The phrase "air population" is not a standard or commonly used expression in written English.
It may be used in specific contexts, such as discussing the number of people in a given airspace or the density of individuals in an aerial environment, but it is not widely recognized.
Example: "The air population over the city increased significantly during the festival, leading to congestion in the skies."
Alternatives: "aerial population" or "population in the air".
Perhaps you also recall the recently released Apple MacBook, with a surprisingly small frame, new touchpad, and other things that have won it converts from the Macbook Air population.
The SALIA cohort (Study on the influence of Air population on Lung function, inflammation and Aging) was initiated as part of the Environmental Health Surveys introduced by the North Rhine Westfalia government between 1985 and 1994.
Indeed, the lung cancer rates among male and female never-smokers in the current study were more than 3 times those reported for 1990 US never-smokers (Supporting Fig. 4 [see online supporting information]), perhaps partly because of exposure to indoor air population from cooking and heating.
This determination might be of greater consequence if one considers an air traveler population or a population entering a hospital.
The standard morbidity ratios were modeled as functions of intensive crop production, intensive release of hazardous air pollutants, population density, and rapid population growth.
To simulate the behavior of the air conditioner population, the most direct method is to aggregate thousands of air conditioners.
The linear state equations, which characterize the temperature probability density evolution of the air conditioner population considering randomness, are proposed by solving CFPEs using the FDM to aggregate air conditioning loads.
Because the analytical solutions of CFPEs cannot be derived at present, linear state equations, which characterize the temperature probability density evolution of the air conditioner population considering randomness, are developed by solving CFPEs using the finite difference method (FDM).
The main contributions of this paper are as follows: 1) The linear state equations, which characterize the temperature probability density evolution of the air conditioner population considering randomness, are proposed by solving CFPEs using the FDM to aggregate air conditioning loads.
The obtained air bubble population is diffuse which indicates that there are numerous air bubble fractions of diverse diameters.
At the same time, xanthan gum influences the shape of the air bubble population (Fig. 3, Table 5).
