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Institution

Shiv Nadar University

EducationDadri, Uttar Pradesh, India
About: Shiv Nadar University is a education organization based out in Dadri, Uttar Pradesh, India. It is known for research contribution in the topics: Population & Graphene. The organization has 1015 authors who have published 1924 publications receiving 18420 citations.


Papers
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Journal ArticleDOI
TL;DR: This article explored if parental education is an appropriate criterion for affirmative action and found that parental education as a determinant of participation in higher education not only transcends the impact of caste, religious, and economic status, but it is also very attractive for the ease of implementation.

12 citations

Journal ArticleDOI
TL;DR: In this paper, the authors demonstrate the strong influence of valence electron concentration (VEC) on the local atomic structure and electronic properties of Mo6S9-xIx (x = 0-9) nanowires (NWs).
Abstract: Using ab initio calculations, we demonstrate the strong influence of valence electron concentration (VEC) on the local atomic structure and electronic properties of Mo6S9–xIx (x = 0–9) nanowires (NWs). We find new atomic models of the NWs with unique decoration of S/I atoms that are more stable than reported earlier. The electronic and mechanical properties of these NWs are in good agreement with experiments. Further we tuned VEC by either varying the number of I atoms or adding S/Li atoms to obtain semiconducting Mo6S3I6, Mo6S2I8, Li6Mo6S9, and Li3Mo6S6I3 NWs, all of which have VEC of 24 and isolated Mo6 octahedral units, as observed in bulk cluster compounds. These results suggest that VEC is the thumb rule to design and tune the atomic structure and electronic properties of Mo–S–I cluster based nanostructures.

12 citations

Proceedings ArticleDOI
01 Feb 2018
TL;DR: It is demonstrated that temporal correlation of pollutant concentration can be exploited to select optimum sampling period of an energy-intensive sensor to reduce sensing energy consumption without losing much information.
Abstract: Air pollution monitoring systems with energy-intensive sensors cannot afford to sample frequently in order to maximize time between successive recharges. In this paper, we propose an energy-efficient machine learning based sensor duty-cycling method for a sensor hub receiving data from the air-pollution sensors. In particular, we demonstrate that temporal correlation of pollutant concentration can be exploited to select optimum sampling period of an energy-intensive sensor to reduce sensing energy consumption without losing much information. Support Vector Regression is used to predict the missing samples during the period sensor is turned off.

12 citations

Journal ArticleDOI
16 Feb 2021
TL;DR: In this paper, a representative withanolide having toxicophores or structural alerts that are commonly associated with adverse drug reactions was found to form non-labile adducts with the nucleosides dG, dA, and dC.
Abstract: Withania somnifera, commonly known as Ashwagandha, is a medicinal plant used for thousands of years for various remedies. Extracts of Ashwagandha contain more than 200 metabolites, with withanone (win) being one of the major ones responsible for many of its medicinal properties. Recently, several cases of liver toxicity resulting from commercially available Ashwagandha products have been reported. The first report of Ashwagandha-related liver damage was from Japan, which was quickly resolved after drug-withdrawal. Later, similar cases of liver toxicity due to Ashwagandha consumption were reported from the USA and Iceland. Towards understanding the liver toxicity of Ashwagandha extracts, we studied win, a representative withanolide having toxicophores or structural alerts that are commonly associated with adverse drug reactions. We found that win can form non-labile adducts with the nucleosides dG, dA, and dC. Using various biochemical assays, we showed that win forms adducts in DNA and interfere with its biological property. Win also forms adducts with amines and this process is reversible. Based on the data presented here we concluded that win is detoxified by GSH but under limiting GSH levels it can cause DNA damage. The work presented here provides a potential mechanism for the reported Ashwagandha-mediated liver damage.

12 citations

Journal ArticleDOI
TL;DR: In this paper, the authors show that the dynamical phase transition in nearest-neighbor bipartite entanglement of time-evolved states of the anisotropic infinite quantum XY spin chain, in a transverse time-dependent magnetic field, can be quantitatively characterized by the dynamics of an information-theoretic quantum correlation measure, namely, quantum work-deficit (QWD).

12 citations


Authors

Showing all 1055 results

NameH-indexPapersCitations
Dinesh Mohan7928335775
Vijay Kumar Thakur7437517719
Robert A. Taylor6257215877
Himanshu Pathak5625911203
Gurmit Singh542708565
Vijay Kumar5177310852
Dimitris G. Kaskaoutis431355248
Ken Haenen392886296
Vikas Dudeja391434733
P. K. Giri381584528
Swadesh M Mahajan382555389
Rohini Garg37884388
Rajendra Bhatia361549275
Rakesh Ganguly352404415
Sonal Singhal341804174
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202256
2021356
2020322
2019227
2018176