Article
Physics, Multidisciplinary
Jing Chen, Ling Zhou, Weigang Sun
Summary: This paper introduces a novel family of chain star networks connected via a small number of leaf nodes and quantifies their coherence using the Laplacian spectrum. By calculating the characteristic polynomial, an exact relationship between network coherence and network parameters is obtained. The study also shows that the networks coupled by leaf nodes exhibit better coherence.
Article
Mathematics, Interdisciplinary Applications
Qingcheng Zeng, Lifeng Xi
Summary: We define the Hausdorff dimension of the family of networks {G(n)}n ≥ 1, inspired by Frostman's characteristics of potential for the Hausdorff dimension of fractals in Euclidean spaces. We prove that the Hausdorff dimension of the touching networks is log m/log N. Our definition is distinct from the fractal dimension defined for real-world networks.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2023)
Article
Computer Science, Artificial Intelligence
Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera
Summary: This study proposes a consensus model based on the trust-consensus multiplex network, which can consider the mutual influence between trust and consensus and detect and analyze the negative influence of trust on consensus.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Wanyue Xu, Bin Wu, Zuobai Zhang, Zhongzhi Zhang, Haibin Kan, Guanrong Chen
Summary: A striking discovery in network science is that real networked systems exhibit universal structural properties such as sparsity, scale-free, small-world, and loops. Researchers focus on second-order consensus in dynamic networks and find that it scales sublinearly with the number of vertices. This behavior is attributed to the joint influence of scale-free, small-world, and loopy topologies.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Physics, Multidisciplinary
Haiping Gao, Jian Zhu, Yan Dou, Qian Liu, Rui Gao
Summary: The network topology structures of multi-layer networks have a direct impact on network consensus robustness. Different positions of edges between layers result in significant differences in consensus of double-layer chain networks. Finding optimal edge positions for consensus can aid in designing network topology structures with optimal robustness. This study derives the coherence of double-layer chain networks with one and two connected edges between layers using graph theory and conducts simulations to determine optimal and worst connection edge positions for the two types of networks. The optimal edge connection position is found at 1/2 of each chain when there is one edge between layers and at 1/5 and 4/5 of each chain when there are two edges between layers. The worst edge connection position is found at the end node of the chain and its neighbor node. Furthermore, the study reveals a close relationship between the optimal edge connection positions and the number of nodes in the single-layer network, providing specific rules.
FRONTIERS IN PHYSICS
(2023)
Article
Physics, Applied
Tongchun Hu, Leilei Li, Yongqing Wu, Weigang Sun
Summary: This paper applies the leaderless coherence and leader-follower coherence defined by the Laplacian spectrum to noisy trees with given parameters. Analytical solutions for these consensus algorithms are obtained based on the tree's structures. Results show that a bigger difference in the degrees of the hub nodes leads to higher coherence, and a tree without a leader achieves better consensus. Furthermore, the leader-follower coherence increases with more leaders and larger network parameters.
MODERN PHYSICS LETTERS B
(2022)
Article
Engineering, Multidisciplinary
Yilun Shang
Summary: This paper investigates the constrained consensus of a group of continuous-time dynamical agents over state-dependent networks. By utilizing Lyapunov stability theory and robustness analysis, convergence conditions have been obtained and nonlinear control protocols and opinion dynamics models have been proposed, further validating the theoretical results.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Environmental Sciences
Shengyang Feng, Yurong Wu, Yong Liu, Xiangyang Li, Xiaodong Wang, Puxin Chen
Summary: A novel model combining fractal theory and DFN is proposed to simulate radon migration, revealing the impact of different parameters on radon migration. Fractal dimension of fracture lengths and dip angle are identified as key factors influencing radon migration.
Article
Computer Science, Artificial Intelligence
Xiaofei Zhu, Chenghong Li, Jiafeng Guo, Stefan Dietze
Summary: Node classification is important in network applications and has gained attention recently. CNIM-GCN is a novel method that preserves common information between feature space and topology space explicitly by introducing a consensus graph. Experimental results show that CNIM-GCN outperforms existing baselines.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Automation & Control Systems
Lulu Pan, Haibin Shao, Mehran Mesbahi, Yugeng Xi, Dewei Li
Summary: This article examines the consensus problem on matrix-weighted undirected switching networks, providing conditions for achieving average consensus and discussing necessary and sufficient conditions for reaching average consensus in periodic matrix-weighted switching networks from an algebraic perspective. Simulation results are provided to demonstrate the theoretical analysis.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Shima Dezfulian, Yaser Ghaedsharaf, Nader Motee
Summary: This paper investigates the H-2 performance of noisy time-delay consensus networks with directed interconnection topologies. A closed-form expression for the performance measure is derived and its functional properties and scaling properties of the H-2 norm are studied for certain families of networks. Furthermore, the problem of tuning feedback gains of a network with fixed topology to improve its performance is considered. The proposed design method can handle networks with a thousand nodes.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2022)
Article
Mathematics, Interdisciplinary Applications
Guram Mikaberidze, Sayantan Nag Chowdhury, Alan Hastings, Raissa M. D'Souza
Summary: This study explores the collective behavior of interacting entities, focusing on the co-evolution of diverse mobile agents in a heterogeneous environment network. Increasing agent density, introducing heterogeneity, and designing the network structure intelligently can promote agent cohesion.
CHAOS SOLITONS & FRACTALS
(2024)
Article
Physics, Multidisciplinary
Sheng Zhang, Wenxiang Lan, Weikai Dai, Feng Wu, Caisen Chen
Summary: The paper extends the correlation dimension to weighted networks and uses edge-weights accumulation to obtain scale distances. The method was validated for the fractal scaling analysis of weighted complex networks and demonstrated to be more suitable for the quantitative analysis of small-world effects when compared to other fractal dimensions.
Article
Automation & Control Systems
Zuobai Zhang, Wanyue Xu, Yuhao Yi, Zhongzhi Zhang
Summary: This paper proposes a nearly linear-time algorithm to approximate all diagonal entries of L-2 in large-scale networks, with a theoretically guaranteed error for each diagonal entry. Extensive experiments demonstrate the efficiency and accuracy of the algorithm.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Mathematics, Applied
Shuangquan Gu, Qi Fang, Pei Zhou, Nianqiang Li
Summary: We observed chimera states in a large laterally coupled laser array with four different waveguiding structures, where identical oscillators self-organize into spatially separated coexisting domains of coherent and incoherent oscillations. Bifurcation diagrams were presented to show the birth of these chimeras, and it was found that chimeras exist in the boundary between steady state and multi-period oscillation solutions, applicable to all prevalent waveguiding structures considered. The waveguiding structures were also found to play an important role in the chimera states, with the array composed of index antiguiding with gain-guiding having a wider chimera region compared to other waveguides considered. Furthermore, the effects of crucial parameters such as laser separation ratio, pump rate, frequency detuning, and linewidth enhancement factor on the observed phenomena were discussed.
Article
Thermodynamics
Yanyu Qiao, Zhichao Chen, Zheng Yu, Guan Shuo, Jiawei Li, Zhenhua Yuan, Lingyan Zeng, Zhengqi Li
Summary: The combustion characteristics of pyrolytic semi-coke (SC) were studied by analyzing its physical and chemical properties. It was found that SC has a larger specific surface area, pore volume, and fractal dimension compared to anthracite. The main combustion stage of SC consists of fixed carbon combustion and CaCO3 decomposition, and it has a lower ignition temperature than anthracite.
COMBUSTION SCIENCE AND TECHNOLOGY
(2023)
Article
Thermodynamics
Jia Xing Liu, Hang Guo, Fang Ye, Chong Fang Ma
Summary: This paper investigates the electrical performance changes during continuous mode switching between fuel cell and electrolytic modes through experimental research. It is found that the voltage slightly decreases during mode switching, and the two-phase flow phenomenon is similar in different modes. Bubbles are generated and water is consumed in electrolytic mode, while liquid water gathers in the fuel cell mode. The cycle test results show that the voltage of both electrolytic cell and fuel cell decreases periodically, especially under high current density.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Chemistry, Organic
Jia-Bao Liu, Sunny Kumar Sharma, Vijay Kumar Bhat, Hassan Raza
Summary: This paper investigates two chemical structures and computes their multiset dimension and mixed metric dimension. The mixed metric dimension refers to the cardinality of the minimum set of elements that can distinguish different elements in chemical structures through recognition.
POLYCYCLIC AROMATIC COMPOUNDS
(2023)
Article
Engineering, Electrical & Electronic
Lijuan Zhang, Jiajun Liu, Dongming Li, Jinyuan Liu, Xiangkun Liu
Summary: In this paper, a segmentation network called MSAA-Net, which combines multi-scale features and an improved attention-aware U-Net, is proposed. The architecture improves the performance of U-Net and reduces computational costs by extracting features of different scales on a single feature layer and performing attention perception in the channel dimension.
SIGNAL IMAGE AND VIDEO PROCESSING
(2023)
Article
Chemistry, Physical
Zhe An, Jiayu Liu, Meng Cao, Jian Zhang, Yanru Zhu, Hongyan Song, Xu Xiang, Jing He
Summary: This study reports a highly efficient one-pot conversion method from ethanol to DEE, achieving high ethanol conversion and DEE selectivity using a Bi/BiCeOx bifunctional catalyst. Efficient catalysis is achieved on the interfacial Bi delta+-O-v-Ce-III sites through strong metal-support interaction.
Article
Engineering, Environmental
Francielle C. F. Marcos, Raphael S. Alvim, Lili Lin, Luis E. Betancourt, Davi D. Petrolini, Sanjaya D. Senanayake, Rita M. B. Alves, Jose M. Assaf, Jose A. Rodriguez, Reinaldo Giudici, Elisabete M. Assaf
Summary: The role of copper crystallization in enhancing methanol production via CO2 hydrogenation over CuZrO2 catalysts was investigated using a combination of experimental and computational studies. It was found that the intermediate steps of the catalyzed reaction might depend on the incorporation of copper in the zirconia sample. Catalysts containing only amorphous interfacial sites showed higher activity in the CO2-to-methanol hydrogenation process compared to catalysts with high crystallinity of copper.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Chemistry, Physical
Junwei Zheng, Qian Ding, Aina He, Yaqiang Dong, Lei Xie, Xubin Li, Xincai Liu, Jiawei Li
Summary: Fe-Si-B-Cu-Nb nanocrystalline ribbons with increased annealing process window and insensitivity to impurities and surface-crystallized layer were successfully prepared using industrial raw materials.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Environmental Sciences
Xiaoyang Yang, Dongsheng Ji, Jiawei Li, Jun He, Chongshui Gong, Xiaojuan Xu, Zhe Wang, Yu Liu, Fang Bi, Zhongzhi Zhang, Yunbo Chen
Summary: Limited by the scarcity of in situ vertical observation data, the influences of biomass burning in Southeast Asia on major atmospheric carbonaceous compositions in downwind regions have not been thoroughly studied. Aircraft observations were conducted to obtain vertical distributions of black carbon (BC), carbon monoxide (CO), and carbon dioxide (CO2). Four types of profiles were identified. Simulations showed that considering the vertical BC distribution is crucial in estimating the radiative forcing (RF) and heating rate (HR) caused by BC.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Immunology
Yingnan Liu, Zhenhua Xie, Yao Li, Yingying Song, Dongdong Di, Jingyi Liu, Lang Gong, Zongyan Chen, Jinxian Wu, Zhengqin Ye, Jianqi Liu, Wanqi Yu, Lu Lv, Qiuping Zhong, Chuanwen Tian, Qingqing Song, Heng Wang, Hongjun Chen
Summary: African swine fever (ASF) is a highly contagious disease caused by the ASF virus (ASFV). Current research is focused on developing vaccines, and a genetically engineered virus has shown reliable immunity, making it a potential candidate for controlling the spread of the disease.
EMERGING MICROBES & INFECTIONS
(2023)
Article
Chemistry, Multidisciplinary
Shuyue Li, Dongxu Yu, Jingyi Liu, Nan Chen, Zexiang Shen, Gang Chen, Shiyu Yao, Fei Du
Summary: An in situ electrochemical strategy is proposed to regulate the interlayer distance of layered NH4V4O10, revealing a close relationship between optimal performances and interlayer space.
Article
Economics
Jiaming Liu, Chengzhang Li, Peng Ouyang, Jiajia Liu, Chong Wu
Summary: Financial distress prediction is crucial in the fintech field. This study utilizes tree-based gradient boosting models to predict financial distress for Chinese listed companies. The results show that these models have better predictive performance and provide insights on the significant relationships between financial indicators and financial distress.
JOURNAL OF FORECASTING
(2023)
Article
Computer Science, Interdisciplinary Applications
Qingsheng Zhu, Kai Gao, Jia-Bao Liu
Summary: The goal of supply chain management is to improve output levels by integrating and collaborating with supply chain members. However, many decision-making models neglect the consideration of growth expectations for these members, leading to an unstable decision-making process. To address this issue, we propose using cloud theory to quantify growth expectations and establish a cloud model. Our study emphasizes the importance of considering growth expectations when selecting supply chain cooperative members. By utilizing the cloud model, we provide a comprehensive decision-making approach that enables decision-makers to assess the suitability of potential cooperative members and select the best member based on a multi-attribute decision-making process. Case studies demonstrate the effectiveness of our method, ensuring its practicality and usability in real-world applications. Ultimately, our method offers a more efficient means of selecting cooperative members and enhancing supply chain efficiency.
JOURNAL OF COMBINATORIAL OPTIMIZATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Jia-Bao Liu, Xin-Bei Peng, Jing Zhao
Summary: In recent years, the energy consumption and carbon emissions from household consumption in China have been increasing rapidly. To evaluate the progress of building a low-carbon society, the information entropy of direct household consumption-induced carbon emissions structure (IDHCES) from 2005 to 2019 is calculated, and a spatial association network is constructed. The network analysis reveals that the IDHCES is not solely determined by geographical proximity, and the core provinces in the eastern region play a significant role. Factors such as per capita GDP differences, energy consumption per unit of GDP, family size, and government investment in science and technology contribute to the formation of the spatial association network, while differences in geographical distance, population density, and Engel coefficient act as barriers. Based on these findings, suggestions are proposed to optimize the IDHCES.
JOURNAL OF COMBINATORIAL OPTIMIZATION
(2023)
Article
Mathematics
Dilshad Alghazzawi, Maryam Liaqat, Abdul Razaq, Hanan Alolaiyan, Umer Shuaib, Jia-Bao Liu
Summary: In this study, the authors address the critical need for accurate decision-making tools in diagnosing cardiovascular disease. They propose complex intuitionistic fuzzy dynamic weighted averaging and geometric operators and introduce an enhanced score function to handle complex intuitionistic fuzzy data. These operators are then used in a systematic approach for multiple attribute decision-making scenarios and specifically applied to diagnosing cardiovascular disease. The authors also conduct a comprehensive comparative analysis to demonstrate the reliability and stability of their proposed methods.
Article
Computer Science, Artificial Intelligence
Xiang Shi, Yinpeng Liu, Jiawei Liu, Qikai Cheng, Wei Lu
Summary: Scientific papers are crucial for academic communication, but many of them lack in-depth research and present core content ambiguously, hindering the progression of science and technology. To address this challenge, the INTEGrity vERification (INTEGER) task is introduced to help researchers assess the integrity of their papers and verify the clarity of each knowledge unit. A multi-task learning model utilizing Tucker decomposition and span-level attention mechanism is proposed to accurately identify terms and their integrity. Experimental results show the effectiveness of the model.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
