Warming alters plankton body-size distributions in a large field experiment by Dania Albini, Emma Ransome, Alex J. Dumbrell, Samraat Pawar, Eoin J. O’Gorman, Thomas P. Smith, Thomas Bell, Michelle C. Jackson, Guy Woodward

“…We addressed this gap by conducting an extensive freshwater mesocosm experiment across 36 large field mesocosms exposed to intergenerational warming treatments of up to +8 °C above ambient levels. We found a nonlinear decrease in the overall mean body size of zooplankton with warming, with a 57% reduction at +8 °C. …”
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Optimum Scheduling the Electric Distribution Substations with a Case Study: An Integer Gaining-Sharing Knowledge-Based Metaheuristic Algorithm by Said Ali Hassan, Khalid Alnowibet, Prachi Agrawal, Ali Wagdy Mohamed

“…The aim is to minimize the total establishing and operating costs of the stations based on a mathematical programming model with nonlinear objective function and integer decision variables. …”
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Kinetodynamic Model and Simplified Model of X-Type Seat System with an Integrated Spring Damper by Changcheng Zhou, Leilei Zhao, Yuewei Yu, Fuxing Yang, Song Wang

“…Then, the motion equation of the simplified model was created. Secondly, the nonlinear dynamic equation of a complex seat model including the kinematic characteristics was established. …”
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Efficient and Accurate Optimal Linear Phase FIR Filter Design Using Opposition-Based Harmony Search Algorithm by S. K. Saha, R. Dutta, R. Choudhury, R. Kar, D. Mandal, S. P. Ghoshal

“…A comparison of simulation results reveals the optimization efficacy of the OHS over the other optimization techniques for the solution of the multimodal, nondifferentiable, nonlinear, and constrained FIR filter design problems.…”
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Feature Selection and Classifier Parameters Estimation for EEG Signals Peak Detection Using Particle Swarm Optimization by Asrul Adam, Mohd Ibrahim Shapiai, Mohd Zaidi Mohd Tumari, Mohd Saberi Mohamad, Marizan Mubin

“…The peak point can be detected using several approaches, including time, frequency, time-frequency, and nonlinear domains depending on various peak features from several models. …”
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TIE‐GCM ROPE ‐ Dimensionality Reduction: Part I by Piyush M. Mehta, Richard J. Licata

“…This work focuses on the dimensionality reduction step of the ROPE development process and addresses three limitations of the proof‐of‐concept: (a) extending the altitude upper boundary from 450 km to nearly 1000 km, (b) employing deep learning for nonlinear dimensionality reduction over principal component analysis (PCA) for improved performance during storm periods, and (c) maintaining the spatial resolution of the physical TIE‐GCM model, without down‐sampling, to preserve the spatial scales and variations. …”
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A CEEMDAN-Based Entropy Approach Measuring Multiscale Information Flow between Macroeconomic Conditions and Stock Returns of BRICS by Emmanuel Asafo-Adjei, Anokye Mohammed Adam, Peterson Owusu Junior, Patrick Kwashie Akorsu, Clement Lamboi Arthur

“…We model a mixture of asymmetric and nonlinear bidirectional and unidirectional causality between four macroeconomic variables (exchange rate, GDP, global economic policy uncertainty, and relative CPI) and stock returns of BRICS economies in the frequency-domain using the information flow theory. …”
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Non-linear analysis of masonry infilled steel frame under in-plane loading using Multi Pier method by Mohammad Mosa Ahmadvand, Ahmad Maleki, Masoud Pourbaba

“…The present study introduces a novel method for analyzing masonry infilled steel frames, termed the Multi Pier (MP) approach, which utilizes truss elements exhibiting nonlinear softening behaviors. The basis of the model is to transfer the masonry infilled frame into an assemblage of piers and braces. …”
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Improved Harmony Search Algorithm to Compute the Underfrequency Load Shedding Parameters by Jose Miguel Riquelme-Dominguez, Martha N. Acosta, Francisco Gonzalez-Longatt, Manuel A. Andrade, Ernesto Vazquez, José Luis Rueda

“…Defining settings of a conventional UFLS scheme is a very complex problem due to the nonlinear nature of the frequency response, and the size of the problem is vast because of the number of UF-relays spread on the power system. …”
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Machine learning techniques for estimating high–temperature mechanical behavior of high strength steels by C. Yazici, F.J. Domínguez-Gutiérrez

“…The proposed framework was validated against experimental data, demonstrating strong agreement and confirming its effectiveness in capturing complex nonlinear material behavior. This study provides a significant advancement over traditional empirical methods by offering a data-driven approach for predicting HSS performance under elevated temperatures, facilitating the design of safer and more efficient structural components in high-temperature applications.…”
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Micropolar Couple Stress Nanofluid Flow by Non-Fourier’s-Law Heat Flux Model past a Stretching Sheet by Gosa Gadisa, Tagay Takele, Shibiru Jabessa

“…In this investigation, thermal radiation effect on MHD nonlinear convective micropolar couple stress nanofluid flow by non-Fourier’s-law heat flux model past a stretching sheet with the effects of diffusion-thermo, thermal-diffusion, and first-order chemical reaction rate is reported. …”
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Asymmetric Effects of Trade Openness and National Income on Government Size in BRICS Countries: New Evidence for Wagner’s Law by Дхиани Мехта, Никундж Патель

“…This study investigates the validity of Wagner’s law and the Compensation Hypothesis in the context of BRICS. Using a panel nonlinear autoregressive distributed lag model on annual panel data from 1999 to 2023, our findings confirm Wagner’s law, showing a positive relationship between economic growth and government size. …”
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Analytic Solutions of 2D Cubic Quintic Complex Ginzburg-Landau Equation by F. Waffo Tchuimmo, J. B. Gonpe Tafo, A. Chamgoue, N. C. Tsague Mezamo, F. Kenmogne, L. Nana

“…It is applied to reduce the two-dimensional complex cubic-quintic Ginzburg-Landau equation to the quintic nonlinear ordinary differential equation, easily solvable. …”
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Dynamic Response Analysis of Planar Multilink Mechanism considering Wear in Clearances by Shuai Jiang, Xiulong Chen, Yu Deng

“…The dynamic responses of mechanism considering two nonregular revolute clearances caused by wear are studied in depth. The nonlinear characteristics of the mechanism after wear are studied by the phase diagram and Poincaré map. …”
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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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Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application by Zaher Mundher Yaseen, Hossam Faris, Nadhir Al-Ansari

“…The capability of the extreme learning machine (ELM) model in modeling stochastic, nonlinear, and complex hydrological engineering problems has been proven remarkably. …”
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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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