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Simultaneous detection of Hepatitis B virus and Hepatitis C virus in human plasma using Taq-man chemistry
Naresh Kumar Y,Rahmathulla S,Madhavi C,Ramachandra V V
Journal of Medical and Allied Sciences , 2011,
Abstract: Designing a rapid, reliable and sensitive assay, for detection of hepatitis B virus and Hepatitis C virus variants by real-time PCR, is challenging at best. A recent approach for quantifying the viral load using the sensitive fluorescence principle, was used in this study. A total of 350 samples were collected from outpatient unit, Center for Liver Research and Diagnostics (CLRD). Complete Human HBV DNA and HCV sequences were obtained from the National Centre for Biotechnology Information (NCBI); primers and probes were designed and synthesized from core, surface and x region of Hepatitis B and UTR region of HCV. Real-time based detection was done, using standard kit and in-house generated standards and RT-PCR protocols. A standard curve was generated by using the Smart Cycler II software and serial dilution 102 to 108 of cloned viral regions, the calibration curve was linear in a range from 102 to108 cp/ml for both HBV and HCV, with R2 value of 0.999 and 0.995. Out of 100 predetermined HCV negative samples, 02 samples were found positive with in-house developed RT-PCR assay, the positivity of this sample was confirmed by sequencing the amplified product. Low cost of this assay procedure and précised sample volume will permit the assay to be implemented for routine screening of Hepatitis B and C virus mono-infection and co-infection using Real Time PCR , Nucleic acid Chip technology and Fluorescent End Point detection systems. This assay is reproducible showing limited inter and intra assay variability. Our results correlated well with the standard kit for HBV and HCV virus monitor.
Rank-Me: A Java Tool for Ranking Team Members in Software Bug Repositories  [PDF]
Naresh Kumar Nagwani, Shrish Verma
Journal of Software Engineering and Applications (JSEA) , 2012, DOI: 10.4236/jsea.2012.54030
Abstract: In this paper a team member ranking technique is presented for software bug repositories. Member ranking is performed using numbers of attributes available in software bug repositories, and a ranked list of developers is generated who are participating in development of software project. This ranking is generated from the contribution made by the individual developers in terms of bugs fixed, severity and priority of bugs, reporting newer problems and comments made by the developers. The top ranked developers are the best contributors for the software projects. The proposed algorithm can also be used for classifying and rating the software bugs using the ratings of members participating in the software bug repository.
CLUBAS: An Algorithm and Java Based Tool for Software Bug Classification Using Bug Attributes Similarities  [PDF]
Naresh Kumar Nagwani, Shrish Verma
Journal of Software Engineering and Applications (JSEA) , 2012, DOI: 10.4236/jsea.2012.56050
Abstract: In this paper, a software bug classification algorithm, CLUBAS (Classification of Software Bugs Using Bug Attribute Similarity) is presented. CLUBAS is a hybrid algorithm, and is designed by using text clustering, frequent term calculations and taxonomic terms mapping techniques. The algorithm CLUBAS is an example of classification using clustering technique. The proposed algorithm works in three major steps, in the first step text clusters are created using software bug textual attributes data and followed by the second step in which cluster labels are generated using label induction for each cluster, and in the third step, the cluster labels are mapped against the bug taxonomic terms to identify the appropriate categories of the bug clusters. The cluster labels are generated using frequent and meaningful terms present in the bug attributes, for the bugs belonging to the bug clusters. The designed algorithm is evaluated using the performance parameters F-measures and accuracy. These parameters are compared with the standard classification techniques like Na?ve Bayes, Naive Bayes Multinomial, J48, Support Vector Machine and Weka’s classification using clustering algorithms. A GUI (Graphical User Interface) based tool is also developed in java for the implementation of CLUBAS algorithm.
ML-CLUBAS: A Multi Label Bug Classification Algorithm  [PDF]
Naresh Kumar Nagwani, Shrish Verma
Journal of Software Engineering and Applications (JSEA) , 2012, DOI: 10.4236/jsea.2012.512113
Abstract:

In this paper, a multi label variant of CLUBAS [1] algorithm, ML-CLUBAS (Multi Label-Classification of software Bugs Using Bug Attribute Similarity) is presented. CLUBAS is a hybrid algorithm, and is designed by using text clustering, frequent term calculations and taxonomic terms mapping techniques, and is an example of classification using clustering technique. CLUBAS is a single label algorithm, where one bug cluster is exactly mapped to a single bug category. However a bug cluster can be mapped into the more than one bug category in case of cluster label matches with the more than one category term, for this purpose ML-CLUBAS a multi label variant of CLUBAS is presented in this work. The designed algorithm is evaluated using the performance parameters F-measures and accuracy, number of clusters and purity. These parameters are compared with the CLUBAS and other multi label text clustering algorithms.

A STUDY OF EFFECT OF LEKHANIYA MAHAKASHAYA ON LIPID PROFILE
Kumar Naresh
International Journal of Research in Ayurveda and Pharmacy , 2012,
Abstract: Many of the heart diseases are closely associated with rise in the level of serum lipids, the condition known as ‘hyperlipidaemia’ which further leads to atherosclerosis. In Ayurvedic view, hyperlipidaemia could be considered analogous with increased dusht medo dhatu in the body which is caused by hypo functioning of medo-dhaatwaghi. According to Sharangdhara, any drug possessing laghu and tikshana properties, katu vipaka and ushana virya performs lekhan karma i.e. curretive and absorptive action on Dosha, Dhatu and Mala. Along with lekhan karma, owing to above said attributes, these drugs improve strength of agni particularly Jathragni and dhaatwagni which further reduces and ultimately stops production of Dhust Medo Dhatu in the body. The Lekhaniya Mahakashaya, mentioned in Charaka Samhita possesses above mentioned characteristics. The only need was to prove its hypolipidaemic effect in human body by conducting clinical trials. The present study proved this fact.
A Novel Approach on Harmonic Elimination in Single Phase Systems by Means of a Hybrid Series Active Filter (HSAF)
I. V. Koteswara Rao,K. Sujesh,S. Radha Krishna Reddy,Y. Naresh Kumar
International Journal of Engineering and Advanced Technology , 2012,
Abstract: In this paper, a fully-digital-controlled Hybrid Series Active Filter (HSAF) for harmonic elimination and reactive power compensation in single phase systems is presented. The HSAF is composed of two single tuned LC filters and a small-rated active filter. Discrete Fourier transformation is used as the control method. Simulation results using MATLAB program shows the effectiveness of the control method. A hybrid series active filter is implemented verifying the accuracy of the control method.
Optimal Policy for EOQ Model with Two Level of Trade Credits in One Replenishment Cycle  [PDF]
Amit Sharma, Ruchi Goel, Naresh Kumar Dua
American Journal of Operations Research (AJOR) , 2012, DOI: 10.4236/ajor.2012.21006
Abstract: In general, a supplier/retailer frequently offer trade credit to stimulate their respective sales. The main purpose of this paper is to investigate the optimal supplier/retailer’s replenishment decisions under two levels of trade credit policy within the economic order quantity (EOQ) framework. This paper deals with the supplier/retailer’s inventory replenishment problem under two levels of trade credit in one replenishment cycle. A different approach of two levels of trade credit is used, which give more freedom to the supplier/retailer in business. In addition, the easy-to-use procedure is developed to efficiently find the optimal cycle time for the retailer under minimizing annual total relevant cost. Finally, a numerical example is given to illustrate these results.
Physio-pathology of induced endotoxaemia in bovine and its treatment regimen  [PDF]
Irtiza Nabi, Digvijay Singh, Naresh Kumar Sood
Journal of Biomedical Science and Engineering (JBiSE) , 2013, DOI: 10.4236/jbise.2013.611135
Abstract:

Endotoxic shock was induced in five apparently healthy male buffalo calves by i.v infusion of Escherichia coli endotoxin at 5microgram/kilogram (μg/Kg) body weight/hour (BW/hr) for 3 hours. Endotoxin infusion caused clinical signs of restlessness, respiratory distress, snoring, diarrhoea, profuse salivation along with the significant hypoproteinemia, hypoalbuminemia and hypokalemia in all the animals. The animals were observed up to day 4 or death, whichever was earlier. The treatment with one time intravenous infusion of hypertonic saline solution @ 4milliliter/Kilogram body weight (ml/Kg?BW), dextran-40 @ 10 ml/Kg?BW, flunixin meglumine @ 1.1 milligram/Kg?BW (mg/Kg?BW) and blood @ 20 ml/Kg?BW to these animals alleviated the clinical signs and significantly raised the circulating glucose level at 4.5 and 5.5 hrs. The treatment led to survival of three of the five endotoxemic buffalo calves. The significant hypoproteinemia, hypoalbuminemia, hypokalemia and hypoglobulinemia continued even after treatment. Gross and histopathologic findings of congestion, haemorrhage, necrosis in vital organs viz., lungs, liver, kidneys, brain and intestines were suggestive of endotoxin induced hypoxia and multi-organ failure. Additionally, emphysema and fibrinous thrombi in microvasculature of lungs were salient histopathological findings indicating terminal respiratory failure in the remaining two dead endotoxemic buffalo calves. From clinical signs, plasma chemistry and pathological lesions, it was concluded that endotoxemia led to a disruption of critical life processes, but a timely and effective treatment could counter these deleterious effects and save precious lives.

Common Fixed Point Theorems for Compatible and Weakly Compatible Maps in G-Metric Spaces  [PDF]
Asha Rani, Sanjay Kumar, Naresh Kumar, S. K. Garg
Applied Mathematics (AM) , 2012, DOI: 10.4236/am.2012.310166
Abstract: In this paper first we prove common fixed point theorems for compatible and weakly compatible maps. Secondly, we prove common fixed point theorems for weakly compatible maps along with property (E.A.) and (CLRg) property respectively.
Correlations of Stream Flow and Climatic Variables for a Large Glacierized Himalayan Basin  [PDF]
Manohar Arora, Rakesh Kumar, Jatin Malhotra, Naresh Kumar
Journal of Water Resource and Protection (JWARP) , 2014, DOI: 10.4236/jwarp.2014.614122
Abstract: Streamflow represents the integrated response of a watershed to climatic variables, particularly precipitation and air temperature. In this study, relationships between discharge and hydro meteorological parameters near the snout of Gangotri Glacier were investigated. The auto correlations and multi day influence of temperature and rainfall on discharge can provide valuable information about the Glacier response which can be helpful for estimating discharge in data scarce regions. The data for eight continuous ablation seasons (2000-2007) were used investigating correlations, lag cross correlations and multivariate regression analysis between daily mean discharge, daily mean temperature and daily rainfall, whereas last four years data (2008-2011) was used to simulate the daily discharge from the established relations. Snowmelt discharge varies during the rise in the annual temperature cycle in response to the combination of temperature variation and the amount of water held in the evolving snowpack. The discharge and temperature is highly auto correlated. It was found that discharge of a particular day (Qi) is well represented by the regression equation having Qi-1, Ti, and Ri. Such developed regression equation can be used for computing discharge once its input variables are available. The regression equation developed using the eight year data i.e. Qi = 2.962 + 1.011Qi-1 - 0.422Ti + 0.203Ri is used for forecasting of discharge. For all the years discharge was computed with high accuracy (R2 - 0.93).
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