A research is made about the health care system of squatter settlements in Brazil, in case of diseases and mortality. Definition of a squatter settlement is mentioned to make a beginning.The physical, the social and the legal defining characteristics of the squatter settlements are examined. The aim of this research is to analyze and compare the built form of squatter settlements in Brazil, focusing specifically on the health care system, kind of diseases and rate of mortality. Also, information about the living conditions in surrounding area will be given, to get an idea about the reasons of diseases.

The method of the research is to put forward the preexisting condition of Brazil about the health status, health care and diseases. Also, to analyse the mortality in squatter settlements and to make a literature review about the effort to provide public health and welfare in that region. Information was obtained about the infectious and chronic diseases, mortality and child health in Brazilian squatter settlements. Research was made on themortality rate, causes of death and disorders of the squatter settlements in Brazil. In conclusion, the method of the research was to put forward the preexisting condition of Brazil about the health status, health care and diseases. The importance of health benefits, social security, sanitation services and an organized health care system are mentioned to conclude this research about the Brazilian Squatter Settlements.

While enrolment is steadily increasing in Kenya, dropout rate continues to be high, with over 50% of the children, both boys and girls dropping out before completing the primary cycle. This paper analyses the cultural practices that contribute to the increasing dropout rates of girls in primary schools in Kajiado County of Kenya, by making detailed review of available literature. The past reviews on the school dropout phenomenon have been carried out regardless of gender and specific cultural practices that occasioned dropout rate among girls in primary school. This paper demonstrates that cultural practices contribute to increase dropout rate practically for female student. The conceptual framework provided in this study illustrates how cultural practices affect pupil’s educational outcome which consequently produce dropout among girls. The study recommends the development of appropriate policies and intervention strategies to improve enrolment and retention of girl child in primary schools in Kenya.

The major objective of this paper is to explore the changing nature of labour force by predicting occupational structural changes.Data for the study was obtained from the Quarterly Labour Force Survey conducted by the Department of Statistics in Sri Lanka. In this study, our main focus is on two aspects: first, percentage changes in employed population by major industry group and second, changes in current employed population by occupational group. In order to predict the employed population by major industry group, a trend analysis is performed. This study found that there has been a shift of the occupations from agricultural sector more towards the service sector also industry sector shows a moderate growth during the recent past. Therefore, the predictions made in this study reveal that employment in the service sector will continue to grow during the next 14 year period while trend for the industry sector would grow with a slower pace. Employed population in the agriculture sector will continue to decline. When predicting occupational structures, it was also observed that the occupations such as professionals, technicians and associate professionals, services and sales workers, plant or machine operators and assemblers would grow in to the future with an indication that more and more jobs will be created mainly in service and industry sectors. This analysis indicates that there will be a little shift from unskilled type workers to skilled workers at all levels. Although a shift from agriculture to industries is a feature that is usually observed during the first phase of the economic growth, Sri Lanka will show a different status by skipping the industry sector growth and then moving to services from agriculture directly. This can be seen as an economic achievement because Sri Lanka has started leap-frogging from an agrarian economy to a service economy. The study suggests that the major reason is feasibly Sri Lanka’s human capital, which is well-educated, and relatively low-priced labour which lead to lift the service sector and create more employment opportunities. Similarly, absence of capital goods industry to promote industrialization as well as the absence of market for industrialized goods could be other probable reasons. Therefore, the study hypothesizes that a greater demand for employment will be generated in the service sector while proportion of employed population in agricultural sector will gradually decline.

Business organisations must adopt to new technologies in order to improve business processes due to the advancement of computer technologies. Machine learning and Big Data processing are widely used in the software engineering industry to provide intelligent/automatic data processing solutions by reducing manual workloads. Therefore, this paper identifies machine learning tools that can be used to benefit organisations with service oriented architectures. Moreover, it proposes ML metrics that can be applied through a maturity model to support business process improvements for organisations following SOA.