Status of disinfection byproducts research in India.

India faces high incidents of waterborne disease outbreaks owing to their limited access to safe drinking water. In many ways, the effort to improve the quality of drinking water is performed, and it has been keenly monitored. Among those, the disinfection of drinking water is considered a necessary and important step as it controls the microbial population. Chlorination is the most practiced (greater than 80%) disinfection process in India, and it is known to generate various disinfection byproducts (DBPs). Although the toxicity and trend of DBPs are regularly monitored and investigated in most countries, still in India, the research is at the toddler level. This review summarizes i) the status of drinking water disinfection in India, ii) types of disinfection processes in centralized water treatment plants, iii) concentrations and occurrence patterns of DBPs in a different region of India, iv) a literature survey on the toxicity of DBPs, and v) removal methodologies or alternative technologies to mitigate the DBPs formation. Overall, this review may act as a roadmap to understand the trend of disinfection practices in India and their impacts on securing the goal of safe drinking water for all.

National noncommunicable disease monitoring survey (NNMS) in India: Estimating risk factor prevalence in adult population.

BACKGROUND: The primary objective of National NCD monitoring survey (NNMS) was to generate national-level estimates of key NCD indicators identified in the national NCD monitoring framework. This paper describes survey study protocol and prevalence of risk factors among adults (18-69 years). MATERIALS AND METHODS: NNMS was a national level cross-sectional survey conducted during 2017-18. The estimated sample size was 12,000 households from 600 primary sampling units. One adult (18-69 years) per household was selected using the World Health Organization-KISH grid. The study tools were adapted from WHO-STEPwise approach to NCD risk factor surveillance, IDSP-NCD risk factor survey and WHO-Global adult tobacco survey. Total of 8/10 indicators of adult NCD risk factors according to national NCD disease monitoring framework was studied. This survey for the first time estimated dietary intake of salt intake of population at a national level from spot urine samples. RESULTS: Total of 11139 households and 10659 adults completed the survey. Prevalence of tobacco and alcohol use was 32.8% (95% CI: 30.8-35.0) and 15.9% (95% CI: 14.2-17.7) respectively. More than one-third adults were physically inactive [41.3% (95% CI: 39.4-43.3)], majority [98.4% (95% CI: 97.8-98.8)] consumed less than 5 servings of fruits and / or vegetables per day and mean salt intake was 8 g/day (95% CI: 7.8-8.2). Proportion with raised blood pressure and raised blood glucose were 28.5% (95% CI: 27.0-30.1) and 9.3% (95% CI: 8.3-10.5) respectively. 12.8% (95% CI: 11.2-14.5) of adults (40-69 years) had ten-year CVD risk of ≥30% or with existing CVD. CONCLUSION: NNMS was the first comprehensive national survey providing relevant data to assess India's progress towards targets in National NCD monitoring framework and NCD Action Plan. Established methodology and findings from survey would contribute to plan future state-based surveys and also frame policies for prevention and control of NCDs.

Energy Efficient Cluster Based Scheduling Scheme for Wireless Sensor Networks.

The energy utilization of sensor nodes in large scale wireless sensor network points out the crucial need for scalable and energy efficient clustering protocols. Since sensor nodes usually operate on batteries, the maximum utility of network is greatly dependent on ideal usage of energy leftover in these sensor nodes. In this paper, we propose an Energy Efficient Cluster Based Scheduling Scheme for wireless sensor networks that balances the sensor network lifetime and energy efficiency. In the first phase of our proposed scheme, cluster topology is discovered and cluster head is chosen based on remaining energy level. The cluster head monitors the network energy threshold value to identify the energy drain rate of all its cluster members. In the second phase, scheduling algorithm is presented to allocate time slots to cluster member data packets. Here congestion occurrence is totally avoided. In the third phase, energy consumption model is proposed to maintain maximum residual energy level across the network. Moreover, we also propose a new packet format which is given to all cluster member nodes. The simulation results prove that the proposed scheme greatly contributes to maximum network lifetime, high energy, reduced overhead, and maximum delivery ratio.

Fuzzy-rough-neural-based f-information for gene selection and sample classification.

The greatest restriction in estimating the information measure for microarray data is the continuous nature of gene expression values. The traditional criterion function of f-information discretises the continuous gene expression value for calculating the probability function during gene selection. This leads to loss of biological meaning of microarray data and results in poor classification accuracy. To overcome this difficulty, the concepts of fuzzy and rough set are combined to redefine the criterion functions of f-information and are used to form candidate genes from which informative genes are selected using neural network. The performance of the proposed Fuzzy-Rough-Neural-based f-Information (FRNf-I) is evaluated using ten gene expression datasets. Simulation results show that the proposed approach compute f-information measure easily without discretisation. Statistical analysis of the test result shows that the proposed FRNf-I selects comparatively less number of genes and more classification accuracy than the other approaches reported in the literature.

Community medicine teaching and evaluation: scope of betterment.

There have been rapid and extensive changes in the way assessment is conducted in medical education. Assessment brings about standardization of the manner in which the syllabus is to be implemented and also gives guidelines regarding the teaching pattern, especially when the student is going to rotate through various departments in a medical college. Community Medicine is an important branch of medicine concerned with the health of populations. Existing forms of assessment of community medicine education mainly consists of internal [formative] assessment and final (summative) examination. Advantages of the present system is the similarity of the methods used for internal assessments and final examinations and is relatively easily done since only the knowledge application and recall ability of the student in theory and practical are assessed. Disadvantages in the current evaluation system are neglecting the assessment of psychomotor, affective and communication skills. Evaluation systems can be improved by implementing techniques to assess psychomotor skills, presentation and communication skills, organizational skills and the student's ability to work in a team. Regular feedback from students should be taken periodically for the betterment of Community Medicine education. This article is meant to sensitise the academic experts in medical education to plan better need based methods of assessment in the subject of Community Medicine, in relation to the new MCI 2012 Regulations, in order to make it a better learning experience for the students.