1,411 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 textBibliographics for the 983 eprints in the live archives of E-LIS : trends and status report up to 7th July 2004, based on author-self-archiving metadata
No full textThe priority for ideas and philosophy related to "Network Theory" have been traced back and documented by Braun(2004),and credit goes to Karinthy(1929).The IT has empowered to realise it, as the most practical phenomena and it is no more a humour. The OAI (Open Archives Initiatives)and ACIS (Academic Contributor Information System)are progressive in the direction ,which may lead to realise the "Collective Genius" at global level. Focus of present study is on Author-Self-Archiving (A-S-A)Metadata of the 983 Eprints in the Live Archives of the E-LIS (EPrints of Library and Information Science),which were approved till 7th July 2004.The A-S-A Metadata was used for librametric analysis. Self-explanatory bibliographics are illustrated.The highlights include: Conference papers (34%); highest approval, June 2004 (28%); published archives (76%);not refereed (52%); not in public domain (60%); highest self-archiving-author (De Robbio, Antonella).The Nos. of EPrints having single JITA domain specifications were: Theoretical and general aspects of libraries and information(27); Information use and sociology of information(80);Users,literacy and reading(13);Libraries as physical collections(30);Publishing and legal issues(57);Management(13);Industry, profession and education(36);Information sources, supports, channels(113) ; Information treatment for information services, Information functions and techniques (101); Technical services libraries, archives and museums(25); Housing technologies(1); Information technology and library technology(92); and Inter-domainery (395) i.e. having specifications of two or more than two JITA classes
Visualization of plasma edges using VTK and Adobe Flash
No full textVisualization is a very useful tool in the study and analysis of huge experimental or simulation datasets. It converts vast amount of numerical data into graphical images, extracts important hidden information and aids scientists in hypothesis building. This thesis focuses on migrating visualization module of Plasma Edge from commercial visualization software AVS to open source visualization library VTK. The VTK visualization module will be integrated in new plasma edge simulation code package at the Center for Plasma Edge Simulation for the study of plasma edge region relevant to both existing magnetic fusion facilities and next generation burning plasma experiments. VTK visualization module generates two set of images: 2D images representing cross-sectional view of 3D torroidal plane, and 3D images representing whole torroidal plane.
Two Adobe Flash modules were also developed using open source Adobe Flex to integrate the VTK visualization module with eSimMon dashboard, a front-end tool for simulation monitoring. Using these modules, virtual 3D visualization capability was provided in the dashboard for viewing generated plasma images.M.S.Includes bibliographical referencesby Lavesh Kumar Gupt
Mining 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
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No full textNot AvailableSearch; Personalize: Your alerts; Your baskets; Your searches. Your alerts; Your baskets; Your searches. login. login. Home > Management of early blight disease of tomato cv 'Kashi Amrit' through fungicides, bioagents and cultural practices in India. World Vegetable Center. Information; Usage statistics; Files; Holdings. Record Details. Title: Management of early blight disease of tomato cv 'Kashi Amrit' through fungicides, bioagents and cultural practices in India. Author(s): Kumar, V. Gupta, RC Singh, PC Pandey, KK Kumar, R. Rai, AB Rai, M. Publication date: 2007. Subject(s): TOMATOES EARLY BLIGHT PLANT DISEASES FUNGICIDES PLANT DISEASE CONTROL DISEASE RESISTANCE ALTERNARIA SOLANI ALTERNARIA ALTERNATA GROWTH India IN …Not Availabl
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
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