This study aims to capture groundwater potential zones integrating deep neural network and groundwater influencing factors. The present work was carried out for Gopi khola watershed, mountainous terrain in Nepal Himalaya as the watershed mainly relies upon the groundwater assets; it is a need to explore groundwater potential for better management of the aquifer framework. Ten groundwater influencing factors were collected such as elevation, slope, curvature, topographic positioning index, topographic roughness index, drainage density, topographic wetness index, geology, lineament density, and land use thematic layers. Among those influencing factors, topographic roughness index was removed because of multicollinearity issue to reduce the dimension of the dataset. A spring inventory map of 145 spring locations was prepared using field survey method and an equal number of spring absence points were randomly generated. The 70% of spring and spring absence pixels were used as training dataset and remaining as test dataset. The final map was created based on predicted probabilities ranging from 0 to 1. The validation was done using the receiver operating characteristic curve, which shows that the area under the curve is 76.1% for the training dataset and 82.1% for the test dataset. The sensitivity analysis was performed using Jackknife test which shows that the lineament density is the most important factor. The experimental results demonstrated that deep neural network is highly capable to capture groundwater potential zone in mountainous terrain. The present study might be useful and preliminary work to exploit the groundwater. The consequences of the current study may be valuable to water administrators to settle on appropriate choices on the ideal utilization of groundwater assets for future arranging in the basic investigation zone.

Heat-related illnesses (HRIs), mainly heat exhaustion (HE) and heat stroke (HS), are characterized by an elevation of core body temperature. In this study, we aimed to explore the HRIs’ types and patient characteristics among a sample taken from various representative in-field points in the Hajj season. A cross-sectional study was conducted in 2018 at 80 data collection points distributed in the field. Data related to demographics, features and risk factors were collected and analyzed from all encountered cases with suspected HRIs. Moreover, we developed a diagnostic tree for HRIs by using the XGBoost model. Out of the 1200 persons encountered during the study period, 231 fulfilled the criteria of HRIs spectrum and were included in this study. Around 6% had HS and 20% had HE. All HS cases (100%) were from outside of Saudi Arabia as compared with 72.5% diagnosed with HE (27.5% were from Saudi Arabia). In addition, 16% were considered as heat-induced muscle spasms, and 7% had limb heat edema. Additionally, most of HRIs cases were reported between 11 am and 1 pm. The HRIs diagnostic tree model gave a diagnostic accuracy of 93.6%. This study highlights the magnitude of HRIs among pilgrims in Hajj and provides a diagnostic tree that can aid in the risk stratification and diagnosis of these patients. We advise the implementation of more educational campaigns to pilgrims regarding preventable measures especially for the vulnerable groups (e.g. from outside Saudi Arabia, those with comorbidities and light-skinned people).

The plant association of Populus alba L. ‘Villafranca’, Brassica oleracea var. acephala sebellica (kale), and B. oleracea var. capitata ‘sonsma’ (cabbage) was exposed to Zn, Cd, and exogenous caffeine (¹³CFN)-contaminated water under growth chamber conditions. In the short term of treatment (15 days), poplar increased the root dry biomass (+ 25%) and decreased the chlorophyll content in new leaves (− 32%), compared to control. On the contrary, cabbage decreased the root dry biomass, enhancing the shoot dry biomass (+ 50%). Heavy metals were mainly concentrated in plant roots and in poplar reached the highest concentrations of 705 ± 232.6 and 338 ± 85.5 μg g⁻¹ DW for Zn and Cd, respectively. The ability of poplar to accumulate more Zn and Cd than kale and cabbage in plant biomass was confirmed by heavy metal contents, following the order: poplar > kale = cabbage. However, poplar and Brassica sp. association was very useful for Zn and Cd decontaminations as reported by the bioconcentration factors (> 1). The concentration of ¹³CFN was below 2.4 ng g⁻¹ FW in poplar and 7.4 ng g⁻¹ FW in Brassica species, suggesting the caffeine uptake and degradation by plant association. Under our experimental conditions, the removal efficiency of the system was upper to 79%, indicating the capability of Populus-Brassica association to efficiently remove Zn, Cd, and ¹³CFN from mixed inorganic-organic–contaminated water in short term.

Umbelliferone (UMB; 7-hydroxycoumarin) is a natural compound that exhibited a diversity of pharmacological activities. Its protective effects against various ischemia/reperfusion (IR) injuries, including heart, kidney, and testis, have been observed. However, their effect on hepatic IR is still not investigated yet. Here, this study was conducted to examine the potential protective role of UMB during the early phase of hepatic IR injury via targeting Keap-1/Nrf-2/ARE and its closely related signaling pathway, TLR4/NF-κB-p65. Experimentally, forty Wistar albino rats were randomly divided into 4 groups: Sham control group (received 1% carboxymethyl cellulose as a vehicle), UMB group (30 mg/kg/day, P.O.), IR group (subjected to complete hepatic IR injury), and IR + UMB group. Our results revealed that oral UMB effectively reduced the serum levels of ALT, AST, ALP, and LDH along with the restoration of oxidant/antioxidant status. At the molecular level, UMB markedly activated Nrf-2 expression and its down-streaming targets: HO-1, NQO1, GCLC, SOD3, and TNXRD1, along with Keap-1 down-regulation. Besides, UMB significantly down-regulated NF-κB-p65 and TLR4 expressions with subsequent decreased TNF-α and IL-1β levels coupled with the up-regulation of the IL-10 level. Finally, biochemical findings were confirmed by attenuation of histopathological changes in liver tissues. Together, UMB is a promising agent for the amelioration of liver tissues against IR-induced oxidative injury through activation of the Keap-1/Nrf-2/ARE signaling pathway along with suppression of its closely related signaling pathways: TLR4/NF-κB-p65. Illustrated diagram explored the prospective underlying protective mechanism of UMB against IR-induced hepatic damage.

This study first attempts to use the parameterized quadratic directional distance function (DDF) approach to calculate China’s provincial carbon abatement cost and carbon reduction potential (CRP) under different scenarios from 2000 to 2017. Afterward, considering three different scenarios, we analyze the spatio-temporal characteristics and the dynamic evolution pattern of CRP. We also employ spatial Durbin model (SDM) to investigate the influencing factors of CRP. The results are obtained as follows: (1) CRP across the three scenarios varies considerably across provinces and different-located groups. CRP higher areas are mainly located in the economically developed eastern coastal regions, while most provinces with low CRP are concentrated in the western region. (2) Provinces with a similar CRP showed a significant geographic agglomeration, and the agglomeration effect was strengthened first and then weakened. Simultaneously, the local spatial distribution of moderation carbon reduction potential (MCRP), fairness carbon reduction potential (FCRP), and efficiency carbon reduction potential (ECRP) shows a slight spatial polarization feature. (3) Through the SDM analysis and spillover effect decomposition, we find that improvement of regional CRP not only depends on economic development, industrial structure adjustment, and energy efficiency elevation, but also involves energy structure optimization, low-carbon innovation, and population. The low-carbon innovation provides critical support for local CRP under the efficiency scenario but restrains the local CRP under the fairness scenario. Therefore, the central government should emphasize local conditions and the ex-ante scenario assessment, strengthen regional interactive governance, optimize energy efficiency, and promote the application of clean energy to enhance CRP.

From the perspective of improving the environmental benefits of the supply chain, in this paper, the evaluation index system of manufacturing cloud service is established. It is oriented to the environmental benefits of the supply chain and takes into account the environmental indicators of the candidate providers. The fuzzy DEMATEL modified entropy method is used to calculate the comprehensive weight of the evaluation index. Then, the candidate manufacturing cloud service providers are selected based on gray relational analysis to ensure the rationality of the evaluation results. The evaluation system not only objectively considers the situation of each supplier but also reflects the platform’s emphasis on low-carbon environmental factors. Finally, this paper takes the seat suppliers’ selection problem in the supply chain of Tianjin industrial cloud automotive mold supply chain as examples to verify the practical significance of this model. At the same time, this paper can provide ideas for the application of cloud manufacturing mode and the solution of supply chain environment problems.

To further reduce carbon emissions, supply chain members implement the low-carbon production process and use varieties of contracts to coordinate the channel. Considering the effect of emission reduction, this paper studies a two-echelon supply chain consisting of one manufacturer and one retailer. Two supply chain members dedicate to maximize profits by reducing their products’ carbon emissions under two different contracts: the wholesale price contract and the consignment contract. The Stackelberg differential game is used, and the optimal strategies of emission reduction effort, wholesale, and retail price in the two situations are studied. The results show that the Pareto improvement for the whole supply chain can be reached under the consignment contract. However, the specific impacts on the retailer and the manufacturer are different. When consumers have a higher level of environmental awareness, the retailer tends to decrease her proportion of sales revenue under the consignment contract. At that time, choosing the wholesale price contract is more favorable for the retailer. However, as the retailer’s proportion of sales revenue becomes lower, the proportion of revenue belonging to the manufacturer will increase. It would be better for the manufacturer to choose the consignment contract.

One of the most common toxicant prevailing in our environment is the arsenic. The present study is an attempt to investigate the effects of some of the common flavonoids, such as biochanin A (BCA), phloretin, and epigallocatechin-3-gallate (EGCG), on arsenic toxicity in the Swiss albino mice. For this purpose, mice were orally treated with sodium meta-arsenite (20 mg/kg bw/day), along with co-administration of BCA (50 mg/kg bw/day), phloretin (50 mg/kg bw/day), and EGCG (40 mg/kg bw/day) for the 2-week duration. All the mice were euthanized at the end of the treatment period, and the observations were made in the following parameters. Arsenic reduced the sperm motility as compared with the control (p < 0.05) and was restored back to the normal status with the flavonoids treatment significantly (p < 0.05). The arsenic concentrations in the kidney and liver tissues were found significantly reduced with all the flavonoids co-treatment (p < 0.001). There was a reduction in the levels of superoxide dismutase (SOD), reduced glutathione (GSH), and glutathione S-transferase (GST) antioxidant markers, with the increased lipid peroxidation (LPO), protein carbonyl content (PCC), and catalase (CAT) levels in the arsenic-intoxicated mice performed in the different tissues. The biochemical homeostasis alterations were well correlated with the estimations of cholinesterase enzyme levels in the brain tissues (p < 0.05) along with DNA damage analysis (Comet) carried out in the blood cells (p < 0.05). These above results are well corroborated with the histopathological findings performed in the brain tissue, along with the increased upregulation seen in the Nrf2 signalling, with all the flavonoid co-treatment carried in the kidney tissue. The administration of BCA, phloretin, and EGCG, in a major way, reversed the alterations in the abovementioned parameters in the arsenic-intoxicated mice. Our findings revealed the beneficial effects of the flavonoids against the arsenic-induced toxicity, due to their ability to enhance the intracellular antioxidant response system by modulating the Nrf2 signaling pathway.

Because ‘border carbon adjustment (BCA)’ may violate the presently operational National Emission Inventory (NEI) accounting practised under the United Nations Framework Convention on Climate Change (UNFCCC) which is based on territorial production–based emission reduction responsibility approach, this study intends to investigate the implications of BCA imposition on the exports from a developing country under a territorial consumption-based alternative framework. With this alternative framework of accounting, the study assumes the BCA-burdened developing country to implement ‘domestic carbon adjustment (DCA)’ measures and experiments by applying a static ‘computable general equilibrium (CGE)’ modelling. The result from this study indicates that the closer the rates of BCA and the DCA, the more effective the carbon adjustment schemes are to reduce the emission intensity of energy use. The stricter carbon adjustment measures also found changing the energy consumption pattern of productive sectors by inducing the emission-intensive sectors to switch towards low-emission intensive natural gas. The study recommends the implementation of DCA measures for a developing country as stricter as compared to the foreign standards in a consumption-based framework to make the carbon adjustment initiatives more effective.