Computational optimization of associative learning experiments. by Filip Melinscak, Dominik R Bach

“…Associative learning theory has a rich tradition of computational modeling, resulting in a growing space of increasingly complex models, which in turn renders manual design of informative experiments difficult. …”
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The <i>Search-o-Sort</i> Theory by Anurag Dutta, Sanjeev Kumar, Deepkiran Munjal, Pijush Kanti Kumar

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Bayesian Computation Methods for Inference in Stochastic Kinetic Models by Eugenia Koblents, Inés P. Mariño, Joaquín Míguez

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Quantum Mechanics MP2 and CASSCF Study of Coordinate Quasi-Double Bonds in Cobalt(II) Complexes as Single Molecule Magnets by Yuemin Liu, Salah S. Massoud, Oleg N. Starovoytov, Tariq Altalhi, Yunxiang Gao, Boris I. Yakobson

“…Co(II) complexes have shown promising applications as single-molecule magnets (SMMs) in quantum computing and structural biology. …”
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Percolation Theories for Multipartite Networked Systems under Random Failures by Qing Cai, Sameer Alam, Mahardhika Pratama, Zhen Wang

“…Percolation theories have proven as one of the most effective ways for assessing the robustness of complex systems. …”
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Quasithermal Noise in Magnetized Plasma: Theory and Simulations by Xianming Zheng, Mihailo M. Martinović, Kristopher G. Klein, Viviane Pierrard, Mingzhe Liu, Xianghui Xue, Shi Tao, Kun Cheng, Han Wu, Bingkun Yu

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Dynamical correlation functions in the Ising field theory by István Csépányi, Márton Kormos

“…We develop a method to compute the correlation functions at time-like separations based on the analytic continuation of the space-time coordinates to complex values. …”
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A new theory of tree sap flow by András Török, Anikó Anna Hajduné Kubovje, Balázs Hardi, Ralf Bergmann, Krisztián Szigeti, Domokos Máthé, Imre Hegedüs

“…Complex physiological, biochemical, and biophysical processes may be behind the operation of the pipe system.…”
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Optimization Model for Safeguarding Vulnerable Components in Integrated Energy Systems Based on Weighted Betweenness by ZHANG Chenwei, WANG Ying, LI Yaping, ZHANG Kaifeng

“…Utilizing the complex network theory to mitigate vulnerabilities mitigation in integrated energy systems is significant for enhancing the resilience of sustained energy supply, especially against deliberate physical attacks and natural disasters. …”
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Information-Theoretic Sequential Framework to Elicit Dynamic High-Order Interactions in High-Dimensional Network Processes by Helder Pinto, Yuri Antonacci, Gorana Mijatovic, Laura Sparacino, Sebastiano Stramaglia, Luca Faes, Ana Paula Rocha

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Spectroscopic Characterization Using ¹H and ¹³C Nuclear Magnetic Resonance and Computational Analysis of the Complex of Donepezil with 2,6-Methyl-β-Cyclodextr... by Nikoletta Zoupanou, Paraskevi Papakyriakopoulou, Nikitas Georgiou, Antigoni Cheilari, Uroš Javornik, Peter Podbevsek, Demeter Tzeli, Georgia Valsami, Thomas Mavromoustakos

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Predictability problems of global change as seen through natural systems complexity description. 2. Approach by Vladimir V. Kozoderov, Victor A. Sadovnichii, Sergey A. Ushakov, Oleg A. Timoshin

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Entropy measures for quantifying complexity in digital pathology and spatial omics by Xiao Li, Xuehan Ren, Raghavan Venugopal

“…Summary: Entropy, a cornerstone of information theory, quantifies disorder, heterogeneity, and complexity in biological systems. …”
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The Role of the “Informational Turn” While Shaping a Modern IT Personality’s Scientific Worldview by Olga Korchazhkina

“…Nevertheless, Cybernetics, Information Theory and Computer Science as sources of the most powerful tools for working with information resources, organizing educational and professional activities and as fundamental disciplines in shaping the modern picture of the world, will not exhaust their potential for a long time. …”
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Emerging opportunities and challenges for the future of reservoir computing by Min Yan, Can Huang, Peter Bienstman, Peter Tino, Wei Lin, Jie Sun

“…Abstract Reservoir computing originates in the early 2000s, the core idea being to utilize dynamical systems as reservoirs (nonlinear generalizations of standard bases) to adaptively learn spatiotemporal features and hidden patterns in complex time series. …”
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Multi-Agent Reinforcement Learning in Games: Research and Applications by Haiyang Li, Ping Yang, Weidong Liu, Shaoqiang Yan, Xinyi Zhang, Donglin Zhu

“…Inspired by these phenomena, this study investigates how bio-inspired computing principles can bridge game-theoretic rationality and multi-agent adaptability. …”
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Game Theory Based Trust Model for Cloud Environment by K. Gokulnath, Rhymend Uthariaraj

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Theory on the coupled stochastic dynamics of transcription and splice-site recognition. by Rajamanickam Murugan, Gabriel Kreiman

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Phylogenetic diversity theory sheds light on the structure of microbial communities. by James P O'Dwyer, Steven W Kembel, Jessica L Green

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Field theory aspects of η-deformed superstring background by Dibakar Roychowdhury

“…These include the computation of holographic timelike entanglement entropy and estimation of various other field theory observables for example, the flow central charge and the quantum complexity. …”
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