In India Hypertension is currently becoming a major health concern in the coming years. According to the World Health Statistics 2012 report, India has low rates of hypertension compared to world figures. In India, 23.10 per cent men and 22.60 per cent women above 25 years suffer from hypertension. India also fares better than the global average of 29.20 in men and 24.80 in women respectively. Hypertension is defined as a repeatedly elevated blood pressure exceeding 140 over 90 mmHg -a systolic pressure above 140 with a diastolic pressure above 90. India is exploring the possibility of having a national monitoring framework to help check hypertension cases, according to a WHO official. The aim of this study is to assess the prevalence of hypertension in rural areas of Kurnool and Kadapa district of Rayalaseema region, Andhra Pradesh. A community-based cross-sectional survey was conducted in the villages of rural areas of district Kurnool and Cudappah were selected from Rural Health Centers (RHCs) of these villages. In our study of 1637 subjects, 229 were hypertensive giving the prevelance lthough prevalence of hypertension in general public is very high, major bulk is still undiagnosed. A screening and preventive program needs to be established on national and international level.

The objective of this study is to estimate the serum magnesium levels in seizure disorders and its possible association with the occurrence of seizures. Blood sample for serum magnesium and other electrolytes (blood glucose, potassium, sodium, calcium, chloride) were taken during the period from the onset of seizures up to 72 hours. DESIGN: The present study is a prospective study carried out at King George Hospital, Visakhapatnam. MATERIALS & METHODS: The present study was carried out on 50 subjects diagnosed as seizures (Generalized Tonic Clonic Seizures) in the age group of 20 to 60 years. The study also included 50 healthy subjects who are matched with cases. STATISTICLE ANALYSIS: The analysis was done using MS Office, Excel Sheet 2007 Software. RESULTS: Serum magnesium levels decreased significantly in patients with seizure disorders when compared to controls. (Mean values for Serum, Magnesium in cases vs. controls 0.964 vs. 2.038 mg/DL. The mean value for serum magnesium is lower when time elapsed after last seizure is shorter. CONCLUSION: Magnesium levels decreased in patients with seizure disorders and the mean values were lower when time elapsed since onset of seizure is shorter indicating the role of magnesium in the pathophysiology of seizures.

A study of effect of various risk factors on Type-II diabetes in Urban and rural population. Generally Indians seems to have great tendency to develop diabetes mellitus. In addition to this, unhealthy food habits, lack of physical activity, diabetic family history, age, obesity, smoking & alcoholism are the other causes for diabetes mellitus. AIM: To analyze the impact of different risk factors on Type-II diabetes in urban and rural population. METHODS: Total 160 subjects of urban and rural population were included in this study and their detailed histories were taken by the questionnaire. In this study we compared the blood glucose levels, unhealthy food habits, lack of physical activity, age, obesity, smoking & alcoholism in urban and rural population. RESULT: The study showed that the blood glucose levels, unhealthy food habits, lack of physical activity, diabetic family history, age, obesity, smoking & alcoholism were found higher in urban than in rural population. CONCLUSION: The results showed that the fond of Type-II diabetes is very less in rural population when compared to urban population. This is because of, the rural population had more physical activity, intake of moderate calorie food, less diabetic family history and less obese. So, these factors help to overcome the increased effect of age, smoking and alcoholism on Type-II diabetes in rural population.

The Internet of Things (IoT) is a network of devices used for interconnection and data transfer. There is a dramatic increase in IoT attacks due to the lack of security mechanisms. The security mechanisms can be enhanced through the analysis and classification of these attacks. The multi-class classification of IoT botnet attacks (IBA) applied here uses a high-dimensional data set. The high-dimensional data set is a challenge in the classification process due to the requirements of a high number of computational resources. Dimensionality reduction (DR) discards irrelevant information while retaining the imperative bits from this high-dimensional data set. The DR technique proposed here is a classifier-based feature selection using an extra tree classifier (EXT). The entropy values of features are used for the construction of trees in EXT, which is to build a lower-dimensional space. Linear discriminant analysis (LDA), K-nearest neighbor classifier (KNN), decision tree classifier (DTC), and random forest classifier (RFC) empirically evaluate the proposed feature selection mechanism. EXT is compared with other DR techniques like RFC and principal component analysis (PCA). The performance metrics of the classifiers are used to evaluate the proposed work.