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Further experiments are currently underway at the research center to explore this pattern and determine optimal distances between bomas.
In order to tentatively explore this pattern, we divided Pre-Task WL scores into three groups, taking as criteria the values of the mean (M = 80.3) and standard deviation (SD = 12.3).
To explore this pattern, we calculated Pearson's correlation coefficient between the total number of postivie/negative comments for two themes with each image's average importance, annoyance, confusion, and noticeability ratings.
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Third, because of small sample sizes for family-level comparisons, and given the current instability of lemur taxonomy [23], [50], [51], [52], more data are needed to confirm and explore this pattern.
It would be equally plausible to explore this pattern the other way around: That is, people who score high on "neuroticism" may tend to subjectively anticipate experiences as negative or potentially damaging [36], and could, therefore, be more likely to detect potentially unpleasant stimuli.
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To further explore this staining pattern, we immunoaffinity purified two of the proteins from Neospora lysates, and identified the proteins by mass spectrometry.
We therefore do not explore anymore this pattern and its offsprings.
We explore how this pattern is widespread among unrelated obligate mutualists in sap-feeding insects, and how this endosymbiosis differs from the mutualisms of Wolbachia in filarial nematodes and A. muciniphilia in the human colon.
All together, these results suggest that shape changes along the size axis can be only partially related to the aerodynamic demands of flight at different sizes and more comparative studies in other groups are needed to explore if this pattern is general.
To explore whether this pattern is a general feature of maternal microRNAs I defined "target avoidance" as the log2 ratio of the number of target sites with an allele frequency smaller than 0.1 (that is, the frequency of sites where >90% of alleles are the nontarget sequence) between maternal and zygotic transcripts.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com