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  1. 1301
    “…Overall, this highly sensitive microfluidic sensor can be integrated into complex systems and provide real-time monitoring of fluid viscosity.…”
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    Optimizing Sensitivity in a Fluid-Structure Interaction-Based Microfluidic Viscometer: A Multiphysics Simulation Study
  2. 1302
    “…However, they typically rely on unknown parameters, the estimation of which can be challenging for large and complex systems. pyPESTO is a modular framework for systematic parameter estimation, with scalable algorithms for optimization and uncertainty quantification. …”
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    pyPESTO: a modular and scalable tool for parameter estimation for dynamic models
  3. 1303
    “…Evaluating the systemic host response to infection as a complex system provides novel insights: however, bedside application with clinical value remains wanting. …”
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    Clinical review: A review and analysis of heart rate variability and the diagnosis and prognosis of infection
  4. 1304
    “…They also highlight the potential of this modelling framework, incorporating both agent-based and network-based components, in the context of complex systems where scaling-up alone does not result in models providing additional insights.…”
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    Model refinement through high-performance computing: an agent-based HIV example
  5. 1305
    “…Specifically, it provides a means by which we can measure theoretically that which cannot be measured experimentally: the dynamic time-evolution of complex systems comprising atoms and molecules. It is particularly suitable for the simulation and analysis of the otherwise inaccessible details of MHC-peptide interaction and, on a larger scale, the simulation of the immune synapse. …”
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    T-cell epitope prediction and immune complex simulation using molecular dynamics: state of the art and persisting challenges
  6. 1306
    “…Moreover, brain networks and many other complex systems demonstrate the property of hierarchical modularity, or modularity on several topological scales: within each module there will be a set of sub-modules, and within each sub-module a set of sub-sub-modules, etc. …”
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    Modular and Hierarchically Modular Organization of Brain Networks
  7. 1307
    “…Our results show that for appropriate parameter values the model is able to provide fat tailed probability density functions and strong persistence of the instantaneous variance characterized by large values of the Hurst exponent ([Image: see text]), which are ubiquitous features in complex systems.…”
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    Minding Impacting Events in a Model of Stochastic Variance
  8. 1308
    por Selvarajoo, Kumar
    Publicado 2011
    “…Thus, as observed in any other complex systems, biology can be considered to possess order and disorder, inheriting a mixture of predictable population level and unpredictable single cell outcomes.…”
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    Macroscopic law of conservation revealed in the population dynamics of Toll-like receptor signaling
  9. 1309
    por Wang, Yang, Di, Zengru, Fan, Ying
    Publicado 2011
    “…BACKGROUND: Many complex systems can be represented as networks, and how a network breaks up into subnetworks or communities is of wide interest. …”
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    Identifying and Characterizing Nodes Important to Community Structure Using the Spectrum of the Graph
  10. 1310
    “…Network science describes how entities in complex systems interact, and argues that the structure of the network influences processing. …”
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    Simulating Retrieval from a Highly Clustered Network: Implications for Spoken Word Recognition
  11. 1311
    por Rein, Martin L., Deussing, Jan M.
    Publicado 2011
    “…What started in a petri dish is applicable today to more complex systems, ranging from the dissection of brain circuitries in vitro to behavioral analyses in freely moving animals. …”
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    The optogenetic (r)evolution
  12. 1312
    “…This programmable proof-of-concept circuit or its variants can be applied to more complex systems where precise tuning of the consortium would facilitate the optimization of specific objectives, such as increasing the overall efficiency of microbial production of biofuels or pharmaceuticals.…”
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    A Programmable Escherichia coli Consortium via Tunable Symbiosis
  13. 1313
    por Conover, David O, Baumann, Hannes
    Publicado 2009
    “…The drawbacks of experiments are uncertainties in the scale-up from small, simple environments to larger and more complex systems; the concern that taxons with short life cycles used for experimental research are atypical of those of harvested species; and the difficulty of adequately simulating selection due to fishing. …”
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    The role of experiments in understanding fishery-induced evolution
  14. 1314
    “…Critical transitions between alternative stable states have been shown to occur across an array of complex systems. While our ability to identify abrupt regime shifts in natural ecosystems has improved, detection of potential early-warning signals previous to such shifts is still very limited. …”
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    Early Detection of Ecosystem Regime Shifts: A Multiple Method Evaluation for Management Application
  15. 1315
    “…Results indicate that system robustness can be highly elastic to spatial and temporal variations in nodal interactions within complex systems. Further, the presence of this elasticity provides evidence that a failure to account for nodal interaction can confound characterizations of complex networked systems.…”
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    Robustness Elasticity in Complex Networks
  16. 1316
    “…The understanding of complex systems has become a central issue because such systems exist in a wide range of scientific disciplines. …”
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    Identifying States of a Financial Market
  17. 1317
    por Klinke, David J., Wang, Qing
    Publicado 2012
    “…Both the physiology and engineering communities have rich histories in applying computational approaches to translate data obtained from complex systems into knowledge of system behavior. However, there are some differences in how disciplines approach problems. …”
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    Understanding Immunology via Engineering Design: The Role of Mathematical Prototyping
  18. 1318
    “…A Food Systems and Public Health conference was convened in April 2009 to consider research supporting food systems that are healthy, green, fair, and affordable. We used a complex systems framework to examine the contents of background material provided to conference participants. …”
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    Places to Intervene to Make Complex Food Systems More Healthy, Green, Fair, and Affordable
  19. 1319
    “…While the most exotic behaviors can be found in complex systems, fast electron dynamics can be studied at the fundamental level in atomic systems, using moderately intense (≲10(3) W/cm(2)) lasers to control the electronic structure in proof-of-principle experiments. …”
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    Sub-cycle Oscillations in Virtual States Brought to Light
  20. 1320
    “…This dispersion can be understood from a complex systems perspective, and quantified in terms of fractal geometry. …”
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    A fractal approach to dynamic inference and distribution analysis
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