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A computer simulation model is developed for visualising the effect of particles on the evolution of dendrite morphology.
This is a more appealing way of visualising the effect of a sharp crack at the root of a blunt flaw.
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Furthermore, this approach is most suitable for visualising the effects of mammographic screening on breast cancer incidence for other factors influencing breast cancer incidence, for example, risk factors, do not depend on the same age and cohort combination as mammographic screening.
More generally, this type of plot is suitable to visualise the effect of any intervention where multiple baseline and post-treatment observations are recorded.
Replication tract abnormalities were detected by the previously described DNA fibre technique to visualise the effect of JQ1 on DNA replication.
This is intended to help the patients visualise the effect of controlling risk factors and was designed to encourage adherence to medication and a change in behaviour of modifiable risk factors, such as smoking.
To visualise the effect of K201 on individual diastolic Ca2+ release events at an enhanced spatiotemporal resolution, a set of experiments was performed using confocal imaging of rat cardiomyocytes perfused with the same [Ca2+]o and additions as in Fig. 1 (Fig. 4a).
This study employed a solution space to visualise the effects of various factors on forest profitability, measured through SEV.
We therefore performed fluorescence recovery after photobleach (FRAP) experiments using SEP GluR2 [18] to visualise the effects of corticosterone on surface motility in spines.
In order to visualise the effects of appraisals on sick leave days, the sample was divided into four groups based on median-splits in the two variables, appraisal of accident severity and appraisal of coping abilities (figure 1).
We used forest plots to visualise the effects of NCC on systolic blood pressure (SBP), low-density lipoprotein (LDL) cholesterol and smoking cessation compared with usual care, stratified for treatment intensity (high, intermediate, low, unknown).
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