We found no significant effect of landscape units on species richness and density, while land use type had a significant impact on both variables, with the lowest values in crops and forests, and the highest values in grasslands.
General linear models (GLM) including the TBR measured in 3D-OSEM reconstructed data, the lesion volume, and their interaction (TBR * lesion volume) were calculated to examine the association of both variables with the SUVmax differences.
Fits used weighted orthogonal distance regression [26] to account for errors in both variables, with weights set to the reciprocals of the variance of voxel values in the myocardium VOIs.
Based on a theoretical framework combining elements of agency theory, institutionalism and upper echelons approach, we propose a longitudinal model to examine the relationships of both process variables with the number of CEO changes and succession type (internal vs. external succession), respectively.
In support of the poor influence of ventilation on PaO2 after etorphine administration, we found that the arterial partial pressure of carbon dioxide (PaCO2, P = 0.98, r < 0.01) and the calculated alveolar partial pressure of oxygen (PAO2, P = 0.99, r < 0.01), both variables associated with the magnitude of ventilation, were not correlated with PaO2.
A regression model combining both of these variables with the Mini-Mental State Examination (MMSE) and patient diagnosis predicted 82%% of patients who had a length of stay greater than 21 days.
The demand and the processing time in both models are random variables with the normal distribution.
To examine the sensitivity of the findings to model specification, we entered exposure in the models using both categorical cutpoints and continuous variables, with the latter modeled as both untransformed and log-transformed.
In the model, both variables were transformed with the use of their natural logarithms to reduce the influence of extreme outliers.
Both variables were associated with the largest population attributable fractions and, when combined with the spatial analysis and the strong correlation between the presence of cattle, and particularly beef cattle and STEC cases at the meshblock level, it indicates that contact with cattle faeces is the major exposure pathway for infection in New Zealand.
Stiffness was an issue in the within-host model because of the wide range of orders of magnitude of both the variables (with cell numbers reaching 10) and the parameters, together with the sharp threshold on the DR growth at B r = 30.
