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Specifically, we divided all genes with at least one SNP typed in the HGDP-CEPH panel in 24 intervals based on the number of typed SNPs; 10,000 re-samplings were then performed by selecting for each ImmPort gene, a randomly selected gene with a similar number of SNPs (i.e. a gene located in the same interval) (see methods).
Sampling tubes were then deployed in situ into field and laboratory settings as experimental traps for infective juveniles.
Sampling times were then extracted from the aligned growth curve.
Since berries in a bunch do not develop uniformly, berries were harvested from different bunches in the same plant on each sampling day and were then sorted according to their developmental stage, considered to be a sample.
The sampling point positions were then calculated in the geocentric system of the coordinate.
These artificially generated reduced sampling schedules (total 31/patient) were then implemented in the PBPK model, and the model parameters were fitted again to these data (using either standard or iterative Bayes parameter values as a priori knowledge, Table 1).
Data of each sampling day and gill were then tested against each other.
Sampling frequencies for each gene were then modeled as a function of estimated phosphate concentration using the glm function in R [48].
Households were then systematically sampled using a random starting point and sampling interval of n = 3.
The list of the CC clinic attendees were then used as sampling frames to select participants who fulfilled the eligibility criteria.
Participants were then shown the actiwatch and experience-sampling forms, and practised responding to a hypothetical alarm.
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