7). Results: SEE (1756 +/- 393 kcal/d) was 7.6% higher than REE (1632 +/- 346 kcal/d) (P < .001). This difference (123 +/- 214 kcal/d) was smaller than that using the predictive equation for REE by Harris and Benedict (207 +/- 217 kcal/d) and the BMI group-specific equations according to Muller et al (209 +/- 190 kcal/d). Linear regression analysis was significant (r(2) = 0.705; P < .001). SEE showed similar 95% confidence intervals compared with both of the predictive equations. Conclusions: The described standardized

assessment of SEE by a PA device appears to be a promising approach to estimate REE in an ambulatory NCT-501 mw setting. SEE reflects REE at least as precisely as the predictive equations. (Nutr Clin Pract. 2012;27:825-831)”
“In this paper we have coupled the CMAQ and ADMS air quality models to predict hourly concentrations

of NOx, NO2 and O-3 for London at a spatial scale of 20 m x 20 m. Model evaluation has demonstrated reasonable agreement with measurements from 80 monitoring sites in London. For NO2 the model evaluation statistics gave 73% of the hourly concentrations within a factor of two of observations, a mean bias of -4.7 ppb and normalised mean bias of -0.17, a RMSE value of 17.7 and an r value of 0.58. The equivalent results for O-3 were 61% (FAC2), 2.8 ppb (MB), 0.15 (NMB), 12.1 (RMSE) and 0.64 (r). Analysis of the errors in the model predictions by hour of the week showed the need for improvements in predicting the magnitude BI 6727 cost of road transport related NOX emissions as well as the hourly emissions scaling in the model. These findings are consistent with recent evidence of UK road transport NOX emissions, reported elsewhere. The predictions of wind speed using the WRF model also influenced the model results and contributed to the daytime over prediction of NOX concentrations at the central London background site at Kensington and Chelsea. An investigation of the use of a simple NO-NO2-O-3 chemistry scheme showed good performance close to road sources, and AG-881 mouse this is also consistent with previous studies. The coupling of the two models raises an issue of emissions double counting. Here, we have put forward

a pragmatic solution to this problem with the result that a median double counting error of 0.42% exists across 39 roadside sites in London. Finally, whilst the model can be improved, the current results show promise and demonstrate that the use of a combination of regional scale and local scale models can provide a practical modelling tool for policy development at intergovernmental, national and local authority level, as well as for use in epidemiological studies. (C) 2012 Elsevier Ltd. All rights reserved.”
“The first in this series of articles explored issues faced when treating a medical colleague looked at the barriers to doctors receiving the best possible medical care. These barriers were discussed from the point of view of both the treating doctor and the patient doctor.