Quantum Fuzzy Inference Engine for Particle Accelerator Control by Giovanni Acampora, Michele Grossi, Michael Schenk, Roberto Schiattarella

“…However, there are no practical demonstrations that the QFIE can be used to efficiently manage complex systems. This article bridges this gap by using, for the very first time, the QFIE to control critical systems such as those related to particle accelerator facilities at the European Organization for Nuclear Research (CERN). …”
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Local polar order controls mechanical stress and triggers layer formation in Myxococcus xanthus colonies by Endao Han, Chenyi Fei, Ricard Alert, Katherine Copenhagen, Matthias D. Koch, Ned S. Wingreen, Joshua W. Shaevitz

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Bio‐Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics by Elvis K. Boahen, Hyukmin Kweon, Hayoung Oh, Ji Hong Kim, Hayoung Lim, Do Hwan Kim

“…The discussion extends to the emulation of biological perception via artificial synapses and concludes with future perspectives and challenges in neuromorphic system development, emphasizing the need for a deeper understanding of neural network processing to innovate and refine these complex systems.…”
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Analysis of City Energy Systems Modeling Case Studies: A Systematic Review by Kushagra Gupta, Erik O. Ahlgren

“…City energy systems are complex systems including interactions and interdependencies, as well as the specifics of the local city context. …”
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A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents by Zhen Zhang, Dongqing Wang, Dongbin Zhao, Qiaoni Han, Tingting Song

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BurstBiRank: Co-Ranking Developers and Projects in GitHub with Complex Network Structures and Bursty Interactions by Dengcheng Yan, Zhen Shao, Yiwen Zhang, Bin Qi

“…Like the functionalities of critical nodes in other complex systems, influential developers and projects usually play an important role in driving this technical system to more optimized states with higher efficiency for software development, which makes it a meaningful research direction on identifying influential developers and projects in social collaborative coding platforms. …”
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Topological Structure of Manufacturing Industry Supply Chain Networks by Supun S. Perera, Michael G. H. Bell, Mahendrarajah Piraveenan, Dharshana Kasthurirathna, Mamata Parhi

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Transmission dynamics and optimal control of brucellosis in Inner Mongolia of China by Linhua Zhou, Meng Fan, Qiang Hou, Zhen Jin, Xiangdong Sun

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Optimization Model and Method of Variable Speed Limit for Urban Expressway by Shubin Li, Tao Wang, Hualing Ren, Baiying Shi, Xiangke Kong

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VARX Granger analysis: Models for neuroscience, physiology, sociology and econometrics. by Lucas C Parra, Aimar Silvan, Maximilian Nentwich, Jens Madsen, Vera E Parra, Behtash Babadi

“…Complex systems, such as in brains, markets, and societies, exhibit internal dynamics influenced by external factors. …”
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The systemic evolutionary theory of the origin of cancer (SETOC): an update by Antonio Mazzocca, Giovanni Ferraro, Giovanni Misciagna

“…Abstract The Systemic Evolutionary Theory of the Origin of Cancer (SETOC) is a recently proposed theory founded on two primary principles: the cooperative and endosymbiotic process of cell evolution as described by Lynn Margulis, and the integration of complex systems operating in eukaryotic cells, which is a core concept in systems biology. …”
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A Systematic Analysis and Experimental Verification of Joint Pricing and Inventory Strategies in Competitive Newsvendor Environments by Mengmeng Shi, Yue Liu, Shaohui Wu

“…This research provides insights into decision biases in complex systems and practical guidance for project planning and management.…”
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Simulating Intraurban Land Use Dynamics under Multiple Scenarios Based on Fuzzy Cellular Automata: A Case Study of Jinzhou District, Dalian by Jun Yang, Weiling Liu, Yonghua Li, Xueming Li, Quansheng Ge

“…Under the 5 m × 5 m scale, the model shows good performance for simulation of areas with various land use types. (2) Among simulations under four scenarios, the effect of traffic guidance on the development of construction land was more distinct under the economic development mode, which clearly showed the phenomenon of “agglomeration” along major traffic lines. (3) Jinshitan Street is adjacent to the sea, and land use changes are significant under the 4th scenario, and thus related departments should pay more attention. (4) Shortcomings of conventional cellular automata model in processing complex systems could be mitigated through the integration of fuzzy sets.…”
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A Digital Twin Framework to Improve Urban Sustainability and Resiliency: The Case Study of Venice by Lorenzo Villani, Luca Gugliermetti, Maria Antonia Barucco, Federico Cinquepalmi

“…Digital Twin (DT) technology can promote this transition at an urban scale due to its ability to monitor, control, and predict the behaviour of complex systems and processes. As several scientific studies have shown, DTs can be developed for infrastructure and city management, facing the challenges of global changes. …”
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Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

“…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
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Hypernetwork link prediction method based on the SCL-CMM model by REN Yuyuan, MA Hong, LIU Shuxin, WANG Kai

“…Hypernetwork link prediction, which involves predicting unknown hyperlinks based on the observed hypergraph structure, has increasingly become a hot topic in network science due to its capacity to fully describe the association patterns of complex systems. Existing methods typically design reasoning models for the entire topology, often overlooking the implicit aggregation characteristics within the network, which leads to an incomplete prediction of hyperlink categories. …”
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Inference of Wildfire Causes From Their Physical, Biological, Social and Management Attributes by Yavar Pourmohamad, John T. Abatzoglou, Erica Fleishman, Karen C. Short, Jacquelyn Shuman, Amir AghaKouchak, Matthew Williamson, Seyd Teymoor Seydi, Mojtaba Sadegh

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ImageDoubler: image-based doublet identification in single-cell sequencing by Kaiwen Deng, Xinya Xu, Manqi Zhou, Hongyang Li, Evan T. Keller, Gregory Shelley, Annie Lu, Lana Garmire, Yuanfang Guan

“…Abstract Single-cell sequencing provides detailed insights into individual cell behaviors within complex systems based on the assumption that each cell is uniquely isolated. …”
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Education of the Post-Industrial Era: Setting on Person and Intelligence by O. K. Krokinskaya

“…It is characterized by the fundamental ambiguity of circumstances and tendencies when centralized management of complex systems is difficult or erroneous, and this makes it necessary to reduce the level of decision making to self-organizing local social forms, giving them greater autonomy, in this case – to an individual and his autonomy. …”
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Research motivation as a mediating variable between system intelligence, academic grit, and academic achievement among postgraduate students, faculty of education, Zagazig Universi... by Marwa Hamdy Helal, ElSayed Abohashem Hassan

“…Understanding how to effectively navigate these complex systems requires investigation into key factors, particularly system intelligence. …”
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