Augmented robustness in home demand prediction: Integrating statistical loss function with enhanced cross-validation in machine learning hyperparameter optimisation by Banafshe Parizad, Ali Jamali, Hamid Khayyam

“…Cross-household validations confirm strong generalization, achieving coefficient of determination (R²) of 0.946 and 0.972 on unseen homes. …”
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Experimental method to predict avalanches based on neural networks by V. V. Zhdanov

“…Observational data on weather and avalanches in the gorge Kishi Almaty in the gorge Kishi Almaty were used as a training sample. Coefficients for the canonical variables were calculated by the software «Statistica» (Russian version 6.0), and then the necessary formula had been constructed. …”
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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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Discriminative Validity and Reliability of the Single-Leg Squat and Single-Leg Landing Frontal Plane Kinematics in Individuals with Lower Limb Functional Deficits by Jean Marlon Machado, Marcelo Peduzzi de Castro, Amandda de Souza, Carlos Alberto Atherinos Pierri, Francisco Xavier de Araujo, Heiliane de Brito Fontana, Caroline Ruschel

“…It is necessary to identify variables and tests with adequate reliability and with the capability to discriminate individuals with and without lower limb functional deficits. …”
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The effect of early childhood stature on later cognitive functions in Indonesian adolescents: comparation using the National growth reference and the WHO growth standard by Annang Giri Moelyo, Aman B. Pulungan, Mei Neni Sitaresmi, Madarina Julia

“…In adolescence, cognitive function were assessed. An analysis was performed to assess the associations between variables. …”
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OSCILLATIONS OF INHOMOGENEOUS POROELASTIC LAYER WITH VOIDS by Alexander Ovanesovich Vatulyan, Denis Sergeyevich Shvedov

“…Under the known inhomogeneity laws for Lame parameter analogs – positive functions of the vertical coordinate – the layer oscillations are described by the system of three partial differential second-order equations with variable coefficients. …”
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Interrater reliability of the modified Tinkertoy test: A validation study in schizophrenia and control groups by Yasuhisa Nakamura, Reiko Miyamoto, Akihiro Koreki, Sachiko Anamizu, Masaru Mimura

“…Abstract Aim Divergent thinking and executive function are critical components of cognitive performance, necessitating reliable assessment tools to guide clinical decision‐making and research on cognitive deficits. …”
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Artificial intelligence-assisted echocardiographic monitoring in pediatric patients on extracorporeal membrane oxygenation by Weiling Chen, Jinhui Wu, Zhenxuan Zhang, Zhifan Gao, Xunyi Chen, Yu Zhang, Zhou Lin, Zijian Tang, Wei Yu, Shumin Fan, Heye Zhang, Bei Xia

“…AI-automated analysis of echocardiography for quantifying left ventricular function in critically ill children has good consistency and reproducibility with that of clinical experts. …”
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Exploring the optimal lower blood pressure boundary during endovascular thrombectomy in patients with large vessel occlusion by Yu-Ming Chang, Chun-Min Wang, Kang-Po Lee, Po-Chun Shen, Po-Yu Lin, Chi-Hung Liu, Sheng-Hsiang Lin, Chih-Hung Chen, Meng-Tsang Hsieh, Pi-Shan Sung

“…No significant relationship was observed between DBP and functional outcomes. Patients with higher periprocedural SBP coefficient variance exhibited a decreased rate of good functional outcomes at 3 months (aOR, 0.42, 95% CI, 0.18–0.96). …”
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Evaluating the effects of urban development on the ecological carrying capacity of Isfahan city based on the system dynamics approach by Zahra Dehghan Manshadi, Parastoo Parivar

“…In order to validate the model, the historical trend and simulation of two variables of urban population and the number of industries have been compared using the coefficient of determination.Results and discussion: The pressure factors on the urban carrying capacity were detected and analyzed by assessing key variables in the system, such as water sustainability (WSI) and air quality, as well as changes in the landscape structure of Isfahan using landscape metrics. …”
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Exposure-response functions of the correlated environmental exposures green space, noise, and air pollution for quantifying mortality burden in health impact assessment by Xuan Chen, Ulrike Gehring, Georgia M.C. Dyer, Kees de Hoogh, Sasha Khomenko, Haneen Khreis, Natalie Mueller, Roel Vermeulen, Harry Williams, Belen Zapata-Diomedi, Mark Nieuwenhuijsen, Gerard Hoek

“…The studies show substantial variability in exposure levels and correlations between exposures. …”
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Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach by Rongshang Chen, Zhiyong Chen

“…We apply a Bayesian quantile regression (BQR) of the partially linear varying coefficient spatial autoregressive (PLVCSAR) model for spatial data to improve the prediction of performance. …”
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Cardiovascular autonomic neuropathy in chronic kidney disease: a study of kidney biopsy cases by Hideaki Kuno, Go Kanzaki, Rina Oba, Takaya Sasaki, Kotaro Haruhara, Kentaro Koike, Nobuo Tsuboi, Takashi Yokoo

“…Abstract Background The interplay between cardiac and kidney functions is mediated by the autonomic nervous system. …”
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Spatiotemporal Change Analysis and Multi-Scenario Modeling of Ecosystem Service Values: A Case Study of the Beijing-Tianjin-Hebei Urban Agglomeration, China by Jing Duan, Pu Shi, Yuanyuan Yang, Dongyan Wang

“…Next, the changes to ESV under various scenarios were investigated through the equivalent coefficient method. In order to make more targeted recommendations for regional development, the study also used hotspot analyses to explore the impacts of LUCs on ESV. …”
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The association between TNF-receptors (TNFR1 and TNFR2) and mortality as well as kidney function decline in patients with chronic kidney disease by Per Wändell, Tobias Feldreich, Anders Larsson, Philip A. Kalra, Johan Ärnlöv, Toralph Ruge, Axel C. Carlsson

“…Differences in eGFR decline in relation to plasma TNFR1 and TNFR2 were estimated by both linear and logistic regression models, with regression coefficients and odds ratios (ORs). Results: Univariate models showed significant associations between TNFR1 (n = 985) and TNFR2 (n = 988) and all-cause mortality based on 7424 person-years at risk, but in the fully adjusted models with continuous variables significant only for TNFR2 HR 1.17 (1.03–1.34), but with a borderline value for TNFR1 HR 1.15 (1.00–1.31). …”
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Measurement of Salivary Cortisol for Revealing Age-Specific Dependence of Cortisol Levels on Time, Feeding, and Oxygen Metabolism in Newborn Infants by Tomoko Suzuki, Sachiko Iwata, Chinami Hanai, Satoko Fukaya, Yuka Watanabe, Shigeharu Nakane, Hisayoshi Okamura, Shinji Saitoh, Osuke Iwata

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Energy optimization through morphing blade design under structural constraints: a case study on the NREL 1.5 MW wind turbine by Najafian Arezoo, Jahangirian Alireza

“…The morphing process is modeled using an m-degree shape function and optimized through a Genetic Algorithm (GA) to maximize power generation while minimizing structural displacement and thrust forces. …”
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Dynamic Response Analysis of Asphalt Pavement under Pavement-Unevenness Excitation by Heng Liu, Xiaoge Liu, Ankang Wei, Yingchun Cai

“…This paper investigates and analyzes the dynamic response of asphalt pavement under pavement-unevenness excitation based on an orthogonal vector function system and efficient DVP (dual variable and position) method. …”
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Sensitivity Analysis of Numerical Coherency Model for Rock Sites by Dongyeon Lee, Yonghee Lee, Hak-Sung Kim, Jeong-Seon Park, Duhee Park

“…Because of difficulties in developing an empirical coherency function from a site-specific dense array, it is seldom used in practice. …”
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Review on velocity slip with thermal features of irregular heat transport enhancement of hybrid nanofluids by Mudassar Qamar, Masood Khan, Muhammad Yasir, A.S. Shflot, M.Y. Malik

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