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2,931 results on '"Wang, Xiaowen"'

2. A Survey of Datasets for Information Diffusion Tasks

Author

Guo, Fuxia, Wang, Xiaowen, Xie, Yanwei, Wang, Zehao, Li, Jingqiu, and Wang, Lanjun

Subjects
Computer Science - Social and Information Networks, Computer Science - Information Retrieval
Abstract

Information diffusion across various new media platforms gradually influences perceptions, decisions, and social behaviors of individual users. In communication studies, the famous Five W's of Communication model (5W Model) has displayed the process of information diffusion clearly. At present, although plenty of studies and corresponding datasets about information diffusion have emerged, a systematic categorization of tasks and an integration of datasets are still lacking. To address this gap, we survey a systematic taxonomy of information diffusion tasks and datasets based on the "5W Model" framework. We first categorize the information diffusion tasks into ten subtasks with definitions and datasets analysis, from three main tasks of information diffusion prediction, social bot detection, and misinformation detection. We also collect the publicly available dataset repository of information diffusion tasks with the available links and compare them based on six attributes affiliated to users and content: user information, social network, bot label, propagation content, propagation network, and veracity label. In addition, we discuss the limitations and future directions of current datasets and research topics to advance the future development of information diffusion. The dataset repository can be accessed at our website https://github.com/fuxiaG/Information-Diffusion-Datasets.

Published
2024

4. Effects of reactive diluent on processing, structure, and properties of epoxy foams and their sandwich composites

Author

Wang, Daobei, Wang, Xiaowen, Han, Kaiyang, Wang, Dongzhi, Yao, Zhiqiang, Yu, Mingdong, Zhao, Dajuan, and Liu, Huashi

Subjects
Infrared spectroscopy -- Mechanical properties, Epoxy resins -- Mechanical properties, Engineering and manufacturing industries, Science and technology
Abstract

Foam sandwich composite (FSC) has recently been widely used in transportation, aerospace, shipping, and construction because of its lightweight, high specific strength, stiffness, and fatigue resistance characteristics. This study aimed to prepare, characterize, and test FSC with different diluent addition amounts. Benzyl glycidyl ester was added to the epoxy foam (EF) as a reactive diluent. Then, the EF was introduced into the three-dimensional hollow composite (3DHC) by vacuum introduction process to prepare the FSC. Fourier transform infrared spectroscopy and thermogravimetric analysis demonstrated that increased diluent content enhanced Si--N bond formation, augmenting thermal stability in resin molecules. The effects of different diluents on the mechanical properties of FSC showed that the mechanical properties of FSC were the best when the diluent content was 5 wt%. Compared with 3DHC, the flat compressive strength, flat tensile strength, and shear strength were increased by 7.2, 6.4, and 2.9 times, respectively. Highlights * Diluent improves foaming agent dispersion by lowering resin viscosity. * Diluent makes the EP easier to be introduced into 3DHC. * FSC demonstrates a 723% increase in flat compression strength. KEYWORDS diluent, epoxy foam, fracture, mechanical properties, sandwich composites, 1 | INTRODUCTION Foam sandwich composite (FSC) materials, due to their excellent characteristics of lightweight, high specific strength, high specific stiffness, and fatigue resistance, are widely used in fields such [...]

Published
2024
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8. MCDAN: a Multi-scale Context-enhanced Dynamic Attention Network for Diffusion Prediction

Author

Wang, Xiaowen, Wang, Lanjun, Su, Yuting, Zhang, Yongdong, and Liu, An-An

Subjects
Computer Science - Social and Information Networks
Abstract

Information diffusion prediction aims at predicting the target users in the information diffusion path on social networks. Prior works mainly focus on the observed structure or sequence of cascades, trying to predict to whom this cascade will be infected passively. In this study, we argue that user intent understanding is also a key part of information diffusion prediction. We thereby propose a novel Multi-scale Context-enhanced Dynamic Attention Network (MCDAN) to predict which user will most likely join the observed current cascades. Specifically, to consider the global interactive relationship among users, we take full advantage of user friendships and global cascading relationships, which are extracted from the social network and historical cascades, respectively. To refine the model's ability to understand the user's preference for the current cascade, we propose a multi-scale sequential hypergraph attention module to capture the dynamic preference of users at different time scales. Moreover, we design a contextual attention enhancement module to strengthen the interaction of user representations within the current cascade. Finally, to engage the user's own susceptibility, we construct a susceptibility label for each user based on user susceptibility analysis and use the rank of this label for auxiliary prediction. We conduct experiments over four widely used datasets and show that MCDAN significantly overperforms the state-of-the-art models. The average improvements are up to 10.61% in terms of Hits@100 and 9.71% in terms of MAP@100, respectively.

Published
2023

10. Inherited CARD9 Deficiency Due to a Founder Effect in East Asia

Author

Tomomasa, Dan, Lee, Beom Hee, Hirata, Yuki, Inoue, Yuzaburo, Majima, Hidetaka, Imanaka, Yusuke, Asano, Takaki, Katakami, Takashi, Lee, Jina, Hijikata, Atsushi, Worakitchanon, Wittawin, Yang, Xi, Wang, Xiaowen, Watanabe, Akira, Kamei, Katsuhiko, Kageyama, Yasufumi, Seo, Go Hun, Fujimoto, Akihiro, Casanova, Jean-Laurent, Puel, Anne, Morio, Tomohiro, Okada, Satoshi, and Kanegane, Hirokazu

Published
2024
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15. A Modified Critical State Model and Its Application in Haikou Red Clay

Author

Wang, Xiaowen, Wu, Bohan, Cui, Kai, Yuan, Ran, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Hazarika, Hemanta, editor, Haigh, Stuart Kenneth, editor, Chaudhary, Babloo, editor, Murai, Masanori, editor, and Manandhar, Suman, editor

Published
2024
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16. BGET: A Blockchain-Based Grouping-EigenTrust Reputation Management Approach for P2P Networks

Author

Peng, Yang, Huang, Jie, Zhou, Sirui, Ju, Zixuan, Wang, Xiaowen, Li, Peihao, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Gao, Honghao, editor, Wang, Xinheng, editor, and Voros, Nikolaos, editor

Published
2024
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34. The effect of residential greenness on cardiovascular mortality from a large cohort in South China: An in-depth analysis of effect modification by multiple demographic and lifestyle characteristics

Author

Wang, Xiaowen, Zhang, Yuqin, Tarik, Benmarhnia, Zhang, Kai, Lin, Shao, Deng, Xinlei, Gu, Haogao, Wu, Wenjing, Lin, Xiao, Du, Zhicheng, Wang, Ying, Qu, Yanji, Lin, Ziqiang, Zhang, Man, Sun, Yongqing, Dong, Guang-hui, Wei, Yongyue, Zhang, Wangjian, and Hao, Yuantao

Published
2024
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43. Experimental and theoretical study on the natural circulation characteristics of humid air in the fuel assembly of a full-scale pressurized water reactor

Author

LI Leilei, LIU Maolong, NI Song, WANG Xiaowen, LIU Limin, and GU Hanyang

Subjects
spent fuel pool, fuel assembly, humid air, natural circulation flow rate model, peak cladding temperature model, Nuclear engineering. Atomic power, TK9001-9401
Abstract

BackgroundNatural circulation systems are widely used in the nuclear industry for decay heat removal, post-accident containment cooling, and the cooling of radioactive waste storage facilities. Because a large number of spent fuel assemblies are densely arranged in the spent fuel pool, the spent fuel assemblies in the central area of the spent fuel pool can be approximated as having adiabatic boundary conditions. In the event of a coolant loss accident, the heat generated by the spent fuel assemblies can be exported only by the natural circulation of air.PurposeThis study aims to develop analytical models for fuel assembly natural circulation characteristics independent of the results of computational fluid dynamics (CFD) to investigate the natural circulation characteristics of spent fuel pools following a coolant loss accident.MethodsBased on the experimental results of a fuel assembly pressure drop of a full-scale pressurized water reactor (PWR), the Darcy–Forchheimer model was firstly revised to predict the pressure drop of humid air flowing through the fuel assembly. Models for the fuel assembly natural circulation flow rate and peak cladding temperature were then established, and the effects of the relative humidity of air on the models were considered. Finally, these models were applied to investigating effects of total heating power, ambient temperature, and relative humidity on the natural circulation flow rate and peak cladding temperature of the fuel assembly.ResultsThe results show that the models accurately predict the natural circulation flow rate and peak cladding temperature of the fuel assembly under different heating powers, and the errors are less than 25% and 20%, respectively, as compared with the experimental measurement values.ConclusionsThe developed models in this study can be used to study the natural circulation characteristics of full-scale PWR fuel assemblies.

Published
2024
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