نتایج جستجو برای: mras
تعداد نتایج: 403 فیلتر نتایج به سال:
BACKGROUND Mineralocorticoid receptor antagonists (MRAs) are the most underutilized pharmacotherapy for heart failure. Minimal data are available on the barriers to MRA adoption from the perspective of prescribing clinicians. METHODS AND RESULTS A mixed-methods study consisting of a survey (n=50), focus groups (n=39), interviews (n=6) with clinicians at a single US Department of Veterans Affa...
In the speed control system of an Interior Permanent Magnet Synchronous Motor (IPMSM) without a sensor, PI controllers using only fixed set parameters cannot achieve accurate tracking estimated in wide domain and also suffer from step response overshoot. This paper proposes Compound Variable Structure (CVSPI) controller to improve performance. It can choose whether include integral term accordi...
A new model reference adaptive system based estimation technique for vector control of real and reactive power a brushless doubly fed reluctance generator without shaft position sensor is proposed. The rotor speed being precisely observed in closed-loop manner by eliminating the error between measured estimated inverter-fed (secondary) winding current angles stationary frame. Contrary to existi...
Introduction The prognosis of patients with heart failure has significantly improved in the past decades with the advent of therapies such as angiotensinconverting enzyme (ACE) inhibitors, betablockers, mineralocorticoid receptor antagonists (MRAs), ivabradine, LCZ696 and with devices such as implantable cardioverterdefibrillator (ICD) and cardiac resynchronization therapy devices (CRT).[1] By ...
We survey some randomized search methods for global optimization that are based on sampling from an underlying probability distribution “model” on the solution space. In this approach, the probability model is updated iteratively after evaluating the performance of the samples at each iteration. Such model-based methods include estimation of distribution algorithms (EDAs), the cross-entropy met...
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