A Qualitative Study on the Social Impact of Industrialisation in Badli

The article aims to investigate and analyze the social impact of industrialization on Badli. Badli is one of the largest industrial zones in Delhi which also bears large slums neighboring to the industries. The literature available on the area is also limited to news articles and government reports, thus further research on Badli is required. The social implications were examined through naturalistic observational research and unstructured interviews of 10 individuals from Badli. Using thematic analysis and secondary data analysis the data was interpreted into common themes and key ideas. The analysis showed most Industries in Badli are unauthorized and have issues such as unemployment, child labor, hazardous working conditions, nominal wages, producing illegal substances and lack of healthcare management. People living in the neighboring slum areas suffer from issues such as poor health care facilities, below par educational infrastructure, high crime rates, harmful drainage and ventilation services, congested housing structures, economic disparity, and toxic family environment. Thus Industrialization has deeper implications on the society of Badli which can be attributed to the influx of migrants, industries and poor governance by the administrative authorities to control and manage the industrial process in Badli. It can be concluded that there is a huge correlation between social change and industrialization. Further studies are required to create socio-economic policies catering to the situation in Badli for a long-lasting sustainable effect on the area

Including parameter dependence in the data and covariance for cosmological inference

The final step of most large-scale structure analyses involves the comparison of power spectra or correlation functions to theoretical models. It is clear that the theoretical models have parameter dependence, but frequently the measurements and the covariance matrix depend upon some of the parameters as well. We show that a very simple interpolation scheme from an unstructured mesh allows for an efficient way to include this parameter dependence self-consistently in the analysis at modest computational expense. We describe two schemes for covariance matrices. The scheme which uses the geometric structure of such matrices performs roughly twice as well as the simplest scheme, though both perform very well.Comment: 17 pages, 4 figures, matches version published in JCA