The phrase "are sensitive to characteristics" is correct and usable in written English.
It can be used when discussing how individuals or systems respond to or are affected by specific traits or features.
Example: "The researchers found that the participants are sensitive to characteristics such as age and gender when making their decisions."
Alternatives: "are responsive to traits" or "are aware of features".
Since the superficial layers of the SC are sensitive to characteristics of the visual stimulation itself, it is important to consider whether the contralateral enhancement might have been due to changes in the visual input prior to or after saccade execution, rather than from the saccade generation per se.
In all settings considering trials, consent processes should be designed that are sensitive to characteristics of adolescent decision-making.
The results in the present study support the notion that accuracy measures rather than RT measures are sensitive to characteristic deficits in children with ADHD [ 12, 13].
These conclusions should be considered tentative, as they may be sensitive to characteristics of the available data.
Iterative algorithms are sensitive to curved characteristics [32].
Grasshoppers were used as potential indicators, as they are sensitive to habitat characteristics of ENs.
Animals are sensitive to various characteristics of light, such as intensity, color, and linear polarization [1, 2].
It is also imperative to note that both airport and airspace resources can be better allocated when policies made are sensitive to the characteristics of attributes considered.
Studies have shown that there are several artifacts that heavily influence the processing of data for different purposes (Gomez-Alvarez et al., 2009; Huse et al., 2007), and especially methods that do not directly use flow values are sensitive to the characteristics of pyrosequencing data.
Scores are sensitive to patient demographic characteristics such as ethnicity and age [ 19, 20] and to characteristics of the practice [ 21- 23].
Since automatic segmentation algorithms are sensitive to the image characteristics, we designed a self-adaptive optimization system for an automated cardiac left ventricular contour detection algorithm.
