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Search Results: 1 - 10 of 1033 matches for " Santosh Maurya "
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Determination of ursolic acid and ursolic acid lactone in the leaves of Eucalyptus tereticornis by HPLC
Maurya, Anupam;Srivastava, Santosh Kumar;
Journal of the Brazilian Chemical Society , 2012, DOI: 10.1590/S0103-50532012000300013
Abstract: a simple isocratic hplc method has been developed for the simultaneous quantification of two bioactive triterpenes, ursolic acid and ursolic acid lactone in e. tereticornis leaves. samples were analyzed on rp-18 (4.6 × 250 mm, 5 μm) column with methanol and water acidified to ph 3.5 with tfa (88:12) at 210 nm. the method was validated and applied for the simultaneous quantification of the individual triterpenes in e. tereticornis extract. the calibration curves were linear over a concentration range of 0.05-0.3 mg ml-1 (r = 0.999 and 0.998, respectively). the limits of detection and quantification were 0.190 and 0.644 μg for ursolic acid, and 0.176 and 0.587 μg for ursolic acid lactone, while the percentage recoveries were 97.32 and 96.23% for ursolic acid and ursolic acid lactone, respectively. this is the first report on the hplc method of ursolic acid lactone with high precision and accuracy.
High gender -specific susceptibility to curare- a neuromuscular blocking agent
Santosh K Maurya,Muthu Periasamy,Naresh C Bal
Biological Research , 2013,
Abstract: Curare, a selective skeletal muscle relaxant, has been used clinically to reduce shivering and as an anesthetic auxiliary in abdominal surgery. It is also widely used in animal experiments to block neuromuscular junction activity. Effective doses of curare diminish muscle contraction without affecting brain function, but at higher doses it is known to be lethal. However, the exact dose of curare initiating muscle relaxation vs. lethal effect has not been fully characterized in mice. In this study we carefully examined the dose-response for achieving muscle inactivity over lethality in both male and female mice (C57BL6/J). The most striking finding of this study is that female mice were highly susceptible to curare; both the EDm and LDm were at least 3-fold lower than male littermates. This study shows that gender-specific differences can be an important factor when administering skeletal muscle relaxants, particularly curare or other analogous agents targeted to the neuromuscular junction.
Kumar Sarvesh,Palbag Satadru,Maurya Santosh Kumar,Kumar Dileep
International Research Journal of Pharmacy , 2013, DOI: 10.7897/2230-8407.04301
Abstract: Ayurvedic cosmeceuticals dates back to the Indus valley civilization and is being used in human society from ancient time. It is now gaining importance in the beautification and to cure the skin ailments. In last 3-4 decades the use of cosmetics has increased exponentially not only among female but also in male population and play an important role in the FMCG sector. In the ancient classical texts of Ayurveda there are several references of numerous medicinal plants and mode of applications of their processed formulation for enhancing complexion, treating acne, treating dark patches, curing boils and carbuncles, etc. Consideration in this field can be helpful in making the herbs more acceptable, precious, life saving and economy promoter for the mankind. This review made a humble effort to make a monograph of ayurvedic plants that were mentioned by ayurvedic luminaries in the field of skincare.
Investigation of Probability Generating Function in an Interdependent M/M/1:(∞; GD) Queueing Model with Controllable Arrival Rates Using Rouche’s Theorem  [PDF]
Vishwa Nath Maurya
Open Journal of Optimization (OJOp) , 2012, DOI: 10.4236/ojop.2012.12006
Abstract: Present paper deals a M/M/1:(∞; GD) queueing model with interdependent controllable arrival and service rates where- in customers arrive in the system according to poisson distribution with two different arrivals rates-slower and faster as per controllable arrival policy. Keeping in view the general trend of interdependent arrival and service processes, it is presumed that random variables of arrival and service processes follow a bivariate poisson distribution and the server provides his services under general discipline of service rule in an infinitely large waiting space. In this paper, our central attention is to explore the probability generating functions using Rouche’s theorem in both cases of slower and faster arrival rates of the queueing model taken into consideration; which may be helpful for mathematicians and researchers for establishing significant performance measures of the model. Moreover, for the purpose of high-lighting the application aspect of our investigated result, very recently Maurya [1] has derived successfully the expected busy periods of the server in both cases of slower and faster arrival rates, which have also been presented by the end of this paper.


Gold Nanorod, an Optical Probe to Track HIV Infection  [PDF]
Santosh Kumar
Journal of Sensor Technology (JST) , 2012, DOI: 10.4236/jst.2012.21006
Abstract: Infectious diseases caused by the human immunodeficiency virus (HIV) remain the leading killers of human beings worldwide, and function to destabilize societies in Africa, Asia and the Middle East. Driven by the need to detect the presence of HIV viral sequence, here we demonstrate that the second order nonlinear optical (NLO) properties of gold nanorods can be used for screening HIV-1 viral DNA sequence without any modification, with good sensitivity (100 pico-molar) and selectivity (single base pair mismatch). The hyper Rayleigh Scattering (HRS) intensity increases 58 times when label-free 145-mer, ss-gag gene DNA, was hybridized with 100 pM target DNA. The mechanism of HRS intensity change has been discussed with experimental evidence for higher multipolar contribution to the NLO response of gold nanorods.
Exercise Protects against Diet-Induced Insulin Resistance through Downregulation of Protein Kinase Cβ in Mice
Xiaoquan Rao, Jixin Zhong, Xiaohua Xu, Brianna Jordan, Santosh Maurya, Zachary Braunstein, Tse-Yao Wang, Wei Huang, Sudha Aggarwal, Muthu Periasamy, Sanjay Rajagopalan, Kamal Mehta, Qinghua Sun
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0081364
Abstract: Physical exercise is an important and effective therapy for diabetes. However, its underlying mechanism is not fully understood. Protein kinase Cβ (PKCβ) has been suggested to be involved in the pathogenesis of obesity and insulin resistance, but the role of PKCβ in exercise-induced improvements in insulin resistance is completely unknown. In this study, we evaluated the involvement of PKCβ in exercise-attenuated insulin resistance in high-fat diet (HFD)-fed mice. PKCβ-/- and wild-type mice were fed a HFD with or without exercise training. PKC protein expression, body and tissue weight change, glucose and insulin tolerance, metabolic rate, mitochondria size and number, adipose inflammation, and AKT activation were determined to evaluate insulin sensitivity and metabolic changes after intervention. PKCβ expression decreased in both skeletal muscle and liver tissue after exercise. Exercise and PKCβ deficiency can alleviate HFD-induced insulin resistance, as evidenced by improved insulin tolerance. In addition, fat accumulation and mitochondrial dysfunction induced by HFD were also ameliorated by both exercise and PKCβ deficiency. On the other hand, exercise had little effect on PKCβ-/- mice. Further, our data indicated improved activation of AKT, the downstream signal molecule of insulin, in skeletal muscle and liver of exercised mice, whereas PKCβ deficiency blunted the difference between sedentary and exercised mice. These results suggest that downregulation of PKCβ contributes to exercise-induced improvement of insulin resistance in HFD-fed mice.
Ramu Maurya
International Journal of Economics and Research , 2011,
Abstract: Microfinance is seen to be a remedy of poverty eradication and globally it is perceived that microfinance can remove the problem of poverty. Basically microfinance works on joint liability model. Traditional theories of credit lending say that rural credit markets are imperfectly competitive and acquiring information about borrowers type that is who is risky and who is safe is not costless. This market imperfection leads to high interest rate and drives out safe borrower from the credit market. In economic literature this problem is considered as adverse selection problem. Joint liability model try to solve the problem of adverse selection through group lending.This paper explores the idea of joint liability model and tries to solve the problem of adverse selection through the positive assortative matching. Paper concludes that in positive assortative matching, the payoffs of borrowers would be more than the payoffs of negative assortative matching. Paper, also try to show that self financing can bring down the interest rate and size of penalty and improve the borrower’s expected payoffs
Spatial Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams
Abhinav Maurya
Computer Science , 2015,
Abstract: Many methods have been proposed for detecting emerging events in text streams using topic modeling. However, these methods have shortcomings that make them unsuitable for rapid detection of locally emerging events on massive text streams. We describe Spatially Compact Semantic Scan (SCSS) that has been developed specifically to overcome the shortcomings of current methods in detecting new spatially compact events in text streams. SCSS employs alternating optimization between using semantic scan to estimate contrastive foreground topics in documents, and discovering spatial neighborhoods with high occurrence of documents containing the foreground topics. We evaluate our method on Emergency Department chief complaints dataset (ED dataset) to verify the effectiveness of our method in detecting real-world disease outbreaks from free-text ED chief complaint data.
A Well Conditioned and Sparse Estimate of Covariance and Inverse Covariance Matrix Using a Joint Penalty
Ashwini Maurya
Statistics , 2014,
Abstract: We develop a method for estimating a well conditioned and sparse covariance matrix from a sample of vectors drawn from a sub-gaussian distribution in high dimensional setting. The proposed estimator is obtained by minimizing the squared loss function and joint penalty of $\ell_1$ norm and sum of squared deviation of the eigenvalues from a positive constant. The joint penalty plays two important roles: i) $\ell_1$ penalty on each entry of covariance matrix reduces the effective number of parameters and consequently the estimate is sparse and ii) the sum of squared deviations penalty on the eigenvalues controls the over-dispersion in the eigenvalues of sample covariance matrix. In contrast to some of the existing methods of covariance matrix estimation, where often the interest is to estimate a sparse matrix, the proposed method is flexible in estimating both a sparse and well-conditioned covariance matrix simultaneously. We also extend the method to inverse covariance matrix estimation and establish the consistency of the proposed estimators in both Frobenius and Operator norm. The proposed algorithm of covariance and inverse covariance matrix estimation is very fast, efficient and easily scalable to large scale data analysis problems. The simulation studies for varying sample size and number of variables shows that the proposed estimator performs better than graphical lasso, PDSCE estimates for various choices of structured covariance and inverse covariance matrices. We also use our proposed estimator for tumor tissues classification using gene expression data and compare its performance with some other classification methods.
Biosynthesis of Zinc Oxide Nanoparticles Using Ixora Coccinea Leaf Extract—A Green Approach  [PDF]
Snehal Yedurkar, Chandra Maurya, Prakash Mahanwar
Open Journal of Synthesis Theory and Applications (OJSTA) , 2016, DOI: 10.4236/ojsta.2016.51001
Abstract: Green synthesis of metal oxide nanoparticles using plant extract is a promising alternative to traditional method of chemical synthesis. In this paper, we report the synthesis of nanostructured zinc oxide particles by biological method. Highly stable and spherical zinc oxide nanoparticles are produced by using zinc acetate and Ixora coccinea leaf extract. Formation of zinc oxide nanoparticles has been confirmed by UV-Vis absorption spectroscopy, X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), Dynamic light scattering analysis (DLS), zetapotential study and Scanning Electron Microscope with the Energy Dispersive X-ray studies (EDX). Dynamic light scattering analysis shows average particle size of 145.1 nm whereas high zeta potential value confirms the stability of formed zinc oxide nanoparticles. The Scanning Electron Microscope reveals spherical morphology of nanoparticles and Energy Dispersive X-ray analysis confirms the formation of highly pure zinc oxide nanoparticles. The zinc oxide nanoparticles from Ixora coccinea leaves are expected to have applications in biomedical, cosmetic industries, biotechnology, sensors, medical, catalysis, optical device, coatings, drug delivery and water remediation, and also may be applied for electronic and magneto-electric devices. This new eco-friendly approach of synthesis is a novel, cheap, and convenient technique suitable for large scale commercial production.
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