Sentence examples for distinguish the location from inspiring English sources
Possibly, the combination of the time intervals and the need to distinguish the location of two foods between four options, may have limited the quality of the encoding of where the foods were hidden.
The strength and the novelty of our findings comes chiefly from i) the clear functional dissociation we found in the same subjects, in the same experiment and using the same 3D objects, ii) the visual control condition enabling us to better define the visual properties of human AIP and to distinguish the location of AIP from the adjacent somatosensory cortex with higher accuracy.
However, BMI does not take into account the relative proportions of fat and lean tissue and cannot distinguish the location of fat distribution (10, 11).
When small neighbouring bones, such as those in the carpus or tarsus, are studied, we recommend marking neighbouring bones with different sized markers, as it enables the analyst to distinguish the location of markers in the oblique angled stereoradiographs, which in turn makes analysis easier and safer.
The specificity of chromodomains of effector proteins in binding to methylated lysine residues of histone proteins is so accurate that they can even distinguish the location of methylated lysines and the number of methylations (mono-, di-, or tri-) occurring in each of these lysine residues.
Considering the particular of features of the dataset in this paper, we propose a two-step method which uses a density-based clustering method to identify all types of stops in the first step and then use a supervised machine learning method to distinguish the locations of activity stops and non-activity stops in the second step.
We focus on the importance of location in explaining these preferences, distinguishing the location of residents (relative to the preferred landscape units) and the location of landscape units (relative to their positions on the urban rural gradient).
So they inevitably recommended using of genetic algorithm or neural networks for distinguishing the location and magnitude of a delamination in beam (Krawczuk and Ostachowicz 2002).
The C-DBSCAN algorithm achieves an accuracy of 90%% in identifying stop points in the first step, while the SVMs method is 96%% accurate in distinguishing the locations of activity stops from non-activity stops in the second step.
