ROOFTOP RAINWATER HARVESTING POTENTIAL AT BHARATHIAR UNIVERSITY

Rapid urbanization, population growth, and climate change have escalated the demand for water resources, significantly widening the gap between water supply and demand. Among various strategies for water resource management, rainwater harvesting emerges as a sustainable and efficient solution. This study evaluates the rooftop rainwater harvesting potential of Bharathiar University Campus, Coimbatore, utilizing its 96,839 m² rooftop area as the catchment. Water demand for entire university was calculated by combining the supply of water to the use of all buildings, research laboratories and gardening from university water supply unit. The total rooftop rainwater potential was calculated combining total catchment area (m2), amount of rainfall (mm) and runoff coefficient. The analysis revealed that the campus rooftops could annually harvest 4,90,28,274 liters of rainwater. This harvested water has the potential to meet approximately one-fourth of the campus’s total water demand (13,36,91,625 liters), providing a viable strategy to alleviate water scarcity while reducing dependency on external water sources and groundwater extraction

Pattern of gynecological morbidity, its factors and Health seeking behavior among reproductive age group women in a rural community of Thiruvananthapuram district, South Kerala

Introduction: Gynecological morbidities constitute an important health problem among women of reproductive age group in India. Many of them did not seek care and bare it silently. Aims and Objectives: The purpose of this study was to measure the prevalence of self-reported gynecological morbidities among women of 15 to 45 years and to find out association with certain selected socio-demographic factors. This study also tried to study the health seeking behavior of women. Methodology: A population based cross sectional survey was conducted across Vakkom Panchayat, it’s area comes under Rural Health Centre of the Department of Community Medicine, Govt. Medical College, Thiruvananthapuram. A total of 540Women of 15 to 45 years was included in the study by two stage sampling technique. Results: Of the total, 199 {(36.85%) 95% CI -31.14, 42.94} women in the study reported at least one type of gynecological morbidity. Major morbidity reported was menstrual problems (25.0%). Prevalence of overall gynecological morbidities was found to be significantly more among women who married early (<18years) Adjusted OR 1.66 (95%CI- 1.05, 2.64).On subgroup analysis the factors like age group of women (below 30yrs), age at menarche below 13 years & presence of thyroid hormone disorders were found to be significantly (p<0.05) related to menstrual diseases in the regression model. Only 110 (55.3%) women sought treatment for any one of the morbidity. Majority took treatment from private hospitals. Conclusion: Prevalence of gynecological morbidities was high in this community. The data collected are valuable & could serve as preliminary data to pilot innovative delivery of gynecologic healthcare services

Pattern of gynecological morbidity, its factors and Health seeking behavior among reproductive age group women in a rural community of Thiruvananthapuram district, South Kerala

Introduction: Gynecological morbidities constitute an important health problem among women of reproductive age group in India. Many of them did not seek care and bare it silently. Aims and Objectives: The purpose of this study was to measure the prevalence of self-reported gynecological morbidities among women of 15 to 45 years and to find out association with certain selected socio-demographic factors. This study also tried to study the health seeking behavior of women. Methodology: A population based cross sectional survey was conducted across Vakkom Panchayat, it’s area comes under Rural Health Centre of the Department of Community Medicine, Govt. Medical College, Thiruvananthapuram. A total of 540Women of 15 to 45 years was included in the study by two stage sampling technique. Results: Of the total, 199 {(36.85%) 95% CI -31.14, 42.94} women in the study reported at least one type of gynecological morbidity. Major morbidity reported was menstrual problems (25.0%). Prevalence of overall gynecological morbidities was found to be significantly more among women who married early (<18years) Adjusted OR 1.66 (95%CI- 1.05, 2.64).On subgroup analysis the factors like age group of women (below 30yrs), age at menarche below 13 years & presence of thyroid hormone disorders were found to be significantly (p<0.05) related to menstrual diseases in the regression model. Only 110 (55.3%) women sought treatment for any one of the morbidity. Majority took treatment from private hospitals. Conclusion: Prevalence of gynecological morbidities was high in this community. The data collected are valuable & could serve as preliminary data to pilot innovative delivery of gynecologic healthcare services

Household, community, sub-national and country-level predictors of primary cooking fuel switching in nine countries from the PURE study

Introduction. Switchingfrom polluting (e.g. wood, crop waste, coal)to clean (e.g. gas, electricity) cooking fuels can reduce household air pollution exposures and climate-forcing emissions.While studies have evaluated specific interventions and assessed fuel-switching in repeated cross-sectional surveys, the role of different multilevel factors in household fuel switching, outside of interventions and across diverse community settings, is not well understood. Methods.We examined longitudinal survey data from 24 172 households in 177 rural communities across nine countries within the Prospective Urban and Rural Epidemiology study.We assessed household-level primary cooking fuel switching during a median of 10 years offollow up (∼2005–2015).We used hierarchical logistic regression models to examine the relative importance of household, community, sub-national and national-level factors contributing to primary fuel switching. Results. One-half of study households(12 369)reported changing their primary cookingfuels between baseline andfollow up surveys. Of these, 61% (7582) switchedfrom polluting (wood, dung, agricultural waste, charcoal, coal, kerosene)to clean (gas, electricity)fuels, 26% (3109)switched between different polluting fuels, 10% (1164)switched from clean to polluting fuels and 3% (522)switched between different clean fuels

Estimating Software Development Efforts Using a Random Forest-Based Stacked Ensemble Approach

Software Project Estimation is a challenging and important activity in developing software projects. Software Project Estimation includes Software Time Estimation, Software Resource Estimation, Software Cost Estimation, and Software Effort Estimation. Software Effort Estimation focuses on predicting the number of hours of work (effort in terms of person-hours or person-months) required to develop or maintain a software application. It is difficult to forecast effort during the initial stages of software development. Various machine learning and deep learning models have been developed to predict the effort estimation. In this paper, single model approaches and ensemble approaches were considered for estimation. Ensemble techniques are the combination of several single models. Ensemble techniques considered for estimation were averaging, weighted averaging, bagging, boosting, and stacking. Various stacking models considered and evaluated were stacking using a generalized linear model, stacking using decision tree, stacking using a support vector machine, and stacking using random forest. Datasets considered for estimation were Albrecht, China, Desharnais, Kemerer, Kitchenham, Maxwell, and Cocomo81. Evaluation measures used were mean absolute error, root mean squared error, and R-squared. The results proved that the proposed stacking using random forest provides the best results compared with single model approaches using the machine or deep learning algorithms and other ensemble techniques.</jats:p