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Data warehousing technology has made a huge impact in the world of business; it helps to turn data into information that helps analysts to make strategic decisions. Currently most data warehouse approaches employ static refresh mechanisms. But for various business requirements this is not an appropriate solution. Some critical data need to be refreshed in(More)
The objective of this paper is to propose a new methodology for text extraction and non text removal from colored images. Text in web pages, library documents etc. is one powerful source of high level semantics. Existing text extraction methods do not work efficiently in case of images with complex background, different contrast or text embedded in a(More)
BACKGROUND Medication errors are common but most often preventable events in any health care setup. Studies on medication errors involving chemotherapeutic drugs are limited. OBJECTIVE We studied three aspects of medication errors - prescription, transcription and administration errors in 500 cancer patients who received ambulatory cancer chemotherapy at(More)
The vast volume of complex, multidimensional data generated by the Bill & Melinda Gates Foundation's Ananya program to improve maternal, child, and integrated health in Bihar, India, compelled the program to develop a strong visual analytics system. This was necessary to synthesize information and enable Ananya's managers to visualize and interpret data(More)
Chitin is a ubiquitous renewable biopolymer that is significantly distributed in the natural world. Biopolymeric nanoparticles (Nps) have been developed for various biomedical applications by researchers. Here, chitin derivative, dibutyrylchitin Nps (DBC) was synthesized as a nanocarrier for drug delivery using butyric anhydride and perchloric acid as a(More)
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