In preparation of the paper, there were several errors in the figure labeling, which were regretfully missed in the preparation and proofreading of the manuscript and which the authors would like to correct. None of these changes affects the data or the conclusions of the paper.(1) The heading of Figure 2H should read ''Glucose Infusion Rate,'' not ''Insulin Infusion Rate.'' (2) In the corresponding text on page 431 (right column, paragraph 2, line 13), the units for glucose infusion rate should be ''mg/kg/min,'' not ''mg/dl.'' (3) Likewise, on the y axis in Figure 2I, the units for glucose should read ''mg/kg/min'' rather than ''mg/dl.'' (4) On the y axis in Figures 3C, 4F, 4G, 4H, and 5D, the parenthetical reference to ''ARNT/Actin'' carried over from previous figures should simply be deleted. The correct specific genes or proteins measured in each panel are already indicated. (5) In Figure 5A, the correct units are ''mM,'' not ''mM/l.

Understanding subsurface denitrification potential will give greater insights into landscape nitrate (

Experiments were carried out to establish whether nitrous oxide (N2O) could be used as a non-invasive early warning indicator for nitrification failure. Eight experiments were undertaken; duplicate shocks DO depletion, influent ammonia increases, allylthiourea (ATU) shocks and sodium azide (NaN3) shocks were conducted on a pilot-scale activated sludge plant which consisted of a 315 L completely mixed aeration tank and 100 L clarifier. The process performed well during pre-shock stable operation; ammonia removals were up to 97.8% and N2O emissions were of low variability (<0.5 ppm). However, toxic shock loads produced an N2O response of a rise in off-gas concentrations ranging from 16.5 to 186.3 ppm, followed by a lag-time ranging from 3 to 5 h ((0.43-0.71) x HRT) of increased NH3-N and/or NO2(-) in the effluent ranging from 3.4 to 41.2 mg L(-1). It is this lag-time that provides the early warning for process failure, thus mitigating action can be taken to avoid nitrogen contamination of receiving waters.

No abstract

The indigenous population of the United Arab Emirates (UAE) has a unique demographic and cultural history. Its tradition of endogamy and consanguinity is expected to produce genetic homogeneity and partitioning of gene pools while population movements and intercontinental trade are likely to have contributed to genetic diversity. Emiratis and neighboring populations of the Middle East have been underrepresented in the population genetics literature with few studies covering the broader genetic history of the Arabian Peninsula. Here, we genotyped 1,198 individuals from the seven Emirates using 1.7 million markers and by employing haplotype-based algorithms and admixture analyses, we reveal the fine-scale genetic structure of the Emirati population. Shared ancestry and gene flow with neighboring populations display their unique geographic position while increased intra- versus inter-Emirati kinship and sharing of uniparental haplogroups, reflect the endogamous and consanguineous cultural traditions of the Emirates and their tribes.