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The more accessible chromatographic method was successfully applied to the evaluation of workplace contamination generated by the handling of antineoplastic drugs in oncology health-care settings with limited resources (data not shown).
Just under a third (n = 51, 31.5%) of midwives reported they could access hard copy resources to give to pregnant women on alcohol consumption during pregnancy and FASD, and few (n = 12, 7.4%) listed internet resources (data not shown).
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After exclusion of traditional health professionals (i.e. physicians, nurses, pharmacists, allied health) in the health professionals and other category, pharmaceutical industry representatives received rankings for second or third for frequency of use, usefulness, accessibility, credibility, and current/timeliness, based on means and number of respondents using this resource (data not shown).
In support of this, the proportion of the SM population inhabiting the biofilm as cheats compared to asocial broth dwelling (i.e., biofilm SM density/total SM density) increased linearly with resource supply (data not shown; founding genotype, F3,15 = 0.17, P = 0.9; log2(resource supply), F1,15 = 11.64, P = 0.004).
Resource use data not available in the OPCRD [ 7] (respiratory specialist visits, and spirometry) were taken from the literature [ 11].
However, we did not find any relevant associations between the expression of these genes and MM clinical attributes when querying the public resource cBioPortal (data not reported).
A questionnaire was administered to participants at 6 weeks and 6 months after randomisation to obtain resource use data not available elsewhere.
Given the substantial uniformity of the NOTCH1 and JAG2 expression patterns in the tested PGLs, no correlations emerged between the immunostaining for these proteins and the other variables (Supplementary Table 3, Online Resource 1 and data not shown).
However, natural resource data are not available to elucidate the threat.
Unfortunately, comparable regional resource data are not available.
Our aspiration is to create a useful chemogenomics resource reflecting industry-scale data not only for building predictive models of in silico polypharmacology and off-target effects but also for the validation of cheminformatics approaches in general.
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