We first covered them back in September, where we compared them with the other major social networks.
The extracted features were selected based on a preliminary analysis where we compared the performance of different feature sets.
We evaluated the effectiveness of EMF through four experiments where we compared rare target detection rates between EMF and control groups.
First, this is a single-center study where we compared a GDFR strategy to standard hemodynamic management at West China Hospital in Chengdu, Sichuan.
We report results on southeastern Vancouver Island, Canada, where we compared environmental conditions represented across the entire landscape, in oak savanna habitats prior to European settlement (<1850), and in both protected and unprotected oak savannas in the present-day.
Consequently, we carried out a laboratory based drying experiment where we compared the water repellency of two dominant peatland moss species, Sphagnum and feathermoss, for several burn severity classes including unburned samples.
To address this question we performed field observations where we compared demographic data collected at un-manipulated areas invaded by Megathyrsus with un-manipulated areas non-invaded by this exotic grass.
One finding of interest is the performance of QoE prediction where we compared the output from the affect-based framework with the user feedback (both on a 3-point scale of quality levels).
We repeated the same experiments on the C K+ database, a controlled database, where we compared the seven and the five selected algorithms for m 7 and m 17 landmark sets, respectively.
In our second set of experiments where we compared RAGE KO and WT mice in a 2-hit model, we observed higher pulmonary cytokine and chemokine levels in RAGE KO mice undergoing LPS/high tidal volume MV as compared to WT mice.
Since the Air Quality Health Index is a single discrete scalar value, we observe a step plot represented by the lines of the chart depicted in Figure 16, where we compared the accumulated average of the index with and without QoD for levels of changes in the number of hotspots of 20, 40, 60, and 80%.
