Institution
Shiv Nadar University
Education•Dadri, 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.
Topics: Population, Graphene, Plasmodium falciparum, Chemistry, Computer science
Papers published on a yearly basis
Papers
More filters
••
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
••
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
••
01 Feb 2018TL;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
••
16 Feb 2021TL;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
••
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
Name | H-index | Papers | Citations |
---|---|---|---|
Dinesh Mohan | 79 | 283 | 35775 |
Vijay Kumar Thakur | 74 | 375 | 17719 |
Robert A. Taylor | 62 | 572 | 15877 |
Himanshu Pathak | 56 | 259 | 11203 |
Gurmit Singh | 54 | 270 | 8565 |
Vijay Kumar | 51 | 773 | 10852 |
Dimitris G. Kaskaoutis | 43 | 135 | 5248 |
Ken Haenen | 39 | 288 | 6296 |
Vikas Dudeja | 39 | 143 | 4733 |
P. K. Giri | 38 | 158 | 4528 |
Swadesh M Mahajan | 38 | 255 | 5389 |
Rohini Garg | 37 | 88 | 4388 |
Rajendra Bhatia | 36 | 154 | 9275 |
Rakesh Ganguly | 35 | 240 | 4415 |
Sonal Singhal | 34 | 180 | 4174 |