23 papers · ranked by Valyu relevance
Angie Luna Pinzon, Karien Stronks, Coosje Dijkstra, Carry Renders + 6 more
'Teatske Altenburg' 'Karen den Hertog' 'Stef P. J. Kremers' 'Mai J. M. Chinapaw' 'Arnoud P. Verhoeff' 'Wilma Waterlander'] Background Systems thinking embraces the complexity of public health problems, including childhood overweight and obesity. It aids in understanding how factors are interrelated, and it can be…
Benjamin Scharte
The concept of resilience intrinsically links with both complexity and adaptive capacity. Scholars from different fields agree on this. Still, the detailed relations between resilience, complexity, and adaptive capacity need a more thorough theoretical analysis. This article analyses resilience with the help of…
Hossein Sabzian, Nima Shahriari, Mohammad G. Nejad
The complex interplay between human societies and their environments has long been a subject of fascination for social scientists. Utilizing agent-based modeling, this study delves into the profound implications of seemingly inconsequential variations in social dynamics. Focusing on the nexus between food distribution…
Vítor V. Vasconcelos, Flávia Maria Darcie Marquitti, Theresa W. Ong, Lisa C. McManus + 26 more
'Lisa C. McManus' 'Marcus A. M. de Aguiar' 'Amanda B. Campos' 'Partha Sharathi Dutta' 'Kristen Jovanelly' 'Victoria Junquera' 'Jude Dzevela Kong' 'Elisabeth Krueger' 'Simon A. Levin' 'Wenying Liao' 'Mingzhen Lu' 'Dhruv Mittal' 'Mercedes Pascual' 'Flávio L. Pinheiro' 'Juan Rocha' 'Fernando P. Santos' 'P.M.A. Sloot'…
M. Bai, Daqing Li
For real-world complex system constantly enduring perturbation, to achieve survival goal in changing yet unknown environments, the central problem is designing a selfadaptation strategy instead of fixed control strategies, which enables system to adjust its internal multi-scale structure according to environmental…
Katarina E Göransson, Jonathan Drennan, Hanne Mainz, Nanna Fauerholdt Skov + 4 more
'Nanna Fauerholdt Skov' 'Maria Amritzer' 'Lena M Berg' 'Karen V Andersen' 'Marianne Lisby'] Across the world, emergency department nurses care for patients around the clock all year long. They perform tasks ranging from direct nursing care to managing patient flow, working in an environment characterised by…
Inês Hipólito
This paper proposes a framework for optimising the adaptation and attunement of a Complex Adaptive System (CAS) with its environments. The tendency towards stability can be explained by minimising free energy but high variability, noise, and over-specialized rigidity can lead to a "stuck state" in a CAS. Without…
Neil D. Theise, Jack A. Tuszynski
Founders of quantum mechanics (QM) anticipated that revisions to classical physics due to strange elements of quantum reality, would necessitate similar changes in biology. Complexity theory, systems biology and quantum biology provide possible solutions indicating that subject/object separation is a useful fiction for…
Matthew Sims
Intelligence in current AI research is measured according to designer-assigned tasks that lack any relevance for an agent itself. As such, tasks and their evaluation reveal a lot more about our intelligence than the possible intelligence of agents that we design and evaluate. As a possible first step in remedying this…
Tom Röschinger, Roberto Morán Tovar, Simone Pompei, Michael Lässig
Biological systems have evolved to amazingly complex states, yet we do not understand in general how evolution operates to generate increasing genetic and functional complexity. Molecular recognition sites are short genome segments or peptides binding a cognate recognition target of sufficient sequence similarity. Such…
Remy Tuyeras, Alvaro Morcuende, Claudia Llinares, Asa Segerstolpe + 3 more
Functional specialization in continuous systems requires balancing adaptation to environmental stress with the preservation of encoded information. Yet, the physical constraints governing how living systems reconcile selective information retention with energetic structural reorganization remain unclear–a trade-off…
Salvatore Chirumbolo, Marianno Franzini, Umberto Tirelli, Giovanni Ricevuti + 6 more
Adaptive chaos represents a paradigm shift in understanding biological systems, where mild chaotic dynamics sustain homeostasis and resilience. This study delves into oxygen-ozone therapy’s ability to leverage adaptive chaos in treating spinal musculoskeletal disorders, particularly intervertebral disc degeneration…
Priyan Bhattacharya, Karthik Raman, Arun K. Tangirala
Establishing a mapping between the emergent biological properties and network structure has always been of great relevance in systems and synthetic biology. Adaptation is one such biological property of paramount importance, which aids in regulation in the face of environmental disturbances. In this paper, we present a…
Alejandra C. Ventura, Horacio G. Rotstein
Degeneracy in dynamic models refers to these situations where multiple combinations of parameter values produce identical patterns for the observable variable. We investigate this phenomenon in two qualitatively different adaptive circuit mechanisms: nonlinear feedback loop (NFBL) and incoherent feedback loop (IFFL).…
Saverio Forestiero
Contemporary scientific knowledge is built on both methodological and epistemological reductionism. The discovery of the limitations of the reductionist paradigm in the mathematical treatment of certain physical phenomena originated the notion of complexity, both as a pattern and process. After clarifying some very…
Ryunosuke Suzuki, Taiji Adachi
In living systems, each component adaptively changes its internal states in response to its interactions with other components. These interactions, in turn, undergo temporal changes as a result of this adaptive behavior, which plays a crucial role in the emergence of system-level functions. Thus, to understand how…
Authors not listed
We investigate the effects of ionic strength on the self-assembly of poly(N-isopropyl acrylamide)-nanoparticles (PSiFe) at the air-water interface. These responsive nanoparticles exhibit temperature-dependent behavior, forming more compact films at high temperatures (above the lower critical solution temperature…
Priyan Bhattacharya, Karthik Raman, Arun K. Tangirala
Biological adaptation, the tendency of every living organism to regulate its essential activities in environmental fluctuations, is a well-studied functionality in systems and synthetic biology. In this work, we present a generic methodology inspired by systems theory to discover the design principles for robust…
Authors not listed
We present a chemical framework in which adaptive organization is achieved by tuning a gated quantum resonator (adaptive genomic resonator) {driven quantum oscillator} across a driven, dissipative reaction manifold (fitness landscape) {Hamiltonian potential surface}. In this view, catalytic elements set gain and phase…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Authors not listed
Accurate and efficient calculation of alchemical free energies is a critical challenge in computational chemistry, frequently hindered by the inherent limitations of conventional Thermodynamic Integration (TI) methods. These limitations include poor phasespace overlap between discrete alchemical states, inefficient…
Authors not listed
A framework for catalysis based on categorical aperture selection rather than temporal acceleration is presented. Traditional catalysis theory describes catalysts as agents that accelerate reactions by lowering activation energies, implicitly treating time as the fundamental variable and reaction rate enhancement as…
Noora Aho, Gerrit Groenhof, Pavel Buslaev
Molecular dynamics (MD) simulations are widely applied to estimate absolute binding free energies of protein-ligand and protein-protein complexes. A routinely used method for binding free energy calculations with MD is umbrella sampling (US), which calculates the potential of mean force (PMF) along a single reaction…