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We would like to thank Victoria Kirchhoff, Adriana Banozic and Ellen Uslar for their assistance in running this study in Essen, and Johana Zach for her help in the biochemical analyses in Munich.
We sought to overcome some of the drawbacks of previous studies noted by other authors by running this study in a setting other than that of clinical efficacy trials [ 55, 56].
The mechanics of running this study and some early summary data about the cohort will be presented and will be of interest to researchers already involved in the study or who may be considering starting a similar study or with a specific interest in collaborative studies around young-onset breast cancer.
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"The reason we ran this study was that we were anticipating this fight-or-flight response.
Finally, we plan to run this study for at least 4 years.
Originally, we planned to run this study with practice nurses working in different rheumatology departments.
Given our study aims and the resources available to us, we opted to run this study as a single-arm intervention to inform the interpretation of existing randomized controlled trials and the design of future trials.
In theory, a better design could be to run a cluster-randomized clinical trial, randomizing departments and clinics to program participation or not, but at the time when it was decided to run this study the SfW program was already established in many settings in Scandinavia.
It was initially planned to run this study in lectures in April (as reported here), May and September of 2006, to involve 6 different lecturers from a range of disciplines, and to reverse the student allocations between EVS and traditional lectures in April and May and re-randomise in September.
> -wrap-foot> and and +1 indicate low and high value for the respective factors b[ measured response value − predicted response value)/predicted response value] × 100 Considering that a satisfactory peak separation was achieved with a limited number of HPLC runs, this study confirms the suitability of the ANN-GA model in method optimization for rpHPLC.
Using a newly developed reverse-transcriptase (RT), primers and PCR running conditions, this study established a protocol to amplify the entire genome of the influenza A virus.
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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