Co-Loan Network of Chinese Banking System Based on Listed Companies’ Loan Data by Liang Li, Qianting Ma, Jianmin He, Xin Sui

“…Based on the loan data of Chinese listed companies from 2008 to 2016, this paper constructs a co-loan network of the Chinese banking system and analyzes the topological structures and corresponding evolvement characteristics from the perspective of complex network. Through the empirical studies, we find that the co-loan network always displays a core-periphery structure; for example, ten banks including four state banks and six large commercial banks are always in the core region of the Chinese banking system for nine consecutive years. …”
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Seismic Isolation Performance Evaluation for a Class of Inerter-Based Low-Complexity Isolators by Fei Cao, Michael Z. Q. Chen, Yinlong Hu

“…In this paper, the seismic base isolation problem for all low-complexity networks containing one inerter, one spring, and one damper is studied based on a multi-degree-of-freedom model. …”
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Molecular Mechanisms of the Whole DNA Repair System: A Comparison of Bacterial and Eukaryotic Systems by Rihito Morita, Shuhei Nakane, Atsuhiro Shimada, Masao Inoue, Hitoshi Iino, Taisuke Wakamatsu, Kenji Fukui, Noriko Nakagawa, Ryoji Masui, Seiki Kuramitsu

“…All organisms have developed a complex network of DNA repair mechanisms. A variety of different DNA repair pathways have been reported: direct reversal, base excision repair, nucleotide excision repair, mismatch repair, and recombination repair pathways. …”
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Stanley Depth of the Edge Ideal of Extended Gear Networks and Application in Circuit Analysis by Guiling Zeng, Muhammad Mobeen Munir, Raheel Farooki, Muhammad Athar, Jia Bao Liu

“…Graph theory is widely used in power network analysis, complex network, and engineering calculation. Stanley depth is a geometric invariant of the module which is closely related to an algebraic invariant called depth of the module. …”
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A Model for Evolution of Investors Behavior in Stock Market Based on Reinforcement Learning in Network by Xiaqun Liu, Yaming Zhuang, Jinsheng Li

“…Due to the heterogeneity of learning characteristics of bounded rational investors in investment decisions, we consider, respectively, the evolution mechanism of individual investors and institutional investors on the complex network theory and reinforcement learning theory. …”
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Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways by Sihong Chen, Jianchao Xi, Menghao Liu, Tao Li

“…Transportation is an example of a typical, open, fluid complex network system. Expressways are one form of complex transportation networks, and expressway service areas serve as infrastructure nodes in the expressway transportation network; hence, their construction has a significant impact on tourism development and utilization. …”
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L’Éducation nouvelle et l’idée de liberté : approche trialectique by Emilie Osmont

“…More specifically, referring to the paradigm of complexity, which is enriched by the contributions of trialectic logic, we study the relationship freedom / education on repositioning it in a complex network of influences in order to highlight the concepts third who successively governed it. …”
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The Construction of an Aircraft Control Multilayer Network and Its Robustness Analysis by Guangjian Ren, Ming Zhang, Yushuai Guo

“…The characteristics of ACMN are studied based on complex network theory. Simultaneously, according to the multilayer characteristics of ACMN and the relative entropy theory, a robustness analysis method is proposed. …”
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Crosstalk between Innate Lymphoid Cells and Other Immune Cells in the Tumor Microenvironment by Fabian Flores-Borja, Sheeba Irshad, Peter Gordon, Felix Wong, Ibrahim Sheriff, Andrew Tutt, Tony Ng

“…However, recent evidence from experimental models and clinical studies has demonstrated that ILC contribute to the mechanisms that generate suppressive or tolerant environments that allow tumor regression or progression. Defining the complex network of interactions and crosstalk of ILC with other immune cells and understanding the specific contributions of each type of ILC leading to tumor development will allow the manipulation of their function and will be important to develop new interventions and therapeutic strategies.…”
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A Decomposition Algorithm for Learning Bayesian Networks Based on Scoring Function by Mingmin Zhu, Sanyang Liu

“…The theoretical and experimental results show that our algorithm can efficiently and accurately identify complex network structures from small data set.…”
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A Hybrid Model of Extreme Learning Machine Based on Bat and Cuckoo Search Algorithm for Regression and Multiclass Classification by Qinwei Fan, Tongke Fan

“…However, the standard ELM requires more hidden nodes in the application due to the random assignment of hidden layer parameters, which in turn has disadvantages such as poorly hidden layer sparsity, low adjustment ability, and complex network structure. In this paper, we propose a hybrid ELM algorithm based on the bat and cuckoo search algorithm to optimize the input weight and threshold of the ELM algorithm. …”
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Cooperation Mechanism in Blockchain by Evolutionary Game Theory by Jinxin Zhang, Meng Wu

“…To better understand the blockchain design of cooperation mechanisms, in this paper, we constructed a game framework between participants with different willingness, using evolutionary game theory, and complex network games. We analyzed how the behavior of participants potentially develops with cost and payoff. …”
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PPARα as a Transcriptional Regulator for Detoxification of Plant Diet-Derived Unfavorable Compounds by Bunichiro Ashibe, Yu Nakajima, Yuka Fukui, Kiyoto Motojima

“…PPARα plays a vital role in direct or indirect activation of the relevant genes via the complex network among other xenobiotic nuclear receptors. …”
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Analysing Topology Control Protocols in Wireless Sensor Network Using Network Evolution Model by Chiranjib Patra, Samiran Chattopadhyay, Matangini Chattopadhyay, Parama Bhaumik

“…Using our theoretical framework based on a complex network model, we have also tried to quantify some of the observed features of these algorithms such as number of cluster heads and average degree of the resultant graph. …”
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A Novel Intelligent Recommendation Algorithm Based on Mass Diffusion by Guanglai Tian, Shuang Zhou, Gengxin Sun, Chih-Cheng Chen

“…Based on user-item bipartite graph, this paper establishes a multisubnet composited complex network (MSCCN) of multiple user relationships and then extends the mass diffusion (MD) algorithm into a novel intelligent recommendation algorithm. …”
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Psychocardiology, discipline is essential in these times by Teresa Rodríguez Rodríguez

“…It emphasizes the importance of giving the study and psychological interventions in heart disease and a gender focus to include the study of the family as the cradle of learning styles of life, social support agent, as well as subjects that involved directly in the complex network of heart disease by genetic markers. It appeals to the need to sensitize medical professionals and doctors in the multifactorial approach of these diseases, as the only way to reduce morbidity and mortality from this cause and raise the quality of life of coronary patients.…”
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Microenvironment-Centred Dynamics in Aggressive B-Cell Lymphomas by Matilde Cacciatore, Carla Guarnotta, Marco Calvaruso, Sabina Sangaletti, Ada Maria Florena, Vito Franco, Mario Paolo Colombo, Claudio Tripodo

“…The cancer-associated microenvironment is a complex network of nonneoplastic immune and stromal cells embedded in extracellular components, giving rise to a multifarious crosstalk with neoplastic cells towards the induction of a supportive milieu. …”
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Gut microbiome diversity as adjuvant marker for immune function by Mahdaleny, Febriana Catur Iswanti

“…In essence, the extracellular matrix of gut mucosal biofilm is a complex network of microbes and their secretions, as well as the host's secretions and signals (mainly mucus/mucin). …”
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Structural model of a bacterial focal adhesion complex by Christian Cambillau, Tâm Mignot

“…The bFA system, known as Agl-Glt, is a complex network of at least 17 proteins spanning the cell envelope. …”
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MicroRNAs in Neurotoxicity by Prameet Kaur, Arunmozhiarasi Armugam, Kandiah Jeyaseelan

“…MicroRNAs are gaining importance as regulators of gene expression with the capability to fine-tune and modulate cellular events. The complex network with their selective targets (mRNAs/genes) pave way for regulation of many physiological processes. …”
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