Fractional-order model of malaria incorporating treatment and prevention strategies by Benedict Celestine Agbata, Sander Kovaci, Dennis Ferdinand Agbebaku, Raimonda Dervishi, Emmanuel Abah, Godwin Christopher Ezike Mbah, Homan Emadifar, Aseel Smerat

“…Initially, we modeled limited treatment scenarios with integer-order nonlinear differential equations. However, recognizing the complexity of malaria dynamics, we enhanced the model with fractional-order derivatives and power laws to capture a more detailed picture of disease behavior. …”
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Collaborative manufacturing in the steelmaking–continuous casting section using intelligent technologies by Qing LIU, Mo LAN, Zicheng XIN, Jiangshan ZHANG

“…Additionally, the autonomous evolution of cognitive knowledge graphs and the visualization of virtual space twins are successfully realized. …”
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The possibilities of the non-contrast MRI perfusion in the quantitative assessment of changes in cerebral blood flow by V. V. Popov, Yu. A. Stankevich, O. B. Bogomyakova, A. A. Tulupov

“…The stroke focus shows a nonlinear dynamic of changes, starting from 19.86 ± 5.69 ml/100 g/ min on days 1–3, increasing to 27.57 ± 4.86 ml/100 g/min on days 7–10, and decreasing to 14.48 ± 3.66 ml/100 g/min by the 3–4 month, remaining low compared to visually intact areas and the control group. …”
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A Novel Spectral-Spatial Attention Network for Zero-Shot Pansharpening by Hailiang Lu, Mercedes E. Paoletti, Juan M. Haut, Sergio Moreno-Alvarez, Guangsheng Chen, Weipeng Jing

“…Traditional approaches struggle to capture nonlinear relationships between the original MS-PAN pair and the pansharpened MS, whilst deep learning (DL)-based methods introduce new challenges. …”
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Effects of hydration on the mechanical properties of deep shale under true triaxial stress: A case study of Fuling shale gas in Sichuan Basin, SW China by Jinzhou ZHAO, Zhihao YU, Lan REN, Ran LIN, Jianfa WU, Yi SONG, Cheng SHEN, Ying SUN

“…Stress-strain data and mechanical parameters of shale after hydration under high temperature and high pressure were obtained to investigate the effects of reservoir temperature, hydration time and horizontal stress difference on the mechanical strength of shale after hydration. By using nonlinear regression and interpolation methods, a prediction model for the mechanical strength of shale after hydration was constructed, and the mechanical strength chart of deep shale under high stress difference was plotted. …”
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Analysis of the Vegetative Growth Development and Phenology of Hop Cultivars Grown in the Subtropics Under a Two-Crop-a-Year System by Nathalia Rodrigues Leles, Alessandro Jefferson Sato, Robson Fernando Missio, Laura Baiocco Araldi, Aline Cristina de Aguiar, Sergio Ruffo Roberto

“…The development of the plant height and HGR was analyzed by nonlinear regressions of the Gompertz model and Gaussian function, respectively. …”
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VR Vertigo Level Classification Using a Multi-Dimensional Taylor Network Approach by Ziyan Wang, Ying Yan, Jun Cai, Chengcheng Hua, Na Liu, Qi Chen, Ming Li, Danxu Zhang

“…Unlike deep neural networks, BP-MTN represents complex nonlinear functions as polynomial functions using a simple network structure based solely on addition and multiplication operations. …”
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Cross-Scale Feature Blending Model for Surface Defect Identification in Machine Tool Elements Resilient to Contaminant Interference by Dong Wu, Chunhua Guo, Renpu Li, Zhigang Ma

“…This framework, inspired by the fundamental U-Net architecture, is developed with three crucial modules: the Nonlinear Activation-Free (NAF) block, the Feature Blending Block(FBB), and the Focused Linear Attention (FLA) module. …”
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Mathematical Analysis of a Navier–Stokes Model with a Mittag–Leffler Kernel by Victor Tebogo Monyayi, Emile Franc Doungmo Goufo, Ignace Tchangou Toudjeu

“…In the domains of science and engineering, these methods work well for solving a wide range of linear and nonlinear fractional partial differential equations and provide numerical solutions in terms of power series, with terms that are simple to compute and that quickly converge to the exact solution. …”
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The influence of baseline platelet on mortality risk in stroke and cancer patients: a cross-sectional analysis of the NHANES database by Yuqi Pei, Wei Ouyang, Peiyun Qi, Zhongjie Yan, Yaoru Li, Xiangjian Zhang, Cong Zhang, Lili Cui

“…The association between platelet and mortality was characterized visually using restricted cubic spline (RCS). Weighted multivariable Cox regression models were performed to evaluate the association between platelet count and mortality. …”
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Fatigue and Distracted Driving Recognition Method Based on Multimodal Information Fusion by Deyong Guan, Qi Wang, Ke Wang, Xinyu Song

“…Currently, mainstream research relies on visual features, EEG (Electroencephalography), EOG(Electrooculography), and EMG (Electromyography) to identify driving status. …”
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Investigation of ACS image stabilization of on-board optoelectronic guidance and tracking devices by K. A. Burdinov, K. M. Shashkina, Ehsan Shaghaei

“…Then, the decomposition of a two-link ACS with nonlinear cross-couplings in the CO was performed. …”
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SSVEP Enhancement in Mixed Reality Environment for Brain–Computer Interfaces by Jieyu Wu, Feng He, Xiaolin Xiao, Runyuan Gao, Lin Meng, Xiuyun Liu, Minpeng Xu, Dong Ming

“…Expanding the application possibilities of brain-computer interfaces (BCIs) is possible through their implementation in mixed reality (MR) environments. However, visual stimuli are displayed against a realistic scene in the MR environment, which degrades BCI performance. …”
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Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm by Tengjie Yang, Tengjie Yang, Xinqiang Gao, Xinqiang Gao, Lichuan Wang, Yongqing Xue, Haobo Fan, Zhengguo Zhu, Zhengguo Zhu, Jingbo Zhao, Beiyi Dong, Beiyi Dong

“…Among the various methods, machine learning-based rockburst prediction can better solve the nonlinear relationship between rockbursts and influencing factors and thus has great potential for engineering applications. …”
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Associations of the C-reactive protein-albumin-lymphocyte index with all-cause and cardiovascular mortality among individuals with cardiovascular disease: evidence from the NHANES... by Dunzheng Han, Lanlan Wu, Haobin Zhou, Yuting Xue, Shangfei He, Zhuang Ma, Shuwen Su, Peixin Li, Shenrong Liu, Zheng Huang

“…The RCS regression analysis revealed a nonlinear association between the CALLY index and all-cause and cardiovascular mortality (p < 0.05 for nonlinearity) in CVD patients. …”
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Random Forest Regression May Become the Optimal Regression Model for Osteoarthritis of the Knee in Elderly, in the Context of Embodied Cognition and Psychosomatic Medicine by Ma G, Chen J, Li J, Shi H, Chen Y

“…Psychological and physical metrics included the Visual Analog Scale (VAS), Beck Anxiety Inventory (BAI), Geriatric Depression Scale (GDS), and Pittsburgh Sleep Quality Index (PSQI). …”
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Longitudinal changes following the introduction of socially assistive robots in nursing homes: a qualitative study with ICF framework and causal loop diagramming by Eri Otaka, Kenji Sato, Daiki Shimotori, Tsuneki Ninomiya, Naoki Sugimoto, Yoshihiro Nakabo, Yoshio Matsumoto, Taiki Yoshida, Izumi Kondo

“…The identified codes were charted for each side—care recipients and caregivers sides— using a causal loop diagram, a tool used to visualize nonlinear dynamics in complex systems. Results Three and seven kinds of codes in the domains of “body functions” and “activities and participation”, respectively, were identified on the care recipients’ side; whereas on the caregivers’ side, one and five kinds of codes in the domains of “body functions” and “activities and participation”, respectively, were found. …”
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Mixed‐Dimensional Floating Gate Phototransistors for Mixed‐Modal In‐Sensor Reservoir Computing by Weilun Ouyang, Qirui Zhang, Jiangang Chen, Xiao Luo, Xuemei Wang, Yingying Chen, Fan Yang, Qi Nie, Qing Liu, Fucai Liu

“…Upon electrical/optical stimulation, the device demonstrates an on/off ratio of 107, over 7‐bit multistates, nonlinear memory decay behavior, and dynamics with tunable time scales. …”
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Dietary protein and risk of type 2 diabetes: findings from a registry-based cohort study and a meta-analysis of prospective cohort studies by Mingjing Xu, Jianheng Zheng, Tao Ying, Yang Zhu, Jun Du, Fan Li, Bo Chen, Yuwei Liu, Gengsheng He

“…The U-shaped association (P-nonlinear < 0.001) remained in adults with hypertension with a narrower protective range (12.20–15.35%E), with a linear association in adults with NAFLD (HR per 1%E: 0.952, 95% CI: [0.910, 0.995]), whereas no significant association in adults with hyperlipidemia or central obesity. …”
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Serum vitamin C levels and risk of osteoporosis: results from a cross-sectional study and Mendelian randomization analysis by Zhiwen Liu, Zijing Peng, Yelin Zhong, Jianjun Wu, Sicheng Xiong, Wei Zhong, Jiehua Luo, Zhihai Zhang, Hongxing Huang

“…Statistical computations were carried out in R, incorporating visual tools such as restricted cubic spline curves (RCS) and forest plots to clarify the dose–response dynamics and variations across different subgroups. …”
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