Down Regulation of Plasma and Tissue Biomarkers by Homocastasterone

Homocastasterone is a ketosteroid and a member of the brassinosteroid family of plant hormones. Earlier studies with 28-homobrasslinolide, an aldosteroid, had indicated that rat blood and tissue biochemical parameters studied were affected by this compound, resulting in altered homeostasis and cellular phosphorylation status, rendering this plant oxysterol inappropriate for high energy related work activities. The use of the ketosteroid in this study presents evidence for renormalization of elevated plasma lipid content in diabetic rat, antiglycemic potency, increase in liver glycogen and glucose level and diminished ALT and AST enzyme activities. A role for this ketosteroid in rat liver gluconeogenesis and in lipid homeostasis is suggested while the aldo and keto forms regulated glucose homeostasis in the rat. The observed differences in the effects of homobrasslinolide and homocastasterone as exogenous oxysterols on normal and diabetic rat plasma lipid level suggests the possibility of differential influence by endogenous aldo and keto oxycholesterol forms on glucose and lipid homeostasis in mammalian physiology

Hand Vein Pattern Recognition using Natural Image Statistics

Biometrics is the science of identifying a person using physiological or behavioural characteristics. Hand vein pattern is a recent and unique biometric feature which is used for high secure authentication of individuals. The dorsal hand contains dorsal metacarpal veins, dorsal venous network, cephalic vein and basilic vein.  This paper presents an image descriptor which uses statistical structure of natural images. In this work, stack of natural image patches are used as filters and these transform an image into integer labels describing the small-scale appearance of the image. These labels are converted into histogram and it is used for further image analysis. The feature space contains binarized statistical image features. The proposed work is tested on NCUT dataset with state-of-the-art algorithms. The experimental results demonstrate that the proposed work outperforms of the state-of-the-art algorithms with the recognition rate of 99.80 per cent.Defence Science Journal, Vol. 65, No. 2, March 2015, pp.150-158, DOI:http://dx.doi.org/10.14429/dsj.65.731

A Dorsal Hand Vein Recognition-based on Local Gabor Phase Quantization with Whitening Transformation

The hand vein pattern is a biometric feature in which the actual pattern is the shape of the vein network and its characteristics are the vein features. This paper investigates a new approach for dorsal hand vein pattern identification from grey level dorsal hand vein information. In this study Gabor filter quadrature pair is employed to compute locally in a window for every pixel position to extract the phase information. The phases of six frequency coefficients are quantized and it is used to form a descriptor code for the local region. These local descriptors are decorrelated using whitening transformation and a histogram is generated for every pixel which describes the local pattern.  Experiments are evaluated on North China University of Technology  dorsal hand vein image dataset with minimum distance classifier and the results are analyzed for recognition rate, run time and equal error rate. The proposed method gives 100 per cent recognition rate and 1 per cent EER for fusion of both left and right hands.Defence Science Journal, 2014, 64(2), pp. 159-167. DOI: http://dx.doi.org/10.14429/dsj.64.465

HOMOCASTASTERONE: A NOVEL PLANT KETOSTEROID INDUCING HAEMATOLOGICAL CHANGES IN NORMAL AND DIABETIC MALE RAT

Objective: To study the effect of brassinosteroid keto isoform homocastasterone, in diabetic male wistar rat as an antihyperglycemic factor and to evaluate its effects on the hemodynamic parameters in rat blood.Methods: Diabetes was induced in a group (n=6) of rats with a single peritoneal injection of streptozotocin at 60 mg/kg. bw. With a treatment schedule of 15 consecutive days, control (n=6) and diabetic rats received 666µg/kg bw, of homocastasterone. Circulating blood glucose, cell count, cell indices, and MDA level was assessed.Results: Significant reduction (p<0.05) in blood glucose level and increase inRBCs, WBCs, granulocytes, lymphocytes, monocytes and platelets count(p<0.05) along with improved functional indices for HCT, PCV, MCV, MCH, MCHC, MPV, PDW, PCT in homocastasterone treated diabetic group was noted. A significant reduction in RBC-MDA level (p<0.001) in the treated group was noted.Conclusion: It is suggested that brassinosteroid keto isoform homocastasterone exhibits antiglycemic effect in diabetic rat, and improves RBC, WBC, Platelet counts, haemoglobin level, and cell indices, while reducing peroxidative cell damage in RBCs.Â

Power Consumption and Carbon Emission Equivalent for Virtualized Resources – An Analysis: Virtual Machine and Container Analysis for Greener Data Center

The International Energy Agency (IEA) revealed that the worldwide energy-related carbon dioxide (CO2) situation has hit a historic high of 33.1 Giga tonnes (Gt) of CO2. 85% of the rise in emissions was due to China, India, and the United States. The increase in emissions in India was 4.8%, or 105 Mega tonnes (Mt) of CO2, with the increase in emissions being evenly distributed across the transportation and industrial sectors, according to Beloglazov et al (2011). Environmental contamination brought on by carbon emissions is harmful to the environment. As a result, there is an urgent need for the IT sectors to develop effective and efficient technology to eliminate such carbon emissions. The primary focus is on lowering carbon emissions due to widespread awareness of the issue

Combined Heuristic Optimization Techniques for Global Minimization

Abstract This paper presents Combined Heuristic Optimization Techniques of Particle Swarm Optimization (PSO) algorithm with Simulated Annealing (SA). Particle Swarm Optimization is Swarm Intelligence based algorithm to find a solution to an optimization problem in search space. SA is a generic probabilistic metaheuristic for locating the global minimum of a given function in a large search space. In standard PSO the non-oscillatory route can quickly cause a particle to stagnate and also it may prematurely converge on suboptimal solutions that are not even guaranteed to local optimal solution. The proposed system improves the solution by incorporating the working principles of SA to Standard PSO to diversify the particle position. Experiment results are examined with benchmark functions. It demonstrates that the proposed PSO outperforms the standard PS