The phrase "assimilation coefficient" is correct and usable in written English.
It can be used in scientific or technical contexts, particularly in fields like physics, biology, or environmental science, to describe a ratio or measure of assimilation.
Example: "The assimilation coefficient of the organism was calculated to determine its efficiency in nutrient uptake."
Alternatives: "absorption rate" or "assimilation rate."
Mass loss increased with the initial impact reaction probability increasing and decreased with the thermal assimilation coefficient going down.
In addition, we conducted sensitivity analyses for three important parameters (revolution ratio, assimilation coefficient, and assimilation angle), and the results of these analyses showed that the recommended ICA default parameters generally led to acceptable performances in our examples.
Table 5 Parameters of ICA Parameter Value Population size 250 Initial imperialists 10% of population size Colonies 225 Iterations 120 Assimilation coefficient 1.4 Revolution rate 0.25 Angle coefficient 0.4 Damp ratio 0.8 Threshold 0.01.
The following parameters were measured: body weight, food consumption (Fcon), rectal temperature (Tre), daily faeces production (Fec), energy uptake (Eup), energy content of the faeces (Efec), metabolizable energy (Emet) and food assimilation coefficient (Fass).
The application of the additive assimilation model and coefficients to a separate dataset from the 2009/10 growing season indicated that a highly significant (P < 0.0001) linear relationship occurred between the measured and modelled rates (Fig. 6).
The overall selection coefficients in our experimental hybrid zone (Tables 1 and 2) were likely more than sufficient to promote introgression and subsequent genetic assimilation as selection coefficients as low as 0.15 can lead to evolutionary change (Kingsolver and Pfennig 2007).
The problems that can be solved using linear programming include four classes of problems: data consistency verification, data assimilation, data reconciliation, and coefficient estimation.
Kuang and Tangborn (2015) examine the responses of core surface flows for global geomagnetic field models by assimilation of the Gauss coefficients of the core field and its secular variation.
The coefficient on the assimilation factor is generally positive and is significant for the general, leisure and sports, and career risk attitudes.
Once again, we find that the estimated coefficients on the ethnic persistence measure are mostly negative irrespective of gender, whereas the coefficients on the assimilation factor are mostly positive.
As noted by Orrenius and Zavodny (2009), this coefficient could be capturing both assimilation and cohort effects.
