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n air pollution in Klang Valley, Malaysia.Soil heavy metal(loid) (HM) source apportionment is the prerequisite to develop suitable mitigation measures and make pollution control and prevention regulations. The selection of appropriate tools (models) for source analysis is crucial, that is especially true for large-scale regions, as the Pearl River Delta (PRD), due to the high spatial variability in soil parent materials, soil topographical feature, and wide range of anthropogenic activities. The objective of this study is to evaluate the potential applications of receptor models (positive matrix factorization [PMF] and Unmix) which have been widely used in air pollution research to quantitatively apportion sources of heavy metal(loid)s in the soils. To assist the interpretation of the derived factors (sources) of the receptor models, enrichment factors and GIS mapping were used to identify the potential relationships between the factor contributions and human activities in the study area. As the models are built on completely different algorithms, a comparative approach was adopted in addition to evaluate the impact of sample size on the model results. Factor profiles generated by different receptor models were quite similar as well as their corresponding factor contributions spatial distribution. Though the stability of their results decreases with a reduced sample size, the results of PMF were less significantly influenced by the sample size than those of Unmix. Due to the difficulty (time consuming and expensive) of soil sample collection in large-scale regions, the PMF model appears to be practically more effective than Unmix. In addition, further investigation is needed for Unmix model to understand the reason for its high sensitivity and determine an appropriate sample size.Whether financial agglomeration is conducive to improving the green efficiency of water resources is of great significance for China to realize water saving and consumption reduction, and green sustainable development. Based on the panel data of 30 provinces in China from 2006 to 2017, this paper uses the SBM model with undesirable output to measure the green efficiency of water resources in China and empirically examines the impact of financial agglomeration on the green efficiency of water resources. The results show that the green efficiency of water resources in China presents the "N" type fluctuation characteristic, and the overall trend is increasing. The mean value of green efficiency of water resources in China fluctuates around 0.6, which is at a medium level, and there is still a large room for improvement. Secondly, there are obvious spatial differences in China's green efficiency of water resources, showing a gradient of "Eastern&gt;Central&gt;Western." Thirdly, at the national level, financial agglomeration has a significant positive impact on the green efficiency of water resources, and there is an inverted "U"-shaped relationship between financial agglomeration and green efficiency of water resources. Fourthly, at the regional level, the impact of financial agglomeration on green efficiency of water resources has significant regional differences. Finally, based on the above conclusions, specific proposals for financial agglomeration to improve the green efficiency of water resources are put forward.This study investigates the effects of renewable energy (REN) consumption and non-renewable energy (NREN) consumption on economic growth in G7 countries with annual data covering the period 1980-2016 using a new panel data estimator that provides robust results under cross-sectional dependence, slope heterogeneity, and can be used whether series are integrated in different orders. In addition, the causality between the variables is analyzed with the panel bootstrap Granger causality method takes cross-sectional dependency and slope heterogeneity into account. According to Cross-sectionally Augmented Autoregressive Distributed Lag (CS-ARDL) results, the coefficients of REN and NREN consumption are positive and statistically significant in both the short- and long-run. Furthermore, NREN consumption has a greater impact on enhancing economic growth than REN consumption. The panel bootstrap causality analysis reveals that the growth hypothesis (GH) is valid in REN in Canada, Italy, and the USA; neutrality is valid in REN in France, Japan, and the UK; the feedback hypothesis (FE) is valid for REN only in Germany. [https://www.selleckchem.com/products/marimastat.html learn more] For NREN, the GH is valid for Canada, France, and Germany; the conservation hypothesis (CH) is valid in Italy and the UK. Finally, the FH is valid in Japan and the USA.Nanotechnology has opened up a plethora of opportunities and has acquired extreme importance in a myriad of fields to produce enhanced materials. Their special properties make them sustainable for industrial purposes. One of the most crucial processes in the petroleum and geothermal industries is cementing. Various classes of Portland cement are used according to API classifications. The conventional Portland cement fails to perform its function at high pressure and high temperature (HPHT) conditions. Hence, various admixtures are used to improve its properties. HPHT conditions not only have a bad impact on Portland cement by affecting its rheological properties but also reduce its strength, porosity, and permeability. So, additives like nano silica are used to improve its properties. Better compressive strength, low porosity and permeability, higher yield stress, and reduced setting time are some of the major properties that improve by the use of nano silica. This paper discusses in detail the different types of cement, cementing processes, failure of Portland cement, and effect of nano silica as an admixture on the compressive strength, rheology, porosity, and permeability of the cement. Furthermore, the upcoming challenges in cementing are discussed along with future potential in this field.The aim of the manuscript was to demonstrate the efficacy of salicylic acid (SA) in abrogating the fluoride-induced oxidative damages in the susceptible rice cultivar, MTU1010. Prolonged exposure of seedlings to sodium fluoride (25 mg L-1) severely impaired growth and overall physiological parameters like germination percentage, biomass and root and shoot length and incited the formation of hydrogen peroxide that enhanced electrolyte leakage, formation of cytotoxic products like malondialdehyde and methylglyoxal and lipoxygenase activity. Exogenous application of SA (0.5 mM) enhanced the endogenous level of SA that restored the chlorophyll content and catalase activity and further escalated the activity of other enzymatic antioxidants (superoxide dismutase, guaiacol peroxidase, ascorbate peroxidase, glutathione peroxidase and glutathione S-transferase), formation of non-enzymatic antioxidants (anthocyanins, carotenoids, flavonoids, phenolics, ascorbate and reduced glutathione) and osmolytes (proline, amino acids and glycine betaine) that cumulatively maintained the integrity of membrane structure and homeostatic balance of the cells by scavenging the accumulated hydrogen peroxide.