Sulfhydryl Functionalized Magnetic Chitosan as an Efficient Adsorbent for High-Performance Removal of Cd(II) from Water: Adsorption Isotherms, Kinetic, and Reusability Studies by Jari S. Algethami, Ayoub Abdullah Alqadami, Saad Melhi, Mohsen A. M. Alhamami, Ahmed M. Fallatah, Moustafa A. Rizk

“…The adsorption was analyzed using nonlinear isotherm and kinetic models. The outcomes revealed that the adsorption process obeyed the Langmuir and the pseudo-first-order models. …”
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Prediction Model for Spontaneous Combustion of Coal around Boreholes Using Bedding Gas Drainage by Youxin Zhao, Qingjie Qi, Xinlei Jia

“…The results showed a nonlinear regression relationship between the sealing hole length, sealing hole depth, negative pressure, and coal seam depth and the spontaneous combustion of the coal around the gas drainage borehole; the prediction regression model is significant. …”
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A Review on Machine Learning Application in Biodiesel Production Studies by Yuanzhi Xing, Zile Zheng, Yike Sun, Masoome Agha Alikhani

“…Biodiesel production is an intricate process that requires identifying unknown nonlinear relationships between the system input and output data; therefore, accurate and swift modeling instruments like machine learning (ML) or artificial intelligence (AI) are necessary to design, handle, control, optimize, and monitor the system. …”
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A New Empirical Correlation for Estimation of EBF Steel Frame Behavior Factor under Near-Fault Earthquakes Using the Genetic Algorithm by Seyed Abdonnabi Razavi, Navid Siahpolo, Mehdi Mahdavi Adeli

“…To establish different geometrical properties of models, 3−, 6−, 9−, 12−, 15, and 20− story steel EBF frames were considered with 3 different types of link beam, 3 different types of column stiffness, and 3 different types of brace slenderness. Using nonlinear time history under 20 near-fault earthquake, all models were analyzed to reach 4 different performance levels. 6769 data were used as GA training data. …”
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Research on Bridge Structure Reliability Evaluation due to Vessels Collison Based on a Statistical Moment Method by Tao Fu, Yang Liu, Zhixin Zhu

“…This paper combines the moment method theory of structural reliability with finite element analysis and proposes a statistical moment method based on finite element analysis for the calculation of vessel-bridge collision reliability, which solves the structural reliability problem with a nonlinear implicit performance function. According to the probability model based on current velocity, vessel velocity, and vessel collision tonnage, the estimate points in the standard normal space are converted into estimate points in the original state space through the Rosenblatt reverse transform. …”
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Damage Concentration Effect of Multistory Buckling-Restrained Braced Frames by Hanqin Wang, Yulong Feng, Jing Wu, Qing Jiang, Xun Chong

“…Due to the low postyield stiffness of buckling-restrained braces (BRBs), multistory buckling-restrained braced frames (BRBFs) subjected to earthquakes are prone to lateral deformations and damage concentrations at certain stories, which is deemed a damage concentration effect (DCE). A series of nonlinear pushover analyses and response history analyses are conducted to investigate the key factors affecting the DCE of BRBFs. …”
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Backstepping Controller Design for Power Quality Improvement in a Two-Stage Grid-Connected Photovoltaic Systems with LCL Filter by Isaac Fredy Bendé, Etienne Tchoffo Houdji, Guy Bertrand Tchaya, Jean Luc Dit Bouerdjila Nsouandélé, Martin Kamta, null Haman-Djalo

“…Thus, a nonlinear controller designed using the backstepping technique is proposed. …”
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Ship Radiated Noise Recognition Using Resonance-Based Sparse Signal Decomposition by Jiaquan Yan, Haixin Sun, En Cheng, Xiaoyan Kuai, Xiaoliang Zhang

“…First, the observed signals are decomposed into high resonance component, low resonance component, and residual component by RSSD, which is a nonlinear signal analysis method based not on frequency or scale but on resonance. …”
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Physical Simulation of the Water-Conducting Fracture Zone of Weak Roofs in Shallow Seam Mining Based on a Self-Designed Hydromechanical Coupling Experiment System by Hao Zha, Weiqun Liu, Qinghong Liu

“…The relationship between fracture depth and coal-seam excavation distance is obviously nonlinear. The leakage velocity of surface water remains stable in the early stage of excavation and increases when the fracture develops through the main aquifuge. …”
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Model-enhanced spatial-temporal attention networks for traffic density prediction by Qi Guo, Qi Tan, Yue Peng, Long Xiao, Miao Liu, Benyun Shi

“…However, accurately predicting real-time traffic density has been a significant challenge in Intelligent Transportation Systems (ITS) due to the nonlinear and spatial-temporal dynamic complexity of traffic density. …”
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ON STABILITY OF THE OIL DISPLACEMENT FRONT UNDER CONDITIONS OF THERMOGAS IMPACT ON THE OIL BEARING LAYER by K. V. Dobrego

“…Further research into methods and mechanisms of the displacement front perturbation compensation, including the front dynamics at nonlinear stage, might be conducted via detailed 2D and 3D numerical simulation of the system.…”
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A discrete two time scales model of a size-structured population of parasitized trees by Rafael Bravo de la Parra, Ezio Venturino

“…The model was studied based on an associated nonlinear matrix model, in which the presence of the parasites was only reflected in the value of its parameters. …”
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Superhydrophobic carbon papers for electrostatic water collection from fog by Xie Qiongdan, Yang BeiEr, Mu Jiangtao, Zhang Haoran, Yu Jiaxin, Liu Yunchen, Fang Deyu, Cong Longqi, Yang Qihang, Liu Ruoqi, Chen Qianqian

“…The fog collection efficiency is directly correlated with electrostatic air current, though the relationship is nonlinear: efficiency initially increases sharply with current before leveling off.…”
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Experiment and Analysis of Cord Stress on High-Speed Radial Tire Standing Waves by Peng-Fei Sun, Hong-Wu Huang, Shui-Ting Zhou, Yi-Jui Chiu, Meng Du, Dong-Hao Zhao

“…A finite element model for a 195/65R15 radial tire is established with the nonlinear analysis software ABAQUS, based on the tire structure and cord parameters. …”
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Development of an Ensemble Intelligent Model for Assessing the Strength of Cemented Paste Backfill by Yuantian Sun, Guichen Li, Junfei Zhang, Junbo Sun, Jiahui Xu

“…Predicting the UCS of CPB using traditional mathematical models is far from being satisfactory due to the highly nonlinear relationships between the UCS and a large number of influencing variables. …”
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Macro-Micro Response Characteristics of Surrounding Rock and Overlying Strata towards the Transition from Open-Pit to Underground Mining by Xiaoshuang Li, Shun Yang, Yunmin Wang, Wen Nie, Zhifang Liu

“…The mining deformation of the surrounding rock underground, and of the overlying strata, is shown to develop in three stages, namely: (1) small and local deformation, (2) continuous linear increase, and (3) the violent nonlinear collapse of the entire system. The internal distribution of stress in the surrounding rock and adjacent overlying strata of the inclined mined-out area is complicated. …”
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Analysis of Chaotic Features in Dry Gas Seal Friction State Using Acoustic Emission by Shuai Zhang, Xuexing Ding, Jinlin Chen, Shipeng Wang, Lanxia Zhang

“…In this study, a chaos theory-based characterization method is proposed to address the nonlinear behavior of acoustic emission (AE) signals during the startup and shutdown phases of dry gas seals. …”
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A Risk Assessment Algorithm for College Student Entrepreneurship Based on Big Data Analysis by Chengjun Zhou, DuanXu Wang

“…The changes in risk assessment for college student entrepreneurship are also dynamic and nonlinear and are affected by many factors, which make the risk assessment process for college student entrepreneurship quite complicated. …”
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Sparse Deep Nonnegative Matrix Factorization by Zhenxing Guo, Shihua Zhang

“…To improve the performance of dealing with linearly inseparable data, we also considered to incorporate popular nonlinear functions into these frameworks and explored their performance. …”
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Closed-Form Models of Accuracy Loss due to Subsampling in SVD Collaborative Filtering by Samin Poudel, Marwan Bikdash

“…We postulate and analyze a nonlinear subsampling accuracy loss (SSAL) model based on the root mean square error (RMSE) and two SSAL models based on the mean square error (MSE), suggested by extensive preliminary simulations. …”
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