Research on energy management strategies for high-power diesel-electric hybrid tractors based on double deep Q-network by Yiwei Wu, Yifan Zhao, Changkai Wen, Junjiang Zhang, Xianghai Yan

“…With engine power as the agent’s control action, drive motor power and battery SOC as state variables, and tractor equivalent fuel consumption and battery SOC as the reward function, an energy management strategy based on deep reinforcement learning was designed using the double deep Q-network (DDQN) algorithm. Finally, a hardware-in-the-loop (HIL) testing platform was set up to conduct HIL tests on the designed tractor model and energy management strategy. …”
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Fusion of Multimodal Spatio-Temporal Features and 3D Deformable Convolution Based on Sign Language Recognition in Sensor Networks by Qian Zhou, Hui Li, Weizhi Meng, Hua Dai, Tianyu Zhou, Guineng Zheng

“…Sign language is a complex and dynamic visual language that requires the coordinated movement of various body parts, such as the hands, arms, and limbs—making it an ideal application domain for sensor networks to capture and interpret human gestures accurately. …”
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Application of artificial neural networks for predicting soil settlement in geotechnical applications with plastic waste reinforcement above buried pipes by Sinan A. Al-Haddad, Hala Adnan Abbas, Luttfi A. Al-Haddad, Mustafa I. Al-Karkhi

“…This paper investigates the impact of recycled plastic bottle utilization on soil settlement above buried pipes under static loads and employs a two-hidden-layer artificial neural network (ANN) model to accurately predict settlement values. …”
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Improved smart city security using a deep maxout network-based intrusion detection system with walrus optimization by Wahid Rajeh, Majed Aborokbah, Manimurugan S., Umar Albalawi, Ahamed Aljuhani, Osama Shibl Abdalghany Younes, Karthikeyan Periyasami

“…Results Training and validation are conducted using the CIC-IDS-2018 dataset, CIC-IDS -2029 dataset and real-time data from Raspberry Pi devices deployed in the smart city’s public transportation network. …”
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Precise identification of medulloblastoma in MRI images using a convolutional neural network integrated with a self-attention mechanism by Chenhao Fang, Chao Li, Huiqing Liu, Qiang Zhou, Shuo Li, Hong Chen, Xianzhen Chen, Zhaoli Shen

“…Other single convolutional neural network models, including MobileNet, Residual Network, Densely Connected Convolutional Network, Visual Geometry Group, and Inception, were also trained. …”
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α-Lipoic acid mitigates age-related macular degeneration via ferroptosis: integrative multi-omics and network pharmacology by Yaqiong Zhang, Yaqiong Zhang, Yuanyuan Chen, Chenglin Sun, Fang Li, Yin Shen, Yin Shen

“…Core genes were identified through interaction network construction, functional enrichment analysis, and machine learning-based screening. …”
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Constructing an Ecological Spatial Network Optimization Framework from the Pattern–Process–Function Perspective: A Case Study in Wuhan by An Tong, Yan Zhou, Tao Chen, Zihan Qu

“…Under the continuous disturbance of ecosystems driven by urbanization, landscape fragmentation and the disruption of ecological processes and functions are key challenges in optimizing ecological networks (EN). This study aims to examine the spatiotemporal evolution of topological patterns, ecological processes, and ecosystem services (ES) in Wuhan from the “pattern–process–function” perspective. …”
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Surgical Management of Thumb Carpometacarpal Osteoarthritis: A Systematic Review, Network Meta-analysis, and Longitudinal Analysis of Surgical Complications by Annora Ai-Wei Kumar, BBioMedSc, Matthew Lawson-Smith, MBBCh BAO

“…The outcomes of interest were long-term pain reduction (visual analog scale), complications, and functional improvement (Disabilities of Arm, Shoulder and Hand questionnaire). Bayesian network meta-analyses were conducted, and longitudinal analysis of complication severity was performed using the Kruskal-Wallis H test. …”
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Social Relations and Interpersonal Dialogue among Couples: A Study in the City of Yazd Based on the Grounded Theory by Lida Hatefi rad, Mehraban Parsamehr, Ali Ruhani

“…As per Michel's definition, a social network comprises unique connections among a specific group of individuals. …”
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Adaptive Extended Kalman Prediction-Based SDN-FANET Segmented Hybrid Routing Scheme by Ke Sun, Mingyong Liu, Chuan Yin, Qian Wang

“…Recently, with the advantages of easy deployment, flexibility, diverse functions, and low cost, flying ad hoc network (FANET) has captured great attention for its huge potential in military and civilian applications, whereas the high-speed movement and limited node energy of unmanned aerial vehicles (UAVs) leads to high dynamic topology and high packet loss rate in FANET. …”
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Performance Prediction of the Gearbox Elastic Support Structure Based on Multi-Task Learning by Chengshun Zhu, Zhizhou Lu, Jie Qi, Meng Xiang, Shilong Yuan, Hui Zhang

“…However, conventional neural networks are usually optimized for a single task, failing to fully account for task differences and shared information. …”
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Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study by Jie Han, Yuanjing Gao, Ling Huo, Dong Wang, Xiaozheng Xie, Rui Zhang, Mengsu Xiao, Nan Zhang, Meng Lei, Quanlin Wu, Lu Ma, Chao Sun, Xinyi Wang, Lei Liu, Shuzhen Cheng, Binghui Tang, Liwei Wang, Qingli Zhu, Yong Wang

“…We compared the diagnostic performance of WAUVE with static 2D-ResNet50 and dynamic TimeSformer models in the internal validation set. …”
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Roles and Dynamics within Community Mental Health Systems During the COVID-19 Pandemic: A Qualitative Systematic Review and Meta-Ethnography by Cheryl Su Ling Sim, PV Asharani, Mythily Subramaniam, Huso Yi

“…Globally, COVID-19 had an immense impact on mental health systems, but research on how community mental health (CMH) systems and services contributed to the pandemic mental health response is limited. We conducted a systematic review and meta-ethnography to understand the roles of CMH services, determinants of the quality of CMH care, and dynamics within CMH systems during COVID-19. …”
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Exploration of the molecular mechanism of melatonin against polycystic ovary syndrome based on a network pharmacology approach and experimental validation by Ran Cheng, Ran Cheng, Ran Cheng, Ying Zhu, Sheng-kai Wang, Chun-Xiao Zong, Hong-Li Zhao, Hong-Li Zhao, Hong-Li Zhao, Qin Zhang, Qin Zhang, Qin Zhang

“…This study integrated network pharmacology, molecular docking, molecular dynamics simulations, and laboratory confirmation to explore the pharmacological mechanisms of melatonin in PCOS.MethodsFirst, we conducted animal studies to evaluate the therapeutic efficacy of melatonin by administering it to circadian disruption-induced PCOS-like rats. …”
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PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

“…Accurately predicting the spatio-temporal evolution trends and long-term dynamics of three-dimensional ocean temperature and salinity plays a crucial role in monitoring climate system changes and conducting fundamental oceanographic research. …”
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An Integrative Approach to Computational Modelling of the Gene Regulatory Network Controlling Clostridium botulinum Type A1 Toxin Production. by Adaoha E C Ihekwaba, Ivan Mura, John Walshaw, Michael W Peck, Gary C Barker

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Analysing LULC transformations using remote sensing data: insights from a multilayer perceptron neural network approach by Khadim Hussain, Kaleem Mehmood, Sun Yujun, Tariq Badshah, Shoaib Ahmad Anees, Fahad Shahzad, Nooruddin, Jamshid Ali, Muhammad Bilal

“…The study examines the complex dynamics of changes in LULC over three decades, focused on the years 1992, 2002, 2012, and 2022. …”
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Young people in social networks: scaling social interactions and practices of forming individual media environments (based on regional studies) by Dmitrii V. Zernov, Nadezhda V. Shalyutina

“…Objective factors influencing young people’s choice of digital space are described through analysing the dynamics of social network popularity. It is concluded that the trend towards privacy of social interactions in the digital space is increasing. …”
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GRLGRN: graph representation-based learning to infer gene regulatory networks from single-cell RNA-seq data by Kai Wang, Yulong Li, Fei Liu, Xiaoli Luan, Xinglong Wang, Jingwen Zhou

“…The interpretation discussion and the network visualization were conducted. Conclusions The experimental results and case studies illustrate the considerable performance of GRLGRN in predicting gene interactions and provide interpretability for the prediction tasks, such as identifying hub genes in the network and uncovering implicit links.…”
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Use of a pathogen X tabletop exercise to assess the operational response preparedness of an emerging infectious diseases research network by Rachael Lee, Jennifer Hemingway-Foday, Nefer Batsuli, L. Danielle Wagner, Aaron Macoubray, Robert F. Garry, Christine K. Johnson, Kathryn A. Hanley, Nikos Vasilakis, Souleymane Mboup, Hongying Li, Cecilia A. Sánchez, Peter M. Rabinowitz, Robert F. Breiman, Nathan Vandergrift, Eric J. Earley, Hilary Bouton-Verville, E. Candice Beaubien, E. Megan Davidson, Gretchen Van Vliet, Sara Woodson, M. Anthony Moody, Gregory D. Sempowski, Richard Reithinger

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