A case of abdominal tuberculosis: a challenging diagnosis

Tuberculosis continues to intimidate the human race since traditional for an extremely long time not only due to its effects as a medical ailment, but also it impacts as a social and economic burden. Tuberculosis is a major health problem in developing countries. Abdominal tuberculosis is most common extra pulmonary tuberculosis. Tuberculosis can suspect in endemic countries like India, and can have various presentations and complications, it can mislead the diagnosis. Here, this case it involves small bowel, large bowel and peritoneum with different presentation

Mitigation of Insider Attacks through Multi-Cloud

The malicious insider can be an employees, user and/or third party business partner. In cloud environment, clients may store sensitive data about their organization in cloud data centers. The cloud service provider should ensure integrity, security, access control and confidentiality about the stored data at cloud data centers. The malicious insiders can perform stealing on sensitive data at cloud storage and at organizations. Most of the organizations ignoring the insider attack because it is harder to detect and mitigate. This is a major emerging problem at the cloud data centers as well as in organizations. In this paper, we proposed a method that ensures security, integrity, access control and confidentiality on sensitive data of cloud clients by employing multi cloud service providers. The organization should encrypt the sensitive data with their security policy and procedures and store the encrypted data in trusted cloud. The keys which are used during encryption process are again encrypted and stored in another cloud area. So that organization contains only keys for keys of encrypted data. The Administrator of organization also does not know what data kept in cloud area and if he accesses the data, easily caught during the auditing. Hence, the only authorized used can access the data and use it and we can mitigate insider attacks by providing restricted privileges

On new subclass of meromorphically convex functions with positive coefficients

In this paper we introduce and study a new subclass of meromorphically uniformly convex functions with positive coefficients defined by a differential operator and obtain coefficient estimates, growth and distortion theorem, radius of convexity, integral transforms, convex linear combinations, convolution properties and δ-neighborhoods for the class σ p (α)

A Stability indicating of Rotigotine in Bulk Drugs by HPLC Assay method

ABSTRACT A new HPLC method was developed for selective and simultaneous determination of of Rotigotine. The developed method is also applicable for the related substances determination in bulk drugs. The chromatographic separation was achieved on a Zorbax SB C-18, 4.6 x 250mm, and 5µ column. The mobile phase consisted of buffer and methanol (30:70, v/v) delivered at a flow rate of 2.0 mL min −1 . Buffers consisted of dissolve 5.22 g of dipotassium hydrogen orthophosphate in 1000 mL of water and add 2 mL of triethylamine, adjust pH to 5.5 with ortho phosphoric acid. The mobile phase was pumped at a flow rate 1.0 mL per minute and detector of UV at 225 nm. In the developed HPLC method, the resolution between Rotigotine and its potential impurities, namely Dethienyl ethyl rotigotine, Depropyl Rotigotine, Acetyl rotigotine, Methyl rotigotine, Thiophene tosyl, Dithienyl Ethyl Rotigotine, Rotigotine toluene sulphonic acid ester, Rotigotine thienyl ethyl ether and 3-Thiophene Rotigotine was found. Accuracy found by % recovery from 100.4 -100.6 at 80.0% to 120.0% level and the linearity results for Rotigotine and its related compounds in the specified concentration calibration curves linear with coefficient of variation (r) not less than 0.99 The drug was subjected to stress conditions of hydrolysis, oxidation, photolysis and thermal degradation. Result seems to be rapid degradation observed when Rotigotine sample solution exposed to heat at 105 0 C the sample was decomposed and slow degradation was observed when Rotigotine sample solution exposed to heat at 60 0 C. Considerable rapid degradation was found to occur at Oxidation conditions. The stress samples were assayed against a qualified reference standard and the mass balance was found close to 95% -105%. The developed RP-LC method was validated with respect to linearity, accuracy, precision and robustness. The validation was performed according to the current requirements as laid down in the ICH guidelines

Segmentation of Natural Images with K-Means and Hierarchical Algorithm based on Mixture of Pearson Distributions

707-715In this paper, an attempt has been made to analyze the performance of the image segmented algorithms with the addition of the Pearsonian Type III mixture model. By using the Type III Pearsonian system of distributions the image segmentation process was carried out in the current article which is a novel technique. With the help of K-component combination of Pearsonian Type III distribution, it is considered that the whole input images are characterized. The performance parameters PRI (Probabilistic Rand Index), GCE (Global Consistency Error) and VOI (Volume of Interest) for the currently considered model are estimated with the help of EM (Expectation Maximization) algorithm. For analyzing the proposed model’s performance, four random images are selected as input for the current model from Berkeley image database. The performance metric parameters PRI, GCE and VOI values given the results as the currently proposed method is providing more précise results for the input images where the regions of the input images selected are with tiles having long upper model and the left skewed images. By the help of image quality measures, the proposed method is performing well for the purpose of retrieving the images with respect to the picture segmenting process which is based on GMM (Gaussian Mixture Model). The current model performance was compared with the other existing models like the k-means hierarchical clustering model and the 3-paprameter regression models

The SEGUE Stellar Parameter Pipeline. IV. Validation with an Extended Sample of Galactic Globular and Open Clusters

Spectroscopic and photometric data for likely member stars of five Galactic globular clusters (M3, M53, M71, M92, and NGC 5053) and three open clusters (M35, NGC 2158, and NGC 6791) are processed by the current version of the SEGUE Stellar Parameter Pipeline (SSPP), in order to determine estimates of metallicities and radial velocities for the clusters. These results are then compared to values from the literature. We find that the mean metallicity () and mean radial velocity () estimates for each cluster are almost all within 2{\sigma} of the adopted literature values; most are within 1{\sigma}. We also demonstrate that the new version of the SSPP achieves small, but noteworthy, improvements in estimates at the extrema of the cluster metallicity range, as compared to a previous version of the pipeline software. These results provide additional confidence in the application of the SSPP for studies of the abundances and kinematics of stellar populations in the Galaxy.Comment: 98 pages, 31 figures; accepted for publication in A