The neural network was therefore applied to model the relationship because, in principle, this model accounts for various implicit or explicit relationships [ 28, 29].
We used a moving average of daily apparent temperature and its quadratic term in each model because of potential nonlinear relationships between apparent temperature and health outcomes.
Additionally, household income below $20,000, which had the least amount of missing data, was included in each model because prior research has demonstrated a strong association between income and reported ventilation use.
We also included daily rainfall in each model as, because of thermoregulation constraints, this variable can influence primate locomotion and activity budget (Ganas and Robbins 2005; Majolo et al. 2013) and ultimately their energetic status.
Because baseline, nonwork HRV was included in each model, personal factors (including cardiac risk factors) that do not change between work and nonwork measurements were unlikely to introduce bias due to confounding.
The classical solution is much better, because in classical models, pervasive systematicity comes for free.
This is because, in these models, the load was applied axially (that is, as a uniform displacement).
This should hold true because, in both models, the physician will treat all high priority before low priority patients and delegates will only treat low priority patients.
When using digital beacons, "practice is essential," said Christian Santelices, a senior guide with Exum Mountain Guides in Grand Teton National Park in Wyoming, because each model conveys data differently.
This result does make sense because in our model all patches are connected with an equal separating distance.
