear density limit of driving plasma current by lower hybrid waves in tokamak plasmas by Kunyu Chen, Zhihao Su, Zikai Huang, Long Zeng, Zhe Gao

“…According to the scaling of the nonlinear density limit, the applicability of driving plasma current through lower hybrid waves is still guaranteed for future fusion reactors.…”
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Neural Network Method of Controllers’ Parametric Optimization with Variable Structure and Semi-Permanent Integration Based on the Computation of Second-Order Sensitivity Functions... by Serhii Vladov, Lukasz Scislo, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Victoria Vysotska

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Parametric reconstruction of spatial morphological genes in historical villages–A Case study of Gulan village in Jingxing County, Hebei Province, China by Peng Peng, Jiajie Zhao, Yuechen Zhang, Jinyu Wu, Limin Zhao, Yan Rong

“…This study employs a spatial genetics framework and leverages parametric methods coupled with quantitative analysis to investigate the fundamental developmental principles of villages and their applicable strategies. …”
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Enhancing Fatigue Life Prediction Accuracy: A Parametric Study of Stress Ratios and Hole Position Using SMART Crack Growth Technology by Yahya Ali Fageehi, Abdulnaser M. Alshoaibi

“…This study presents a unique and comprehensive application of ANSYS Mechanical R19.2’s SMART crack growth feature, leveraging its capabilities to conduct an unprecedented parametric investigation into fatigue crack propagation behavior under a wide range of positive and negative stress ratios, and to provide detailed insights into the influence of hole positioning on crack trajectory. …”
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Microstructural, Mechanical and Fresh-State Performance of BOF Steel Slag in Alkali-Activated Binders: Experimental Characterization and Parametric Mix Design Method by Lucas B. R. Araújo, Daniel L. L. Targino, Lucas F. A. L. Babadopulos, Heloina N. Costa, Antonio E. B. Cabral, Juceline B. S. Bastos

“…Despite its potential, the lack of mix design methods still limits its applications. This paper proposes a systematic parametric validation for AAB mix design applied to pastes and concretes, valorizing steel slag as precursors. …”
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Integrated CAD/CAM Approach for Parametric Design and High-Precision Microfabrication of Planar Functional Structures Comprising Radially Oriented V-Grooves by Jonas T. Churchill-Baird, O. Remus Tutunea-Fatan, Evgueni V. Bordatchev

“…This study integrates the parametric definition of V-groove structures in both design and fabrication modules using three main function blocks (MFBs). …”
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Parametric Cyclic Voltammetric Analysis of an Electrochemical Aptasensor for <i>Staphylococcus aureus</i> Iron-Regulated Surface Determinant Protein A Detection by Shokoufeh Soleimani, Tracy Ann Bruce-Tagoe, Najeeb Ullah, Michael K. Danquah

“…These conditions were critical for detecting the IsdA protein as a biomarker of <i>S. aureus</i>. The aptasensor applicability was demonstrated by successfully detecting <i>S. aureus</i> in food samples such as milk and apple juice with high specificity and reliability. …”
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Parametric Study Of Friction Stir Spot Welding (FSSW) For Polymer Materials Case Of High Density Polyethylene Sheets: Experimental And Numerical Study by Djilali Benyerou, El Bahri Ould Chikh, Habib Khellafi, Hadj Miloud Meddah, Ali Benhamena, Kaddour Hachelaf, Abdellah Lounis

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Parametrization of a 0D solid oxide cell performance model—a detailed investigation including temperature dependencies of kinetic parameters by Marius Mueller, Markus Klinsmann, Ulrich Sauter, Jean-Claude Njodzefon, André Weber

“…Yet, significant temperature gradients across both the cell area and the height of the stack occur in SOC applications; thus, a proper representation of the temperature dependency of all electrochemical parameters is required. …”
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NON-PARAMETRIC MANN-KENDALL AND SEN’S SLOPE ESTIMATE AS A METHOD FOR DETECTING TREND WITHIN HYDRO-METEOROLOGICAL TIME SERIES: A REVIEW by Nura Idris Abdullahi, Shamsudden Mohammed, Yusuf Owoseni, Stephen Ijimdiya, Khalid Suleiman

“…This paper, therefore, reviewed some non-parametric trend tests of hydro-meteorological time series and their application and found Mann-Kendall and Sen’s Slope Estimate method as a suitable method of assessing trends within hydro-meteorological time series.…”
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Parametric Modelling of Fibre-Concrete Interface and Prediction of Compressive Strength of Concrete With Waste Tyre Steel Fibres Using Artificial Neural Network Model by Daudi Salezi Augustino

“…The study used Abaqus to develop a parametric model of the fibre-concrete interface. The model utilised different fibre lengths (30, 50 and 60 mm), and the interface properties were deduced from shrinkage strains and available shrinkage models in the literature. …”
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Two-dimensional Sparse Antenna Array of a Passive Coherent Radar using a Parametric Algorithm of Signal Processing via the Section Method by V. M. Kutuzov, V. I. Veremyev, M. A. Ovchinnikov, G. V. Komarov

“…The possibility and conditions for the application of the modified parametric Burg method in the problems of single signal detecting and angular resolution of equal-power signals in a passive coherent radar, which includes a two-dimensional sparse AA, were determined. …”
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Scan-to-HBIM: automated transformation of point clouds into 3D BIM models for the digitization and preservation of historic buildings by Pablo Ariel Escudero

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Development of a Simplified Human Body Model for Movement Simulations by Michał Olinski, Przemysław Marciniak

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Simultaneous multislice cardiac multimapping based on locally low-rank and sparsity constraints by Yixin Emu, Yinyin Chen, Zhuo Chen, Juan Gao, Jianmin Yuan, Hongfei Lu, Hang Jin, Chenxi Hu

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