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Institution

The Oxford College of Engineering

About: The Oxford College of Engineering is a based out in . It is known for research contribution in the topics: Photonic crystal & Biosensor. The organization has 235 authors who have published 263 publications receiving 933 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, a 2D photonic crystal-based biosensor with line defect was designed to detect glucose concentration in urine, which can detect glucose in normal urine (0-15 mg/dL), urine with 0.625, 1.25, 2.5, 5, and 10 gm/dL in the wavelength range of 1530-1565 nm.
Abstract: In this paper, we have demonstrated and designed a 2D photonic crystal-based biosensor with line defect, which can detect glucose concentration in urine. Simulation and analysis have been done in order to detect glucose concentration in normal urine (0-15 mg/dL), urine with 0.625, 1.25, 2.5, 5, and 10 gm/dL of glucose concentration in the wavelength range of 1530-1565 nm. Finite-difference time-domain method has been used for the analysis. Massachusetts Institute of Technology electromagnetic equation propagation and MIT photonic bands simulation tools have been used for modeling and designing of photonic crystal, and IPKISS software framework has been used for generation of mask design, which can be used for the fabrication of the photonic crystal sensor. It has been observed from the band structure that for little change in refractive index, there will be a moderate shift in the frequency and transmitted output power and hence it acts as a sensor. This indicates that it is highly sensitive for the change in refractive index.

74 citations

Journal ArticleDOI
TL;DR: In this paper, a photonic crystal based ring resonator structure (PCRR) which can sense different bio-constituents in blood in the wavelength range of 1530-1565nm for biomedical applications has been successfully demonstrated.

61 citations

Journal ArticleDOI
TL;DR: The ability to predict surface accessibility of hydrophobic residues directly from the sequence is of great help in choosing the sites of chemical modification or specific mutations and in the studies of protein stability and molecular interactions.
Abstract: The analysis of protein structures provides plenty of information about the factors governing the folding and stability of proteins, the preferred amino acids in the protein environment, the location of the residues in the interior/surface of a protein and so forth. In general, hydrophobic residues such as Val, Leu, Ile, Phe, and Met tend to be buried in the interior and polar side chains exposed to solvent. The present work depends on sequence as well as structural information of the protein and aims to understand nature of hydrophobic residues on the protein surfaces. It is based on the nonredundant data set of 218 monomeric proteins. Solvent accessibility of each protein was determined using NACCESS software and then obtained the homologous sequences to understand how well solvent exposed and buried hydrophobic residues are evolutionarily conserved and assigned the confidence scores to hydrophobic residues to be buried or solvent exposed based on the information obtained from conservation score and knowledge of flanking regions of hydrophobic residues. In the absence of a three-dimensional structure, the ability to predict surface accessibility of hydrophobic residues directly from the sequence is of great help in choosing the sites of chemical modification or specific mutations and in the studies of protein stability and molecular interactions.

56 citations

Journal ArticleDOI
TL;DR: In this proposed work, diversity based self-adaption has been applied to particle swarm optimization to obtain better clusters and this diversity has been achieved with parameters like inertia weight, social and cognition constant.
Abstract: Diversity is the key parameter which plays the important role in defining the exploration capability of natural computing algorithms. Poor convergence is guaranteed, once diversity has lost prematurely. It is also true that there are number of sensitive parameters available with all paradigms of natural computing, whose optimal values drives the quality of solution. In this proposed work, diversity based self-adaption has been applied to particle swarm optimization to obtain better clusters. This diversity has been achieved with parameters like inertia weight, social and cognition constant. The proposed work has been applied over numeric benchmark and cluster data set to validate. Also new algorithm has been applied on crime datasets of Karnataka and Bengaluru to determine similar and different crime characteristics.

39 citations

Journal ArticleDOI
TL;DR: Vitex trifolia could afford significant protection against CCl4 induced hepatocellular injury and is supported by histological studies of liver tissue.
Abstract: Aqueous and ethanol extracts of leaf of Vitex trifolia was investigated for hepatoprotective activity against carbon tetrachloride induced liver damage. To assess the hepatoprotective activity of the extracts, various biochemical parameters viz., total bilirubin, total protein, alanine transaminase, aspartate transaminase and alkaline phosphatase activities were determined. Results of the serum biochemical estimations revealed significant reduction in total bilirubin and serum marker enzymes and increase in total protein in the animals treated with ethanol and aqueous extracts. However significant rise in these serum enzymes and decrease in total protein level was noticed in CCl4 treated group indicating the hepatic damage. The hepatoprotective activity is also supported by histological studies of liver tissue. Histology of the liver tissue treated with ethanol and aqueous extracts showed normal hepatic architecture with few fatty lobules. Hence the present study revealed that Vitex trifolia could afford significant protection against CCl(4) induced hepatocellular injury.

37 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
202142
202021
201916
201832
201732