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  1. 1401
    “…At the same time using such complex systems as test-beds for new control methods has highlighted their limitations (e.g. in relation to system identification) and has thus acted as a catalyst for methodological advance. …”
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    DEALING WITH BIO- AND ECOLOGICAL COMPLEXITY: CHALLENGES AND OPPORTUNITIES: “Status report prepared by the IFAC Coordinating committee on Bio- and Ecological Systems”
  2. 1402
    “…At the same time using such complex systems as test-beds for new control methods has highlighted their limitations (e.g. in relation to system identification) and has thus acted as a catalyst for methodological advance. …”
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    Dealing with bio- and ecological complexity: Challenges and opportunities()
  3. 1403
    “…While this is remarkable in comparison to the tens of kHz observed in spectra of static samples, it is still the key limit to the use of (1)H in solid‐state NMR, especially for complex systems. Here, we demonstrate a novel strategy to further improve the spectral resolution. …”
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    Homonuclear Decoupling in (1)H NMR of Solids by Remote Correlation
  4. 1404
    “…However, a better understanding of the complex cascades and molecular pathways involved in its toxicity will require extensive complementary studies in more complex systems.…”
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    Transcriptomic and Proteomic Tools in the Study of Hg Toxicity: What Is Missing?
  5. 1405
    “…The novel aspect is the use of a multi-process trigger-response pattern to address the modelling and verification of reachability properties of complex systems with concurrent processes. The approach is demonstrated on an airport control system, where timing, fairness, as well as liveness properties play a vital role in proving safety requirements.…”
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    Integration of iUML-B and UPPAAL Timed Automata for Development of Real-Time Systems with Concurrent Processes
  6. 1406
    “…In combination with the molecular dynamics program SHARC, our approach termed SchNarc is tested on two polyatomic molecules and paves the way toward efficient photodynamics simulations of complex systems.…”
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    Combining SchNet and SHARC: The SchNarc Machine Learning Approach for Excited-State Dynamics
  7. 1407
    “…Various combination rules help to analyze such systems as a single entity, that has many advantages in the study of complex systems. In particular, Dempster rule takes into account the inconsistency in initial data that has an impact on the final centrality ranking. …”
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    Belief Functions for the Importance Assessment in Multiplex Networks
  8. 1408
    “…Sustainable food supply chains are complex systems involving several stakeholders, processes, flow of goods/materials and information. …”
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    Mapping Sustainable Tomato Supply Chain in Greece: A Framework for Research
  9. 1409
    “…Metallic foams find their applicability in complex systems that operate under both real-life conditions (Earth living conditions) and extreme temperature conditions (low or high temperatures). …”
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    Anisotropic Compressive Behavior of Metallic Foams under Extreme Temperature Conditions
  10. 1410
    “…Cryptocurrency markets are complex systems based on speculation. Where investors interact using strategies that generate some biases responsible for endogenous instabilities. …”
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    How the cryptocurrency market has performed during COVID 19? A multifractal analysis
  11. 1411
    “…Application of a combination of algorithms, comprising one identifying reliable paths and potential causative relationships in complex systems, revealed gene networks characteristic of the BM stromal HSC-supportive capacity and of defined niche populations of perivascular cells, osteoblasts, and mesenchymal stromal cells. …”
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    Inferring Gene Networks in Bone Marrow Hematopoietic Stem Cell-Supporting Stromal Niche Populations
  12. 1412
    “…Cities require redesign and retrofit so they can become complex systems that create rather than diminish ecological and societal health. …”
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    Biomimicry for Regenerative Built Environments: Mapping Design Strategies for Producing Ecosystem Services
  13. 1413
    “…Together, our results reconcile previous apparently conflicting observations about the shape of nanodiscs, and pave the way for future integrative studies of larger complex systems such as membrane proteins embedded in nanodiscs.…”
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    Structure and dynamics of a nanodisc by integrating NMR, SAXS and SANS experiments with molecular dynamics simulations
  14. 1414
    por Holeman, Isaac, Kane, Dianna
    Publicado 2019
    “…In light of this material, we describe human-centered design as a flexible yet disciplined approach to innovation that prioritizes people's needs and concrete experiences in the design of complex systems.…”
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    Human-centered design for global health equity
  15. 1415
    “…To demonstrate the usefulness of the thermodynamic framework, the paper uses real-world network data, which are extracted from time-evolving complex systems in the financial and biological domains. …”
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    Thermodynamic Analysis of Time Evolving Networks
  16. 1416
    “…Time delay is a common phenomenon in various complex systems in nature, and it will greatly change the dynamic characteristics of the system. …”
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    A Novel Delay Linear Coupling Logistics Map Model for Color Image Encryption
  17. 1417
    por Ding, Fengqian, Luo, Chao
    Publicado 2019
    “…Most of time series deriving from complex systems in real life is non-stationary, where the data distribution would be influenced by various internal/external factors such that the contexts are persistently changing. …”
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    The Entropy-Based Time Domain Feature Extraction for Online Concept Drift Detection
  18. 1418
    “…Dynamical spatio-temporal processes represent a class of complex systems that can potentially benefit from these types of models. …”
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    Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data
  19. 1419
    “…The technique presented in the current work is applicable to many complex systems with both stochastic and random parameters. …”
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    Analysis of the Stochastic Population Model with Random Parameters
  20. 1420
    “…Information theory is a powerful tool for analyzing complex systems. In many areas of neuroscience, it is now possible to gather data from large ensembles of neural variables (e.g., data from many neurons, genes, or voxels). …”
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    A Method to Present and Analyze Ensembles of Information Sources
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