scholarly journals Complex systems and ‘‘ Spatio ‐Temporal Anti‐Compliance Coordination ’’ In cyber‐physical networks: A critique of the Hipster Effect , bankruptcy prediction and alternative risk premia

2021 ◽  
Vol 3 (3) ◽  
pp. 253-262
Author(s):  
Michael I. C. Nwogugu
Keyword(s):  
Complex Systems ◽  
Risk Premia ◽  
Bankruptcy Prediction ◽  
Spatio Temporal

Spatio-temporal phenomena in complex systems with time delays

2017 ◽  
Vol 50 (10) ◽  
pp. 103001 ◽  
Author(s):  
Serhiy Yanchuk ◽  
Giovanni Giacomelli
Keyword(s):  
Complex Systems ◽  
Time Delays ◽  
Spatio Temporal

Analyzing Spatio-Temporal Patterns of Complex Systems

1998 ◽  
pp. 101-114 ◽  
Author(s):  
R. Friedrich ◽  
V. K. Jirsa ◽  
H. Haken ◽  
C. Uhl
Keyword(s):  
Complex Systems ◽  
Temporal Patterns ◽  
Spatio Temporal

Reconstruction of spatio-temporal signals of complex systems

1993 ◽  
Vol 92 (2) ◽  
pp. 211-219 ◽  
Author(s):  
C. Uhl ◽  
R. Friedrich ◽  
H. Haken
Keyword(s):  
Complex Systems ◽  
Spatio Temporal

scholarly journals A Complex Systems Perspective on Neuroimaging Studies of Behaviour and Its Disorders

2020 ◽  
Author(s):  
Paul Expert ◽  
Federico Turkheimer
Keyword(s):  
Complex Systems ◽  
Complexity Science ◽  
Neural Systems ◽  
Mathematical Concepts ◽  
Number Of Components ◽  
Systems Perspective ◽  
Emergent Behaviour ◽  
Strong Case ◽  
Spatio Temporal ◽  
Temporal Interactions

The study of complex systems deals with emergent behaviour that arises as a result of nonlinear spatio-temporal interactions between a large number of components both within the system, as well as between the system and its environment. There is a strong case to be made that neural systems as well as their emergent behaviour and disorders, can be studied within the framework of complexity science. In particular, the field of neuroimaging has begun to apply both theoretical and experimental procedures originating in complexity science – usually in parallel with traditional methodologies. Here, we demonstrate that the use of such traditional models may distort the outcomes of neuroimaging experiments – hence affecting their interpretability and raising questions about their reliability.Therefore, we argue in favor of adopting a complex systems-based methodology in the study of neuroimaging, alongside appropriate experimental paradigms, and with minimal influences from non-complex systems approaches. Our exposition includes a review of the fundamental mathematical concepts, combined with practical examples and a compilation of results from the literature.

scholarly journals AN AGENT-BASED MODEL TO REPRESENT SPACE-TIME PROPAGATION OF FOREST-FIRE SMOKE

2018 ◽  
Vol IV-4 ◽  
pp. 207-212 ◽  
Author(s):  
A. K. Smith ◽  
S. Dragicevic
Keyword(s):  
Particulate Matter ◽  
Complex Systems ◽  
Forest Fire ◽  
Airborne Particulate Matter ◽  
Fire Season ◽  
Agent Based Model ◽  
Airborne Particulate ◽  
Agent Based ◽  
Fire Smoke ◽  
Spatio Temporal

<p><strong>Abstract.</strong> Agent-based modeling approaches have been used for various case studies related to the geospatial dynamics of complex systems. The proliferation of forest-fire smoke and the associated airborne particulate matter that behaves as complex systems make it important to develop reliable geospatial models that can simulate the propagation process to avoid impacts to human health and the environment. Therefore, the main objective of this research study is the development and implementation of an agent-based model (ABM) for the propagation of forest-fire smoke and other airborne particulate matter for use in studying patterns of spatio-temporal propagation. The developed ABM operates on a two-dimensional plane in the landscape where agents representing forest fires emit agents representing smoke. These smoke agents propagate through the study area based on measured atmospheric conditions. The model was developed using data from the 2017 forest fire season in British Columbia (BC) and parts of Alberta, Canada, particularly during the period August 10th&amp;ndash;25th. The obtained simulation results provided patterns of spatio-temporal propagation of fire smoke over large areas of BC and Alberta, and were compared to the real smoke patterns covering the Edmonton metropolitan area, Canada on a similar date. The developed agent-based model can be used to support the emergency planning and decision-making process such as in regulating forest fire evacuations and in the prevention of health problems triggered by the exposure to smoke.</p>

E3 ubiquitin ligases

2005 ◽  
Vol 41 ◽  
pp. 15-30 ◽  
Author(s):  
Helen C. Ardley ◽  
Philip A. Robinson
Keyword(s):  
Protein Complexes ◽  
Loss Of Function ◽  
Direct Role ◽  
Cellular Processes ◽  
Substrate Protein ◽  
Protein Ubiquitination ◽  
C Terminus ◽  
Full Complement ◽  
Spatio Temporal ◽  
Eukaryotic Organisms

The selectivity of the ubiquitin–26 S proteasome system (UPS) for a particular substrate protein relies on the interaction between a ubiquitin-conjugating enzyme (E2, of which a cell contains relatively few) and a ubiquitin–protein ligase (E3, of which there are possibly hundreds). Post-translational modifications of the protein substrate, such as phosphorylation or hydroxylation, are often required prior to its selection. In this way, the precise spatio-temporal targeting and degradation of a given substrate can be achieved. The E3s are a large, diverse group of proteins, characterized by one of several defining motifs. These include a HECT (homologous to E6-associated protein C-terminus), RING (really interesting new gene) or U-box (a modified RING motif without the full complement of Zn2+-binding ligands) domain. Whereas HECT E3s have a direct role in catalysis during ubiquitination, RING and U-box E3s facilitate protein ubiquitination. These latter two E3 types act as adaptor-like molecules. They bring an E2 and a substrate into sufficiently close proximity to promote the substrate's ubiquitination. Although many RING-type E3s, such as MDM2 (murine double minute clone 2 oncoprotein) and c-Cbl, can apparently act alone, others are found as components of much larger multi-protein complexes, such as the anaphase-promoting complex. Taken together, these multifaceted properties and interactions enable E3s to provide a powerful, and specific, mechanism for protein clearance within all cells of eukaryotic organisms. The importance of E3s is highlighted by the number of normal cellular processes they regulate, and the number of diseases associated with their loss of function or inappropriate targeting.

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