890 research outputs found
Supplementary_Tables – Supplemental material for <i>E2F1</i> genetic variants and risk of cervical cancer in Indian women
No full textSupplemental material, Supplementary_Tables for E2F1 genetic variants and risk of cervical cancer in Indian women by Sanjay Singh, Manish Gupta, Rajeev Kumar Seam and Harish Changotra in The International Journal of Biological Markers</p
Comparison of the clinical applicability of Miller's classification system to Kumar and Masamatti's classification system of gingival recession
No full textBackground: The aims of the present study were to (i) Find the percentage of recession cases that could be classified by application of Miller's and/or Kumar and Masamatti's classification of gingival recession, and (ii) compare the percentage of clinical applicability of Miller's criteria and Kumar and Masamatti's criteria to the total recessions present. Materials and Methods: A total of 104 patients (1089 recession cases) were included in the study wherein they were classified using both Miller's and Kumar and Masamatti's classification systems of gingival recession. Percentage comparison of the application of both classification systems was done. Results: Data analysis showed that though all the cases of the recession were classified by Kumar and Masamatti's classification, only 34.61% cases were classified by Miller's classification. 19.10% cases were completely (having only labial/buccal recession) classified. In 15.51% (out of 34.61%) cases, only buccal recession was classified according to Miller's criteria and included in this category, although these cases had both buccal and lingual/palatal recessions. Furthermore, 29.75% cases of recession with interdental loss and marginal tissue loss coronal to mucogingival junction (MGJ) remained uncategorized by Miller's classification; categorization of palatal/lingual recession was possible with Kumar and Masamatti's classification. Conclusion: The elaborative evaluation of both buccal and palatal/lingual recession by the Kumar and Masamatti's classification system can be used to overcome the limitations of Miller's classification system, especially the cases with interdental loss and having marginal tissue loss coronal to MGJ
Recent advance technique for ocular drug delivery by Gupta et al.: Nanoparticle laden in situ gel
No full textMining Low-Support Discriminative Patterns from Dense and High-Dimensional Data
No full textDiscriminative patterns can provide valuable insights into datasets with class labels, that may not be available from the individual features or predictive models built using them. Most existing approaches work efficiently for sparse or low-dimensional datasets. However, for dense and high-dimensional datasets, they have to use high thresholds to produce the complete results within limited time, and thus, may miss interesting low-support patterns. In this paper, we address the necessity of trading off the completeness of discriminative pattern discovery with the efficient discovery of low-support discriminative patterns from such datasets. We propose a family of anti-monotonic measures named SupMaxK that organize the set of discriminative patterns into nested layers of subsets, which are progressively more complete in their coverage, but require increasingly more computation. In particular, the member of SupMaxK with K = 2, named SupMaxPair, is suitable for dense and high-dimensional datasets. Several experiments on a cancer gene expression dataset demonstrate that there are low-support patterns that can be discovered using SupMaxPair, but not by existing approaches, and that these patterns are statistically significant and biologically relevant. This illustrates the complementarity of SupMaxPair to existing approaches for discriminative pattern discovery. The codes and dataset for this paper are available at http://vk.cs.umn.edu/SMP/.Fang, Gang; Pandey, Gaurav; Wang, Wen; Gupta, Manish; Steinbach, Michael; Kumar, Vipin. (2009). Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215798
Immuno-Reactive Molecules Identified from the Secreted Proteome of <i>Aspergillus fumigatus</i>
No full textThe secreted proteomes of a three week old culture of an Indian (190/96) and a German (DAYA) Aspergillus fumigatus isolate were investigated for reactivity with IgG and/or IgE antibodies derived from pooled allergic broncho-pulmonary aspergillosis (ABPA) patients' sera. Two dimensional Western blotting followed by mass spectrometric analysis of the reactive protein spots revealed 35 proteins from the two A. fumigatus strains. There were seven known A. fumigatus allergens among them (Asp f1-4, Asp 19, Asp f10, and Asp f13/15), whereas three proteins displaying significant sequence similarity to known fungal allergens have been assigned as predicted allergens (Dipeptidyl-peptidase-V precursor, Nuclear transport factor 2, and Malate dehydrogenase, NAD-dependent). Eight IgG and IgE reactive proteins were common in both strains; however, 12 proteins specifically reacted in 190/96 and 15 in DAYA. Further testing with sera of 5 individual ABPA patients demonstrated that 12 out of 20 immunoreactive proteins of 190/96 strain of A. fumigatus had consistent reactivity with IgE. Seven of these proteins reacted with IgG also. The 25 of 35 identified proteins are novel with respect to immunoreactivity with ABPA patients' sera and could form a panel of molecules to improve the currently existing less-sensitive diagnostic methods. Through expressing recombinantly, these proteins may also serve as a tool in desensibilization strategies
Costs of Reducing Greenhouse Gas Emissions: A Case Study of India’s Power Generation Sector
Get PDFIf India were to participate in any international effort towards mitigating CO2 emissions, the power sector which is one of the largest emitters of CO2 in the country would be required to play a major role. In this context the study estimates the marginal abatement costs, which correspond to the costs incurred by the power plants to reduce one unit of CO2 from the current level. The study uses an output distance function approach and its duality with the revenue function to derive these costs for a sample of thermal plants in India. Two sets of exercises have been undertaken. The average shadow prices of CO2 for the sample of thermal plants for the period 1991-92 to 1999-2000 was estimated to be respectively Rs.3380.59 and Rs.2401.99 per ton for the two models. These shadow prices can be used for designing environmental policies and market-based instruments for controlling pollution in the power sector in India.Marginal Abatement Costs, Distance Function, CO2 Emissions, Shadow Prices, Power Generation Sector
Geotechnical and structural modulation for strength and adsorption enhancement of urban sewage sludge
No full textFINSLER SPACE SUBJECTED TO A KROPINA CHANGE WITH AN h-VECTOR
Get PDFIn this paper, we discuss the Finsler spaces and , where is obtained from by Kropina change and is an \textsl{h}-vector in . We find the necessary and sufficient condition when the Cartan connection coefficients for both spaces and are the same. We also find the necessary and sufficient condition for Kropina change with an \textsl{h}-vector to be projective
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