Sentence examples for space extract from inspiring English sources

Stimulation with a nymphal bed bug head space extract elicited a significant response of ORNs housed in both grooved- and smooth-peg sensilla (25 and 58 Hz, respectively; Mann-Whitney: ZCsensilla = -2.556, P < 0.01 and ZDsensilla = -3.098, P < 0.001).

Classifier methods represent pattern recognition techniques that try to partition a feature space extracted from the image using data with known labels.

Partial least squares (PLS) is a multivariate regression method that projects the input output data down into a latent space, extracting a number of principal factors with an orthogonal structure, while capturing most of the variance in the original data.

I then intersected each fundamental niche with the realized climate space extracted from WorldClim to obtain an estimate of the potential niche.

b Database of E. coli sequences (reduced search space) extracted from the E. coli-S.

This demonstrated that the feature space extracted by the RFBE had greater class separability than that extracted by the RWPE.

The iBFE method is motivated by the observation that the accuracy of disease class discovery and classification can be significantly improved in the feature space extracted from the original data [ 18– 20].

Inspired by the simulation results and the fact that disease class discovery and prediction can often obtain better results in the feature space extracted from the original data [ 18– 20], we proposed a novel method, called iBFE, for integrating diverse genomic data types towards accurately diagnosis and prognosis.

While an SVM classifier was considered to discriminate between preictal and nonpreictal states in [ 76], the authors used a 22 linear univariate feature space extracted from six EEG recordings for each of the 10 patients from the European database on epilepsy.

In contrast, prior literature (Koutstaal et al. 2001; Vuilleumier et al. 2002; Simons et al. 2003; Dehaene et al. 2005; Devlin et al. 2006; Vinckier et al. 2007; Szwed et al. 2009) has shown that the posterior part of LvOT (posterior to y = −60 mm, MNI space) extracts visual form information that is not retinotopically bound but "abstracted" away from low level, location bound visual inputs.

The topology of the building spaces extracted from IFC together with additional information about accessibility between them is used to search for the optimal routes.