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Antioxidant activity of methanolic extract of Tectona grandis root was investigated for its free radical scavenging activity by determining the nitric oxide and superoxide radical scavenging activity. Maximum scavenging of nitric oxide and superoxide radical found were 26.61% and 46.64% respectively at 250 μg/ml concentration. The results were compared with(More)
Diffuse Nodular Lymphoid Hyperplasia (DNLH) of the intestine is a rare lymphoproliferative disorder of uncertain etiology, which is characterized by the presence of multiple nodular lesions. It can present as an asymptomatic disease or manifest with gastrointestinal symptoms like abdominal pain, chronic diarrhea, occult bleeding or rarely intestinal(More)
Supremal controllable and normal sublanguages have been shown to play an important role in supervisor synthesis. In this paper, we discuss the computation of supremal controllable and normal sublanguages. We derive formulas for both supre-mal controllable sublanguages and supremal normal sublanguages when the languages involved are closed. As a result,(More)
Growing environmental awareness and new government directives have set the stage for an increase in the fraction of energy supplied using renewable resources. The fast variation in renewable power, coupled with uncertainty in availability, emphasizes the need for algorithms for intelligent online generation scheduling. These algorithms should allow us to(More)
We propose a new approach to clustering. Our idea is to map cluster formation to coalition formation in cooperative games, and to use the Shapley value of the patterns to identify clusters and cluster representatives. We show that the underlying game is convex and this leads to an efficient biobjective clustering algorithm that we call BiGC. The algorithm(More)
Carcinoids are rare, slow-growing tumors originating from a variety of different neuroendocrine cell types. They are identified histologically by their affinity for silver salts and by positive reactions to neuroendocrine markers such as neuron-specific enolase, synaptophysin and chromogranin. They can present with various clinical symptoms and are(More)
Most of the approaches for discovering visual attributes in images demand significant supervision, which is cumbersome to obtain. In this paper, we aim to discover visual attributes in a weakly supervised setting that is commonly encountered with contemporary image search engines. For instance, given a noun (say forest) and its associated attributes (say(More)