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The present review aims to elucidate and discuss various advantages and challenges of nanotechnology applications in fish cultures. Also, it points to green nanotechnology as a promising alternative to chemical ones.The present study attempts to measure wetland habitat vulnerability (WHV) in the Indian part of mature Ganges delta. Predictive algorithms belonging to bivariate statistics and machine learning (ML) algorithms were applied for fulfilling the data mining and generating the models. compound 991 cell line Results show that 60% of the wetland areas are covered by moderate to very high WHV, out of which > 300 km2 belong to very high WHV followed by a high vulnerability in almost 150 km2. This areal coverage increases by 10-15% from phase II to phase III. On the other hand, a relatively safe situation is confined to less then 200 km2. The receiver operating characteristic curve, root-mean-square error, and correlation coefficient are used to assess the accuracy of these models and categorization of habitat vulnerability. Ensemble modeling is done using the individual models having a greater accuracy level in order to increase accuracy. A field-based model of the same is prepared by gathering information directly from the field which also exhibits similar results with the algorithm-based models. Analysis of residuals in standard regression strongly supports the relevance of the selected parameters and multi-parametric models.Rapid population growth and poor waste management practice are among the main drivers of plastic pollution in modern times, thus making Africa a hotspot for plastic pollution both now and in the future. This study is a review of plastic pollution reports from the African aquatic environment with regard to causes, current status, toxicological implications and implications for ecosystem services. A total of 59 plastic pollution studies from 1987 to September 2020 were reviewed. They comprised 15 from North Africa (NA) (Algeria, Egypt, Morocco and Tunisia), six from East Africa (EA) (Ethiopia, Kenya, Tanzania and Uganda), 13 from West Africa (WA) (Ghana, Guinea-Bissau, Mauritania and Nigeria), and 25 studies from Southern Africa (SA) (South Africa). This shows that plastic pollution studies in Africa, according to the sub-regions, are in the order SA > NA > WA > EA. High human population in the basins of African large aquatic systems is identified as the greatest driver enhancing plastic surge in the aquatic en ecotoxicological impacts of plastics on both animal and human health.The study empirically explores the long-run dynamic influence of output, tourism, energy use, trade, financial development, and urbanization on CO2 emissions in the framework of EKC for Asian economies for the time period 1995-2017. In this study, we tackle cross-sectional dependence problem and use CADF and CIPS unit root tests in contrast to conventional unit root tests. Moreover, we employ LM bootstrap panel co-integration test. The results of DOLS show that GDP and GDP squares have opposite signs which shows inverted u-shaped hypothesis between GDP growth and carbon emissions. We find an evidence of EKC proposition in case of Asian economies. Tourism has a vital role in increasing environment degradation of Asian economies as magnitude of coefficient is 0.132. Moreover, energy use, urbanization, trade, and financial development have direct and a profound impact on environmental degradation. The empirical results thus point to the fact that tourism, trade openness, and urbanization have contributed to the environmental degradation in the Asian region. Hence, the counties of the region should harness renewable energy sources along with environment-friendly technologies to support the tourism at a sustainable level that may be conducive to economic growth and environmental quality as well.The pandemic of coronavirus disease 2019 (COVID-19), caused by the novel coronavirus SARS-CoV-2, is generating a high number of deaths worldwide. One of the current questions in the field of environmental science is to explain how air pollution can affect the impact of COVID-19 pandemic on public health. The research here focuses on a case study of Italy. Results suggest that the diffusion of COVID-19 in cities with high levels of air pollution is generating higher numbers of COVID-19 related infected individuals and deaths. In particular, results reveal that the number of infected people was higher in cities with more than 100 days per year exceeding limits set for PM10 or ozone, cities located in hinterland zones (i.e. away from the coast), cities having a low average speed of wind and cities with a lower average temperature. In hinterland cities having a high level of air pollution, coupled with low wind speed, the average number of infected people in April 2020-during the first wave of the COVID-19 pandemic-is more than tripled compared to cities with low levels of air pollution. In addition, results show that more than 75% of infected individuals and about 81% of deaths of the first wave of COVID-19 pandemic in Italy are in industrialized regions with high levels of air pollution. Although these vital results of the first wave of the COVID-19 from February to August 2020, policymakers have had a low organizational capacity to plan effective policy responses for crisis management to cope with COVID-19 pandemic that is generating recurring waves with again negative effects, déjà vu, on public health and of course economic systems.This work investigated an innovative alternative to improve municipal wastewater treatment plant effluent (MWWTP effluent) quality aiming at the removal of contaminants of emerging concern (caffeine, carbendazim, and losartan potassium), and antibiotic-resistant bacteria (ARB), as well as disinfection (E. coli). Persulfate was used as an alternative oxidant in the solar photo-Fenton process (solar/Fe/S2O82-) due to its greater stability in the presence of matrix components. The efficiency of solar/Fe/S2O82- at neutral pH using intermittent iron additions is unprecedented in the literature. At first, solar/Fe/S2O82- was performed in a solar simulator (30 W m-2) leading to more than 60% removal of CECs, and the intermittent iron addition strategy was proved effective. Then, solar/Fe/S2O82- and solar/Fe/H2O2 were compared in semi-pilot scale in a raceway pond reactor (RPR) and a cost analysis was performed. Solar/Fe/S2O82- showed higher efficiencies of removal of target CECs (55%), E. coli (3 log units), and ARB (3 to 4 log units) within 1.