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https://www.selleckchem.com/products/cftrinh-172.html Environment-friendly nature of E-vehicles (Electric Vehicles) coupled with higher energy efficiency has increased its popularity in the automotive industry. A detailed study has been conducted in this article to evaluate the role of the energy mix for electricity generation at the charging location on secondary carbon emissions from E-vehicles. The electric vehicle market is at a booming stage in India. Evaluation of Indirect carbon emissions was carried out for three energy mix scenarios in India, where the results showed that in the present energy mix scenario, emissions from E-vehicles will be more than that of conventional-fuel-based vehicles. An energy consumption model for the electric vehicle was also developed in this article using MATLAB SIMULINK, by considering road slope and driving conditions as input parameters. The developed model was tested for three driving conditions namely (i) Flat road at constant speed (ii) Extra Urban Driving Cycle (EUDC) and (iii) Real-time driving condition, to estimate the relation between energy consumption pattern and driving range with road slope. The results of simulation showed variation in the driving range of the E-vehicles with respect to input parameters like road slope and vehicle speed. Hence this model can be served as an effective tool for establishing charging stations at strategic locations. This article is protected by copyright. All rights reserved.Dissolved nickel (Ni) concentrations inhibiting the growth of juvenile great pond snails (Lymnaea stagnalis) have been documented to vary from about 1 to 200 µg L-1 Ni. This variability makes L. stagnalis either a moderately sensitive or the most sensitive freshwater species tested to date to chronic Ni exposure. Given the role of sensitive species in environmental risk assessment frameworks, it is particularly important to understand this variability, i.e. to characterize the factors that modulate Ni toxicity a

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