Experimental Study and Seismic Response Evaluation of Chlorobutyl Rubber-Based Viscoelastic Dampers by Farnoosh Roshan-Tabari, Hamid Toopchi-Nezhad, Ghodratollah Hashemi-Motlagh

“…The final component of this study involved investigating the seismic response of a 2D frame structure equipped with prototype dampers made from both reference and modified CIIR materials, using nonlinear time-history analyses. The analysis results indicated that the modified CIIR rubber can be effectively utilized in the seismic response mitigation of structures.…”
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Public Health Evaluation of COVID-19 Vaccine Acceptability and Health Behaviors in South Africa: Past, Current, and Future Implications (2020–2022) by Handan Wand, Jayajothi Moodley, Tarylee Reddy, Sarita Naidoo

“…Semiparametric regression models were used to capture the nonlinear association between the vaccine acceptability and health behaviors. …”
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CDEM-Based Numerical Simulation of Uniaxial Compressive Mechanical Properties of Rocks by Mingming Liu, Zhiyong Song, Shou Ma, Yuhua Wei, Jingrui Wang

“…The fracture degree of the rock shows a nonlinear increase with the increase in bedding strength. …”
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Hierarchical and Distributed Eco-Driving Approach for Mixed Vehicle Clusters at Unsignalized Intersections by Jie Yu, Yugong Luo, Weiwei Kong, Fachao Jiang

“…For the vehicle control layer, based on the anticipated driving speed obtained from the cloud decision layer, the nonlinear distributed model predictive control (NDMPC) method is utilized for distributed optimal control of each vehicle formation, to achieve optimization in terms of energy saving. …”
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A Novel Optimal Control Method for Impulsive-Correction Projectile Based on Particle Swarm Optimization by Ruisheng Sun, Qiao Hong, Gang Zhu

“…Finally, a simulation case coupled with a nonlinear flight dynamic model is applied to validate the modified PSO control algorithm. …”
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Solutions of Cauchy Problems for the Caudrey–Dodd–Gibbon–Kotera–Sawada Equation in Three Spatial and Two Temporal Dimensions by Yufeng Zhang, Linlin Gui

“…Fokas has obtained integrable nonlinear partial differential equations (PDEs) in 4 + 2 dimensions by complexifying the independent variables. …”
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Anthropological view of plague epidemics in the his­torical past by T.F. Khaydarov, D.A. Dolbin

“…This triggered our discussion on the nonlinear nature of the course of plague pandemics. …”
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Burst Laser-Driven Plasmonic Photochemical Nanolithography of Silicon with Active Structural Modulation by Liping Shi, Ji Yan, Shuyao Zhang, Panpan Niu, Jiao Geng, Günter Steinmeyer

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Enhanced SOC estimation method for lithium-ion batteries using Bayesian-optimized TCN–LSTM neural networks by Taotao Hu, Xiting Zhu, Maokai Tian

“…Lithium-ion battery state-of-charge (SOC) estimation is crucial for enhancing the safety and performance of battery management systems and prolonging battery lifespan. However, the nonlinear dynamics of battery charging and discharging processes pose significant challenges for achieving accurate SOC estimation. …”
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Modeling and Stability Analysis of the Dynamics of Malaria Disease Transmission with Some Control Strategies by Alemzewde Ayalew, Yezbalem Molla, Amsalu Woldegbreal

“…In this study, we proposed and analyzed a nonlinear deterministic mathematical model of malaria transmission dynamics. …”
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Association between the body roundness index and female infertility: a cross-sectional study from NHANES by Ming Liu, Yifang Zhang, Jian Liu

“…The analysis also revealed a positive nonlinear relationship between BRI and infertility. …”
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Recent Advances in Dimensionality Reduction Modeling and Multistability Reconstitution of Memristive Circuit by Yunzhen Zhang, Yuan Ping, Zhili Zhang, Guangzhe Zhao

“…Due to the introduction of memristors, the memristor-based nonlinear oscillator circuits readily present the state initial-dependent multistability (or extreme multistability), i.e., coexisting multiple attractors (or coexisting infinitely many attractors). …”
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Advantages of Combining Factorization Machine with Elman Neural Network for Volatility Forecasting of Stock Market by Fang Wang, Sai Tang, Menggang Li

“…Predicting stock market fluctuations is usually challenging due to the nonlinear and nonstationary time series of stock prices. …”
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Performance Evaluation of Two ANFIS Models for Predicting Water Quality Index of River Satluj (India) by Sharad Tiwari, Richa Babbar, Gagandeep Kaur

“…Recently, artificial intelligence algorithms that are appropriate for nonlinear forecasting and also dealing with uncertainties have been applied to various domains of water quality forecasting. …”
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Analysis of Spatiotemporal Variation of NDVI in Pearl River Basin and Its Driving Force Based on Geodetector by WANG Ruiqing, JIANG Xiaohui, NIE Tong

“…On the basis of the yearly normalized difference vegetation index (NDVI) data from 2000 to 2015,climate,topography,vegetation,soil types,and socio-economic indicators are integrated to analyze the spatiotemporal variation characteristics and driving factors of NDVI in the Pearl River Basin with ArcGIS spatial analysis and geographical detectors (Geodetectors).The results indicate that ① NDVI in the Pearl River Basin shows phased growth in interannual variations from 2000 to 2015,and the overall average annual growth rate is 0.005 3,the medium-high vegetation coverage is greatly transformed into high vegetation coverage,which means the medium-highly and highly vegetated areas have complementary correspondence in spatiotemporal variations,and the average vegetation coverage is greatly improved.② The impact of human activities on the change in vegetation coverage in the Pearl River Basin is greater than that of natural factors.The intensity of human activities in the area reflected by the light intensity at night is the most important factor affecting vegetation changes,and the landform type is the main natural factor affecting vegetation coverage in the basin.On an annual scale,there is little correlation between the change in vegetation coverage and meteorological factors.③ The interaction between natural factors and socio-economic factors is mainly two-factor enhancement,and the two-factor enhancement of the landform type and light intensity at night makes a contribution of 58.9% to the q value;the nonlinear enhancement interaction is mainly between natural factors.By analyzing the range or type of various natural factors suitable for vegetation growth in the study area,this research provides a scientific basis for further promoting the soil and water conservation and ecological protection of the Pearl River Basin.…”
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Unconfined Compressive Strength Prediction of Rocks Using a Novel Hybrid Machine Learning Algorithm by Rafiqul Islam, Md. Arif Hossain

“…Unlike traditional UCS prediction methods that often struggle with slow convergence and local minima entrapment, this approach leverages the nonlinear modeling capabilities of SVR and enhances its performance through advanced optimizers. …”
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DYNAMIC CHARACTERISTIC BOUNDARY DOMAIN STRUCTURE ANALYSIS OF A SINGLE-STAGE GEAR SYSTEM IN TWO-PARAMETER PLANE (MT) by TIAN YaPing, ZHANG Feng, YANG JiangHui, KANG JunFeng

“…The analysis shows that the amplitude jump response of the system appears near the resonance frequency. The nonlinear jump also appears at the non-clearance bearing supports due to the effect of the gear backlash. …”
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A DBN-Based Deep Neural Network Model with Multitask Learning for Online Air Quality Prediction by Jiangeng Li, Xingyang Shao, Rihui Sun

“…In this paper, for the purpose of improve prediction accuracy of air pollutant concentration, a deep neural network model with multitask learning (MTL-DBN-DNN), pretrained by a deep belief network (DBN), is proposed for forecasting of nonlinear systems and tested on the forecast of air quality time series. …”
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Reduction of Structural Vibrations by Passive and Semiactively Controlled Friction Dampers by L. Gaul, J. Becker

“…It is well known that transient simulation of systems with friction and normal contact requires excessive computational power due to the nonlinear constitutive laws and the high contact stiffnesses involved. …”
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The Dose-Response Relationship between Alcohol Consumption and the Risk of Type 2 Diabetes among Asian Men: A Systematic Review and Meta-Analysis of Prospective Cohort Studies by Manman Han

“…High alcohol intake was significantly associated with increased risk of T2D (RR=1.16, 95% CI: 1.04–1.29; Q statistic p=0.326) compared to the lowest category of alcohol intake. Nonlinear association was observed between alcohol consumption and T2D risk in men (p=0.003). …”
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