Numerous Multi-Wave Solutions of the Time-Fractional Boussinesq-like System via a Variant of the Extended Simple Equations Method (SEsM) by Elena V. Nikolova, Mila Chilikova-Lubomirova

“…In this study, we propose a generalized framework based on the Simple Equations Method (SEsM) for finding exact solutions to systems of fractional nonlinear partial differential equations (FNPDEs). …”
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Exploring the Mechanical Properties of Bioprinted Multi-Layered Polyvinyl Alcohol Cryogel for Vascular Applications by Argyro Panieraki, Nasim Mahmoodi, Carl Anthony, Rosemary J. Dyson, Lauren E. J. Thomas-Seale

“…Stress–strain curves exhibited nonlinear characteristics, better captured by quadratic (as opposed to linear) fitting, within the tested strain range (≤40%). …”
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Research on underwater target detection error compensation based on improved binocular vision by Wenhui Wang, Fumeng Ye, Yumin Peng, Shi Dong

“…A novel binocular vision error compensation method is proposed to solve the major error compensation problem caused by nonlinear distortion of camera and projector on underwater target detection. …”
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A Study of Periodicities in a One-Dimensional Piecewise Smooth Discontinuous Map by Rajanikant A. Metri, Bhooshan Rajpathak, Kethavath Raghavendra Naik, Mohan Lal Kolhe

“…In this study, we investigate the nonlinear dynamical behavior of a one-dimensional linear piecewise-smooth discontinuous (LPSD) map with a negative slope, motivated by its occurrence in systems exhibiting discontinuities, such as power electronic converters. …”
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Financial accounting management strategy based on business intelligence technology for sustainable development strategy by Jianben Feng

“…However, traditional financial risk assessment methods rely on linear assumptions, which have significant limitations in dealing with complex, high-dimensional, and nonlinear financial data of modern enterprises, making it difficult to accurately identify potential financial distress. …”
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Target Ship Recognition and Tracking with Data Fusion Based on Bi-YOLO and OC-SORT Algorithms for Enhancing Ship Navigation Assistance by Shuai Chen, Miao Gao, Peiru Shi, Xi Zeng, Anmin Zhang

“…Moreover, in the presence of the nonlinear motion of the own ship, the average relative position error of target ship visual measurements is maintained below 8%, achieving accurate absolute position estimation without reference objects. …”
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Electroencephalography-Based Pain Detection Using Kernel Spectral Connectivity Network with Preserved Spatio-Frequency Interpretability by Santiago Buitrago-Osorio, Julian Gil-González, Andrés Marino Álvarez-Meza, David Cardenas-Peña, Alvaro Orozco-Gutierrez

“…(ii) Furthermore, we introduce a frequency-based strategy for class activation mapping to visualize pertinent pain EEG features, thereby enhancing visual interpretability through spatio-frequency patterns. …”
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Geovisual explainable AI for understanding frozen ground in Qinghai-Tibet Plateau urban region by Chuan Chen, Yeming Lao, Jihui Fan, Lingbo Liu, Youjia Liang, Liqiu Meng

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Understanding the Influence of Environmental Elements on Spatial Attractiveness in a Jiangnan Water Town Through Computer Vision Techniques by Chenpeng Xu, Hongshi Cao, Zhengwei Xia, Xinjie You, Zixuan Wang

“…These findings, based on an interpretable analytical framework, reveal that the effects of environmental elements on spatial attractiveness are context-dependent and nonlinear, varying with their proportions, combinations, and perspectives. …”
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Thermal transport and bio-convection transport phenomenon in non-Newtonian couple stress model via OHAM through Darcy-Forchheimer porous medium by Muhammad Sohail, Syed Tehseen Abbas, Muhammad Hussain Ali, Ibrahim Mahariq

“…By using a similarity transformation, the complex governing equations are transformed into nonlinear ordinary differential equations. The bioconvection microbe, temperature, velocity, and concentration are all displayed both analytically and visually. …”
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Sensor-Based Assessment of Mental Fatigue Effects on Postural Stability and Multi-Sensory Integration by Yao Sun, Yingjie Sun, Jia Zhang, Feng Ran

“…A 45 min incongruent Stroop task was employed to induce MF, validated via subjective Visual Analog Scale (VAS) scores and psychomotor vigilance tests. …”
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Uncover Hidden Physical Information of Soft Matter by Observing Large Deformation by Huanyu Yang, Yitao Cheng, Penghui Zhao, Jiageng Cai, Zhaowei Yin, Shaomin Chen, Ge Guo, Chi Zhu, Ke Liu, Lingyun Zu

“…It finds the most probable values of imperceptible physical parameters by matching the nonlinear surface deformation between observation and finite element simulation through parallel Bayesian optimization, balancing the trade‐off between simulation accuracy and computational efficiency. …”
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Drone Navigation and Target Interception Using Deep Reinforcement Learning: A Cascade Reward Approach by Ali A. Darwish, Arie Nakhmani

“…First, we tackle the challenge of partial observability when employing nonlinear function approximators for learning stochastic policies. …”
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Natural movement: Measuring optimal pathway configuration of museum layout and pedestrian accessibility through visibility graph analysis and intelligent agent simulation by Xiang Wang, Mengsi Yang, Weicong Li, Lin Yuan, Qimeng Ren, Qian Xie, Runze Liu

“…This study explores the interaction between spatial configuration, natural mobility, and visual accessibility in exhibition spaces, an area that remains underexplored. …”
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Integrating circuit theory and network modeling to identify ecosystem carbon sequestration service flow networks by Chen Qu, Jia Xu, Wen Li, Yucen Zhai, Yiting Wang, Baozhu Liu, Shaoning Yan

“…The response of carbon sequestration services to landscape patterns and network topology indicators showed a nonlinear relationship, exhibiting a threshold effect. …”
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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

“…Predicting the compressive strength (CS) is vital for achieving optimal performance. Given the nonlinear characteristics of supplementary cement material concrete (SCMC) mixtures, researchers are increasingly turning to machine learning methods. …”
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Haar wavelet Arctic Puffin optimization method (HWAPOM): Application to logistic models with fractal-fractional Caputo-Fabrizio operator by Najeeb Alam Khan, Sahar Altaf, Nadeem Alam Khan, Muhammad Ayaz

“…These matrices transform the differential equations into a system of algebraic equations involving unknown coefficients, and then optimize them using the APO algorithm, ensuring efficient and accurate solutions. Two nonlinear quadratic and cubic logistic models were examined to demonstrate the effectiveness of this method. …”
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A survival prediction network based on multi-scale hypergraph enhancement and cross-modal refinement by Chaofeng Yang, Yongjie Liang, Fan Qin, Yulong Cao, Peiyuan Wang, Jiaying Fan, Bizhong Wei

“…In the method design, the hypergraph construction module captures high-order feature associations of pathological images at different resolutions and effectively aligns feature distributions across scales through homomorphic nonlinear mapping; subsequently, the cross-modal refinement Transformer module based on rotary encoding achieves dynamic information transfer and complementary refinement between visual features and multi-omics data through attention mechanisms and position decay designs; finally, a feature fusion attention mechanism is introduced to fuse multi-modal features, which both suppresses inter-modal redundancy and effectively mitigates information conflicts, thereby enhancing the precision of individualized prognosis analysis. …”
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Population pharmacokinetics and dosing optimization of imipenem in Chinese elderly patients by Jing Wang, Qiu Fang, Xuemei Luo, Lu Jin, Huaijun Zhu, Huaijun Zhu

“…ObjectivesTo assess the pharmacokinetics and pharmacodynamics of imipenem in a retrospective cohort of hospitalized Chinese older patients.MethodsA population pharmacokinetic (PPK) model was constructed utilizing a nonlinear mixed-effects modeling approach. The final model underwent evaluation through bootstrap resampling and visual predictive checks. …”
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Population pharmacokinetics of vancomycin in non-extremely preterm neonates based on real-world studies: influence of daily fluid input and diuretics by Kai Zhao, Fang Zhao, KangLu Ju, Hui Chen, Xin Zhai, Ying Chang, ZhenGuo Liu

“…A PPK model for vancomycin was constructed using a nonlinear mixed-effects approach. The predictive power and stability of the final model were assessed through visual predictive checks, normalized prediction distribution errors, and bootstrapping. …”
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