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Search Results: 1 - 10 of 198096 matches for " N. Tamilselvi "
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BIOANALYTICAL METHOD DEVELOPMENT AND VALIDATION OF PIRFENIDONE BY RPHPLC METHOD AND ITS APPLICATION TO THE DETERMINATION OF DRUG FOOD INTERACTION STUDY IN WISTER RATS
N. Tamilselvi,Dona Sara Kurian
International Journal of Pharmaceutical and Biological Research , 2012,
Abstract: A simple precise, accurate RP-HPLC method has been developed and validated for bioavailability study of pirfenidone in wister rat plasma. The separation and quantization of pirfenidone was achieved on a C18 reversed phase column using the mobile phase in gradient mode constituting of eluant A HPLC grade water (adjusted to pH 3.5) and eluant B 20% acetonitrile and 15% of methanol in the ratio of 60: 40 at a flow rate 1 mlmin-1. Eluted components were detected at 324 nm. The method showed good linearity for Pirfenidone in the range of 50–250ng mL-1, Y=54.97x - 349.5and correlation coefficient R2 is 0.998 respectively. The limit of quantitation (LOQ) and limit of detection (LOD) were found to be 12 and 20 ng mL-1respectively.Thedeveloped method shows good accuracy and precision. . Accuracy ranges from 98.49% to 99.37% with the precision 6.43% to 7.67% in inter-day method. Intra-day method the accuracy ranges from 98.64% to 99.33%with the precision 5.64% to 6.93 %. For bioanalytical study, parameters like Cmax, Tmax, AUC0-t,AUC 0-∞,Keli and T1/2 are compared by statistical analysis. The maximum concentration (Cmax) obtained for pirfenidone before and after food was found to be 1020.76 ng mL-1 and 836.5ng mL-1 respectively. The half life (T1/2) of pirfenidonebefore and after food were calculated and found to be 2.732158 h and 4.009485 h respectively. Area under the curve t AUC.0 of pirfenidone before food was calculated as 3060.95nghr mL-1 and 0 AUC was found to be 3053.07ng mL-1. Area under the curve t AUC.0 of pirfenidone after food was calculated as 2534.16nghr mL-1 and 0 AUC was found to be 2510.64ng mL-1. Elimination rate constant for Pirfenidone was found to be 0.004228 h-1and 0.002881 h-1 respectively. This method was successfully applied to the bioavailability study of pirfenidone.
Token-based method of blocking records for large data warehouse
Jebamalar Tamilselvi J.,Saravanan V.
Advances in Information Mining , 2010,
Abstract: Record linkage is a critical problem in duplicate data elimination. It is used to detect and eliminateduplicate data. The elimination of duplicate data will increase the quality of data. Record Linkage problem willtake high computational cost because of the large number of record comparisons. The comparison of records isinefficient in large data warehouses. Blocking methods are used to group the records to minimize the number ofrecord comparisons. This paper explains the existing blocking methods and its comparison and discusses theselection of token-based blocking key for record comparisons.
Word Sense Disambiguation using case based Approach with Minimal Features Set
Tamilselvi P,S.K.Srivatsa
Indian Journal of Computer Science and Engineering , 2011,
Abstract: In this paper we presented a case based approach for word sense disambiguation using minimal features set. To make the disambiguation, we took only two features for two different methods, post-bigram (immediate left word with ambiguous word – l1w) and pre-bigram (ambiguous word with immediate right word of it – wr1). Toclassify the cases for disambiguation, we followed three steps: instance or case identification from the distributed dictionaries, instance filtering based on the PoS and finally, case selection based on similarity measuring methods. Here, we used three different distant measuring functions, Euclidean, city-block and cosinemethods. Set of reduced form of cases are treated as input for disambiguation. For making disambiguation, we applied K-nearest neighboring algorithm and artificial Neural Network. Among these two, KNN produced better disambiguation accuracy of 81.75% from cosine cases using pre-bigram features.
Improved Gabor Filter for Extracting Texture Edge Features in Ultrasound Kidney Images
P.R. Tamilselvi,P. Thangaraj
Modern Applied Science , 2010, DOI: 10.5539/mas.v4n4p62
Abstract: The diagnosis of urinary tract calculi begins with a focused history of calculi, evolution of its symptoms and the duration. Computer assisted approaches for analyzing the images have increased since the manual interpretation of the image is a time consuming process and susceptible to human errors. The proposed system develops a multi-scale wavelet based Bayesian speckle suppression method for ultrasound kidney images. The logarithmic transform of the original image is analyzed into the multi-scale wavelet domain. The subband decompositions of ultrasound images have significantly non-Gaussian statistics that are best described by families of heavy-tailed distributions. Bayesian estimators are designed to exploits these statistics. Ultrasound (US) is increasingly considered as a viable alternative imaging modality in computer-assisted Kidney segmentation and disease diagnosis applications. Automatic Kidney segmentation from US images, however, remains a challenge due to speckle noise and various other artifacts inherent to US. This paper, design intensity invariant local image phase features, obtained using improved Gabor filter banks, for extracting edge texture features that occur at core and intermediate layer interfaces. The proposed model does the extension of phase symmetry features to modified gabor mode and their use in automatic extraction of kidney edge texture features from US normal and diseased patient images. The system functionality is proved qualitatively and quantitatively through experimentation for synthetic and real data sets. The localization feature value threshold is evaluated with the training samples of US images. The speckle noise error ratio with respect to the standard US image are compared and experimented.
Optimal Path Selection for Mobile Robot Navigation Using Genetic Algorithm
D Tamilselvi,S Mercy Shalinie,M Hariharasudan
International Journal of Computer Science Issues , 2011,
Abstract: The proposed Navigation Strategy using GA(Genetic Algorithm) finds an optimal path in the simulated grid environment. GA forces to find a path that is connected to the robot start and target positions via predefined points. Each point in the environmental model is called genome and the path connecting Start and Target is called as Chromosome. According to the problem formulation, the length of the algorithm chromosomes (number of genomes) is dynamic. Moreover every genome is not a simple digit. In this case, every genome represents the nodes in the 2D grid environment. After implementing the cross over and mutation concepts the resultant chromosome (path) is subjected to optimization process which gives the optimal path as a result. The problem faced with is there may be chances for the loss of the fittest chromosome while performing the reproduction operations. The solution is achieved by inducing the concept of elitism thereby maintaining the population richness. The efficiency of the algorithm is analyzed with respect to execution time and path cost to reach the destination. Path planning, collision avoidance and obstacle avoidance are achieved in both static and dynamic environment.
GENERAL WEB KNOWLEDGE MINING FRAMEWORK
B. Madasamy,Dr. J. Jebmalar Tamilselvi
International Journal on Computer Science and Engineering , 2012,
Abstract: Mining the web is defined as discovering knowledge from hypertext and World Wide Web. The World Wide Web is one of the longest rising areas of intelligence gathering. Now a day there are billions of web pages, HTML archive accessible via the internet, and the number is still increasing. However, considering the inspiring diversity of the web, retrieving of interestingness web based content has become a very complex task. The large amount of data heterogeneity, complex format, high dimensional data and lack of structure of web, knowledge mining is a challenging task. In this paper, it is proposed to introduce a new framework generated to handle unstructured complex data. This web knowledge mining expertise brings forward a kind of XML-based distributed data mining architecture. Based on the research of web knowledge mining, XML is used to create well structured data. Web knowledge mining framework attempts to determine useful knowledge from derived data, complex format, and high dimensional data obtained from the interactions of the users through the Web.
Anticorrosive Performance of Zinc Phosphate Coatings on Mild Steel Developed Using Galvanic Coupling
M. Arthanareeswari,P. Kamaraj,M. Tamilselvi
Journal of Chemistry , 2013, DOI: 10.1155/2013/673961
Abstract:
SATRAT: Staphylococcus aureus transcript regulatory network analysis tool
Tamilselvi Gopal,Vijayaraj Nagarajan,Mohamed O. Elasri
PeerJ , 2015, DOI: 10.7717/peerj.717
Abstract: Staphylococcus aureus is a commensal organism that primarily colonizes the nose of healthy individuals. S. aureus causes a spectrum of infections that range from skin and soft-tissue infections to fatal invasive diseases. S. aureus uses a large number of virulence factors that are regulated in a coordinated fashion. The complex regulatory mechanisms have been investigated in numerous high-throughput experiments. Access to this data is critical to studying this pathogen. Previously, we developed a compilation of microarray experimental data to enable researchers to search, browse, compare, and contrast transcript profiles. We have substantially updated this database and have built a novel exploratory tool—SATRAT—the S. aureus transcript regulatory network analysis tool, based on the updated database. This tool is capable of performing deep searches using a query and generating an interactive regulatory network based on associations among the regulators of any query gene. We believe this integrated regulatory network analysis tool would help researchers explore the missing links and identify novel pathways that regulate virulence in S. aureus. Also, the data model and the network generation code used to build this resource is open sourced, enabling researchers to build similar resources for other bacterial systems.
Trace Metal Concentration in Sediments of Tamirabarani River in Relationships with Physico Chemical Characteristics - A Study Using Gis Application
Chandrasekaran, A,,Mukesh, M.V,Anantharaman, P,,Tamilselvi, M
International Journal of Innovative Technology and Exploring Engineering , 2013,
Abstract: A study is carried out to investigate the concentrations and distribution of trace metals to the sediments of Tamirabarani River, south east coast of India. Nearly sixteen soil samples collected from river mouth and tributaries and analyzed for traces elements show high-rate concentration of Hg (3.52-24.69μg g-1) Cu(2.2-17.82μg g-1), Ni(7.83-15.2μg g-1), Cr(58.3-145.5μg g-1), Pb(3.48-12.93μg g-1), Zn(9.3-74μg g-1) and Cd(1.41-4.92μg g-1). The pH, EC, and TDS values reported as (8.1-9.5) (384-16250) (303-33050) .The abundances of such metals caused by the river contribution of sediments from areas with unplanned agricultural development and from the industrial, activity carried out on the riverbanks. It is concluded that in and around Mukkani area, the concentration of heavy metals is higher due to anthropogenic and industrial effluent in Tamirabarani River.
Novel neurotrophic factor secreted by amniotic epithelial cells
Sankar Venkatachalam,Tamilselvi Palaniappan,Prem Kumar Jayapal,Sridharan Neelamegan
Biocell , 2009,
Abstract: By virtue of expressions of glial and neural surface markers and capability of neurotransmitter metabolism, amniotic epithelial cells are considered as candidate cell type for transplantation strategies to treat neurological disorders. Previously, we have reported neurotrophism exhibited by human amniotic epithelial cells when transplanted after spinal cord injury in bonnet monkeys. Amniotic epithelial cells were believed to secrete an "Epidermal Growth Factor (EGF) - like" factor and exact identification was not made. At this juncture, through the present study it was found that, chicken neural retinal cells when grown alone failed to survive and contrarily when either co-cultured with chicken amniotic epithelial cells / cultured in amniotic epithelial cell conditioned medium not only survived but also showed extensive differentiation. Fibroblast Growth Factor - 2 (FGF-2) plays a critical role in retinal development especially in chicken neural retinal development. However, immunoassay using western blot did not revealed the presence of any already known isoforms of FGF-2 in the medium. It is interesting to note that while factor secreted by amniotic epithelial cells resembles EGF and/or FGF-2 in its biological action, known isoforms of them were not detected. Considering the biological closeness between EGF and FGF-2, results indicate the possibility of a novel isoform of these growth factors secreted by amniotic epithelial cells. Further studies will establish the nature of this novel factor which will enhance the application of this interesting cell type for neural transplantations.
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