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The data analysis showed that repetitive sequence targets are much more informative than the nonrepetitive ones.
The data analysis showed that the students have some preferences which help them with language learning.
The data analysis showed that this innovative system had positive effects on students' learning outcomes.
Results from the data analysis showed that there was a statistically significant difference in student academic performance.
The data analysis showed that reflection tools, to a large extend, assist learning objective design decisions in learning object development.
The data analysis showed that hazards with higher values of RPN with greater impact on the process are loss of dose and tracking; technical skills of operators and manual transcription of data were the most critical parameters.
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The data analysis shows that the students were in their "regime of competence" for grasping subtle nuances of the materials and for providing important hints for revising them.
The data analysis shows that bomb-pulse tritium and 36Cl measurements are correlated with discrete features such as horizontal fractures and areas where lateral flow may occur.
The data analysis shows that the negotiation processes around the concept of solubility consisted of diverse interpretations, varying from informal explanations to formal explanations, and from descriptive reasoning to causal reasoning.
The data analysis shows that further development of separating systems using the AIS method will allow us to create powerful and effective ion sources for deposition of metallic, metalloidic and diamond-like coatings.
The data analysis shows that the standard errors of the sample mean for the 3.0 and 5.5 vol.% ZnO nanofluids samples are ±1.24 and ±3.95%, respectively.
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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