A Polynomial-Time Algorithm for Detection of Uncovered Transitions in a Petri Net-Based Concurrent System by Marcin Wojnakowski, Maxim Maliński, Remigiusz Wiśniewski, Andrzej Obuchowicz, Zhiwu Li, Dawid Konarczak

“…Transition invariants play a crucial role in ensuring the correctness and reliability of such systems; however, existing methods often struggle with high computational demand, especially in the case of large and complex systems. The proposed approach addresses this challenge by performing a fast polynomial-time analysis to identify uncovered transitions, thereby streamlining the verification process. …”
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Development and Complex Dynamics at School Environment by Miguel Angel Fuentes, Juan Pablo Cárdenas, Natalia Carro, Mariana Lozada

“…In this work we use complex systems methodologies to analyze quantitatively the impact of an intervention involving cooperative and self-awareness activities on social interactions in children. …”
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Toward a physics-guided machine learning approach for predicting chaotic systems dynamics by Liu Feng, Yang Liu, Benyun Shi, Jiming Liu

“…Such predictions provide quantitative insights into the future behaviors of these complex systems, thereby guiding the decision-making and planning within the respective fields. …”
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Effect of <i>Satureja montana</i> Essential Oil on Model Lipid Membranes by Simona Sennato, Silvia Trabalzini, Maria Gioia Fabiano, Domenico Truzzolillo, Edouard Chauveau, Cecilia Bombelli, Federica Rinaldi, Maria Carafa

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Novel Framework for Artificial Bubble Image Generation and Boundary Detection Using Superformula Regression and Computer Vision Techniques by Pavel Mikushin, Nickolay Martynenko, Irina Nizovtseva, Ksenia Makhaeva, Margarita Nikishina, Dmitrii Chernushkin, Sergey Lezhnin, Ilya Starodumov

“…While neural networks achieve a higher accuracy, they require extensive annotated datasets, and classical methods often struggle with complex systems due to their lower accuracy. This study proposes a novel framework to address these limitations. …”
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Enhancing Countries’ Fitness with Recommender Systems on the International Trade Network by Hao Liao, Xiao-Min Huang, Xing-Tong Wu, Ming-Kai Liu, Alexandre Vidmer, Ming-Yang Zhou, Yi-Cheng Zhang

“…Prediction is one of the major challenges in complex systems. The prediction methods have shown to be effective predictors of the evolution of networks. …”
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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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Photonics-based modular multistate digital coherent system by I. V. Unchenko, A. A. Emelyanov

“…Due to their broadbandness and complementary structure, modules and submodules have many applications both as self-sustained devices and as part of more complex systems.Results. Functional diagrams of modern digital receiver-shapers, as well as modules for amplifying radio frequency signals and converting radio frequency signals into an optical signal are presented along with a radio photonic synchronization network for generating clock signals. …”
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Consequences of non-Markovian healing processes on epidemic models with recurrent infections on networks by José Carlos M Silva, Diogo H Silva, Francisco A Rodrigues, Silvio C Ferreira

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Revealing joint evolutions and causal interactions in complex ecohydrological systems by a network-based framework by L. Wang, H. Gu, L. Liu, X. Liang, S. Chen, Y.-P. Xu

“…This study develops a novel framework based on network analysis alongside satellite data and in situ observations to delineate the joint evolutions (phenomena) and causal interactions (mechanisms) in complex systems. The former employs correlations, and the latter uses physically constrained causality analysis to construct network relationships. …”
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Bridging the gap: From petri dish to patient - Advancements in translational drug discovery by Mohamed El-Tanani, Syed Arman Rabbani, Yahia El-Tanani, Ismail I. Matalka, Ikramy A. Khalil

“…The journey from ''bench to bedside'' is fraught with challenges and complexities such as the often-observed disparity between how compounds behave in a laboratory setting versus in the complex systems of living organisms. The challenge is further compounded by the limited ability of in vitro models to mimic the specific biochemical environment of human tissues. …”
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Using systems mapping within the process evaluation of a randomised controlled trial of the ACE active ageing programme in England and Wales by Helen Hawley-Hague, Colin Greaves, Diane Crone, Afroditi Stathi, Nick Cavill, Amy Davies, Katie E Chatwin, Zsofia Szekeres, Janet Withall, Janice Thompson

“…Background System mapping has mainly been used to develop theories and understanding of complex systems; to hypothesise how an intervention might work in a complex system or to inform intervention development. …”
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Reducing the Delay Time and Tracking Trajectory of the Robot SCARA Using the Fractional PID Controller by Yassine Bensafia, Abdelhakim Idir, Khatir Khettab

“…Despite its effectiveness, the conventional PID controller often faces limitations in complex systems requiring high precision and adaptive dynamics. …”
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Segregation-dislocation self-organized structures ductilize a work-hardened medium entropy alloy by Bojing Guo, Dingcong Cui, Qingfeng Wu, Yuemin Ma, Daixiu Wei, Kumara L. S. R, Yashan Zhang, Chenbo Xu, Zhijun Wang, Junjie Li, Xin Lin, Jincheng Wang, Xun-li Wang, Feng He

“…Inspired by the self-organized critical states of non-equilibrium complex systems in nature, we explored the mechanical response of an additively manufactured medium entropy alloy with segregation-dislocation self-organized structures (SD-SOS). …”
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Applying Modelica Tools to System Dynamics Based Learning Games: Project Management Game by Tuomas Miettinen, Juho Salmi, Kunal Gupta, Jussi Koskela, Janne Kauttio, Tommi Karhela, Sampsa Ruutu

“…The simulation model utilises system dynamics, which is a methodology for understanding the behaviour of dynamic complex systems of different domains using modelling and simulation. …”
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Presenting a comprehensive multi-scale evaluation framework for participatory modelling programs: A scoping review. by Grace Yeeun Lee, Ian Bernard Hickie, Jo-An Occhipinti, Yun Ju Christine Song, Adam Skinner, Salvador Camacho, Kenny Lawson, Adriane Martin Hilber, Louise Freebairn

“…<h4>Introduction</h4>Systems modelling and simulation can improve understanding of complex systems to support decision making, better managing system challenges. …”
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Investigating Feed-Forward Back-Propagation Neural Network with Different Hyperparameters for Inverse Kinematics of a 2-DoF Robotic Manipulator: A Comparative Study by Rania Bouzid, Jyotindra Narayan, Hassène Gritli

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Model-agnostic neural mean field with a data-driven transfer function by Alex Spaeth, David Haussler, Mircea Teodorescu

“…As one of the most complex systems known to science, modeling brain behavior and function is both fascinating and extremely difficult. …”
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Identification of new ClpC1-NTD binders for Mycobacterium tuberculosis drug development by Katharina Weinhäupl, Louis Meuret, Sandy Desrat, Fanny Roussy, Nelly Morellet, Sandra Beaupierre, Catherine Guillou, Carine van Heijenoort, Olga Abian, Sonia Vega, Ian Wolf, Tatos Akopian, Olga Krandor, Eric Rubin, Adrian Velazquez-Campoy, Diego Gauto, Hugo Fraga

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Ion homeostasis in the regulation of intracellular pH and volume of human erythrocytes by О. І. Доценко, Г. В. Тарадіна

“…However, cells are incredibly complex systems with numerous, often competing, reactions occurring simultaneously. …”
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