Orkney also had a low prevalence of IPNV in freshwater; however, because we obtained fewer data from Orkney, this finding was not significant.
We divided the sample into 3 age groups (0 – 65, 65 – 74, and ≥ 75), because we obtained EHA data by four age groups (i.e., 0 14, 15 – 65, 65 – 74, and ≥ 75) due to the reason of confidentiality, and combined the 0 – 14 and the 15 – 64 age groups as there were few records in the 0 14 age group.
We computed all composite and 13 of the 14 individual PQIs: PQI 9 (low birth weight rate) was excluded because we only obtained data of the admissions of people aged ≥18 years.
Because we obtained vertical movement data observed using GPS by GSI in addition to the records obtained with barometers, stress meters, water pressure meters, and seismometers, the relationship between the vertical movements and barometric pressure changes was studied.
In this aspect, our data would be valuable because we obtained the gene signature data using multiple specific cancer cell lines.
Using our GRO protocol in this work, we can further explore these behaviors because we obtain separate data for TR (the transcriptional response itself) and RA (the consequence of the transcriptional response modulated by changes in mRNA stability).
This is not due to the replacement of nef by gfp in pNL4-3/GFP, because we obtained similar results using pNL4-3 (data not shown).
Our study presented an original approach because we obtained a genome directly from metagenomic data, without pre-processing.
For the orientation, we have chosen inclinometer because the obtained data from this sensor are more informative and compass data are changing due to magnetic strength.
This discrepancy is thought to be because Fukuda obtained data from a hospital specializing in high risk pregnancy, which are not suitable for creating reference which IUGR of multiple birth is diagnosed.
