Plant species were characterised according to their conservation value, life form and affinity to soil nutrient conditions.
The bloom is characterised, according to a statement on the botanic gardens' website, by a "giant yellow phallic spike (spadix), burgundy upturned skirt (spathe) and that nauseating smell".
Most isolates belonged to Phomopsis, and five species were identified and characterised according to morphology of the cultures and fructification structures.
The produced composite blocks were characterised according to the ruling standard for compression of cellular materials in order to ensure full comparability.
All species were characterised according to their growth form (Gf: : low shrub (<1 m), mid shrub (≥1 m but <2 m), tall shrub (≥2 m), graminoid, herb (excludes annuals), geophyte (apparent throughout the year)), regeneration mode (Reg: non-sprouter, sprouter) and dispersal distance (short distance (passive and ant), long distance (wind and bird)).
The glucose tolerance status of these participants were characterised according to WHO criteria [1]; normal glucose tolerance (n = 4,568), impaired fasting glycaemia (n = 508), impaired glucose tolerance (n = 707), or screen-detected T2D (n = 256); 125 had known treated type 2 diabetes and were excluded from the quantitative trait analyses.
The steel tie and carbon fabrics were characterised according by respectively NFA 35016 and NFT 51-034.
We classified patients as admitted during weekday office hours, weekday out of hours, weekend daytime hours, and weekend night-time hours, and characterised them according to patient characteristics.
We demonstrated that ΔΔCT=555 was the ALK mRNA cutoff level capable of distinguishing with extremely high accuracy PAX3/7-FOXO1-positive RMS from fusion gene-negative tumours, whereas ΔΔCT=200 was the discriminating value that best characterised patients according to risk of relapse.
It can be argued that it is always meaningful to characterise SD according to RECIST as non-responders because SD may represent lesions decreasing up to 30% [1].
We sought to characterise practices according to the proportion of total hospital admissions that were emergency admissions, and identify predictors of this proportion.
