A novel mathematical model with an LCA-based solution method to minimize earliness-tardiness costs on a single machine by considering batch delivery by Zahra Pourali, Bohlool Ebrahimi

“…Due to the limitations imposed by the large size complexity of the proposed model and its nonlinear nature, we use the recently proposed league championship algorithm (LCA) to solve arbitrary test problem instances of the problem on hand. …”
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Cervical Spine Mechanism for Reproduction of the Biomechanical Behaviours of the Human Neck during Rotation-Traction Manipulation by Yuancan Huang, Shuai Li, Minshan Feng, Liguo Zhu

“…In this system, a spring is designed as rectilinear and nonlinear to capture the viscoelasticity of soft tissues, and an electromagnetic clutch is used to simulate the sudden disengagement of the cervical vertebrae. …”
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Impact of Awareness to Control Malaria Disease: A Mathematical Modeling Approach by Malik Muhammad Ibrahim, Muhammad Ahmad Kamran, Malik Muhammad Naeem Mannan, Sangil Kim, Il Hyo Jung

“…In this study, a novel nonlinear mathematical model for malaria disease has been proposed. …”
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Physicochemical and Luminescent Properties of Copolymers Composed of Three Monomers: Polythiophenes Based on 3-Hexylthiophene and 3,4-Ethylenedioxythiophene by Marco Antonio Ramírez-Gómez, Karla Karina Guzmán-Rabadán, Edgar González-Juárez, Marisol Güizado-Rodríguez, Gabriel Ramos-Ortiz, Jorge Enrique Alba-Rosales, Huehueteotl Panzo-Medrano, Victor Barba, Mario Rodríguez, José Luis Maldonado, Miguel Ángel Basurto-Pensado

“…The optical properties of these copolymers were highly dependent on the presence of EDOT, the molecular weight, and the regioregularity rather than the presence of the third component (fluorene or TDR1). The good nonlinear absorption and luminescent properties exhibited by these copolymers were exploited to fabricate nanoparticles used as fluorescent tags for the imaging of microstructures.…”
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Study of the Effects of Different Dielectric Environments on the Characteristics of Electro-Explosive Discharge of Metal Wires and Shock Waves by Jiawei Liu, Jin Wang, Qilong Xue, Yuanyuan Zhang, Hufeng Li, Song Fang

“…Notably, the energy deposition efficiency shows a nonlinear relationship with fragmentation effectiveness, influenced by factors such as energy release modes, dielectric composition, and bubble dynamics. …”
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Accelerated Convergence Method for Flow Field Based on DMD-POD Combined Reduced-Order Optimization Model by Jianhui Li, Jun Huang, Yahui Sun, Guoqiang Li

“…The results show that for linear equations, the proposed method achieves a significant acceleration, with a convergence speed five times faster than traditional numerical methods. For the nonlinear Burgers equation, the proposed method also reduces the number of convergence steps by nearly 70%. …”
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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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Optimal Containment Control for Unknown Active Heterogeneous MASs via Model-Free Recursive Reinforcement Learning by Lina Xia, Qing Li, Ruizhuo Song, Gaofu Yang

“…Finally, the effectiveness of the proposed improved algorithm is validated using a heterogeneous nonlinear multi-agent model.…”
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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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Coherent beam combining of two all-PM thulium-doped fiber chirped pulse amplifiers by Bo Ren, Hongxiang Chang, Can Li, Tao Wang, Kaikai Jin, Jiayi Zhang, Kun Guo, Rongtao Su, Jinyong Leng, Pu Zhou

“…In addition, the effects of the nonlinear spectrum broadening during chirped pulse amplification on the CBC efficiency are also investigated, showing that a higher extent of pulse stretching is effective in alleviating the spectrum broadening and realizing a higher output power with decent combining efficiency. …”
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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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Application of machine learning in asphalt and concrete material testing: A comprehensive review by Khorshidi Meisam, Dave Eshan, Sias Jo

“…Key findings indicate that ensemble methods, such as Gradient Boosting and XGBoost, consistently outperformed other models in terms of prediction accuracy and handling nonlinear relationships, although they require significant computational power. …”
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Fractional Partial Differential Equation: Fractional Total Variation and Fractional Steepest Descent Approach-Based Multiscale Denoising Model for Texture Image by Yi-Fei Pu, Ji-Liu Zhou, Patrick Siarry, Ni Zhang, Yi-Guang Liu

“…We know from previous studies that fractional-order calculus has some unique properties comparing to integer-order differential calculus that it can nonlinearly enhance complex texture detail during the digital image processing. …”
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Establishment of an Improved Elman Neural Network Model for Predicting the Corrosion Rate of 3C Steel in Marine Environment and Analysis of the Factors Affecting Model Accuracy by Wenbo Jin, Zhuo Chen, Wanying Liu, Qing Quan, Zongxiao Ren

“…In the marine environment, there is a complex nonlinear relationship between the corrosion rate and seawater environmental parameters. …”
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High Relative Humidity‐Induced Growth of Perovskite Nanowires from Glass toward Single‐Mode Photonic Nanolasers at Sub‐100‐nm Scale by Zhiqiang Wang, Xinkuo Li, Chenduan Chen, Minhan Lou, Jiajia Wu, Kai Gao, Zengling Li, Ke Sun, Zhou Li, Zhu Xiao, Linhan Li, Pan Wang, Sai Bai, Jianrong Qiu, Dezhi Tan

“…The work not only presents a distinctive technique for the growth of MHPs but also endows MHP NWs with new opportunities for nonlinear optics, strong light‐matter interactions, and active photonic integrated devices.…”
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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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Testing the Adaptive Market Hypothesis and Time-Varying Efficiency in the Indian Equity Market by Nang Biak Sing, Rajkumar Giridhari Singh

“…We apply three variations of the variance ratio test and the returns have been whitened using the Autoregressive model with generalized autoregressive conditional heteroskedasticity (AR-GARCH) approach to examine the nonlinear predictability test. Further, we evaluate a fixed-length subsample window framework to detect the time-varying predictability and examine whether market conditions affect stock return predictability and market condition. …”
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