Two-Dimensional Probability Models for the Weighted Discretized Fréchet–Weibull Random Variable with Min–Max Operators: Mathematical Theory and Statistical Goodness-of-Fit Analysis... by Sofian T. Obeidat, Diksha Das, Mohamed S. Eliwa, Bhanita Das, Partha Jyoti Hazarika, Wael W. Mohammed

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A three-parameter runoff probability model for long-slope croplands in the black soil region of Northeast China by Yiting Huang, Yuhao Gao, Junxi Chen, Ziheng Feng, Yi Zhang, Yangbo He, Zhengchao Tian, Lirong Lin, Jiazhou Chen

“…By extending the Sheridan framework with an exponential exfiltration function, the model estimates runoff coefficients based on slope length and soil saturation. …”
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Assessment of the functioning of the photosynthetic apparatus of Olea europaea L. under freezing temperatures by Sergei Yu. Tsiupka, Valentina A. Tsiupka, Ilya V. Bulavin

“…At a low gradient of temperature exposure (-7... - 10°C), leaf tissues of the European selection varieties ‘Coreggiolo’, ‘Ascolano’, ‘Leccino’ and ‘Razzo’ were damaged: electrical conductivity reached 15%, chlorophyll stability index decreased, variable fluorescence and photosynthetic activity coefficients decreased, uncontrolled photon quenching was significantly higher than the effective photochemical quantum yield and non-photochemical quenching. …”
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Isogeometric Analysis for Active Control of Piezoelectric Functionally Graded Plates in Thermal Environment by Tao Liu, Yafen Jiang, Shujun Li, Qingyun Liu, Chao Wang

“…An isogeometric analysis (IGA) method is proposed for investigating the active shape and vibration control of functionally graded plates (FGPs) with surface-bonded piezoelectric materials in a thermal environment. …”
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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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DETERMINATION OF THE OPTIMUM DOSAGE OF FOOD ADDITIVE «SELEX» FOR FUNCTIONAL BAKERY GOODS PRODUCTION by Naumova N.L.

“…While investigating the dependence between selenium losses in the production process and selenium losses during the product storage and the introduced selenium dosage, the availability of the obvious positive correlation of these variables with significant correlation coefficients has been established. …”
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Evaluating handgrip strength and functional tests as indicators of gait speed in older females by Valentina Muollo, Samuel D’Emanuele, Laura Ghiotto, Doriana Rudi, Federico Schena, Cantor Tarperi

“…Pearson's correlation (r) was used to assess the strength of associations between HGS and functional variables, while multiple linear regression models identified determinants of GS. …”
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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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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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Quantitative estimation of fuzzy crisis management by О. V. German, М. V. Kuznetsov

“…This degree is determined here not by the function of the corresponding fuzzy measure, but by the weight coefficients of the significance of crisis management options and the real resources for their implementation.…”
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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 least values of coefficient of variability (CV) in the device switching voltages are 6.09% (VSET) and 3.22% (VRESET) in the case of device-to-device (D2D) while 1.76% (VSET) and 2.14% (VRESET) in the case of cycle-to-cycle (C2C). …”
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On the Inverse Problem of the Fractional Heat-Like Partial Differential Equations: Determination of the Source Function by Gülcan Özkum, Ali Demir, Sertaç Erman, Esra Korkmaz, Berrak Özgür

“…The study in this paper mainly concerns the inverse problem of determining an unknown source function in the linear fractional differential equation with variable coefficient using Adomian decomposition method (ADM). …”
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Population pharmacokinetics modelling for clinical dose adjustment of carboplatin in dogs by Jérémy Béguin, Sarra Mahfoudhi, Marie Uzel, Antoine Rostang, Catherine Ibish, Aude A. Ferran, Ludovic Pelligand, Anne Hulin, Matthias Kohlhauer

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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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Two-dimensional Elasticity Solutions For Analyzing Free Vibration Of Functionally Graded Porous Beams by Quoc-Cuong Le, Ba-Duy Nguyen

“…A novel two-dimensional elasticity solution is presented in this paper, specifically designed for studying the vibration of functionally graded porous (FGP) beams. The kinetics of the beam are defined by two-dimensional elasticity theory, and Lagrange’s equations are used to derive the governing equations of motion. …”
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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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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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Central Pulse Wave Velocity and Augmentation Index Are Repeatable and Reproducible Measures of Arterial Function by Sophie L. Russell, Mushidur Rahman, Charles J. Steward, Amy E. Harwood, Gordon McGregor, Prithwish Banerjee, Nduka C. Okwose, Djordje G. Jakovljevic

“…Conclusion PWV and Alx demonstrate excellent repeatability and good reproducibility. Considering these variables are noninvasive and easy‐to‐measure, arterial function assessment may have a role in routine clinical practice to facilitate risk stratification in cardiovascular diseases.…”
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Study on the Changes in Sediment Transport Capacity and Response Relationships in Different Segments of the Jingjiang Reach after the Operation of the Three Gorges Reservoir by Shen Minghui, Hu Chunhong, Li Yuchen, Guo Shuai, Shi Hongling

“…The developed formula for calculating the STR during the flood season provides a valuable tool for predicting sediment transport changes, incorporating key variables such as flow intensity, sediment supply coefficient, and median grain size. …”
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