At cycles 2 and 3, the questionnaire included 20 items on frequency and duration of participation in different physical activities (e.g., walking, cycling, sports) that were used to compute hours per week of each intensity level.
At phase 7, the questionnaire was modified to include 20 items on the duration of participation in different physical activities (eg, running, cycling, other sports, housework and gardening activities) that were used to compute hours per week at each intensity level.
Hierarchical regression models were generated for criterion variables cognitive reflection and sustained attention, with 7 predictors entered in three steps: (a) demographics (age, gender, education); (b) computer usage behaviour (daily computing hours, daily computing sessions, mobile use percentage); and (c) trait mindfulness.
Computing hours and computing sessions were significant individual predictors of sustained attention, whereas computing hours, mobile use percentage and gender were significant predictors of cognitive reflection.
Site failures usually force to restart from the beginning, losing many computing hours.
Spotinst says that its business grew 30percentt month-over-month in the last year and that it now "manages hundreds of millions of computing hours for its customers".
Each kingdom-wide analysis consumes over 1600 computing hours (more than 60 computing days), incorporates tens of thousands of individual data files, and requires 11 different scripts to be executed a total of over 12,000 times and thus would not be feasible without the high-throughput capabilities employed by SIPHT.
We calculate efficiency as a function of data size and observe that the Hadoop platform is more efficient for biologically relevant data sizes in terms of computing hours for both split and un-split data files.
The data analysis for the whole data set required around 1,200 computing hours, and was performed in the GRID infrastructure provided by the Virtual Laboratory for e-Sciences project (www.vl-e.nl).nl
The surprising result was that IMGDock needed significantly less computing hours in total for more parallel jobs and smaller input files if all runtimes are added up including the scheduling time via the batch system.
