Sentence examples for section prediction from inspiring English sources
As we will see, this will diverge considerably from what has been considered as attention or prediction in the previous literature as summarized in Section Prediction and attention have often been confused in previous research.
(2011, see Section Prediction effects uncovered in the absence of stimulation: omission paradigms in the current paper), auditory perception can be understood as an internal model of the sensory input that is a result of a hierarchical cascade of prediction errors being compared with top-down predictions at different levels of the processing hierarchy.
To further assess the KissR diversity in sauropsids, we performed TBLASTN in the eighteen sauropsid genomes mentioned in section Prediction of sauropsid KissR genes using human KissR1, anole KissR2, Xenopus GPR54-1b (KissR3 according to our classification [ 21]) and predicted coelacanth KissR4 peptidic sequences as query.
The presented calculation techniques should enable more accurate collision cross section predictions under experimentally relevant conditions than pre-existing approaches, and should enhance the ability of collision cross section measurement schemes to discern the structures of gas phase entities.
To sum up, in this section on prediction, we have reviewed on the one hand evidence that responses to prediction-matching stimuli are attenuated, and on the other hand that the underlying prediction-related activity can be uncovered with omission paradigms.
In light of this, the current research therefore proposes a feasible algorithm of dynamic section flow prediction based on the automatic control theory and observer design for roadway sections with insufficient data sources.
Most computer codes in Radar Cross Section (RCS) prediction use Physical Optics (PO) and Physical theory of Diffraction (PTD) combined with Geometrical Optics (GO) and Geometrical Theory of Diffraction (GTD).
For the Reader Tier, since the workload consists of online web requests, the intensity of the workload is specified by request rate w(t) as discussed in Section Workload prediction.
However, for STC cases (trapezoidal section), the prediction of (tau_{text{b}}) somewhat disagrees with the experimental values in the junction region between the main channel and the floodplain, particularly in low flow cases.
There are many kinds of predictor functions as will be discussed in section 'Class prediction algorithm'.
Our method is composed of three steps: pre-processing (Section 2.3), prediction of interaction hotspots (Section 2.4), and building ligand conformations (Section 2.5).
