CONTROLLING A LOW COST BANG BANG PNEUMATIC MONOPOD

Controlling a Low Cost Bang Bang Pneumatic Monopod

To date there have been great advances in the legged robotics community.However, these platforms are extremely costly to develop sten jacket m and require complex controllers to perform agile motion, limiting their research to well funded institutions, or purely simulation based studies.This research focuses on an extremely low cost robotic monopod

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Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease

Abstract Background Atrial fibrillation (AF) is the most common arrhythmia with poorly understood mechanisms.We aimed to investigate the biological mechanism of AF and to discover feature genes by analyzing multi-omics data and by applying a machine learning approach.Methods At the transcriptomic level, four microarray datasets (GSE41177, GSE79768,

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