But in March a deliberate decision was made by upper management to abandon their goal of dethroning HP and instead focus on making better, more distinguishable products.
Acer's founder, Stan Shih, speaking recently at an event in Taipei, said that Acer needed to take its sights off of being the world's biggest PC vendor and (presumably) focus on better and more distinguishable products.
This suggests a weak-positive sample tested on a platform like the HerdChek™ may stand a better chance of remaining distinguishable from the mean negative-sample result, despite potentially being labelled as "negative" by the X-Chek™ software.
More distinguishable spectra allow for better classification thus lower false alarm rates, which in the end is the major challenge of standoff detection.
The patterns indicated that, for most people, overall wellbeing was quite good, with all aspects as similar levels, but there were distinguishable groups with substantively better wellbeing in some domains than others.
As described above, it is also possible – particularly for deletions or duplications of short sequence repeats – that a read aligning from one side of the junction would not be distinguishable as matching the junction better than the reference unless it aligned a certain number of additional bases past the breakpoint.
For example, techniques that involve needling (and which are less likely to be distinguishable and therefore are considered as better for blinding) can cause relevant physiological responses [ 66].
His disciples wear white smocks with white cowboy hats, and believe that God will manifest himself as an exact replica of Mr Chen, distinguishable from their master only by his better sense of humour.
Ustin and Gamon (2010) proposed the new concept of "optical types" (OT), meaning "optically distinguishable functional types", as a way to better understand remote sensing signals related to the actual functional behavior of species that share common physiognomic forms but differ in functionality.
Strengths of this study include its use of CFA, a model-based approach, which showed that the standard model of child anxiety disorders (as distinguishable but related entities) was a significantly better fit to the data than any alternative model.
