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One is that high-impact publications tend to require more data for acceptance, which would in turn increase the amount of funds devoted to that study.
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Moreover, we did not select such data for analyzing gap acceptance behavior.
We applied the same limits for data acceptance of birth weight and birth length as in the National Perinatal Quality Registry in Sweden: that is, records with birth weight <200 or >9998 g or birth length <15 or >65 cm, were excluded.
In the current study, we used the same limits for data acceptance as in the Swedish Perinatal Quality Registry, i.e., infants with a BW <200 or >9,998 g and a BL <15 or >65 cm.
* 'Out of AC' stands for data outside the acceptance criteria for DNA quality from inhibition runs For % GM DNA quantification, statistical results were generated from the analyses described above by either including or not including the data not complying with the DNA quality criteria recommended by the EURL-GMFF.
All data are given a 'reasonable' range for acceptance and will generate a prompt if data are above or below the range.
It is important to note that we were not able to secure evolution acceptance data for many countries in Africa, Asia, and South America; however, our conclusions are based on the best available data.
Thus, the lack of consensus on the use of data standards may reflect a lack of focus and understanding of an important and potentially rate-limiting step for acceptance of TGx data.
The criteria for acceptance of glycomics data for inclusion into a database are likely to be somewhat different than those for acceptance in a scientific journal.
Peer-review requirements for scientific journals and data acceptance requirements for regulatory programs both acknowledge that a rigorous evaluation of data quality is essential, yet the practices and procedures for addressing it differ across the spectrum of bodies that deal with scientific data.
For the experiment, these data for the samples met the acceptance criteria at all concentration tested.
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