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Search Results: 1 - 10 of 200651 matches for " Hitisha P. Zaveri "
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Novel Frem1-Related Mouse Phenotypes and Evidence of Genetic Interactions with Gata4 and Slit3
Tyler F. Beck, Oleg A. Shchelochkov, Zhiyin Yu, Bum Jun Kim, Andrés Hernández-García, Hitisha P. Zaveri, Colin Bishop, Paul A. Overbeek, David W. Stockton, Monica J. Justice, Daryl A. Scott
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0058830
Abstract: The FRAS1-related extracellular matrix 1 (FREM1) gene encodes an extracellular matrix protein that plays a critical role in the development of multiple organ systems. In humans, recessive mutations in FREM1 cause eye defects, congenital diaphragmatic hernia, renal anomalies and anorectal malformations including anteriorly placed anus. A similar constellation of findings–microphthalmia, cryptophthalmos, congenital diaphragmatic hernia, renal agenesis and rectal prolapse–have been described in FREM1-deficient mice. In this paper, we identify a homozygous Frem1 missense mutation (c.1687A>T, p.Ile563Phe) in an N-ethyl-N-nitrosourea (ENU)-derived mouse strain, crf11, with microphthalmia, cryptophthalmos, renal agenesis and rectal prolapse. This mutation affects a highly conserved residue in FREM1’s third CSPG domain. The p.Ile563Phe change is predicted to be deleterious and to cause decreased FREM1 protein stability. The crf11 allele also fails to complement the previously described eyes2 allele of Frem1 (p.Lys826*) providing further evidence that the crf11 phenotype is due to changes affecting Frem1 function. We then use mice bearing the crf11 and eyes2 alleles to identify lung lobulation defects and decreased anogenital distance in males as novel phenotypes associated with FREM1 deficiency in mice. Due to phenotypic overlaps between FREM1-deficient mice and mice that are deficient for the retinoic acid-responsive transcription factor GATA4 and the extracellular matrix protein SLIT3, we also perform experiments to look for in vivo genetic interactions between the genes that encode these proteins. These experiments reveal that Frem1 interacts genetically with Gata4 in the development of lung lobulation defects and with Slit3 in the development of renal agenesis. These results demonstrate that FREM1-deficient mice faithfully recapitulate many of the phenotypes seen in individuals with FREM1 deficiency and that variations in GATA4 and SLIT3 expression modulate some FREM1-related phenotypes in mice.
Identification of Critical Regions and Candidate Genes for Cardiovascular Malformations and Cardiomyopathy Associated with Deletions of Chromosome 1p36
Hitisha P. Zaveri, Tyler F. Beck, Andrés Hernández-García, Katharine E. Shelly, Tara Montgomery, Arie van Haeringen, Britt-Marie Anderlid, Chirag Patel, Himanshu Goel, Gunnar Houge, Bernice E. Morrow, Sau Wai Cheung, Seema R. Lalani, Daryl A. Scott
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0085600
Abstract: Cardiovascular malformations and cardiomyopathy are among the most common phenotypes caused by deletions of chromosome 1p36 which affect approximately 1 in 5000 newborns. Although these cardiac-related abnormalities are a significant source of morbidity and mortality associated with 1p36 deletions, most of the individual genes that contribute to these conditions have yet to be identified. In this paper, we use a combination of clinical and molecular cytogenetic data to define five critical regions for cardiovascular malformations and two critical regions for cardiomyopathy on chromosome 1p36. Positional candidate genes which may contribute to the development of cardiovascular malformations associated with 1p36 deletions include DVL1, SKI, RERE, PDPN, SPEN, CLCNKA, ECE1, HSPG2, LUZP1, and WASF2. Similarly, haploinsufficiency of PRDM16–a gene which was recently shown to be sufficient to cause the left ventricular noncompaction–SKI, PRKCZ, RERE, UBE4B and MASP2 may contribute to the development of cardiomyopathy. When treating individuals with 1p36 deletions, or providing prognostic information to their families, physicians should take into account that 1p36 deletions which overlie these cardiac critical regions may portend to cardiovascular complications. Since several of these cardiac critical regions contain more than one positional candidate gene–and large terminal and interstitial 1p36 deletions often overlap more than one cardiac critical region–it is likely that haploinsufficiency of two or more genes contributes to the cardiac phenotypes associated with many 1p36 deletions.
MDS and Trilateration Based Localization in Wireless Sensor Network  [PDF]
Shailaja Patil, Mukesh Zaveri
Wireless Sensor Network (WSN) , 2011, DOI: 10.4236/wsn.2011.36023
Abstract: Localization of sensor nodes is crucial in Wireless Sensor Network because of applications like surveillance, tracking, navigation etc. Various optimization techniques for localization have been proposed in literature by different researchers. In this paper, we propose a two phase hybrid approach for localization using Multidi- mensional Scaling and trilateration, namely, MDS with refinement using trilateration. Trilateration refines the estimated locations obtained by the MDS algorithm and hence acts as a post optimizer which improves the accuracy of the estimated positions of sensor nodes. Through extensive simulations, we have shown that the proposed algorithm is more robust to noise than previous approaches and provides higher accuracy for estimating the positions of sensor nodes.
K-Means Graph Database Clustering and Matching for Fingerprint Recognition  [PDF]
Vaishali Pawar, Mukesh Zaveri
Intelligent Information Management (IIM) , 2015, DOI: 10.4236/iim.2015.74019
Abstract: The graph can contain huge amount of data. It is heavily used for pattern recognition and matching tasks like symbol recognition, information retrieval, data mining etc. In all these applications, the objects or underlying data are represented in the form of graph and graph based matching is performed. The conventional algorithms of graph matching have higher complexity. This is because the most of the applications have large number of sub graphs and the matching of these sub graphs becomes computationally expensive. In this paper, we propose a graph based novel algorithm for fingerprint recognition. In our work we perform graph based clustering which reduces the computational complexity heavily. In our algorithm, we exploit structural features of the fingerprint for K-means clustering of the database. The proposed algorithm is evaluated using realtime fingerprint database and the simulation results show that our algorithm outperforms the existing algorithm for the same task.
Evolution of multispectral aerosol optical properties in a biogenically-influenced urban environment during the CARES campaign
M. Gyawali,W. P. Arnott,R. A. Zaveri,C. Song
Atmospheric Chemistry and Physics Discussions , 2013, DOI: 10.5194/acpd-13-7113-2013
Abstract: Ground-based aerosol measurements made in June 2010 within Sacramento urban area (site T0) and at a 40-km downwind location (site T1) in the forested Sierra Nevada foothills area are used to investigate the evolution of multispectral optical properties as the urban aerosols aged and interacted with biogenic emissions. Along with black carbon and non-refractory aerosol mass and composition observations, spectral absorptio (βabs), scattering (βsca), and extinction (βext) coefficients for wavelengths ranging from 355 to 1064 nm were measured at both sites using photoacoustic (PA) instruments with integrating nephelometers and using cavity ring-down (CRD) instruments. The daytime average ngstr m exponent of absorption (AEA) was ~1.6 for the wavelength pair 405 and 870 nm at T0, while it was ~1.8 for the wavelength pair 355 and 870 nm at T1, indicating a modest wavelength-dependent enhancement of absorption at both sites throughout the study. The measured and Mie theory calculations of multispectral βsca showed good correlation (R2=0.85–0.94). The average contribution of supermicron aerosol (mainly composed of sea salt particles advected in from the Pacific Ocean) to the total scattering coefficient ranged from less than 20% at 405 nm to greater than 80% at 1064 nm. From 22 to 28 June, secondary organic aerosol mass increased significantly at both sites due to increased biogenic emissions coupled with intense photochemical activity and air mass recirculation in the area. During this period, the short wavelength scattering coefficients at both sites gradually increased due to increase in the size of submicron aerosols. At the same time, BC mass-normalized absorption cross-section (MAC) values for ultraviolet wavelengths at T1 increased by ~60% compared to the relatively less aged urban emissions at the T0 site. In contrast, the average MAC values for 870 nm wavelength were identical at both sites. These results suggest formation of moderately brown secondary organic aerosols formed in biogenically-influenced urban air.
Jitendra Zaveri
National Journal of Medical Research , 2012,
Abstract: Objective: Objective of the present study is to determine the knowledge, attitude, and practice of universal work precautions amongst medical laboratory technicians in private hospitals. Methodology: Cross-sectional study of health care workers was conducted using a pretested self-administered questionnaire, which enquired about knowledge, attitude and practices of universal work precautions. The hepatitis B vaccination statuses were also asked. Results: 200 questionnaires were administered to laboratory technicians and 154 of them were returned giving a response rate of 77%. All the participants wear gloves during laboratory work but 81.2% wear a single pair. 17.5 % of the participants claimed to know what to do if exposed to infection. 45.6% of the participants eat in the laboratory, 47.0% of them store foods and water in the refrigerators, 31.5% of them put on cosmetics in the laboratory, 12.6% smoke in the laboratory, 10.0% cut their finger nails with teeth in the laboratory. 91.5% are not immunized against hepatitis B virus (HBV). 99.0% of them do not take shower immediately after laboratory work. 82.0% of the participants do not feel that the use of masks is necessary in laboratory. Conclusion: It is concluded that the knowledge, attitude, perception, and compliance with universal work precautions amongst laboratory technicians are poor. [National J of Med Res 2012; 2(1.000): 113-115]
Automatic Classification of Unstructured Blog Text  [PDF]
Mita K. Dalal, Mukesh A. Zaveri
Journal of Intelligent Learning Systems and Applications (JILSA) , 2013, DOI: 10.4236/jilsa.2013.52012
Abstract: Automatic classification of blog entries is generally treated as a semi-supervised machine learning task, in which the blog entries are automatically assigned to one of a set of pre-defined classes based on the features extracted from their textual content. This paper attempts automatic classification of unstructured blog entries by following pre-processing steps like tokenization, stop-word elimination and stemming; statistical techniques for feature set extraction, and feature set enhancement using semantic resources followed by modeling using two alternative machine learning models—the na?ve Bayesian model and the artificial neural network model. Empirical evaluations indicate that this multi-step classification approach has resulted in good overall classification accuracy over unstructured blog text datasets with both machine learning model alternatives. However, the na?ve Bayesian classification model clearly out-performs the ANN based classification model when a smaller feature-set is available which is usually the case when a blog topic is recent and the number of training datasets available is restricted.

Census and Segmentation-Based Disparity Estimation Algorithm Using Region Merging  [PDF]
Viral H. Borisagar, Mukesh A. Zaveri
Journal of Signal and Information Processing (JSIP) , 2015, DOI: 10.4236/jsip.2015.63018
Abstract: Disparity estimation is an ill-posed problem in computer vision. It is explored comprehensively due to its usefulness in many areas like 3D scene reconstruction, robot navigation, parts inspection, virtual reality and image-based rendering. In this paper, we propose a hybrid disparity generation algorithm which uses census based and segmentation based approaches. Census transform does not give good results in textureless areas, but is suitable for highly textured regions. While segment based stereo matching techniques gives good result in textureless regions. Coarse disparities obtained from census transform are combined with the region information extracted by mean shift segmentation method, so that a region matching can be applied by using affine transformation. Affine transformation is used to remove noise from each segment. Mean shift segmentation technique creates more than one segment of same object resulting into non-smoothness disparity. Region merging is applied to obtain refined smooth disparity map. Finally, multilateral filtering is applied on the disparity map estimated to preserve the information and to smooth the disparity map. The proposed algorithm generates good results compared to the classic census transform. Our proposed algorithm solves standard problems like occlusions, repetitive patterns, textureless regions, perspective distortion, specular reflection and noise. Experiments are performed on middlebury stereo test bed and the results demonstrate that the proposed algorithm achieves high accuracy, efficiency and robustness.
Altered Network Timing in the CA3-CA1 Circuit of Hippocampal Slices from Aged Mice
Daniel J. Kanak, Gregory M. Rose, Hitten P. Zaveri, Peter R. Patrylo
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0061364
Abstract: Network patterns are believed to provide unique temporal contexts for coordinating neuronal activity within and across different regions of the brain. Some of the characteristics of network patterns modeled in vitro are altered in the CA3 or CA1 subregions of hippocampal slices from aged mice. CA3–CA1 network interactions have not been examined previously. We used slices from aged and adult mice to model spontaneous sharp wave ripples and carbachol-induced gamma oscillations, and compared measures of CA3–CA1 network timing between age groups. Coherent sharp wave ripples and gamma oscillations were evident in the CA3–CA1 circuit in both age groups, but the relative timing of activity in CA1 stratum pyramidale was delayed in the aged. In another sample of aged slices, evoked Schaffer collateral responses were attenuated in CA3 (antidromic spike amplitude) and CA1 (orthodromic field EPSP slope). However, the amplitude and timing of spontaneous sharp waves recorded in CA1 stratum radiatum were similar to adults. In both age groups unit activity recorded juxtacellularly from unidentified neurons in CA1 stratum pyramidale and stratum oriens was temporally modulated by CA3 ripples. However, aged neurons exhibited reduced spike probability during the early cycles of the CA3 ripple oscillation. These findings suggest that aging disrupts the coordination of patterned activity in the CA3–CA1 circuit.
Quantitative Determination of Etoricoxib and Paracetamol in Pharmaceutical Dosage Form and in-vitro comparison by Reversed-Phase High Performance Liquid Chromatography (RP-HPLC)
Maitreyi Zaveri,Amit Khandhar
International Journal of Advances in Pharmaceutical Sciences , 2011, DOI: 10.5138/168
Abstract: The objective of this present work was to develop and validate analytical method for quantitative determination of Paracetamol and Etoricoxib in a tablet formulation and also the comparison of invitro data with reference dosage form. Chromatographic separations of the two drugs were analyzed on a Kromasil C18 column (25cm X 4.6mm, 5μm). The mobile phase constituted of Buffer: Acetonitirile with gradient program was delivered at the flow rate 1.0 mL/min. Detection was performed at 220 nm. Separation was completed within 20 min. Calibration curves were linear with coefficient correlation between 0.99 to 1.0 over a concentration range of 48 to 146 μg/mL of Paracetamol and 6 to 19 μg/mL for Etoricoxib respectively. The relative standard deviation (R.S.D) was found to be less than 2.0%. Analysis for dissolution study was also performed by Reversed-Phase High Performance Liquid Chromatography (RP-HPLC) method. Difference factor (f1) were found to be 2.85 and 3.83 and similarity factor (f2) were found to be 73.514 and 68.961 for Paracetamol and Etoricoxib respectively. Keywords: Paracetamol; Etoricoxib; RP-HPLC; In-vitro; Dissolution; HPLC; COX 2.
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