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  1. 2261
    “…Many complex systems operating far from the equilibrium exhibit stochastic dynamics that can be described by a Langevin equation. …”
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    Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories
  2. 2262
    “…Ecological communities and other complex systems can undergo abrupt and long‐lasting reorganization, a regime shift, when deterministic or stochastic factors bring them to the vicinity of a tipping point between alternative states. …”
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    Probabilistic early warning signals
  3. 2263
    “…The relationship between network structure and dynamics is one of the most extensively investigated problems in the theory of complex systems of recent years. Understanding this relationship is of relevance to a range of disciplines—from neuroscience to geomorphology. …”
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    Two classes of functional connectivity in dynamical processes in networks
  4. 2264
    “…However, because anomalous diffusion processes in complex systems are usually not stationary, the traditional Wiener-Khinchin theorem for the analysis of power spectral densities is invalid. …”
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    Aging power spectrum of membrane protein transport and other subordinated random walks
  5. 2265
    “…We focus especially on both enhanced sampling methods, which enable the exploration of more complex systems and access to larger time scales, and free energy calculation approaches. …”
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    Fighting Against Bacterial Lipopolysaccharide-Caused Infections through Molecular Dynamics Simulations: A Review
  6. 2266
    “…Network theory helps us understand, analyze, model, and design various complex systems. Complex networks encode the complex topology and structural interactions of various systems in nature. …”
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    Deciphering the generating rules and functionalities of complex networks
  7. 2267
    “…One of the great challenges in microbial metabolomics is related to applications in more complex systems of metabolomics information obtained from studies carried out in culture media, as complications may occur due to the dynamic nature of biological systems. …”
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    Mapping Aspergillus niger Metabolite Biomarkers for In Situ and Early Evaluation of Table Grapes Contamination
  8. 2268
    “…Based upon these results, we describe a potential strategy for implementation of GENEWRITE in more complex systems.…”
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    Targeted insertion of large genetic payloads using cas directed LINE-1 reverse transcriptase
  9. 2269
    “…Although such optimal control problems can be formulated within the framework of variational calculus, their solution for complex systems is often analytically and computationally intractable. …”
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    AI Pontryagin or how artificial neural networks learn to control dynamical systems
  10. 2270
    “…Our theory also elucidates the phenomenon of emergent virtual loops and provides a novel methodology for exploring the dynamically rich structure of complex systems.…”
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    The shape of memory in temporal networks
  11. 2271
    “…This approach may have serious limitations due to the instability of such complex systems under in vivo conditions. METHODS: The core-shell polyelectrolyte nanocarriers were intravenously administered to healthy BALB/c mice with breast cancer. …”
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    Fluorophore Localization Determines the Results of Biodistribution of Core-Shell Nanocarriers
  12. 2272
    por Alba, Josephine, D’Abramo, Marco
    Publicado 2022
    “…To describe the conformational behavior associated with the unbound and the bound states, all-atom Molecular Dynamics simulations were performed for the TCR:CD3 complex and for two pMHC:TCR:CD3 complex systems, bound to two different peptides. Our data point out that a conformational change affecting the TCR Constant β (Cβ) region occurs after the binding to the pMHC, revealing a key role of this region in the propagation of the signal. …”
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    The Full Model of the pMHC-TCR-CD3 Complex: A Structural and Dynamical Characterization of Bound and Unbound States
  13. 2273
    “…These issues make the FEP, as it stands, not straightforwardly applicable to the simple linear systems studied here and suggest that more development is needed before the theory could be applied to the kind of complex systems that describe living and cognitive processes.…”
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    How particular is the physics of the free energy principle?
  14. 2274
    “…The necessity of interpretability is often related to the evaluation of performances in complex systems and the acceptance of agents’ automatization processes where critical high-risk decisions have to be taken. …”
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    Graph-Powered Interpretable Machine Learning Models for Abnormality Detection in Ego-Things Network
  15. 2275
    “…Virtually anything can be and is ranked; people, institutions, countries, words, genes. Rankings reduce complex systems to ordered lists, reflecting the ability of their elements to perform relevant functions, and are being used from socioeconomic policy to knowledge extraction. …”
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    Dynamics of ranking
  16. 2276
    “…One contributing factor is the “Princess and the Pea” problem, which refers to how an initially significant effect size dissipates as research transitions to more complex systems. This work aimed to quantify the effects of spreading variability on sample size requirements. …”
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    A quantitative approach to the spread of variance in translational research using Monte Carlo simulation
  17. 2277
    “…In particular, many complex systems in Ecology are studied by this approach. …”
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    Global structural stability and the role of cooperation in mutualistic systems
  18. 2278
    “…The integration of computational bio-modelling approaches with different hybrid network-based techniques provides additional information about the behaviour of complex systems. With increasing advances in high-throughput technologies in biological research, attempts have been made to incorporate this information into network structures, which has led to a continuous update of network biology approaches over time. …”
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    Emerging landscape of molecular interaction networks: Opportunities, challenges and prospects
  19. 2279
    por Torres, Joaquin J., Marro, Joaquín
    Publicado 2022
    “…In parallel, theoretical and computational studies developed to understand many natural and artificial complex systems, which have truthfully explained their amazing emergent features and precise the role of the interaction dynamics and other conditions behind the different collective phenomena they happen to display. …”
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    Physics Clues on the Mind Substrate and Attributes
  20. 2280
    “…Uncertainty quantification is a formal paradigm of statistical estimation that aims to account for all uncertainties inherent in the modelling process of real-world complex systems. The methods are directly applicable to stochastic models in epidemiology, however they have thus far not been widely used in this context. …”
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    Complex model calibration through emulation, a worked example for a stochastic epidemic model
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