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The number of products labelled as sensitizing is presumably underestimated in the product sample here (Figure 1 and Table 2), because quantitative information about the content of specific sensitizing fragrances were not available and did therefore not influence the classification of the product.
It is perhaps not surprising that this discrepancy exists, since many factors influence the classification of genes as being responsive to low temperature [ 44].
In contrast to the findings of Rispens et al. [ 12], λwolf did not influence the classification of fallers and nonfallers in the present study.
We believe that future assessment of evidence should consider this dimension and develop a systematic consensus approach to how biological plausibility should influence the classification of evidence.
The QFT-TB results were not available for the clinicians and did not influence the classification of patients or decisions concerning treatment.
However, in the 7th AJCC edition, a CC is classified as pT4a when it infiltrates the serosa and as pT4b when it infiltrates adjacent organs: this may influence the classification of pT4a and T4b CCSS.
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These general notions of innovation have influenced the classification of financial innovation as most researchers (Llewellyn, 1992; Sibler 1975; White, 1997; Tufano, 2003; Mishra, 2008; Gubler, 2011; Lerner and Tufano, 2011) accept the definition of financial innovation as the creation and the popularization of new financial products, processes, markets, and institutions.
There is thus a possibility that similarity outside the catalytic domain influences the classification of full length protein close to agc_other subfamily rather than agc1, which is assigned when one considers only the catalytic region.
Tables 4 and 5 illustrate how CTCS influences the classification of patients in probability categories.
Combining the two parameters is better than using either one alone, but having separate limits on each variable still causes a problem with the definition because a treatment change easily influences the classification of a patient.
To assess to what extent factors extraneous to the characteristics of the symptoms influenced the classification of symptoms as TS or NTS, a logistic regression model was constructed, including the impact of symptoms as evaluated by the GIS, age, sex, body mass index (BMI), alcohol consumption and smoking, as well as the presence of comorbidities.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com