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The model accurately described Bushnell's (1999) results showing an increased proportion of hits with increasing signal intensity, decreased proportion of hits with increasing trial rate, and lower accuracy in a discrimination task compared to a detection task.
For example genes with ID 4 or 24 (which can be considered as negative controls) show no increased signal for increasing length or increasing concentration thus the observed increasing signal with length or concentration of probes is specific and is not due to cross hybridization.
Reduction of the autofluorescence is important to enable detection of weak fluorescent signals, increasing signal sensitivity.
These include developing a stable neural interface, significantly increasing signal processing capabilities, and methods of data transfer throughout the human body.
Increasing signal was also observed in the salivary and thyroid glands (sodium iodide symporter expressing organs) due to tracer metabolism/deiodination (Figure 4b,c,d,e).
These convex energy functions translate into convex forces that increase with increasing signal attenuation and compete for improved connectivity, as shown in Figures 2 and 3.
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The first was simply to move towards the most likely source location, which is beneficial in increasing signal-to-noise ratio, particularly in reverberant conditions.
Therefore, we conclude that dynamic hybridization based on a chaotic mixer design improves both the speed of hybridization and the maximum level of hybridization while increasing signal-to-noise ratios and reducing spot-to-spot variation.
Numerical examples and analysis of some special cases provide insights into the fact that the estimation accuracy of all parameters is enhanced with the increasing signal-to-noise ratio (SNR) and number of snapshots.
The DM-tradeoff [1] characterizes the maximum achievable reliability (diversity gain) for a given rate of increase of transmission rate (multiplexing gain), with increasing signal-to-noise ratio (SNR).
The MSE performance of the EM-based channel estimators (a) converges to the MCRB with increasing signal-to-noise ratio (SNR) and (b) outperforms the system where only pilot symbols are used to estimate h.
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