1,730,257 research outputs found
Pallavi Aiyar interview for the China Boom Project
No full textPallavi Aiyar, a Journalist, was interviewed by the Asia Society staff in New York, USA on April 6, 2009.Transcript and interviewee's bio are available.The China Boom Project classified this interviewee’s field as: MediaOriginal video interviews are available at the Asia Society
The changing landscape of JIBS authorship
No full textIn this study, we examine the landscape of JIBS authorship over time to assess: (1) the accessibility of JIBS to new contributors, and (2) the diversity of authors contributing to JIBS. Our analysis of author data from 1972 to 2014 shows that JIBS is becoming more accessible, as indicated by the high and sustained proportion of first-time contributors to the journal. This is also evident from the recent decline in the share of authors with multiple past JIBS publications. With regard to diversity, our findings show that JIBS has a much wider geographic scope of authors on its landscape in comparison to previous decades. This may be attributed partly to increasing travel and communication in scholarly communities, and partly to the increased migration of scholars in the recent decades. Our analysis of migration patterns of JIBS authors suggests that about 51 % of prominent international business scholars are employed outside their country of birth. Of the 49 % employed in their country of birth, 12 % are return migrants. In our sample, China, South Korea and Canada have the highest number of returnees. The USA, the UK, Germany, the Netherlands and China have the highest number of natives, whose country of birth, country of PhD-granting institution and country of university affiliation are identical.Peer reviewe
A hierarchical spectral clustering and non-linear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy:
No full textMagnetic Resonance Spectroscopy (MRS) is a unique non-invasive method which has recently been shown to have great potential in screening of prostate cancer (CaP). MRS provides functional information regarding the concentrations of different biochemicals present in the prostate at single or multiple locations within a rectangular grid of spectra superposed on the structural T2-weighted Magnetic Resonance Imaging (MRI). Changes in relative concentration of specific metabolites including choline, creatine and citrate compared to "normal" levels is highly indicative of the presence of CaP. Most previous attempts at developing computerized schemes for automated prostate cancer detection using MRS have been centered on developing peak area quantification algorithms. These methods seek to obtain area under peaks corresponding to choline, creatine and citrate which is then used to compute relative concentrations of these metabolites. However, manual identification of metabolite peaks on the MR spectra, let alone via automated algorithms, is a challenging problem on account of low SNR, baseline irregularity, peak-overlap, and peak distortion. In this thesis work a novel computer aided detection (CAD) scheme for prostate MRS is presented that integrates non-linear dimensionality reduction (NLDR) with an unsupervised hierarchical clustering algorithm to automatically identify cancerous spectra. The methodology comprises of two specific aims. Aim 1 is to first automatically localize the prostate region followed in Aim 2 by automated cancer detection on the prostate obtained in Aim 1. In Aim 1, a hierarchical spectral clustering algorithm is used to distinguish between informative and non-informative spectra in order to localize the region of interest (ROI) corresponding to the prostate. Once the prostate ROI is localized, in Aim 2, a non-linear dimensionality reduction (NLDR) scheme in conjunction with a replicated k-means clustering algorithm is used to automatically discriminate between 3 classes of spectra (normal, CaP, and intermediate tissue classes). Results of qualitative and quantitative evaluation of the methodology over 18 1.5 Tesla (T) in-vivo prostate T2-w and MRS studies obtained from the multi-site, multi-institutional ACRIN trial, for which corresponding histological ground truth of spatial extent of CaP is available, reveal that the CAD scheme has a high detection sensitivity (89.60) and specificity (78.98). Results further suggest that the CAD scheme has a higher detection accuracy compared to such commonly used MRS analysis schemes as z-score and PCA.M.S.Includes bibliographical references (p. 47-49).by Pallavi Tiwar
Pallavi Aiyar, Smoke and Mirrors : An Experience of China
Full text linkJayaram N. Pallavi Aiyar, Smoke and Mirrors : An Experience of China. In: Perspectives chinoises, n°110, 2010. pp. 135-137
Bridging the India-Pakistan border with mediated cosmopolitanism
Full text linkPallavi Bansal argues that the exchange of media content between the long-time rivals could foster improved bilateral ties
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