1,879 research outputs found

    The A/A-bar distinction and movement theory

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    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Linguistics and Philosophy, 1990.Includes bibliographical references (leaves [195]-200).by Anoop Kumar Mahajan.Ph.D

    Supplemental Material - The etiological spectrum of miliary brain lesions: A systematic review of published cases and case series

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    Supplemental Material for Estimating a The etiological spectrum of miliary brain lesions: A systematic review of published cases and case series by Ravindra Kumar Garg, Vimal Paliwal, Swastika Suviriya, Hardeep Singh Malhotra, and Anoop Verma in The Neuroradiology Journal</p

    An additional record of Fejervarya manoharani Garg and Biju from the Western Ghats with a description of its complete mitochondrial genome

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    Kiran, S. Kumar, Anoop, V. S., Sivakumar, K. C., Dinesh, Raghunathan, Mano, J. P., Kaushik, Deuti, Sanil, George (2017): An additional record of Fejervarya manoharani Garg and Biju from the Western Ghats with a description of its complete mitochondrial genome. Zootaxa 4277 (4): 491-502, DOI: https://doi.org/10.11646/zootaxa.4277.4.

    Oil price shocks and their impact on the Indian economy: evidence from sign restricted SVAR model

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    In this paper, ‘a sign restricted Structural Vector Autoregression’ (SVAR) model has been employed to understand the macroeconomic impact of oil shocks on the Indian economy. Following the identification procedure of Baumister et al. (2010), three types of shocks have been identified using sign restrictions, namely, an oil supply shock, oil demand shock created by global economic activity, and oil-specific demand shock. The results based on quarterly data from 1996 Q1 to 2013 Q4 indicate that output growth and inflation in the Indian economy react very differently to different shocks in oil prices

    Additive manufacturing technologies from an optimization perspective/ Kaushik Kumar, Divya Zindani, and J. Paulo Davim, editors.

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    Includes bibliographical references and index."This book examines the latest advances in next-generation manufacturing. It explores the basic and applied knowledge of additive manufacturing"--Optimization of additive manufacturing for layer sticking and dimensional accuracy / Emin Kececi -- Designing thin 2.5D parts optimized for fused deposition modeling / James Novak, Mark Liu, Jennifer Loy -- Multi criterion decision method for roughness optimization of fused deposition modelled parts : roughness optimization of FDM parts / Azhar Equbal, Md. Asrif Equbal, Md. Israr Equbal, Anoop Sood -- Importance of 3D printing technology in medical fields / Ranjit Barua, Sudipto Datta, Amit Roychowdhury, Pallab Datta -- Additive manufacturing for crack repair applications in metals : a case of titanium (Ti) alloys / Tawanda Marazani, Daniel Madyira, Esther Titilayo Akinlabi -- Additive manufacturing-laser metal deposition and effect of preheating on properties of deposited Ti-4822-4 alloy / Kamardeen Abdulrahman, Esther Akinlabi, Rasheedat Mahamood -- Parameters optimization of FDM for the quality of prototypes using an integrated MCDM approach : parameters optimization of FDM using MCDM approach / Dr. Jagadish, Sumit Bhowmik -- Additive manufacturing in education : a review / Divya ZIndani, Nadeem Faisal, Kaushik Kumar -- Effect of infill parameters and number of shells on 3D printing flexure hinges / Mine Seçkin, Necla Yaman Turan -- Impact of 3D printing on education / Dinesh C. Dobhal, Lata Nautiyal.1 online resourc

    Contextual bitext-derived paraphrases in automatic MT evaluation

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    In this paper we present a novel method for deriving paraphrases during automatic MT evaluation using only the source and reference texts, which are necessary for the evaluation, and word and phrase alignment software. Using target language paraphrases produced through word and phrase alignment a number of alternative reference sentences are constructed automatically for each candidate translation. The method produces lexical and lowlevel syntactic paraphrases that are relevant to the domain in hand, does not use external knowledge resources, and can be combined with a variety of automatic MT evaluation system

    Accuracy-based scoring for phrase-based statistical machine translation

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    Although the scoring features of state-of-the-art Phrase-Based Statistical Machine Translation (PB-SMT) models are weighted so as to optimise an objective function measuring translation quality, the estimation of the features themselves does not have any relation to such quality metrics. In this paper, we introduce a translation quality-based feature to PBSMT in a bid to improve the translation quality of the system. Our feature is estimated by averaging the edit-distance between phrase pairs involved in the translation of oracle sentences, chosen by automatic evaluation metrics from the N-best outputs of a baseline system, and phrase pairs occurring in the N-best list. Using our method, we report a statistically significant 2.11% relative improvement in BLEU score for the WMT 2009 Spanish-to-English translation task. We also report that using our method we can achieve statistically significant improvements over the baseline using many other MT evaluation metrics, and a substantial increase in speed and reduction in memory use (due to a reduction in phrase-table size of 87%) while maintaining significant gains in translation quality

    Tracing the building of Robert's connections in mathematical problem solving: a sixteen-year study

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    This research analyzes how external representations created by a student, Robert, helped him in building mathematical understanding over a sixteen-year period. Robert (also known as Bobby), was an original participant of the Rutgers longitudinal study where students were encouraged to work on problem-solving tasks with minimum intervention (Maher, 2005). The research demonstrates how Robert built robust counting techniques by tracing the evolvement of his problem-solving heuristics, strategies, justifications and external representations. The study also examines how Robert made connections to his earlier problem solving. In addition, the origins of Robert’s ideas related to Pascal’s Triangle and Pascal’s Pyramid are investigated. Fifteen sessions were selected between Robert’s fifth grade (February 26, 1993) and post-graduate interviews (March 27, 2009) yielding more than twenty hours of video data. Powell, Francisco, and Maher (2003) model was used for analysis where by each session was viewed, transcribed and coded for critical events to create a comprehensive narrative. The study reveals that mature combinatorial techniques were a part of Robert’s counting strategies as early as middle school. Robert used binary notation to count two-colored candle arrangements and later to count the number of ways a team could win a World Series; modified exponential formulae to account for combinations for a garage door opener, arrangements for n-colored candles and n-toppings pizzas; discovered the combinations formula, C(n, 2), in his eleventh grade; and connected these solutions to Pascal’s identities. In general, Robert looked for patterns in his solutions; generalized the findings; and identified structural similarities in tasks presented to him as he connected three-position garage door opener to three-colored candles arrangements, pizza with four toppings to towers four high, and directions on Pascal’s Triangle to routes for a taxi on a two-dimensional grid. External representations created by Robert served as communication tools for him and provided insight into his problem solving heuristics and mathematical understanding. The research contributes to the growing body of case studies from Rutgers longitudinal study providing evidence that building of early mathematical ideas is the foundation of more advanced learning (Davis & Maher, 1997).Ph.D.Includes bibliographical referencesIncludes vitaby Anoop Ahluwali
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