53 research outputs found
Regression of oxidative stress by targeting eNOS and Nrf2/ARE signaling: a guided drug target for cardiovascular diseases
No full textCardiovascular diseases (CVDs) are the major health concern and the leading cause of death. Imbalance between free radicals and anti-oxidant defence is associated with cellular dysfunctions leading to the pathophysiology of various diseases including cardiac and vascular diseases. The stress responsive transcription factor NF-E2-related factor 2/antioxidant response element (Nrf2/ARE) regulates the expression of many detoxifying genes. Nitric oxide (NO) produced by endothelial nitric oxide synthase (eNOS) is an important regulator of vascular function. Involvement of NO in modulating Nrf2 signaling is well established. Thus, it is apparent that increasing NO bioavailability and antioxidant status in vascular and myocardial tissue can be considered as a potential strategy to prevent the onset of vascular dysfunction and CVDs and is therefore of therapeutical interest. Based on the marked protective effect of Nrf2/ARE signalling and intriguing links between antioxidant mechanism and endothelial derived NO, the aim of the present review is to compile conclusive evidence for the involvement of NO-Nrf2/ARE axis in the regulation of cardiovascular function. This review also discusses on improving eNOS and Nrf2 signalling by Nrf2 activators which holds promise for countering cardiac and vascular disorders
Survey on Identification of Hacker by Trapping Mechanism
No full textAdvanced persistence threat APT attack is to steal data rather than to cause damage to the network or organization. It is one of the initial phases in successful hacking of a system. Here, user's behaviour is analysed based on previous behaviour such as posted data, time of posting, IP address and location of usage of social network. This system includes two processes. The Social network accounts are analysed, tracked and then detected. If the hacker attacks the original user's account, then the system allows the attacker to proceed further until our system captures all the important information about the attacker by directing the hacker to the fake website. The system generates Honeywords based on the user information provided and the original password is converted into another format and stored along with the honeywords. Attacker who knows the E mail account of original user can easily reset the password of the cloud server. When the attacker tries to login into the purchase portal, he she is tracked and allowed to do purchase. Server identifies the attacker and sends an alert message to the owner and blocks the attacker from doing transaction from his original account. C. Ramprasath | J. Varun | Ms S. SriHeera "Survey on Identification of Hacker by Trapping Mechanism" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd10789.pd
Design and Analysis of Single Switch Double Enhanced Boost Converter for PV Applications
No full textThis paper presents a systematic and analytical investigation of the non-isolated Single Switch Double Enhanced Boost Converter topology. In simple words combination of a DEC (Double Enhanced Circuit) With an ordinary boost converter. The proposed converter implements the output voltage increasing in geometric progression but with a simpler structure. There is one switch S, n inductors, (n + 2) capacitors, and (2n + 1) diodes in each circuit of the additional series. They also effectively enhance the voltage transfer gain in the power law. Steady-state equations were derived to examine the behaviour of the proposed converter. The proposed converter was designed for 100 W and simulated in MATLAB/Simulink, the simulation results demonstrate its effectiveness in terms of improved efficiency, reduced voltage stress, and enhanced power delivery to the load
Comparative study Between Mass Closure Suturing Technique and Hughes Repair in Emergency Midline Laparatomies
No full textTopics in statistical finance
No full textThis thesis is divided into three parts. The first part investigates the presence of long term dependence in stock price data via a permutation test based on the correlation structure of the underlying stock prices. These tests reveal the short term nature of stock price dependence structure. The second part extends
Ramprasath and Singh(2007)'s `statistical options' to define a group of American type options based on robust estimators of location. The payoff functions of these path dependent options are based on a new set of stochastic processes which are defined using various robust estimators of location. The asymptotic distributional behavior of these new processes is ascertained which in turn is used in pricing
the options. Markov Chain Monte Carlo (MCMC) methods were used to compute the prices of the statistical options. The third part explores a stock price model parameter estimation problem and interprets a growth rate parameter.Ph.D.Includes bibliographical references (p. 81-83)
Particle swarm and simulated annealing based intuitive search optimization of flexural behaviors in bioparticles impregnated coir fiber–vinyl ester composites
No full textOptimization of impact behavior of bio particulated coir-vinyl ester composites using simulated annealing with post analysis
No full text380-385<span style="font-size:9.0pt;mso-bidi-font-size:
12.0pt;mso-bidi-font-family:" times="" new="" roman""="" lang="EN-GB">The present investigation is
focused on evaluation and optimization of impact behavior of bio particulated
coir-vinyl ester composites. The bio particles such as groundnut
shell, alumina and termite mound soil have been selected and their
influences on the impact behavior of coir -vinyl ester composites are
evaluated. The bio particulated composite fabrications are planned as per full
factorial design with the different levels of fibre length, fibre content and
particulate content.
The impact strength of fabricated composites is evaluated. The nonlinear
regression models are developed for the prediction of impact behaviors over the
specified range of conditions. The fabrication parameters for the maximum value
of impact behaviors are also determined using simulated annealing algorithm and
conformance checking is carried out using post analysis. The optimum values of
impact behaviors of 39.5, 45.9 and 52.1 kJ/m2 are obtained in
coir-vinyl ester composites reinforced with groundnut shell, alumina and
termite mound soil respectively.
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