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Institution

Indian Institute of Technology Bhubaneswar

EducationBhubaneswar, India
About: Indian Institute of Technology Bhubaneswar is a education organization based out in Bhubaneswar, India. It is known for research contribution in the topics: Large Hadron Collider & Computer science. The organization has 1185 authors who have published 3132 publications receiving 48832 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, three zirconia alumina composite coatings, without CNT reinforcement, and with 1%CNT, 3% CNT, and 3% reinforcement were deposited using identical process parameters (500 A and 66 V).

43 citations

Journal ArticleDOI
TL;DR: Phpy bridged homodinuclear Ru-Ru and heterod inuclear Ir-Ru complexes have been developed and induces autophagy towards the cisplatin resistant human breast cancer (MCF7) cell line, whereas is inactive.
Abstract: Phpy bridged homodinuclear Ru–Ru (1) and heterodinuclear Ir–Ru complexes (2) have been developed. Complex 2 induces autophagy towards the cisplatin resistant human breast cancer (MCF7) cell line, whereas 1 is inactive.

42 citations

Journal ArticleDOI
TL;DR: In this paper, a new technique for islanding detection in distributed generation (DG) using time-frequency transform such as S -transform is presented, where the spectral energy index (ratio of spectral energy content of the voltage to current signals) is computed to track the islanding situation from non-islanding conditions from sudden load change, tripping of other DG, etc.
Abstract: This study presents a new technique for islanding detection in distributed generation (DG) using time-frequency transform such as S -transform. S -transform is an invertible time-frequency spectral localisation technique that provides the time-frequency contours of the voltage and current signals retrieved at the target DG location. The energy index (ratio of the spectral energy content of the voltage to current signals) is computed to track the islanding situation from non-islanding conditions such as sudden load change, tripping of other DG, etc. Further, to aid the islanding detection scheme, a cumulative sum detector is also computed based on the spectral energy content of the negative sequence components of the current and voltage signals. The results, based on extensive study, indicate that the proposed technique can reliably detect islanding in DGs connected to power distribution network.

42 citations

Journal ArticleDOI
TL;DR: In this paper, the authors assess a particulate pollutant event that coincided with the festival of Diwali in 2016 using multiple parameters related to particulate pollution from the ground and satellite based measurements in relation to the observed climatology during the period of 2000 to 2016.
Abstract: Air pollution over the megacity New Delhi has gained significant attention in recent times. Local pollution, along with advection from upwind sources, long-range transport and festivities (e.g., Diwali) contributing large emissions from firecrackers, has led to high loading conditions over the city. In this study, we assess a particulate pollutant event that coincided with the festival of Diwali in 2016 using multiple parameters related to particulate pollution from the ground and satellite based measurements in relation to the observed climatology during the period of 2000 to 2016. Our analysis reveals that the episode of severe air pollution in 2016 was exacerbated by the long-range transport of absorbing fine aerosols emanating from biomass/stubble burning in the adjacent states to the northwest of National Capital Territory (NCT) of India. Based on concentration weighted trajectory (CWT) analysis using the PM2.5 mass concentration and AOD, the high loading conditions were related to trajectories that passed through the northwest of NCT. The period after Diwali in 2016 also coincided with air masses traversing large biomass burning areas. The long-term changes in the fire counts indicate that these events have been increasing at an alarming rate of ~25% per year since 2000, creating the potential for high particulate pollution over downwind cities such as Delhi.

42 citations

Journal ArticleDOI
TL;DR: In this paper, neutral oxidovanadium(V) complexes were characterized by various spectroscopic (IR, UV-Vis, NMR and ESI-MS) and single crystal X-ray diffraction techniques.
Abstract: Four neutral oxidovanadium(V) complexes VO2L1 (1), VO2L2 (2), VOL3(OEt) (3) and VOL4(OEt)EtOH (4) [where HL1 = 2-thiophenoylhydrazone of 2-acetylpyridine, HL2 = 2-amino benzoylhydrazone of 2-benzoyl pyridine, H2L3 = isonicotinoylhydrazone of 2-hydroxy acetophenone, H2L4 = 2-furoylhydrazone of 2-hydroxy-1-napthaldehyde] with a hydrazone scaffold containing either furan, thiophene and pyridine residues have been synthesised. All complexes were thoroughly characterized by various spectroscopic (IR, UV-Vis, NMR and ESI-MS) and single crystal X-ray diffraction techniques. Crystallography establishes five-coordinate geometries, distorted toward square pyramidal for each of 1 and 2, based on a tridentate-O,N,N coordinating anion and two oxido-O atoms. The dianion in 3 is tetradentate, coordinating one V atom as for 1 and 2, and bridging another via the pyridyl-N atom, and the N2O4 octahedral coordination geometry is completed by oxido- and ethanolate-O atoms. The result of the V–N bridging is a helical coordination polymer. An NO5 octahedral geometry is found in 4 defined by a tridentate-O,N,O anion, as well as oxido-, ethanolate- and ethanol-O atoms. Biological studies reveal that 1–4 have DNA binding propensity and show these to interact with CT-DNA through the minor groove binding mode, with binding constants ranging from 103 to 105 M−1. All complexes show good photo-induced cleavage of pUC19 supercoiled plasmid DNA with 3 showing the highest photo-induced DNA cleavage activity of ∼65%. Additionally, 1–4 are cytotoxic against the human cervical cancer cell line (HeLa) with IC50 values ranging from 10 to 20 μM.

42 citations


Authors

Showing all 1220 results

NameH-indexPapersCitations
Gabor Istvan Veres135134996104
Márton Bartók7662226762
Kulamani Parida7046919139
Seema Bahinipati6552619144
Deepak Kumar Sahoo6243817308
Krishna R. Reddy5840011076
Ramayya Krishnan5219510378
Saroj K. Nayak491498319
Dipak Kumar Sahoo472347293
Ganapati Panda463568888
Raj Kishore451496886
Sukumar Mishra444057905
Mar Barrio Luna431795248
Chandra Sekhar Rout411837736
Subhransu Ranjan Samantaray391674880
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202329
202249
2021521
2020487
2019400
2018372