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As a low-rank raw coal, air-drying water-based (Mt) value of BRYM was much higher (26.13 wt%).
Note that this mass change is much smaller than the 1200 MT value quoted in Allis et al. (2001) for the Geysers geothermal reservoir in several years leading to several hundreds of μGal gravity changes.
Higher doses of copper nanoparticles (10, 20 and 40 μg/ml) have membrane damaging effect on the intestinal epithelial cells, whereas MDA contents and MT value were significantly increased, and SOD activity was decreased with the increase in concentration of nanoparticles.
An Mt value was first calculated for each month and these monthly values were subsequently summated to give seasonal risk values (summer and winter).
When the monthly Mt value reaches 100 it can be assumed that the moisture levels, regardless of previous state, have become sufficiently wet to permit parasite development [23].
The majority of studies report that the collagen component is the most important contributor to the MT effect, 18– 21, 45 but Gray et al 45 also have reported that MT value changes may be a result of physiological or pathophysiological changes in GAG concentration and tissue structure.
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Consequently, monthly Mt values are capped at 100.
For the risk maps, the seasonally summated summer and winter Mt values were grouped into four risk categories following Ollerenshaw & Rowlands [23]: Mt <300, little or no disease; 300< Mt = 400, occasional losses; 400< Mt = 474, disease prevalent; and Mt >474, serious epidemic.
In a further validation of the model, using the 1961 1990 test dataset (n = 1054), the Mt values were first calculated using the original Ollerenshaw index, and then calculated using the modified Ollerenshaw index, with the GAM providing a surrogate value for rain days.
Tooth loss as a result of caries was observed 3.5 times more frequently in children with a migration background compared to children without migration background as shown by the reflecting MT values of 0.07 and 0.02, respectively (p = 0.010).
For each motif m and species t, we computed the fraction of instances in NFR regions across all of t's genes, f mt. We converted the f mt values to z-scores using the mean and standard deviation of all f mt estimated for t.
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