The aim of this study was to evaluate the features of rheumatoid arthritis (RA) as well as other health problems and treatment necessities in various climatic and geographic zones of Uzbekistan. The data on 2013 patients with a confirmed diagnosis of RA were collected retrospectively. The results showed that the Khorezm and Surkhandarya regions dominated by indicators of disease activity and severity, such as a more expressed progressive course; in addition, marked alterations in the reproductive system, especially in women, were observed as well. In contrast, patients from the Namangan and Tashkent zones were characterized by relatively better parameters of interest. In conclusion, the differences in climatic and geographic zones in Uzbekistan may be important for patients with RA. More in-depth studies are needed to get a more accurate insight into the possible influence of climate and environmental factors on RA.
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Proc Natl Acad Sci U S A
January 2025
School of Politics and Public Administration, Soochow University, Suzhou 215006, China.
Urban vegetation provides essential ecosystem services and benefits to support biodiversity and human well-being in urban areas. However, the dynamic trends, driving factors, and their implications to urban heat mitigation at the global scale remain largely unclear. Here, we used a high-resolution enhanced vegetation index (EVI) dataset to examine the vegetation dynamics in 11,235 urban areas worldwide, identify the driving factors behind its changes, and estimate the potential urban heat mitigation benefits of these changes.
View Article and Find Full Text PDFBull Entomol Res
January 2025
State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China.
The desert locust () is a destructive migratory pest, posing great threat to over 60 countries globally. In the backdrop of climate change, the habitat suitability of desert locusts is poised to undergo alterations. Hence, investigating the shifting dynamics of desert locust habitats holds profound significance in ensuring global agricultural resilience and food security.
View Article and Find Full Text PDFSci Data
January 2025
Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Science is integral to society because it can inform individual, government, corporate, and civil society decision-making on issues such as public health, new technologies or climate change. Yet, public distrust and populist sentiment challenge the relationship between science and society. To help researchers analyse the science-society nexus across different geographical and cultural contexts, we undertook a cross-sectional population survey resulting in a dataset of 71,922 participants in 68 countries.
View Article and Find Full Text PDFNat Commun
January 2025
School of Physical Science and Technology, Yangzhou University, Yangzhou, China.
The latest climate models project widely varying magnitudes of future extreme precipitation changes, thus impeding effective adaptation planning. Many observational constraints have been proposed to reduce the uncertainty of these projections at global to sub-continental scales, but adaptation generally requires detailed, local scale information. Here, we present a temperature-based adaptative emergent constraint strategy combined with data aggregation that reduces the error variance of projected end-of-century changes in annual extremes of daily precipitation under a high emissions scenario by >20% across most areas of the world.
View Article and Find Full Text PDFJ Econ Entomol
January 2025
Institute of Entomology, College of Agriculture, Yangtze University, Jingzhou, China.
The Anoplophora chinensis (Coleoptera: Cerambycidae) (Forster), a serious phytophagous pest threatening Castanea mollissima Blume and Castanea seguinii Dode, poses risks of ecological imbalance, significant economic loss, and increased management difficulties if not properly controlled. This study employs optimized MaxEnt models to analyze the potential distribution areas of A. chinensis and its host plants under current and future climate conditions, identifying their movement pathways and relative dynamics.
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