Can Obesity Prevalence Explain COVID-19 Indicators (Cases, Mortality, and Recovery)? A Comparative Study in OECD Countries by Yuval Arbel, Chaim Fialkoff, Amichai Kerner, Miryam Kerner

“…The reasons for these nonlinear patterns might be explained by several conditions such as increased metabolic reserves, more aggressive treatment, other non-SARS-CoV-2 virus complications for obese persons, and unidentified factors that should be examined in future research.…”
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Modeling vaccination prioritization strategies for post-pandemic COVID-19 in the Republic of Korea accounting for under-reporting and age-structure by Geunsoo Jang, Jihyeon Kim, Robin N. Thompson, Hyojung Lee

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Power flow and power quality improvement of a residential-industrial microgrid using 72-pulse inverter-based UIPC by Mahyar Abasi, Ali Nahavandi, Javad Ebrahimi, Gevork B. Gharehpetian

“…As large reactive power consumers, arc furnaces have a completely nonlinear and unbalanced behavior that directly affects power quality indices and reactive power control. …”
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Shear Capacity of Open Sandwich Steel Plate-Concrete Composite Slab: Experimental and Analytical Studies by Lili Wu, Lipei An, Jiawei Li

“…Considering that the fixed crack model by default of the general finite element software was unable to simulate the shear softening behavior of concrete in the actual situation, a rotational crack model based on the modified compression field theory developed by UMAT (user material) of ABAQUS software was proposed and applied to the nonlinear analysis, and a numerical simulated model for the steel-concrete composite slab was built for shear analysis. …”
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Obesity mediates the association between psoriasis and diabetes incidence: a population-based study by Zuojiao Xu, Kaihua Ma, Yinuo Zhai, Jing Wang, Yan Li

“…The study employed weighted logistic regression to examine the association between psoriasis and diabetes. The nonlinear relationship between obesity, diabetes, and psoriasis was explored through smooth curve fitting, stratified by age and gender. …”
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A harmonic model validation methodology for power generation units based on voltage-current phasor characteristic by Kia Malekian Boroujeni, Farhad Safargholi, Kaveh Malekian

“…The practicability of the methodology is shown by employing some test-bench (photovoltaic power generation unit) and on-site (wind power generation unit) measurement campaigns for validating some linear and nonlinear harmonic models. This paper also suggests some criteria for evaluating the quality of measurement data as the model validation input and for defining an acceptable deviation of models from measurement data.…”
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Seismic Vulnerability Assessment of the Cliff-Attached Buildings Equipped with Energy Dissipation Devices Under Obliquely Incident Seismic Waves by Zhuoxin Yang, Dewen Liu, Jiayu Zhou, Li Zhang, Wenyuan Liao

“…The dynamic response of the obliquely incident seismic waves under the action of the cliff-attached vibration reduction structure is studied in depth, and the additional effective damping ratios of the nonlinear energy-dissipated units based on the deformation energy are compared and analyzed. …”
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Microcrack feature extraction method for chaotic optical surface of silicon nitride ceramic bearing roller based on multi-scale wavelet transform enhancement and optimized PSO-FCM... by Yi Jiang, Mengtao Tang, Wenjie Dong, Guoxing Tang, Weiwen Hu, Jiao Li

“…The particle swarm optimization mathematical equation with a decay function is built to optimize the FCM chaotic clustering model. The nonlinear decayed particle velocity equation is constructed to update the particle position and iteratively refine the optimal clustering center positions to realize the feature extraction of microcracks. …”
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Wind Energy Resource Prediction and Optimal Storage Sizing to Guarantee Dispatchability: A Case Study in the Kenyan Power Grid by Hampfrey Odero, Cyrus Wekesa, George Irungu

“…Artificial intelligence (AI) and metaheuristic techniques have proven to be efficient and robust in offering solutions to complex nonlinear prediction and optimization problems. Therefore, this study aims to utilize backpropagation neural network (BPNN) algorithm to conduct hourly prediction of the generation output of Lake Turkana Wind Power Plant (LTWPP), a 310 MW plant connected to the Kenyan power grid, and optimally size its battery energy storage system (BESS) using genetic algorithm (GA) to guarantee its dispatchability. …”
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Influence of Organic Matter Content on Engineering Properties of Clays by Yue Gui, Qiumin Zhang, Xiaqiang Qin, Jianfei Wang

“…The experimental results found that, with the change of organic matter content, the specific gravity and void ratio of clay changed linearly, while the water content, Atterberg limit, shear strength, cohesion, and friction angle changed nonlinearly with the increase of organic matter content. …”
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Allometric equations for estimating above and belowground biomass of Colophospermum mopane in Mozambique by Sá Nogueira Lisboa, Severino Macôo, Almeida Alberto Sitoe

“…We fitted three BAE models using Ordinary Least Squares (OLS) regression and fifteen H-D models using nonlinear regression. A validation procedure checked the applicability of all models. …”
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Association between serum carotenoids levels and endometriosis risk: evidence from the National Health and Nutrition Examination Survey by Jian Huang

“…Additionally, restricted cubic spline (RCS) was employed to assess the possibility of nonlinear associations. Finally, subgroup analyses were utilized to estimate the influence of several covariates on the associations.ResultsWeighted multivariate logistic regression analyses showed that, after adjusting for all covariates taken into account, there was a significant association between serum lutein/zeaxanthin levels and reduced risk of endometriosis (Quartile 3 vs. …”
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Scaling up uncertain predictions to higher levels of organisation tends to underestimate change by James A. Orr, Jeremy J. Piggott, Andrew L. Jackson, Jean‐François Arnoldi

“…We explain why dimensional effects do not play out when predicting change of a single linear aggregate property (e.g. total biomass), yet are revealed when predicting change of nonlinear properties (e.g. absolute biomass change, stability or diversity), and when several properties are considered at once to describe the ecosystem, as in multi‐functional ecology. …”
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Heart rate variability is more sensitive to stress than heart rate in specialist police undergoing selection. by Colin Tomes, Ben Schram, Elisa Canetti, Robin Orr

“…The MSFT was significantly, positively, correlated with pRR50% (ρ (6) = 0.812, p = 0.050, Fisher's z = 1.132). The MSFT and nonlinear HRV, frequency domain HRV, and HR were not significantly correlated. …”
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Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach by Sanjukta Krishnagopal, Yiannis Aloimonos, Michelle Girvan

“…We observe that the reservoir acts as a nonlinear filter projecting the input into a higher dimensional space in which the relationships are separable; i.e., the reservoir system state trajectories display different dynamical patterns that reflect the corresponding input pair relationships. …”
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Multiple Influence Factor Sensitivity Analysis and Height Prediction of Water-Conducting Fracture Zone by Xiaobin Li, Quansheng Li, Xuhui Xu, Yongqiang Zhao, Peng Li

“…Using the multiple regression mathematical model, a nonlinear statistical relationship between the height of the water-conducting fracture zone and ratio coefficient of hard rock lithology, mining thickness, working face length, and mining depth was obtained. …”
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Multijunction solar cell parameter estimation based on metaheuristic algorithms by Marwa M. Elzalabani, Doaa M. Atia, Aref Y. Eliwa, Belal A. Abou Zalam, Mahmoud S. AbouOmar

“…This issue maximizes energy yield and facilitates early fault detection by identifying performance deviations, enabling timely maintenance, and reliable energy production. MJSCs are highly nonlinear and require precise parameter selection. …”
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Distance-Based Congestion Pricing with Day-to-Day Dynamic Traffic Flow Evolution Process by Qixiu Cheng, Jiping Xing, Wendy Yi, Zhiyuan Liu, Xiao Fu

“…Firstly, a piecewise linear function is adopted to formulate the nonlinear distance toll, which can be encapsulated to a day-to-day dynamics context. …”
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Predicting Screening Efficiency of Probability Screens Using KPCA-GRNN with WP-EE Feature Reconstruction by Qingtang Chen, Yijian Huang

“…The screening system is a nonlinear and non-Gaussian complex system. To better characterize its attributes and improve the prediction accuracy of screening efficiency, this study involves the acquisition of the vibration signals and screening efficiency data under various operational conditions. …”
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Spatial Cognitive EEG Feature Extraction and Classification Based on MSSECNN and PCMI by Xianglong Wan, Yue Sun, Yiduo Yao, Wan Zuha Wan Hasan, Dong Wen

“…First, the PCMI extracts nonlinear spatial features, generating spatial feature matrices across different channels. …”
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