Spatially extended systems, such as channel or pipe flows, are often equivariant under continuous symmetry transformations, with each state of the flow having an infinite number of equivalent solutions obtained from it by a translation or a rotation. This multitude of equivalent solutions tends to obscure the dynamics of turbulence. Here we describe the "first Fourier mode slice," a very simple, easy to implement reduction of SO(2) symmetry. While the method exhibits rapid variations in phase velocity whenever the magnitude of the first Fourier mode is nearly vanishing, these near singularities can be regularized by a time-scaling transformation. We show that after application of the method, hitherto unseen global structures, for example, Kuramoto-Sivashinsky relative periodic orbits and unstable manifolds of traveling waves, are uncovered.
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http://dx.doi.org/10.1103/PhysRevLett.114.084102 | DOI Listing |
Sci Total Environ
December 2024
Shandong Key Laboratory of Environmental Processes and Health, School of Environmental Science and Engineering, Shandong University, Qingdao, Shandong 266237, China. Electronic address:
Human disease and health issues are globally significant and closely related to environmental and social factors. However, the interaction effects of such factors on diseases are unclear, which has resulted in a lack of targeted prevention strategies. By taking infectious diseases in China as an example, this study uses an interpretable machine learning method to analyze the impact of environmental and social factors on disease, including industrial SO emissions, sanitary toilet coverage rate, and sunshine duration.
View Article and Find Full Text PDFJ Environ Manage
December 2024
School of Management, China Institute for Studies in Energy Policy, Collaborative Innovation Center for Energy Economics and Energy Policy, Xiamen University, Fujian, 361005, China. Electronic address:
Intelligent manufacturing and green development are pivotal issues in China's pursuit of high-quality economic growth. As the core carrier of artificial intelligence-driven production transformations, industrial robots' role in synergizing enterprise pollution control and carbon reduction has rarely been discussed in the literature. Leveraging a unique micro dataset with robot adoption, energy use, emissions, and economic factors, this study investigates the impact and mechanisms of robot adoption on enterprise pollution abatement and carbon reduction.
View Article and Find Full Text PDFEnviron Int
December 2024
UK Centre for Ecology & Hydrology Edinburgh, Bush Estate, Penicuik EH26 0QB, UK.
Countries in South Asia are suffering severe PM pollution with rapid economic development, impacting human health and the environment. Whilst much attention has been given to understanding the contribution of primary emissions, the contribution of agriculture to PM concentrations, especially from agricultural ammonia (NH) emissions, remains less explored. Using an advanced regional atmospheric chemistry and transport modelling system (WRF-EMEP) with a new estimate of anthropogenic NH emissions inputs, we estimate the influence of agricultural NH emissions on surface PM in South Asia and evaluate the health impacts and the economic losses attributable to PM in 2018.
View Article and Find Full Text PDFMaterials (Basel)
November 2024
State Key Laboratory of Featured Metal Materials and Life-Cycle Safety for Composite Structures, MOE Key Laboratory of New Processing Technology for Nonferrous Metals and Materials, School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China.
A technology was developed for managing Zn-bearing dust, facilitating the recycling of hazardous solid waste and the production of porous carbon materials. In the one-step process, Zn-bearing dusts were employed not only as raw materials to prepare reduced Zn-bearing dust pellets but also as activators to prepare K, Na-embedded activated carbon. In the process, the Fe, C, Zn, K, and Na in the dusts were rationally utilized.
View Article and Find Full Text PDFJ Food Prot
December 2024
Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Electronic address:
Corn wet milling (CWM) and corn starch flash drying processing conditions reduce undesirable microorganisms, such as Salmonella. Finished products are historically safe, with intrinsic properties such as low water activity inhibiting microbial growth. Corn processors could use quantified levels of reduction in this study of Salmonella surrogate Enterococcus faecium (E.
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