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Predicting Environmental Interaction

Authors: Gerald Coren; William Cotliar; David Conroe;

Predicting Environmental Interaction

Abstract

<div class="htmlview paragraph">Ingredients necessary for studying the effects of environmental interactions are presented. A technique for quantitatively predicting the effects of combined environments upon components was developed and applied to test data obtained under controlled conditions. The synergistic effects were equalized as to exposure time and the number of environmental encounters. The data was then statistically analyzed with the following conclusions: <ol class="list nostyle"> <li class="list-item"> <span class="li-label">1.</span> <div class="htmlview paragraph">Combined environments produce a synergistic effect which acts to reduce the over-all stress severity imposed upon components by the individual environments.</div></li> <li class="list-item"> <span class="li-label">2.</span> <div class="htmlview paragraph">The length of time parts are exposed to a combined environment is more critical to component life than the number of encounters with that environment.</div></li> <li class="list-item"> <span class="li-label">3.</span> <div class="htmlview paragraph">Combined environments appear to produce the same effect upon a given component irrespective of the environments concerned in the combination.</div></li> <li class="list-item"> <span class="li-label">4.</span> <div class="htmlview paragraph">Different components are affected in different ways by a given combined environment.</div></li></ol></div>

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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