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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Computational Role of Autocatalytic Chemical Reaction in the Dynamics of a Ternary Hybrid Nanofluid Past a Rotating Stretching Surface by Shreedevi Madiwal, N. B. Naduvinamani, J. K. Madhukesh, Umair Khan, Anuar Ishak, Raman Kumar, Md Irfanul Haque Siddiqui

“…An essential aspect of understanding complex systems is studying the interplay between fluid movement, heat transport, and chemical processes. …”
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Integration of a Heterogeneous Battery Energy Storage System into the Puducherry Smart Grid with Time-Varying Loads by M A Sasi Bhushan, M. Sudhakaran, Sattianadan Dasarathan, Mariappane E

“…Adopting an MPC-based algorithm design framework enables the development of an effective control strategy for complex systems. The proposed MPC methodology was implemented and tested on the Indian Utility 29 Node Distribution Network (IU29NDN) using the DIgSILENT Power Factory environment. …”
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A Configurable Semantic-Based Transformation Method towards Conceptual Models by Tiexin Wang, Jingwen Cao, Chuanqi Tao, Zhibin Yang, Yi Wu, Bohan Li

“…Conceptual models are built to depict and analyze complex systems. They are made of concepts and relationships among these concepts. …”
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A FSTCN-Based Leak Detection Method for Large-Scale Pipeline Transportation Systems by Du Zhang, Chang-Su Kim, Chul-Hyun Hwang, Tae-Jun Lee, Hoe-Kyung Jung

“…Time series-based studies are widely used for leak detection in large-scale pipeline transportation systems, but single time-domain information, which ignores the spatial distribution of pressure sensors and does not consider periodic features, may not be sufficient for the detection accuracy of complex systems. To address it, a leak detection method based on frequency spatial-temporal convolution network (FSTCN) is proposed in this paper. …”
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Design Optimization for Vibration Reduction of Viscoelastic Damped Structures Using Genetic Algorithms by Zhengchao Xie, W. Steve Shepard Jr., Keith A. Woodbury

“…Due to the large number of design variables that can be present in complex systems incorporating visco-elastic damping, this work examines the application of genetic algorithms in optimizing the response of these structures. …”
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A multidimensional approach to quantum state tomography of photoelectron wavepackets by H. Laurell, J. Baños-Gutiérrez, A. L’Huillier, D. Busto, D. Finkelstein-Shapiro

“…Abstract There is a growing interest in reconstructing the density matrix of photoelectron wavepackets, in particular in complex systems where decoherence can be introduced either by a partial measurement of the system or through coupling with a stochastic environment. …”
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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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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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Principle of Virtual Work as Foundational Framework for Metamaterial Discovery and Rational Design by dell’Isola, Francesco, Misra, Anil

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Analysis of International Competitiveness of Multinational Corporations Based on Rough Sets by Jing Zhao, Ning Qi

“…Therefore, the theory of rough set is helpful for decision-makers to solve the decision problems of complex systems. The simplification of knowledge of information systems and incomplete information systems and the theoretical and methodological study of rule acquisition are the central issues of rough set theory and applied research. …”
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Exploring the Inducement for Social Awareness Behavior and Optimal Control Strategy on Nipah Virus Transmission by Saima Efat, K. M. Ariful Kabir

“…Optimal control theory and evolutionary game theory are essential tools for comprehending and influencing the intricate behaviors of complex systems, particularly in the context of disease transmission and strategies for intervention. …”
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Complex support of technological development of environmentally friendly toilet systems in passenger trains by S. P. Kiseleva, O. V. Kanunnikov, G. A. Arakelova, P. V. Zozulya

“…For the effective functioning of the environmentally friendly toilet complexes system of transport systems, the authors propose to use organizational and methodological tools that will allow you to systematically determine the actual level of technological development of the fecal waste disposal system of the environmentally friendly toilet complexes of passenger trains, to develop directions and measures to improve its  environmental and economic efficiency.…”
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Noncontact Knee Ligament Injury Prevention Screening in Netball: A Clinical Commentary with Clinical Practice Suggestions for Community-Level Players by Nicholas C Clark

“…The theoretical principles that are discussed in this commentary include injury control, the sequence of prevention, principles of screening in injury prevention, the multifactorial model of injury etiology, complex systems theory, and systems science. The different types of research that are reviewed include descriptive and analytic-observational studies. …”
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Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson’s disease by Eva Výtvarová, Martin Lamoš, Jaroslav Hlinka, Sabina Goldemundová, Ivan Rektor, Martina Bočková

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Observation of magnetic skyrmion lattice in Cr0.82Mn0.18Ge by small-angle neutron scattering by Victor Ukleev, Tapas Samanta, Oleg I. Utesov, Jonathan S. White, Luana Caron

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The Effectiveness of a Nondiet Multidisciplinary Weight Reduction Program for Severe Overweight Patients with Psychological Comorbidities by Bettina Bannert, Wolfgang Schobersberger, Ulrich Tran, Andreas Remmel

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