To model the dependence of extreme events on locations, we consider extreme events of Brownian particles in a potential. We find that barring the exception of very large potentials and/or very small regions, in general, the probability of extreme events increases with the potential. Our approach is general and can be useful for studying several complex systems.
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http://dx.doi.org/10.1103/PhysRevE.97.062102 | DOI Listing |
Nat Commun
December 2024
Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin-si, Republic of Korea.
Self-assembled configurations are versatile for applications in which liquid-mediated phenomena are employed to ensure that static or mild physical interactions between assembling blocks take advantage of local energy minima. For granular materials, however, a particle's momentum in air leads to random collisions and the formation of disordered phases, eventually producing jammed configurations when densely packed. Therefore, unlike fluidic self-assembly, the self-assembly of dry particles typically lacks programmability based on density and ordering symmetry and has thus been limited in applications.
View Article and Find Full Text PDFNat Commun
December 2024
Department of Computer Science, The University of Hong Kong, Pokfulam Rd, Hong Kong SAR, China.
Proper exposure settings are crucial for modern machine vision cameras to accurately convert light into clear images. However, traditional auto-exposure solutions are vulnerable to illumination changes, splitting the continuous acquisition of unsaturated images, which significantly degrades the overall performance of underlying intelligent systems. Here we present the neuromorphic exposure control (NEC) system.
View Article and Find Full Text PDFEcol Lett
January 2025
Department of Cellular and Molecular Biology, Harvard University, Cambridge, Massachusetts, USA.
Climate change is intensifying extreme weather events, with severe implications for ecosystem dynamics. A key behavioural mechanism whereby animals may cope with such events is by altering their social structure, which in turn could influence epidemic risk. However, how and to what extent natural disasters affect disease risk via changes in sociality remains unexplored in animal populations.
View Article and Find Full Text PDFData Brief
December 2024
Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
Tropical cyclones (TCs) are catastrophic phenomena that constantly threaten populations settled in the tropics. Their direct effects (strong winds, storm surges, and intense precipitation) are confined near the TC center. On the other hand, the indirect effects are due to extreme rainfall events associated with rainbands distant from the TC center.
View Article and Find Full Text PDFFront Public Health
December 2024
Wastewater Technology Research, Wastewater Disposal, German Environment Agency, Berlin, Germany.
Introduction: Accurate and consistent data play a critical role in enabling health officials to make informed decisions regarding emerging trends in SARS-CoV-2 infections. Alongside traditional indicators such as the 7-day-incidence rate, wastewater-based epidemiology can provide valuable insights into SARS-CoV-2 concentration changes. However, the wastewater compositions and wastewater systems are rather complex.
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