Resting state brain network segregation is associated with walking speed and working memory in older adults by Sumire D. Sato, Valay A. Shah, Tyler Fettrow, Kristina G. Hall, Grant D. Tays, Erta Cenko, Arkaprava Roy, David J. Clark, Daniel P. Ferris, Chris J. Hass, Todd M. Manini, Rachael D. Seidler

“…The interaction of left sensorimotor network segregation and age groups was associated with higher working memory function. …”
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A VAN-Based Multi-Scale Cross-Attention Mechanism for Skin Lesion Segmentation Network by Shuang Liu, Zeng Zhuang, Yanfeng Zheng, Simon Kolmanic

“…Although many neural networks based on U-shaped structures and methods, such as skip connections have achieved excellent results in medical image segmentation tasks, the properties of convolutional operations limit their ability to effectively learn local and global features. …”
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Silk Sericin Semi-interpenetrating Network Hydrogels Based on PEG-Diacrylate for Wound Healing Treatment by Patchara Punyamoonwongsa, Supattra Klayya, Warayuth Sajomsang, Chanikarn Kunyanee, Sasitorn Aueviriyavit

“…This was due to the tightened network structure formed within the hydrogel matrices. …”
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Evaluating Network Performance in a Web-Based Augmented Reality System for Lipmatte Color Recommendation by Zulfikri Paidi, Nurhanna Md Abd Wahid, Nurzaid Muhd Zain, Mahfudzah Othman

“…The system's performance focuses on delivering precise AR overlays for virtual try-ons, emphasizing low latency and seamless interaction across varied network environments. Network performance was analyzed in two scenarios: client-to-server data transfer and resource loading. …”
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Identification of Spambots and Fake Followers on Social Network via Interpretable AI-Based Machine Learning by Danish Javed, Noor Zaman Zaman, Navid Ali Khan, Sayan Kumar Ray, Arafat Al-Dhaqm, Victor R. Kebande

“…Social networking platforms like X (Twitter) serve as hubs for open human interaction, but they are also increasingly infiltrated by automated accounts masquerading as human users. …”
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Unraveling DINCH – Induced hepatotoxicity mechanisms via network toxicology and molecular docking with experimental validation by Jingxin Xin, Changxu Zhou, Ying Wang, Huiqi Chen, Keling Yin, Ling Gao, Shanshan Shao

“…In addition, molecular docking technology and dynamics simulation were used to simulate the interaction and binding ability between DINCH and the core target. …”
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Network pharmacology and experimental study of Angelica sinensis and Astragalus membranaceus capsules in treating heart failure by Xue Wu, Ai Liu, Xinfang Lv, Xiaodong Zhi, Xiangting Zeng, Kai Liu, Xinke Zhao, Bing Jiang, HuGang Jiang, Yingdong Li

“…Methods: The “active component-target” network and the “drug-disease target” protein interaction network were constructed using Cytoscape 3.9.0 and STRING Database. …”
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Research on integrated fusion technology of multi-source heterogeneous hybrid information based on Mesh network by ZHANG Weiren, HUANG Xuxing

“…According to the practical task of data construction and development, and the characteristics of data integration and application for “wide area multi-ability warfare”, a scheme of wireless intelligent transmission for large data in combat is proposed based on Mesh network technology, real-time transmission of various types of combat data to remote data processing platforms for visual operations and intelligent data storage and analysis, to provide command organizations at all levels, interactive and controllable “science and technology +”“network +” data integration using a new model.…”
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Emotion classification with multi‐modal physiological signals using multi‐attention‐based neural network by Chengsheng Zou, Zhen Deng, Bingwei He, Maosong Yan, Jie Wu, Zhaoju Zhu

“…Abstract The ability to effectively classify human emotion states is critically important for human‐computer or human‐robot interactions. …”
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Object-based feedback attention in convolutional neural networks improves tumour detection in digital pathology by Andrew Broad, Alexander Wright, Clare McGenity, Darren Treanor, Marc de Kamps

“…We demonstrate that at the end of the saccade sequence the system has an improved classification ability compared to the convolutional neural network (CNN) that represents the feedforward part of the model. …”
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Host‐Specificity and Network Structure of Tick Microbiota in Co‐Distributed Species From the Iberian Peninsula by Víctor Noguerales, José de laFuente, Sandra Díaz‐Sánchez

“…While all tick species exhibited a shared core microbiota, notable differences in microbial composition and network interactions suggest that each species may be influenced by ecological and evolutionary factors that shape their microbiota. …”
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Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT) by Namwoo Kim, Yoonjin Yoon

“…Methods: We propose a novel urban region representation model called the Heterogeneous Urban Graph Attention Network (HUGAT). HUGAT utilizes an urban-Heterogeneous Information Network (Urban-HIN) to model diverse relations among multiple urban node and edge types. …”
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Educational multimedia design principles affect local and global information processing in functional brain networks by Mohammadhossein Ostadi, Masoumeh Golmohamadian, Alireza Bosaghzadeh, S. Hamid Amiri, Reza Ebrahimpour

“…However, the complex cognitive processes involved in multimedia learning present challenges for understanding its neural mechanisms. This study employs network neuroscience to investigate how multimedia design principles influence the underlying neural mechanisms by examining interactions among various brain regions. …”
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Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction by Shweta Ashish Koparde, Sonali Kothari, Sharad Adsure, Kapil Netaji Vhatkar, Vinod V. Kimbahune

“…The accurate prediction of the host of influenza viruses is a significant challenge in bioinformatics, as it is crucial for understanding viral transmission dynamics and host-virus interactions. This research • Introduces a novel approach for predicting the host of influenza viruses by leveraging protein sequences. • Extraction of features, including sequence length, Amino Acid Composition (AAC), Dipeptide Composition (DPC), Tripeptide Composition (TPC), aromaticity, secondary structure fraction, and entropy from protein sequence. • Addresses the data imbalance and improves model generalization, the oversampling technique is applied for data augmentation.The prediction model employs a Deep Recurrent Neural Network (DRNN) optimized by Fractional Addax Optimization 34 Algorithm (FAOA), a hybrid of Addax Optimization Algorithm (AOA) and Fractional Concept (FC), designed to perform 35 influenza virus host prediction. …”
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Interpersonal Relationship Detection Using Multi-Head Graph Attention Networks With Multi-Feature Fusion by Simge Akay, Duygu Cakir, Nafiz Arica

“…The ability to automatically detect and understand interpersonal relationships from visual data represents a fundamental challenge in computer vision and social signal processing. …”
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Meta-GCANet: Meta-Graph Coupled Aware Network for Cross-Modality Person Re-Identification by Jiale Zhang, Baohua Zhang, Dongyang Wu

“…To address these issues, this paper proposes a novel Meta-Graph Coupled Aware Network (Meta-GCANet) within a meta-learning framework to improve the network’s cross-modality generalization ability. …”
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Synchronization Optimization Model Based on Enhanced Connectivity of New Energy Vehicle Supply Chain Network by Haiwei Gao, Xiaomin Zhu, Binghui Guo, Yifan Cao, Haotian Wang, Xiaohan Yu, Xiaobo Yang

“…The research makes three key contributions: (1) development of a dynamic synchronization model capturing the complex interactions within NEV supply chains; (2) introduction of a quantitative method for assessing synchronization intervals; and (3) identification of critical parameters influencing network synchronization. …”
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Risk Assessment of Hydrogen-Powered Aircraft: An Integrated HAZOP and Fuzzy Dynamic Bayesian Network Framework by Xiangjun Dang, Yongxuan Shao, Haoming Liu, Zhe Yang, Mingwen Zhong, Huimin Zhao, Wu Deng

“…Expert knowledge is processed using a similarity aggregation method to generate fuzzy probabilities, which are then integrated into the FDBN model to construct a risk factor relationship network. A case study on low-altitude aircraft hydrogen storage systems demonstrates the framework’s ability to (1) visualize time-dependent failure propagation mechanisms through bidirectional probabilistic reasoning, and (2) quantify likelihood distributions of system-level risks triggered by component failures. …”
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Research on new energy power plant network traffic anomaly detection method based on EMD by Danni Liu, Shengda Wang, YutongLi, Ji Du, Jia Li

“…Results The grid deployment of large-scale PV power facilities relies heavily on dependable communication networks. The efficiency of PV power plants and their ability to meet application requirements are both impacted by the communication infrastructures that are responsible for real-time monitoring. …”
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Benefits and drawbacks of videoconferencing for collaborating multidisciplinary teams in regional oncology networks: a scoping review by Kees Ahaus, Lidia S van Huizen, Pieter U Dijkstra, Sjoukje van der Werf, Jan LN Roodenburg

“…In regional oncology networks, multidisciplinary teams (MDTs) are essential in coordinating care in their region. …”
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