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Search Results: 1 - 10 of 332236 matches for " Venugopal K.R. "
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Classification and treatment of different stages of alzheimer’s disease using various machine learning methods
Sandhya Joshi,Vibhudendra Simha G.G.,Deepa Shenoy P.,Venugopal K.R.
International Journal of Bioinformatics Research , 2010,
Abstract: There has been a steady rise in the number of patients suffering from Alzheimer’s disease (AD)all over the world. Medical diagnosis is an important but complicated task that should be performedaccurately and efficiently and its automation would be very useful. The patient’s records are collected fromNational Institute on Aging, USA. The Sample consisted of initial visits of 496 subjects seen either as controlor as patients. Patients were concerned about their memory at the National Institute on Aging. It alsoconsisted of patients and caregiver interviews. This research work presents different models for theclassification of different stages of Alzheimer’s disease using various machine learning methods such asNeural Networks, Multilayer Perceptron, Bagging, Decision tree, CANFIS and Genetic algorithms. Theclassification accuracy for CANFIS was found to be 99.55% which was found to be better when compared toother classification methods. Based on the outcome of classification accuracies, various management andtreatment strategies such as pharmacotherapeutic and non pharmacotherapeutic interventions for mild,moderate and severe AD were elucidated, which can be of enormous use for the medical professionals indiagnosis and treatment of AD.
Natural cross-pollination in roselle, Hibiscus sabdariffa L. (Malvaceae)
Vaidya, K.R.;
Genetics and Molecular Biology , 2000, DOI: 10.1590/S1415-47572000000300027
Abstract: two local varieties of roselle (hibiscus sabdariffa l.), jamaican green and jamaican red, were grown to determine the amount of natural cross-pollination. two planting arrangements (alternating rows; alternating individuals in a row) and two planting dates, a month apart, were used for the outcrossing experiments. stem pigmentation, red (r-) vs. green (rr), was used as a genetic marker in the estimation of outcrossing. homozygous dominant and recessive genotypes of jamaican red and jamaican green, respectively, were grown in both of the planting arrangements and dates. seeds from open-pollinated capsules of randomly selected jamaican green plants were planted to score the frequency of cross-pollination. estimates of natural cross-pollination ranged from 0.20 ± 0.09% to 0.68 ± 0.34%. roselle outcrosses at a low rate in jamaica.
Natural cross-pollination in roselle, Hibiscus sabdariffa L. (Malvaceae)
Vaidya K.R.
Genetics and Molecular Biology , 2000,
Abstract: Two local varieties of roselle (Hibiscus sabdariffa L.), Jamaican Green and Jamaican Red, were grown to determine the amount of natural cross-pollination. Two planting arrangements (alternating rows; alternating individuals in a row) and two planting dates, a month apart, were used for the outcrossing experiments. Stem pigmentation, red (R-) vs. green (rr), was used as a genetic marker in the estimation of outcrossing. Homozygous dominant and recessive genotypes of Jamaican Red and Jamaican Green, respectively, were grown in both of the planting arrangements and dates. Seeds from open-pollinated capsules of randomly selected Jamaican Green plants were planted to score the frequency of cross-pollination. Estimates of natural cross-pollination ranged from 0.20 ± 0.09% to 0.68 ± 0.34%. Roselle outcrosses at a low rate in Jamaica.
PLAGIARISM- HISTORY, DETECTION AND PREVENTION
Vinod K.R.
Hygeia : Journal for Drugs and Medicines , 2011,
Abstract: Little significance is given about “plagiarism” at the institutional level and hence, students and fresh staff sometime oversee this aspect. Ironically, many of the research scholars commit plagiarism without their knowledge. This manuscript gives an in depth perspective about plagiarism, how we can avoid and publish ones article safely. Although Sir William Shakespeare first used the word plagiarism verbatim, oxford dictionary gives credit to Ben Jonson who used the word in print. Although much electronic soft wares are available to detect plagiarized material, it can detect only word to word similarities
Gaps in Goals: The History of Goal-setting in Health Care in India
K.R. Nayar
Oman Medical Journal , 2011,
Abstract:
THE TRAINING OF RHODESIAN OFFICERS AT THE ROYAL MILITARY ACADEMY, SANDHURST
K.R. Coster
Scientia Militaria : South African Journal of Military Studies , 2012, DOI: 10.5787/9-3-739
Abstract: The editorial in Militaria 9/1 of 1979 notes that Professor Dale's research with regard to the South African Armed Forces and their link with the United Kingdom and the Commonwealth of Nations, 1910-1961, has revealed that few South Africans ever studied at Sandhurst. On the other hand he observes that Rhodesia has far more Sandhurst-qual ified officers.
CGRP RECEPTOR FAMILY AND ACCESSORY PROTEIN LOCALIZATION: IMPLICATIONS FOR PREDICTED FUNCTION
K.R. Oliver
The Scientific World Journal , 2001, DOI: 10.1100/tsw.2001.431
Abstract:
ANTIOXIDANT POTENTIAL OF DRIED ROOT POWDER OF CAPPARIS GRANDIFLORA WALL EX HOOK.F & THOMSON
Sini K.R
International Journal of Pharmaceutical Research and Development , 2010,
Abstract: The present study was aimed to investigate the antioxidant activity of extracts of dried root powder of Capparis grandiflora Wall ex.Hook.f & Thomson. (Capparidaceae). In evaluation, methanol extract of the root powder was prepared and screened for in-vitro antioxidant activities by 1, 1-diphenyl-2- picrylhydrazyl (DPPH) free radical scavenging activity and by reducing power assay method. The results of both the methods were compared with a natural antioxidant ascorbic acid (vitamin C) as a standard. . In DPPH free radical scavenging assay, IC50 values of methanol root extract and Ascorbic acid was found to be 50.1μg and 22.0 μg/ml respectively. The results concluded that the extract has potential source of antioxidants of natural origin.
No quick fix for social science in public health
Nayar K.R.
Bulletin of the World Health Organization , 2002,
Abstract:
Microarray Data Classification Using Support Vector Machine
Seeja K.R., Shweta
International Journal of Biometric and Bioinformatics , 2011,
Abstract: DNA microarrays allow biologist to measure the expression of thousands of genessimultaneously on a small chip. These microarrays generate huge amount of data and newmethods are needed to analyse them. In this paper, a new classification method based onsupport vector machine is proposed. The proposed method is used to classify geneexpression data recorded on DNA microarrays. The proposed method is tested by usingbenchmark datasets and it is found that the proposed method is faster than neural networkand the classification performance is not less than neural network.
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