Sentence examples for change severity from inspiring English sources

We investigate hydro-climatic change severity and monitoring in 14 major hydrological basins across the pan-Arctic, in view of different possible strategies for their monitoring prioritization.

In experiments including active EAE and T cell culture, inhibition of IL-6 transsignalling mildly increased T cell proliferation, but did not change severity of active MBP-EAE or regulate Th1/Th17 responses.

Furthermore, present and projected future hot-spots of greatest hydro-climatic change differ spatially, so that major spatial shifts must occur in the future among the different Arctic basins in order for observations and climate model projections to converge with regard to hydro-climatic change severity.

Severity could not reliably be imputed as a covariate in this short duration, small sample study, although this would be highly desirable, because 42% of infants change severity levels on the gold standard scale under 2-years of age [ 30].

This allows sufficient time for the effects of climate change to be detectable, whilst minimising the overall timeframe to reduce uncertainties [ 55, 56] There are many different future climate scenarios based on different predictions of socio-economic factors, we have chosen the A2 scenario representing the mid-range of climate change severity [ 56].

The two most pronounced ultrastructural changes (severity grading scale from 0 3) seen were a loss of basal infoldings (mean difference in grade = 1.98; p<0.0001), and an increase in intracellular vacuoles (mean difference in grade = 1.7; p<0.0001.7

Invasive meningococcal disease (IMD) caused by an invasive strain of Neisseria meningitidis group C 2a P1,2,P1,5 and lately by an invasive strain group B 2a P1,2 as well appeared in the Czech republic in 1993 and completely changed severity of the disease.

However, investigating change in severity over time suggested that asthma severity might be more stable in men than in women.

Data are analysed in a multiple regression model with change in severity of IPV as the dependent variable and change in severity of ADHD symptoms as the primary predictor.

The primary outcome measure is the change in severity of IPV; the primary predictive variable is the change in severity of ADHD symptoms.

Rank-order analysis indicated that influence of oxygen saturation and potassium level on dialysis decision showed a significant change with severity of illness, but BUN level and creatinine elevation remained less influential, and did not change with severity.