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00-1.41%), 0.79% (0.35-1.23%), 3.43% (1.47-5.39%), 4.54% (3.01-6.08%), 0.97% (- 0.11-2.05%), and 0.07% (0.02-0.12%) increments in AR outpatients on the current day, respectively. In the stratification analyses, statistically stronger associations were observed with PM2.5, PM10, SO2, NO2, and CO for AR outpatients less then  15 years of age than in those 15-65 and ≥ 65 years of age, whereas the opposite result was found with O3. Associations between PM10, SO2, NO2, O3, and AR outpatients were higher in the warm season than those in the cool season. This study suggests that exposure to PM2.5, PM10, SO2, NO2, and CO was associated with increased AR risk and children younger than 15 years might be more vulnerable.Thallium (Tl) has a high relative toxicity and is easily taken up by plants, but little is known about wider relationship with co-contaminants and in typical domestic food crops. We evaluated the extent of contamination, evidence for bioaccumulation in typical food crops (Chinese cabbage, green cabbage, chili, carrot, corn and rice), and subsequent contribution to health risks for 7 elements (Tl, As, Cd, Pb, Ni, Cu, Zn) associated with soil contamination in the local soils of a major Tl mine in Guizhou, southwest China. Derivation of relevant risk indicators from the bioconcentration factor (BCF), comprehensive crop pollution index (P), the target hazard quotient (THQ) (element), and the hazard index (HI) (all elements) were assessed as tools to support the evaluation. Our results showed that the degree of contamination and uptake by crops in the study area were root vegetables > leaf vegetables > fruit vegetables > cereals. With the exception of corn, other crops pose a significant risk to human health which is dominated by the Tl content. In addition, the Cu in carrot samples suggests hyperaccumulation at the site and poses a high risk to human health. The results provide direct evidence of significant food chain exposure and identifies the need for Tl-focused management of soil/plant interaction and that strategy needs to also understand the implications for behavior of co-contaminants in the area.The correspondence among energy use, carbon dioxide emissions, and growth is a matter of discussion among policymakers, economists, and researchers. It is not possible to deny that the concept of sustainable development inspires their enquiry into this arena. The primary aspiration of this work is to use machine learning techniques in the prediction of carbon dioxide emissions and growth by taking energy use as the input variable. Our findings suggest that the prediction accuracy of the relation between CO2 emission and growth can improve by using machine learning techniques. In this case, prediction using Adam optimization is better than stochastic gradient descent (SGD) in the context of carbon dioxide emissions and growth. Furthermore, the result highlights that the change from fossil fuel use to renewable energy use is a possible way to reduce carbon dioxide emissions without sacrificing economic growth. Hence, the policy has to be articulated in such way as to reduce fossil fuel use or increase energy efficiency, and at the same time, new investment has to be initiated in the renewable energy sector to promote economic growth in India.Research on pollution caused by gadolinium (Gd) based on compounds as a result of its use in high technological applications, especially in the health sector, has recently become very interesting. This study aims to investigate the determination of the environmental pollution levels of anthropogenic Gd and its possibility of use as an anthropogenic pollutant indicator in the Ankara Stream (Turkey) selected as the pilot stream. Within the scope of the research, Gd levels were determined in water and sediment samples taken in spring and autumn periods in a total of seven different stations, three of which in Ankara Stream and one for each in its tributaries (Çubuk Stream, Hatip Stream, İncesu Creek, Ova Stream). Some parameters related to water and sediment quality were also measured at the stations. Temperature, pH, electrical conductivity, and dissolved oxygen were measured in situ. Gd concentrations were measured by inductively coupled plasma mass spectrometry (ICP-MS) technique using samples filtered from 0.45-μm filters at the time of sampling in water samples. The grain sizes of sediment samples were carried out by conventional wet sieve analysis. Gd levels were determined by ICP-MS after digestion of sediment samples passing through 63-μm particle grain size. Also, total organic carbon (TOC) and total phosphorus (TP) levels were measured by classical methods in sediment samples. Although the Gd concentrations measured in the water samples taken from the stations in the Ankara Stream were found to be quite high compared with the tributaries of Ankara Stream. The highest mean Gd concentration (0.347 ± 0.057 μg/L) measured in this study was higher than that of at the most rivers in the world. There was no statistically significant difference between the stations in terms of Gd concentrations in the sediment samples. As a result of this study, it was revealed that Gd can be used as an indicator parameter in the monitoring of anthropogenic pollution of aquatic environment where potential Gd pollution sources.The present study was conducted to examine the protective effect of olive leaf extract (OLE) against glycerol-induced oxidative stress in rats. Sixty male albino rats were used and allocated randomly into four groups, each of 15 rats. Groups (1) and (2) were administered intraperitoneally (i.p.) a single dose of 500 μL normal saline and hypertonic glycerol solution (10 mL/kg b.wt., 50% v/v, in sterile saline), respectively, followed by a 24-h period of water deprivation. Group (3) was orally given OLE (500 mg/kg b.wt.) for 22 days and glycerol as mentioned above on the 14th day of OLE administration followed by a 24-h period of water deprivation. Group (4) was administered OLE alone. Five rats from each group were sacrificed and samples were collected 1, 5, and 8 days after water deprivation. Alterations in hematobiochemical parameters, renal and hepatic oxidative stress markers, as well as histopathology of the kidney and liver, were evaluated. Glycerol treatment resulted in significant hematological and biochemical alterations as well as significant renal and hepatic oxidative stress. Administration of OLE has significantly ameliorated renal dysfunction, morphological alterations of kidney and liver, and relieved the oxidative stress. These findings show obviously the role of oxidative stress and its relevance to renal dysfunction and suggest the ameliorative impact of OLE in glycerol-induced acute kidney damage in rats, possibly due to its antioxidant properties.Plant height is among the most important agronomic traits influencing crop yield. Wheat lines carrying Rht genes are important in plant breeding due to their both higher yield capacity and better tolerance to certain environmental stresses. However, the effects of dwarf-inducing genes on stress acclimation mechanisms are still poorly understood. Under the present conditions, cadmium stress induced different stress responses and defence mechanisms in the wild-type and dwarf mutant, and the mutant with the Rht-B1c allele exhibited higher tolerance. selleckchem In the wild type after cadmium treatment, the abscisic acid synthesis increased in the leaves, which in turn might have induced the polyamine and proline metabolisms in the roots. However, in the mutant line, the slight increment in the leaf abscisic acid content accompanied by relatively high salicylic acid accumulation was not sufficient to induce such a great accumulation of proline and putrescine. Although changes in proline and polyamines, especially putrescine, showed similar patterns, the accumulation of these compounds was antagonistically related to the phytochelatin synthesis in the roots of the wild type after cadmium stress. In the dwarf genotype, a favourable metabolic shift from the synthesis of polyamine and proline to that of phytochelatin was responsible for the higher cadmium tolerance observed.In recent years, global climate change caused by carbon dioxide emissions has attracted more and more attention. Adjusting the energy mix by predicting energy demands is currently a more effective way to address climate issues and energy supply issues. Based on the panel data from 1999 to 2018 in China, this paper designed a new hybrid prediction model to predict the future electricity consumption of Chinese residents by double improvement of particle swarm optimization. By comparing with the BP neural prediction model without mixing and several BP neural prediction models with other improved and mixed forms, the results show that the BP neural network hybrid prediction model with DPSO-BP is more suitable for forecasting the electricity consumption of Chinese residents. At the same time, the prediction results of the DPSO-BP prediction model show that the annual electricity consumption of Chinese residents will increase from 9685 (100 million kWh) in 2018 to 13,171 (100 million kWh) in 2025 in the next 7 years. The research results provide a reference for future scholars in the design of algorithms and provide suggestions for the government to adjust energy and avoid severe power shortages or surpluses. Graphical abstract In this paper, a new hybrid prediction model is established to predict the annual electricity consumption of Chinese residents. To achieve the research purposes, a brief flowchart of the work of this study is shown in Fig. 1.The paper investigates the potential of circular economy of authorized e-waste collectors, dismantlers, and recyclers of Maharashtra. The study determines the drivers and barriers associated with e-waste collection in the region. Furthermore, it explores the handling techniques including dismantling, recycling, and scrap disposal. This is done through a case study of a recycling company based in Mumbai, Maharashtra. A questionnaire-based survey is used to study e-waste processing units. The qualitative analysis of the questionnaire shows that lack of awareness of environmental impact is the greatest constraint in the collection of e-waste and data security is the most crucial driver for enhancing the collection of e-waste. The case study reveals that the quantity and type of e-waste are more important than the distance between the processing unit and the collection point. It discloses that the primary factor for building trust between e-waste collectors and waste holders is data security.Novel hydroxylated UIO-66 for gaseous elemental mercury (Hg0) removal has been considered to be an emerging method because of its economical and reusable property. Density functional theory studies were investigated to reveal the enhanced heterogeneous interaction mechanisms between mercury and hydroxylated UIO-66 with and without the presence of H2O2 vapor. The adsorption and dissociation of H2O2 and the generation mechanism of surface hydroxyls on UIO-66 were investigated. Results indicated that H2O2 preferred to disconnect the O-O bond followed by the generation of two hydroxyls in the presence of H2O2. The hydroxyl adsorbed on UIO-66 and formed the UIO-66 hydroxylation product. The interaction performances between Hg0, H2O2, and UIO-66 as well as the interaction performances between Hg0 and hydroxylated UIO-66 systems were both evaluated through binding energy and the Mulliken charge analysis. Interacted energies indicated thermodynamically favorable processes of Hg-OH formation on hydroxylated UIO-66. The Mulliken charge changes revealed an oxidative process of mercury.