Study on Mechanical Behavior of Fully Encased Composite Slender Columns with High-Strength Concrete Using FEM Simulation by Getinet Melesse, Samuel Jima, Tegegn Asale, Yayesew Moges, Hibretu Kaske Kassa

“…The attempt of this study is to develop a suitable constitutive model addressing the behavior of fully encased composite slender columns with high-strength concrete subjected to axial loading. The nonlinear finite element (FE) package ABAQUS version 6.14-2 is used to study the response of fully encased composite (FEC) slender columns. …”
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No Obesity Paradox—BMI Incapable of Adequately Capturing the Relation of Obesity with All-Cause Mortality: An Inception Diabetes Cohort Study by Mohammadreza Bozorgmanesh, Banafsheh Arshi, Farhad Sheikholeslami, Fereidoun Azizi, Farzad Hadaegh

“…To reconcile “the obesity paradox,” we tested if (1) the contribution of anthropometric measures to mortality was nonlinear and (2) the confounding of hip circumference contributed to the obesity paradox recently observed among diabetic patients. …”
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The association between life’s essential 8 and gallstones: A cross-sectional study by Yang Zhao, Xuesong Liu, Jingru Han, Bin Feng, Chowtin Yan, Jianfu Zhao

“…RCS analyses suggested a nonlinear relationship between LE8 and gallstones. …”
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The Innovative Design of Deep In Situ Pressure Retained Coring Based on Magnetic Field Trigger Controller by Guikang Liu, Mingzhong Gao, Zhiwen Yang, Ling Chen, Maoquan Fu, Heping Xie

“…The results show that a complex magnetization combination can weaken the nonlinear negative correlation between the magnetic force and distance. …”
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Higher intakes of lysine, threonine and valine are inversely associated with non-alcoholic fatty liver disease risk: A community-based case-control study in the Chinese elderly by Xueqi Li, Wenjun Ma, Ting Yang, Chong Wang, Wei Zhang, Hui Li, Ting Zhao, Xiaofei Guo

“…Restricted cubic spline model was used to evaluate a nonlinear relationship between amino acid intake and NAFLD risk. …”
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Reaction Kinetics of Cinnamaldehyde Hydrogenation over Pt/SiO2: Comparison between Bulk and Intraparticle Diffusion Models by Ali Al-Shathr, Zaidoon M. Shakor, Bashir Y. Al-Zaidi, Hasan Sh. Majdi, Adnan A. AbdulRazak, Safa Aal-Kaeb, Adel A. Shohib, James McGregor

“…The kinetic parameters were obtained by applying a nonlinear dynamic optimization algorithm. Nevertheless, the comparison between the methodology of the present model and these five models indicated that the non-competitive mechanism is more acceptable and identical with the single-site Langmuir–Hinshelwood kinetic model including mass transfer effects and it mimicked the reactant behavior better than the other models. …”
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Versatile graceful degradation framework for bio-inspired proprioception with redundant soft sensors by Taku Sugiyama, Kyo Kutsuzawa, Dai Owaki, Elijah Almanzor, Fumiya Iida, Mitsuhiro Hayashibe

“…Simulation experiments with a musculoskeletal leg that contains 40 nonlinear soft sensors demonstrate the effectiveness of the proposed framework. …”
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Comparison of Kolmogorov–Arnold Networks and Multi-Layer Perceptron for modelling and optimisation analysis of energy systems by Talha Ansar, Waqar Muhammad Ashraf

“…KAN models are embedded in the optimisation framework of nonlinear programming and feasible optimal solutions are estimated, maximising thermal efficiency up to 42.17 ± 0.88 % and minimising turbine heat rate to 7487 ± 129 kJ/kWh corresponding to power generation of 500 ± 14 MW for the thermal power plant. …”
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AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning by Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, Muhammad Tahir Hassan, Mustabshirha Gul, Naveed Husnain, Jianchun Mi

“…The novelty of this review lies in its detailed examination of ML and DL models, highlighting their ability to handle complex and nonlinear patterns in Solar Irradiance (SI) data. We systematically explored the evolution from traditional empirical, including machine learning (ML), and physical approaches to these advanced models, and delved into their real-world applications, discussing economic and policy implications. …”
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Conductance Model for Extreme Events: Impact of Auroral Conductance on Space Weather Forecasts by Agnit Mukhopadhyay, Daniel T. Welling, Michael W. Liemohn, Aaron J. Ridley, Shibaji Chakraborty, Brian J. Anderson

“…CMEE has been developed using nonlinear regression over a year's worth of 1‐min resolution output from assimilative maps, specifically including times of extreme driving of the solar wind‐magnetosphere‐ionosphere system. …”
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Advanced neural network modeling with Levenberg–Marquardt algorithm for optimizing tri-hybrid nanofluid dynamics in solar HVAC systems by A. Aziz, S.A.H. Shah, H.M.S. Bahaidarah, T. Zamir, T. Aziz

“…This model analyzes the magnetohydrodynamic (MHD) radiative flow of a rotating Sutterby tri-hybrid nanofluid, incorporating critical factors such as linear thermal radiation, boundary slip, and activation energy. The nonlinear differential equations derived from the physical model are solved using the three-step Lobatto IIIa method, ensuring precision and reliability. …”
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A mid-circuit erasure check on a dual-rail cavity qubit using the joint-photon number-splitting regime of circuit QED by Stijn J. de Graaf, Sophia H. Xue, Benjamin J. Chapman, James D. Teoh, Takahiro Tsunoda, Patrick Winkel, John W. O. Garmon, Kathleen M. Chang, Luigi Frunzio, Shruti Puri, Robert J. Schoelkopf

“…Abstract Quantum control of a linear oscillator using a static dispersive coupling to a nonlinear ancilla underpins a wide variety of experiments in circuit QED. …”
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Harnessing the Influence of Pressure and Nutrients on Biological CO₂ Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Appro... by Alexandros Chatzis, Konstantinos N. Kontogiannopoulos, Nikolaos Dimitrakakis, Anastasios Zouboulis, Panagiotis G. Kougias

“…RSM identified optimal ranges for trace elements and pressure, while ANN-GA demonstrated superior predictive accuracy, capturing nonlinear relationships with a high R² (>0.99) and minimal prediction errors. …”
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BIPE: A Bi-Layer Predictive Ensemble Framework for Forest Fire Susceptibility Mapping in Germany by Ling Hu, Volker Hochschild, Harald Neidhardt, Michael Schultz, Pegah Khosravani, Hadi Shokati

“…Our results confirm that BIPE outperforms traditional high-performance models like Support Vector Machine (SVM), Multilayer Perceptron (MLP), Extreme Gradient Boosting (XGBoost), Deep Neural Network (DNN), and Convolutional Neural Network (CNN), showcasing its practical effectiveness and reliability on the data of nonlinear, high-dimensional, and complex interactions. …”
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PUBLIC ADMINISTRATION: MODERNIZING THE CURRENT MODEL OF STATE MANAGEMENT by E. V. Ohotskii

“…Taking into consideration the logic, historical continuity, nonlinearity of modernization reforms and logical determinacy of social systems it looks like we are to integrate the best of the global public administration practice, especially those elements that will actually facilitate the rise of Russia as a modern democratic social law-governed state.…”
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Effective Removal of Malachite Green from Aqueous Solutions Using Magnetic Nanocomposite: Synthesis, Characterization, and Equilibrium Study by Ali Q. Alorabi

“…Different parameters, such as pH of the solution (3–8), adsorbent dosage (10–100 mg), temperature (25–45°C), contact time (5-240 min), and initial MG concentrations (20–350 mg/L), for the elimination of the MG dye using Fe3O4@AJPL were optimized and found to be 7, 50 mg, 45°C, 120 min, and 150 mg/L, respectively. The nonlinear isotherm and kinetic studies exhibited a better fitting to second-order kinetic and Langmuir isotherm models, with a maximum monolayer adsorption capacity of 318.3 mg/g at 45°C, which was highly superior to the previously reported magnetic nanocomposite adsorbents. …”
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Projected Thermally Driven Elderly Mortality for Beijing Under Greenhouse Gas and Stratospheric Aerosol Geoengineering Scenarios by Jun Wang, Liyun Zhao, John C. Moore

“…Temperature‐related mortality risk were calculated using a distributed lag nonlinear model (DLNM) of the elderly (over 65s) under the dynamically downscaled moderate (RCP4.5) and extreme (RCP8.5) greenhouse gas, and the G4 SAI scenarios. …”
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Acoustic Emission and Failure Modes for Coal-Rock Structure under Different Loading Rates by Ning Wang, Yingqian Xu, Dengyuan Zhu, Nan Wang, Benfu Yu

“…The following conclusions are drawn: (1) when loading rate was relatively low, plastic deformation of coal mass fully developed, while surface cracks of coal mass was not apparent and slip along the transfixion crack occurred in the postpeak stage; (2) with the increase in loading rate, surface tensile cracks developed into splitting cracks at the end of the prepeak stage and throughout the postpeak stage, and brittle failure finally happened due to the release of nonlinear step-shaped energy or one-time strain energy release of upper rock mass, resulting in the damage of internal bearing structure and weakening of bearing capacity; (3) the deformation and failure process of combined samples showed obvious phases, and corresponding AE energy release rate could be divided into periodic linear growth and transient growth, while the cumulative energy of AE events has multiple peak points and transient growth with the increase of loading rate; (4) it was demonstrated that two distinct frequency bands existed in AE events, which were about 50 kHz and 150 kHz, and the distribution of AE events near 50 kHz was larger and stronger, representing the main frequency range of cracks in coal mass. …”
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Effects of heat generation and absorption on thermal radiative MHD flow of chemically reacting Casson nanofluids over a wedge by S. Venkateswarlu, B. Hari Babu, M. Veera Krishna

“…The basic governing partial differential equations are converting into nonlinear ordinary differential equations with employing suitable similarity transformations. …”
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A collection of optical solitons for the concatenation model in the presence of multiplicative white noise and spatio-temporal dispersion by Wedad Albalawi, Nauman Raza, Saima Arshed, Evren Hincal, Saud Owyed, Kottakkaran Sooppy Nisar, Mohammed Zakaria

“…The extraction of novel optical solitons for the proposed model, which includes Kerr law nonlinearity, space–time dispersion, different Hamiltonian perturbation terms, and the effect of multiplicative white noise, is the aim of this work. …”
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