Genome-wide association study (GWAS) uncovers candidate genes linked to the germination performance of bread wheat (Triticum aestivum L.) under salt stress by Saeideh Javid, Mohammad Reza Bihamta, Mansour Omidi, Ali Reza Abbasi, Hadi Alipour, Pär K. Ingvarsson, Peter Poczai

“…Most of these genes play key roles in DNA/RNA/ATP/protein binding, transferase activity, transportation, phosphorylation, or ubiquitination and some harbored unknown functions that collectively may respond to salinity as a complex network. Conclusion These findings, including the candidate genes, respective pathways, marker-trait associations (MTAs), and in-depth phenotyping of wheat accessions, improve knowledge of the mechanisms responsible for better germination performance of wheat seedlings under salinity conditions.…”
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Neuropilin 1 Mediates Keratinocyte Growth Factor Signaling in Adipose-Derived Stem Cells: Potential Involvement in Adipogenesis by Simona Ceccarelli, Cristina Nodale, Enrica Vescarelli, Paola Pontecorvi, Valeria Manganelli, Giovanni Casella, Maria Giuseppina Onesti, Maurizio Sorice, Ferdinando Romano, Antonio Angeloni, Cinzia Marchese

“…Adipogenesis is regulated by a complex network of molecules, including fibroblast growth factors. …”
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A security data detection and management method in digital library network based on deep learning by Diyin Zhu, Yihang Wei, Jiali Cai, Jingwen Wang, Zhongshan Chen

“…With the rapid growth of data volume in digital library and the increasingly complex network environment, traditional network security measures are no longer able to meet their security needs. …”
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Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids by Tao Wang, Xiaoguang Wei, Tao Huang, Jun Wang, Luis Valencia-Cabrera, Zhennan Fan, Mario J. Pérez-Jiménez

“…In the interdependent fault propagation model, the complex network-based virus propagation model is used to describe virus infection in the scale-free and small-world topologically structured communication networks. …”
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Exploring the Node Importance and Its Influencing Factors in the Railway Freight Transportation Network in China by Qipeng Sun, Xiaozhuang Guo, Wenjing Jiang, Haiying Ding, Tingzhen Li, Xingbo Xu

“…Node importance is a key factor affecting the overall operation efficiency of a railway freight transportation network (RFTN) that can be measured with the indicators of Hub and PageRank. Based on complex network theory and the national railway cargo exchange data of China’s provinces, this study constructs an RFTN model with the 31 provinces as the nodes and measures the values of Hub and PageRank for the 31 provinces. …”
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Molecular Crosstalking among Noncoding RNAs: A New Network Layer of Genome Regulation in Cancer by Marco Ragusa, Cristina Barbagallo, Duilia Brex, Angela Caponnetto, Matilde Cirnigliaro, Rosalia Battaglia, Davide Barbagallo, Cinzia Di Pietro, Michele Purrello

“…However, recent evidence has shown the existence of an unexpected interplay among ncRNAs that strongly influences cancer development and progression. ncRNAs can interact with and regulate each other through various molecular mechanisms generating a complex network including different species of RNAs (e.g., mRNAs, miRNAs, lncRNAs, and circRNAs). …”
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Military neutrality and cooperation as instruments for achieving the national interest of the Republic of Serbia by Ćurčić Milica, Dinić Jelena

“…Formulating responsible national security policy as the ultimate goal implies a coherent approach in analyzing the complex network of relationships among actors on the international political stage and a profound understanding of the implications of these processes on realizing the national interests of Serbia.…”
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TNF-α Regulates Natriuretic Peptides and Aquaporins in Human Bronchial Epithelial Cells BEAS-2B by Letizia Mezzasoma, Lucio Cagini, Cinzia Antognelli, Francesco Puma, Eugenio Pacifico, Vincenzo Nicola Talesa

“…Postoperative-fluid retention is a severe complication frequently reported in patients undergoing major surgical procedures. The complex network of molecules involved in such a severe surgery-induced condition remains poorly understood. …”
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Temporal link prediction method based on community multi-features fusion and embedded representation by Yuhang ZHU, Lixin JI, Yingle LI, Haitao LI, Shuxin LIU

“…Dynamic networks integrates time attributes on the basis of static networks, and it contains multiple connotations such as the complexity and dynamics of the network structure.It is a better thinking object for studying complex network link prediction problems in the real world.Its high application value has attracted much attention in recent years.However, most of the research objects of traditional methods are still limited to static networks, and there are problems such as insufficient utilization of network time-domain evolution information and high time complexity.Combining sociological theory, a novel temporal link prediction method was proposed based on community multi-feature fusion embedding representation.The core idea of this method was to analyze the dynamic evolution characteristics of the network, learn the embedded representation vector of nodes within the community, and effectively fuse multiple features to measure the generation probability of the connection between nodes.The network was divided into several subgraphs by using community detection with collective influence weights and the Similarity index was proposed based on the collective influence.Then, the biased random walk and the Skip-gram were used to get the embedded vectors for every node and the Similarity index was proposed based on the random walk within the community.Integrating the collective influence, multiple central features of the community, and the representation vector learned within the community, the Similarity index was proposed based on the multi-features fusion.Compared with classical temporal link prediction methods, including moving average methods, embedded representation methods, and graph neural network methods, experimental results on six real data sets show that the proposed methods based on the random walk within the community and the multi-features fusion both achieve better prediction performance under the evaluation criteria of AUC.…”
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Analysis on Quantified Self-Behavior of Customers in Food Consumption under the Perspective of Social Networks by Lei Lei, Yaling Zhu, Qiang Liu

“…In view of the above understanding, this study uses experimental design and field survey to obtain data, uses Heckman two-step method and PLS path modeling method to analyze the impact of consumers’ quantified self-behavior on their health food consumption, and discusses the moderating role of social networks based on the perspective of complex network. The results show that (1) consumers’ health awareness can promote their choice of quantified self-behavior, (2) consumers’ quantified self-behavior is helpful to promote their purchase intention and purchase scale of healthy food, and (3) social networks play a positive moderating role in consumers’ quantified self-influence on their healthy food consumption. …”
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FWA-SVM Network Intrusion Identification Technology for Network Security by Yaohui Zhang

“…The effectiveness of traditional network intrusion is limited in the face of complex network attacks and constantly increasing data volume. …”
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The Pivotal Immunomodulatory and Anti-Inflammatory Effect of Histone-Lysine N-Methyltransferase in the Glioma Microenvironment: Its Biomarker and Therapy Potentials by Seidu A. Richard, Kuugbee D. Eugene

“…The glioma microenvironment is a dynamic component that comprises, besides glioma cells and glioma stem cells, a complex network that comprises diverse cell types like endothelial cells, astrocytes, and microglia as well as stromal components, soluble factors, and the extracellular membrane. …”
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FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images. by Nicholas T Gigliotti, Justin Lee, Emily H Mang, Giancarlo R Zambrano, Mitra L Taheri

“…The extracellular matrix (ECM) is a complex network of biomolecules that plays an integral role in the structure, processes, and signaling mechanisms of cells and tissues. …”
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Influence maximization under imbalanced heterogeneous networks via lightweight reinforcement learning with prior knowledge by Kehong You, Sanyang Liu, Yiguang Bai

“…Abstract Influence Maximization (IM) stands as a central challenge within the domain of complex network analysis, with the primary objective of identifying an optimal seed set of a predetermined size that maximizes the reach of influence propagation. …”
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Cross Layer Optimization and Simulation of Smart Grid Home Area Network by Lipi K. Chhaya, Paawan Sharma, Adesh Kumar, Govind Bhagwatikar

“…Smart Grid is characterized by bidirectional flow of electricity and information. Smart Grid is a complex network with hierarchical architecture. Realization of complete Smart Grid architecture necessitates diverse set of communication standards and protocols. …”
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Differential Magnetometer Measurements of Geomagnetically Induced Currents in a Complex High Voltage Network by J. Hübert, C. D. Beggan, G. S. Richardson, T. Martyn, A. W. P. Thomson

“…We find that the measured line and earth GICs match the expected GICs from our network model, confirming that detailed knowledge of the complex network topology and its resistance parameters is essential for accurately computing GICs.…”
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The Intertemporal Evolution Model of Enterprise R&D Cooperative Network by Rongguo Qiu, Yutong Wang, Tingqiang Chen

“…Innovation cooperation among enterprises forms a complex network of enterprise R&D. Given the intertemporal R&D network evolution and the complex influence between stock knowledge, this study constructs a discrete indefinitely intertemporal evolution model of an enterprise R&D cooperation network. …”
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Comparison of Intercity Travel Network Structure during Daily Time and Holiday in China by Runze Qi, Jinghu Pan, Rong Zhang

“…To construct the intercity residents’ travel network, complex network analysis and GIS spatial analysis methods were used. …”
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Multimodal cadmium resistance and its regulatory networking in Pseudomonas aeruginosa strain CD3 by Soumya Chatterjee, Partha Barman, Chandan Barman, Sukanta Majumdar, Ranadhir Chakraborty

“…Bioinformatic analyses revealed a complex network of regulations, with BfmR playing a crucial role in the functions of CzcR and CzcS, essential for biofilm formation and receptor signalling pathways. …”
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A Novel Emerging Topic Identification and Evolution Discovery Method on Time-Evolving and Heterogeneous Online Social Networks by Xiaoyan Xu, Wei Lv, Beibei Zhang, Shuaipeng Zhou, Wei Wei, Yusen Li

“…Firstly, a time-evolving and scalable complex network denoted as KeyGraph is built up by deeply analyzing the text features of all kinds of data crawled from heterogeneous online social network platforms; secondly, a novel dynamic community detection method is proposed by which the new emerging topic is detected on the modeled time-evolving and scalable KeyGraph network; thirdly, a unified directional topic propagation network modeled by a great number of short texts including microblogs and news titles is set up, and the topic evolution law of the previously detected early emerging topic is identified by fully utilizing local network variations and modularity optimization of the “time-evolving” and directional topic propagation network. …”
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