Sentence examples for to asses whether from inspiring English sources
The Pentagon conducts annual reviews of the detainees to asses whether they are still properly classified as enemy combatants.
So the EPA has to asses whether water quality in nearby streams is "above levels believed to cause excursion of water quality standards or significant degradation".
NYPD spokesman Stephen Davis told the Associated Press that investigators from counterterrorism and intelligence bureaus had met with Geller and will lead a "comprehensive threat assessment" to asses whether she needs a security detail.
The purpose of this study was to asses whether compression affects movement mechanics and increases sport performance.
For this reason, there exists a need to asses whether wind turbines (WTs) will comply with such functionalities to ensure power system stability.
A cross-sectional design was used to asses whether Dutch midwives trained to use a smoking cessation counseling protocol appreciated it and could implement it in routine care.
To functionally asses whether these changes contribute to the altered lipid storage capacity in pept-1, we employed RNA interference (RNAi) and silenced seven selected genes that on avarage showed increased mRNA levels (pmp-4, F08A8.2, T05E7.1, W03D8.8, ech-8, ech-9, C17C3.1) followed by measurements of fat accumulation.
His lawyer Rosa Curling told VICE News the case will challenge the government's "ongoing failure to properly asses whether UK aid money has been involved in Ethiopia's villagization program, a program which had a devastating effect on our client and his family".
One means to asses normalization success, is to determine whether the average number of ESTs per ribosomal gene contigs does not exceed 5x the average number of ESTs for all other contigs [ 3].
The objectives were to asses' costs benefits, viability for water harvesting adaptation and whether benefits exceeded costs.
IRT also enables to asses specific discrepancies between observations and model predictions, known as residuals, to evaluate whether the intended inferences made from the model are trustworthy (Glas, 2016).
