A Variable Selection Method Based on Fast Nondominated Sorting Genetic Algorithm for Qualitative Discrimination of Near Infrared Spectroscopy by Hubin Liu, Na Liu, Yuhui Yuan, Cihai Zhang, Longlian Zhao, Junhui Li

“…The method had two objective functions: (1) maximizing the sum of ratios of interclass variance to intraclass variance, (2) minimizing the sum of correlation coefficients between the selected variables. …”
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Method of restoring multivariable Boolean function from its derivative by Alexander V. Mazurenko, Nadezhda S. Mogilevskaya

“…Introduction. Boolean functions of several variables are of paramount importance in the coding theory and cryptography. …”
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Functional analysis of school refusal: An exploratory study in the Indian context by Arun Singh Yadav, Kiragasur Madegowda Rajendra, Lakshmi Sravanti, John Vijay Sagar Kommu, Shekhar Seshadri, Satish Chandra Girimaji

“…The association between school refusal and these variables was examined using Cramer’s V coefficient. …”
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Functional capacity of patients with coronary artery disease at middle age by Khalida Alwan Mansour, Ali Kathum Jassem

“… Objectives: The study aims to identify the functional capacity for patients with coronary artery disease at middle age, and to find out the significant relation between functional capacity domains with variables patients gender, age, marital status, level of education, and income. …”
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A hydrothermal coupling model for permafrost subgrade considering temperature gradient and its application by Jianqing Jia, Zeqing He, Victor O. Tenorio

“…In this study, the dynamic variation of soil permeability coefficient with temperature is considered, the permeability coefficient is defined as a piecewise function with temperature as independent variable, and the hydrothermal coupling equation is established. …”
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Influence of Mismatch of Parameters of Quadrature Channels on the Work of the Adaptive Selection System for Moving Targets by S. I. Ziatdinov

“…An expression is obtained for the frequency transfer function of an adaptive passive noise suppression system with a variable cut-off zone relative to the average frequency of the spectrum of interference signals. …”
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The Quality of Functional Movements and the Back Squat in Amateur and Professional Bodybuilders by VERONIKA ILJINAITĖ, LAIMONAS ŠIUPŠINSKAS, KRISTINA BERŠKIENĖ

“…Statistical analyses applied non-parametric tests (Wilcoxon, Mann-Whitney U, and Friedman's) for dependent and independent samples, with significance set at p\<0.05, and the Spearman correlation coefficient and Chi-square test were used to assess relationships between quantitative and qualitative variables…”
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Bringing Executive Function Testing Online: Assessment Validation Study by Mouna Attarha, Ana Carolina de Figueiredo Pelegrino, Lydia Ouellet, Sarah-Jane Grant, Etienne de Villers-Sidani, Thomas Van Vleet

“…Performance on Freeze Frame was analyzed in relation to self-reported demographic variables and neuropsychological function, using a standardized measure of executive function, the National Institutes of Health Executive Abilities: Measures and Instruments for Neurobehavioral Evaluation and Research (NIH EXAMINER). …”
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Handling Multiple-Fuel Options in Economic Dispatch of Thermal Power Plants Through a Tight Model Applying Indicator Variables by Hossein Sharifzadeh

“…Thermal power plants play a central role in present power systems because of their high efficiency, fast startup capability, and flexibility to integrate the variability of renewable generations. …”
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Assessment of Pedotransfer Functions for Saturated Hydraulic Conductivity of Anatolian Soils by Gülay Karahan

“…However, it has been frequently reported that measurement of Ksat is laborious, time-consuming, and expensive due to its high spatial variability and this has motivated researchers to develop indirect methods such as pedotransfer functions (PTFs) for developing Ksat-database in regional and national scales. …”
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Triple mass diffusion phenomenon in tangent hyperbolic fluid with variable thickness, Soret, and Dufour theory: Galerkin finite element method by Umar Nazir, Muhammad Sohail, Hashem Alyami, Masoud Alajmi, Jihad Younis, Hamad Almujibah

“…It is included that the velocity fields are decreasing function with increments of We, NR, and m but increasing function vs velocity fields and buoyancy ratios for salt 1 and 2 are investigated. …”
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Viscosity modelling of chlorinated brines in three-component systems with a continuously variable temperature range between 293-323 K by Andrés Soto-Bubert, Rashmi Bhardwaj, Satheeshkumar Rajendran, Roberto Acevedo

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Variational Autoencoder Transfer Functions for Onshore Tsunami Hazard Curves by Willington Renteria, Patrick Lynett, Maile McCann, Behzad Ebrahimi, Hong Kie Thio, Ian Robertson, Chris Siverd, Betsy Hicks

“…Once encoded, the data are represented by a normal distribution of latent variables. The VAE then uses a trained decoder to sample the distribution created by the latent variables and reconstruct a continuous hazard function at the onshore location. …”
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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

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Mixed Cost Function and State Constrains Optimal Control Problems by Hugo Leiva, Guido Tapia-Riera, Jhoana P. Romero-Leiton, Cosme Duque

“…In this paper, we analyze an optimal control problem with a mixed cost function, which combines a terminal cost at the final state and an integral term involving the state and control variables. …”
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Glycemic variability in type 2 diabetic patients with metabolic dysfunction-associated steatotic liver disease: a case-control study by Yueqiu Wang, Jing Liu, Yaoqin Yang, Qiong Wang, Yiqiong Sun, Ruiting Shen, Mingchen Zhang

“…HOMA-IR and HOMA-β indices were used to assess insulin resistance and islet β-cell function. The degree of hepatic fibrosis was graded using the FIB-4 score. …”
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Predicting renal function using fundus photography: role of confounders by Hyun-Woong Park, Hae Ri Kim, Ki Yup Nam, Bum Jun Kim, Taeseen Kang

“…Data including sex, age, and blood creatinine levels were collected for eGFR calculation using the MDRD and CKD-EPI formulas. EfficientNet B3 models were used to predict each parameter. …”
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Physical function evaluation in volleyball training based on intelligent GRNN by Kaiyuan Dong, Borhannudin bin Abdullah, Hazizi bin Abu Saad, Chenxi Lu

“…Abstract This study aims to improve both the evaluation accuracy and the real-time feedback capability in monitoring athletes’ physical function changes during volleyball training. Firstly, based on the framework of the generalized regression neural network, a variable-structure generalized regression neural network (VSGRNN) is proposed and developed. …”
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Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study by Min Yang, Huiqin Zhang, Minglan Yu, Yunxuan Xu, Bo Xiang, Xiaopeng Yao

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Assessing fiber quality variability among modern upland cotton cultivars and incorporating it into the GOSSYM-based fiber quality simulation model by Sahila Beegum, Muhammad Adeel Hassan, Krishna N. Reddy, Vangimalla Reddy, Kambham Raja Reddy

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