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Clinical equipoise, also known as the principle of equipoise, provides the ethical basis for medical research that involves assigning patients to different treatment arms of a clinical trial. The term was first used by Benjamin Freedman in 1987, although references to its use go back to 1795 by Edward Jenner .
Gause's law or the competitive exclusion principle, named for Georgy Gause, states that two species competing for the same resource cannot coexist at constant population values. The competition leads either to the extinction of the weaker competitor or to an evolutionary or behavioral shift toward a different ecological niche .
Equipoise may refer to: Clinical equipoise, or the principle of equipoise, a medical research term; Equilibrioception, the state of being balanced or in equilibrium; Boldenone undecylenate, an anabolic steroid, by the trade name Equipoise; Hydroxyzine, an antihistamine, by trade name Equipoise; Equipoise (Happy Rhodes album), 1993
Scientific laws or laws of science are statements, based on repeated experiments or observations, that describe or predict a range of natural phenomena. [1] The term law has diverse usage in many cases (approximate, accurate, broad, or narrow) across all fields of natural science (physics, chemistry, astronomy, geoscience, biology).
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In ecology, the competitive exclusion principle, [1] sometimes referred to as Gause's law, [2] is a proposition that two species which compete for the same limited resource cannot coexist at constant population values. When one species has even the slightest advantage over another, the one with the advantage will dominate in the long term.
This is the principle Lashley referred to as equipotentiality. Extensive regions of the cerebral cortex have the potentiality for mediating specific learning and memory functions. His principle of "mass action" stated that the cerebral cortex acts as one—as a whole—in many types of learning.
Shelford's law of tolerance is a principle developed by American zoologist Victor Ernest Shelford in 1911. It states that an organism 's success is based on a complex set of conditions and that each organism has a certain minimum, maximum, and optimum environmental factor or combination of factors that determine success. [ 1 ]