The phrase "approaches in phase" is correct and usable in written English.
It can be used in contexts related to physics, engineering, or any discussion involving synchronization or alignment of waves or signals.
Example: "When two sound waves approaches in phase, they amplify each other, resulting in a louder sound."
Alternatives: "synchronized" or "aligned in phase".
The directions of the arrows in the plots indicate a slow change of phase in the co-variability of dengue and rainfall in the 2-year band, approaching in-phase behavior in late 2009, and we observed synchronized co-variability for the 1-year band in 2009 and at the start of 2010.
We describe our experience in implementing this approach in Phase I/II clinical trials of the Pd-bacteriophephorbide photosensitizer TOOKAD (WST09 -mediated PDT of recurrent prostate cancer folloWST09 -mediatedfailure.
Therefore, the purpose of this research was (1) to assess effect of MTX and TMX in marine organism using the EMEA guideline, (2) to develop an ERA methodology for marine environment, and (3) to evaluate the suitability of including a biomarker approach in Phase III.
Uptake from those approached in Phase One was high.
Participants were approached in phase 1 via e-mail to complete the (anonymous) questionnaires by following a secured web link.
A mixed methods design enabled us to use a qualitative approach in phase one to identify issues from the perspective of midwives and CFH nurses.
The underpinning PDSA approach in phase two helped to focus participants on making improvements, generating iterative cycles of collective action and reflexive monitoring.
These issues were subsequently able to be confirmed and explored by a larger number of midwives and CFH nurses, using a quantitative approach in phase two.
One suggested experimental medicine approach in Phase II would be to define the target study population based on the predicted mechanism of action.
We have shown that the current practice of omitting unresolved genotypes (i.e., those that cannot be resolved with high confidence using computational approaches implemented in PHASE) introduces systematic bias into estimates of important population genetic parameters.
