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94 results on '"Ananthi, M."'

10. Dynamic Processing and Analysis of Continuous Streaming Stock Market Data Using MBCQ Tree Approach

Author

Ananthi, M., Sumalatha, M. R., Barbosa, Simone Diniz Junqueira, Series Editor, Chen, Phoebe, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Bhattacharyya, Pushpak, editor, Sastry, Hanumat G., editor, Marriboyina, Venkatadri, editor, and Sharma, Rashmi, editor

Published
2018
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11. STUDY ON COMPARISON OF PULMONARY FUNCTION TESTS AMONG DIABETIC AND NON-DIABETIC PATIENTS UNDERGOING MAJOR ABDOMINAL SURGERIES UNDER GENERAL ANAESTHESIA.

Author

Karthikeyan, M., Sivabalan R. G., Ananthi M., and Sudha, G.

Subjects
PULMONARY function tests, ABDOMINAL surgery, SURGERY, ELECTIVE surgery, PEOPLE with diabetes, EXPIRATORY flow
Abstract

Background: Diabetes mellitus is a chronic disease with microvascular and macrovascular complications. The pulmonary complications of diabetes mellitus have been poorly characterized. Pulmonary function tests (PFTs) are noninvasive tests that show how well the lungs are working. Objectives: The aim of this study is to compare pulmonary PFTs in type 2 diabetic and non diabetic patients undergoing elective major abdominal surgeries under general anesthesia. Materials & Methods: A total of 100 patients (50 diabetic & 50 non diabetic), undergoing elective major abdominal surgeries under general anesthesia were enrolled for the study. Pulmonary function tests were performed 60 minutes before and after the end of surgery. The PFTs recorded were FEV1, FVC, FEV1/FVC, FEF 25%, and Peak expiratory flow rate (PEFR). Results: Majority of the subjects (34% diabetic and 42% non diabetic) was 51-55 years age group, the mean age among diabetics was 52.9 ± 4.8 and non diabetic group were 51.3 ± 4.8 years. The male were slightly higher than female in both the groups. The mean age, gender and BMI of both the groups was not statistically different and both the groups were comparable at baseline. The pulmonary function test (FEV1, FVC, FEF 25%, and PEFR) were significantly reduced in diabetic subjects compared with non diabetic subject, except FEV1/FVC. Conclusion: The mean scores of FVC, FEV1, PEFR, and FEF 25% were significantly reduced among type 2 diabetic patients as compared to non-diabetic subjects, except FEV1/FVC ratio [ABSTRACT FROM AUTHOR]

Published
2024

20. THE AMALGAMATION OF HUMAN AND NATURAL WORLD: A STUDY OF DELIA OWENS’ NOVEL WHERE THE CRAWDADS SING

Author

Ananthi. M and S. Vanitha

Subjects
Strategy and Management, Mechanical Engineering, Metals and Alloys, Industrial and Manufacturing Engineering
Abstract

In the times of digital world, people tie their relationships with technologies and untie their relationships with natural world. It leads humans to despair and lose their peace of mind. So, people are slowly starting to search for their peace and find solace in natural world which consists of both the living and nonliving things as they are understood to be trustworthy than people and it heals the human psyche and body in an optimistic facet. This scenario is well depicted in the novel Where the Crawdads Sing. This paper focuses on the protagonist’s endeavor in overcoming humiliation, disappointment, challenges, obstacles with the synthesis of ecology and finds comfort in the mother Nature. And also, it explores how the study of ecopsychology aids to create an affinity between human and nature which results in healthy life.

Published
2023

29. A case of alkaptonuria with degenerative collagenous plaques and foot drop

Author

Chandrakala, C., Tharini, Gurusami, Ananthi, M., and Subha, R.

Subjects
Health
Abstract

Byline: C. Chandrakala, Gurusami. Tharini, M. Ananthi, R. Subha Sir, Alkaptonuria is an autosomal recessive disorder caused by deficiency of the enzyme homogentisic acid oxidase. [sup][1] We report a case [...]

Published
2016

33. Stock market analysis using candlestick regression and market trend prediction (CKRM).

Author

Ananthi, M. and Vijayakumar, K.

Abstract

Stock market data is a time-series data in which stock value varies depends on time. Prediction of the stock market is an endeavor to assess the future value of a company's stock rate which will increase the investor's profit. The accurate prediction of stock market analysis is still a challenging task. The proposed system predicts stock price of any company mentioned by the user for the next few days. Using the predicted stock price and datasets collected from various sources regarding a certain equity, the overall sentiment of the stock is predicted. The prediction of stock price is done by regression and candlestick pattern detection. The proposed system generates signals on the candlestick graph which allows to predict market movement to a sufficient level of accuracy so that the user is able to judge whether a stock is a 'Buy/Sell' and whether to short the stock or go long by delivery. The prediction accuracy of the stock exchange has analyzed and improved to 85% using machine learning algorithms. [ABSTRACT FROM AUTHOR]

Published
2021
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37. Dynamic continuous query processing over streaming Data

Author

Ananthi M, Sumalatha M R, and Sreedhevi D K

Subjects
Web search query, Data stream clustering, View, Computer science, Data stream mining, Search engine indexing, Sargable, Data mining, Query optimization, computer.software_genre, Cluster analysis, computer
Abstract

Data streams refers to uninterrupted flow of long sequence of data, e.g. stock quotes, e-commerce data, system logs, sensor networks, network traffic management, etc. A wide range of query scenarios emerge naturally in these applications. Stream databases raise new challenges for query processing due to both the streaming nature of data which constantly changes over time and the wider range of queries proposed by the user when compared with the traditional database. In traditional databases Index structures have been effectively employed to store the data and to improve the query performance. To adapt different query scenarios and handle them efficiently, index structure is one of the major challenges in stream data flow. A new index structure called CBSD (Clustering Based Stream Data) -tree is proposed. CBSD-tree is the combination of block-based and tree-based technique. It addresses three main challenges in data indexing: insert, search, and deletion. Here the incoming data are clustered based on some criteria and it is stored in a block. Each block is indexed using B+-tree. CBSD-tree index structure significantly reduces the space cost and scales well with the increasing data size.

Published
2016

43. Analysis of Carbohydrates in Newly Developed Liquid State Rabies Vaccine

Author

Vijayakumar R, raCharles, Jagannathan S, Premkumar A, hi P, K. N. Venkataramana, RahulG, and Ananthi M

Subjects
Biology, medicine.disease, Applied Microbiology and Biotechnology, Biochemistry, Microbiology, Rabies vaccine, Liquid state, medicine, Vero cell, Rabies, Biotechnology, medicine.drug, Duck embryo vaccine
Abstract

Rabies is an under- reported, neglected deadly disease estimated to cause more than 50,000 human deaths annually, most of which occur in the poorest regions of the world. One of the most elements in the effective control of human rabies is the use of ef fi cacious vaccines. The stabilizers play an important role in the ef fi cacy of the vaccines. Our present study emphasizes on the analysis of stabilizers, trehalose and lactose by various biochemical methods in the newly developed VERO cell line based Tissue culture anti liquid rabies vaccine.

Published
2010

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