Sentence examples for signal achieved from inspiring English sources

An enormous suppression of ERK signal achieved maximal tumor growth inhibition in both B-raf and K-ras xenograft models.

Applying a 33.1 MHz with 1.4 Vp−p (−6dBFS) input signal, achieved SNDR is 61 dB resulting in 9.8 Bits ENOB with total power consumption of 42 mW.

The compatibility of G. xylinus and recombinant E. coli strains was first investigated for co-cultivation, and the relationship between the number of entrapped E. coli and the level of inducible signal achieved was further explored by fluorescent signal observation in confocal microscopy.

Here, a similar frequency and acceleration magnitude also served as a stimulatory signal, achieved in the absence of weightbearing, and thus the absence of directly applied matrix deformation.

To generate <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0012355.e114.PNG" class= inline-graphic"/> values, first a quantification threshold was chosen that represented about 10% of the maximum signal achieved in a dataset (0.1 for our data, 0.05 for rutledge data and 1 for reps data).

Furthermore, the radioactivity signal from this tracer is lower than the signal achieved with more specific Aβ radiotracers, leading to difficulties in quantification [ 21].

Notably, the amplitude of the ODMR signal achieves ~ 1.5% for the H composite that is a rather high value as compared to the typical ODMR signals in different semiconductor materials [15].

Comparing (15) and (29) reveals that as long as |a1 - ω1|< |a1|, i.e., the estimation error of ω1 is smaller than |a1|, the LPFT of the chirp signal achieves a smaller bandwidth than the STFT.

If such a control input signal achieves the required output trajectory in an experiment, then the model is more accurate than another model which gives a different output trajectory for this particular input.

The average recognition accuracy of unit saccadic signals achieved 99.0% (before sample optimization) and 99.57% (sample optimized) over 10 participants, which reveals that the proposed algorithm presents an excellent classification performance in saccadic signals recognition.

The enhanced Raman signals achieved from each cell, which represent the changes in biochemical compositions, enabled differentiation of each state and the conditions of the cells.