Light Curve Solutions of Eclipsing Binaries in SMC

We propose a procedure for light-curve solution of eclipsing binary stars in the Small Magellanic Cloud for which photometric data have been obtained in the framework of the OGLE project as well as way of determination of the global stellar parameters on the basis of the obtained solutions, some empirical relations as well as the distance to the SMC. Several examples illustrate this procedure.Comment: 10 pages, 2 figures, accepte

Image Segmentation for Animal Images using Finite Mixture of Pearson Type VI Distribution

Image Segmentation is one of the significant tool for analyzing images, the feature vector of the images are different for different types of images. In remote sensing, Environmental ecological systems, forest studies, conservation of rare animals, the animal images are more important. In this paper we developed and analyze an image segmentation algorithm using mixture of Pearson Type VI Distribution. The Pearsonian Type VI Distribution will characterize the image regions of animal images. The appropriateness Pearsonian Type VI distribution for the pixel intensities of image region in animal images is carried by fitting Pearsonian Type VI Distribution to set of animal images taken from Berkeley image data set. The image segmentation algorithm is developed using EM algorithm for estimating the parameters of the model and maximum likelihood for image component under Bayesian framework. For fast convergence of EM algorithm the initial estimates of the model parameters are obtained by dividing the whole image into K image regions using K-means and Hierarchical clustering algorithm and utilizing the moment method of estimates. The performance of proposed algorithm is studied by conducting an experiment with set of animal images and computing image quality metrics such as PRI, GCE and VOI. A comparative study of developed image segmentation by Gaussian Mixture model and found the proposed algorithm performed better for animal images due to asymmetrically distributed nature of pixel intensities in the image regions

Estimation of the growth curve parameters in Macrobrachium rosenbergii

Growth is one of the most important characteristics of cultured species. The objective of this study was to determine the fitness of linear, log linear, polynomial, exponential and Logistic functions to the growth curves of Macrobrachium rosenbergii obtained by using weekly records of live weight, total length, head length, claw length, and last segment length from 20 to 192 days of age. The models were evaluated according to the coefficient of determination (R2), and error sum off square (ESS) and helps in formulating breeders in selective breeding programs. Twenty full-sib families consisting 400 PLs each were stocked in 20 different hapas and reared till 8 weeks after which a total of 1200 animals were transferred to earthen ponds and reared up to 192 days. The R2 values of the models ranged from 56 – 96 in case of overall body weight with logistic model being the highest. The R2 value for total length ranged from 62 to 90 with logistic model being the highest. In case of head length, the R2 value ranged between 55 and 95 with logistic model being the highest. The R2 value for claw length ranged from 44 to 94 with logistic model being the highest. For last segment length, R2 value ranged from 55 – 80 with polynomial model being the highest. However, the log linear model registered low ESS value followed by linear model for overall body weight while exponential model showed low ESS value followed by log linear model in case of head length. For total length the low ESS value was given by log linear model followed by logistic model and for claw length exponential model showed low ESS value followed by log linear model. In case of last segment length, linear model showed lowest ESS value followed by log linear model. Since, the model that shows highest R2 value with low ESS value is generally considered as the best fit model. Among the five models tested, logistic model, log linear model and linear models were found to be the best models for overall body weight, total length and head length respectively. For claw length and last segment length, log linear model was found to be the best model. These models can be used to predict growth rates in M. rosenbergii. However, further studies need to be conducted with more growth traits taken into consideratio

Modeling of Turbulent Flows and Boundary Layer

Non

Effect of Hall Currents, Thermal Radiation Convective Heat Transfer Flow of a Rotating Nano-Fluid Past a Vertical Plate with Oscillatory Wall Velocity

We investigate the effect of thermal radiation and oscillatory wall velocity on unsteady convective heat transfer flow of a nanofluid past a vertical plate in the presence of heat generating sources. Analytical closed form solutions are obtained for both the momentum and the energy equations using the regular perturbation method. Graphs are used to illustrate the significance of key parameters on the nanofluid velocity and temperature distributions. Keywords: Thermal Radiation, Heat transfer, Nanofluid, Vertical Plat

HIV/Aids epidemic in India and predicting the impact of the national response: mathematical modeling and analysis

After two phases of AIDS control activities in India, the third phase of the National AIDS Control Programme (NACP III) was launched in July 2007. Our focus here is to predict the number of people living with HIV/AIDS (PLHA) in India so that the results can assist the NACP III planning team to determine appropriate targets to be activated during the project period (2007-2012). We have constructed a dynamical model that captures the mixing patterns between susceptibles and infectives in both low-risk and high-risk groups in the population. Our aim is to project the HIV estimates by taking into account general interventions for susceptibles and additional interventions, such as targeted interventions among high risk groups, provision of anti-retroviral therapy, and behavior change among HIV-positive individuals. Continuing the current level of interventions in NACP II, the model estimates there will be 5.06 million PLHA by the end of 2011. If 50 percent of the targets in NACP III are achieved by the end of the above period then about 0.8 million new infections will be averted in that year. The current status of the epidemic appears to be less severe compared to the trend observed in the late 1990s. The projections based on the second phase and the third phase of the NACP indicate prevention programmes which are directed towards the general and high-risk populations, and HIV-positive individuals will determine the decline or stabilization of the epidemic. Model based results are derived separately for the revised HIV estimates released in 2007. We perform a Monte Carlo procedure for sensitivity analysis of parameters and model validation. We also predict a positive role of implementation of anti-retroviral therapy treatment of 90 percent of the eligible people in the country. We present methods for obtaining disease progression parameters using convolution approaches. We also extend our models to age-structured populations

Image Segmentation Based on Doubly Truncated Generalized Laplace Mixture Model and K Means Clustering

The present paper aims at performance evaluation of Doubly Truncated Generalized Laplace Mixture Model and K-Means clustering (DTGLMM-K) for image analysis concerned to various practical applications like security, surveillance, medical diagnostics and other areas. Among the many algorithms designed and developed for image segmentation the dominance of Gaussian Mixture Model (GMM) has been predominant which has the major drawback of suiting to a particular kind of data. Therefore the present work aims at development of DTGLMM-K algorithm which can be suitable for wide variety of applications and data. Performance evaluation of the developed algorithm has been donethrough various measures like Probabilistic Rand index (PRI), Global Consistency Error (GCE) and Variation of Information (VOI). During the current work case studies forvarious different images having pixel intensities has been carried out and the obtained results indicate the superiority of the developed algorithm for improved image segmentation

Job Satisfaction and Expectations of LIS Professionals in India: A study

Psychological aspects are always playing vital roles in any field of work. Being a service sector, the satisfaction level of Library and Information professionals has a direct impact on the services which are rendered to users. In the purview of this aspect, authors have tried to assess the level job satisfaction and expectations of Library and Information Science professionals from the Indian original aspects

Formulation And Evaluation of Biodegradable Polymer Triple Layer Coated Multiparticulate System For Colon Targeting

Abstract: In this present research work, the aim was to develop extended on targeted triple layer coated pellets filled capsule system of Curcumin for chronotherapeutic treatment of colon cancer. Materials and Methods: So triple layer coated pellets of curcumin were prepared using pH sensitive polymers by using fluidized bed dryer which was further filled into an empty gelatin capsule. The compatibility was assessed using FT-IR, DSC and SEM studies for pure drug, polymers and their physical mixtures. Results and Discussion: The prepared batches were subjected to physicochemical studies, drug content estimation, in-vitro drug release and stability studies. When FT-IR, DSC and SEM studies were performed, it was found that there was no interaction between curcumin and polymers used. The physicochemical properties of the entire prepared triple layer coated pellets batches were found to be in limits. The drug content percentage in the optimized formulation C9 was found to be 99.86± 0.02%. The optimized triple layer coated pellets-filled-capsule formulation C9 releases curcumin after a lag time of 3.14 ± 1.58, 17.48 ±0.03%, 68.72 ± 0.86%, and 98.46± 0.34% at the end of 2, 5, 9, and 12 h respectively. Conclusion: Thus, a novel colon targeted delivery system of curcumin was successfully developed by filling triple layer coated pellets into an empty gelatin capsule shell for targeting colon cancer treatment

DEVELOPMENT OF ANALYTICAL METHOD FOR THE DETERMINATION OF NINHYDRIN-POSITIVE SUBSTANCES IN AMINO ACIDS BY HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY

Aim and Objectives: The aim of the work is focused on the optimization of the high-performance liquid chromatography (HPLC) method for the determination of ninhydrin-positive substances in amino acids using HPLC technique in a single method. Since, most of the amino acids are widely used in the determination of Renal and Nutrition drug products exist independently in the monograph for each amino acid either by TLC or HPLC.Methods: The chromatographic separation was performed using sodium amino acid analysis cation exchange column using Sodium Eluent Na 315, Sodium eluent Na 425, and Sodium Eluent Na 640 as Mobile phase, performed by gradient program with detection of wavelength 570 nm using flow rate as 0.4 mL/min. The method has been evaluated using post-column derivatization technique (HPLC/Pinnacle PCX).Results: All the amino acids were eluted correspondingly at the individual retention time and the method shall be validated as per the ICH Q2R1 Guideline.Conclusion: The method has been successfully evaluated and developed for the analytical applications