Insight into scale selection of dimensionless phase-field model of alloy solidification by Yuchen Tang, Ang Zhang, He Liu, Gengyun Zhang, Chuangming Li, Yongfeng Li, Zhihua Dong, Guangsheng Huang, Bin Jiang

“…The effect of the scales on characteristic parameters, including capillary length and relaxation time, is discussed, and a reasonable scale range is determined by evaluating both numerical accuracy and computing performance. Four typical phase-field equations are perfectly mapped by selecting specific concentration and temperature scales, which validates the applicability of the reformulated model and provides guidance for further application of the phase-field models. …”
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Parametric effects of phase change material on solar still productivity: Thermal modeling and selection guides by Adil A.M. Omara, Omer Elfarouk E. Mohamed, Abubaker A.M. Mohammedali, R. Dhivagar

“…In order to investigate the effect of PCM parameters besides providing a clear guide for PCM selection, the current paper presents a thermal modeling on solar sill-PCM behavior for different parameters. …”
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EFFECTS OF TEMPERATURE AND PERCENTAGE OF ORGANIC MODIFIER ON RETENTION AND SELECTIVITY IN RP-HPLC USING SOLVATION PARAMETER MODEL by M.R. Hadjmohammadi

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Rapid, comprehensive search of crystalline phases from X-ray diffraction in seconds via GPU-accelerated Bayesian variational inference by Ryo Murakami, Kenji Nagata, Yoshitaka Matsushita, Masahiko Demura

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Optimized conductor selection and phase balancing in unbalanced distribution networks: Economic optimization via the vortex search algorithm by Brandon Cortés-Caicedo, Jhony Andrés Guzmán-Henao, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños

Subjects: “…Unbalanced three-phase distribution networks…”
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Two different mechanisms support selective attention at different phases of training. by Sirawaj Itthipuripat, Kexin Cha, Anna Byers, John T Serences

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Bayesian estimation to identify crystalline phase structures for X-ray diffraction pattern analysis by Ryo Murakami, Yoshitaka Matsushita, Kenji Nagata, Hayaru Shouno, Hideki Yoshikawa

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Liquid-phase selective hydrogenation of acetylene with the feed composition of front-end process by Zhenyu Kang, Xiaocheng Lan, Tiefeng Wang

“…In this work, N-methyl-2-pyrrolidone (NMP) was introduced as a liquid phase to the front-end hydrogenation process, with using Pd/SiO2 as a model catalyst, to improve the selectivity to ethylene. …”
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Method for Selecting Combinations of Optical Chemosensory Materials for Identification of Vapor-Phase Ecotoxicants by R. D. Chuvashov

“…To propose a method for selecting from a set of available chemosensory materials the optimal combination most suitable for identification of the required group of vapor-phase substances.Materials and methods. …”
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The fitness cost and benefit of phase‐separated protein deposits by Natalia Sanchez de Groot, Marc Torrent Burgas, Charles NJ Ravarani, Ala Trusina, Salvador Ventura, M Madan Babu

“…What are the fitness costs and benefits of forming such deposits in different conditions? Using a model protein that phase‐separates into deposits, we distinguish and quantify the fitness contribution due to the loss or gain of protein function and deposit formation in yeast. …”
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A new method for quantification of the phase selective localization of hybrid fillers in rubber blends by H. H. Le, X. T. Hoang, U. Reuter, A. Janke, A. Das, S. Wiessner

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Selection of Landsat 8 OLI Levels, Monthly Phases, and Spectral Variables on Identifying Soil Salinity: A Study in the Yellow River Delta by Guosheng Ni, Yang Guan, Xiaoguang Zhang, Yi Yang, Yu Li, Xinwei Liu, Ziguo Rong, Min Ju

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Modeling of binary nanooxides with solid solutions and mixed phases by V. M. Gun’ko

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Multi-port network based modeling and selection of capacitor for desired voltage regulation of a standalone six-phase short-shunt induction generator for application in remote areas by Saikat Ghosh, S.N. Mahato

“…The theory of multi-port network analysis has been applied for modelling of the SPIG, thus, the complex mathematical derivation to obtain the model equations is avoided. …”
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Mathematical Model of Electrical Line with Transposition of Phase Circuits by Berzan V., Patiuc V., Rybacova G.

“…The purpose of this paper is to elaborate the mathematical model and the method of calculation of the permanent regime in the line with many conductors with transposed phases. …”
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On the Selection and Meaning of Variable Order Operators for Dynamic Modeling by Lynnette E. S. Ramirez, Carlos F. M. Coimbra

“…We review the application of differential operators of noninteger order to the modeling of dynamic systems. We compare all the definitions of Variable Order (VO) operators recently proposed in literature and select the VO operator that has the desirable property of continuous transition between integer and non-integer order derivatives. …”
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Migraine triggers, phases, and classification using machine learning models by Anusha Reddy, Ajit Reddy

“…The precision and accuracy obtained by the support vector machine and artificial neural network are 91% compared to logistic regression (90%) and random forest (87%). These models are run with the dataset without optimal tuning across the entire dataset for different migraine types; which is further improved with selective sampling and optimal tuning. …”
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A data driven predictive viscosity model for the microemulsion phase by Akash Talapatra, Bahareh Nojabaei, Pooya Khodaparast

“…This study aims to compare the accuracy and correlation coefficients of these models, selecting the most precise model for predicting microemulsion phase viscosity under diverse reservoir conditions. …”
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Prediction of Banks Efficiency Using Feature Selection Method: Comparison between Selected Machine Learning Models by Hamzeh F. Assous

“…Finally, we choose the best prediction model with the highest R2 in the training and the testing phases with/out feature selection that is the CHAID model. …”
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GA-SVM method for single-phase grounding fault line selection in distribution network based on feature fusion by ZHANG Xiaopeng, BAI Jie, SUN Naijun, LI Jie, ZHENG Shuai, WAN Qingzhu

“…Aiming at the low accuracy of line selection method when the data amount of single-phase grounding fault in distribution network is small, a genetic algorithm optimized support vector machine (GA-SVM) method for single-phase grounding fault line selection in distribution network based on feature fusion is proposed, which adopts Fourier transform, the active power method and wavelet packet transform decompose the transient zero-sequence current of each line under different fault conditions, extracts four features, including fundamental wave amplitude, fifth harmonic amplitude, average active power component and wavelet energy value. …”
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