AUGMENTED REALITY AND INTRAOPERATIVE NAVIGATION IN SINONASAL MALIGNANCIES: A PRECLINICAL STUDY



A Model to Predict Heart Disease Treatment Using Data Mining

Background and Aim: Nowadays heart disease is very common and is a major cause of mortality.Proper and early diagnosis of this disease is very important.Diagnostic methods and treatments of the disease are so expensive and Hobs have many side effects.Therefore, researchers are looking for cheaper ways to diagnose it with high precision.This study a

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An Adaptive Deep Belief Networkbased Intelligent moving Robot for Navigation Control using Mamdani-Sugeno Fuzzy Inference System

The Intelligent Moving Robots (IMR) are designed to understand instructions and act accordingly in an independent manner.They use sensors that operate with the help of the Internet of Things(IoT) and Deep Learning (DL) for interpreting and navigating the directions following environmental conditions.Recent advancements use the Artificial Neural Net

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Re-evaluation of the action potential upstroke velocity as a measure of the Na+ current in cardiac myocytes at physiological conditions.

BackgroundThe SCN5A encoded sodium current (I(Na)) generates the action potential (AP) upstroke and is a major determinant of AP characteristics and AP propagation in cardiac myocytes.Unfortunately, in cardiac myocytes, investigation of kinetic properties of I(Na) with near-physiological ion concentrations and temperature is technically challenging

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