One way to contextualize these residual costs is to use logic underlying the workload scale developed by Strayer et al. (2015b) to estimate, based solely on the DRT RT data, when the cognitive workload would reach a category 4 level (approximately 6 s), when it would reach a category 3 level (approximately 9 s), and when it would reach a category 2 level (approximately 15 s).
Yet, despite recent studies of usage and performance of these systems, the underlying processes that generate workload for the system have not been deeply studied.
To non-graphics folks, GRAMPS is a stream programming system that embraces heterogeneity in underlying architecture and anticipates streaming workloads that exhibit both regular and irregular (dynamic) behavior.
We found that the selections of ICF categories predicting nursing workload differed according to the underlying health condition, and were in line with the current literature [ 42, 43].
Although the capacity coefficient cannot directly distinguish between violations of independence and workload, we can speculate about the potential underlying mechanisms using previous research in conjunction with our findings: (1) There could be a limitation of workload capacity or (2) there could be dependencies between processing of the two sources of information (Eidels et al., 2011).
The mechanisms underlying the increased CBF in COPD at higher workloads needs to be investigated further.
Underlying issues that needed to be addressed were women's workload; lack of, or underuse of available, diverse foods; planning for meals and snacks using substitutions within food groups appropriately; food preservation and storage; and agricultural diversification for family diets, especially with regard to ASF, legumes and nuts, fats, vegetables, and fruit.
The central tenets of this work are the programming model, the workload splitting mechanisms, the code generation framework, and the underlying System S middleware and Spade programming model.
What Google is doing with this new producing is bringing together logs, metrics and events across the various Kubernetes pieces including containers, pods, workloads and clusters, and combining that with signals from underlying infrastructure.
Heavy workload at the beginning of the semester was another crucial point underlying students' motives to join the course.
