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Aguilar Adcock posted an update 6 months, 3 weeks ago
The purpose of this research is to measure the combing impact of corporate social responsibility on company performance and to conduct a comparative analysis among local and foreign companies in this context. This research aims to conduct an empirical analysis about how corporate social responsibility contributes to company performance. The study utilizes AHP and fuzzy TOPSIS theory to conduct research. MGH-CP1 inhibitor The results revealed that environmental corporate social responsibility has a vital role in the development of organizational reputation and employee commitment. It can be observed from the results that the weights of environmental CSR, corporate CSR, financial CSR, and social CSR are 0.30, 0.25, 0.24, and 0.21, respectively. The preference of these four criteria is environmental CSR > corporate CSR > financial CSR > social CSR. The corporate CSR criterion got the maximum weight of 0.30, whereas the social CSR criteria received the lowest weight of 0.21. The financial CSR get weights of criteria 0.25, and the commercial potential obtained 0.24 weights, while the financial CSR got the 2nd highest criteria weight of 0.25, and the social CSR get weights of criteria 0.21 lowest weighted. The research provides valuable information for decision-makers. The study provides a valuable information for policy makers.In this work, copper hexaferrite (CuFe12O19) nanostructures are successfully synthesized by the sol-gel autocombustion route. Two natural reagents containing pomegranate and beetroot juices are used as green and eco-friendly fuels for synthesis of the nanostructures. The nanostructures are characterized by different techniques such as X-ray diffraction (XRD), energy-dispersive X-ray (EDX), field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FT-IR), vibrating sample magnetometry (VSM), and diffuse reflectance spectroscopy (DRS). The results show an appropriate amount of pomegranate juice as a fuel source creating a suitable route for synthesis of CuFe12O19 nanostructures. Therefore, the nanostructures are applied for degradation of different water contaminants containing eosin, erythrosine, rhodamin B, and methyl violet dyes. The comparison of the results shows that the nanostructures are a good photocatalyst for degradation of erythrosine. Therefore, green CuFe12O19 nanostructures can be a good candidate as UV light catalyst for removal of wastewater contaminations.In the scope of the study, the protective effect of hesperidin (HES), a flavanone glycoside, was investigated against sodium arsenite (NaAsO2, SA) induced heart and brain toxicity. For this purpose, 35 Sprague-Dawley male rats were divided into 5 different groups, 7 in each group. Physiological saline was given to the first group. Dose of 200 mg/kg of HES to the second group, 10 mg/kg dose of SA to the 3rd group, 100 mg/kg HES and 10 mg/kg SA to the 4th group, 200 mg/kg HES, and 10 mg/kg SA to the 5th group were given orally for 15 days. At the end of the study, biochemical, histopathological, and immunohistochemical examinations were performed on the heart and brain tissues of the rats. According to the results, SA increased malondialdehyde (MDA) and 8-hydroxy-2′-deoxyguanosine (8-OHdG) levels and decreased glutathione (reduced, GSH) level and superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx) activities in both tissues. Also, it increased cardiac lactate dehydrogenase (LDH) and creatine kinase isoenzyme-MB (CK-MB) activities and cardiac troponin-I level (cTn-I), cerebral acetylcholine esterase activity, nuclear factor kappa-B (NF-κB), tumor necrosis factor-alpha (TNF-α), interleukin-one beta (IL-1β), and cysteine aspartate-specific protease-3 (caspase-3) levels. In addition, as a result of histopathological examination, it was determined that SA damaged tissue architecture, and as a result of immunohistochemical examination, it increased cardiac Bcl-2-associated X protein (Bax) and cerebral glial fibrillary acidic protein (GFAP) expression. The results have also shown that HES co-treatment has an antioxidant, anti-inflammatory, antiapoptotic effect on SA-induced toxicity and aids to protect tissue architecture by showing a regulatory effect on all values. Consequently, it was determined that HES co-treatment had a protective effect on SA-induced heart and brain toxicity in rats.Increasing groundwater salinity has recently raised severe environmental and health concerns around the world. Advancement of the novel methods for spatial salinity modeling and prediction would be essential for effective management of the resources and planning mitigation policies. The current research presents the application of machine learning (ML) models in groundwater salinity mapping based on the dichotomous predictions. The groundwater salinity is predicted using the essential factors (i.e., identified by the simulated annealing feature selection methodology) through k-fold cross-validation methodology. Six ML models, namely, flexible discriminant analysis (FDA), mixture discriminant analysis (MAD), boosted regression tree (BRT), multivariate adaptive regression spline (MARS), random forest (RF), support vector machine (SVM), were employed to groundwater salinity mapping. The results of the modeling indicated that the SVM model had superior performance than other models. Variables of soil order, groundwater withdrawal, precipitation, land use, and elevation had the most contribute to groundwater salinity mapping. Results highlighted that the southern parts of the region and some parts in the north, northeast, and west have a high groundwater salinity, in which these areas are mostly matched with soil order of Entisols, bareland areas, and low elevations.In this study, the simultaneous degradation of antibiotics (ampicillin, sulfamethazine, and tetracycline; and non-steroidal anti-inflammatories (diclofenac and salicylic acid)) including the total organic carbon abatement by solar photoelectro-Fenton process was assessed. Eight liters of solution containing the mixture of the five pharmaceuticals in 1 mmol L-1 Fe2+, 0.05 mol L-1 Na2SO4 at pH 3 and 35 °C were electrolyzed applying different current densities (j = 10, 25, and 50 mA cm-2) in a solar-electrochemical pilot plant. The pilot plant was equipped with an electrochemical filter press cell with a dimensionally stable anode (DSA type) and an air-diffusion cathode coupled to a solar photoreactor exposed directly to sunlight radiation. All pharmaceuticals were degraded during the first 10 min. A TOC removal efficiency of 99.2% after 100 min of treatment with an energy consumption of 534.23 kW h (kgTOC)-1 and 7.15 kW h m-3 was achieved. The pharmaceutical concentration decay followed a pseudo-first-order kinetics.
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