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Project Viva is a prospective study with repeated outcome measurements, which allowed us to establish temporal order between exposure and outcomes as well as examine change over time in outcomes.
For the analyses, we used nonparametric multivariate analysis of variance (MANOVA) for repeated measurements, which allowed all 4 treatment time points and all 3 baseline measurements to be analyzed simultaneously with respect to time course [16].
In this study, we developed a simple method to decouple the processes of internalization and phagosomal maturation via three separate measurements, which allowed for a distinction between the time-courses for internalization and acidification, and significantly, provided distinct measurements and thereby comparison of the rates of phagosome acidification and phagosomal-endosomal/lysosomal fusion.
Although a reduced number of animals were included in this farm, there are more metabolic/endocrine time measurements which allowed a better metabolic description of the NEB.
Here, we combined an efficient method for protein extraction from tissue samples with lysine-acetylated peptide immunoprecipitation and high-accuracy tandem mass spectrometric (MS/MS) measurements, which allowed us to generate an atlas of lysine acetylation sites in 16 different rat tissues.
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Over the past decade such measurements, which allow for the monitoring of entire ice sheets all at one time, have transformed efforts to understand how ice sheets change with the seasons.
Their self-assembling capacity was evaluated using pyrene fluorescence measurements which allow to determine their critical aggregation concentration (CAC).
Sufficient conditions on static measurements which allow for the unique identification of the crack are presented and discussed.
For this purpose we use runoff and also soil moisture measurements, which allow a truly independent validation, from several sites across Switzerland.
The retrieval scheme takes advantage of the large coverage of spectral measurements which allows an optimal selection of the spectral feature for retrieval.
It should be noted that the integrated peak intensity plot shown in Figure 5b includes error bars based on standard deviation measurements, which allow us to estimate the maximum error to be ±1 atom within a 90% confidence level.
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