Psychophysiological interaction (PPI) analyses (Friston 1997; Gitelman et al. 2003) were used to examine changes in functional connectivity between regions of interest as a function of SART block type (EF or EM) and participant anxiety or worry levels.
We have then examined the evolution of the ensemble-averaged observables of interest as a function of the average chord length of the random geometries, which is roughly proportional to the correlation length of the fuel fragmentation.
Tracking data may be sparse and not particularly accurate, the objects' complicate shape and unknown attitude evolution may render difficult the aerodynamic computations and, last but not the least, the models used to predict the air density at the altitudes of interest, as a function of solar and geomagnetic activity, are affected by significant uncertainties.
We first define a continuous latent variable Ii, that denotes an individual's entrepreneurial interest as a function of conceptually relevant characteristics: {mathrm{I}}_{mathrm{i}}{=uplambda}_1{mathrm{FC}}_{mathrm{i}}{+uplambda}_2{mathrm{YSC}}_{mathrm{i}}{+uplambda}_3{mathrm{YPTV}}_{mathrm{i}}{+uplambda}_4{mathrm{DEMO}}_{mathrm{i}}{+uplambda}_5{mathrm{UNIFIX}+mathrm{e}}_{mathrm{i}} (1).
Where up scaling of conventional volcanic ash dispersal modelling techniques would be computationally intensive and time consuming, ALPEs can be used to emulate generalised volcanic ash hazard (derived from dispersal models) for any given event(s) at any location(s), from any volcanic source of interest as a function of distance of the site from each source.
For each predicted stem MSARI considers all 7 nt blocks which are aligned to each other (to produce potential common stem loops); each such alignment is considered to be of interest as a function of its composition, especially the number of covarying mutations it involves.
Many analyses involved plotting a parameter of interest as a function of cortical depth, providing a laminar profile of that parameter.
We then traced the maximal apical/minimum basal radial position, t, of the cell layer of interest as a function of azimuth, and defined the index of interdigitation, I, as the standard deviation of t over each θ±Δθ segment.
If all other chromophores are assumed constant for the period of time required to collect a measurement, then the change in absorption coefficient in a tissue of interest as a function of time T is related to the tissue dye concentration, C, by Δ μ a (T ) = C (T ) ⋅ ε ⋅ ln (10 ), (4 where ε is the wavelength-dependent extinction coefficient of the dye.
Similarly, functional imaging often leads to multidimensional data sets containing partial or full information on properties of interest, acquired as a function of multiple parameters (time, temperature, or other external stimuli).
