Search results
Results from the WOW.Com Content Network
Recurrence rate of TTS is about 1.8% per-patient year. [ 6 ] There is a steady annual increase in takotsubo cardiomyopathy among both women and men from 2006 to 2017, with the sharpest increases among women 50 and older.
Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more
Tachycardia, also called tachyarrhythmia, is a heart rate that exceeds the normal resting rate. [1] In general, a resting heart rate over 100 beats per minute is accepted as tachycardia in adults. [1] Heart rates above the resting rate may be normal (such as with exercise) or abnormal (such as with electrical problems within the heart).
Hibernation induction trigger (HIT) proteins isolated from mammals have been used in the study of organ recovery rates. One study in 1997 found that delta 2 opioid and hibernation induction trigger (HIT) proteins were not able to increase the recovery rate of heart tissue during ischemia. While unable to increase recovery rates at the time of ...
The oculocardiac reflex, also known as Aschner phenomenon, Aschner reflex, or Aschner–Dagnini reflex, is a decrease in pulse rate associated with traction applied to extraocular muscles and/or compression of the eyeball. [1]
The ratio of the trigger rate to the event rate is referred to as the selectivity of the trigger. For example, the Large Hadron Collider (LHC) has an event rate of 40 MHz (4·10 7 Hz), and the Higgs boson is expected to be produced there at a rate of roughly 1 Hz. The LHC detectors can manage to permanently store about one thousand events per ...
Obsessive–compulsive disorder affects about 2.3% of people at some point in their lives, while rates during any given year are about 1.2%. [2] [6] More than three million Americans suffer from OCD. [33] According to Mercy, approximately 1 in 40 U.S. adults and 1 in 100 U.S. children have OCD. [34]
A particle swarm searching for the global minimum of a function. In computational science, particle swarm optimization (PSO) [1] is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.