Exposures to air pollution of by-products emission from the lignite-fired power plant elevated risks of carcinogenic effects, endocrine disruptors, central nervous system structural and functional changes. Residence in the proximity of the lignite-fired power plant appeared to have more chance to have higher risks of health problems. This study aimed to assess associations of residential proximity to the lignite-fired power plant on depression, sleep quality, and morning salivary cortisol among the elderly. The distance of residential proximity to the power plant was categorized into three groups (units in kilometer): <10 km, 10-15 km, and >15 km. The coefficients of log (morning salivary cortisol) was -0.320 (95%CI: -0.460, -0.179; p-value < 0.001) for those living <10 km compared to those living >15 km. Coefficients of sleep quality score were 1.350 (95%CI: 0.265, 2.436; p-value = 0.015) for those living <10 km compared to those living >15 km. Residential proximity to the lignite-fired power plant was not associated with depression. Our study concluded that living within 10 km to the lignite-fired power plant was related to negative health outcomes among the elderly. Policymakers need to reconsider the distance of the buffer zone to the power plant.
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http://dx.doi.org/10.1016/j.scitotenv.2021.151346 | DOI Listing |
Plant Dis
January 2025
Biotechnology, plant protection, Nongsheng Group C735, Zijin Campus, Zhejiang University, Hangzhou, Zhejiang, China, 310058;
To meet the need of crop leaf disease detection in complex scenarios, this study designs a method based on the computing power of mobile devices that ensures both detection accuracy and real-time efficiency, offering significant practical application value. Based on a comparison with existing mainstream detection models, this paper proposes a target detection and recognition algorithm, TG_YOLOv5, which utilizes multi-dimensional data fusion on the YOLOv5 model. The triplet attention mechanism and C3CBAM module are incorporated into the network structure to capture connections between spatial and channel dimensions of input feature maps, thereby enhancing the model's feature extraction capabilities without significantly increasing the parameter count.
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December 2024
Department of Chemistry, American University of Beirut, Beirut, Lebanon.
Lebanon, plagued by political and economic crises, experienced a government collapse in early 2020, leading to an electrical nationwide blackout by 2023. Diesel generators were used to compensate for the absence of power production from the national provider, Electricité du Liban (EDL). To investigate the effect of the crisis on the levels of 16 EPA particle bound polycyclic aromatic hydrocarbons (PPAHs), an annual comparative analysis of three locations within Beirut started in 2022 and ended in 2023.
View Article and Find Full Text PDFMol Ecol Resour
December 2024
Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada.
Relatively little is known of the host associations and compatibility of fungal plant pathogens and endophytes. Publicly available plant genomic DNA can be mined to detect incidental fungal DNA, but taxonomic assignment can be challenging due to short lengths and variable discriminative power among different genomic regions and taxa. Here, we introduce a computationally lightweight and accessible Snakemake pipeline for rapid detection and classification (identification and assignment to taxonomic rank) of pathogenic and endophytic fungi (and other fungi associated with plants) that targets the internal transcribed spacer (ITS) region, a fungal barcode standard.
View Article and Find Full Text PDFHumic substances, such as Fulvic acid (FA) and humic acid (HA), are widely used for the remediation of heavy metal-contaminated soils due to their ability to enhance metal mobility and facilitate plant uptake. In this study, we conducted a pot experiment with alfalfa to investigate the effects of FA and HA amendments on the mobility of molybdenum (Mo) in the soil, its uptake by alfalfa plants, and subsequent changes in the microbial community. The results demonstrated that both FA and HA influence Mo accumulation in the soil and plants.
View Article and Find Full Text PDFSci Rep
December 2024
Faculty of Mechanical Engineering, Opole University of Technology, Ul. Prószkowska 76, 45-758, Opole, Poland.
The study aimed to explore the potential use of coal-fired power plant bottom ashes in Pleurotus ostreatus cultivation using spent coffee grounds. The study analyzed five compositions of growth substrate for mushrooms: pure coffee grounds (I) as a control sample; coffee grounds substrate with the addition of 1% (II); 5% (III); 10% (IV) bottom ash; and bottom ash alone (V). The study revealed that compared to the control sample (I), the addition of 1% bottom ash (II) did not affect the time of mycelium growth but slowed fruiting body growth by 4 days.
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