This cross-sectional study was conducted to estimate the mean blood lead levels (BLL) and prevalence of lead toxicity in a representative sample of schoolchildren and children residing in an urban slum. In addition, the association of potential environmental risk factors with elevated BLL was studied. Children aged 4-6 years were selected from schools of the South zone of Delhi (n = 125) and from an urban slum (n = 65). Risk factors were recorded using a pre-tested questionnaire and blood lead and zinc protoporphyrin (ZPP) levels were estimated. The mean BLL was 7.8 microg/dl (SD 3.9) and the proportion of children with blood lead > or = 10 microg/dl was 18.4 per cent. Distance of the residence or school from a main road appeared to be associated with higher blood lead concentrations, but these differences were not statistically significant. In our setting, vehicular pollution may be a major contributing factor in lead contamination of the environment.
Big data analytics is becoming tremendously popular in every field today. Everyday lots of data are being generated and analyzed using big data analytics tools and technique. Here the technology used is apache spark and language used is S cala. S o, in this paper study is being done on the behalf of research done in stock market data using apache spark technique. Here the nifty-50 data is taken to analyze the impact due to covid-19. As it is being seen that Covid-19 has affected almost everything around the globe, so the purpose is to analyze its effect on stock market. Thereafter comparison is done between the techniques used to analyze that massive volume of stock exchange data. Here the comparative analysis between Hadoop maps-reduce and apache spark on the behalf of some important parameter is being done. That concludes which technique is better for the analysis of the stock exchange data.
Welding of modified 9Cr-1Mo(V-Nb) steel plates has been carried out by shielded metal arc (SMA) and gas tungsten arc (GTA) welding processes. The welding has been carried out using different preheating temperatures followed by employing post weld heat treatment (PWHT) at different temperatures. The microstructures of the weld and heat affected zone (HAZ) of the weld joints have been studied under optical microscope and correlated with the temperatures of the pre and post weld heating. The property of the weld joint has been primarily characterised by studying variation in hardness across the weld joint. Average hardness of the weld and different regions of HAZ are evaluated and also correlated with the temperatures of the pre and post weld heating. The tensile and C V -impact toughness properties of the weld joints are also studied and correlated to the preheating and PWHT temperatures. At a given preheating the tensile and impact toughness properties of the SMA and GTA weld joints observed under different PWHT are compared and correlated to their microstructures. The increase of preheating and PWHT coarsened the microstructures of weld and HAZ and significantly influenced the properties of the weld joints. The moderate preheating and PWHT at about 523 K and 1 023 K respectively gave optimum tensile properties of the SMA welds. The toughness of weld deposit of 9Cr-1Mo grade alloy was improved by PWHT at high temperature in presence of its modification by addition of V and Nb.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.