Vellore District Of Tamil Nadu Research Articles

Socio - Economic aspects of Tourism Development and Its Impact on Local Residents in Vellore District of Tamil Nadu

Tourism is considered one of the largest and fastest growing sectors in the world. It’s high Growth and growth rates bring significant foreign currency revenues, Infrastructure development, job creation, regional growth, economic multiplier The effects and introduction of new management and educational experience are seriously affecting different types The sectors of the economy, they are positively impacted by social and economic development Country. However, this industry has many negative socio-economic and Cultural influences on local communities. Therefore, the study considers the main social and economic Impacts of local community tank tourism development in the Vellore area of ​​Tamil Nadu. This study mainly aims to identify the social and economic impacts on the local community and their perception of the development of the tourism industry. The study has been mixed the methodology and data are generated by structured questionnaire survey, personalized Interviews and discussions. The study identified that the community has developed positive attitudes Tourism development and community accept tourism as a major source of income through active and passive participation. The hotel has also taken several policy decisions Procedures to ensure the benefits of tourism to the local community. Usually Industry has created positive and negative impacts on the region. However, the negative Impacts are at the lowest level compared to positive impacts. It is recommended we need to have more social awareness and education programs in order to have positive benefits to minimize the negative impacts of tourism. Social empowerment and their capacity building are very important in this context.

COVID-19 and Its Socio-Economic Impact on Selected Rural Areas of Katpadi Taluk in Vellore District of Tamil Nadu

The emergence of coronavirus at the end of 2019 has crossed the country’s boundaries and spread the waves to the mobile and interdependent global population. The socio-economic impact of coronavirus in the middle and low-income countries mentioned the virus as SARS-CoV-2 has officially termed COVID-19. There is a need to identify the barriers and frame the strategies for socio-economic interventions in the COVID-19 pandemic. To manage the people infected with the COVID-19, there is a need for coordination between the health system and the general public. Also, there is a need for support from the financial system and welfare in people’s quality of life. This pandemic situation is an alarming humanitarian crisis that seeks intensive care and support from public health. It is not possible only from the health sector and government, but also social workers, psychologists, experts in logistics, epidemiologists, and social scientists. Countries are implementing the lockdown and hygiene measures to cut the chain of spreading of the virus. Rapid transmission of COVID-19 in countries and the world needs a disease surveillance system, tracking, testing laboratories, and response treatment. In these circumstances, this research paper mainly concentrates on the COVID-19 and its impact on selected rural areas of Katpadi taluk in Vellore district of Tamil Nadu. It is a socially and timely relevant one and need of the hour.

Progress Of Informal Sector Workers In Gudiyatham Taluk Of Vellore District In Tamil Nadu

The Indian economy is characterized by the existence of a vast majority of informal sector labour employment. The total employment in the country was of 46.5 crore comprising around 2.8 crore in the organised and the remaining 43.7 crore workers in the informal sector or unorganized sector. Out of these workers in the informal sector , there are 24.6 crore workers employed in agricultural sector, about 4.4 crore in informal sector workers and remaining in manufacturing and service. Informal Sector refers to economic activities such as production and distribution of goods and services by the operating units of the households which essentially differ from the formal sector in terms of technology, economies of scale, use of labour intensive processes, and virtual absence of the well maintained accounts. It embraces a widely dispersed multitude of operating units with high rates of birth and death and substantial mobility. It is informal in the sense that they are not regulated by government under any statute. Because of its contribution to the economy, which is quite visible and its strength in absorbing a huge portion of unemployed persons to whom the State is unable to provide adequate employment. It becomes the duty of the policy makers to device such policies which can take core of the problems faced by the informal sector workforce. Hence, there is need to monitor the size and structure of this sector and its performance over time for framing appropriate policies. In this paper an attempt to identify status and survival of the informal sector workers in Gudiyathamtaluk of Vellore district in Tamil Nadu.

A Research on Negative Percipience of E-Commerce by Non-Online Shoppers in Tirupattur

The technological advancement has made a revolutionary impact almost in all firms, even from the beginning of this millennium it has made big leap towards online business and online commercialization also known as Electronic Commerce. The Metropolitan cities like New Delhi, Mumbai, Chennai, Bangalore (Bengaluru) and Kolkata has been trendy and very well developed towards e-commerce and its impact is so high, as the lifestyle of man residing in those place varies and has huge difference with the people of rural and semi urban people. This Survey is about the study on negative percipience of E-Commerce by non-online shoppers with special reference to Tirupattur, a semi-urban town in Vellore District of Tamil Nadu, India.

Nutritional status, cognitive achievement, and educational attainment of children aged 8-11 in rural South India.

BackgroundMalnutrition among children is one of the most pressing health concerns middle- and low-income countries face today, particularly those in Sub-Saharan Africa and South Asia. Early-life malnutrition has been shown to affect long-term health and income. One hypothesized channel linking early-life malnutrition and long-term outcomes is cognitive development. However, there is limited empirical evidence on the relationship between nutritional status and cognitive achievement in middle childhood.Study designAs part of the South India Community Health Study (SICHS), we collected educational attainment and anthropometric data from 1,194 children in rural Vellore district of Tamil Nadu, India, and assessed their math and reading skills. We analyzed the relationship between continuous and binary anthropometric measures of nutritional status and three measures of cognitive achievement (reading, math, and grade level), adjusting for potential confounders, using a regression framework.ResultsLower height-for-age and weight-for-age and their corresponding binary measures (stunting, underweight) were associated with lower reading scores, lower math scores, and lower grade level, with the exception of the association between weight-for-age and reading, which was marginally significant. A stunted child had one-third of a grade disadvantage compared to a non-stunted counterpart, whereas an underweight child had one-fourth of a grade disadvantage compared to a non-underweight counterpart. Lower BMI-for-age was associated with grade level and marginally associated with lower math scores, and its binary measure (thinness) was marginally associated with lower math scores.ConclusionsAcute and chronic malnutrition in middle childhood were negatively associated with math scores, reading scores, and educational attainment. Our study provides new evidence that cognitive achievement during middle childhood could be an important mechanism underlying the association between early-life malnutrition and long-term wellbeing.

Household food security in rural Tamil Nadu: a survey from Kaniyambadi block, Vellore district

Background: Adequate and safe food is a basic requirement for every individual. Inadequate food leads to food insecurity. Household-level food insecurity may directly influence the health of an individual. We aimed to assess the prevalence of household-level food insecurity in the rural areas of Kaniyambadi block and to assess the household level determinants of food insecurity.Methods: A cross-sectional study was conducted in villages of Kaniyambadi block, a rural development block of Vellore district in Tamil Nadu. Households were the unit of study. The interview was conducted with a pre-tested, semi-structured questionnaire in Tamil. ‘U.S. Food Security Survey module’, September 2012, for a reference period of 30 days was used to determine food security status.Results: One hundred and fifty households were selected; 15 from each 10 randomly selected villages. Prevalence of food insecurity we got as 52.7% [95% CI: 44.6%, 60.8%]. Determinants like ‘low (<1225 INR/ month) per capita income’ [Adjusted odds ratio (AOR)- 6.7; 95% CI: 3.3,13.6]; ‘presence of debt at the time of interview’ [AOR- 3.5; 95% CI:1.7, 7.3] and ‘presence of at least one smoker in the family’ [AOR- 3.2; 95% CI:1.5, 6.8], were found to be associated significantly with food insecurity, after adjusting for the clusters by multi-level modelling.Conclusions: Food insecurity is a hidden phenomenon in India. Poverty is the key determinant behind this. To alleviate food insecurity, it will be logical to adopt multi-dimensional approaches with thrust on implementing the existing poverty alleviating programs.

Knowledge and Attitudes toward Sexual Health and Common Sexual Practices among College Students - A Survey from Vellore, Tamil Nadu, India.

Background:Indian society is considered to have conservative attitudes regarding sex and is ambivalent about the concept of sex education. Previous reports suggest that a considerable proportion of Indian youth have inadequate sexual knowledge and hold a variety of sexual misconceptions. Methodological flaws limit the generalizability of some earlier studies.Aims:This study assessed knowledge and attitude toward sexual health and common sexual practices among college students in Tamil Nadu.Methodology:A total of 952 students from seven randomly selected colleges in Vellore district of Tamil Nadu participated in the survey. The survey questionnaire contained 51 questions on knowledge and attitude toward sexual health and common sexual practices and incorporated items from standardized questionnaires and additional questions suggested by a multidisciplinary group who work in the field.Results:Two hundred seventy-five students among those who completed the survey were women. Higher knowledge scores were associated with older age, male gender, being from a rural background, pursuing non-science streams, and being in postgraduate courses. Nonconservative attitudes were associated with older age, male gender, enrollment in non-science disciplines, discomfort with the family environment, and a religious family background.Conclusions:Sexual knowledge is inadequate and sexual misconceptions were widely prevalent in the population studied. School-based comprehensive sex education programs, which have been demonstrated to be effective in improving sexual health, could be used to deal with these lacunae in sexual health knowledge and attitudes.

Frequency of HLA celiac disease risk alleles and haplotypes in healthy adults in Tamil Nadu.

Celiac disease (CeD) occurs only in individuals who are able to express human leukocyte antigens (HLA) DQ2 or DQ8, and these are expressed in nearly a third of healthy people in the West. As the disease is very uncommon in Tamil Nadu, we evaluated the possibility that the relevant genes are infrequent in this population. Four hundred healthy adults without any gastrointestinal abnormalities were recruited from Vellore district of Tamil Nadu. Genomic DNA was extracted from venous blood and amplified by PCR using the allele-specific primers for thefollowing alleles-DQA1*0201, 0301, and 0501 and DQB1*02, 0201, and 0302, which determine the CeD risk haplotypes. Among the 400 healthy adults, the presence of DQ2.5 (DQB1*0201-DQA1*0501) and DQ2.2 (DQB1*02-DQA1*0201) haplotypes was found in 8.25% and 14.25%, respectively. DQ8 (DQB1*0302-DQA1*0301) haplotype was identified in only 3% of healthy individuals. Overall, approximately a quarter of healthy adults in Tamil Nadu had the potential CeD risk haplotypes of HLA DQ2.5, DQ2.2, and DQ8.

Agriculture Crop Suitability Prediction Using Rough Set on Intuitionistic Fuzzy Approximation Space and Neural Network

Agriculture plays a vital role in Indian economy. On considering the overall geographical space verses population in India, 7% of population is chronicled in Tamilnadu, with 3% of water and 4% of land resources. Thus an automated prediction system becomes essential for predicting the crop based on the nutritional security of the country. In this paper, effort has been made to process the uncertainties by hybridizing rough set on intuitionistic fuzzy approximation space (RSIFAS) [Acharjya DP, Tripathy BK. Rough sets on intuitionistic fuzzy approximation spaces and knowledge representation. Int J Artif Int Comput Res. 2009;1 (1):29–36.] and neural network [Hecht NR. Theory of the backpropagation neural network. Proceedings of the international Joint Conference on neural networks, 1 (1989), 593–605.]. RSIFAS identifies the almost indiscernibility among the natural resources, and helps in reducing the computational procedure on employing data reduction techniques whereas neural network helps in prediction process. It helps to find the crops that may be cultivated based on the available natural resources. The proposed model is analyzed on data accumulated from Vellore district of Tamilnadu, India and achieved 93.7% of average classification accuracy. The model is compared with earlier models and found 6.9% better accuracy while prediction.

Impact of trainings on bio-inoculants production on trained SC/ST women SHG members in Vellore district of Tamil Nadu

The study was conducted in Vellore district of Tamil Nadu. Five blocks (Gudiyatham, Katpadi, KV Kuppam, Kaniyambadi and Madhanur) in the district were selected based on the population under SC/ST category. Three villages from each block and three women self-help group (SHG) members from each village were selected. Fifteen trainings on bio-inoculants production (Pseudomonas florescence and Trichoderma viride) for each group of 20 SHG members were organized under DST project thus benefiting 300 members. Knowledge test and impact study were conducted involving all the trained members. The impact of the trainings was analyzed on three dimensions viz outcome, output and impact (personal and social). The results revealed that majority of the women gained knowledge on bio-inoculants production technology. They reported that the trainings gave them self-confidence to start bio-inoculant units in their villages. Majority of the respondents expressed that the agro-based trainings were more useful for them and they required loan facilities to start a new enterprise in their village/block.

Factors Affecting Quality of Life among Married Men and Women Leather Industry Workers in Vellore district of Tamil Nadu: A Case Study

Factors Affecting Quality of Life among Married Men and Women Leather Industry Workers in Vellore district of Tamil Nadu: A Case Study

Scrub Typhus with Multi Organ Dysfuntion: A Rare Case Report

Scrub typhus is a rickettsial disease caused by O.tsutsugamushi which is maintained by trans-ovarian transmission in trobiculid mite¹. It causes a disseminated vasculitic and perivascular inflammatory lesions resulting in significant vascular leakage and end organ injury.The presentation can vary from self limiting illness to deadly systemic complications like ARDS, pneumonitis, myocarditis,AKI, Hepatic Dysfuntion and neurological manifestations².The classical clinical presentation includes an eschar,maculopapular rash and regional lymphadenopathy which are very rare. Incubation period is 6-21 days. It is important to differentiate it from other tropical fevers. We are reporting a case of scrub typhus from Vellore district of Tamilnadu with multi organ dysfunction in form of ARDS, Myocarditis,hepatic dysfunction and neurological manifestations and finally recovered after prolonged ventilator support.

Adoption Behaviour of ELS cotton growers in Vellore district of Tamil Nadu

The present study was taken up to analyse the adoption behaviour of ELS cotton growers in Vellore district of Tamil Nadu. The study was taken up in two blocks of Vellore district namely, Tirupattur and Kandhili blocks. The data were collected from 132 cotton growers using a well structured interview schedule and analysed.The study revealed that less than two- thirds of the respondents had medium level of adoption followed by high and low levels.

Scrutinizing Status of Financial Inclusion using Structural Equation Modeling

This paper attempts to examine the role of telecom and socio economic variable to achieve financial inclusion. Awareness, Usability and Ability of using services are the three constructs related with financial inclusion and telecom variables. Community, Infrastructure and Education are the three constructs of socio economic variable. Thus there are 6 independent and 3 dependent constructs. The constructs comprise 62 indicators. A sample of 200 is collected randomly through schedule from the residents of vadacherry and solur village of Vellore district of Tamilnadu. The data is analyzed using Structural Equation Modelling(SEM) software SmartPLS. The results confirm that there is a positive impact of several constructs of Telecom and Socioeconomic dimensions on Financial Inclusion. Hence, Telecom and financial institutions should work together to achieve financial inclusion and help each other to generate revenue from their mutual customers.

Grounding a natural background level for fluoride in a potentially contaminated crystalline aquifer in south India.

Fluoride contamination is one of the most alarming issues for those countries that depend on groundwater drinking water supply. A careful examination of the hydrogeochemical conditions and routine monitoring of fluoride level are therefore quintessential. Estimation of natural background level (NBL) of fluoride becomes significant information for assessing the current and future contamination episodes. Vellore District in Tamil Nadu is a hard rock terrain known for its F-rich groundwater. In this study, we attempted to form a benchmark for fluoride using hydrochemical pre-selection (based on TDS and NO3) and cumulative probability plots (CPP). Principle components analysis is (PCA) applied to evaluate the corresponding factor grouping of the total of 68 samples, which is later mapped using geostatistical tool in ArcGIS. From the CPP, we derived the NBL of F as 0.75mg/L. This value is compared with the observed concentration in each sample and they were spatially plotted based on the NBL. Resultant plot suggests that W-NW part of the study area has exceeded and E-EW regions are below the NBL of F. Spatial variation of the factor scores also supported this observation. Grounding an NBL and extending it to other parts of the potential contaminated aquifers are highly recommended for better understanding and management of the water supply systems.

An economic analysis of SRI and non-SRI paddy cultivation in Vellore district of Tamil Nadu

An economic analysis of SRI and non-SRI paddy cultivation in Vellore district of Tamil Nadu

Cluster front line demonstration in blackgram variety Vbn 6 at Vellore district of Tamil Nadu

Cluster front line demonstration in blackgram variety Vbn 6 at Vellore district of Tamil Nadu

An economic analysis of resource use efficiency of SRI and non-SRI in Vellore district of TamilNadu

An economic analysis of resource use efficiency of SRI and non-SRI in Vellore district of TamilNadu

Treatment outcomes with daily self-administered treatment and thrice-weekly directly-observed treatment in two cohorts of newly-diagnosed, sputum-positive adults with pulmonary tuberculosis

BackgroundThe Revised National Tuberculosis Control Program (RNTCP) envisages shifting from thrice-weekly to a daily anti-tuberculosis treatment (ATT) regimen. The potential merits and demerits of both regimens continue to be debated. MethodsThis retrospective study compared treatment outcomes in 191 HIV-negative, newly diagnosed, sputum-positive adults with pulmonary tuberculosis from Vellore district of Tamil Nadu who were treated at a private medical college during 2009 to 2012 with intermittent Directly Observed Treatment Short Course (intermittent DOTS cohort, n=132) or who opted for daily Self-Administered Treatment (daily SAT cohort, n=59). Treatment outcomes obtained from medical records were supplemented by interviews with consenting, traceable patients. ResultsThe rates for the RNTCP-recommended sputum smear examinations were suboptimal (42% for daily SAT and 72% for intermittent DOTS). However, treatment success with daily SAT and intermittent DOTS (76.2% vs. 70.4%); default (11.9% vs. 18.2%); death (6.8% vs. 5.3%); treatment failure (5.1% vs. 4.6%); and relapse (0% vs. 1.5%) did not significantly differ. ConclusionsWhile evaluable treatment outcomes were not significantly different with daily SAT and intermittent DOTS, rates for timely smear examinations and for treatment success were lower, and for default higher, in both cohorts than comparable RNTCP data from Vellore district. Further strengthening of RNTCP facilities within private medical colleges and regular, real-time audits of performance and outcomes are needed if daily ATT regimen under the RNTCP is to succeed.

Crop suitability prediction in Vellore District using rough set on fuzzy approximation space and neural network

In Indian economy, agriculture is the prime vocation that avails in the overall development of the country. Tamil Nadu occupies approximately 7% of the nation's population, with 3% of water resources and 4% of land resources at the country level. The crop suitability prediction is of prime importance to enhance the nutritional security to the developing country. Based on several crops grown in a particular place, and the availability of natural resources, one can identify the suitability of crops that can be grown in a particular place. To this end, many mathematical tools were developed, but they failed to include processing of uncertainties present in the accumulated data. Therefore, in this paper an effort has been made to process the uncertainties by hybridizing rough set on fuzzy approximation space and neural network. The rough set on fuzzy approximation space identifies the almost indiscernibility among the natural resources and helps in minimizing the computational procedure on employing data reduction techniques, whereas neural network helps in prediction process. The proposed model is analysed on agriculture data of Vellore District of Tamil Nadu, India, and achieved 93% of classification accuracy in validation. The model is compared with an earlier model and achieved 8% more accuracy while predicting unseen associations.