9,537 research outputs found
A model of cooperative R&D among competitors
No full text"Revision: January 1990."Includes bibliographical references (p. 29-32).Deepak K. Sinha and Michael A. Cusumano
Book review: Mishra, Deepak K. (Ed.), Internal Migration in Contemporary India
No full text Mishra, Deepak K. (Ed.), Internal Migration in Contemporary India. New Delhi: SAGE, 2016, pp. 364, ₹995, ISBN: 978-93-51508-57-1. </jats:p
Multiple point competition as a predictor or strategy, structure and economic preference
No full textThesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1991.Includes bibliographical references (leaves 144-156).by Deepak K. Sinha.Ph.D
India NSE Deepak Nitrite 24 Months Stock data
No full textDeepak Nitrite Stock data from 16-08-2018 TO 14-08-2020 from NS
India NSE Deepak Nitrite 24 Months Stock data
No full textDeepak Nitrite Stock data from 16-08-2018 TO 14-08-2020 from NS
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Relational Care - with Mary Larkin and Manik Deepak-Gopinath [Podcast]
No full textWhat is 'relational care' and how can it improve the day-to-day experience of carers and those they care for? What are its implications for relationships between staff and service users in care settings? And how does the concept of relational care enable us to re-imagine the role of place and space in the experience of care? These are some of the questions we explore in this episode with Mary Larkin and Manik Deepak-Gopinath who recently completed a research project on the value and practice of relational care with older people.
Mary is Professor of Care, Carers and Caring at The Open University in the UK, where her research has focused on carers and caring and adult social care. She is the co-author, most recently of Family Carers and Caring, published in 2023 by Emerald. Manik is a Lecturer in Ageing, also at The Open University, and is a critical gerontologist with interests in the intersection of ageing, place and wellbeing, and in the intimate and family ties of older adults
My Name Is Deepak
No full textThis chapter looks at the author's responses to being given a nickname by his co-workers: Tupac. They do it in a friendly manner, but the author doesn’t understand the connection with the American rapper. It makes him think about who he is, his identity, and how people see him in his adopted country.</p
Meteorological studies using a VHF radar / by Deepak K. Rajopadhyaya.
No full textCopies of author's previously published articles inserted.Bibliography: p. 223-244.xx, 244 p. : ill. (some col.) ; 30 cm.Thesis (Ph.D.)--University of Adelaide, Dept. of Physics and Mathematical Physics, 199
Sideffective - system to mine patient reviews: sentiment analysis
No full textSideffective is the system to crawl, rank and analyze patient testimonials about side ffeects from common medications. Since the wealth of any mining model is the Data corpus, the data collection phase involved extensive crawling of massive medical websites comprised of user forums from the internet. Subsequently, the raw files were subjected to certain site-specific parsing routines, yielding outputs conforming to a well-defined data model. Currently, the system holds close to 400,000 user testimonials pertaining to more than 2500 drugs/medicines. Sideffective aims at gathering and aggregating this wealth of information, build useful associations and present interesting observations and numeric validations, all in a user-friendly interface. The important issues that we have tried to tackle are: Extracting side effects without relying on pre-built lists, aggregating distribution of different side effect for a give drug, site-specific search, ranking and determining the negativity of reviews. The system has been jointly built by Deepak Yalamanchi and Sangeetha Rajagopalan under the guidance of Prof. Tomasz Imielinski. This thesis focuses mainly on Sentiment Analysis of patient reviews. While most existing sentiment analysis systems are predicated by POS (parts of speech) tagging or Bayesian sentiment analysis methods, the same cannot be applied to medical reviews as they generally carry a negative flavor in them. We thereby approached the problem by identifying the features in the sentence and calibrating the sentiment on a Negativity Meter based on their relation to sentiment words. A feature, as defined for the purpose of this thesis, can be a medicine, a side effect or a symptom. The sentiment of each feature is determined by the aggregate of all its polarities with respect to each sentiment word, where the polarity is determined by an inverse relation to the distance of the feature from the sentiment word. Each sentence is then evaluated by the cumulative polarity of all the features contained in it. Sentiment of a review is determined by individually determining the sentiment of each sentence and then getting a weighted sum score of all the sentences in the review. The accuracy of a sentiment analysis system is, in principle, how well it agrees with human judgments. Experimental results, involving human reviewers (extracted from site: www.askapatient.com) and correlating them back to the negativity rating of each review yield conclusive results, demonstrating the effectiveness of the technique. We have also implemented a customized Lucene search on the data using a multi-review summarization approach and a ranking scheme based on the feature-list. Ranking priority is given to the review that has the largest feature list size.M.S.Includes bibliographical referencesby Deepak Yalamanch
Specialty fibers for high power fiber lasers
No full textThis paper reviews our recent work on novel large-mode area fibers for high power lasers and amplifiers. An ultra-low-NA fiber and single-trench fiber have been proposed for mode area scaling of the fundamental mode. In case of single trench fiber design, resonant coupling of the higher order modes has been exploited to achieve effective single mode operation in fiber with large effective mode area. Our proposed fiber designs are easy to fabricate using conventional low-loss fiber fabrication techniques, and moreover, being all solid structure, they ensure easy cleaving and splicing. A monolithic and compact high power fiber laser/amplifier device with a good output beam quality can be achieved using Single-trench fiber design
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