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Search Results: 1 - 10 of 298291 matches for " J. Surya Narayana Achary "
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Optimization of Diffraction Efficiency and Polarization Dependence Loss in Photopolymer Grating for Use in Multichip Module  [PDF]
Lingaraj Sahu, J. Surya Narayana Achary, Sukanta Kumar Tripathy
Journal of Modern Physics (JMP) , 2012, DOI: 10.4236/jmp.2012.39131
Abstract: We in this paper propose a model to increase the diffraction efficiency of a holographic grating at 1550 nm for multiplexing application. To use such a grating, polarization dependence loss is introduced analytically and then optimized for its minimum value A configuration of holographic grating is proposed based on both maximum diffraction efficiency and minimum polarization dependence loss. The proposed grating is expected to find importance in optoelectronic multichip module.
A Novel Benchmark K-Means Clustering on Continuous Data
K. Prasanna,M. Sankara Prasanna Kumar,G. Surya Narayana
International Journal on Computer Science and Engineering , 2011,
Abstract: Cluster analysis is one of the prominent techniques in the field of data mining and k-means is one of the most well known popular and partitioned based clustering algorithms. K-means clusteringalgorithm is widely used in clustering. The performance of k-means algorithm will affect when clustering the continuous data. In this paper, a novel approach for performing k-means clustering on continuous data is proposed. It organizes all the continuous data sets in a sorted structure such that one can find all the data sets which are closest to a given centroid efficiently. The key institution behind this approach is calculating the distance from origin to each data point in the data set. The data sets are portioned into k-equal number of cluster with initial centroids and these are updated all at a time with closest one according to newlycalculated distances from the data set. The experimental results demonstrate that proposed approach can improves the computational speed of the direct k-means algorithm in the total number of distance calculations and the overall time of computations particularly in handling continuous data.
In silico evidence of signaling pathways of notch mediated networks in leukemia
Kaiser Jamil,Archana Jayaraman,Raghunatha Rao,Surya Narayana G. Raju
Computational and Structural Biotechnology Journal , 2012,
Abstract: Notch signaling plays a critical role in cell fate determination and maintenance of progenitors in many developmental systems. Notch receptors have been shown to be expressed on hematopoietic progenitor cells as well as to various degrees in peripheral blood T and B lymphocytes, monocytes, and neutrophils. Our aim was to understand the protein interaction network, using Notch1 protein name as query in STRING database and we generated a model to assess the significance of Notch1 associated proteins in Acute Lymphoblastic Leukemia (ALL). We further analyzed the expression levels of the genes encoding hub proteins, using Oncomine database, to determine their significance in leukemogenesis. Of the forty two hub genes, we observed that sixteen genes were underexpressed and eleven genes were overexpressed in T-cell Acute Lymphoblastic samples in comparison to their expression levels in normal cells. Of these, we found three novel genes which have not been reported earlier- KAT2B, PSEN1 (underexpressed) and CDH2 (overexpressed).These three identified genes may provide new insights into the abnormal hematopoietic process observed in Leukemia as these genes are involved in Notch signaling and cell adhesion processes. It is evident that experimental validation of the protein interactors in leukemic cells could help in the identification of new diagnostic markers for leukemia.
Safety and Performance of Sirolimus-Eluting Coronary Stent System with Biodegradable Polymer: A Retrospective Analysis in Real-World Patient Population  [PDF]
Vithala Surya Prakasa Rao, A. S. V. Narayana Rao, Pannala Lakshmi Narasimha Kapardhi, Priyen Kantilal Shah, Revanur Viswanath, Satyajit Govindrao Mehetre, Avanindra Kumar Srivastava
World Journal of Cardiovascular Diseases (WJCD) , 2017, DOI: 10.4236/wjcd.2017.75015
Background and Aim: Newer generation coronary stent systems with low profile metallic frame, biodegradable polymer coating and potent but safe anti-restenosis drug from “limus family” are emerging as safe and effective stents. To evaluate the safety and performance of Metafor SES (Meril life Sciences Pvt. Ltd., Vapi, India) in consecutive patients in a real-world population. Methods: The study was a retrospective, non-randomized, single-center study which evaluated the data of 127 patients who underwent percutaneous coronary intervention (PCI) treated with Metafor SES from February 2012 to February 2015 and mean follow-up period of those patients was 3.6 ± 0.6 years. The primary endpoint was a major adverse cardiac event (MACE) including cardiac death, myocardial infarction (MI), and target lesion revascularization (TLR). In addition, Stent thrombosis (ST) was analyzed at respective follow-up period. Results: A total of 127 patients (mean age: 53.70 ± 8.41 years and 99 males) were included. Among those 80 (63%) patients had hypertension and 58 (45.7%) patients with diabetes mellitus.At follow-up, MACE in form of TLR was observed in 2 (1.6%) patients only. No cardiac death or stent thrombosis was reported in any patient. A total of 169 lesions were treated with the Metafor SES (1.3 stents per lesion). The 38.4% of patients treated with the Metafor SES with lesion length ≥24 mm, and the procedural success was 100%. Conclusions: The lower incidence of MACE in uncontrolled and real world population at long term follow-up clearly depicts the prolonged safety and performance of the Metafor SES.
QSAR Studies of 6-Amino Uracil Base Analogues: A Thymidine Phosphorylase Inhibitor in Cancer Therapy
Surya Prakash B. N. Gupta,Neeraj Upmanyu,N. S. Hari Narayana Moorthy,S. Bhattacharya
Journal of Chemistry , 2008, DOI: 10.1155/2008/242865
Information-theoretic limits of selecting binary graphical models in high dimensions
Narayana Santhanam,Martin J. Wainwright
Mathematics , 2009,
Abstract: The problem of graphical model selection is to correctly estimate the graph structure of a Markov random field given samples from the underlying distribution. We analyze the information-theoretic limitations of the problem of graph selection for binary Markov random fields under high-dimensional scaling, in which the graph size $p$ and the number of edges $k$, and/or the maximal node degree $d$ are allowed to increase to infinity as a function of the sample size $n$. For pairwise binary Markov random fields, we derive both necessary and sufficient conditions for correct graph selection over the class $\mathcal{G}_{p,k}$ of graphs on $p$ vertices with at most $k$ edges, and over the class $\mathcal{G}_{p,d}$ of graphs on $p$ vertices with maximum degree at most $d$. For the class $\mathcal{G}_{p, k}$, we establish the existence of constants $c$ and $c'$ such that if $\numobs < c k \log p$, any method has error probability at least 1/2 uniformly over the family, and we demonstrate a graph decoder that succeeds with high probability uniformly over the family for sample sizes $\numobs > c' k^2 \log p$. Similarly, for the class $\mathcal{G}_{p,d}$, we exhibit constants $c$ and $c'$ such that for $n < c d^2 \log p$, any method fails with probability at least 1/2, and we demonstrate a graph decoder that succeeds with high probability for $n > c' d^3 \log p$.
Genetic Regulation by NLA and MicroRNA827 for Maintaining Nitrate-Dependent Phosphate Homeostasis in Arabidopsis
Surya Kant,Mingsheng Peng,Steven J. Rothstein
PLOS Genetics , 2011, DOI: 10.1371/journal.pgen.1002021
Abstract: Plants need abundant nitrogen and phosphorus for higher yield. Improving plant genetics for higher nitrogen and phosphorus use efficiency would save potentially billions of dollars annually on fertilizers and reduce global environmental pollution. This will require knowledge of molecular regulators for maintaining homeostasis of these nutrients in plants. Previously, we reported that the NITROGEN LIMITATION ADAPTATION (NLA) gene is involved in adaptive responses to low-nitrogen conditions in Arabidopsis, where nla mutant plants display abrupt early senescence. To understand the molecular mechanisms underlying NLA function, two suppressors of the nla mutation were isolated that recover the nla mutant phenotype to wild type. Map-based cloning identified these suppressors as the phosphate (Pi) transport-related genes PHF1 and PHT1.1. In addition, NLA expression is shown to be regulated by the low-Pi induced microRNA miR827. Pi analysis revealed that the early senescence in nla mutant plants was due to Pi toxicity. These plants accumulated over five times the normal Pi content in shoots specifically under low nitrate and high Pi but not under high nitrate conditions. Also the Pi overaccumulator pho2 mutant shows Pi toxicity in a nitrate-dependent manner similar to the nla mutant. Further, the nitrate and Pi levels are shown to have an antagonistic crosstalk as displayed by their differential effects on flowering time. The results demonstrate that NLA and miR827 have pivotal roles in regulating Pi homeostasis in plants in a nitrate-dependent fashion.
Mathematical Modeling and Simulation of Photovoltaic Cell using Matlab-Simulink Environment
J.Surya Kumari,Ch. Sai Babu
International Journal of Electrical and Computer Engineering , 2012, DOI: 10.11591/ijece.v2i1.117
Abstract: Photovoltaic power supplied to the utility grid is gaining more and more visibility while the world’s powers demand is increases. Growing demand, advancements in semiconductor technology and magnetic materials such as high frequency inductor cores, has a significant impact on PV inverter topologies and their efficiencies, on the improvement of the control circuits on the potential of costs reduction. The user naturally wants to operate the Photovoltaic (PV) array at its highest energy conversion output by continuously utilizing the maximum available solar power of the array. The electrical system PV modules are powered by solar arrays requires special design considerations due to varying nature of the solar power generated resulting from unpredictable and sudden changes in weather conditions which change the solar irradiation level as well as the cell operating temperature. This paper, a mathematical model of a Photovoltaic (PV) cell used matlab-simulink environment, is developed and presented. The model is developed using basic circuit equations of the photovoltaic solar cells including the effects of solar irradiation and temperature changes. The main objective is to find the parameters of the nonlinear I–V equation by adjusting the curve at three points: open circuit, maximum power, and short circuit. the method finds the best I–V equation for the single-diode photovoltaic (PV) model including the effect of the series and parallel resistances– Key words : Photovoltaic system (PV), maximum power, PV array,PV cell
Santosh Voruganti*, J. Surya Chandra Padman
International Journal of Pharmaceutical Sciences and Research , 2013,
Abstract: ABSTRACT: Protein drug delivery has emerged to be an important area of research in the field of novel drug delivery technology. The objective of the study was to prepare poly (D, L-lactide-co-glycolide) (PLGA) microspheres containing bovine serum albumin (BSA) as a model drug and to evaluate the various physicochemical characteristics of the formulations, namely morphology, particle size, FTIR, DSC, BSA encapsulation efficiency and in-vitro BSA release profile. BSA-loaded microspheres were prepared by double emulsion solvent evaporation method with different BSA: PLGA ratios and at different speeds of homogenization keeping the amount of BSA constant in all the formulations. Out of those 1:10 was selected as a optimized (drug: polymer) for BSA loaded PLGA microspheres, there after internal parameters like volume of inner aqueous phase(2ml), volume of DCM(10ml), concentration of polymer (9.09%),speed of homogenization, were selected as a optimized formulation parameters. Accelerated stability testing was performed with the optimized formulations for a period of eight weeks. The mean particle size and encapsulation efficiency of the microspheres were found to decrease as the speed of homogenization increased. And the same were found to increase simultaneously with increase in the amount of polymer. The in vitro release study showed a slow and steady release pattern of BSA. Accelerated stability studies indicated that formulations here stable during the period of study. Thus, a sustained release formulation of protein loaded PLGA microspheres was developed.
Resonant and Non-Resonant Pieces of the $D\rightarrow \bar{K}π$ Semileptonic Transition Amplitude
J. Schechter,A. Subbaraman,S. Surya
Physics , 1993, DOI: 10.1142/S0217751X94001515
Abstract: We compare the resonant and non-resonant contributions in various regions of phase space for the $D\rightarrow \bar{K}\p$ semileptonic transition amplitude, computed in a chiral model which incorporates the heavy quark symmetry. Remarks on the significance for experiment and for chiral perturbation theory are made. hep-ph/yymmnnn
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