Namita Bhagat

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BACKGROUND To determine prevalence of multiple coronary risk factors in a North Indian Punjabi community and to compare these with previous population based studies in the same city in North India we performed an epidemiological study. METHODS A community-based epidemiological study that focused on lifestyle determinants of obesity and its correlates in(More)
India is facing an "epidemic" of diet-related non-communicable diseases (DR-NCDs), along with widely prevalent undernutrition resulting in substantial socioeconomic burden. The aim of this paper is to review secular trends in food groups and nutrient intake, and implications for DR-NCDs in India so as to understand optimal choices for healthy diets for the(More)
BACKGROUND A population-based case control study was performed to determine the associations of Pro12Ala polymorphism in peroxisome proliferator-activated receptor-γ (PPARG) and Gly308Ala polymorphism in tumor necrosis factor-α (TNFA) genes in obese subjects. PATIENTS AND METHODS Of 1,400 eligible subjects, ≧20 years, we recruited only 1,127. For extreme(More)
OBJECTIVE The impact of rising population-wide obesity on cardiovascular risk factors has not been well studied in low-income countries. To correlate the prevalence of obesity with risk factors we performed epidemiological studies in India. METHODS Multiple cross-sectional epidemiological studies, Jaipur Heart Watch (JHW), were performed in India in rural(More)
In the present study a congestion avoidance algorithm is proposed for multi-users, transmitting simultaneously on a single link. The present algorithm is based on the additive increase and multiplicative decrease feedback law. Equilibrium is reached at which all users shared equally at steady state and utilizes the whole link capacity. The resource(More)
Model predictive control based direct neural controllers represent another class of computer application in the field of non-linear controls. These controllers can also be made adaptive such that the adaptation mechanism attempts to adjust a parameterized nonlinear controller to approximate an ideal controller. Various approximators such as linear mappings,(More)
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