To evaluate whether amplitude and phase changed over time, we used linear regression models.
However, the composition of infiltrating T cells found in the developing versus resolving lesion phase changed over time, containing increased numbers of Treg in the phase of clinical remission.
However, the composition of infiltrating T cells found in the developing versus resolving lesion phase changed over time, containing increased numbers of regulatory T cells (FoxP3) only in the phase of clinical remission.
We found that 97% (S1) and 88% (S4) cones underwent significant phase changes over time.
In order to assess phase changes over time, we developed methods to overcome temporal phase wrap as well (see appendix §A.5 for details).
Second, when examining phase changes over time, if two consecutive measurements contain a large jump in phase (close to 2 π rad), it is impossible to determine, in the absence of interpretative assumptions, whether the jump represents a large change in the true phase or a small change in the true phase, with the opposite sign.
The threshold can be adjusted to reflect the goals of registration: if minimizing missing data and maximizing image quality is the goal, a small threshold (e.g. < 0.1) can be used; if registration correctness is the goal (as in the case of quantifying phase changes over time), a larger threshold (e.g. > 0.2) can be used.
Temperature uniformity is wholly attainable with applied heat fluxes, while laminates provide improved heat transfer rates with applied temperature sources (e.g. phase change materials) over conventional, homogeneous, encapsulation materials.
In practice, the degree of bending of a specific DNA target caused by a particular TFO was evaluated by measuring the ratio of acoustic energy change over phase change observed during the binding of pre-formed triplex DNA molecules to the device surface.
