Employment of a Radial Basis Function Model for Predicting the Heating Load of Construction by Yuxuan Dai

“…This work highlights that HL prediction could play a great role in improvements to enhance HVAC system performances, energy efficiencies, and thereby cost benefits. The innovative approaches presented in this research consist of integrating 2 advanced optimizers, namely an Improved Manta-Ray Foraging Optimizer (IMRFO) and a Population-based Vortex Search Algorithm (PVSA), with a Radial Basis Function (RBF). …”
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An efficient dynamic reliability method for maglev vehicle-bridge systems and its application in random controller parameters analysis by Lidong Wang, Qingrong Li, Xun Zhang, Xiumeng Bu, Peng Hu, Yan Han

“…Then, by treating the controller parameters as normally distributed random variables, the accuracy and efficiency of the proposed reliability method were verified through comparison with the Monte Carlo method and the one-stage sampling surrogate model. …”
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Clinical and functional significance of determining biological age in women during the reproductive period by E. V. Kudryavtseva, D. A. Berezina, V. V. Bazarny, L. G. Polushina, M. А. Kopenkin, A. N. Troitskaya, V. V. Kovalev

“…Seventy-eight parameters were analyzed, including anamnesis data, anthropometric parameters, data of general blood test, biochemical blood test, instrumental studies, assessment of overall antioxidant status (ОAS), from which the most informative variables were selected. The model was developed using multiple linear regression.Results. …”
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STOCHASTIC FRONTIER PRODUCTION FUNCTION: AN APPLICATION TO ANKARA MOHAIR GOAT FARMING SYSTEM by Mehmet Arif ŞAHİNLİ, Ahmet ÖZÇELİK

“…In this study, we examined both production and technical efficiency of goat's farms in Ankara. The study adopted the stochastic frontier production function to estimate technical efficiency of the mohair goat establishments in the study area. …”
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Induction Motor Geometric Parameter Optimization Using a Metaheuristic Optimization Method for High-Efficiency Motor Design by Hasbi Apaydin, Necibe Füsun Oyman Serteller, Yüksel Oğuz

“…Ten motor design parameters were used as design variables. IM efficiency was improved, as the objective function. …”
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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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Brain functional connectivity analysis of fMRI-based Alzheimer's disease data by Maitha S. Alarjani, Badar A. Almarri

“…Distinguishing AD stages remains a complex process due to ambiguous variability within and across AD stages. Manual classification of such multifaceted and massive data of brain volumes is operationally inefficient and vulnerable to human errors. …”
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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

“…A simple first-order shear deformation theory (S-FSDT) with four variables is used to describe the displacement field of the plates. …”
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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

“…The framework employs differential entropy (DE) features extracted from filtered EEG signals and heart rate variability (HRV) features derived from ECG signals as dual input streams, capturing distinct internal–external interaction patterns. …”
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Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method by Yaqi Jin, Wojciech J. Miloch, Daria Kotova, Knut Stanley Jacobsen, Đorđe Stevanović, Lasse B. N. Clausen, Nicholas Ssessanga, Federico DaDalt

“…To develop a climatological model, the ROTI maps are decomposed into base functions and coefficients using the empirical orthogonal function (EOF) method. …”
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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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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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An analysis of agricultural production efficiency of Yellow River Basin based on a three-stage DEA Malmquist model by Xiejun Cheng, Jinxin Bian, Dongmei He, Decai Tang

“…Abstract Agriculture functions as the cornerstone of national development, and the Yellow River Basin (YRB) plays a crucial role in China’s economy. …”
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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

“…Clinical data, including a range of cognitive, functional, and demographic variables, play a crucial role in Alzheimer’s disease classification. …”
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Evaluating the efficiency of emergency operation centers during pandemics: a cross-sectional study with operational managers in Iran by Majid Sartipi, Majid Sartipi, Asiye Aminafshar, Asiye Aminafshar, Abdolrazzagh Pakzad, Mohammadreza Shafiei, Hojjat Farahmandnia, Asghar Tavan

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Role of the functional status of the autonomic nervous system in the clinical course of purulent meningitis by D. A. Zadiraka, O. V. Ryabokon

“…The analysis of autonomic nervous system parameters functional status among the patients suffering from purulent meningitis at the peak of disease showed heart rate variability decrease in the main branches of autonomic regulation and the presence of autonomic imbalance towards vagotonia. …”
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The effect of gravity on hand spatio-temporal kinematic features during functional movements. by Anna Bucchieri, Federico Tessari, Stefano Buccelli, Elena De Momi, Matteo Laffranchi, Lorenzo De Michieli

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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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