Raghavendra D. Prabhu

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Sparingly, water-soluble drugs such as candesartan cilexetil offer challenges in developing a drug product with adequate bioavailability. The objective of the present study was to develop and characterize self-microemulsifying drug delivery system (SMEDDS) of candesartan cilexetil for filling into hard gelatin capsules. Solubility of candesartan cilexetil(More)
The objective of this study was to develop a tablet formulation of ketoconazole incorporating drug nanoparticles to enhance saturation solubility and dissolution velocity for enhancing bioavailability and reducing variability in systemic exposure. The bioavailability of ketoconazole is dissolution limited following oral administration. To enhance(More)
BACKGROUND Invasive infections from community-acquired methicillin-resistant Staphylococcus aureus (CA-MRSA) are increasingly being encountered in healthy children. Nasal colonization of MRSA is associated with increased risk for acquiring invasive disease. The objective of this study was to determine prevalence and risk factors for CA-MRSA nasal(More)
Graphical processing units (GPUs) have been, lately used for general purpose tasks owing to their implicit parallel nature. One such task is that of pattern classification. Highly parallel tasks like these suffer from performance loss owing to the sequential nature of central processing unit (CPU). To match the image processing power of human brain even(More)
This paper reviews LES methods, based on the dynamic subgrid-scale model, that greatly improve the efficiency of turbulence control simulations in the context of drag reduction for plane turbulent channel flow. We begin by performing simulations of opposition control at Reynolds numbers in the range Re τ = 100 to 590 which demonstrate a decrease in(More)
Artificial Neural networks have been part of an attempt to emulate the learning curve of the human nervous system. However the vital difference of, nervous system being highly parallel and computer processor units remaining largely sequential persists. Here an attempt is made to bridge that gap with the help of Graphics Processing Units (GPUs) which are(More)
Grid Computing is a kind of important information technology which enables resource sharing globally to solve the large scale problem. It is based on networks and able to enable large scale aggregation and sharing of computational, data, sensors and other resources across institutional boundaries. Integrated Globus Tool Kit with Web services is to present(More)
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