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Naresh, K.
- Screening of Thrombolytic Activity of Bougainvillea glabra Leaves Extract by In-Vitro
Authors
1 Department of Pharmacognosy, Anurag Pharmacy College, Ananthagiri (V), Kodad(M), Nalgonda (Dt), Andhra Pradesh, 508 206, IN
Source
Asian Journal of Research in Pharmaceutical Sciences, Vol 2, No 4 (2012), Pagination: 134-136Abstract
Investigation with the crude methanolic extract of Bougainvillea glabra carried out to evaluate its possible thrombolysis activity. Myocardial or cerebral infractions are the serious consequences in Atherothrombotic diseases leading to death and the side effects produced by consecutive use of thrombolytic agent like t-PA, Urokinase and streptokinase to treat these diseases has become a global concern. Extraction was carried out using Soxhlet apparatus. The crude methanolic extract was found to have significant thrombolytic activity at a dose of 800μ g/ml with a maximum effect comparable with Streptokinase as a positive control and water as a negative control.Keywords
Bougainvillea glabra, Thrombolysis Activity, Streptokinase.- A Novel Hybrid Renewable Resources Constructed with Multilevel Inverter Using SVM Technique
Authors
Source
International Journal of Innovative Research and Development, Vol 3, No 2 (2014), Pagination:Abstract
The proposed system presents power-control strategies of a grid-connected hybrid generation system with versatile power transfer. This hybrid system allows maximum utilization of freely available renewable energy sources like wind, fuel and photovoltaic energies. For this, an adaptive MPPT algorithm along with standard perturbs and observes method will be used for the system.
The objective of this paper is to study a novel Multi level multistring inverter topology for DERs based DC/AC conversion system. In this study, a high step-up converter is introduced as a front-end stage to improve the conversion efficiency of conventional boost converters and to stabilize the output DC voltage of various DERs such as PV, Wind and fuel cell modules for use with the simplified newly constructed multilevel inverter. The proposed multilevel inverter requires only six active switches instead of the eight required in the conventional cascaded H- bridge (CCHB) multilevel inverter, control with SVM technique.
The inverter converts the DC output from non-conventional energy into useful AC power for the connected load. This hybrid system operates under normal conditions which include conventional and proposed cases of solar energy, fuel and wind energy. The proposed simulation results are presented to illustrate the operating principle, feasibility and reliability of this proposed system for Renewable resources.
Keywords
DC/AC power conversion, multilevel inverter, multi string inverter, renewable energy source, SVM, maximum power point tracking, cascaded bridge- Preparation and Characterization of Pristine PMMA and PVDF Thin Film Using Solution Casting Process for Optoelectronic Devices
Authors
1 Department of Physics, Sathyabama University, Chennai - 600119, Tamil Nadu, IN
2 Department of Physics, Queen Mary’s College, Chennai - 600004, Tamil Nadu, IN
3 Departments of Physics, Madras University, Chennai - 600009, Tamil Nadu, IN
Source
Journal of Surface Science and Technology, Vol 33, No 1-2 (2017), Pagination: 12-18Abstract
The PMMA and PVDF thin films were synthesized by solution casting process. The structural, spectroscopic, and morphological attributes of both the interface and surface of the film have been investigated. The structural properties of pristine PMMA and PVDF thin film were studied by XRD. The XRD spectra showed the detailed state of order and disorder of the system. From the XRD studies amorphous nature as well as the crystallanity (semi crystalline nature) of the polymer thin film were identified. SEM showed the surface morphology of the pristine PMMA and PVDF thin film. From the SEM image the size and the porous nature of the thin film were estimated. The UV showed the absorption characteristics of PMMA and PVDF thin films. From the UV-Visible spectra, we determined the direct and indirect optical energy gap of pristine PMMA and PVDF polymer samples by Devi's and Mott formula and Tauc's Expression. To the best of our knowledge, the direct and indirect energy gap in pristine PMMA and PVDF polymer thin films have been observed for the first time as no such report was found in literature survey.Keywords
Polycrystalline Surfaces, Polycrystalline Thin Films, XRD, Visible/Ultraviolet Absorption Spectroscopy, Scanning Electron Microscopy (SEM), Optical Band Gap.References
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- Diabetic Medical Data Classification using Machine Learning Algorithms
Authors
1 School of Computer Science and Engineering, VIT University, Vellore-632014, IN
Source
Research Journal of Pharmacy and Technology, Vol 11, No 1 (2018), Pagination: 97-100Abstract
Data mining is the process of analyzing data from different perspectives and summarizing it into a useful information. In this paper we propose a different classification algorithm to identify the accuracy on diabetic data sets. The diabetic person has risk and leads to other disease such as blood vessel damage, blindness, heart diseases, nerve damage and kidney diseases. Diabetics also classified as two types such as type insulin diabetes and non-insulin dependent, diabetes is a disease in which the blood glucose increases which is due to the defects of secretion of insulin, or its action or both. Diabetes is a prolonged medical disease. In diabetes the cells of person produce insufficient amount of insulin or defective insulin or may insulin or may unable use insulin properly and efficiently that further leads to hyperglycemia and type-2 diabetes. We are proposing an efficient two level for classifying data. During initial phase we use training data for analyzing the optimality of dataset then new dataset is formed as optimal training dataset now we apply our classification mechanism on new diabetic datasets. The data mining methods and techniques will be explored to identify suitable methods and techniques for efficient classification on diabetic data set and in mining it in useful patterns.Keywords
Data Mining, Diabetic Dataset, Classification, Naive Bayes Classification, Random Forest.References
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