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Shetty, Rakshith
- Review on Applications of Neural Network in Coastal Engineering
Abstract Views :230 |
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Authors
Affiliations
1 Department of Applied Mechanics and Hydraulics, National Institute of Technology Karnataka, Surathkal, P. O. Srinivasnagar, Mangalore 575 025, IN
2 Centre for Water Resources, Anna University, Chennai-600 025, IN
1 Department of Applied Mechanics and Hydraulics, National Institute of Technology Karnataka, Surathkal, P. O. Srinivasnagar, Mangalore 575 025, IN
2 Centre for Water Resources, Anna University, Chennai-600 025, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 5, No 7 (2013), Pagination: 324-331Abstract
Artificial Neural Networks (ANN) finds wide variety of application in solving problems related to coastal engineering. Its ability to learn highly complex interrelationship based on provided data sets with the help of a learning algorithm along with built in error tolerance and less amount of data requirement, makes it a powerful modeling tool in the research community. Large number of studies has been carried out in various fields like prediction of wave parameters, tidal level and storm surge, estimation of design parameters, liquefaction depth and scour depth to name a few. Various forecasting, estimation and supplement to the missing data studies carried out from different perspective ranging from, the sensitivity analysis to check the effect of input parameters and reduce the input size by discarding less effective ones; reducing the input size by using data assimilation techniques like principal component analysis to decrease the computational time requirement; usage of updated algorithms to overcome the problem of overfitting and overlearning, thereby increasing the network efficiency; has been carried out successfully, establishing ANN as an strong alternative to the data demanding and time consuming hydrodynamic and numerical models. As the validity of ANN to the ocean engineering applications became increasingly evident studies were incorporated in practical applications as well. Studies are being carried out to merge ANN with other AI techniques of Genetic Programming and Fuzzy Logic approaches to overcome the setbacks observed in ANN models. The studies have successfully shown that ANN can be applied to solve vast problems related to ocean engineering problems by meticulous selection of data, input parameters, network architecture and learning algorithms.Keywords
Artificial Neural Networks, Artificial Intelligence, Coastal Engineering, Ocean Engineering.- Mechanisms and Therapeutics of N-acetylcysteine:A Recent Update
Abstract Views :175 |
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Authors
Affiliations
1 STEER Life India Pvt Ltd, Bengaluru, 560058, Karnataka State, IN
2 Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal 576104, Karnataka State, IN
1 STEER Life India Pvt Ltd, Bengaluru, 560058, Karnataka State, IN
2 Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal 576104, Karnataka State, IN
Source
Research Journal of Pharmacy and Technology, Vol 12, No 5 (2019), Pagination: 2584-2588Abstract
N-acetylcysteine (NAC), a precursor and a source of glutathione, which has been used for past four decades, with well-established safety, widely used for the treatment of acetaminophen poisoning and as a mucolytic. NAC also would be administered in combination with certain drugs, imparting beneficial effects and having a medical rationale. NAC is a molecule having a wider therapeutic index with a broad spectrum of prophylactic and therapeutic applications and has become an important social need. Research is ongoing to understand the various pharmacological and biochemical pathways by which NAC exhibits various therapeutic effects. Clinical uses of NAC is attributed, to the presence of thiol group, which acts as a direct antioxidant and also replenishes glutathione levels, which is decreased in various disease conditions. This review aims to understand the role of NAC in various clinical conditions. The article concludes that NAC may be beneficial in some conditions, especially in patients with depleted glutathione, or with oxidative stress, for which patients can be screened before prescribing NAC.Keywords
N-Acetylcysteine, Oxidative Stress, Antioxidant, Glutathione, Free Radicals.References
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- Solubility Enhancement of Lumefantrine by Hot Melt Extrusion Process
Abstract Views :163 |
PDF Views:0
Authors
Rakshith Shetty
1,
Vaishnavi Tallapaneni
2,
M. Sreenivasa Reddy
2,
Nayanabhirama Udupa
2,
Srinivas Mutalik
2,
Vijay Kulkarni
1,
Vinay Rao
1,
Aravind Kumar Gurram
1
Affiliations
1 STEER Life India Pvt Ltd, Bengaluru 560058, Karnataka State, IN
2 Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal 576104, Karnataka State, IN
1 STEER Life India Pvt Ltd, Bengaluru 560058, Karnataka State, IN
2 Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal 576104, Karnataka State, IN
Source
Research Journal of Pharmacy and Technology, Vol 12, No 6 (2019), Pagination: 2929-2935Abstract
Lumefantrine is a BCS class -II drug having a poor aqueous solubility. There is a need for improvement in solubility, in order to enhance the therapeutic efficacy and reduce the dose. Hence in the present work, the solubility of lumefantrine is enhanced by formulating solid dispersions of lumefantrine using a hot melt extrusion process in a twin-screw processor using three different polymers such as Kollidon VA64, Soluplus and HPMC AS at a weight ratio of 1:2, 1:3 and 1:4, processed at different barrel temperatures and screw speeds. The obtained solid dispersions were characterized by differential scanning calorimetry and solubility studies. Solid dispersions prepared with KollidonVA64 and Soluplus showed a clear extrudate indicating a complete amorphous conversion of the lumefantrine at all the three ratios evaluated. Increase in polymer concentration, increased the solubility of the lumefantrine. With Kollidon VA 64 and Soluplus, lumefantrine to polymer ratio of 1:4 showed the highest increase in solubility, compared to that of the pure lumefantrine.Keywords
Lumefantrine, Polymers, Twin Screw Extrusion, Solid Dispersion, Solubility.References
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