692 research outputs found
Artists’ Moving Image: South Asian Trajectories
No full textA special South Asia-focused journal edition of the journal, 'Moving Image Review and Art Journal'. The edition includes eight articles, features, reviews and interviews as well as a contextual preface by the editors, Lucia King and Rashmi Sawhney. Trajectories of film history and the practices of 'artists' moving image' makers from South Asia are traced and critiqued, including the significant impact of documentary film experimentation from the 1960s to the present. Author contributors are: Nancy Adajania, Avijit Mukul Kishore, Adnan Madani, Shai Heredia, Nicole Wolf, Kaushik Bhamik, Lucia King and Rashmi Sawhney
Migration of Students A Comparative Study among Different Countries of the World
No full textGoing abroad has now become trend for the youngsters mainly in India. Students go abroad for their higher education and majority of them stays there and don't come back. The reason for not coming back can be influenced by many factors like the living standard in the foreign countries, the method of education, the earnings etc. This paper shows the statistical data of the students going abroad from India for higher education as well as the students coming to India for further education and its comparison with the past years. This paper will also examine the various factors which influence the students to go abroad for further education. The data has been collected from many authenticated websites. This is a quantitative research paper. This paper will help the students to decide that which country they have to prefer for education and it is also helpful for the various global organizations, colleges and universities that which factors the international students undertakes to pursue their education overseas. Harkirat Kaur | Dr. Rashmi Aggarwal "Migration of Students- A Comparative Study among Different Countries of the World" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23594.pd
VisionMix Artists, Filmmakers & Curators' Workshop
No full textA catalogue of a symposium and public film screening series held at the Goethe institute and Jawaharlal Nehru University, New Delhi. Curated by Lucia King as Founding Curator of the VisionMix international network of artists, curators and filmmakers. Co-author/curator and network Director, Rashmi Sawhney. Featuring programme details, contributors biographies and critical preface
Energy and emission impact quantification of pavement preservation using life cycle assessment
No full textThis study aims at developing a life cycle assessment (LCA) model to quantify the impact of pavement preservation on energy consumption and greenhouse gas (GHG) emissions. In the past, most of the research focused on the environmental impact of pavements at material and construction stages but ignored the usage stage. The construction stage analyzed in this study contains energy consumption and GHG emissions at material, manufacture, transportation and placement phases. Vehicle operating cost and fuel economy is affected by change in tire rolling resistance during usage stage. This also affects GHG emissions significantly. In this study the Highway Development and Management (HDM-4) model and the Motor Vehicle Emission Simulator (MOVES) were used to analyze fuel consumption and emissions caused by different vehicles on the pavements treated by different preservation treatments. Surface characteristics such as roughness, texture and deflection were taken into account in tire rolling resistance along with general factors such as speed, traffic volume, and road grade. Two pavement sections with different roughness from the long-term pavement performance (LTPP) database were used in the analysis to illustrate the importance of considering usage stage in LCA. The thin overlay was found to have the highest energy consumption and emissions among four preservation treatments during construction stage, but at the same time resulted in the greatest reduction of energy and emission at usage stage. If only construction stage is considered, energy and emissions are ruled by use of amount of material and manufacture process. The reductions of GHG emission at usage stage are much greater than the GHG emission produced at construction stage for all preservation treatments. Excluding the usage stage will omit the fact that construction stage has less impact on pavement LCA than usage stage. Combining both construction and usage stages gave a life-cycle impact of pavement preservation on energy and GHG emission. The results show that there is a significant amount of change in energy consumption and emissions when traffic factors and pavement surface characteristics are considered during usage stage. The study results provide valuable insights in selecting sustainable pavement maintenance strategies from an environmental view point.M.S.Includes bibliographical referencesby Rashmi Gangara
A new determination of molecular mobility in amorphous materials:
No full textThis research investigated how the steady-state and time-resolved emission and intensity of phosphorescence from vanillin (4-hydroxy-3-methoxy benzaldehyde), a commonly used flavor compound, can be used to probe molecular mobility when dispersed within amorphous pure sucrose films. The luminescence properties and photophysical events of vanillin as a triplet state probe in amorphous sucrose films as a function of temperature was successfully characterized. The peak energy, bandwidth and lifetime data suggest that it is sensitive to molecular mobility and can be used monitor molecular mobility in amorphous sucrose films. Time-resolved phosphorescence intensity decays from vanillin were multiexponential both below and above the glass transition temperature, indicating that the pure (single component) amorphous matrix was dynamically heterogeneous on the molecular level.
Vanillin analogs (hydroxy, dihydroxy and ethyl vanillin)) phosphorescence lifetime were found to be extremely sensitive to the local environment in the amorphous sucrose in the glassy state and at the glass-to-rubber transition into the melt, and provided useful insight about the mechanism of vanillin sensitivity to molecular mobility. Based on this the capability of movement of methoxyl group about the C-O bond is thought to be the contributor to sensitivity of vanillin to matrix molecular mobility. The other possibility is that the effect is not that of larger group but rather that of group (like methoxy and ethoxy) not able to hydrogen bond to matrix, which can have a coupling the probe vibrations to the matrix.
Vanillin phosphorescence demonstrated that the average rate of matrix molecular mobility rates increases with an increase in the molecular size and Tg of the sugar in the glucose homologous series. A comparative study of mobility in three excipients sucrose, trehalose and PVP, using vanillin phosphorescence provided useful insight about their stabilizing effect.
The phosphorescence from probes erythrosin B, vanillin and tryptophan was successfully utilized to measure molecular mobility on three different time scales corresponding to each probe in amorphous sucrose and protein film. Molecular mobility was successfully studied in amorphous sucrose films by monitoring phosphorescence from the dual probe combination of erythrosin B: vanillin, erythrosin B: tryptophan and vanillin:tryptophan.Ph.D.Includes bibliographical referencesby Rashmi Satyanarayan Tiwar
Sleep Deprivation Impairs Productivity in Adults With Mood Disorders: A Scoping Review
No full textAbstract
Date Presented 4/1/2017
Sleep deprivation (SD) is common in adults with mood disorders. Yet, little is known about how SD in adults with mood disorders may further restrict participation in occupations. This scoping review synthesized the literature on the effects of sleep deprivation on the productivity of adults with mood disorders.
Primary Author and Speaker: Melissa Knott
Contributing Authors: Christopher Derak, Lisa McAughey, Rashmi Mehrotra, Florence Roudbarani</jats:p
Exploration of temporal dynamics of frequency domain linear prediction cepstral coefficients for dialect classification
No full textFunding Information: The first author would like to thank the University Grants Commission India (Project No. 3582/(NET-NOV2017)) for supporting her PhD. The second author would like to thank the Academy of Finland (Projects 313390 and 330139) for supporting his stay in Finland as a Research Fellow. Funding Information: Rashmi Kethireddy received Bachelor of Technology degree from Kakatiya Institute of Technology and Science, Warangal, India, in 2011, with a specialization in Information Technology (IT). She then worked in IT services for a period of two years. Post that, she received Master of Technology degree from Osmania University, Hyderabad, India, in 2017, with a specialization in Computer Science Engineering. She qualified for University Grant Commission National Eligibility Test (UGC-NET) and hence was awarded with Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF). She is currently a Ph.D., scholar at International Institute of Information Technology, Hyderabad (IIIT-H). Her research interests include speech signal processing, acoustic analysis, machine learning, speech dialectal challenges, and speech dialect identification. Funding Information: The first author would like to thank the University Grants Commission India (Project No. 3582/(NET-NOV2017)) for supporting her PhD. The second author would like to thank the Academy of Finland (Projects 313390 and 330139) for supporting his stay in Finland as a Research Fellow. Publisher Copyright: © 2021 The Author(s)Speakers exhibit dialectal traits in speech at sub-segmental, segmental, and supra-segmental levels. Any feature representation for dialect classification should appropriately represent these dialectal traits. Traditional segmental features such as mel-frequency cepstral coefficients (MFCCs) fail to represent sub-segmental and supra-segmental dialectal traits. This study proposes to use frequency domain linear prediction cepstral coefficients (FDLPCCs) for dialect classification inspired by its long temporal summarization during pole estimation. The i-vectors and x-vectors derived from both baseline (MFCCs, linear prediction cepstral coefficients (LPCCs), perceptual LPCCs (PLPCCs), RASTA filtered PLPCCs (PLPCC-R) and proposed (FDLPCC) features are used for identifying the dialects with support vector machine (SVM) and feed-forward neural network (FFNN) as classifiers. Proposed FDLPCC features have shown to perform better than baseline features such as MFCCs and PLPCC-Rs (best among LPCCs variants) by an absolute improvement of 3.4% and 3.9% (in unweighted average recall (UAR)), with i-vector + SVM system and 1.6% and 4.6% (in UAR), i-vector + FFNN system respectively. It is also found that there exists a complementary information between the proposed and baseline features. Furthermore current studies are compared with previous studies and it is found that performances of current studies are better than previous studies.Peer reviewe
Orthogonally blocked mixture designs for Darroch and Waller model
No full textSingh (2003) gave conditions and constructed optimal orthogonally blocked designs for Darroch and Waller quadratic model. Aggarwal et al. (2008) constructed optimal orthogonally blocked designs based on F-squares for Darroch and Waller quadratic model. Prescott (2000, 2004) has used augmented pair designs for the projection of response surface designs onto mixture space and obtained orthogonally blocked designs. In this paper, we have used definitive screening designs given by Jones and Nachtsheim (2011), Xiao et al. (2012), Nguyen and Stylianou (2012) and Phoa and Lin (2013) and obtained designs for mixture experiments. These designs are space filling designs as compared to the traditional designs. This paper explores the fitting of Darroch and Waller quadratic model to these mixture designs and compares them on the basis of uniformity and D-, A- and G- efficiency. These designs can also be orthogonally blocked
India’s Merchandise Exports in a Comparative Asian Perspective
No full textAs part of a major economic reform program aimed at improving external competitiveness, India’s trade and exchange rate policies were liberalized and restructured since the early 1990s. The major reforms included (i) exchange rate reforms to remove anti-export bias, (ii) trade liberalization to induce resource allocation along the lines of comparative advantage, and (iii) liberalization of inward foreign direct investment (FDI). How did Indian exports respond to changes in the incentive structure engendered by the reforms and what are the emerging issues? This paper highlights some key empirical results and stylized facts pertaining to India’s merchandise (goods) exports. While India’s merchandise exports in dollar terms grew moderately at about 8.1% per year during the first decade of economic reforms (1993-2001), the second decade of reforms (2002-2011) stands apart for its strong growth rate of 21.3% per annum. Data for the more recent years, however, indicate that the value of exports plummeted from a peak of US299 billion in 2017 with a negative annual growth rate of 1.9% per annum. Further, throughout the post-reform period, India’s imports have grown faster than exports resulting in increasing trade deficits in the merchandise account. Needless to say, the long-term solution to the problem of unsustainable current account deficit lies in ensuring that export growth keeps pace with import growth. The crucial question is: what type of policy interventions would help achieve faster export growth?. The answer, taking a cue from some recent studies, hinges on whether export performance is primarily driven by growth at the extensive margin (new trading relationships) or at the intensive margin (increase in trade of existing relationships). The intensive margin of a country’s export growth is attributable to its persistent export relationships—that is, exports of already exported products (old products) to already existing market destination for those products (old markets). Note that intensive margin growth can arise as a result of price growth, quantity growth, or both. The extensive margin refers to changes in the value of exports due to diversification of old products to new market destinations and/or due to the exports of new products. What has been the relative contribution of extensive and intensive margins to India’s export growth during the recent past? How does India’s performance compare with that of China? We argue that China’s high degree of specilisation in labour-intensive industries/product lines and its high export market penetration in traditional richer partner countries (particularly high income OECD countries) hold the key in understanding its superior export performance. India, by contrast, due to an idiosyncratic pattern of specialization in capital- and skill-intensive activities, has failed to exploit its export potential in high-income countries. The composition of Indian exports shows an anomaly in that, despite being a labor-abundant country, the fast growing exports from India are either skilled labor-intensive or capital-intensive. While the share of capital-intensive products increased consistently from about 32% in 2000 to nearly 53% in 2015, the share of unskilled labor-intensive products declined from about 30% to 17%. This type of specialization is an anomaly in a country like India with large pools of unskilled labor. Due to its idiosyncratic specialization, India has been locked out of the vertically integrated global supply chains in several manufacturing industries. It is almost tautological to state that export growth that is driven by capital- and skill-intensive industries cannot be sustained in a capital scarce but labor-abundant economy. The disproportionate bias of its export composition toward capital-and skill-intensive products has provided India with a comparative advantage in relatively poorer regions (such as Africa) but at the cost of losing market shares in the richer countries. Products from India with high technology and skill content are unlikely to make inroads into the quality conscious richer country markets. These products, however, enjoy a competitive advantage in the relatively poorer countries. At the same time, rich country markets provide a huge potential for labor-intensive exports from developing countries such as India. Thus, specialization out of traditional labor-intensive products implies a general loss of India’s export potential in advanced country markets. In the past, high-income OECD countries accounted for a major share of India’s export basket. However, their dominance has declined considerably over the last two decades. The aggregate share of these markets in India’s merchandise exports decreased from 58.2% in 1992 to 38.6% in 2015. On the other hand, India’s market share in low- and middle-income countries increased steadily from 18.4% in 1992 to 35.8% in 2015. For China, the share of high-income OECD countries increased sharply from 37.7% in 1992 to 62% in 2000 and then declined to 47.5% in 2015. China’s export market penetration in high-income OECD countries, despite some decline in the last decade, remains significantly higher than that of India. Contrary to the general perception, there exists a significant potential for India to expand and intensify its export relationships with the traditional developed country partners. However, this would necessitate greater participation in global value chains and a realignment of India’s specialization on the basis of its true comparative advantage in labor-intensive production processes and product lines
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