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Biopolymer Electrolytes

Biopolymer Electrolytes

Sudhakar Y N; M. Selvakumar; D. Krishna Bhat

Elsevier Science Publishing Co Inc
2018
nidottu
Biopolymer Electrolytes: Fundamentals and Applications in Energy Storage provides the core fundamentals and applications for polyelectrolytes and their properties with a focus on biopolymer electrolytes. Increasing global energy and environmental challenges demand clean and sustainable energy sources to support the modern society. One of the feasible technologies is to use green energy and green materials in devices. Biopolymer electrolytes are one such green material and, hence, have enormous application potential in devices such as electrochemical cells and fuel cells.
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Cardiac Arrhythmias in Adults with Congenital Heart Disease, An Issue of Cardiac Electrophysiology Clinics

Cardiac Arrhythmias in Adults with Congenital Heart Disease, An Issue of Cardiac Electrophysiology Clinics

Seshadri Balaji; Ravi Mandapati; Kalyanam Shivkumar

Elsevier - Health Sciences Division
2017
sidottu
This issue of Cardiac Electrophysiology Clinics, edited by Drs. Ravi Mandapati, Kalyanam Shivkumar, and Seshadri Balaji, will cover the latest in Cardiac Arrhythmias in Adults with Congenital Heart Disease. Topics covered in this issue include, but are not limited to Brady arrhythmia; Supraventricular Tachycardia in Adult Congenital Heart Disease; Atrial defects, Ebsteins; Drug therapy; Devices; and Surgery.
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Response of Lowland Rice Cultivars to Nitrogen Application

Response of Lowland Rice Cultivars to Nitrogen Application

Kamal Kant; Meghna Gogoi; Shivkumar G Telkar

LAP Lambert Academic Publishing
2019
pokkari
Prediction of productivity of any crop in a season has very important economic importance for a country. For yield improvements in rice, information about suitable management practices is rapidly increasing. The generation of new data through agronomic research methods is insufficient and time-consuming to meet these needs. It is important for a country like India, where productivity of crops in any season may vary greatly depending on the prevailing weather conditions of that season. In recent years, several dynamic crop growth simulation models have been developed to help in such a predictive process. Model accuracy in prediction and their sensitivity also help in mid-course correction, so that farmer can adopt a measure to avoid any drop in potential production of any crops. The main goal of a crop simulation model is to estimate crop production, resource use and environmental impact as a function of local weather and soil conditions and crop management. Agricultural system models have untapped potential to help agricultural research and technology transfer in the 21st century.
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