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Characterizing the patterns of genetic variation and differentiation associated with these processes is an important step in establishing conservation priorities.
Although (empirical) studies have commonly considered individual variation as a factor to account for the type I error in statistical hypothesis tests, characterizing the patterns of variation will likely to provide rich information to studying ecological dynamics.
Importantly, characterizing the patterns of atrophy associated with these mutations also provides important insight into the biology of the disease and helps to further define neuroanatomical correlations with clinical and pathological features in FTD.
This suggests that characterizing the patterns of practice adopted by individual practitioners might be a natural approach to assessment of expertise or quality of care, an approach that could more effectively capture the nuances germane to management of individual patients.
To address these issues, we performed a retrospective cohort study with the goals of: 1) characterizing the patterns of care for cancer patients treated empirically with fluconazole; 2) identifying the rate of treatment failure; 3) assessing the increase in resource utilization associated with treatment failure; and 4) defining the risk factors for treatment failure.
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Moore, C. A. et al. Characterizing the pattern of anomalies in congenital Zika syndrome for pediatric clinicians.
Putting aside the manifest difficulties involved in characterizing the pattern of holdings that would obtain in these subjunctive baselines, would the fact that redistribution has occurred relative to any of them be of any basic moral significance?
The results of the qualitative RT-PCR, though not quantitative, were useful for characterizing the pattern of tissue expression.
One useful terminology for characterizing the pattern of neuronal vulnerability for retrogenic process is the arboreal entropy.
We first addressed matrix degradation and started by characterizing the pattern of degradation in rheumatoid synovial fibroblasts.
Characterizing the pattern of evolution within transcription factor binding sites allows us to explore the nature of functional constraints on these sequences.
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