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Search Results: 1 - 10 of 200998 matches for " Smita P. Wangikar "
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Automatic detection of pulse morphology patterns & cardiac risks  [PDF]
Rajani R. Joshi, Ganesh B. Nawsupe, Smita P. Wangikar
Journal of Biomedical Science and Engineering (JBiSE) , 2012, DOI: 10.4236/jbise.2012.56041
Abstract: Analysis of arterial pulse waveforms is important for non-invasive diagnosis of cardiovascular functions. Large samples of IPG signal records of radial arterial pulse show presence of eight different types of shapes (morphological patterns) in the pulse waveforms. In this paper we present an efficient computational method for automatic identification of these morphological patterns. Our algorithm uses likelihood ratio of cumulative periodogram of pulse signals and some geometrical criteria. The algorithm is presented with necessary details on signal processing aspects. Results for a large sample of pulse records of adult Indian subjects show high accuracy of our algorithm in detecting pulse-morphology patterns. Variation of pulse-morphology with respect to time is also analyzed using this algorithm. We have identified some characteristic features of pulse-morphology variation in patients of certain cardiac problems, hypertension, and diabetes. These are found relevant and significant in terms of physiological interpretation of the associated shapes of pulse waveforms. Importance of these findings is highlighted along with discussion on overall scope of our study in automatic analysis of heart rate variability and in other applications for non-invasive prognosis/diagnosis.
Gene regulatory network modeling via global optimization of high-order dynamic Bayesian network
Xuan Vinh Nguyen, Madhu Chetty, Ross Coppel, Pramod P Wangikar
BMC Bioinformatics , 2012, DOI: 10.1186/1471-2105-13-131
Abstract: To overcome the above difficulties, we introduce here a deterministic global optimization based DBN approach for reverse engineering genetic networks from time course gene expression data. For such DBN models that consist only of inter time slice arcs, we show that there exists a polynomial time algorithm for learning the globally optimal network structure. The proposed approach, named GlobalMIT+, employs the recently proposed information theoretic scoring metric named mutual information test (MIT). GlobalMIT+ is able to learn high-order time delayed genetic interactions, which are common to most biological systems. Evaluation of the approach using both synthetic and real data sets, including a 733 cyanobacterial gene expression data set, shows significantly improved performance over other techniques.Our studies demonstrate that deterministic global optimization approaches can infer large scale genetic networks.
Hierarchical amino acid utilization and its influence on fermentation dynamics: rifamycin B fermentation using Amycolatopsis mediterranei S699, a case study
Prashant M Bapat, Debasish Das, Sujata V Sohoni, Pramod P Wangikar
Microbial Cell Factories , 2006, DOI: 10.1186/1475-2859-5-32
Abstract: Stoichiometric coefficients and kinetic parameters of the model were estimated experimentally for Amycolatopsis mediterranei S699, a rifamycin B overproducer. The model was then used to predict the uptake kinetics in a medium containing cas amino acids. In contrast to the other amino acids, the uptake of proline was not affected by the carbon or nitrogen catabolite repression in this strain. The model accurately predicted simultaneous uptake of amino acids at low cas concentrations and sequential uptake at high cas concentrations. The simulated profile of the key enzymes implies the presence of specific transporters for small groups of amino acids.The work demonstrates utility of the cybernetic model in predicting the sequence and kinetics of amino acid uptake in a case study involving Amycolatopsis mediterranei, an industrially important organism. This work also throws some light on amino acid transporters and their regulation in A. mediterranei .Further, cybernetic model based experimental strategy unravels formation and utilization of ammonia as well as its inhibitory role during amino acid uptake. Our results have implications for model based optimization and monitoring of other industrial fermentation processes involving complex nitrogen substrate.Majority of the industrial fermentations employ a batch or a fed batch process with complex media that offers multiple substitutable substrates [1]. The batch process goes through several distinct phases of fermentation during the batch cycle. Even small changes in the substrate concentration during the crucial phase of the batch may significantly affect the product yield and quality[2,3]. One of the major nutrient source in a complex medium is the pool of amino acids, peptides and proteins derived from the organic nitrogen substrates such as soybean flour, yeast extract, corn steep liquor, etc. Thus, it is of interest to understand the pattern of uptake of the amino acids during industrially important fermentation pr
FragKB: Structural and Literature Annotation Resource of Conserved Peptide Fragments and Residues
Ashish V. Tendulkar,Martin Krallinger,Victor de la Torre,Gonzalo López,Pramod P. Wangikar,Alfonso Valencia
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0009679
Abstract: FragKB (Fragment Knowledgebase) is a repository of clusters of structurally similar fragments from proteins. Fragments are annotated with information at the level of sequence, structure and function, integrating biological descriptions derived from multiple existing resources and text mining.
Relative Functional Comparison of Neural and Non-Neural Approaches for Syllable Segmentation in Devnagari TTS System
Smita P. Kawachale,Janardan S. Chitode
International Journal of Computer Science Issues , 2012,
Abstract: This paper presents methods for automatic speech signal segmentation using neural network. Speech signal segmentation is carried out to form syllables. Syllable is a common unit for concatenative TTS systems. Concatenative TTS being using speech segments of recorded speech is natural as compare to Formant or Articulatory TTS systems. This TTS stores small segments of speech and join them together to form new word. This helps to generate more number of words based on very small database. As manual segmentation is very time consuming and it has certain limitation on naturalness, some neural network models are used to improve naturalness of resulting segments in speech synthesis. The proposed work explains how neural network approaches like Maxnet, K-means outweighs in performance than traditional non neural approaches like slope detection and simulated annealing. About more than 90% accuracy is achieved with neural network models for syllable segmentation which resulted in naturalness improvement of Marathi TTS.
Polyetheretherketone (PEEK) Composites Reinforced with Fly Ash and Mica  [PDF]
M. Rahail Parvaiz, Smita Mohanty, Sanjay K. Nayak, P. A. Mahanwar
Journal of Minerals and Materials Characterization and Engineering (JMMCE) , 2010, DOI: 10.4236/jmmce.2010.91003
Abstract: Polyetheretherketone (PEEK) composites were developed using fly ash and mica as fillers. PEEK composites of 5-30 wt% loading were compounded using twin screw extruder. Tensile strength, tensile modulus and flexural modulus increased with the incorporation of both the fillers in PEEK matrix. Tensile modulus of PEEK fly ash composites was found to be higher than PEEK mica composites. Charpy impact strength of PEEK mica composites improved drastically up to 15 wt% of filler but in PEEK fly ash composites charpy impact strength was decreased. The effect of fly ash and mica on the percentage crystallinity of PEEK composites was studied by using modulated differential scanning calorimeter (MDSC). Limiting oxygen index (LOI) of PEEK fly ash and mica composites also improved by 11% and 24% respectively than pure PEEK at 30 wt% loading respectively. The dynamic modulus of PEEK composites shows over 133% increment at 100-250 °C, indicating improvement of elevated temperature mechanical properties. Effects of filler on the morphology of PEEK composites have also been discussed.
Morphological, Mechanical, Thermal, Electrical and Rheological Properties of Polycarbonate Composites Reinforced with Surfaces Modified Mica  [PDF]
M. Rahail Parvaiz, P. A. Mahanwar, Smita Mohanty, Sanjay K. Nayak
Journal of Minerals and Materials Characterization and Engineering (JMMCE) , 2010, DOI: 10.4236/jmmce.2010.911071
Abstract: The mica fillers reinforced Polycarbonate (PC) composites were fabricated using compression molding technique. The mica surface was chemically modified using vinyltrimethoxy silane and 3–Aminopropyltriethoxy silane. The properties of treated mica PC composites were examined in terms of scanning electron microscopy, thermo gravimetric analysis, differential scanning calorimetry and rheological behavior. The modified mica was observed to disperse more uniformly than the unmodified counterpart. The tensile strength and modulus also improved with treated mica filled PC composites. Polycarbonate (PC) / mica composites were prepared by twin screw extruder at 250 °C. Rheological behavior of PC/mica composites was investigated. The PC / mica composites were characterized by parallel plate rheometer system. As increasing the mica particle size and the content, storage and loss modulus of the PC / mica composites were increased.
Strong X-ray Absorption in a BALQSO: PHL5200
Smita Mathur,Martin Elvis,K. P. Singh
Physics , 1995,
Abstract: We present $\it {ASCA}$ observations of the z=1.98 prototype BALQSO: PHL5200. The source was detected in both SIS and GIS. A power-law spectrum ($\alpha_E = 0.6^{+0.9}_{-0.6}$) with large intrinsic absorption (N$_H = 1.3^{+2.3}_{-1.1} \times 10^{23}$ cm$^{-2}$) best describes the spectrum. Excess column density over the local Galactic value is required at the 99\% confidence level. This detection suggests that, although BALQSOs are X-ray quiet, it is strong absorption in the BAL region that makes them appear faint to low energy X-ray experiments. The required intrinsic absorbing column density is two to three orders of magnitude larger than earlier estimates of column densities in BALQSOs. This implies that the BAL systems are much more highly ionized than previously thought.
Solid state fermentation of pomegranate seed for lovastatin production: a bioprocessing approach  [PDF]
Azza Naik, Smita Lele
Advances in Bioscience and Biotechnology (ABB) , 2012, DOI: 10.4236/abb.2012.35083
Abstract: This study reports lovastatin production by solid state fermentation using pomegranate seeds as a substrate. Six different fungal strains and several agro-industrial wastes were selected and screened. Various physico-chemical parameters were optimized to improve lovastatin. Moreover, chemical mutation was systematically employed to enhance lovastatin yield on selected strains. Productivity of 3 ± 0.06 mg lovastatin/gm dfm was obtained prior to optimization. One factor a time followed by Response Surface Methodology (RSM) gave 4.2 ± 0.10 mg lovastatin/gm dfm yield in an optimized setup with pomegranate seed powder (5 gms), KH2PO4 (0.1% w/v), glucose (5% w/v), moisture (60% w/w), pH 5 in a 15 days fermentation cycle. The production was further increased to 6.5 ± 0.08 mg lovastatin/gm dfm through chemical mutation of the strain. This process is simple and reproducible for the production of lovastatin using pomegranate seed as an agro-industrial waste.
Ab-Initio Structural Study of SrMoO3 Perovskite  [PDF]
Avinash Daga, Smita Sharma
Journal of Modern Physics (JMP) , 2012, DOI: 10.4236/jmp.2012.312238
Abstract: The equilibrium crystal structure parameter and bulk modulus of the SrMoO3 perovskite has been calculated with ab-initio method based on density functional theory (DFT) using both local density approximation (LDA) and generalized gradient approximation (GGA). The corresponding total free energy along with its various components for SrMoO3 was obtained. The lattice parameter and bulk modulus calculated for SrMoO3 within LDA are 3.99 A and 143.025 GPa respectively whereas within GGA are 4.04 A and 146.14 GPa respectively, both agree well with the available experimental data. The total energy calculated within LDA and GGA is almost the same however lower results are obtained for GGA. All calculations have been carried out using ABINIT computer code.
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