Sentence examples for characterizes common from inspiring English sources

It characterizes common and emerging assessment practices in terms of Evidence-Centered Design (ECD), with a particular focus on those parts of the argumentation that are instantiated in the statistical model.

I will review this definition here, and then show that it is logically equivalent to the 'i knows that j knows that … k knows that A' hierarchy that Lewis (1969) and Schiffer (1972) argue characterizes common knowledge.[9] In words, K1 says that if i knows A, then A must be the case.

Linkage studies for complex disease proved extremely difficult due to a lack of sufficient genomic resolution to identify disease-associated loci using microsatellite markers and inadequate power to detect an association, largely due to the significant locus heterogeneity that characterizes common disease (John et al. 2004; Altmuller et al. 2001; Xiong and Guo 1998).

To characterize common variable immunodeficiency disorder (CVID) in childhood.

Principal component analysis (PCA) has been applied to characterize common modes of variation in shape and kinematics.

Lewis is credited with the idea of characterizing common knowledge as a hierarchy of 'i knows that j knows that … knows that A' propositions.

In this study, pulse-echo ultrasound, laser Doppler vibrometry and Schlieren imaging were applied to noninvasively characterize common in vitro experimental configurations.

In this investigation, the ability of the proposed vision system design to consistently detect and characterize common topographical defects present in smooth, highly specular coatings is evaluated.

In addition, the NIEHS Environmental Genome Project (EGP) is working to systematically identify and characterize common sequence polymorphisms in many genes with suspected roles in determining chemical sensitivity.

bioinformatics analysis of natural autoantibody reactivities makes it possible to characterize common patterns of reactivity, for example, in mice patterns predictive of a future autoimmune disease [1].

This matrix is decomposed using singular value decomposition (SVD) to identify latent variables (LVs), which are orthogonal patterns of brain activity that characterize common or different patterns of group-level FC across "blocks", thus assessing both spatial and temporal aspects of FC.