The approaches described in this chapter are a reconsideration of building design in systemic terms – understanding all layers and components of building design and their complex interrelationships over time.
Although RD, self-management behavior, and glycemic control are core constructs central to the treatment of type 2 diabetes, the mechanisms underlying their interrelationships over time are not well understood.
These studies model the interrelationships of hazard, exposure, and health over time and space.
We assessed the interrelationships among the baseline covariates, the changes of post-randomization IOP over time, and the risk of developing POAG, using a latent class analysis (LCA) which allows us to identify distinct patterns (latent classes) of IOP trajectories.
The model highlights the interrelationships and feedback loops that occur over time such that the process is grounded in the social cultural and political contexts, unfolding over time and facilitating or inhibiting the outcomes.
The formulas are based on numerically and graphically scored decision actions, on the interrelationships among decisions over time, the interrelationships among decisions with incoming information, as well as decision planning and other components of participant activity.
Time Geography mainly focuses on interrelationships between activities in time and space, and how these interrelationships impose constraints on human behavior (Miller 2004, 2005).
Additionally, we applied structural equation models to examine genetic and environmental influences on adiposity, adiposity change over time (ACO), ISI 0,120), and the interrelationships among them.
The most powerful observation methods for understanding the interrelationships among sympatric species require standardized and repeated observations of populations over time, seasons, habitats and geographic space.
