The phrase "an effective sensitivity" is correct and usable in written English.
It can be used when discussing the ability to respond appropriately to emotional or situational cues, often in contexts like psychology, communication, or marketing.
Example: "The therapist demonstrated an effective sensitivity to her client's needs, allowing for a more productive session."
Alternatives: "a keen awareness" or "a strong responsiveness".
We measure for both B0 field scenarios an effective sensitivity of about 3.1%.
This paper presents an effective sensitivity analysis algorithm for free vibration of a rectangular plate structure by using the finite element-transfer stiffness coefficient method (FE-TSCM).
The approximations are combined with an effective sensitivity analysis of the reliability constraints in order to generate explicit expressions of the constraints in terms of the design variables.
At this stage, the BRCA1 c.5074+3A>C, BRCA2 c.1834G>A, c.2971A>G, c.3807T>C and c.9458G>C variants were not detectable but subsequent amplicon redesign as used in the final protocol led to their detection and an effective sensitivity of 100%.
With the advent of highly complex engineering simulation models that describe the relationship between input variables and output response, the need for an efficient and effective sensitivity analysis is more demanding.
The results show that nanowires of a T-profile present more effective sensitivity enhancement than an inverse T-profile.
In multi-parameter periodic systems, repeated numerical integration to obtain the Floquet matrix may be a limiting factor, and effective sensitivity analysis of stability characteristics is therefore needed.
We here introduce the term mean "effective" sensitivity (MES) as a measure of the sensitivity within a herd.
As high shedding individuals are detected and removed from the population the effective sensitivity drops, demonstrating a fundamental limitation of any test which is not effective at the early stages of infection.
We aimed to develop an effective drug sensitivity test platform to support individualized treatment.
In 1991 Morris proposed an effective screening sensitivity measure to identify the few important factors in models with many factors.
