Your search for: 'author:("Zhang, Xiaoshuang")' has returned 2 results. (0.007s) Save search

Authors: Xu, Yongshun | Liu, Yuan | Zhang, Xiaoshuang

Article Type: Research Article

Abstract: As a communication tool, social networks have become an important part of people’s daily lives. The proliferation of data in the big data era has spurred waves of research. Twitter is one of the most popular sites among all social network platforms. Twitter API allows researchers to easily study user behaviour and influence. In this paper, we use data obtained through the Twitter API to study the influence maximization problem based on the relationship graph of the social network and information dissemination model. In the current independent cascade propagation model, the influence weights between nodes are based largely on the …fixed-value assumption and the randomized probability of acceptance; however, this does not conform to real life. The influence weight between users is closely related to the strength of relationships, content of communication, and so on. Focusing on user relation-ships, we introduce an improved weighted cascade mode combined with a heuristic algorithm to find an approximate solution to the problem of influence maximization. Example analysis indicates that the improved weighted cascade model can obtain a more significant and influential node set compared to conventional methods. Show more

Keywords: Social network, user behaviour, user Influence

DOI: 10.3233/JIFS-179477

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1159-1171, 2020

Authors: Hang, Zhongci | Cai, Shanglin | Lei, Tong | Zhang, Xiaoshuang | Xiao, Zhuangzhuang | Wang, Donghui | Li, Yingxian | Bi, Wangyu | Yang, Yanjie | Deng, Shiwen | Wang, Li | Li, Quanhai | Du, Hongwu

Article Type: Research Article

Abstract: Background: Fecal microbiota transplant (FMT) is a potential treatment approach for many diseases. Alzheimer’s disease (AD) and cancer have been proven to have a specific antagonistic relationship to FMT. Objective: This article aims to explore whether intestinal flora transplantation from cancer individuals can ameliorate cognitive impairment. Methods: Morris water maze and object recognition tests were performed to assess cognitive function after the fecal flora from tumor-bearing and WT mice were transplanted into AD mice by gavage. The effect of flora transplantation on AD was analyzed by thioflavin T staining, western blot, and 16S RNA sequencing. Results: AD mice with FMT …significantly improved short-term memory level and cognitive ability compared with Tg + NaCl group. Inflammatory factors in the plasma were regulated, and Aβ plaques burden in the hippocampus and cortex were decreased. FMT in the tumor-bearing group showed a higher significant amelioration in symptoms compared to the healthy group. 16S RNA sequencing revealed that FMT treatments could reverse the increased Firmicutes and Prevotella and the decreased Bacteroidetes , Bacteroides , and Sutterella in AD mice. AD mice transplanted with tumor-bearing mice feces additionally increased the density of Oscillospira , Odoribacter , and AF12 . Furthermore, the predicted functional analyses showed that the metabolism of inorganic and organic salts in the intestinal flora of AD mice was also reversed by FMT. Conclusion: Intestinal flora transplantation from tumor-bearing mice can ameliorate the cognitive impairment of AD mice. Show more

Keywords: Alzheimer’s disease, cancer, fecal microbiota transplants, intestinal flora

DOI: 10.3233/JAD-215495

Citation: Journal of Alzheimer's Disease, vol. 86, no. 3, pp. 1287-1300, 2022