Enhanced Distance Dynamics Model for Community Detection via Ego-Leader

( Cai Lijun ),( Zhang Jing ),( Chen Lei ),( He Tingqin ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.5

Distance dynamics model is an excellent model for uncovering the community structure of a complex network. However, the model has poor robustness. To improve the robustness, we design an enhanced distance dynamics model based on Ego-Leader and propose a corresponding community detection algorithm, called E-Attractor. The main contributions of E-Attractor are as follows. First, to get rid of sensitive parameter λ, Ego-Leader is introduced into the distance dynamics model to determine the influence of an exclusive neighbor on the distance. Second, based on top-k Ego-Leader, we design an enhanced distance dynamics model. In contrast to the traditional model, enhanced model has better robustness for all networks. Extensive experiments show that E-Attractor has good performance relative to several state-of-the-art algorithms.

Polymorphism of the Promoter Region of Hsp70 Gene and Its Relationship with the Expression of HSP70mRNA, HSF1mRNA, Bcl-2mrna and Bax-AMrna in Lymphocytes in Peripheral Blood of Heat Shocked Dairy Cows

Cai, Yafei,Liu, Qinghua,Xing, Guangdong,Zhou, Lei,Yang, Yuanyuan,Zhang, Lijun,Li, Jing,Wang, Genlin Asian Australasian Association of Animal Productio 2005 Animal Bioscience Vol.18 No.5

The blood samples were collected from dairy cows at the same milking stage. The single-strand conformation polymorphism (PCR-SSCP) method was used to analyze for polymorphism at the 5'flanking region of the hsp70 gene. The mRNA expression levels of HSP70, HSF1, Bcl-2 and Bax-$\alpha$ at different daily-mean-temperature were analyzed by relative quantitative RTPCR. The DNA content, cell phase and the ratio of apoptosis of lymphocytes in peripheral blood of dairy cattle at different daily-meantemperature were determined by FCM. The PCR-SSCP products of primer pair 1 showed polymorphisms and could be divided into four genotypes: aa, ab, ac, cc, with the cis-acting element (CCAAT box) included. Mutations in the hsp70 5'flanking region (468-752 bp) had different effects on mRNA expression of HSP70, HSF1, Bcl-2 and Bax-$\alpha$. The ac genotypic cows showed higher expressions of HSP70mRNA, HSF1mRNA and Bcl-2mRNA/Bax-$\alpha$mRNA and lower ratio of apoptosis. These mutation sites can be used as molecular genetic markers to assist selection for anti-heat stress cows.

Mean-square Exponential Stability of Impulsive Stochastic Time-delay Systems with Delayed Impulse Effects

Lijun Gao,Dandan Wang,Yingying Cai 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.3

This paper is concerned with the mean-square exponential stability problem for a class of impulsivestochastic systems with delayed impulses. The delays exhibit in both continuous subsystem and discrete subsystem. By constructing piecewise time-varying Lyapunov functions and Razumikhin technique, sufficient conditions arederived which guarantee the mean-square exponential stability for impulsive stochastic delay system. It is shownthat the obtained stability conditions depend both on the lower bound and the upper bound of impulsive intervals,and the stability of system is robust with regard to sufficiently small impulse input delays. Finally, two examplesare proposed to verify the efficiency of the proposed results.

Research on New Media Art Generation by Usingthe Empirical Research Method

Cai-xian Ye,Tsenguun Ganbat,Lijun Xu 한국인터넷전자상거래학회 2023 인터넷전자상거래연구 Vol.23 No.6

With the rapid development of new computer technology, the field of new media art is facing new ways of creation and expression.This paper aims to use MR technology, big model AIGC and decision tree CART algorithm to reuse circular space, generate scenes in real time, provide rich and personalized experience for new media art trainer, and improve the replay rate of customers. This study uses empirical research method to test teenagers under 15 years old as users to study their physiological and psychological responses when using new media art works. Then through questionnaire surveys, in-depth interviews and other methods to obtain users ' experience feedback on new media art works to understand the user's cognitive, emotional, behavioral and other experiences of art works.Then data preprocessing and data mining are used to process the data to ensure the reliability and effectiveness of the experimental samples.Use machine learning model to train and use generative artificial intelligence to generate content and then generate new media art based on user experience in real time.

Association of Perceived Stress With Depression Among Vaccinated Healthcare Workers During the SARS-CoV-2 Variant Outbreak: The Mediating Role of Compassion Fatigue

Cai Xue,Li Guohong,Feng Haixia,Wang Xiaoyan,He Lijun,Luo Dan,Xu Cuirong,Huang Yingzi,Qiu Shanhu 대한신경정신의학회 2023 PSYCHIATRY INVESTIGATION Vol.20 No.4

Objective Depression was common during coronavirus disease-2019 (COVID-19) pandemic, while the association of perceived stress with depression among vaccinated healthcare workers has not been investigated. This study aimed to address this issue.Methods We included a total of 898 fully vaccinated healthcare workers during the outbreak of severe acute respiratory syndrome coronavirus 2 Delta variant in Nanjing, 2021. Depression was ascertained by Patient Health Questionnaire-9, with a cut-off score of ≥5 indicative of mild-to-severe depression. Perceived stress, resilience, and compassion fatigue were assessed by Perceived Stress Scale-10, Resilience Scale-25, and Professional Quality of Life Scale version-5, respectively. Logistic regression analyses were used to estimate the odds ratio (OR) and 95% confidence interval (CI), along with subgroup and mediation analyses.Results The prevalence of mild-to-severe depression was 41.1% in vaccinated healthcare workers. The odd of mild-to-severe depression was increased with higher perceived stress. Compared with vaccinated healthcare workers with the lowest tertile of perceived stress, those with the highest tertile had increased odds of mild-to-severe depression by 120% (OR 2.20, 95% CI 1.46 to 3.31) after multivariable-adjustment. However, perceived stress was not associated with mild-to-severe depression in vaccinated healthcare workers with strong resilience, but was in those with weak resilience (p_interaction=0.004). Further analysis showed that compassion fatigue mediated the relationship between perceived stress and mild-to-severe depression, with a mediating effect of 49.7%.Conclusion Perceived stress was related to an increased odd of mild-to-severe depression in vaccinated healthcare workers during COVID-19 pandemic, and this relationship might be explained by compassion fatigue.

Identifying long non-coding RNAs and characterizing their functional roles in swine mammary gland from colostrogenesis to lactogenesis

Shi Lijun,Zhang Longchao,Wang Ligang,Liu Xin,Gao Hongmei,Hou Xinhua,Zhao Fuping,Yan Hua,Cai Wentao,Wang Lixian 아세아·태평양축산학회 2022 Animal Bioscience Vol.35 No.6

Objective: This study was conducted to identify the functional long non-coding RNAs (lncRNAs) for swine lactation by RNA-seq data of mammary gland. Methods: According to the RNA-seq data of swine mammary gland, we screened lncRNAs, performed differential expression analysis, and confirmed the functional lncRNAs for swine lactation by validation of genome wide association study (GWAS) signals, functional annotation and weighted gene co-expression network analysis (WGCNA). Results: We totally identified 286 differentially expressed (DE) lncRNAs in mammary gland at different stages from 14 days prior to (-) parturition to day 1 after (+) parturition, and the expressions of most of lncRNAs were strongly changed from day –2 to day +1. Further, the GWAS signals of sow milk ability trait were significantly enriched in DE lncRNAs. Functional annotation revealed that these DE lncRNAs were mainly involved in mammary gland and lactation developing, milk composition metabolism and colostrum function. By performing weighted WGCNA, we identified 7 out of 12 lncRNA-mRNA modules that were highly associated with the mammary gland at day –14, day –2, and day +1, in which, 35 lncRNAs and 319 mRNAs were involved. Conclusion: This study suggested that 18 lncRNAs and their 20 target genes were promising candidates for swine parturition and colostrum occurrence processes. Our research provided new insights into lncRNA profiles and their regulating mechanisms from colostrogenesis to lactogenesis in swine. Objective: This study was conducted to identify the functional long non-coding RNAs (lncRNAs) for swine lactation by RNA-seq data of mammary gland.Methods: According to the RNA-seq data of swine mammary gland, we screened lncRNAs, performed differential expression analysis, and confirmed the functional lncRNAs for swine lactation by validation of genome wide association study (GWAS) signals, functional annotation and weighted gene co-expression network analysis (WGCNA).Results: We totally identified 286 differentially expressed (DE) lncRNAs in mammary gland at different stages from 14 days prior to (-) parturition to day 1 after (+) parturition, and the expressions of most of lncRNAs were strongly changed from day –2 to day +1. Further, the GWAS signals of sow milk ability trait were significantly enriched in DE lncRNAs. Functional annotation revealed that these DE lncRNAs were mainly involved in mammary gland and lactation developing, milk composition metabolism and colostrum function. By performing weighted WGCNA, we identified 7 out of 12 lncRNA-mRNA modules that were highly associated with the mammary gland at day –14, day –2, and day +1, in which, 35 lncRNAs and 319 mRNAs were involved.Conclusion: This study suggested that 18 lncRNAs and their 20 target genes were promising candidates for swine parturition and colostrum occurrence processes. Our research provided new insights into lncRNA profiles and their regulating mechanisms from colostrogenesis to lactogenesis in swine.

A New Quinoline-Based Acylhydrazone for Highly Selective Fluorescence Recognition of Cu(II) and Sulfide in Aqueous Solution

Tang, Lijun,Zhou, Pei,Qi, Zhikai,Huang, Zhenlong,Zhao, Jia,Cai, Mingjun Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.8

A new quinoline-based acylhydrazone (1) has been synthesized and applied as a fluorescent probe. Probe 1 exhibits high selectivity and sensitivity to $Cu^{2+}$ with fluorescence "ON-OFF" behavior in HEPES buffered (1‰ DMSO, HEPES 20 mM, pH = 7.4) solution. The on-site generated 1-$Cu^{2+}$ complex displays excellent selectivity to sulfide ions with fluorescence "OFF-ON" performance through copper displacement approach.

New Application of 2-(4-N-Phenyl-3-thiosemicarbazone)-8-hydroxyquinoline as a Sensor for Relay Recognition of Cu²⁺ and Sulfide in Aqueous Solution

Tang, Lijun,Zhou, Pei,Huang, Zhenlong,Zhao, Jia,Cai, Mingjun Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.10

Fluorescent and colorimetric recognition properties of 2-(4-N-phenyl-3-thiosemicarbazone)-8-hydroxyquinoline (1) in buffered aqueous solution (1% DMSO, HEPES 20 mM, pH = 7.4) have been examined. Sensor 1 displays highly selective and sensitive recognition to $Cu^{2+}$ with fluorescence "ON-OFF" performance. The in situ formed 1-$Cu^{2+}$ complex exhibits an excellent selectivity toward sulfide ions with fluorescence "OFF-ON" behavior via $Cu^{2+}$ displacement approach. Thus, relay recognition of $Cu^{2+}$ and sulfide by a known molecule 1 has been achieved.

K-Hop Community Search Based On Local Distance Dynamics

( Tao Meng ),( Lijun Cai ),( Tingqin He ),( Lei Chen ),( Ziyun Deng ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.7

Community search aims at finding a meaningful community that contains the query node and also maximizes (minimizes) a goodness metric. This problem has recently drawn intense research interest. However, most metric-based algorithms tend to include irrelevant subgraphs in the identified community. Apart from the user-defined metric algorithm, how can we search the natural community that the query node belongs to? In this paper, we propose a novel community search algorithm based on the concept of the k-hop and local distance dynamics model, which can naturally capture a community that contains the query node. The basic idea is to envision the nodes that k-hop away from the query node as an adaptive local dynamical system, where each node only interacts with its local topological structure. Relying on a proposed local distance dynamics model, the distances among nodes change over time, where the nodes sharing the same community with the query node tend to gradually move together, while other nodes stay far away from each other. Such interplay eventually leads to a steady distribution of distances, and a meaningful community is naturally found. Extensive experiments show that our community search algorithm has good performance relative to several state-of-the-art algorithms.

A Simple Benzimidazole Based Fluorescent Sensor for Ratiometric Recognition of Zn²⁺ in Water

Zhong, Keli,Cai, Mingjun,Hou, Shuhua,Bian, Yanjiang,Tang, Lijun Korean Chemical Society 2014 Bulletin of the Korean Chemical Society Vol.35 No.2

A phenylbenzimidazole derivatized sensor (L) that behaves as a ratiometric fluorescent receptor for $Zn^{2+}$ in water has been described. In HEPES buffer at pH 7.4, sensor L displays a weak fluorescence emission band at 367 nm. Upon addition of $Zn^{2+}$, the emission intensity at 367 nm is decreased, concomitantly, a new emission band centered at 426 nm is developed, thus facilitates a ratiometric $Zn^{2+}$ sensing behavior. Sensor L binds $Zn^{2+}$ through a 1:1 binding stoichiometry with high selectivity over other metal cations. Sensor L displays a linear response to $Zn^{2+}$ concentration from 0 to $6.0{\times}10^{-5}M$, sensor L also exhibits high sensitivity to $Zn^{2+}$ with a detection limit of $3.31{\times}10^{-7}M$.