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The rally 'round the flag effect, also referred to as the rally 'round the flag syndrome, is a concept used in political science and international relations to explain increased short-run popular support of a country's government or political leaders during periods of international crisis or war. [1]
There are two primary mechanisms behind diversionary war: a manipulation of the rally 'round the flag effect, causing an increase of national fervor from the general public, [1] and "gambling for resurrection", whereby a leader in a perilous domestic situation takes high-risk foreign policy decisions with a small chance of success but with a ...
The FLAG-tag was the second example of a fully functional, improved epitope tag, published in the scientific literature. [ 1 ] [ 5 ] [ 6 ] and was the only epitope tag to be patented. [ 7 ] [ 8 ] It has since become one of the most commonly used protein tags in laboratories worldwide.
Rally 'Round the Flag may also refer to: Rally 'round the flag effect, an increase in support of government leaders during times of international crisis;
The flagship species concept appears to have become popular around the mid 1980s [7] within the debate on how to prioritise species for conservation. The first widely available references to use the flagship concept applied it to both neotropical primates [8] and African elephants and rhinos, [9] in the mammal-centric approach that still dominates how the concept is used.
This example illustrates how reciprocal causation is not a rejection of the proximate-ultimate distinction itself, but instead a rejection of the implication that developmental processes should not feature in evolutionary explanations. Reciprocal causation also applies in other domains of evolutionary biology.
Popular examples of the Mandela effect. Here are some Mandela effect examples that have confused me over the years — and many others too. Grab your friends and see which false memories you may ...
A biological network is a method of representing systems as complex sets of binary interactions or relations between various biological entities. [1] In general, networks or graphs are used to capture relationships between entities or objects. [1]
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