Projected loss of rock glacier habitat in the contiguous western United States with warming by Abigail C. Lute, John T. Abatzoglou, Andrew G. Fountain, Timothy C. Bartholomaus

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An Expository Examination of Temporally Evolving Graph-Based Approaches for the Visual Investigation of Autonomous Driving by Li Wan, Wenzhi Cheng

“…Time-varying diagrams can be used to model and visualize the dynamic relationships in various complex systems and can visually describe the data trends in autonomous driving systems. …”
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Partial substitution of coal with palm kernel in cement kilns: effects on cement production and quality by Kalamba Harlene Tshibola, Bolanle Deborah Ikotun, Bilal Patel

“… The production of Portland cement is a complex process involving several chemical reactions and different materials, complex systems, and high temperatures (up to 1500 °C). …”
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“REDISCOVERY” OF KNOWLEDGE ABOUT THE FUTURE: PERSPECTIVES OF RUSSIA’S SECURITY UP TO 2050 by S. A. Kravchenko, A. I. Podberezkin

“…The article deals with the dynamics of knowledge about the future, factors that determine the need for its »rediscovery« today, among which: the transition of mankind to the dominance of non-linear development; the destruction by globalization of the natural boundaries of civilizational formations, which led to direct interaction of local human civilizations and new conflicts between them; the formation of a unified socio-techno-natural reality; the emergence of complex systems potentially predisposed to the production of catastrophes disasters. …”
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Variational Methods in Optical Quantum Machine Learning by Marco Simonetti, Damiano Perri, Osvaldo Gervasi

“…Quantum Computing and Quantum Machine Learning have opened up new possibilities, providing unprecedented computational power and problem-solving capabilities while offering a deeper understanding of complex systems. Our research proposes new variational methods based on a deep learning system based on an optical quantum neural network applied to Machine Learning models for point classification. …”
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Exploring the transition to agroforestry for smallholder farmers: a feasibility study for the Ashanti region of Ghana by Youp Dumas, Jolien Ubacht, Ellen van Andel, Lily Akorfa Keledorme

“…In this research, we adopted a complex systems perspective to analyse the institutional, social, and technical aspects that play a role in such a transition. …”
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An Active Inference Model of the Optimism Bias by Elizabeth L. Fisher, Christopher J. Whyte, Jakob Hohwy

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Testing the Strength of Chaotic Systems as Seeds in a Pseudo Random Bit Generator by Lazaros Moysis, Marcin Lawnik, Christos Volos, Murilo S. Baptista, Sotirios K. Goudos, George F. Fragulis

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A Finite Element Method for Modeling Diffusion and Drug Release from Nanocellulose/Nanoporous Silicon Composites by Paulo Zúñiga, Marcelo Aravena, Silvia Ponce, Jacobo Hernandez-Montelongo

“…The findings suggest that the FE method can be effectively applied to model other complex systems, paving the way for advancements in precision drug delivery and broader biomedical applications.…”
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Simulation modeling tools in training environmental science students by А. G. Kot, A. B. Achasov, O. Yu. Seliverstov, V. G. Karpov

“…The use of computer modeling and forecasting for the analysis and prediction of complex systemic processes, particularly in the field of environmental protection, is extremely important. …”
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From the guest editors by Gerardo Chowell, Zhilan Feng, Baojun Song

“…His research program is at the interface of the mathematical and natural and social sciences with emphasis on (i) the role of dynamic social landscapes on disease dispersal; (ii) the role of environmental and social structures on the dynamics of addiction and disease evolution, and (iii) Dynamics of complex systems at the interphase of ecology, epidemiology and the social sciences. …”
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Adaptive algorithms for change point detection in financial time series by Alexander Musaev, Dmitry Grigoriev, Maxim Kolosov

“…The results underscore the importance of adapting detection models to the specific characteristics of chaotic data, offering practical solutions for improving decision-making in complex systems. Key findings reveal that while no universal solution exists for detecting change points in chaotic time series, integrating machine learning and multivariate approaches allows for more robust and adaptive forecasting models. …”
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An evolution model for the mobility of urban societal classes based on complex networks by Yi-Hua Zhou, Liang-Li Yang, Jieqi Lei, Rui-Jie Wu, Yi-Xiu Kong

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Complexity in Individual Trajectories toward Online Extremism by Z. Cao, M. Zheng, Y. Vorobyeva, C. Song, N. F. Johnson

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Self-organized criticality and urban development by Michael Batty, Yichun Xie

“…To describe and measure this transition, we introduce a new theory based on the concept that large-scale, complex systems composed of many interacting elements, show a surprising degree of resilience to change, holding themselves at critical levels for long periods until conditions emerge which move the system, often abruptly, to a new threshold. …”
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Unravelling the nonlinear generation of designer vortices with dielectric metasurfaces by Laure Coudrat, Guillaume Boulliard, Jean-Michel Gérard, Aristide Lemaître, Aloyse Degiron, Giuseppe Leo

“…While their generation in bulky optical devices limits their use in integrated complex systems, metasurfaces have recently proven successful in creating optical vortices, especially in the linear regime. …”
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Depth Penetration and Scope Extension of Failures in the Cascading of Multilayer Networks by Wen-Jun Jiang, Run-Ran Liu, Chun-Xiao Jia

“…Real-world complex systems always interact with each other, which causes these systems to collapse in an avalanche or cascading manner in the case of random failures or malicious attacks. …”
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miR-203 Expression in Exfoliated Cells of Tongue Coating Represents a Sensitive and Specific Biomarker of Gastroesophageal Reflux Disease by Xiuli Yan, Shengliang Zhu, Hui Zhang

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Optimal Bus-Bridging Service under a Metro Station Disruption by Haodong Yin, Jianjun Wu, Huijun Sun, Yunchao Qu, Xin Yang, Bo Wang

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Testing convolutional neural network based deep learning systems: a statistical metamorphic approach by Faqeer ur Rehman, Clemente Izurieta

“…Metamorphic testing (MT) is considered a simple but very powerful approach in testing such computationally complex systems for which either an oracle is not available or is available but difficult to apply. …”
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