Network algebraization and port relationship for power‐electronic‐dominated power systems by Rui Ma, Xiaowen Yang, Meng Zhan

“…With this simple model, the roles of both nodes and network become apparent, and it enhances the understanding of the PEDPS dynamics. …”
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Strategic scaling initiatives and client networking dynamics for small and medium-sized enterprises growth: a comprehensive case study analysis by Ioannis Christodoulou, Satrio Utomo Putranto, Moustafa Haj Youssef, Aspasia Simillidou, Jana Chovancová

“…Theoretical insights contribute to scholarly discourse on SME growth strategies, network dynamics, CRM application and organizational strategies, enriching understanding of SMEs' journey in scaling up and client networking. …”
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Exploring the mechanisms and targets of proton pump inhibitors-induced osteoporosis through network toxicology, molecular docking, and molecular dynamics simulations by Yaqi Mu, Yaqi Zhou, Xinan Zhang, Yiming Shao

“…This study aimed to explore the molecular mechanisms and key genes of PPIs-induced osteoporosis using network toxicology, molecular docking, and molecular dynamics simulations.MethodsWe identified common targets of four widely used PPIs (omeprazole, lansoprazole, pantoprazole, and rabeprazole) and osteoporosis by screening large-scale biological databases. …”
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Acupuncture Alters Brain’s Dynamic Functional Network Connectivity in Stroke Patients with Motor Dysfunction: A Randomised Controlled Neuroimaging Trial by Yahui Wang, Mengxin Lu, Ruoyi Liu, Liping Wang, Yue Wang, Lingling Xu, Kang Wu, Chen Chen, Tianzhu Chen, Xinyue Shi, Kuangshi Li, Yihuai Zou

“…Neuroimaging studies have confirmed that acupuncture can promote static functional reorganization in poststroke patients with motor dysfunction. But its effect on dynamic brain networks remains unclear. This study is aimed at investigating how acupuncture affected the brain’s dynamic functional network connectivity (dFNC) after ischemic stroke. …”
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Working Characteristics of the Scroll Expander for Residual Pressure Recovery in Microscale Gas Pipeline Networks by Yanqin Mao, Liang Cai, Roman Chertovskih, Jiahong Ji, Shen Su

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Adaptive Deeping Siamese Residual Network: A Novel Model for Few-Shot Bearing Fault Diagnosis by Yonghua Jiang, Maoli Lu, Zhilin Dong, Zhichao Jiang, Weidong Jiao, Chao Tang, Jianfeng Sun, Zhongyi Xuan

“…To address the issue of poor performance in few-shot bearing fault diagnosis, a novel Adaptive Deep Siamese Residual Network (ADSRN) is proposed in this study. Frequency-domain information is extracted using the Fourier Transform, and training samples are randomly paired according to the matching criteria defined by the Siamese network to augment the dataset. …”
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Advancements of carbon nanomaterials-modified asphalt: Processes, properties, economic feasibility and future perspectives by Sherif Araby, Ayman Abdulhamid, Umut Bakhbergen, Jong Kim, El-Sayed Abd-Elaal

“…Hot mix asphalt is the cornerstone of road design serving the basis of road networks in the transportation infrastructure of a country. …”
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Identifying urban spatial clusters via flow dynamics: a coupled tensor-based method by Zilong Zhao, Zihan Kan, Mei-Po Kwan, Luliang Tang

“…Based on the decomposed spatiotemporal factors, we analyze the dynamic characteristics of geographic units and utilize hierarchical clustering to identify urban spatial clusters. …”
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Path Planning of Mobile Robot in Dynamic Obstacle Avoidance Environment Based on Deep Reinforcement Learning by Qingfeng Zhang, Wenpeng Ma, Qingchun Zheng, Xiaofan Zhai, Wenqian Zhang, Tianchang Zhang, Shuo Wang

“…And the Actor-Critic network was optimized by employing a LSTM-based neural network to enhance the performance of avoiding dynamic obstacles. …”
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Transcending Fixed Infrastructure: Leveraging Mobile RSUs for Dynamic Collective Perception Services in VANETs by Thenuka Karunathilake, Anna Forster

“…This increase is likely to result in more accidents and greater financial costs due to traffic congestion. Vehicular Ad Hoc Networks (VANETs) offer a promising solution to address these issues by facilitating information exchange, thereby enhancing situational awareness. …”
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Dynamic and interpretable deep learning model for predicting respiratory failure following cardiac surgery by Man Xu, Hao Liu, Anran Dai, Qilian Tan, Xinlong Zhang, Rui Ding, Chen Chen, Jianjun Zou, Yongjun Li, Yanna Si

“…This study aimed to develop and validate a dynamic, machine learning–based model to enhance perioperative risk stratification for CS-PRF. …”
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A Contrastive-Augmented Memory Network for Anti-UAV Tracking in TIR Videos by Ziming Wang, Yuxin Hu, Jianwei Yang, Guangyao Zhou, Fangjian Liu, Yuhan Liu

“…Moreover, to avoid model degradation, an adaptive dynamic memory module (ADM) is proposed to maintain a dynamic template to cope with the feature variation of the target in long sequences. …”
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Decoding the therapeutic mechanism of Conocarpus lancifolius in hepatocellular carcinoma: network pharmacology, molecular docking, and LC-MS QTOF insights by Poojaben M. Prajapati, Saumya K. Patel, Rakesh M. Rawal, Komal G. Lakhani, Komal G. Lakhani, Rasmieh Hamid, Bharat B. Maitreya

“…The study also sought to elucidate the multi-layered mechanism of action against hepatocellular carcinoma using network pharmacology analysis, molecular docking, and molecular dynamics simulation. …”
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Epidemiological dynamics and molecular characterization of HIV drug resistance in eastern China from 2020 to 2023 by Min Zhu, Zhou Sun, Xingliang Zhang, Wenjie Luo, Sisheng Wu, Ling Ye, Ke Xu, Junfang Chen

“…This study aims to investigate the epidemiological dynamics and molecular characterization of HIV pretreatment drug resistance (PDR) and acquired drug resistance (ADR) in Hangzhou, a developed region in China.MethodsAn epidemiological survey combined with a molecular transmission network and Bayesian analysis was conducted. …”
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Research on Voltage Prediction Using LSTM Neural Networks and Dynamic Voltage Restorers Based on Novel Sliding Mode Variable Structure Control by Jian Xue, Jingran Ma, Xingyi Ma, Lei Zhang, Jing Bai

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A transfer learning-based graph convolutional network for dynamic security assessment considering loss of synchronism of wind turbines and unknown faults by Sasan Azad, Mohammad Taghi Ameli, Amjad Anvari-Moghaddam, Miadreza Shafie-khah

“…This approach eliminates the need for a large number of labeled examples for new faults and ensures efficient transfer of the model to new faults with a small database. Case studies are conducted on a modified IEEE 39-bus system to investigate the impact of power electronics-based units' penetration on dynamic security and the model's ability to transfer knowledge for unknown faults. …”
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Multi-omics network toxicology reveals the role of benzo[a]pyrene in ovarian cancer: Integrating gut microbiota dynamics and Mendelian randomization by Jinfa Huang, Qian Yang, Lingling Zeng, Kaixian Deng

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Clarifying therapeutic mechanisms of guanxinshutong capsule for cardiac fibrosis treatment by network pharmacology, molecular docking, molecular dynamics simulation, and in vivo ex... by Qixiang Li, Chongyu Shao, Yuanfeng Liu, Li Yu, Jiehong Yang, Haoran Hu, Jia Pu, Jin Han, Haitong Wan

“…To filter core targets, a PPI network was set up. Metascape was utilized to conduct enrichment analysis for the KEGG and GO pathways. …”
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Accelerating the Discovery of Steady‐States of Planetary Interior Dynamics With Machine Learning by Siddhant Agarwal, Nicola Tosi, Christian Hüttig, David S. Greenberg, Ali Can Bekar

“…We train a feedforward neural network on 97 simulations to predict steady‐state temperature profiles. …”
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Bidirectional dynamic frame prediction network for total-body [68Ga]Ga-PSMA-11 and [68Ga]Ga-FAPI-04 PET images by Qianyi Yang, Wenbo Li, Zhenxing Huang, Zixiang Chen, Wenjie Zhao, Yunlong Gao, Xinlan Yang, Yongfeng Yang, Hairong Zheng, Dong Liang, Jianjun Liu, Ruohua Chen, Zhanli Hu

“…Conclusion In this work, we propose a bidirectional dynamic frame prediction network for total-body 68Ga-PSMA and 68Ga-FAPI PET imaging with a reduced scan duration. …”
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