Enhancing Energy Efficiency of Sensors and Communication Devices in Opportunistic Networks Through Human Mobility Interaction Prediction by Ambreen Memon, Sardar M. N. Islam, Muhammad Nadeem Ali, Byung-Seo Kim

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Novel EDGE encoding method enhances ability to identify genetic interactions. by Molly A Hall, John Wallace, Anastasia M Lucas, Yuki Bradford, Shefali S Verma, Bertram Müller-Myhsok, Kristin Passero, Jiayan Zhou, John McGuigan, Beibei Jiang, Sarah A Pendergrass, Yanfei Zhang, Peggy Peissig, Murray Brilliant, Patrick Sleiman, Hakon Hakonarson, John B Harley, Krzysztof Kiryluk, Kristel Van Steen, Jason H Moore, Marylyn D Ritchie

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Network archaeology: uncovering ancient networks from present-day interactions. by Saket Navlakha, Carl Kingsford

“…Our ability to answer such questions has been limited by the unavailability of ancestral protein-protein interaction (PPI) networks. …”
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Identifying Missing and Spurious Interactions in Directed Networks by Xue Zhang, Chengli Zhao, Xiaojie Wang, Dongyun Yi

“…Recent years, the studies of link prediction have been overwhelmingly emphasizing on undirected networks. Compared with it, how to identify missing and spurious interactions in directed networks has received less attention and still is not well understood. …”
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Detecting genetic interactions with visible neural networks by Arno van Hilten, Federico Melograna, Bowen Fan, Wiro Niessen, Kristel van Steen, Gennady Roshchupkin

“…Neural networks are state-of-the-art predictors in many domains due to their ability to analyze big data and model complex patterns, including non-linear interactions. …”
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Does Intercity Transportation Accessibility Matter? Its Effects on Regional Network Centrality in South Korea by Sangwan Lee, Jeongbae Jeon, Kuk Cho, Junhyuck Im

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Psychological Stress Identification and Evaluation Method Based on Mobile Human-Computer Interaction Equipment by Na Zhang

“…Through the BP of mobile human-computer interaction equipment, hereditary, genetic algorithms, and Hi-PLS regression method in the artificial neural network, the psychological pressure of college students is identified, evaluated, and predicted from three dimensions such as learning, life, and personal events. …”
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Enhancing the functional content of eukaryotic protein interaction networks. by Gaurav Pandey, Sonali Arora, Sahil Manocha, Sean Whalen

“…Protein interaction networks are a promising type of data for studying complex biological systems. …”
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Research on mobile stroke unit based on 5G network technology by Yu SHENG, Zhiheng LIU, Liya SHAN, Yi FENG

“…,to connect and achieve healthy interaction with people,equipment,and resources related to health care,which can guarantee people's timely access to preven-tive and therapeutic medical services.The composition design,functional modules,implementation architecture,and innovative service models of 5G mobile stroke units were discussed.The combination of 5G network technology and mobile stroke units were analyzed,and the network requirements of 5G mobile stroke units was analyzed with spe-cific cases.…”
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Incentive mechanism based on auction model for mobile crowd sensing network by Yuanni LIU, Yaoxi LI, Huicong LI, Wanlin LI, Jianhui ZHANG, Guofeng ZHAO

“…The selfishness and uncertainty of user behaviors in the mobile crowd sensing network make them unwilling to participate in sensing activities,which may result to a lower sensing task completion rate.To deal with these problems,an incentive mechanism based on auction model was proposed.In order to maximize the utility of each user,the proposed incentive method based on reverse auction (IMRA) leveraged a task-centric method to choose winners,and payed them according to a critical-price strategy.Furthermore,the proposed user-bidirectional interaction incentive mechanism (UBIM) helped drop-out users (buyers) to transfer their unfinished tasks to new users.Simulation results show that,compared with TRAC and IMC-SS,IMRA can achieve a better performance in terms of average user utility and tasks coverage ratio,and the task completion ratio can also be improved by UBIM.…”
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An evolution model for the mobility of urban societal classes based on complex networks by Yi-Hua Zhou, Liang-Li Yang, Jieqi Lei, Rui-Jie Wu, Yi-Xiu Kong

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A Cross-Mamba Interaction Network for UAV-to-Satallite Geolocalization by Lingyun Tian, Qiang Shen, Yang Gao, Simiao Wang, Yunan Liu, Zilong Deng

“…Inspired by state-space models (SSMs), which have demonstrated efficacy in modeling long sequences, we propose a pure Mamba-based method called the Cross-Mamba Interaction Network (CMIN) for UAV geolocalization. …”
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The impact of geographic, mobility and social media ties on massive-scale regional public emotional interaction by Jia Xu, Liangdong Lu, Jiuchang Wei

“…Notably, the easing of pandemic restrictions corresponded with a surge in positive emotional interactions in geographic and mobility ties. These findings underscore the role of physical and digital social networks, spanning geographic, mobility, and social media ties, in shaping public emotional interactions throughout different pandemic stages. …”
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Network analysis of interactions of rumination and anxiety on smartphone dependence symptoms by Sen sen Zhang, Sen sen Zhang, Shao hong Yong, Shao hong Yong, Jia tai Chen

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CONCERNING THE NETWORKING INTERACTION EXPERIENCE OF TEACHERS AND STUDENTS OF PEDAGOGICAL UNIVERSITY by E. A. Dmitrieva

“…The process of teachers’ training inYaroslavl, in particular preparation of students-biologists at theYaroslavlStatePedagogicalUniversityis reflected. Activity of network pedagogical community of Yaroslavl is considered as a platform for network interaction; the analysis of such platform, use of its resources, and also conversations with subject teachers and students have shown that the given electronic and communication resources cause a great interest for practicing teachers and future experts, however, they not always possess necessary knowledge and abilities concerning its operation.Scientific novelty. …”
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Dysbiosis associated with enhanced microbial mobility across the respiratory tract in pulmonary tuberculosis patients by Mingyang Qin, Weimin Ding, Lin Qin, Ruobing Liang, Yang Guo, Ying Zhao, Huifang Xu, Yanhua Wen, Yu Pang, Liang Li

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UAV With the Ability to Control with Sign Language and Hand by Image Processing by Hediyeh Hojaji, Alireza Delisnav, Mohammad Hossein Ghafouri Moghaddam, Fariba Ghorbani, Shadi Shafaghi, Masoud Shafaghi

“…This setup enabled precise hand and body detection, allowing the drone to navigate and interact effectively. We assessed the system's performance by its ability to accurately recognize gestures in both controlled and complex, cluttered backgrounds. …”
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Dimensional reduction of an SIS epidemic network model with saturated treatment and human mobility by Si Li, Tingting Fu, Rong Yuan, Yongzheng Sun, Maoxing Liu

“…Globalization and intensified socioeconomic activities have led to complex interconnected social networks that enhance global interactions while also increasing the risks of transmitting infectious diseases. …”
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Mobile target localization based on iterative tracing for underwater wireless sensor networks by Ruolin Guo, Danyang Qin, Min Zhao, Guangchao Xu

“…Aiming at the problem of the stratification effect of underwater acoustic waves, the long propagation delay of messages, as well as the mobility of sensor nodes, a mobile target localization scheme for underwater wireless sensor network is proposed based on iterative tracing. …”
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An Probability-Based Energy Model on Cache Coherence Protocol with Mobile Sensor Network by Jihe Wang, Bing Guo, Meikang Qiu

“…Mobile sensor networks (MSNs) are widely used in various domains to monitor, record, compute, and interact the information within an environment. …”
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