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This is an interesting point: We have previously noted that even in patient derived HGPS cells, the migration pattern of progerin can differ between different studies and possibly different cell types (Zhang et al., Cell Stem Cell 2011, Figure 3; Liu et al., Nature 2011, Figure 3J; McClintock et al., PLoS One 2007, Figure 3C).
Furthermore, comparisons between different studies and their grouping are hampered not only by the differences in study populations but also by differences in diagnostic methods and criteria used to differentiate between various types of uterine anomalies [59].
This makes comparison between different studies and different probes rather difficult, since no % ID/g value is possible to be obtained in this manner.
SUV is intended to reduce the effect of patient size and body composition relative to the injected dose of radiotracer and making it possible to compare between different studies and patients [4],[4]].
As research on pedagogical agents is highly complex, we propose a multi-level framework to enable systematic comparisons between different studies and the identification of gaps in the literature.
In this paper, we first review past approaches to classifying drought tolerance and drought sensitivity of Northeastern U.S. species, with an eye towards understanding their ability to capture consistent patterns as reflected in agreement (or inconsistency) between different studies, and between predictions and observations.
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This makes comparison between different studies difficult and a consensus approach to reporting clinical outcomes should be considered.
This could partially explain the divergences found between different studies describing diagnostic and prognostic signatures.
Nevertheless, it is still feasible for scientists in these regions to adopt a structured reporting mechanism for AMR studies so that the data collected can be used to make meaningful comparisons between different studies, geographic locations and points in time.
The SES is a standardized measure of the change that allows comparison between groups, between measures in the same study and between different studies [ 49].
The percentage varies hugely between different studies (from say 4percentto62percentcent), and it really depends on how you define someone's lead cause of bankruptcy.
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between different academic and
between different education and
between different countries and
between different ranks and
between different regions and
between different roastings and
between different timepoints and
between reported studies and
between different pollinators and
between different religions and
between different links and
between different generations and
between different centres and
between different races and
between different societies and
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