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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A new method to solve multi-objective linear fractional programming problem in fuzzy stochastic environment by Ajeet Kumar, Babita Mishra

“…In this problem, the fuzzy random variables coefficient is involved as the parameters of the objective function as well as system constraints. …”
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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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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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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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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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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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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

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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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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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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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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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Comparative analysis of profitability and resource use efficiency between Penaeus monodon and Litopenaeus vannamei in India. by Ubair Nisar, Hongzhi Zhang, Mahida Navghan, Yugui Zhu, Yongtong Mu

“…The Cobb-Douglas production function, which relates production output to several independent input variables, was used to determine productivity. …”
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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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Energy Efficiency and Mathematical Modeling of Shrimp Pond Oxygenation: A Multiple Regression Experimental Study by Yoisdel Castillo Alvarez, Yorlan González González, Reinier Jiménez Borges, Luis Angel Iturralde Carrera, José M. Álvarez-Alvarado, Juvenal Rodríguez-Reséndiz

“…The proposed model is key to optimizing the operation of pumping systems, allowing us to significantly reduce water turnover without compromising dissolved oxygen levels as a function of key variables such as water turnover volume, biomass, solar radiation (0–1200 W/m²), water temperature (20 °C–32 °C), phytoplankton levels (0–1,000,000 cells/ml), zooplankton (0–500,000 cells/ml), and wind speed (0–15 m/s). …”
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Vibration under variable magnitude moving distributed masses of non-uniform Bernoulli-Euler beam resting on Pasternak elastic foundation by T. O. Awodola, S. A. Jimoh, B. B. Awe

“…In order to obtain the solution, a technique based on the method of Galerkin with the series representation of Heaviside function is first used to reduce the equation to second order ordinary differential equations with variable coefficients. …”
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Spacecraft Intelligent Fault Diagnosis under Variable Working Conditions via Wasserstein Distance-Based Deep Adversarial Transfer Learning by Gang Xiang, Kun Tian

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Energy-Efficient Train Operation Optimization Method for Urban Rail Intervals Based on Curve Splicing by Lianbo Deng, Shaokun Ren, Li Cai, Ziruo Xie

“…On this basis, a curve splicing optimization model is established, with the objective function being the minimization of the train’s operational energy consumption while meeting interval running time requirements. …”
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Axisymmetric Free Vibration of Functionally Graded Piezoelectric Circular Plates by Yang Li, Yang Gao

“…The finite Hankel transform is utilized to obtain an ordinary differential equation with variable coefficients. By virtue of the proposed exponential law model, we have ordinary differential equations with constant coefficients. …”
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