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: This work demonstrates the usefulness of the approach by proving that the fidelity-based geometric measure of coherence is a full convex coherence monotone, and deriving a closed formula for it on arbitrary single-qubit states.
Abstract: Quantum coherence is an essential ingredient in quantum information processing and plays a central role in emergent fields such as nanoscale thermodynamics and quantum biology. However, our understanding and quantitative characterization of coherence as an operational resource are still very limited. Here we show that any degree of coherence with respect to some reference basis can be converted to entanglement via incoherent operations. This finding allows us to define a novel general class of measures of coherence for a quantum system of arbitrary dimension, in terms of the maximum bipartite entanglement that can be generated via incoherent operations applied to the system and an incoherent ancilla. The resulting measures are proven to be valid coherence monotones satisfying all the requirements dictated by the resource theory of quantum coherence. We demonstrate the usefulness of our approach by proving that the fidelity-based geometric measure of coherence is a full convex coherence monotone, and deriving a closed formula for it on arbitrary single-qubit states. Our work provides a clear quantitative and operational connection between coherence and entanglement, two landmark manifestations of quantum theory and both key enablers for quantum technologies.
753 citations
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TL;DR: The applications of clustering in some fields like image segmentation, object and character recognition and data mining are highlighted and the approaches used in these methods are discussed with their respective states of art and applicability.
745 citations
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Institute for Health Metrics and Evaluation1, Iran University of Medical Sciences2, American University of Beirut3, King Abdulaziz Medical City4, King Saud bin Abdulaziz University for Health Sciences5, University of Oregon6, Public Health Foundation of India7, International Planned Parenthood Federation8, Aga Khan University9, Institute of Education10, University of Washington11, National Drug and Alcohol Research Centre12, Kunming Medical University13, College of Health Sciences, Bahrain14, Harvard University15, University of Melbourne16, University of Balamand17, Monash University18, Jawaharlal Nehru University19, Columbia University20, Alfaisal University21, National Institutes of Health22, University of London23, International Center for Research on Women24, Centre for Mental Health25, Royal Children's Hospital26, University College London27
TL;DR: The past, present, and anticipated burden of disease in young people aged 10-24 years from 1990 to 2013 is reported using data on mortality, disability, injuries, and health risk factors.
705 citations
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TL;DR: In this article, the authors examined the relationship between financial inclusion and development by empirically identifying country specific factors that are associated with the level of financial inclusion, and found that levels of human development and financial inclusion in a country move closely with each other.
Abstract: An important question raised in the literature is whether development leads to an all-inclusive financial system. This paper attempts to examine the relationship between financial inclusion and development by empirically identifying country specific factors that are associated with the level of financial inclusion. It finds that levels of human development and financial inclusion in a country move closely with each other. Among socio-economic and infrastructure related factors, income, inequality, literacy, urbanisation and physical infrastructure for connectivity and information are important. Health of the banking sector does not seem to have an unambiguous effect on financial inclusion whereas ownership pattern does seem to matter. Copyright © 2010 John Wiley & Sons, Ltd.
663 citations
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TL;DR: Rat liver microsomes were irradiated with gamma-rays at a dose rate of 1.31 Gys-1.31 and calmodulin antagonists considerably inhibited radiation-induced lipid peroxidation in the presence of ferric (Fe3+) ions, which decreased the cytochrome P-450 content of microsome.
Abstract: Rat liver microsomes were irradiated with gamma-rays at a dose rate of 1.31 Gys-1. The extent of lipid peroxidation, measured in terms of malondialdehyde (MDA) formed, increased with radiation dose. The presence of calmodulin antagonists during irradiation decreased lipid peroxidation. The order of their protective efficiency was: chlorpromazine (CPZ) greater than promethazine (PMZ) greater than trimeprazine (TMZ). Their protective effect was diminished in the presence of ferrous (Fe2+) ions and was restored on addition of EDTA. However, calmodulin antagonists considerably inhibited radiation-induced lipid peroxidation in the presence of ferric (Fe3+) ions. Calmodulin antagonists also decreased the cytochrome P-450 content of microsomes. These results are discussed with respect to their applicability to radiotherapy. A possible mechanism for the inhibition of radiation-induced lipid peroxidation is suggested.
649 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 |