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Vijay Kumar, V.
- Evaluation of Cardiotonic Activity of some Traditionally Used Medicinal Plants
Abstract Views :473 |
PDF Views:2
Authors
K. Sanjeev Kumar
1,
V. Vijay Kumar
1,
A. G. Prasanthi
1,
L. K. Kanthal
1,
P. Bhoja Raju
1,
K. Satyavathi
1
Affiliations
1 Koringa College of Pharmacy, Korangi, Tallarevu (M), East Godavari Dist., Andhra Pradesh, IN
1 Koringa College of Pharmacy, Korangi, Tallarevu (M), East Godavari Dist., Andhra Pradesh, IN
Source
Research Journal of Pharmacology and Pharmacodynamics, Vol 5, No 2 (2013), Pagination: 87-91Abstract
The present study was undertaken to evaluate the cardiotonic activity of the aqueous, methanolic and chloroform extracts of the ischolar_mains of Hemidesmus indicus and fruits of Terminalia bellirica, Terminalia chebula. The cardiotonic effect of aqueous, methanolic and chloroform extracts of the three plants was studied by using isolated frog heart perfusion technique (IFHP). Ringer solution without calcium was used as a vehicle for administration of aqueous, methanolic and chloroform extracts as test and digoxin as standard. A significant increase in the height of force of contraction (positive ionotropic effect) and decrease in heart rate (negative chronotropic effect) was observed and as compared to standard, test drug showed wide therapeutic index.Keywords
Cardiotinic Activity, Frog Heart Perfusion Technique, Digoxin, Therapeutic Index,Hemidesmus Indicus, Terminalia Bellirica, Terminalia Chebula
References
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- Performance Analysis of Remote Sensing Application using Area Wise Prediction
Abstract Views :280 |
PDF Views:0
Authors
Affiliations
1 SNIST, Yamnampet, Ghatkesar, Hyderabad-501301, IN
1 SNIST, Yamnampet, Ghatkesar, Hyderabad-501301, IN
Source
Oriental Journal of Computer Science and Technology, Vol 12, No 1 (2019), Pagination: 21-27Abstract
Remote sensors from the Satellite or Aircrafts are generated by huge volume of data which can utilize for impending signification if collected data aggregated effectively incorporates by insight information. Data is collection from simple to hybrid devices, which are continuously working for technology around us and communicate with each other. These devices are transferring huge amounts of real time data daily. The transaction added to the synchronized inaccessible sensing data that is retrieving the useful information in the proficient way of classification in the direction of the severe computational challenges, analyze, the assortment, and accumulate, where gathered data is inaccessible. The real time sensing devices will continuously export data. In this work, we will implement the big data analytics on remote sensing datasets. We utilized BEST software for header analysis of the datasets and retrieving the full resolution image from the dataset. Then retrieved image is divided into smaller blocks for applying statistical. By applying certain rules and conditions in the form of algorithm, determine the land and sea blocks of image dataset. Our end results are proficiently analyzing real-time remote sensing utilizing the land beacon structure. Finally, a comprehensive investigation of the remotely intelligence earth beacon massive information for earth and ocean space are available by utilizing- Hadoop.Keywords
Big Data, Hadoop, Land, Remote Sensing, Statistical.Full Text
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