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Institution

Indian Institute of Technology Bombay

EducationMumbai, India
About: Indian Institute of Technology Bombay is a education organization based out in Mumbai, India. It is known for research contribution in the topics: Population & Thin film. The organization has 16756 authors who have published 33588 publications receiving 570559 citations.


Papers
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01 Jan 2010
TL;DR: This paper proposes in this paper a fall-back strategy to do sentiment analysis for Hindi documents, a problem on which, to the best of the knowledge, no work has been done until now.
Abstract: Sentiment Analysis (SA) research has gained tremendous momentum in recent times. However, there has been little work in this area for an Indian language. We propose in this paper a fall-back strategy to do sentiment analysis for Hindi documents, a problem on which, to the best of our knowledge, no work has been done until now. (A) First of all, we study three approaches to perform SA in Hindi. We have developed a sentiment annotated corpora in the Hindi movie review domain. The first of our approaches involves training a classifier on this annotated Hindi corpus and using it to classify a new Hindi document. (B) In the second approach, we translate the given document into English and use a classifier trained on standard English movie reviews to classify the document. (C) In the third approach, we develop a lexical resource called Hindi-SentiWordNet (H-SWN) and implement a majority score based strategy to classify the given document.

147 citations

Journal ArticleDOI
TL;DR: In this paper, a unique C-H allylation has been discovered with unbiased aliphatic olefins, and an intimate M-L affiliation between a high-valent cobalt catalyst and amino-quinoline derived benzamides has been found to be crucial for this unprecedented selectivity.
Abstract: A unique C–H allylation has been discovered with unbiased aliphatic olefins. An intimate M–L affiliation between a high-valent cobalt catalyst and amino-quinoline derived benzamides has been found to be crucial for this unprecedented selectivity. An exemplary set of aliphatic olefins, high yields coupled with excellent regio- and stereoselectivity, and wide functional group tolerances are noteworthy. In addition, a catalytically competent organometallic Co(III) species has been identified through X-ray crystallography. This study is expected to facilitate new synthetic designs toward unconventional allylic selectivity with aliphatic olefins.

147 citations

Journal ArticleDOI
TL;DR: Examination of the bacterial metabolism by microarrays and time course Northern blot showed that in addition to the glyoxylate shunt, the TCA cycle and the acetate uptake, other metabolic pathways are active differently in the two strains.
Abstract: In a series of previous reports it was established by implementing metabolic flux, NMR/MS, and Northern blot analysis that the glyoxylate shunt, the TCA cycle, and acetate uptake by acetyl-CoA synthetase are more active in Escherichia coli BL21 than in Escherichia coli JM109. These differences were accepted as the reason for the differences in the glucose metabolism and acetate excretion of these two strains. Examination of the bacterial metabolism by microarrays and time course Northern blot showed that in addition to the glyoxylate shunt, the TCA cycle and the acetate uptake, other metabolic pathways are active differently in the two strains. These are gluconeogenesis, sfcA shunt, ppc shunt, glycogen biosynthesis, and fatty acid degradation. It was found that in E. coli JM109, acetate is produced by pyruvate oxidase (poxB) using pyruvate as a substrate rather than by phosphotransacetylase-acetate kinase (Pta-AckA) system which uses acetyl-CoA. The inactivation of the gluconeogenesis enzyme phosphoenolpyruvate synthetase (ppsA), the activation of the anaplerotic sfcA shunt, and low and stable pyruvate dehydrogenase (aceE, aceF) cause pyruvate accumulation which is converted to acetate by pyruvate oxidase B. The behavior of the ppsA, acs, and aceBAK in JM109 was dependent on the glucose supply strategy. When the glucose concentration was high, no transcription of these genes was observed and acetate concentration increased, but at low glucose concentrations these genes were expressed and the acetate concentration decreased. It is possible that there is a major regulatory molecule that controls not only ppsA and aceBAK but also acs. The gluconeogenesis pathway (fbp, pckA, and ppsA) which leads to glycogen accumulation is constitutively active in E. coli BL21 regardless of glucose feeding strategy.

147 citations

Journal ArticleDOI
Betty Abelev1, Jaroslav Adam2, Dagmar Adamová3, Madan M. Aggarwal4  +987 moreInstitutions (93)
TL;DR: The production of the double-strange baryon resonances (Sigma (1385+/-), Xi (1530)(0)) has been measured at mid-rapidity (vertical bar y vertical bar < 0.5) in proton-proton collisions at root s = 7 TeV with the ALICE detector at the LHC as discussed by the authors.
Abstract: The production of the strange and double-strange baryon resonances (Sigma (1385)(+/-), Xi (1530)(0)) has been measured at mid-rapidity (vertical bar y vertical bar < 0.5) in proton-proton collisions at root s = 7 TeV with the ALICE detector at the LHC. Transverse momentum spectra for inelastic collisions are compared to QCD-inspired models, which in general underpredict the data. A search for the phi (1860) pentaquark, decaying in the Xi pi channel, has been carried out but no evidence is seen.

147 citations

Journal ArticleDOI
TL;DR: Various recent developments in the area of nonlinear state estimators from a Bayesian perspective are reviewed, including the constrained state estimation, the handling of multi-rate and delayed measurements and recent advances in model parameter estimation.

147 citations


Authors

Showing all 17055 results

NameH-indexPapersCitations
Jovan Milosevic1521433106802
C. N. R. Rao133164686718
Robert R. Edelman11960549475
Claude Andre Pruneau11461045500
Sanjeev Kumar113132554386
Basanta Kumar Nandi11257243331
Shaji Kumar111126553237
Josep M. Guerrero110119760890
R. Varma10949741970
Vijay P. Singh106169955831
Vinayak P. Dravid10381743612
Swagata Mukherjee101104846234
Anil Kumar99212464825
Dhiman Chakraborty9652944459
Michael D. Ward9582336892
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023175
2022433
20213,013
20203,093
20192,760
20182,549