Sentence examples for low-level functional from inspiring English sources

We adapted the model by Wilson et. al. [3] that explains the properties of traveling waves for stationary stimuli in terms of the characteristics of low-level functional connectivity.

We take a data-driven approach for comparative functional genomics [ 5] that includes automated annotation of genotypic variables in 28 low-level functional categories [ 9] and RF machine learning for prioritizing the variables [ 6].

Although the Pax8+/Cre driver is active in the ureteric bud, the Nes-Cre seems not to be active there (Fig. 1), making low-level (but functional) Wt1 expression in the ureteric bud an unlikely cause of the phenotype.

Thus, the fly is motivating new conceptual frameworks for how low-level multisensory circuits and functional algorithms produce high-performance motor control.

This rather implies that any 11β-HSD2 mRNA outside the NTS-sodium appetite/central cardiovascular control circuitry is low-level expression without clear functional importance.

Table 2 Two hundred five acoustic features in the proposed feature set (EmoFt): low-level descriptors (LLD) and functionals (brute-force combination) as well as features derived from the long-term average spectrum (LTAS) and three other features(see text) 19 LLD Loudness, spectral flux and entropy Energy in bands 0 0.5 and 0 1 kHz Slope of log.

Thus, significant attention is currently focused on identifying which types of immune cells and biomolecules are critical targets of low-level organic mercury and their functional consequences on overall immune status.

Skill tests in wheelchair basketball showed significant performance differences between opposite functional classes (low-level lesion and high-level lesion or cerebral palsy) with similar performance between the low classes represented by 1.0 to 2.0 points but reduced with minimal disability such as in classes 2.5 through 4.5 [ 28].

Fourth, as applications, we obtain the first asymptotic pointwise and uniform inference results for plug-in sieve t-statistics of exact consumer surplus (CS) and deadweight loss (DL) welfare functionals under low-level conditions when demand is estimated via sieve NPIV.

The module of acoustic feature extraction was implemented based on the tool of openSMILE [47], an open-source software that can extract many low-level acoustic features and statistic functionals.

In this study, we used the same feature set, a set of 1,532 acoustic features based on several acoustic low-level descriptors (LLDs) and statistics (functionals), used in the INTERSPEECH 2010 Paralinguistic Challenge [32].