Sentence examples for multiple labels for from inspiring English sources
In addition, aggregating nausea rates across multiple labels for the same active ingredient was challenging due to inconsistencies or redundancies in the information.
In contrast to other data sets, it takes things up a notch by offering multiple labels for bounding boxes within relevant scenes.
From each rat, selected sections were processed for (1) immunohistochemical labeling for VGLUT2; (2) detection of tracers; (3) multiple labeling for detection of the anterograde or retrograde tracers and immunohistochemical detection of VGAT or GAD65 and VGLUT2; (4) double labeling for detection of NeuN and VGLUT2; and (5) nonradioactive in situ hybridization using VGLUT2 cRNA as a probe.
Moreover, CLabel succeeds in providing label variety when multiple labels are required for a suitable resource annotation, thus avoiding duplicate or repetitive labels.
These results demonstrate the utility of using multiple labeling locations for spFRET studies to probe global protein symmetry, particularly for larger proteins.
If Gucci is to become a multibrand fashion house, can one creative czarTom Fordreally be expected to crank out cutting-edge ready-to-wear collections for multiple labels, year after year?
The method developed in the present study appears suitable for conventional light and fluorescence microscopy, combines advantages of fluorescence and chromogenic in situ hybridization protocols and thus provides a reliable non-radioactive alternative to previously published multiple labeling methods for coexpression analyses in which one mRNA species requires highly sensitive detection.
It is, therefore, crucial for carefully selecting a good strategy for learning with multiple labels.
Two datasets for classification of respiratory sounds with all labels including ones with multiple labels (17,930 audio clips, 78 classes).
Similarly, Awah [ 120] and colleagues (2009) found that among 72 patients with diabetes, there were multiple indigenous labels for diabetes, which translate to phrases such as 'sugar, sugar sick' or illness that originates from "too much sweet things".
In the model presented by Ge [40], there is a single target domain with limited labeled data and multiple labeled source domains for knowledge transfer.
