Results showed that a significant increase in diagnostic performance can be achieved when combining the radiologist PIRADS score and CAD system likelihood into a combination score.
Obviously, unique estimation can also be achieved when a combination of the 3 output equations are used (i.e., simultaneously fitting the model to two or three datasets from [ 55] and [ 61]), as was performed in [ 49].
We show that up to 80% energy savings can be achieved when using a combination of WiMedia as SR and WiFi as long-range technology, compared to using WiFi without cooperation.
Successful orthogonal combinations can be achieved when the appropriate stationary and mobile phases are carefully chosen with respect to the physicochemical properties of the sample constituents, including size, charge, polarity, hydrophobicity, etc.
Transmission electron microscopy (TEM) and atomic force microscopy (AFM) determined that a 1-D fibrillar structure was obtained when the hard segment featured ureas whereas a 3-D structure was achieved when a combination of urea and urethane groups was used, giving rise to enhanced elongation properties.
A sensitivity and specificity of 81% was achieved when a combination of parameters was used.
The highest survival levels (over 60%%) were achieved when this combination was augmented with shredded bark or decaying litter plus a covering layer of moss for water retention (Dohling et al. 2008).
Our analysis showed that the performance of PromoBot varied depending on the negative dataset and that the second highest sensitivity and specificity were achieved when the combination of mRNA, miRNA, rRNA and tRNA gene sequences was used for the negative set (Table 8).
Nonetheless, in recent trials, SLN identification rates of 95 97% are achieved when using this combination, and use of only 1 agent results in significantly lower identification rates.
Optimal prediction of the presence or absence of active TB was achieved when antigens were used in combinations of four.
