A multimodal functional structure-based graph neural network for fatigue detection by Dongrui Gao, Zhihong Zhou, Zongyao Peng, Haokai Zhang, Shihong Liu, Manqing Wang, Hongli Chang

“…Recent studies have attempted to enhance detection performance through multimodal information fusion, yet they largely overlook the impact of functional connectivity among multimodal signals. To address this limitation, we propose a novel multimodal fatigue classification framework integrating electroencephalogram (EEG) and electrocardiogram (ECG) signals. …”
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An examination of the reliability of seed-to-seed resting state functional connectivity in tinnitus patients by Sara A. Schmidt, Somayeh Shahsavarani, Rafay A. Khan, Yihsin Tai, Elsa C. Granato, Caterina M. Willson, Pedro Ramos, Paul Sherman, Carlos Esquivel, Bradley P. Sutton, Fatima T. Husain

“…Resting state functional connectivity (RS-FC) studies of tinnitus over the years have produced inconsistent results. …”
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Regularized regression outperforms trees for predicting cognitive function in the Health and Retirement Study by Kyle Masato Ishikawa, Deborah Taira, Joseph Keaweʻaimoku Kaholokula, Matthew Uechi, James Davis, Eunjung Lim

“…Model performance was evaluated using RMSE and R2 and interpretability was assessed via coefficients, variable importance, and decision trees. …”
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Performance and variability analysis of ALD-grown wafer scale HfO2/Ta2O5-based memristive devices for neuromorphic computing by Sanjay Kumar, Sanjay Kumar, Deepika Yadav, Spyros Stathopoulos, Themis Prodromakis

“…Furthermore, the fabricated devices efficiently perform the synaptic functionalities in terms of potentiation (P) and depression (D), paired-pulse facilitation (PPF), and paired-pulse depression (PPD), with a least value of nonlinearity (NL) factor of 0.43 in synaptic response, which is close to the ideal value of NL in biological synapses. …”
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Association between various blood glucose variability-related indicators during early ICU admission and 28-day mortality in non-diabetic patients with sepsis by Jingyan Zhou, Zhiheng Chen, Hao-Neng Huang, Chun-Quan Ou, Xin Li

“…The dose-response relationship between BG variability-related indexes and mortality was explored using multivariate logistic regression with restricted cubic spline (RCS) function. …”
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Comparison of Blood Pressure Variability between 24 h Ambulatory Monitoring and Office Blood Pressure in Diabetics and Nondiabetic Patients: A Cross-Sectional Study by Ana Lídia Rouxinol-Dias, Marta Lisandra Gonçalves, Diogo Ramalho, Jose Silva, Loide Barbosa, Jorge Polónia

“…We found that diabetes is associated with higher variability of daytime BP than nondiabetics along with worse damage of vascular and renal function. …”
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ESTIMATING AND ANALYZING THE FUNCTIONS OF THE IMPORTS OF STRATEGIC CROPS IN SOME DEVELOPING COUNTRIES FOR THE PERIOD (1980-2010) by Kays Ghazal, Mohammad Subhi Al-Mashhadani

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Effects of Pretreatments in Convective Dehydration of Rosehip (Rosa eglanteria) by Alejandra Mabellini, Elizabeth Ohaco, Carlos Alberto Márquez, Antonio De Michelis, Jorge Enrique Lozano

“…The aim of this work was to experimentally determine drying curves for thin layer and bed drying of rosehip fruits, with and without pretreatments, to reduce processing times as a function of drying air operating variables, to propose dehydration kinetics of fruits and to determine its kinetic parameters for further use within drying simulation software. …”
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Nonparametric Estimation Method for the Distribution Function Using Various Types of Ranked Set Sampling by Ramy Ghareeb, Rikan AL khalidi

“…Also, when  is used to analyze  data, it takes advantage of the reduced variability within each ranked set, resulting in more precise and reliable regression function estimates. …”
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Variable thermal conductivity effects on MHD flow of non-Newtonian ternary hybrid nanofluid between rotating disks, A Cattaneo–Christov heat transfer analysis by Hussan Zeb, Kamal Shah, Manar Alqudah, Thabet Abdeljawad

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Approximate power flow solutions‐based forecasting‐aided state estimation for power distribution networks by Zhenyu Wang, Zhao Xu, Donglian Qi, Yunfeng Yan, Jianliang Zhang

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Gut Microbiome Diversity and Uric Acid in Serum and Urine by Cecilie Ness, Dmitri Svistounov, Marit D. Solbu, Natalia Petrenya, Neoma Boardman, Kirsti Ytrehus, Trond G. Jenssen, Andrew Holmes, Stephen J. Simpson, Svetlana N. Zykova

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A Penalized Orthogonal Kriging Method for Selecting a Global Trend by Xituo Zhang, Guoxing Gao, Jianxin Zhao, Xinmin Li

“…In this paper, we introduce a new method for combining orthogonal kriging with penalized variable selection. Furthermore, an efficient algorithm is given to select the correct mean function. …”
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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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Employing Novel Ranking Function for Solving Fully Fuzzy Fractional Linear Programming Problems by Israa H. Hasan, Iden H. Al Kanani

“…This paper proposes a novel ranking function technique with variables of type decagonal fuzzy numbers for solving fully fuzzy fractional linear programming (FFFLP) problems. …”
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Two-dimensional Elasticity Solutions For Analyzing Free Vibration Of Functionally Graded Porous Beams by Quoc-Cuong Le, Ba-Duy Nguyen

“…Furthermore, microvoids can emerge as a result of technical issues during the manufacture of functionally graded materials (FGMs), leading to the development of porosities. …”
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Investigation of influence of objective function valley ratio on the determination error of its minimum coordinates by A. V. Smirnov

“…A special test function was used in numerical experiments to model valleys with variables across wide ranges of parameters. …”
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Rapid Classification of Milk Using a Cost-Effective Near Infrared Spectroscopy Device and Variable Cluster–Support Vector Machine (VC-SVM) Hybrid Models by Eleonora Buoio, Valentina Colombo, Elena Ighina, Francesco Tangorra

“…This approach provides the dairy industry with a practical, simple and efficient solution to quickly identify skimmed, semi-skimmed and whole milk and detect potential fraud.…”
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Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China. by Ya-Nan Ma, Jing Wang, Guang-Hui Dong, Miao-Miao Liu, Da Wang, Yu-Qin Liu, Yang Zhao, Wan-Hui Ren, Yungling Leo Lee, Ya-Dong Zhao, Qin-Cheng He

“…Predictive equations used multiple linear regression techniques with three predictor variables: height, age and weight. Model goodness of fit was examined using the coefficient of determination or the R(2) and adjusted R(2). …”
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