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Search Results: 1 - 10 of 223799 matches for " Maheswara R. Duvvari "
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Analysis of Rare Variants in the C3 Gene in Patients with Age-Related Macular Degeneration
Maheswara R. Duvvari, Codrut C. Paun, Gabri?lle H. S. Buitendijk, Nicole T. M. Saksens, Elena B. Volokhina, Tina Ristau, Frederieke E. Schoenmaker-Koller, Johannes P. H. van de Ven, Joannes M. M. Groenewoud, Lambertus P. W. J. van den Heuvel, Albert Hofman, Sascha Fauser, André G. Uitterlinden, Caroline C. W. Klaver, Carel B. Hoyng, Eiko K. de Jong, Anneke I. den Hollander
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0094165
Abstract: Age-related macular degeneration (AMD) is a progressive retinal disorder affecting over 33 million people worldwide. Genome-wide association studies (GWASs) for AMD identified common variants at 19 loci accounting for 15–65% of the heritability and it has been hypothesized that the missing heritability may be attributed to rare variants with large effect sizes. Common variants in the complement component 3 (C3) gene have been associated with AMD and recently a rare C3 variant (Lys155Gln) was identified which exerts a large effect on AMD susceptibility independent of the common variants. To explore whether additional rare variants in the C3 gene are associated with AMD, we sequenced all coding exons in 84 unrelated AMD cases. Subsequently, we genotyped all identified variants in 1474 AMD cases and 2258 controls. Additionally, because of the known genetic overlap between AMD and atypical hemolytic uremic syndrome (aHUS), we genotyped two recurrent aHUS-associated C3 mutations in the entire cohort. Overall, we identified three rare variants (Lys65Gln (P = 0.04), Arg735Trp (OR = 17.4, 95% CI = 2.2–136; P = 0.0003), and Ser1619Arg (OR = 5.2, 95% CI = 1.0–25; P = 0.05) at the C3 locus that are associated with AMD in our EUGENDA cohort. However, the Arg735Trp and Ser1619Arg variants were not found to be associated with AMD in the Rotterdam Study. The Lys65Gln variant was only identified in patients from Nijmegen, the Netherlands, and thus may represent a region-specific AMD risk variant.
EVALUATION OF HEPATOPROTECTIVE ACTIVITY OF CAPPARIS SEPIARIA LEAVES
R. Thirumalaikumaran,Uma Maheswara Reddy
International Journal of Biomedical Research , 2011, DOI: 10.7439/ijbr.v2i3.93
Abstract: The effect of the ethanolic extract of the leaves of capparis sepiaria Linn was studied against carbon tetrachloride induced hepatotoxicity in Wister rats. Significant hepatoprotective effects were obtained liver damage induced by carbon tetrachloride as evident from decreased serum levels of glutamate pyruvate transaminase (SGPT),glutamate oxaloacetate transaminase (SGOT), alkaline phosphatase (SAKP) and bilirubin (SB) in the capparis sepiaria (CS) treated groups (100,200 mg/kg), compared to the intoxicated controls. The hepatoprotective effect was further confirmed by histopathalogical studies of the liver, which showed improved architecture, absence of nuclear pycnosis, hepatocyte congestion and necrosis, when compared with the liver of the toxin group of animals. capparis sepiaria (CS) extract also showed significant free radical scavenging activity in vitro. Thus the present study provides a scientific rationale for the traditional use of this plant in the management of liver disorders.
EVALUATION OF HEPATOPROTECTIVE ACTIVITY OF CAPPARIS SEPIARIA LEAVES
R. Thirumalaikumaran,Uma Maheswara Reddy
International Journal of Biomedical Research , 2013, DOI: 10.7439/ijbr.v2i3.93
Abstract: The effect of the ethanolic extract of the leaves of capparis sepiaria Linn was studied against carbon tetrachloride induced hepatotoxicity in Wister rats. Significant hepatoprotective effects were obtained liver damage induced by carbon tetrachloride as evident from decreased serum levels of glutamate pyruvate transaminase (SGPT),glutamate oxaloacetate transaminase (SGOT), alkaline phosphatase (SAKP) and bilirubin (SB) in the capparis sepiaria (CS) treated groups (100,200 mg/kg), compared to the intoxicated controls. The hepatoprotective effect was further confirmed by histopathalogical studies of the liver, which showed improved architecture, absence of nuclear pycnosis, hepatocyte congestion and necrosis, when compared with the liver of the toxin group of animals. capparis sepiaria (CS) extract also showed significant free radical scavenging activity in vitro. Thus the present study provides a scientific rationale for the traditional use of this plant in the management of liver disorders.
An Intelligent Optimal Genetic Model to Investigate the User Usage Behaviour on World Wide Web
V.V.R. Maheswara Rao,V. Valli Kumari
International Journal of Data Mining & Knowledge Management Process , 2013,
Abstract: The unexpected wide spread use of WWW and dynamically increasing nature of the web creates new challenges in the web mining since the data in the web inherently unlabelled, incomplete, non linear, and heterogeneous. The investigation of user usage behaviour on WWW is real time problem which involves multiple conflicting measures of performance. These measures make not only computational intensive butalso needs to the possibility of be unable to find the exact solution. Unfortunately, the conventional methods are limited to optimization problems due to the absence of semantic certainty and presence of human intervention. In handling such data and overcome the limitations of conventional methodologies it is necessary to use a soft computing model that can work intelligently to attain optimal solution. To achieve the optimized solution for investigating the web user usage behaviour, the authors in the present paper proposes an Intelligent Optimal Genetic Model, IOGM, which is designed as an optimization tool based on the concept of natural genetic systems. Initially, IOGM comprise a set of individual solutions or chromosomes called the initial population. Later, biologically inspired operators create a new and potentially better population. Finally, by the theory of evolution, survive only optimal individuals from the population and then generate the next biological population. This process is terminated as when an acceptable optimal set of visited patterns is found or after fixed time limit. Additionally, IOGM strengthen by its ability to estimate the optimal stopping time of process. The proposed soft computing model ensures the identifiable features like learning, adaptability, self-maintenance and self-improvement. To validate the proposed system, several experiments were conducted and results proven this are claimed in this paper
Rapid, Efficient and High-Performance Protocol for Agrobacterium rhizogenes-Mediated Hairy Root Transformation of the Common Bean Phaseolus vulgaris  [PDF]
Sanghamitra Khandual, Pallavolu Maheswara Reddy
Advances in Bioscience and Biotechnology (ABB) , 2014, DOI: 10.4236/abb.2014.54041
Abstract:

A rapid, efficient and high-performance transformation protocol employing Agrobacterium rhizogenes was developed for the common bean Phaseolus vulgaris. In this study, we examined competencies of various protocols to induce and explants that respond to hairy root transformation in bean plants. Utilizing young seedlings with severed radicles/hypocotyls, we developed a highly efficient procedure for achieving hairy root transformation frequencies as high as 100% as visualized by GUS reporter gene expression system. Transgenic hairy roots in these young composite plants were susceptible to nodulation by rhizobia, and form an excellent system for high throughput genomic analysis to study root biology and endosymbiosis in common bean.

Bianchi Type-II, VIII & IX Perfect Fluid Cosmological Models in Brans Dicke Theory of Gravitation  [PDF]
Velagapudi Uma Maheswara Rao, Mandangi Vijaya Santhi
Journal of Modern Physics (JMP) , 2011, DOI: 10.4236/jmp.2011.210151
Abstract: Field equations in the presence of perfect fluid distribution are obtained in a scalar tensor theory of gravitation proposed by Brans and Dicke[1] with the aid of Bianchi type-II, VIII & IX metrics. Exact prefect fluid Bianchi type- IX cosmological model is presented since other models doesn’t exist in Brans-Dicke scalar tensor theory of gravitation. Some physical properties of the model are also discussed.
Blind Signature Scheme Based on Chebyshev Polynomials
Maheswara Rao Valluri
International Journal of Network Security & Its Applications , 2011,
Abstract: A blind signature scheme is a cryptographic protocol to obtain a valid signature for a message from a signer such that signer’s view of the protocol can’t be linked to the resulting message signature pair. This paper presents blind signature scheme using Chebyshev polynomials. The security of the given scheme depends upon the intractability of the integer factorization problem and discrete logarithms ofChebyshev polynomials.
Authentication Schemes Using Polynomials Over Non-Commutative Rings
Maheswara Rao Valluri
Computer Science , 2013, DOI: 10.5121/ijcis.2012.2406
Abstract: Authentication is a process by which an entity,which could be a person or intended computer,establishes its identity to another entity.In private and public computer networks including the Internet,authentication is commonly done through the use of logon passwords. Knowledge of the password is assumed to guarantee that the user is authentic.Internet business and many other transactions require a more stringent authentication process. The aim of this paper is to propose two authentication schemes based on general non-commutative rings. The key idea of the schemes is that for a given non-commutative ring; one can build polynomials on additive structure and takes them as underlying work structure. By doing so, one can implement authentication schemes, one of them being zero-knowledge interactive proofs of knowledge, on multiplicative structure of the ring. The security of the schemes is based on the intractability of the polynomial symmetrical decomposition problem over the given non-commutative ring.
A Plausible Comprehensive Web Intelligent System for Investigation of Web User Behaviour Adaptable to Incremental Mining
V.V.R. Maheswara Rao,V. Valli Kumari,K.V.S.V.N. Raju
International Journal of Database Management Systems , 2010,
Abstract: With the continued increase in the usage of the World Wide Web (WWW) Web mining has beenestablished as an important area of research. The WWW is a vast repository of unstructured information,in the form of interrelated files, distributed on numerous web servers over wide geographical regions.Web mining deals with the discovering and analyzing of useful information from the WWW. Web usagemining focuses on investigating the potential knowledge from the browsing patterns of users and to findthe correlation between the pages on analysis. To proceed towards web intelligence, obviating the needfor human interaction, need to incorporate and embed artificial intelligence into web tools. Beforeapplying mining techniques, the data in the web log has to be pre-processed, integrated and transformed.The data pre-processing stage is the most important phase in the process of web mining and is criticaland complex in successful extraction of useful data. The web log is non scalable, impractical anddistributed in nature thus conventional data pre-processing techniques are proved to be not suitable asthey assume that the data is static. Hence intelligent system is required for capable of pre processingweblog efficiently. Due to the incremental nature of the web log, it is necessary for web miners to useincremental mining techniques to extract the usage patterns and study the visiting characteristics of user,hence one can require a comprehensive algorithm which reduces the computing cost significantly.This paper introduces an Intelligent System IPS for pre-processing of web log, in addition a learningalgorithm IFP-tree model is proposed for pattern recognition. The Intelligent Pre-processing System(IPS) can differentiate human user and web search engine accesses intelligently in less time, and discardssearch engine accesses. The present system reduces the error rate and improves significant learningperformance of the algorithm. The Incremental Frequent Pattern Tree (IFP-Tree) is to suit forcontinuously growing web log, based on association rule mining with incremental technique. IFP-Tree isto store user-specific browsing path information in a condensed way. The algorithm is more efficient as itavoids the generation of candidates, reduces the number of scans and allows interactive mining withdifferent supports. The experimental results that prove this claim are given in the present paper.
Resonance Raman spectroscopy of red blood cells using lie algebraic technique  [PDF]
J. Vijayasekhar, Srinivasa Rao Karumuri, Uma Maheswara Rao Velagapudi
Natural Science (NS) , 2012, DOI: 10.4236/ns.2012.410105
Abstract: Raman spectra of oxygenated and deoxygenated functional erythrocytes are calculated by using Lie algebraic technique. The results are obtained by this method is accuracy with the experimental data. So, the algebraic techniques are appropriate to the Raman spectra of red blood cells.
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