Harvesting Image Databases from The Web

The research work presented here includes data mining needs and study of their algorithm for various extraction purpose. It also includes work that has been done in the field of harvesting images from web. Here the proposed method is to harvest image databases from web. We can automatically generate a large number of images for a specified object. By applying concept of data mining and the algorithm from data mining which is used for extraction of data or harvesting images. A multimodal approach employing text ,metadata and visual  features is used to gather many high-quality images from the web. The modules can be made to find query images by selecting images where nearby text is top ranked by the topic i.e., formation of image clusters then download associate images by using approaches like web search, image search and Google images. Apply re-ranking algorithm and then filtering process to harvest the images.Currently, image search gives a very low precision (only about 4%) and is not used for the harvesting experiments. Since the movements of the technologies are growing rapidly the kinds of work also need to be grown up. This work shows an approach to harvest a large number of images of a particular class automatically and to achieve this with high precision by providing training databases so that a new object model can be learned effortlessly. Many other tools also are available for harvesting images from web .An approach in this paper is original and up to the mark. Keywords: Legacy code, re-engineering, class diagrams, Aggregation, Association, Attribute

Antidiabetic Activity of Gnidia glauca

Diabetes is a metabolic disorder affecting about 220 million people worldwide. One of the most critical complications of diabetes is post-prandial hyper-glycemia (PPHG). Glucosidase inhibitor and α-amylase inhibitors are class of compounds that help in managing PPHG. Low-cost herbal treatment is recommended due to their lesser side effect for treatment of diabetes. Two plants with significant traditional therapeutic potential, namely, Gnidia glauca and Dioscorea bulbifera, were tested for their efficiency to inhibit α-amylase and α-glucosidase. Stem, leaf, and flower of G. glauca and bulb of D. bulbifera were sequentially extracted with petroleum ether, ethyl acetate, and methanol as well as separately with 70% ethanol. Petroleum ether extract of flower of G. glauca was found to inhibit α-amylase significantly (78.56%). Extracts were further tested against crude murine pancreatic, small intestinal, and liver glucosidase enzyme which revealed excellent inhibitory properties. α-glucosidase inhibition provided a strong in vitro evidence for confirmation of both G. glauca and D. bulbifera as excellent antidiabetic remedy. This is the first report of its kind that provides a strong biochemical basis for management of type II diabetes using G. glauca and D. bulbifera. These results provide intense rationale for further in vivo and clinical study

Antihyperlipidemic and antiperoxidative effect of Diasulin, a polyherbal formulation in alloxan induced hyperglycemic rats

BACKGROUND: This study was undertaken to investigation the effect of Diasulin, a poly herbal drug composed of ethanolic extract of ten medicinal plants on blood glucose, plasma insulin, tissue lipid profile, and lipidperoxidation in alloxan induced diabetes. METHODS: Ethanolic extract of Diasulin a, poly herbal drug was administered orally (200 mg/kg body weight) for 30 days. The different doses of Diasulin on blood glucose and plasma insulin in diabetic rats were studied and the levels of lipid peroxides [TBARS, and Hydroperoxide] and tissue lipids [cholesterol, triglyceride, phospholipides and free fatty acids] were also estimated in alloxan induced diabetic rats. The effects were compared with glibenclamide. RESULT: Treatment with Diasulin and glibenclamide resulted in a significant reduction of blood glucose and increase in plasma insulin. Diasulin also resulted in a significant decrease in tissue lipids and lipid peroxide formation. The effect produced by Diasulin was comparable with that of glibenclamide. CONCLUSION: The decreased lipid peroxides and tissue lipids clearly showed the antihyperlipidemic and antiperoxidative effect of Diasulin apart from its antidiabetic effect

PEGylated systems in pharmaceutics

This review addresses the use of poly(ethylene glycol) (PEG) and PEG conjugation for the design of novel dosage forms and the modification of biomolecules. The peculiarities of PEGylated nanoparticles, liposomes, proteins, enzymes, and small drug and polyelectrolyte molecules and their influence on systemic drug delivery, including overcoming of various biological barriers and adhesion to mucosal tissues (mucoadhesion), are considered

Synthesis and evaluation of S-4-(3-thienyl)phenyl-α-methylacetic acid

Herein we report an efficient procedure to synthesize S-4-(3-thienyl)phenyl-α-methylacetic acid, an enantiomerically pure intermediate of a recently approved nonsteroidal antiinflammatory cyclooxygenase inhibitor, atliprofen [methyl RS-4-(3-thienyl)phenyl-α-methylacetate]. The interactions of the active S-isomer of the acid were theoretically compared with those of S-ibuprofen through molecular docking studies using COX-1 and COX-2 protein structures. The results were corroborated by in vitro and in vivo studies. An efficient process for the preparation of S-4-(3-thienyl)phenyl-α-methylacetic acid, an enantiomerically pure intermediate of recently approved NSAID atliprofen is reported. The pharmacologically active isomer, S-4-(3-thienyl)phenyl-α-methylacetic acid was compared with S-ibuprofen by docking studies on COX enzyme structures followed by biological evaluations