Manufacturing simulation is an encouraging research area in resent decade. Creation or development of better simulation tool or technique is one of the major intension in manufacturing simulation. In resent research most of the manufacturing processes are simulated successfully. But some processes are not yet simulated effectively, especially automatic air conditioning (AC) system or refrigeration system. The automatic AC system for the passenger vehicle are not yet effectively simulated. Hence in this paper a machine learning technique is adopted for the effective prediction of parameter of automatic AC system. The proposed system uses k-nearest neighbour technique for the prediction of parameter will less error and high accuracy. The proposed system is implemented using MATLAB and its performance is compared with the support vector machine and ANN in terms of mean square error and accuracy. The proposed technique outperforms the conventional technique and suggest that the k-nearest neighbour become the most suitable technique for the modelling and performance analysis of automatic AC system.

Introduction: Undernutrition continues to be a major public health problem throughout the world. Higher birth order of the child contributes to higher chance of being undernutrition. But, the relationship between birth order and undernutrition has not been fully studied and understood, especially in India where the fertility rate was high. Aim: To understand the prevalence and determinants of undernutrition using National Family Health Survey-4 (NFHS-4) India. Materials and Methods: A national cross-sectional survey was conducted during January 2015 to December 2016. This study used information from a total weighted sample of 128859 children from India NFHS-4. Univariate and multivariate binary logistic regression were used to investigate the association of undernutrition with birth order, other child, maternal and socio-economic factors. Three models were constructed for the study, model 1 as univariate, model 2 adjusting with birth order and socio-economic predictors and model 3 adjusting with all the predictors included in the study. Results: Of the 128859 children, median Inter Quartile Range (IQR) age was 26 (16-41) months with female/male ratio was 1:1.2. The prevalence of stunting, underweight and wasting was 37.93% (95% Confidence Interval (CI) 37.67-38.20), 34.02% (95% CI 33.76-34.28) and 20.70% (95% CI 20.48-20.92), respectively. Model-1, 2 and 3 showed that the child's higher birth order was found to have higher odds of being stunted and underweight compared with first born children. Children with lower wealth quintiles, male, vaginal delivery had higher odds of being stunted, wasted and underweight in the model-3 adjusted analysis. Conclusion: This study indicates that higher birth order was a significant predictor of a child being stunted and underweight, as it is significant in all three models. However, further longitudinal studies are required to establish a cause-effect relationship between birth order and undernutrition and future interventions to prevent undernutrition should consider birth order as an important factor.

Background: Sterilization is a permanent birth control method, with nearly twice as many couples, are choosing female sterilization over male sterilization. Vasectomy is a safe, cheaper, less complicated, and simple procedure in permanent sterilization methods than tubectomy. Aim and objective: To assess attitude, awareness, and knowledge of vasectomy among married men in urban slums of Chennai, Tamil Nadu. Materials and methods: It is a descriptive cross-sectional study carried among married men in the urban slums of Chennai age 21-49. Simple random sampling is used to select the respondents. Descriptive analysis was done using appropriate R studio software. Results: Among our 132 respondents, most of them are from 20 to 29 (40.90%). About 84% of the participants heard about vasectomy. Awareness of contraceptive methods is mostly through television (75%) and by their family and friends (72%). Our study discovered a gap in the knowledge and attitudes toward vasectomy, which the study revealed that respondents had moderate knowledge but had a negative attitude toward vasectomy. Conclusion: Many men believe that avoiding pregnancy is exclusively the woman's responsibility. Men and women differed in their experience of sterilization. Family and physicians have an important role in ensuring that women know contraception options before the sterilization procedure. Adequate health education campaigns and regular counseling can bring out positive attitudes among people on vasectomy in the future.

No abstract

Tribes are the most vulnerable, particularly in healthcare. Health research in a population helps to understand the trends of various diseases and other social determinants causing them. Our study aims to perform a bibliometric analysis of Tribal research in India from its status quo. Materials and Methods: Research articles on tribal health were retrieved from Scopus and analyzed using MS Office, VOS viewer, and Word Cloud generator from January 2000 to December 2020. The number of research publications published each year, the clustering pattern of contributing authors, the most popular journals, the leading publication, document type, domain research areas, and commonly used keywords were all considered in the study. Results: As a result of the search, 1249 research publications were found. According to our selection criteria, only 395 research papers were included in the analysis. Approximately 43 research publications were published in 2020, but only three articles were published in 2000. Almost 35.7% of articles were published in traditional medicine, and 15.7% and 14.7% of articles were published in nutrition and infectious diseases. Less than 1% of articles were published in Health Policy, and 1.5% were published in Health Systems. Conclusions: The study results showed that the research on tribes has now been improving in the following years. Research into tribal mental health and health care systems should be encouraged. Collaboration and funding may assist academic institutions in raising awareness of health issues in these populations.