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63.8 Gs: The approximate time since the beginning of the Anno Domini era as of 2019 – 2,019 years, and traditionally the time since the birth of Jesus Christ. 194.67 Gs: The approximate lifespan of time capsule Crypt of Civilization, 28 May 1940 – 28 May 8113 363 Gs: (11.5 ka): The time since the beginning of the Holocene epoch
A possible proximate explanation states that one male produced a more intense signal, leading to elevated hormone levels in the female producing copulatory behaviour. Although the behavior in these two examples is the same, the explanations are based on different sets of factors incorporating evolutionary versus physiological factors.
Proximate cause is a key principle of insurance and is concerned with how the loss or damage actually occurred. There are several competing theories of proximate cause (see Other factors ). For an act to be deemed to cause a harm, both tests must be met; proximate cause is a legal limitation on cause-in-fact.
Proximates are used in the analysis of biological materials as a decomposition of a human-consumable good into its major constituents. They are a good approximation of the contents of packaged comestible goods and serve as a cost-effective and easy verification of nutritional panels.
How vs. why questions: Proximate view How an individual organism's structures function Ontogeny (development) Developmental explanations for changes in individuals, from DNA to their current form Mechanism (causation) Mechanistic explanations for how an organism's structures work Ultimate (evolutionary) view
In statistics, an approximate entropy (ApEn) is a technique used to quantify the amount of regularity and the unpredictability of fluctuations over time-series data. [1] For example, consider two series of data:
An approximate model is used to make calculations easier. Approximations might also be used if incomplete information prevents use of exact representations. The type of approximation used depends on the available information , the degree of accuracy required , the sensitivity of the problem to this data, and the savings (usually in time and ...
This is accomplished by using a polynomial of high degree, and/or narrowing the domain over which the polynomial has to approximate the function. Narrowing the domain can often be done through the use of various addition or scaling formulas for the function being approximated.