Sentence examples for are influenced by differing from inspiring English sources

The phrase "are influenced by differing" is correct and usable in written English.
It can be used when discussing how various factors or perspectives affect a particular outcome or situation.
Example: "The results of the study indicate that participants are influenced by differing cultural backgrounds in their decision-making processes."
Alternatives: "are affected by varying" or "are shaped by diverse".

Exact(1)

Key mechanisms of 'othering' are influenced by differing social identities that concern gender, race, class, age, education, religion and social, political and cultural background [ 10].

Similar(59)

Consequently, phenotypic variations observed in the field such as size, shape, and cap color may be influenced by differing conditions of light color and intensity.

Their perception was influenced by differing preconditions related to the competitive situation locally as well as variations in management skills.

Nonetheless, these additional analyses do highlight that bias to positive signal trials, and discriminability to neutral signal trials, may be influenced by differing noise conditions.

Consequently, any reduction in new infections due to drug treatment (and how this may be influenced by differing transmission settings) is not currently examined, limiting the translation of any findings.

Teaching is influenced by differing drivers from research, which may result in early-career teachers having reduced choice in setting the scope of their activities compared to their research equivalents.

Patient-family discord about treatment decisions can be influenced by differing perceptions of stress and symptoms or goals for cancer care (Zhang and Siminoff 2003b; Siminoff, Rose, et al 2006).

Since outcomes differ so much among advertisers and are influenced by many different factors, we encourage advertisers to experiment with their own campaigns.

Moreover, indirect measures of body composition such as BMI and waist circumference are influenced by confounding factors that differ throughout development, which limit the value of these measures in longitudinal studies.

The rankings of the methods for each dataset according to the median percent correct are the same as those according to the median R m 2 – ; however, the median percent correct values could not be compared across datasets because percent correct values are influenced by the MAF which differs among datasets.

Additional work is necessary to explore how these measures are influenced by data from populations with differing demographic histories, particularly those that experienced recent decline followed by a rapid recovery.

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