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Sentence examples for weak measures from inspiring English sources

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"weak measures" is correct and usable in written English.
You can use it to describe measures that are not very effective or that are not strong enough. For example: The government's weak measures have not been enough to stop the spread of the virus.

Exact(7)

More concerns were raised about the potentially weak measures that companies employ to protect and secure data over the internet.

The recent chemical spill disaster in West Virginia has brought into sharp focus the weak measures we have in place for safeguarding people and the environment against exposures to harmful chemicals.

Pollock has been an honest critic of the financial bailout program and the weak measures undertaken by both the Bush and Obama administrations to stem the epidemic of mortgage foreclosures.

Problems that run through all these studies are weak measures of exposure to secondhand tobacco smoke, the use of main roads rather than highways as the exposure group and modeled rather than measured air pollutants.

Although earlier reports had suggested no increase in fighting in girls with CAH [ 43, 44], these reports were based on small samples and used weak measures (e.g., unspecified or single interview questions).

Second, in this particular instance, it is well-known that ratio measures of condition such as BMI have poor statistical properties and are weak measures of condition [e.g. [ 48]].

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Similar(52)

Photosynthetically active radiation (PAR) measurements were made in the presence of a weak measuring light (F0) and then during a 1 s (8000 µmol photon m−2.saturatingating pulse of light (Fm).

To be fair to the government, even this weak measure met with fierce opposition from much of the corporate sector and their tax minimisation advisers.

The measure (mu_{mathrm {ut}}) is slightly weaker than the weak measure of tightness studied in [6].

Second, we found a weak measure of invariance across groups with respect to the threatening factor scales used in this study.

For instance, using a very high cut height or dissimilarity threshold would result in most websites being included in one giant cluster since a weak measure of similarity is enforced during the merging process.

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