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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

18. Isolation, Purification, Identification and Binding Site Analysis of Walnut Glutelin Peptides and Their Zinc Chelates

Author

MEI Jie, LI Fang, WANG Xiaowen, MA Hui, QIU Xiaorou, LIU Siyue, KONG Lingming

Subjects
walnut glutelin peptides, zinc-chelating peptides, structural characterization, separation and purification, binding sites, Food processing and manufacture, TP368-456
Abstract

In order to improve the added value of walnut, walnut glutelin peptides (WGPs), which were prepared from walnut meal, were chelated with zinc ions. The zinc chelating characteristics of WGPs were characterized by scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy and X-ray diffraction (XRD) spectroscopy. The peptides were screened for zinc binding capacity by ultrafiltration, gel column chromatography and liquid chromatography-tandem mass spectrometry (LC-MS/MS), and the specific binding sites and binding capacity of the peptides were explored by molecular docking. The results showed that WGPs could chelate with zinc ions, leading to significant alterations in the surface microstructure and crystallinity of the peptides. After ultrafiltration and gel column chromatography, fraction F41, which had the highest chelating capacity of (117.43 ± 1.99) mg/g, was obtained. By LC-MS/MS combined with virtual screening, five potential bioactive peptides without toxicity or allergenic potential were identified. Molecular docking was used to simulate and analyze the binding process. It was found that pentapeptide Phe-Asp-Ala-Asp-Phe (FDADF) could form a structurally stable complex with zinc ions through coordination bonds, hydrogen bonds and hydrophobic interactions. Among the five peptides, the pentapeptide exhibited the lowest binding energy (−7.27 kcal/mol), and the main binding site was the carboxyl oxygen atom (Asp4:O-Zn) of the aspartic acid (Asp) side chain. This study provides a theoretical basis for the development and application of zinc-chelating peptides.

Published
2024
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19. 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

20. 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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25. 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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30. 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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31. 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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40. Relationship Between Cardiac Structure and Function With Renal Function Trajectory and Outcomes in Patients With Heart Failure: Insights From the PARAGON-HF Trial

Author

Lu, Henri, Chatur, Safia, Lee, Sahmin, Inciardi, Riccardo M., Abanda, Martin, Mc Causland, Finnian R., Kalayci, Arzu, Taheri, Kimia Karimi, Shah, Amil M., Cikes, Maja, Claggett, Brian L., Prasad, Narayana, Lam, Carolyn S.P., O’Meara, Eileen, Wang, Xiaowen, McMurray, John J.V., Pfeffer, Marc A., Hegde, Sheila M., Solomon, Scott D., and Skali, Hicham

Published
2024
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50. Impact of Aficamten on Echocardiographic Cardiac Structure and Function in Symptomatic Obstructive Hypertrophic Cardiomyopathy

Author

Hegde, Sheila M., Claggett, Brian L., Wang, Xiaowen, Jering, Karola, Prasad, Narayana, Roshanali, Farideh, Masri, Ahmad, Nassif, Michael E., Barriales-Villa, Roberto, Abraham, Theodore P., Cardim, Nuno, Coats, Caroline J., Kramer, Christopher M., Maron, Martin S., Michels, Michelle, Olivotto, Iacopo, Saberi, Sara, Jacoby, Daniel L., Heitner, Stephen B., Kupfer, Stuart, Meng, Lisa, Wohltman, Amy, Malik, Fady I., and Solomon, Scott D.

Published
2024
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