In social systems ranging from ant colonies to human society, behavioural specialization-consistent individual differences in behaviour-is commonplace: individuals can specialize in the tasks they perform (division of labour (DOL)), the political behaviour they exhibit (political polarization) or the non-task behaviours they exhibit (personalities). Across these contexts, behavioural specialization often co-occurs with modular and assortative social networks, such that individuals tend to associate with others that have the same behavioural specialization. This raises the question of whether a common mechanism could drive co-emergent behavioural specialization and social network structure across contexts. To investigate this question, here we extend a model of self-organized DOL to account for social influence and interaction bias among individuals-social dynamics that have been shown to drive political polarization. We find that these same social dynamics can also drive emergent DOL by forming a feedback loop that reinforces behavioural differences between individuals, a feedback loop that is impacted by group size. Moreover, this feedback loop also results in modular and assortative social network structure, whereby individuals associate strongly with those performing the same task. Our findings suggest that DOL and political polarization-two social phenomena not typically considered together-may actually share a common social mechanism. This mechanism may result in social organization in many contexts beyond task performance and political behaviour.
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http://dx.doi.org/10.1098/rsif.2019.0564 | DOI Listing |
Chaos
January 2025
Department of Chemistry, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India.
Spirals are a special class of excitable waves that have its significance in the understanding of cardiac arrests and neuronal transduction. In a theoretical model of the chemical Belousov-Zhabotinsky reaction system, we explore the dynamics of the spatiotemporal patterns that emerge out of competing reaction and diffusion phenomena. By modifying the existing mathematical models of the reaction kinetics, we have been able to explore the explicit effect of hydrogen ion concentration in the system, so as to achieve various regimes of wave activity, from stable spirals to oscillation death.
View Article and Find Full Text PDFAnn Intern Med
January 2025
Clinical Epidemiology and Research Center (CERC), Department of Biomedical Sciences, Humanitas University, and IRCCS Humanitas Research Hospital, Milan, Italy, and Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany (H.J.S.).
Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.
View Article and Find Full Text PDFAnn Intern Med
January 2025
Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore; and Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland (T.M.B.).
Background: Guidelines emphasize quiet settings for blood pressure (BP) measurement.
Objective: To determine the effect of noise and public environment on BP readings.
Design: Randomized crossover trial of adults in Baltimore, Maryland.
Issues Ment Health Nurs
January 2025
Department of Psychiatry, Ryhov County Hospital, Jönköping, Sweden.
Patient-Initiated Brief Admission (PIBA) is perceived as a constructive intervention. It remains uncertain whether PIBA contributes to healthier behaviors among its users. To comprehend patients' motivation to engage in health-promoting behaviors, it is essential to understand how various nursing interventions influence the behavior-specific thoughts and feelings that lead to healthy behaviors.
View Article and Find Full Text PDFJMIR Aging
January 2025
Centre of Expertise in Care Innovation, Department of PXL - Healthcare, PXL University of Applied Sciences and Arts, Hasselt, Belgium.
Background: Advancements in mobile technology have paved the way for innovative interventions aimed at promoting physical activity (PA).
Objective: The main objective of this feasibility study was to assess the feasibility, usability, and acceptability of the More In Action (MIA) app, designed to promote PA among older adults. MIA offers 7 features: personalized tips, PA literacy, guided peer workouts, a community calendar, a personal activity diary, a progression monitor, and a chatbot.
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