Sentence examples for predetermined work from inspiring English sources

Although cognitive performance has been examined during and following exercise in the heat, the analysis is typically done using either change in hydration or exercise rate (e.g., exercise at a % of VO2peak, absolute work rate, or completion of predetermined work tasks) [ 1, 2, 7] as the independent variables.

Yolk and plasma samples were diluted based on predetermined working dilutions for adult plasma, yolk and nestlings of each sample age group nestling age (Table S1).

Experiments done for science classes are usually predetermined to work.

A cleverly but comfortingly structured romp of mistaken identity and stolen opportunity, it's a rare contemporary romantic comedy in which attraction doesn't seem predetermined; its characters actually work toward an appreciation of each other.

only really works with predetermined keywords.

Building on artists such as John Cage and Sol Lewitt, he works from predetermined systems that generally involve the translation of information from a source material into another medium: translating the notes of a musical score into colors and patterns for a painting, for instance, or using the visual dynamics of a painting as a score for generating sound.

Before this new course was implemented, the existing introductory biology lab course was a standard "cookbook" course in which the topics and organism studied changed every 2 wk and students worked through predetermined protocols to get a known "right" answer.

It is expected that after a person has worked a predetermined amount of time, s/he should have achieved a certain level of expertise.

Your hours of work are not predetermined and will be notified to you on a weekly basis as soon as is reasonably practicable in advance by your store manager.

Being field experiments, we had to work with these predetermined groups in both experiments.

When the outcomes of their work are not predetermined, students must make decisions such as how to interpret their data, when to track down an anomaly and when to ignore it as "noise," or when results are sufficiently convincing to draw conclusions (Duschl et al., 2007 ; Quinn et al., 2011 ).