1,743,664 research outputs found

    Dr. Sanjeev Pradhan

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    Dr. Sanjeev Pradhan. Portrait. Vascular Surgery.https://elischolar.library.yale.edu/surgeryimages/1163/thumbnail.jp

    Conventional Ultrafiltration Versus Combined Conventional and Modified Ultrafiltration on Clinical Outcomes of Pediatric Cardiac Surgery

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    *Corresponding author: Dr Sanjeev Singh, Department of Anaesthesiology and Intensive Care, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, E-mail: [email protected] J Anesth Clin Res, an open access journal ISSN: 2155-614

    Tapping Economies of Scale and Scope in Consumer Cooperation - A Case Analysis of Possible Cooperation among selected Cooperatives

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    Because of its narrow and negative perspective of safeguarding the interests of only poor consumers against unethical practices of the private traders, consumer cooperation in India seems to have failed, except probably in some isolated pockets. A number of social welfare functions like poverty alleviation and public distribution of essential items of consumption have been imposed on them at the cost of their basic economics. With the basic micro and macro-economic rationale for consumer cooperatives as a positive form of economic organization being lost sight of, they seem to be facing enormous problems both historically as well as currently in a era of economic liberalization. Their worries seem to have been compounded with the threat of impending competition from large private enterpriss - both domestic and foreign, which highlights the need for evolving strategies to rectivy their systemic weaknesses and tackling the competition head on. This case has attempted to document just such an initiative through a round table conference with several doyens of the consumer cooperative movement in India such as Warana Bazar and Amalsad Mandali as well as some fledging consumer cooperatives from West Bengal which are already in existence for some time or contemplating entry into this field. The roundtable conference organized in the spirit of Cooperation among Cooperatives attempted to evolve strategies to capture economies of scale and scope in order to take on the competition, as well as to facilitate dissemination of ideas and information across the country.

    Problems of computational and informational complexity in machine vision and learning

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    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1991.Includes bibliographical references (p. 155-163).by Sanjeev Ramesh Kulkarni.Ph.D

    Corporate venture capital

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    Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 1997.Includes bibliographical references (leaves 119-120).by Sanjeev Verma.M.B.A

    Gupta, Sanjeev

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    Factor Affecting Customer Service in Supply Chain Management of Small and Medium Enterprises: An Empirical Study of Jammu Region

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    Factor Affecting Customer Service in Supply Chain Management of Small and Medium Enterprises: An Empirical Study of Jammu Region Author / Authors : Sanjeev Lalhotra and Prof. B.C Sharma Page no.149-165 Discipline : Applied Economics/ Management/ Commerce Script/language : Roman/English Category : Research paper Keywords: Customer services, Supply Chain Management, Small and Medium Enterprises

    Dataset in support of the thesis 'Speech enhancement by using deep learning algorithms'

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    The source code and audio datasets of my PhD project. 1. https://www.openslr.org/12 LibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read audiobooks from the LibriVox project, and has been carefully segmented and aligned. Acoustic models, trained on this data set, are available at kaldi-asr.org and language models, suitable for evaluation can be found at http://www.openslr.org/11/. For more information, see the paper &quot;LibriSpeech: an ASR corpus based on public domain audio books&quot;, Vassil Panayotov, Guoguo Chen, Daniel Povey and Sanjeev Khudanpur, ICASSP 2015 2.https://www.openslr.org/17 MUSAN is a corpus of music, speech, and noise recordings. This work was supported by the National Science Foundation Graduate Research Fellowship under Grant No. 1232825 and by Spoken Communications. You can cite the data using the following BibTeX entry: @misc{musan2015, author = {David Snyder and Guoguo Chen and Daniel Povey}, title = {{MUSAN}: {A} {M}usic, {S}peech, and {N}oise {C}orpus}, year = {2015}, eprint = {1510.08484}, note = {arXiv:1510.08484v1} } 3. source_code.zip The program from parts of my PhD project. 4.SJ_EXP.zip The program of the subjective experiment corresponding to the last chapter.</span
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