Sentence examples for flexible matches from inspiring English sources

SMOTIF also allows flexible matches using IUPAC symbols.

We assume that S is over ΣDNA, whereas, ℳ MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBamrtHrhAL1wy0L2yHvtyaeHbnfgDOvwBHrxAJfwnaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaWaaeGaeaaakeaaimaacqWFZestaaa@3790@ is over ΣIUPAC to allow for more flexible matches.

We recently introduced the concept of flexible matching strategies with varying proportions of a dichotomous matching factor among controls to further increase power and efficiency.

Ridejoy's iPhone app also includes another cool distinguishing feature in its ability to serve users with flexible matching, pairing users by route instead of city-to-city.

Our program will strongly facilitate assessing the benefits of matching and flexible matching strategies in case-control studies addressing multiplicative interactions, including gene environment interactions.

Pulsed vacuum arc and simultaneous substrate biasing can provide the capability to optimize film properties through flexible matching of processing parameters.

To provide flexible match schemes and increase the trading scale, we allow "all-or-nothing" principle for demanders and "one-to-many" principle for suppliers.

However, our method overcomes this problem as we align different successive frames before obtaining difference image and apply a flexible matching for each of the edge segments of current image which can tolerate the minor movement of camera in video sequence.

The proposed method does not suffer with the problem as edges are extracted as segments from current image and flexible matching is used to obtain the moving edges. Figure 8(f) shows moving edge detection result using proposed method whereas Figure 8(g) shows the segmentation result.

We describe in this paper a novel biometric methodology for face recognition suitable to address pose, illumination, and expression (PIE) image variability, temporal change, flexible matching, and last but not least occlusion and disguise that are usually referred to as denial and deception.

3. Create a Flexible Matching Fund.