Sentence examples for sensitivity of response from inspiring English sources

Exact(16)

Such sensitivity of response should make nails relatively good indexes of the health of individuals.

In addition, microplate bioassay had advantages concerning the sensitivity of response, time of incubation, and amount of culture medium and solutions required.

Based on the similarity of phase encoding across sites, and the consistency and sensitivity of response phase measured within ICc, results suggest that a general property of the auditory system is a high degree of sensitivity to fine-grained phase information inherent to complex acoustical stimuli.

By expanding the dynamic stiffness matrix about its reference value, the advantage of Neumann Expansion technique is explored within the framework of Monte Carlo simulation, to compute responses as well as sensitivity of response quantities.

Direct exposure to aqueous solutions may cause unpredictable parasitic coupling to the surrounding, which results in changes in the sensitivity of response of the device to changes in environmental conditions such as salt concentration and pH.

Further optimization of the assay and sensor format is required to improve the sensitivity of response to Δ9-THC.

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Similar(44)

A principal component analysis (PCA) was used to evaluate the overall sensitivity of responses to UV-B radiation.

The AChase inhibitor, physostigmine, caused 1) greater sensitivity of responses elicited by electrical field stimulation in 2ws (P < 0.05) but not in 10ws (P = NS), 2) augmentation of maximal responses to exogenous ACh in 10ws (27% increase; P < 0.01) but not 2ws (2% increase; P = NS), and 3) a greater increase in sensitivity to cholinomimetic activation in 2ws compared with 10ws (P < 0.02).

Variation in the size of the maps alters the sensitivity of responses to stimuli while spatial segregation of neurons responding to selective parts of a stimulus allows for finer perceptual discrimination.

The sensitivities of response of the structure when under sinusoidal, impulsive and random excitations is calculated, and their properties discussed.

The resulting compact representations for the response quantities allow for efficient and accurate calculation of sensitivities of response statistics with respect to the design variables which are then fed into a gradient-based optimizer that searches for the optimum design.

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