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  1. 2161
    “…The past two decades have seen an upsurge of interest in the collective behaviors of complex systems composed of many agents entrained to each other and to external events. …”
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    Timescales of Massive Human Entrainment
  2. 2162
    “…Models are valuable tools to assess how deeply we understand complex systems: only if we are able to replicate the output of a system based on the function of its subcomponents can we assume that we have probably grasped its principles of operation. …”
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    Modeling auditory coding: from sound to spikes
  3. 2163
    “…This has allowed for the simulation of ever larger and more complex systems. However, as such complexity increases, the requirements needed for these models to be accurate and physically meaningful become more and more difficult to fulfill. …”
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    Recent advances in QM/MM free energy calculations using reference potentials()
  4. 2164
    “…Our results demonstrate the potential for rational design of minimally toxic vitrification procedures and pave the way for extension of our optimization approach to other adherent cell types as well as more complex systems such as tissues and organs.…”
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    Toxicity Minimized Cryoprotectant Addition and Removal Procedures for Adherent Endothelial Cells
  5. 2165
    “…Pluripotent stem cells possess complex systems that protect them from oxidative stress and ensure genomic stability, vital for their role in development. …”
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    Manganese Superoxide Dismutase Gene Expression Is Induced by Nanog and Oct4, Essential Pluripotent Stem Cells’ Transcription Factors
  6. 2166
    “…Network modeling is a flexible mathematical structure that enables to identify statistical regularities and structural principles hidden in complex systems. The majority of recent driving forces in modeling complex networks are originated from activity, in which an activity potential of a time invariant function is introduced to identify agents’ interactions and to construct an activity-driven model. …”
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    AST: Activity-Security-Trust driven modeling of time varying networks
  7. 2167
    “…Quantitative descriptions of network structure can provide fundamental insights into the function of interconnected complex systems. Small-world structure, diagnosed by high local clustering yet short average path length between any two nodes, promotes information flow in coupled systems, a key function that can differ across conditions or between groups. …”
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    Small-World Propensity and Weighted Brain Networks
  8. 2168
    “…Understanding the topology of these molecular interaction networks and identifying the molecules that play central roles in their structure and regulation is a key to understanding complex systems. The falling cost of next-generation sequencing is now enabling researchers to routinely catalogue the molecular components of these networks at a genome-wide scale and over a large number of different conditions. …”
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    Using biological networks to integrate, visualize and analyze genomics data
  9. 2169
    “…Understanding the role of protein turnover in the maintenance of proteostasis requires accurate measurements of the rates of replacement of proteins in complex systems, such as intact animals. Moreover, any investigation of allometric scaling of protein turnover is likely to include species for which fully annotated proteomes are not available. …”
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    Proteome Dynamics: Tissue Variation in the Kinetics of Proteostasis in Intact Animals
  10. 2170
    “…In many social complex systems, in which agents are linked by non-linear interactions, the history of events strongly influences the whole network dynamics. …”
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    Fractional Dynamics of Network Growth Constrained by Aging Node Interactions
  11. 2171
    “…Random lasers have been recently exploited as a photonic platform for studies of complex systems. This cross-disciplinary approach opened up new important avenues for the understanding of random-laser behavior, including Lévy-type distributions of strong intensity fluctuations and phase transitions to a photonic spin-glass phase. …”
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    Observation of Lévy distribution and replica symmetry breaking in random lasers from a single set of measurements
  12. 2172
    “…Identifying causal relations from time series is the first step to understanding the behavior of complex systems. Although many methods have been proposed, few papers have applied multiple methods together to detect causal relations based on time series generated from coupled nonlinear systems with some unobserved parts. …”
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    Detecting Causality by Combined Use of Multiple Methods: Climate and Brain Examples
  13. 2173
    “…Rather than continuing to fund, pursue and promote ‘blind’ big data projects with massive budgets, we call for more funding to be allocated to the elucidation of the multiscale and stochastic processes controlling the behaviour of complex systems, including those of life, medicine and healthcare. …”
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    Big data need big theory too
  14. 2174
    por May, Carl R., Johnson, Mark, Finch, Tracy
    Publicado 2016
    “…Understanding these processes in terms of feedback loops, adaptive mechanisms and the practical compromises that stem from them enables us to see the mechanisms specified by NPT as core elements of self-organisation in complex systems.…”
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    Implementation, context and complexity
  15. 2175
    “…This paper focuses on the use of different Machine Learning approaches for regression tasks in the field of Computational Intelligence and especially on a correct comparison between the different results provided for different methods, as those techniques are complex systems that require further study to be fully understood. …”
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    A methodology for the design of experiments in computational intelligence with multiple regression models
  16. 2176
    “…BACKGROUND: Recent technological advances in high-throughput data collection allow for experimental study of increasingly complex systems on the scale of the whole cellular genome and proteome. …”
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    Linear fuzzy gene network models obtained from microarray data by exhaustive search
  17. 2177
    por Bobek, Eliza, Tversky, Barbara
    Publicado 2016
    “…Because visual explanations can show parts and processes of complex systems directly, creating them should have benefits beyond creating verbal explanations. …”
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    Creating visual explanations improves learning
  18. 2178
    “…CWA has been used in many other non-sporting domains to analyse and understand complex systems. RESULT: Using CWA, a model of the football match ‘system’ was developed. …”
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    What’s in a game? A systems approach to enhancing performance analysis in football
  19. 2179
    “…The application of complex systems theory to physiology and medicine has provided meaningful information about the nonlinear aspects underlying the dynamics of a wide range of biological processes and their disease-related aberrations. …”
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    Complexity Variability Assessment of Nonlinear Time-Varying Cardiovascular Control
  20. 2180
    “…Living organisms are highly complex systems that must maintain a dynamic equilibrium or homeostasis that requires energy to be sustained. …”
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    Stress-Related and Circadian Secretion and Target Tissue Actions of Glucocorticoids: Impact on Health
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