Empirical evidence for a process-based model of health-related quality of life using network analysis by Nicolette Stogios, Nicolette Stogios, Troy Francis, Troy Francis, Rachel G. Peiris, Aleksandra Stanimirovic, Aleksandra Stanimirovic, Valeria Rac, Valeria Rac, Robert P. Nolan, Robert P. Nolan

“…In support of this approach, we developed a novel HRQL assessment tool called the EUROIA: EvalUation of goal-diRected activities to prOmote wellbeIng and heAlth, which uses self-report data to assess the frequency with which individuals engage in a sample of goal-directed activities in pursuit of living well.MethodsWe conducted a network analysis to evaluate the hypothesis that the EUROIA subscales would demonstrate a meaningful pattern of associations with an established HRQL measure and associated indices of psychosocial functioning and efficacy in self-managing a chronic medical condition.ResultsThe EUROIA is associated with established indices of HRQL in a manner that is theoretically consistent with our process-based model. …”
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A monocular endoscopic image depth estimation method based on a window-adaptive asymmetric dual-branch Siamese network by Nannan Chong, Fan Yang, Kewei Wei

“…The outputs from both branches are then integrated using a lightweight cross-attention feature fusion module, enabling cross-branch feature interaction and enhancing the overall feature representation capability of the network. Extensive ablation and comparative experiments were conducted on medical datasets (EAD2019, Hamlyn, M2caiSeg, UCL) and a non-medical dataset (NYUDepthV2), with both qualitative and quantitative results—measured in terms of RMSE, AbsRel, FLOPs and running time—demonstrating the superiority of the proposed model. …”
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Efficient TD3 based path planning of mobile robot in dynamic environments using prioritized experience replay and LSTM by Yunhan Lin, Zhijie Zhang, Yijian Tan, Hao Fu, Huasong Min

“…To verify the effectiveness of the proposed method, simulation and practical experiments were designed and conducted. In the simulation experiments, both static and dynamic obstacles were included in the test environment, along with experiments to assess generalization capabilities. …”
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Advancing water quality management: A synergistic approach using fractional differential equations and neural networks by Ateq Alsaadi

“…The proposed model underwent rigorous qualitative validation, ensuring the existence and uniqueness of solutions via fixed-point theory, while stability analysis was conducted using the Ulam-Hyers approach. The Adams-Bashforth numerical method was employed to obtain approximate solutions, enabling a more accurate simulation of pollution dynamics. …”
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Network models reveal high-dimensional social inferences in naturalistic settings beyond latent construct models by Junsong Lu, Chujun Lin

“…The network models informed the dynamics of naturalistic inferences, revealing how different inferences co-occurred and how they unfolded over time from concrete to abstract (Study 1). …”
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The TEDDY Framework: An Efficient Framework for Target Tracking Using Edge-Based Distributed Smart Cameras with Dynamic Camera Selection by Jaemin Yang, Jongwoo Lee, Ilju Lee, Yaesop Lee

“…These findings highlight the robustness, scalability, and energy efficiency of the framework in edge-based camera networks. Furthermore, the framework enables future advancements in dynamic resource management and scalable tracking technologies.…”
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Non-Fragile Estimation for Nonlinear Delayed Complex Networks with Random Couplings Using Binary Encoding Schemes by Nan Hou, Weijian Li, Yanhua Song, Mengdi Chang, Xianye Bu

“…The random couplings are represented by using the Kronecker delta function as well as a Markov chain. This paper aims to conduct a non-fragile state estimation such that, in the presence of some variations/perturbations in the gain parameter of the estimator, the estimation error dynamics will reach exponential ultimate boundedness in mean square and the ultimate bound will be minimized. …”
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Before and beyond the pandemic: Dynamics of illegal marine wildlife trade in Southern China amidst policy shifts and enforcement efforts by Wuying Lin, KuoRay Mao, Xinyi Zhao

“…This study examines the illegal marine wildlife trade in Southern China, focusing on sea turtles, giant clams, and corals, to assess enforcement challenges, market dynamics, and consumer behaviors. Adopting a multi-method approach, it incorporates a comprehensive policy and regulatory review spanning 1979–2022, along with market and consumer surveys conducted before and after the COVID-19 pandemic. …”
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Network analysis of the relationships between voice behavior and team psychological safety climate among Chinese nurses by Miaoji Lu, Ruinan Xia, Rui Wang, Xiaofang Zou

“…Statistical analysis was performed using SPSS 26.0 for baseline characteristics description. Network analysis was conducted on the RStudio platform, with network visualization implemented using the “qgraph” package, network centrality metrics calculated via the “qgraph” and “networktools” package, and network accuracy estimation along with stability testing performed using the “bootnet” package. …”
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An Improved Blockchain-Based Lightweight Vehicle-to-Infrastructure Handover Authentication Protocol for Vehicular Ad Hoc Networks by Shengbao Wang, Yixiao Wu, Kang Wen, Xin Zhou, Bin Hu, Qi Xie

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Mechanistic Insights into Salvigenin for Glucocorticoid-Induced Femoral Head Osteonecrosis: A Network Pharmacology and Experimental Study by Zhengjie Zhu, Yujian Zhong, Ruyuan He, Changheng Zhong, Junwen Chen, Hao Peng

“…Protein–protein interaction networks, along with Gene Ontology and KEGG pathway analyses, were conducted to clarify salvigenin’s multi-target mechanisms. …”
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An Adaptive Neural Network Fuzzy Sliding Mode Controller for Tracking Control of Deep-Sea Mining Vehicles by Shidong Wang, Zida Shan, Jialuan Xiao, Junjun Cao, He Zhang, Nan Sun

“…The algorithm, named the Adaptive Radial Basis Function Neural Network Fuzzy Sliding Mode Controller (ARFSMC), replaces modeled vehicle dynamics with a radial basis function neural network (RBFNN). …”
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BCDCNN: breast cancer deep convolutional neural network for breast cancer detection using MRI images by D. E. Martina Jaincy, V. Pattabiraman

“…Thereafter, cancer area segmentation is conducted on filtered images by Pyramid Scene Parsing Network (PSPNet). …”
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A robust tuned EfficientNet-B2 using dynamic learning for predicting different grades of brain cancer by A. A. Abd El-Aziz, Mohammed Elmogy, Sameh Abd El-Ghany

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Semantic consistency enhancement and contribution-driven network for partial multi-view incomplete multi-label classification by Yishan Jiang, Lian Zhao, Zhixian Jiang, Yinghao Ye, Xiaohuan Lu

“…To tackle this problem, we propose a semantic consistency enhancement and contribution-driven network(SCECD-Net). Different from the existing works, we focus on the quality differences between views, dynamically adjusting the mutual information learning process by quantifying view quality to reduce the model’s reliance on noisy information and more effectively capture view consistency. …”
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Integrated network pharmacology, molecular docking and experimental validation to investigate the mechanism of tannic acid in nasopharyngeal cancer by Meiwei Wang, Longmei He, Pan Yan

“…Subsequently, protein-protein interaction (PPI) network analysis, Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes Genomes (KEGG) pathway enrichment analysis, molecular docking and molecular dynamics (MD) simulation were conducted to uncover the potential mechanisms of TA in treatment of NPC. …”
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Hull form optimization of fully parameterized small ships using characteristic curves and deep neural networks by Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo

“…Numerical analyses using Computational Fluid Dynamics (CFD) were employed to assess the performance of the hull form. …”
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Optimizing security and energy efficiency in IoT-Based health monitoring systems for wireless body area networks by Mohammed Naif Alatawi

“…Abstract Wireless Body Area Networks (WBANs) play a critical role in real-time healthcare monitoring by enabling continuous data collection from body-worn sensors. …”
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A cross-lagged network analysis of multisystemic factors influencing adolescent depressive symptoms: considering gender differences by Qiu Li, Xue-Ying Liu, Wei-Liang Wang, Fang Zhou

“…Methods A cross-lagged network analysis was conducted using longitudinal data from 770 adolescents recruited from two middle schools in northern China. …”
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Prediction and reliability analysis of rigid pipeline response in soft soil using improved particle swarm neural network by Laifu Song, Shun Zhang, Jun Wang, Hongtao Fu, Jiayu Cai

“…Finally, using the prediction model, a reliability analysis is conducted on the dynamic response of rigid pipelines in soft soil under traffic loads. …”
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