1,768,237 research outputs found

    Interview with Deepak Nayyar

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    Professor of Economics at the Jawaharlal Nehru University, New Delhi, India, Deepak Nayyar, talked with GUNI about the dangers and the opportunities created by markets and globalization in terms of their effects on values in higher education and also on the higher education system. He explained the demand for higher education in China and India, about how these countries have to act regarding the internationalisation of education and the global economy

    Interview with Deepak Nayyar

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    Professor of Economics at the Jawaharlal Nehru University, New Delhi, India, Deepak Nayyar, talked with GUNI about the dangers and the opportunities created by markets and globalization in terms of their effects on values in higher education and also on the higher education system. He explained the demand for higher education in China and India, about how these countries have to act regarding the internationalisation of education and the global economy

    My Name Is Deepak

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    This 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

    Deepak on Deepak

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    Green approaches to biocomposite materials science and engineering/ Deepak Verma, Siddharth Jain, Xiaolei Zhang, and Prakash Chandra Gope, editors.

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    Includes bibliographical references and index."This book explores timely research on the various available types of natural fibers and the use of these fibers as a sustainable alternative to synthetic fibers and polymers by emphasizing research-based solutions for sustainability across various industries"--Provided by publisher.Natural fibers for the production of green composites / Xiaolei Zhang [and 3 others] -- Processing technologies for green composites production / Deepak Verma, Garvit Joshi, Rajneesh Dabral -- Concurrent design of green composites / Muhd Ridzuan Mansor [and 5 others] -- Effect of bamboo hybridization and staking sequence on mechanical behavior of bamboo-glass hybrid composite / Piyush P. Gohil [and 3 others] -- Estimation of mechanical and tribological properties of epoxy-based green composites / Supriyo Roy [and 3 others] -- Fabrication and processing of pineapple leaf fiber reinforced composites / S. H. Sheikh Md. Fadzullah, Zaleha Mustafa -- Green composites and their properties: a brief introduction / Deepak Verma [and 4 others] -- Rice husk reinforcement in polymer composites / Sanjay Sharma, Deepak Verma -- Techno-economic and life cycle assessment for the production of green composites / Siddharth Jain, Xiaolei Zhang -- Banana fiber reinforcement and application in composites: a review / Abhinav Shandilya, Ayush Gupta, Deepak Verma -- Bamboo fiber-reinforced composites / Irem Sanal -- Coir fiber-reinforced composites / Irem Sanal.1 online resource (322 pages)

    Sideffective - system to mine patient reviews: sentiment analysis

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    Sideffective 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

    Varjominän kohtaaminen eheyttää

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    Kirja-arvostelu: Varjominä : löydä kätketty voimasi / Deepak Chopra, Debbie Ford & Marianne Williamson. Basam Books, 2011

    Cooperative institutions and horticultural exports in new trade regime

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    Developing countries like India should find potentiality in non- traditional exports at a time when growth in the traditional ones is foundering. At the same time, it deserves mention that the future growth in horticultural production in developing world mainly depend on future price mechanism and also on the import demand of these high value crops in various regions of the world. The production deficit of various regions in fruits and vegetables will act as engine of export growth of the same for developing nations. Import demand for fruits and vegetables has already been predicted to grow sharply in developed region of the world in the near future. This will lead to rise in export prices, especially for fruits. Production deficit of other countries and regions and a likelihood of rise in export prices of these high value crops may serve as a catalyst for significant expansion in the production of horticultural crops, particularly in developing world. India is expected to take advantage of this situation and cooperatives are likely to play a key role in shaping India’s exports. However, in order to exploit this situation cooperatives have to be developed as economically effective organizations, capable of meeting the challenges of the new, liberalized economic environment. Besides, they have to achieve full utilization of the existing infrastructural facilities with due emphasis on scaling up of the economy through expansion of production capacity and upgradation of technology.Cooperative Institutions Horticultural Exports

    India NSE Deepak Nitrite 24 Months Stock data

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    Deepak Nitrite Stock data from 16-08-2018 TO 14-08-2020 from NS
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