Oneill Offersen (slipronald0)

3 million km2 in the Yangtze River basin.The quest for improved environmental quality through low-carbon emission has been explored in this study in the wake of the growing call for a transition to renewable energy use amidst widening trade relations between Turkey and the countries in the Caspian region including Azerbaijan, Iran, Kazakhstan, Russia, and Turkmenistan. This study draws strength from the United Nations Sustainable Development Goals (UN-SDGs) and their impact by 2030. These SDGs encompass pertinent targets on responsible energy consumption (SDG-12), access to clean and affordable energy (SDG-7), and climate change action (SDG-13). Empirical evidence from the dynamic ordinary least squares (DOLS) technique corroborated by the fully modified ordinary least squares (FMOLS) technique shows that a percent rise in renewable energy consumption level significantly abates carbon emission among these countries by about 0.26% while growing globalization vis-à-vis a percent increase in openness to trade significantly hampers environmental quality via inducement of carbon emission level by 0.32%. Extended findings from the Granger causality analysis corroborate the significance of the long-run coefficients with regard to the double-edged benefits of renewable energy consumption in enhancing both environmental quality and income levels through lower carbon emission and sustainable economic growth stimulations among the countries. The study confirmed the inverted U-shape relation between income growth and environmental deterioration, thus validating the EKC hypothesis for Turkey and the Caspian countries. This suggests that both blocs are still at the scale stage of their growth trajectory, where the emphasis is focused on increasing income level relative to environmental sustainability. As such, important policy measures were provided in the concluding section of this study.Hexachlorocyclohexane (HCH) is a persistent organochlorine pesticide that poses threat to different life forms. Sphingobium indicum B90A that belong to sphingomonad is well-known for its ability to degrade HCH isomers (α-, β-, γ-, δ-), but effects of HCH isomers and adaptive mechanisms of strain B90A under HCH load remain obscure. To investigate the responses of strain B90A to HCH isomers, we followed the proteomics approach as this technique is considered as the powerful tool to study the microbial response to environmental stress. Strain B90A culture was exposed to α-, β-, γ-, δ-HCH (5 mgL-1) and control (without HCH) taken for comparison and changes in whole cell proteome were analyzed. In β- and δ-HCH-treated cultures growth decreased significantly when compared to control, α-, and γ-HCH-treated cultures. HCH residue analysis corroborated previous observations depicting the complete depletion of α- and γ-HCH, while only 66% β-HCH and 34% δ-HCH were depleted from culture broth. Comparative proteome analyses showed that β- and δ-HCH induced utmost systemic changes in strain B90A proteome, wherein stress-alleviating proteins such as histidine kinases, molecular chaperons, DNA binding proteins, ABC transporters, TonB proteins, antioxidant enzymes, and transcriptional regulators were significantly affected. Besides study confirmed constitutive expression of linA, linB, and linC genes that are crucial for the initiation of HCH isomers degradation, while increased abundance of LinM and LinN in presence of β- and δ-HCH suggested the important role of ABC transporter in depletion of these isomers. These results will help to understand the HCH-induced damages and adaptive strategies of strain B90A under HCH load which remained unravelled to date.Obtaining accurate data on reference crop evapotranspiration (ET0) is important for agricultural water management. A novel Gaussian exponential model (GEM) was developed in this study to predict ET0 with limited climatic data. The GEM was further compared with the M5 model tree (M5T), extreme learning machine (ELM), an