oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2019 ( 50 )

2018 ( 269 )

2017 ( 286 )

2016 ( 453 )

Custom range...

Search Results: 1 - 10 of 223652 matches for " Manavalan.R "
All listed articles are free for downloading (OA Articles)
Page 1 /223652
Display every page Item
Preparation and evaluation of sustained release loxoprofen loaded microspheres
Venkatesan.P,Manavalan.R,Valliappan.K
Journal of Basic and Clinical Pharmacy , 2011,
Abstract: The aim of present study was to formulate and evaluate the loxoprofen loaded Sustained release microspheres by emulsion solvent evaporation technique. Ethylcellulose, a biocompatible polymer is used as the retardant material.The effects of process conditions such as drug loading, polymer type and solvent type on the characteristics of microspheres were investigated. The prepared microspheres were characterized for their particle size and drug loading and drug release. The in-vitro release studies were carried out in phosphate buffer at pH 7.4. The prepared microsphereswere white, free flowing and spherical in shape. The drug-loaded microspheres showed 71.2% of entrapment and the in-vitro release studies showed that Loxoprofen microspheres of 1:3 ratios showed better sustained effect over a period of 8 hours.
A Literature Review: Stemming Algorithms for Indian Languages
M. Thangarasu,R. Manavalan
Computer Science , 2013,
Abstract: Stemming is the process of extracting root word from the given inflection word. It also plays significant role in numerous application of Natural Language Processing (NLP). The stemming problem has addressed in many contexts and by researchers in many disciplines. This expository paper presents survey of some of the latest developments on stemming algorithms in data mining and also presents with some of the solutions for various Indian language stemming algorithms along with the results.
Stemmers for Tamil Language: Performance Analysis
M. Thangarasu,R. Manavalan
Computer Science , 2013,
Abstract: Stemming is the process of extracting root word from the given inflection word and also plays significant role in numerous application of Natural Language Processing (NLP). Tamil Language raises several challenges to NLP, since it has rich morphological patterns than other languages. The rule based approach light-stemmer is proposed in this paper, to find stem word for given inflection Tamil word. The performance of proposed approach is compared to a rule based suffix removal stemmer based on correctly and incorrectly predicted. The experimental result clearly show that the proposed approach light stemmer for Tamil language perform better than suffix removal stemmer and also more effective in Information Retrieval System (IRS).
Density Based Clustering Scheme Using Dynamic Dissimilarity Measures
V. Kavitha,R.Manavalan
International Journal of Engineering and Advanced Technology , 2012,
Abstract: Clustering methods are used support estimates of adata distribution have newly attracted much attention because oftheir ability to generate cluster boundaries of arbitrary shapeand to contract with outliers efficiently. This paper proposes,Density based clustering using dynamic dissimilarity measurebased on a dynamical system associated with Density estimatingfunctions. Hypothetical basics of the proposed measure aredeveloped and applied to construct a clustering method that canefficiently partition the whole data space. Clustering based onthe proposed dissimilarity measure is robust to handle largeamount of data and able to estimate the number of clustersautomatically by avoid overlap. The dissimilarity values areevaluated and clustering process is carried out with the densityvalues.
Chemometric model for simultaneous spectrophotometric estimation of phenobarbitone and phenytoin sodium in tablets using back-propagation neural network
Satyanarayana D,Kannan K,Manavalan R
Indian Journal of Pharmaceutical Sciences , 2006,
Abstract: A chemometric model for the simultaneous estimation of phenobarbitone and phenytoin sodium anticonvulsant tablets using the back-propagation neural network calibration has been presented. The use of calibration datasets constructed from the spectral data of pure components is proposed. The calibration sets were designed such that the concentrations were orthogonal and span the possible mixture space fairly evenly. Spectra of phenobarbitone and phenytoin sodium were recorded at several concentrations within their linear range and used to compute the calibration mixture between wavelengths 220 and 260 nm at an interval of 1 nm. The back-propagation neural network model was optimized using three different sets of calibration and monitoring data for the number of hidden sigmoid neurons. The calibration model was thoroughly evaluated at several concentration levels using spectra obtained for 95 synthetic binary mixtures prepared using orthogonal designs. The optimized model showed sufficient robustness even when the calibration sets were constructed from different sets of pure spectra of components. Although the components showed complete spectral overlap, the model could accurately estimate the drugs, with satisfactory precision and accuracy, in tablet dosage with no interference from excipients, as indicated by the recovery study results.
Analysis of Cuckoo Search with Genetic Algorithm for Image Compression
S. Akila Pradeep,R.Manavalan
International Journal of Engineering Research , 2014,
Abstract: Compressing an image is different than compressing raw binary data. Of course, general purpose compression Techniques can be used to compress images, but the result is less than optimal. Statistical properties of image have been exploited by encoders specifically designed for them. This also means that lossy compression techniques can be used in this area. In this paper, cuckoo algorithm is integrated with genetic algorithm in image compression framework. Here image compression is implemented with the combination of cuckoo search and genetic algorithm optimization with Discrete Cosine Transform (DCT). The experimental result clearly shows that the efficiency proposed image compression method is better than other based on statistical parameter of PSNR, MSE and CR.
Research: SYSTEMATIC ASSESSMENT OF THE QUALITY OF PATIENT INFORMATION LEAFLETS SUPPLIED BY THE PHARMACEUTICAL MANUFACTURERS
C Moorthi*,R T Saravanakumar,C Senthil Kumar,R Manavalan
Pharmacie Globale : International Journal of Comprehensive Pharmacy , 2012,
Abstract: Written information play a significant role in supplementing and reinforcing information provided by healthcare professionals. Patient information leaflets (PILs), an inexpensive form of written information which aids the patients and their caregivers to understand the disease and medication. However, poorly designed leaflets may lead to lack of adherence to the proposed treatment. Information in PILs must confirm to the highest standards of scientific accuracy, comprehensive, and designed in a way that is easy to read and understand. Hence, the primary aim of the present study was to assess the quality of patient information leaflet supplied by pharmaceutical manufacturers with respect to readability, design and contents. The study included 35 PILs collected from patients, community pharmacies and hospitals. Readability of PILs was assessed using flesch readability ease formula and flesch kincaid grade level formula. Design and contents of PILs were assessed using predefined score table. The study results showed that 88% of the PILs had reading difficulty, 74% of the PILs had poor design and 60 % of the PILs did not have the necessary information.
Studies on mechanism of enhanced dissolution of albendazole solid dispersions with crystalline carriers
Kalaiselvan R,Mohanta G,Manna P,Manavalan R
Indian Journal of Pharmaceutical Sciences , 2006,
Abstract: The main purpose of this research was to study the mechanism of drug release from solid dispersions of albendazole, giving special emphasis to particle size of the drug in solid dispersions. Solid dispersions were prepared using three different carriers, mixing ratios and methods in an attempt to improve the solubility and dissolution rate of albendazole. The mechanism of enhanced dissolution was investigated by a novel dissolution technique as an adjunct to phase solubility study, wettability test, differential scanning calorimetry, X-ray diffractometry, infrared spectroscopy and scanning electron microscopy. The solubility of albendazole was greater with albendazole-poloxamer 407 system, while polyethylene glycol dispersions showed predominant wettability. Physical mixtures showed enhanced dissolution compared with the pure drug, due to improved wetting and solubilization of drug in the diffusion layer offering carrier-rich microenvironment. Preparation of solid dispersion further improved the dissolution compared to the physical mixture, owing to increased surface area for mass transfer, thermodynamically enhanced dissolution of a higher energy amorphous form from the carrier, in addition to improved wetting and solubilization. All carriers showed comparable degree of drug particle size reduction, whereas mixing ratio and method of preparation substantially affected the particle size. Intermolecular association of drug with the carrier led to inhibition of drug recrystallization.
Development and validation of dissolution test for Metoprolol sustained release capsules
K Kannan, T Subburaj, R Manavalan, PK Karar
African Journal of Biotechnology , 2007,
Abstract: Dissolution test for sustained release capsules of Metoprolol 125 mg was developed and validated according to FDA and ICH guidelines. Metoprolol coated pellets were coated with microcrystalline wax and glyceryl distearate for slow release of drug. The dissolution method which uses USP apparatus I (Basket) with rotating at 100 rpm, 900 ml of different dissolution medium, ultra violet spectroscopy for quantification was demonstrated to be robust, discriminating and transferable. Dissolution tests conditions were selected after it was demonstrated that the Metoprolol rapidly dissolved in the aqueous media over the pH range of 1.2 to 7.4
Development of a HPLC method for the simultaneous determination of losartan potassium and atenolol in tablets
Sivakumar T,Venkatesan P,Manavalan R,Valliappan K
Indian Journal of Pharmaceutical Sciences , 2007,
Abstract: A new reversed-phase high performance liquid chromatography method was developed and validated for the simultaneous determination of losartan potassium and atenolol in tablets. The separation was achieved on Supelcosil ODS analytical column (25x0.46 cm, i.d., 5 μm) using acetonitrile and 25 mM potassium dihydrogen phosphate (45:55 v/v, pH 3.00±0.05) as mobile phase at a flow rate of 1.2 ml/min. Detection was carried out using a UV detector at 227 nm. The method was validated. The developed and validated method was successfully applied for the quantitative analysis of Losar beta tablets. The total chromatographic analysis time per sample was about 6 min with atenolol, chlorzoxazone (internal standard) and losartan eluting at retention times of about 2.72, 4.89 and 5.61 min, respectively. The standard curves were linear over the concentration ranges, 1 to 10 μg/ml for losartan potassium and atenolol. The values obtained of LODs were 0.029 and 0.062 μg/ml and LOQs were 0.078 and 0.187 μg/ml for losartan potassium and atenolol, respectively. The proposed method is fast, accurate and precise for the determination of losartan potassium and atenolol for routine quality control of tablets containing these two drugs.
Page 1 /223652
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.