The phrase "trivial measures" is grammatically correct and can be used in written English.
It refers to actions or steps that are unimportant or insignificant in comparison to the overall situation. Example: "The company's CEO was determined to improve productivity, but his plan only consisted of trivial measures like rearranging the office furniture."
(A year is no trivial measure in SNCC's history: in 1967 Carmichael was still a leading spokesman, but in 1968 he was fired, ostensibly for failing to clear his speeches with the national office).
Physically restraining a patient should, therefore, never be considered a trivial measure.
At this level many merges have already occurred (measured by size), clusters are non-trivial (measured by the average E-values for all possible protein pairs in the cluster), and are stable (measured by Life Time).
The compressive force on the NW can be easily measured from the deflection of the AFM cantilever; however, it is not trivial to measure the friction force.
Ideally, we should know the interstitial glucose concentration in the tumor microenvironment, and while the relationship between blood and tissue glucose is of intense interest and active study, it is still not trivial to measure [41 43].
For example, if SKOV3 and HeyA8 (the O2 insensitive cell lines) proliferate more slowly, O2 dependent proliferation changes may be too trivial to measure.
The performance gain from each type of word representation features was not trivial (F-measures: 85.74% for clustering-based or distributional word representation features vs. 85.42% for the the baseline).
In the context of DBS, from an experimental standpoint, it is not trivial to measure the membrane potential during stimulation (e.g., due to stimulation artifacts) and to determine whether a single neuron is actually silent or displays low-amplitude subthreshold membrane potential oscillations.
As had been demonstrated by the work of the Foresight Committee on obesity [ 8], the task of developing a whole systems understanding of the causal mechanisms that lie behind a major public health issue can seem relatively trivial when measured in relation to the task of deriving meaningful interventions designed to tackle those issues.
