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The situation of sports products aggregation under e-commerce and internet of things mode reflects the features of sports commodity industry agglomeration and its future development prospects in this field. Taking China's e-commerce platforms, such as Taobao, Paipai, Suning etc. as research objects, after classified retrieval, statistics and analysis, it is considered that the delivering service places of Chinese sports products e-commerce and the internet of things mainly concentrated in the southeast coastal provinces and Beijing city; The well-known foreign sports brands occupy the middle and high-end market, while the sales of domestic traditional sports brand are poor; The equipment of outdoor exercise, leisure commodity and home fitness sale well, and consumers have a pursuit of improving performance, adding functions and cutting price. The future development prospect of sports products industry is: developing the outdoor sports and leisure industry vigorously to create the national high-end brand in this field; Turning the "extensive" development mode of the traditional sports products industry which pursues speed and quantity into the "intensive" development mode which pursues benefit and quality; Increasing the proportion of investment in research and development (R&D) to improve the market competitiveness of sports products from the aspects of environmental protection, economy, durability, comfort, beauty and multi-function; Enhancing the national self-confidence of sports brands. [ABSTRACT FROM AUTHOR]

• The drivers of the urban plant diversity were accessed in tropical Haikou city, China. • Urban plant species richness across 190 urban functional units within Haikou was investigated. • Number of patches mainly explain urban plant diversity in Haikou, China. • Cultivated plant species richness is mainly influenced by fertilizing frequency. Recent urbanization and human activities have led to the fragmentation of natural landscape patches and reduced the connectivity and degradation of urban ecosystems and biodiversity. Urban plant richness affects social functions and the well-being of urban residents and is driven by land use, local wealth, and urban green space management. Among these drivers, it remains unclear which factors play a more important role in driving the relative diversity of cultivated and spontaneous plant species richness in cities. Therefore, we investigated the spatial patterns and the drivers of cultivated and spontaneous plant species richness within 190 urban functional units (UFUs) in the tropical coastal city of Haikou, China, based on remote sensing data, fieldwork, and surveys of socioeconomic and greening management practices. Using multiple linear regression, we found that the most cultivated plants were located at colleges and universities, public affair service districts, and around hospitals, while the most spontaneous plants were found in transportation districts. The spatial organization of these plants was influenced by factors such as patchiness, connectivity, maintenance frequency and fertilizing frequency. Cultivated plants, conversely, were found to increase with patchiness and connectivity, and their presence was positively related to fertilizing and maintenance frequency. The richness of both spontaneous and cultivated plants was found to be influenced by various factors among different urban functional units (UFUs). The proximity to freshwater resources was found to increase the number of spontaneous plant species. Our findings underscore the significant impact of human activities on urban plant richness and highlight the importance of understanding these dynamics for urban planning and biodiversity conservation. Our work contributes to the scarce literature on the drivers of cultivated and spontaneous plant richness in recently developed tropical cities. [ABSTRACT FROM AUTHOR]

Understanding the factors that drive PM 2.5 concentrations in cities with varying population and land areas is crucial for promoting sustainable urban population health. This knowledge is particularly important for countries where air pollution is a significant challenge. Most existing studies have investigated either anthropogenic or environmental factors in isolation, often in limited geographic contexts; however, this study fills this knowledge gap. We employed a multimethodological approach, using both multiple linear regression models and geographically weighted regression (GWR), to assess the combined and individual effects of these factors across different cities in China. The variables considered were urban built-up area, land consumption rate (LCR), population size, population growth rate (PGR), longitude, and latitude. Compared with other studies, this study provides a more comprehensive understanding of PM 2.5 drivers. The findings of this study showed that PGR and population size are key factors affecting PM 2.5 concentrations in smaller cities. In addition, the extent of urban built-up areas exerts significant influence in medium and large cities. Latitude was found to be a positive predictor for PM 2.5 concentrations across all city sizes. Interestingly, the northeast, south, and southwest regions demonstrated lower PM 2.5 levels than the central, east, north, and northwest regions. The GWR model underscored the importance of considering spatial heterogeneity in policy interventions. However, this research is not without limitations. For instance, international pollution transfers were not considered. Despite the limitation, this study advances the existing literature by providing an understanding of how both anthropogenic and environmental factors, in conjunction with city scale, shape PM 2.5 concentrations. This integrated approach offers invaluable insights for tailoring more effective air pollution management strategies across cities of different sizes and characteristics., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Objective. To calculate individual annual cosmic radiation effective dose for monitored flight personnel. Method. With the help of aircraft flight information from flight performance manual, software CARI-6 developed by U.S. Federal Aviation Administration was used to calculate the effective dose of galactic cosmic radiation along the air lines, and to calculate the effective dose rate on the ground in Urumuqi, then individual annual cosmic radiation dose on flight personnel was estimated from the data calculated by CARI-6. Result. The annual cosmic radiation dose on the ground at Urumuqi was 0.420 mSv a-1. The average effective dose rate of all flights of Xinjiang Airlines from 1997 to 1999 was 2.381 microSv h -1(0.33-3. 64 microSv h-1). Average annual cosmic radiation dose on flight personnel was 2.193 mSv a-1 (0.887-4.419 mSv a-1). Conclusion. Annual individual doses of all monitored flight personnel are well below the limit 20 mSv a-1 recommended by International Commission on Radiological Protection (ICRP).