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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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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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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Exploring Flexible Penalization of Bayesian Survival Analysis Using Beta Process Prior for Baseline Hazard by Kazeem A. Dauda, Ebenezer J. Adeniyi, Rasheed K. Lamidi, Olalekan T. Wahab

“…Therefore, this study is motivated to adopt the idea of a penalized semi-parametric Bayesian Cox (PSBC) model through elastic-net and group lasso penalty functions (PSBC-EN and PSBC-GL) to incorporate the grouping structure of the covariates (genes) and optimally perform variable selection. …”
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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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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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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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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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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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Functional Correlates of Action Observation of Gait in Patients with Parkinson’s Disease by Giulia Bommarito, Martina Putzolu, Laura Avanzino, Carola Cosentino, Alessandro Botta, Roberta Marchese, Matilde Inglese, Elisa Pelosin

“…Differences between patients with PD (FOG+ and FOG-) and HS were assessed at the level of behavioral and functional analysis. Results. Gait parameters, including gait velocity, stride length, and their coefficients of variability (CV), were different in PD patients compared to HS, whereas gait performance was similar between FOG+ and FOG-. …”
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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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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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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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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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High Variability in Human Sperm Membrane Potential over Time Can Limit Its Reliability as a Predictor in ART Outcomes by Tomás J. Steeman, Carolina Baro Graf, Analia G. Novero, Mariano G. Buffone, Dario Krapf

“…Intra-donor <i>E</i>m variability and coefficients of variation (CV) were analyzed statistically. …”
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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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Comparison of the Effect of Fimasartan versus Valsartan on Blood Pressure Variability in Acute Ischemic Stroke: A Double-Blind Randomized Trial by Dong Hoon Shin, Soohwa Song, Yeong Bae Lee

“…Higher blood pressure variability (BPV) is associated with poor functional outcome and mortality in acute stroke. …”
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Cross-Modal Hashing Retrieval Based on Density Clustering by Xiaojun Qi, Xianhua Zeng, Hongmei Tang

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Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms by Lan-ting Zhou, Guan-lin Long, Can-can Hu, Kai Zhang

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