Search results
Results From The WOW.Com Content Network
In 2013 CODE started the "Seal of Distinction" program, which recognizes non-profit organizations that are successful in placing veterans in good jobs. Winners receive a $30,000 grant to use in their veteran job placement activities. [100] The goal of CODE is to help 100,000 US and UK veterans find high-quality jobs by 2024. [101]
From an alternative name: This is a redirect from a title that is another name or identity such as an alter ego, a nickname, or a synonym of the target, or of a name associated with the target.
X-inactivation (also called Lyonization, after English geneticist Mary Lyon) is a process by which one of the copies of the X chromosome is inactivated in therian female mammals. The inactive X chromosome is silenced by being packaged into a transcriptionally inactive structure called heterochromatin.
Download QR code; Wikidata item; ... activation is the process whereby something is ... and often it is provided by the natural random thermal fluctuations of the ...
Activation syndrome is a form of stimulation (sometimes suicidal) or agitation that has been observed in association with some psychoactive drugs. [1] A causative role has not been established. [ 2 ] Pfizer has denied that sertraline can cause such effects.
Activision Publishing, Inc. is an American video game publisher based in Santa Monica, California. It serves as the publishing business for its parent company, Activision Blizzard, and consists of several subsidiary studios. Activision is one of the largest third-party video game publishers in the world and was the top United States publisher ...
The activation-synthesis hypothesis, proposed by Harvard University psychiatrists John Allan Hobson and Robert McCarley, is a neurobiological theory of dreams first published in the American Journal of Psychiatry in December 1977. The differences in neuronal activity of the brainstem during waking and REM sleep were observed, and the hypothesis ...
The activation function of a node in an artificial neural network is a function that calculates the output of the node based on its individual inputs and their weights. Nontrivial problems can be solved using only a few nodes if the activation function is nonlinear . [ 1 ]