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Institution

Cochin University of Science and Technology

EducationKochi, Kerala, India
About: Cochin University of Science and Technology is a education organization based out in Kochi, Kerala, India. It is known for research contribution in the topics: Thin film & Natural rubber. The organization has 5382 authors who have published 7690 publications receiving 103827 citations. The organization is also known as: CUSAT & Cochin University.


Papers
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Journal ArticleDOI
TL;DR: In this paper, betweenness centrality is defined as a measure of the influence of a vertex over the flow of information between every pair of vertices under the assumption that information primarily flows over the shortest paths between them.
Abstract: There are several centrality measures that have been introduced and studied for real-world networks. They account for the different vertex characteristics that permit them to be ranked in order of importance in the network. Betweenness centrality is a measure of the influence of a vertex over the flow of information between every pair of vertices under the assumption that information primarily flows over the shortest paths between them. In this paper we present betweenness centrality of some important classes of graphs.

44 citations

Journal ArticleDOI
TL;DR: The results of the study show that MS-222 and benzocaine could be used as sedatives to alleviate transport-related stress in P. filamentosus to improve their post-transport survival and hence reduce economic loss.
Abstract: There is a growing commercial interest in the fish, Puntius filamentosus, in the ornamental fish trade in India and elsewhere. The trade is, however, hampered by severe mortalities during transport of the fish owing to insufficient data available on the use of anaesthetics. To resolve this problem, we evaluated the efficacy of two anaesthetics, MS-222 and benzocaine, in sedating P. filamentosus in simulated transportation experiments and used stress response parameters such as cortisol and blood glucose levels to perform assessments. We observed that MS-222 at 40 mg L−1 and benzocaine at 20 mg L−1 were sufficient to induce sedation for 48 h. Above these concentrations, both the anaesthetics adversely affected the fish and resulted in mortalities. Both anaesthetics significantly lowered the blood cortisol and glucose levels compared with the unsedated controls. Importantly, the anaesthetics treatment significantly lowered the post-transport mortality in the fish. The results of the study show that MS-222 and benzocaine could be used as sedatives to alleviate transport-related stress in P. filamentosus to improve their post-transport survival and hence reduce economic loss.

44 citations

Journal ArticleDOI
TL;DR: In this article, the composites were prepared by solution casting method using FMWCNT coated with polyaniline and the coating was done by in situ and ex-situ polymerization of aniline.
Abstract: Polyaniline (PANI)/functionalised multiwalled carbon nanotube (FMWCNT) based conductive thermoplastic polyurethane (TPU) films were prepared to study their strain sensing property. The composites were prepared by solution casting method using FMWCNT coated with polyaniline. The coating was done by in-situ and ex-situ polymerization of aniline. The composites thus prepared were designated as FMWCNT-PANI/TPU (I) and FMWCNT-PANI/TPU (E), respectively. The electrical resistivity and resistivity – strain behaviour of these composites were measured. The percolation threshold and the strain sensitivity of these films depended on the dispersion of conductive fillers in the polymer matrix. The well-dispersed filler in FMWCNT-PANI/TPU (I) composites resulted in low percolation threshold and improved strain sensitivity. These composites with 2 weight% filler content, showed a gauge factor of 1075 at 100% strain and exhibited high reversibility in resistivity upon elongating to 20%. A coating of PANI on FMWCNT reduced its entanglement and enhanced the interfacial interaction between the nano fillers and TPU, leading to improved strain sensitivity. The experimental data for strain sensing was in good agreement with the theoretical equations derived from a model based on the tunneling theory by Simmons.

44 citations

Journal ArticleDOI
TL;DR: In this article, Mott's temperature, density of states at the Fermi energy (N(EF)), range of hopping (R) and hopping energy (W) for the composites are calculated and presented.
Abstract: Polyaniline and oligomeric cobalt phthalocyanine are blended in different proportions by chemical methods. These blends are characterised by spectroscopic methods and dielectric measurements. Dielectric studies on the conducting polymer blends are carried out in the frequency range of 100 kHz to 5 MHz from room temperature (300 K) to 373 K. Dielectric permittivity and dielectric loss of these blends are explained on the basis of interfacial polarisation. From the dielectric permittivity studies, ac conductivity of the samples were calculated and the results are correlated. In order to understand the exact conduction mechanism of the samples, dc electrical conductivity of the blends is carried out in the temperature range of 70–300 K. By applying Mott’s theory, it is found that the conducting polymer composites obey a 3D variable range hopping mechanism. The values of Mott’s temperature (T0), density of states at the Fermi energy (N(EF)), range of hopping (R) and hopping energy (W) for the composites are calculated and presented. © 2006 Elsevier B.V. All rights reserved.

44 citations

Journal ArticleDOI
TL;DR: In this article, a series of nine new copper(II) complexes [Cu2L2(OAc)2]� H2O( 1), [CuLNCS]� ½H2 O( 2), [CNO3]� CuLNO3], [CNHS]µ, µ, 1.

44 citations


Authors

Showing all 5433 results

NameH-indexPapersCitations
Pulickel M. Ajayan1761223136241
Maxime Dougados134105469979
Sabu Thomas102155451366
Philippe Ravaud10161841409
David P. Salmon9941943935
Jérôme Bertherat8543824794
Luc Mouthon8456426238
Xavier Bertagna7428518738
Alfred Mahr7322922581
Nicolas Roche7262922845
Charles Chapron7137818048
Benoit Terris6123413353
François Goffinet6053214433
Xavier Puéchal6031613240
Pascal Laugier5848210518
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202318
2022106
2021753
2020613
2019503
2018439