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Molecular evolution of pathogenic bacteria based on rrsA gene
Aravind Setti,T A Phazna Devi,Smita C Pawar,G Rajesh
Journal of Medical and Allied Sciences , 2012,
Abstract: Evolution of pathogens in prokaryotic bacteria was studied by 16srRNA genes. In this study rrsA genes of 45 bacteria were considered, which includes pathogens, non-pathogens and out-group bacteria. We considered non-pathogenic bacteria, for each class in bacterial classification, to support the pathogenic evolution. In this investigation, aligned nucleotide sequences of rrsA genes were used for Phylogenetic analysis and they have been clustered precisely. Maximum Likelihood (ML) and Maximum Parsimony (MP) methods were employed for the molecular evolution of pathogenic bacteria. The best-fit substitution model with the lowest Bayesian Information Criterion scores is considered to describe the substitution pattern the best, and non-uniformity of evolutionary rates among sites were modeled by using a discrete Gamma distribution. Nearest Neighbor Interchange (NNI) heuristic method was used to generate the tree for ML and Close Neighbor Interchange (CNI) on random trees search methods for MP. Further both the phylogenetic trees were statistically evaluated for accuracy by bootstrap value. Transition and transversion ratio of the rrsA genes have been estimated for the mutation frequency over the evolution by Maximum Composite Likelihood (MCL) bias and ML bias. Combined pathogenic and non pathogenic bacteria analysis reflected the clear diversity of bacteria over time and agrees with morphological and cytological data. These molecular evolution results should be useful to study the evolution pattern of pathogenic bacteria.
Environmental Noise Classification and Cancellation using Fuzzy Classifier and Fuzzy Adaptive Filters
T. Meera Devi,N. Kasthuri,A. M. Natarajan
International Journal of Computer Science Issues , 2012,
Abstract: The background noise is one of the major factors, which adversely affects the perceived grade of service in audio communication systems. The main problem in most of the environmental noise reduction system is source of noise signal which is to be used as a reference signal. Once the noise source is known then the noise elimination process will become easier. In any environmental conditions, predominant noise signal which is corrupting the original speech signal can be identified using neural network classification. In conventional gradient-based learning algorithms, tuning methods need to be differentiable and it leads to slow in convergence and if the noise is nonlinear, it will not provide a good generalization performance. To overcome this, an automatic noise reduction system is proposed which is an integration of fuzzy classifier and fuzzy adaptive filter.
STUDIES ON LINEARTY AND ASSAY USING RP-HPLC AND UV-VISIBLE SPECTROSCOPY FOR THE DRUGS OXCARBAZEPINE AND PIOGLITAZONE BEFORE AND AFTER EXPIRY PERIOD
S. Suganya, A. Bright and T.S. Renuga Devi*
International Journal of Pharmaceutical Sciences and Research , 2012,
Abstract: The standard for stability and quality of drugs for approval of marketing, are assured by testing and systematic evaluation using different analytical techniques. The drugs are tested in pharma analytical lab involving analysts associated spectra, chromatogram etc , and the results are analyzed leading to fixation of expiry dates. Once the drug crosses its expiry period, its potency is lost and it deteriorates, not only decreasing in therapeutic activity but also turning to be toxic. In the present investigation RP-HPLC and UV-Visible spectroscopic methods are employed for estimation of drugs oxcarbazepine and pioglitazone in tablet dosage form before expiry period and 10-12 months after its expiry. Chromatography was carried out on a C-18 column using a mobile phase of 0.05M KH2PO4 and 0.5 ml Triethylamine buffer solution: methanol: acetonitrile (60:20:20 v/v) for oxcarbazepine. The flow rate was 1ml/min with detection at 254nm. For pioglitazone a mobile phase of 0.02 M KH2PO4 buffer: acetonitrile (50:50v/v) was used. The flow rate was 2ml/min with detection at 270nm.The calibration curves obtained using HPLC method was linear in the range 160 - 240μgml-1 for oxcarbazepine and 170-280 μgml-1 for pioglitazone. The calibration curves obtained using UV-Visible spectroscopy was linear in the range 10-30 μgml-1 for oxcarbazepine and 10-34 μgml-1 for pioglitazone. Assays of oxcarbazepine found using HPLC technique before expiry was 152.05mg/tablet and after expiry were 138.50mg/tablet. For pioglitazone, before expiry it was 30.85mg/tablet and after expiry 27.60mg/tablet. This was substantiated using UV-Visible spectroscopy.
Constraining Thawing Dark Energy using Galaxy Cluster Number Counts
N. Chandrachani Devi,T. Roy Choudhury,Anjan A. Sen
Physics , 2011, DOI: 10.1093/mnras/stt570
Abstract: We study the formation of galaxy clusters in the presence of thawing class of scalar field dark energy. We consider cases where the scalar field has canonical as well non canonical kinetic term in its action. We also consider various form for the potential of the scalar field e.g, linear, quadratic, inverse quadratic, exponential as well as Pseudo-Nambu-Goldstone Boson (PNGB) type. Moreover we investigate situation where dark energy is homogeneous as well as the situation where dark energy takes part in virialization process. We use the Sheth-Tormen formalism while calculating the number density of galaxy clusters. Our results show that cluster number density for different dark energy models have significant deviation from the corresponding value for the $\Lambda$CDM case. The deviation is more for higher redshifts. Moreover the tachyon type scalar field with linear potential has the highest deviation from the $\Lambda$CDM case. For the total cluster number counts, different dark energy models can have substantial deviation from $\Lambda$CDM and this deviation is most significant around $z \sim 0.5$ for all the models we considered. We also constrain thawing class of models using the presently available data for number counts of massive X-ray clusters. The results show that current cluster data is not suitable enough for constraining potentials for the thawing scalar fields as well as for other cosmological parameters like $n_{s}$. But one can get significant constraint for the parameter $\sigma_{8}$ and a lower bound on $\Omega_{m0}$.
PERFORMANCE COMPARISION OF ENVIRONMENTAL NOISE MODELLING USING HIDDEN MARKOV MODEL AND FUZZY HIDDEN MARKOV MODEL
T.Meera Devi,,Dr.N.Kasthuri,,Dr.A.M.Natarajan
International Journal of Engineering Science and Technology , 2011,
Abstract: Signal model can provide the basis for the theoretical description of a signal processing system. The signal models are used to learn about the signal source when it is unavailable. Also these models are used to realize many practical systems. In this paper environmental noise signals are modelled and these modelled noise signals can be used as a reference noise signal for the noise cancellation system when the type of noise is not known priori. In this work, an approach to model the environmental noises using Hidden Markov Model (HMM) and Fuzzy Hidden Markov models (FHMM) are used and thereby use the modelled noise as reference noise input for cancelling the encountered noise using Fuzzy Recursive Least Square algorithm (FRLS) is proposed. The system is tested for various noises like horn noises from bus, car and babble noise. The performance of both the algorithms is compared. Experimental results show that Fuzzy Recursive Least Square algorithm with reference noise from fuzzy HMM based modelled noise provides 33% better performance than Recursive Least Square algorithm with reference noise from HMM based modelled noise.
A Novel Encryption scheme based on Double Based Canonical Number System
A.Chandra Sekhar,Ch.Suneetha,T.Surendra,S.Uma Devi
International Journal of Engineering Science and Technology , 2010,
Abstract: Cryptography is the study of mathematical techniques related to aspects of information security such as confidentiality, data integrity, entity authentication, and data origin authentication. Recently, a non-standard number representation, called Double Base Number System (DBNS) has found application in cryptography. In traditional number systems, there is one radix used to represent numbers.For example in decimal systems, numbers are expressed as sum of powers of 10. In DBNS numbers are represented as sum of product of powers of 2 radices. In the present paper, a cryptographic scheme is proposed using Double Based Canonical Number System .
DYNAMIC OF PRODUCTIVITY IN LOWER MANAIR DAM (LMD) AND KAKATIYA CANAL (KC) KARIMNAGAR, ANDHRAPRADESH, INDIA
U Anitha Devi1, 2, T Ugandhar3 and M A Singara Charya1
Bioscience Discovery , 2013,
Abstract: Primary productivity (Gross and Net) and respiratory consumption in Kakatiya Canal and Lower Manair Dam was carried out during July 1999 to June 2001 and recorded the maximum gross primary productivity at site-V (0.663 g/cm3/h) and minimum at site-VIII (0.120 g/cm3/h). In general the maximum gross primary productivity values were during summer months. The minimum and maximum net primary productions were at site-I (0.060 g/cm3 /h) and (0.301 g/cm3/h) with an average value of 0.153 g/cm3/h. The net primary production values were positive in all the sites which explains photosynthetic activity of production is dominant over respiratory consumption. The average respiratory consumption values were 0.120, 0.135. 0.115 and 0.120 g/cm3/h in sites 1, 11, 111, and IV. The P/R ratio fluctuated between 0.70 to 5.003 during 1999 to 2000 while it was 0.749 to 4.682 during 2000 to 2001.
Hypoglycemic Effect of Ficus microcarpa Leaves (Chinese Banyan) on Alloxan-induced Diabetic Rats
K. Asok Kumar,M. Uma Maheswari,A.T. Sivashanmugam,V. Subhadra Devi
Journal of Biological Sciences , 2007,
Abstract: The ethanolic extract of Ficus microcarpa L. leaves (EEFML) was evaluated for its hypoglycaemic activity against alloxan-induced diabetes. Diabetes was induced by intraperitoneal injection of alloxan (150 mg kg-1, body weight). EEFML was administered at 100 and 200 mg kg-1 body weight orally for 14 days. The blood glucose was estimated on 0, 7 and 15 days of drug treatment. Glibenclamide (5 mg kg-1) served as positive control. Other parameters such as serum cholesterol, triglycerides, HDL, LDL, VLDL, liver antioxidant enzymes (CAT, SOD, GPx) and TBARS levels were also estimated. Biochemical observations were supplemented with histopathological examination of pancreas. Administration of 200 mg kg-1 of EEFML significantly (p<0.001) reduced the amount of blood glucose (101.5±8.58 mg dL-1) when compared to diabetic control (266.91±15.44 mg dL-1). A decrease in TBARS and an increase in GPx, SOD and CAT levels clearly demonstrated the antioxidant property of EEFML. An increase in HDL and reduction in triglycerides, total cholesterol, LDL and VLDL of EEFML-treated groups against diabetic control evidenced its hypolipoproteinemic activity. These results reveal the beneficial role of Ficus microcarpa leaves as a potential hypoglycaemic agent against alloxan-induced diabetes mellitus in rats, which may be attributed to the increased levels of antioxidant enzymes and also by preserving the pancreatic β-cell integrity as evidenced by histopathological studies.
Ecthyma gangrenosum: A rare cutaneous manifestation caused by pseudomonas aeruginosa without bacteraemia in a leukaemic patient- A case report
Singh T,Devi K,Devi K
Indian Journal of Medical Microbiology , 2005,
Abstract: Ecthyma gangrenosum is a rare and invasive cutaneous infection caused by Pseudomonas aeruginosa in the majority of cases, typically affecting immunocompromised patients, particularly those with neutropenia. We report a rare case of ecthyma gangrenosum in the absence of bacteraemia presenting as a solitary necrotic ulcer in a female patient with acute lymphoblastic leukaemia. A culture from the ecthyma lesion revealed the presence of Pesudomonas aeruginosa , but the results of repeated blood cultures were negative. The patient responded well to amikacin to which the isolate was susceptible in vitro . Considering high rate of mortality, early diagnosis and prompt effective treatment is mandatory.
IDENTIFICATION OF ACUTE APPENDICITIS USING EUCLIDEAN DISTANCE ON SONOGRAPHIC IMAGE
R. Balu,,T. Devi
International Journal of Innovative Technology and Creative Engineering , 2011,
Abstract: Acute Abdomen is defined as a syndrome induced by a wide variety of pathological conditions that require emergent medical or more often surgical management. The cardinal presenting symptom is abdominal pain which has many underlying causes. Over the past 10 years, sonography has gained acceptance for examining patients with acute abdominal pain. Sonography is dynamic, noninvasive, rapid, inexpensive, and readily accessible. It is very tedious and time consuming to analyze the sonographic images manually. The authors propose a novel method for diagnosing acute appendicitis using Euclidean distance measures. This paper details the image mining system that automates the diagnosis of acute appendicitis with significant speed up, experimentation methods, real data used for testing and the result.
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