A Method for Determining Intrinsic Mode Function Number in Variational Mode Decomposition and Its Application to Bearing Vibration Signal Processing by Shoujun Wu, Fuzhou Feng, Junzhen Zhu, Chunzhi Wu, Guang Zhang

“…The number (usually denoted by K) of intrinsic mode function (IMF) has a great influence on decomposition results. …”
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Exact Solutions for Strong Nonlinear Oscillators with Linear Damping by Livija Cveticanin

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Isokinetic assessment of muscle function according to physical activity level and cardiovascular risk in asymptomatic adults aged 20 to 80 years by V.Z. Dourado, M.B. Nascimento, R.C. Navarro, R.P. da Silva, B.B. Gonze, K.M. Guedes, V.T. Lauria, W.O. Vieira, T.L.V.D.P. Ostolin

“…The models accounted for 49.6-70.9% of the total variability of muscle function, but MVPA and cardiovascular risk slightly influenced the coefficient of determination (additional ΔR2=0.003-0.006). …”
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SELECTING OPTIMAL PROCESS PARAMETERS OF Al2O3/C COMPOSITE USING GRA WITH PCA AND TAGUCHI’S QLF APPROACH by Idrus Syahzaqi, Hani Brilianti Rochmanto, Muhammad Ahsan

“…In this research, statistical analysis is carried out using GRA with PCA and Quality Loss Function.  The result was the best model based on the Quality Loss Function, because the method has the biggest determination coefficient value is 99,97% where the results is better than GRA with PCA. …”
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The Cognitive Correlates of Obsessive-Compulsive Disorder: The Predictive Role of Looming Maladaptive Style, Executive Function, Thought-Action Fusion and Metacognition by Maryam Koosheshi, Rahim Yousefi, Ladan Vaghef

“…Descriptive measures of dispersion were used to characterize the research variables, while Pearson’s correlation coefficient and multiple regression analysis were utilized for inferential statistics.   …”
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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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Free vibration analysis of graphene-reinforced FGM microplates under different boundary conditions by Nguyen Van Loi, Chu Thanh Binh

“…The microplate is made from functionally graded material (FGM) and reinforced with graphene nanoplatelets (GPLs). …”
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Evapotranspiração máxima do pimentão cultivado em estufa plástica em função de variáveis fenométricas e meteorológicas Maximum evapotranspiration of sweet pepper grown in plastic g... by Carina R. Pivetta, Arno B. Heldwein, Ivan C. Maldaner, Sidinei Z. Radons, Ivonete F. Tazzo, Dionéia D. Lucas

“…<br>The objective of this study was to estimate maximum evapotranspiration (ETm) of sweet pepper inside a plastic greenhouse as a function of evaporation measured with "Piche" evaporimeter (Epi) exposed to solar radiation, with and without easily measured meteorological and phenologic 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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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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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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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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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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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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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

“…Objective: Environmental health impact assessments (HIA) on green space, air pollution (fine particulate matter (PM2.5) or nitrogen dioxide (NO2)), and noise use exposure–response functions (ERF) based on single-exposure models from epidemiological studies, not accounting for potential confounding by other commonly correlated exposures. …”
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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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Deterministic Calculation Method for Continuous-energy Neutron Transport Equation in No-resonance Energy-range by LIU Haopo, LI Yunzhao, WU Hongchun, CAO Liangzhi

“…In order to eliminate the multi-group approximation in the deterministic method, a method for calculating neutron transport equation in the non-resonant energy region based on function expansion was proposed. Initially, the non-resonant energy region was subdivided into segments, and within each segment, orthogonal polynomials serve as base functions for expanding the neutron flux density, which realized the processing of single energy independent variable in the neutron flight and absorption process, as well as the handling of double energy independent variable in the neutron scattering process. …”