Although many other regions participate in semantic matching tasks (e.g., Fig. 1 a and Table 1), the inclusion of other regions is not needed to investigate our main hypotheses using the current deterministic implementation of DCM in SPM8 (e.g., see extended "stochastic" framework for modeling "missing regions" in Daunizeau et al. 2009).
One of the main hypotheses used to obtain a population density model is that the population is homogeneous, i.e., all the neurons of the population have the same properties, and, in our case, are individually described by the model (1).
(D) Two main hypotheses tested using replicate exome data: (i) Biases in sequence capture resulting in poor coverage are addressable through repetition (ii) Library replication is beneficial to overall interpretation of sequence variation data.
To date, two main hypotheses are used to explain the folding of ligand binding coupled protein conformational adjustment.
We aim to achieve an overall picture of things, which could make it possible to focus on the main problems and identify hypotheses using cluster analysis (CA) and principal component analysis (PCA).
The main hypothesis will be tested using logistic regression controlling for baseline values and cluster using robust standard errors.
Before we present our results, let us review briefly the main properties and hypotheses used for simulations.
Our main hypothesis will be tested using a cluster-randomized controlled trial comparing outcomes between the intervention and control groups at follow-up.
This concept can be formalized by establishing the main axioms and hypotheses used for interpretation of molecular spectra [6, 8].
Employed people aged 60 years old and over are not taken into account because the main hypothesis of the methodology used in this paper, responsiveness of the employment rate to fluctuation in economic activity, does not hold for them.
