M. Saravanan ¹, Anima Nanda ²

Affiliations
1 Dept. of Biotechnology, Faculty of Science & Humanities, SRM University, Kattankulatthur, Chennai - 603 203, IN
2 Dept. of Biomed. Engg., Sathyabama University, Jeppiaar Nagar, Old Mamallapuram Road, Chennai– 600 119, IN

Abstract

The objective of the present study is to determine the incidence, clinical features, bacteriological pattern and antibiotic sensitivity profile of septicemia suspected children in Tamil nadu, India. This study was undertaken in SBS Hospital Pvt. Ltd., Hosur and SRM Medical College and Hospital, Chennai. All children (Age 1-5 yr) admitted with clinical features and risk factors, suspected with septicemia were selected and the blood samples were collected. The study identified 54 septicemia or bacteremia children out of 298 suspected children screened (18.12 %). The isolated organisms from the blood sample were characterized by primary, biochemical and selective media identification methods. From the identified isolates, Staphylococcus aureus was found to be prominent organism (48.14 %). Then the screening of MRSA was carried out using standard method (38.46%). The antibiotic sensitivity pattern of S. aureus differs widely between methicillin resistant and sensitive isolates. The present study reveals that in case of MRSA isolates resistant to nearly all antibiotics, they were sensitive to oxacillin and vancomycin.

Keywords

Septicemia, MRSA, Antibiotic Resistance, Clinical Study, Epidemiology, Child Health, India

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M. Saravanan ¹, V. L. Jyothi ²

Affiliations
1 Department of Computer Science and Engineering, Sathyabama University, Chennai - 600119, IN
2 Department of Computer Science and Engineering, Jeppiaar Engineering College, Chennai – 600119, Tamil Nadu, IN

Abstract

Normal social media sites like flickr, amazon are continuing expanding giving the components that transferring the pictures, imparting the pictures to different sorts of annotations like gatherings and labels. This sites information bases comprises mass measure of pictures which has been transferred by different clients with different annotations. Consequently recovery of the pictures from that rich data heterogeneous systems relying on the client asked for inquiry and positioning the pictures as per the question likewise somewhat difficult assignment. In this paper, we are presenting another idea called heterogeneous picture rich data systems and answer for the current issues in the sites which are expressed previously. To accomplish the answer for existing issue we are proposing two calculations to be specific hmok-simrank calculation for likeness checking and positioning of the pictures so as to store it in the database, and iwsl calculation for incorporation which will be clarified in the paper about its utilization and its execution contrasted with existing calculations. We contrasted our outcome and the datasets of google and flickr, it demonstrates a huge execution than existing framework, this locales turn out to be as rich data systems with heterogeneous pictures. Presently the issue comes into picture while.

Keywords

Images, IWSL, Implement, Module, Rich Data, Similarity.

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