The skin microbiota of preterm infants and impact of diaper change frequency. by Noelle E Younge, D Joshua Parris, Daniel Hatch, Angel Barnes, Debra H Brandon

“…Alpha-diversity of the skin microbiota was inversely correlated with skin pH, but not transepidermal water loss. Microbiota community structure differed significantly between body sites (buttocks, chest, and stool) and between individuals. …”
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Pawpaws prevent predictability: A locally dominant tree alters understory beta‐diversity and community assembly by Anna C. Wassel, Jonathan A. Myers

“…Dominant species can increase the importance of deterministic community assembly by competitively excluding species in a consistent way across local communities, resulting in low site‐to‐site variation in community composition (beta‐diversity) and nonrandom community structure. In contrast, dominant species could increase the importance of stochastic community assembly by reducing the total number of individuals in local communities (community size), resulting in high beta‐diversity and more random community structure. …”
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The Diversity of Ants in Different Land Develompental: An Agroforestry Phase Approach by Ananto Triyogo, Budiadi Budiadi, SM Widyastuti, Suwito Setyo Budi, Selly Varanita

“…In terms of ecology, the mechanism of how the AF development phase affects the community structure is important to know. This research was conducted to determine the community structure of ants under the AF ecosystem and it is functional groups. …”
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Dynamic changes in physicochemical property, biogenic amines content and microbial diversity during the fermentation of Sanchuan ham by Zhongai Chen, Hong Chen, Huan Du, Cong Chen, Kaixiang Lu, Qiaoli Xue, Yongjin Hu

“…Sanchuan ham is appreciated in Yunnan Province, China, for its characteristic flavor and taste, while the microbial community structure and biogenic amines content remain unclear during fermentation processes. …”
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Variation in Benthic Macroinvertebrates Along aLongitudinal Gradient of a Disturbed Nyakambu Stream Kabale District Southwestern Uganda. by Byaruhanga, Benson

“…Macroinvertebrate community structure and South African Scoring System (SASS) scores closely followed the induced changes in water quality due to human activities. …”
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Research progress of dynamic community evolution by Jianfei PAN, Lili XU, Yihong DONG

“…Community structure is one of the topological characteristics of social network.It is an important research topic in social network research to explore the structure of community,detect and predict the change of community structure.The evolution of dynamic community was discussed from time slicing processing and dynamic increment strategies.The time slice processing strategy introduced the comparative evolution of the time slice,the clustering evolution of the time slice,and the fusion evolution of the time slice.The dynamic increment strategy described the dynamic evolution of the core community,the dynamic evolution of the cluster and the dynamic evolution of the index.Finally,the framework of community evolution prediction was summarized.…”
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Spatiotemporal distribution patterns and assembly mechanisms of eukaryotic plankton communities in Liujiaxia Reservoir at the northeastern edge of the Tibetan Plateau by Lingyun Chen, Jihua Cheng, Yangcuo Wanma, Shiying Zhu, Alan Warren, Yingzhi Ning

“…This study provides valuable insight into the eukaryotic plankton community structure in the Liujiaxia Reservoir in the northeastern edge of the Tibetan Plateau, and the relationships between eukaryotic plankton communities, environmental factors, and water quality. …”
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Microbial Composition Change and Heavy Metal Accumulation in Response to Organic Fertilization Reduction in Greenhouse Soil by Qin Qin, Jun Wang, Lijuan Sun, Shiyan Yang, Yafei Sun, Yong Xue

“…The soil pH emerged as the primary driving factor for variation in the bacterial community structure, whereas available nitrogen, potassium, and lead were the key factors influencing fungal community structural changes. …”
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Bird flock effect-based dynamic community detection: Unravelling network patterns over time by Siti Haryanti Hairol Anuar, Zuraida Abal Abas, Iskandar Waini, Mohd Fariduddin Mukhtar, Zejun Sun, Eko Arip Winanto, Norhazwani Mohd Yunos

“…Community structure is essential for topological analysis, function study, and pattern detection in complex networks. …”
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Cluster Synchronization of Time-Varying Delays Coupled Complex Networks with Nonidentical Dynamical Nodes by Shuguo Wang, Hongxing Yao, Mingping Sun

“…The controllers are designed based on the community structure of the networks; some sufficient criteria are derived to ensure cluster synchronization of the network model. …”
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Structure Properties of Koch Networks Based on Networks Dynamical Systems by Yinhu Zhai, Jia-Bao Liu, Shaohui Wang

“…Furthermore, the community structure in Koch networks is studied by the current and voltage characterizations of its resistor networks.…”
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Survey of community privacy in social network by Zhongyuan JIANG, Xianyu CHEN, Jianfeng MA

“…Community is an important feature of social network and the development of community detection technology brings the danger of privacy disclosure to network users.How to protect sensitive community information from being leaked and ensure the security of users and communities has become a research hotspot in the field of network security.In recent years, community privacy protection technology has made initial progress, but there is a few survey on the research of community privacy or community security in social networks, and it may limit the potential and long-term development of this research topic.The research on the privacy of community structure was mainly reviewed and the related works on community security were classified, summarized, compared.The hot issues of community security in the future were proposed.…”
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No microorganism was detected in amniotic fluid of healthy pregnancies from the second trimester to the delivery by Yu Liu, Jingmei Ma, Xiang Li, Haijuan Zhao, Qubo Ai, Lanying Zhang, Yulong Tong, Lingzhen Meng, Huixia Yang

“…Results In cohort 1, the bacterial load and community structure in the second trimester AF samples were indistinguishable from negative controls. …”
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Performance of sulfur/steel slag composite matrix in removing nitrate from surface water with low-carbon content by PENG Xianchun, ZHENG Lili, LU Haoran, WANG Zhefeng, ZHU Zheng, LIANG Wenyan

“…The analysis of microbial community structure showed that the microorganisms responsible for denitrification belonged to Proteobacteria and Bacteroidota. …”
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Genome-resolved year-round dynamics reveal a broad range of giant virus microdiversity by Yue Fang, Lingjie Meng, Jun Xia, Yasuhiro Gotoh, Tetsuya Hayashi, Keizo Nagasaki, Hisashi Endo, Yusuke Okazaki, Hiroyuki Ogata

“…ABSTRACT Giant viruses are crucial for marine ecosystem dynamics because they regulate microeukaryotic community structure, accelerate carbon and nutrient cycles, and drive the evolution of their hosts through co-evolutionary processes. …”
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Gut microbiota and quantitative traits divergence at different altitude of long-tailed dwarf hamsters, Cricetulus longicaudatus by Yue Ren, Mengfan Tao, Xiaoliang Wang, Xinsheng Pu, Guangtong Guo, Kuiyou Chen, Bingyu Zhao, Yu Hou, Xin'gen Yang, Yumei Xu

“…To investigate the community structure and diversity of gut microflora and their function in body mass regulation, as well as the effects of various locations on gut microbiota and Cricetulus longicaudatus body mass regulation at various elevations. …”
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Grazing Intensity Modifies Soil Microbial Diversity and Their Co-Occurrence Networks in an Alpine Steppe, Central Tibet by Mingxue Xiang, Zepeng Liang, Yanjie Zhang, Junxi Wu, Tao Ma, Lha Duo, Xianzhou Zhang, Gang Fu

“…MG significantly increased the bacterial Shannon index and changed the bacterial community structure. In contrast, HG decreased the fungal ACE and Chao1 indices and also changed the fungal community structure (<i>p</i> < 0.05). …”
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Classical Biological Control of Air Potato in Florida by Ted D. Center, William A. Overholt

“…By 1999, it was recognized as transforming plant communities by displacing native species, changing community structure and disrupting ecological functions. …”
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Incremental dynamic community discovery algorithm based on multi-core nodes by Jing CHEN, Zhijun LIU, Xinyu YANG, Mingxin LIU, Miaomiao LIU

“…A new incremental dynamic community discovery algorithm MCNIDCD based on multiple core nodes was proposed to address challenges in dynamic community discovery.It adapted to sudden events like the emergence or disappearance of communities during evolution.MCNIDCD categorized core nodes into diffusion and cohesion types, and devised four incremental updating strategies.It adjusted node community membership locally and optimized community structure using an incremental modularity method to facilitate community merging.Evaluation on artificial and real networks shows MCNIDCD’s high conformity to community evolution patterns.In real network experiments, MCNIDCD exhibits a 28% average improvement in modularity performance and significant stability advantages.Its superiority is important for studying dynamic community evolution.…”
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Community detection in multiplex networks via consensus matrix by Nianwen Ning, Bin Wu

“…In complex network of real world,there are many types of relationships between individuals,and the more effective research ways for this kind of network is to abstract these relationship as a multiplex network.More and more researchers are attracted to be engaged in multiplex network research.A novel framework of community detection of multiplex network based on consensus matrix was presented.Firstly,this framework merges the structure of multiplex network and the information of link between each node into monoplex network.Then,the community structure information of each layer network was obtained through consensus matrix,and the traditional community division algorithm was utilized to carry out community detection of combine networks.The experimental results show that the proposed algorithm can get better performance of community partition in the real network datasets.…”
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