Institution
Jawaharlal Nehru University
Education•New Delhi, India•
About: Jawaharlal Nehru University is a education organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Politics. The organization has 6082 authors who have published 13455 publications receiving 245407 citations. The organization is also known as: JNU.
Topics: Population, Politics, Gene, Candida albicans, Computer science
Papers published on a yearly basis
Papers
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TL;DR: Common and cultivar-specific stress-responsive transcripts identified in this study can serve as a helpful resource to explore novel candidate genes for abiotic stress tolerance in rice.
Abstract: Drought and salinity are the major environmental factors that affect rice productivity. Comparative transcriptome analysis between tolerant and sensitive rice cultivars can provide insights into the regulatory mechanisms involved in these stress responses. In this study, the comparison of transcriptomes of a drought-tolerant [Nagina 22 (N22)] and a salinity-tolerant (Pokkali) rice cultivar with IR64 (susceptible cultivar) revealed variable transcriptional responses under control and stress conditions. A total of 801 and 507 transcripts were exclusively differentially expressed in N22 and Pokkali rice cultivars, respectively, under stress conditions. Gene ontology analysis suggested the enrichment of transcripts involved in response to abiotic stress and regulation of gene expression in stress-tolerant rice cultivars. A larger number of transcripts encoding for members of NAC and DBP transcription factor (TF) families in N22 and members of bHLH and C2H2 TF families in Pokkali exhibited differential regulation under desiccation and salinity stresses, respectively. Transcripts encoding for thioredoxin and involved in phenylpropanoid metabolism were up-regulated in N22, whereas transcripts involved in wax and terpenoid metabolism were up-regulated in Pokkali. Overall, common and cultivar-specific stress-responsive transcripts identified in this study can serve as a helpful resource to explore novel candidate genes for abiotic stress tolerance in rice.
154 citations
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TL;DR: In order to identify the major sources of fine and coarse fraction of PM10, principle component analysis (PCA) was undertaken and three major sources were identified, namely vehicular emissions, industrial emission, and soil resuspension.
154 citations
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TL;DR: In this paper, the authors attempted to perform an extensive review on the global context and identify the measures adopted by the consumers of different countries to dispose off their E-waste.
Abstract: E-waste is a complex stream of toxic waste which requires specific handling considerations. Effective and responsible management of E-waste is a global concern today. Considering the depth of the E-waste problem, this paper is an attempt to review two key elements greatly accountable for influencing sustainable E-waste management initiatives: Consumers’ E-waste 1) ‘Disposal Behaviour’ and 2) ‘Awareness’. Taking into account the locale specific characteristics of consumers’ E-waste disposal behaviour and awareness, we have attempted to perform an extensive review on the global context and identify the measures adopted by the consumers of different countries to dispose off their E-waste. We observe significant differences in consumers’ E-waste disposal behaviour not only ‘between’ the developed and developing countries, but also ‘within’ these countries. The paper further especially explains the complexities in India’s E-waste management system due to its multifaceted socio-economic, cultural and other associated connotations influencing consumers’ disposal behaviour and awareness. We conclude that global experiences on consumers’ E-waste disposal behaviour and awareness could be helpful for a particular country to devise inclusive E-waste management strategies to adequately address their current E-waste crisis.
154 citations
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TL;DR: This review discusses the metabolic reprogramming of tumor cells with special focus on lipid metabolism, and addresses the lipid turnover machinery in the tumor cell, especially the lipophagic pathway.
154 citations
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TL;DR: The timing of glaciation in the Lahul Himalaya of northern India was ascertained using the concentrations of cosmogenic 10Be and 26Al from boulders on moraines and drumlins, and from glacially polished bedrock surfaces.
Abstract: The timing of glaciation in the Lahul Himalaya of northern India was ascertained using the concentrations of cosmogenic 10Be and 26Al from boulders on moraines and drumlins, and from glacially polished bedrock surfaces. Five glacial stages were identified: Sonapani I and II, Kulti, Batal and Chandra. Of these, cosmogenic exposure ages were obtained on samples representative of the Batal and Kulti glacial cycles. Stratigraphical relationships indicate that the Sonapani I and II are younger. No age was obtained for the Chandra glacial advance. Batal Glacial Stage deposits are found throughout the valley, indicating the presence of an extensive valley glacial system. During the Kulti Stage, glaciers advanced ca. 10 km beyond their current positions. Moraines produced during the Batal Stage, ca. 12–15.5 ka, are coeval with the Northern Hemisphere Late-glacial Interstadial (Bolling/Allerod). Deglaciation of the Batal Glacial Stage was completed by ca. 12 ka and was followed by the Kulti Glacial Stage during the early Holocene, at ca. 10–11.4 ka. On millennial time-scales, glacier oscillations in the Lahul Himalaya apparently reflect periods of positive mass-balance coincident with times of increased insolation. During these periods the South Asian summer monsoon strengthened and/or extended its influence further north and west, thereby enhancing high-altitude summer snowfall. Copyright © 2001 John Wiley & Sons, Ltd.
153 citations
Authors
Showing all 6255 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ashok Kumar | 151 | 5654 | 164086 |
Rajesh Kumar | 149 | 4439 | 140830 |
Sanjay Gupta | 99 | 902 | 35039 |
Rakesh Kumar | 91 | 1959 | 39017 |
Praveen Kumar | 88 | 1339 | 35718 |
Rajendra Prasad | 86 | 945 | 29526 |
Mukesh K. Jain | 85 | 539 | 27485 |
Shiv Kumar Sarin | 84 | 740 | 28368 |
Gaurav Sharma | 82 | 1244 | 31482 |
Santosh Kumar | 80 | 1196 | 29391 |
Dinesh Mohan | 79 | 283 | 35775 |
Govindjee | 76 | 426 | 21800 |
Dipak K. Das | 75 | 327 | 17708 |
Amit Verma | 70 | 497 | 16162 |
Manoj Kumar | 65 | 408 | 16838 |