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Search Results: 1 - 10 of 3782 matches for " Rashmi Prasad "
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Discourse Structure: Swings and Roundabouts
Bonnie Webber,Rashmi Prasad
Oslo Studies in Language , 2009,
Abstract: The goal of understanding how discourse is more than a sequence of sentences has engaged researchers for many years. Researchers in the 1970's attempted to gain such understanding by identifying and classifying the phenomena involved in discourse. This was followed by attempts in the 1980s and early 1990s to explain discourse phenomena in terms of theories of abstract structure. Recent efforts to develop large-scale annotated discourse corpora, along with more lexically grounded theories of discourse are now beginning to reveal interesting patterns and show where and how early theories might be revised to better account for discourse data.
Genital Human Papilloma Virus Infections
Rashmi Prasad Yadav
Nepal Journal of Obstetrics and Gynaecology , 2010, DOI: 10.3126/njog.v5i1.5052
Abstract: DOI: http://dx.doi.org/10.3126/njog.v5i1.5052 NJOG 2010 Jul-Aug; 5(1): 3-6
Systematic and Integrative Analysis of Proteomic Data using Bioinformatics Tools
Rashmi Rameshwari,T. V. Prasad
Computer Science , 2012,
Abstract: The analysis and interpretation of relationships between biological molecules is done with the help of networks. Networks are used ubiquitously throughout biology to represent the relationships between genes and gene products. Network models have facilitated a shift from the study of evolutionary conservation between individual gene and gene products towards the study of conservation at the level of pathways and complexes. Recent work has revealed much about chemical reactions inside hundreds of organisms as well as universal characteristics of metabolic networks, which shed light on the evolution of the networks. However, characteristics of individual metabolites have been neglected in this network. The current paper provides an overview of bioinformatics software used in visualization of biological networks using proteomic data, their main functions and limitations of the software.
Tomographic Evaluation of Structural Variations of Nasal Cavity in Various Nasal Pathologies  [PDF]
Jyotirmoy Biswas, Chandrakant Y. Patil, Prasad T. Deshmukh, Rashmi Kharat, Vijayashree Nahata
International Journal of Otolaryngology and Head & Neck Surgery (IJOHNS) , 2013, DOI: 10.4236/ijohns.2013.24028

Objective: The aim of the present study was to evaluate the structural variations of nasal cavity in reference to frequency and types at the key area i.e. the ostiomeatal complex. Materials and Methods: Computed tomography of Paranasal sinuses of 50 patients was studied for clinical suspicion of various sinonasal pathologies. Results: The most commonly encountered anatomical variations in this study were Deviated Nasal Septum in 78% (39 patients), followed by Concha Bullosa in 36% (18 patients), Agger Nasi cell in 18% (nine patients), Pneumatised septum in 12% (six patients), Paradoxical Middle Turbinate and Septated Maxillary Sinus in 10% (five patients each) and Pneumatised Uncinate Process 6% (three patients). In quite a few patients we witnessed more than one variation. Conclusion: The anatomical variations in the nose and ostiomeatal complex are not uncommon, with the most frequent ones involving the nasal septum and the middle turbinate.

The biomedical discourse relation bank
Rashmi Prasad, Susan McRoy, Nadya Frid, Aravind Joshi, Hong Yu
BMC Bioinformatics , 2011, DOI: 10.1186/1471-2105-12-188
Abstract: We have developed the Biomedical Discourse Relation Bank (BioDRB), in which we have annotated explicit and implicit discourse relations in 24 open-access full-text biomedical articles from the GENIA corpus. Guidelines for the annotation were adapted from the Penn Discourse TreeBank (PDTB), which has discourse relations annotated over open-domain news articles. We introduced new conventions and modifications to the sense classification. We report reliable inter-annotator agreement of over 80% for all sub-tasks. Experiments for identifying the sense of explicit discourse connectives show the connective itself as a highly reliable indicator for coarse sense classification (accuracy 90.9% and F1 score 0.89). These results are comparable to results obtained with the same classifier on the PDTB data. With more refined sense classification, there is degradation in performance (accuracy 69.2% and F1 score 0.28), mainly due to sparsity in the data. The size of the corpus was found to be sufficient for identifying the sense of explicit connectives, with classifier performance stabilizing at about 1900 training instances. Finally, the classifier performs poorly when trained on PDTB and tested on BioDRB (accuracy 54.5% and F1 score 0.57).Our work shows that discourse relations can be reliably annotated in biomedical text. Coarse sense disambiguation of explicit connectives can be done with high reliability by using just the connective as a feature, but more refined sense classification requires either richer features or more annotated data. The poor performance of a classifier trained in the open domain and tested in the biomedical domain suggests significant differences in the semantic usage of connectives across these domains, and provides robust evidence for a biomedical sublanguage for discourse and the need to develop a specialized biomedical discourse annotated corpus. The results of our cross-domain experiments are consistent with related work on identifying connectives
Attribution and its annotation in the Penn Discourse TreeBank
Rashmi Prasad,Nikhil Dinesh,Alan Lee,Aravind Joshi
Traitement Automatique des Langues , 2007,
Abstract: In this paper, we describe an annotation scheme for the attribution of abstract objects (propositions, facts, and eventualities) associated with discourse relations and their arguments annotated in the Penn Discourse TreeBank. The scheme aims to capture both the source and degrees of factuality of the abstract objects through the annotation of text spans signalling the attribution, and of features recording the source, type, scopal polarity, and determinacy of attribution.
Perception of mothers about their daughters future in rural Karnataka
Indian Journal of Community Medicine , 2010,
Robust Cooperative Spectrum Sensing for Disaster Relief Networks in Correlated Environments
Nuno Pratas,Nicola Marchetti,Neeli Rashmi Prasad,Antonio Rodrigues,Ramjee Prasad
Computer Science , 2009,
Abstract: Disaster relief networks are designed to be adaptable and resilient so to encompass the demands of the emergency service. Cognitive Radio enhanced ad-hoc architecture has been put forward as a candidate to enable such networks. Spectrum sensing, the cornerstone of the Cognitive Radio paradigm, has been the focus of intensive research, from which the main conclusion was that its performance can be greatly enhanced through the use of cooperative sensing schemes. To apply the Cognitive Radio paradigm to Ad-hoc disaster relief networks, the design of effective cooperative spectrum sensing schemes is essential. In this paper we propose a cluster based orchestration cooperative sensing scheme, which adapts to the cluster nodes surrounding radio environment state as well as to the degree of correlation observed between those nodes. The proposed scheme is given both in a centralized as well as in a decentralized approach. In the centralized approach, the cluster head controls and adapts the distribution of the cluster sensing nodes according to the monitored spectrum state. While in the decentralized approach, each of the cluster nodes decides which spectrum it should monitor, according to the past local sensing decisions of the cluster nodes. The centralized and decentralized schemes can be combined to achieve a more robust cooperative spectrum sensing scheme. The proposed scheme performance is evaluated through a framework, which allows measuring the accuracy of the spectrum sensing cooperative scheme by measuring the error in the estimation of the monitored spectrum state. Through this evaluation it is shown that the proposed scheme outperforms the case where the choice of which spectrum to sense is done without using the knowledge obtained in previous sensing iterations, i.e. a implementation of a blind Round Robin scheme.
Use of Image processing software in Hip Joint surgery  [PDF]
Rashmi Uddanwadiker
Advances in Bioscience and Biotechnology (ABB) , 2011, DOI: 10.4236/abb.2011.22011
Abstract: The scope of this project was to investigate the possibility of application of Image Processing Technique in the field of Shaft Alignment process. Misalignment of shaft using image processing software Visionbuilder was calculated. The further purpose of this project was to check whether the image processing technique can be used in bone transplant surgery. The model of the hip was used for the experimentation purpose. Image processing software Visionbuilder was used to match the profiles of the bone before implant and bone after implant.
Stress Analysis of Crane Hook and Validation by Photo-Elasticity  [PDF]
Rashmi Uddanwadiker
Engineering (ENG) , 2011, DOI: 10.4236/eng.2011.39115
Abstract: Crane Hooks are highly liable components and are always subjected to failure due to accumulation of large amount of stresses which can eventually lead to its failure. To study the stress pattern of crane hook in its loaded condition, a solid model of crane hook is prepared with the help of CMM and CAD software. Real time pattern of stress concentration in 3D model of crane hook is obtained. The stress distribution pattern is verified for its correctness on an acrylic model of crane hook using Diffused light Polariscope set up. By predicting the stress concentration area, the shape of the crane is modified to increase its working life and reduce the failure rates.
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