United States Department of Energy

About: United States Department of Energy is a government organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Catalysis & Coal. The organization has 13656 authors who have published 14177 publications receiving 556962 citations. The organization is also known as: DOE & Department of Energy.

Search for squarks and gluinos with the ATLAS detector in final states with jets and missing transverse momentum using 4.7 fb − 1 of s = 7 TeV proton-proton collision data

Abstract: A search for squarks and gluinos in final states containing jets, missing transverse momentum and no high-p(T) electrons or muons is presented. The data represent the complete sample recorded in 2011 by the ATLAS experiment in 7 TeV proton-proton collisions at the Large Hadron Collider, with a total integrated luminosity of 4.7 fb(-1). No excess above the Standard Model background expectation is observed. Gluino masses below 860 GeV and squark masses below 1320 GeV are excluded at the 95% confidence level in simplified models containing only squarks of the first two generations, a gluino octet and a massless neutralino, for squark or gluino masses below 2 TeV, respectively. Squarks and gluinos with equal masses below 1410 GeV are excluded. In minimal supergravity/constrained minimal supersymmetric Standard Model models with tan beta = 10, A(0) = 0 and mu > 0, squarks and gluinos of equal mass are excluded for masses below 1360 GeV. Constraints are also placed on the parameter space of supersymmetric models with compressed spectra. These limits considerably extend the region of supersymmetric parameter space excluded by previous measurements with the ATLAS detector.

Social contact networks for the spread of pandemic influenza in children and teenagers.

Abstract: Influenza is a viral infection that primarily spreads via fluid droplets from an infected person's coughs and sneezes to others nearby. Social contact networks and the way people interact within them are thus important to its spread. We developed a method to characterize the social contact network for the potential transmission of influenza and then applied the method to school aged children and teenagers. Surveys were administered to students in an elementary, middle and high-school in the United States. The social contact network of a person was conceptualized as a set of groups to which they belong (e.g., households, classes, clubs) each composed of a sub-network of primary links representing the individuals within each group that they contact. The size of the group, number of primary links, time spent in the group, and level of contact along each primary link (near, talking, touching, or kissing) were characterized. Public activities done by groups venturing into the community where random contacts occur (e.g., friends viewing a movie) also were characterized. Students, groups and public activities were highly heterogeneous. Groups with high potential for the transmission of influenza were households, school classes, friends, and sports; households decreased and friends and sports increased in importance with grade level. Individual public activity events (such as dances) were also important but lost their importance when averaged over time. Random contacts, primarily in school passing periods, were numerous but had much lower transmission potential compared to those with primary links within groups. Students are highly assortative, interacting mainly within age class. A small number of individual students are identified as likely "super-spreaders". High-school students may form the local transmission backbone of the next pandemic. Closing schools and keeping students at home during a pandemic would remove the transmission potential within these ages and could be effective at thwarting its spread within a community. Social contact networks characterized as groups and public activities with the time, level of contact and primary links within each, yields a comprehensive view, which if extended to all ages, would allow design of effective community containment for pandemic influenza.

Assembly of viral metagenomes from yellowstone hot springs.

Abstract: Thermophilic viruses were reported decades ago; however, knowledge of their diversity, biology, and ecological impact is limited. Previous research on thermophilic viruses focused on cultivated strains. This study examined metagenomic profiles of viruses directly isolated from two mildly alkaline hot springs, Bear Paw (74°C) and Octopus (93°C). Using a new method for constructing libraries from picograms of DNA, nearly 30 Mb of viral DNA sequence was determined. In contrast to previous studies, sequences were assembled at 50% and 95% identity, creating composite contigs up to 35 kb and facilitating analysis of the inherent heterogeneity in the populations. Lowering the assembly identity reduced the estimated number of viral types from 1,440 and 1,310 to 548 and 283, respectively. Surprisingly, the diversity of viral species in these springs approaches that in moderate-temperature environments. While most known thermophilic viruses have a chronic, nonlytic infection lifestyle, analysis of coding sequences suggests lytic viruses are more common in geothermal environments than previously thought. The 50% assembly included one contig with high similarity and perfect synteny to nine genes from Pyrobaculum spherical virus (PSV). In fact, nearly all the genes of the 28-kb genome of PSV have apparent homologs in the metagenomes. Similarities to thermoacidophilic viruses isolated on other continents were limited to specific open reading frames but were equally strong. Nearly 25% of the reads showed significant similarity between the hot springs, suggesting a common subterranean source. To our knowledge, this is the first application of metagenomics to viruses of geothermal origin.

The influence of the wind speed profile on wind turbine performance measurements

Abstract: To identify the influence of wind shear and turbulence on wind turbine performance, flat terrain wind profiles are analysed up to a height of 160 m. The profiles' shapes are found to extend from no shear to high wind shear, and on many occasions, local maxima within the profiles are also observed. Assuming a certain turbine hub height, the profiles with hub-height wind speeds between 6 m s−1 and 8 m s−1 are normalized at 7 m s−1 and grouped to a number of mean shear profiles. The energy in the profiles varies considerably for the same hub-height wind speed. These profiles are then used as input to a Blade Element Momentum model that simulates the Siemens 3.6 MW wind turbine. The analysis is carried out as time series simulations where the electrical power is the primary characterization parameter. The results of the simulations indicate that wind speed measurements at different heights over the swept rotor area would allow the determination of the electrical power as a function of an ‘equivalent wind speed’ where wind shear and turbulence intensity are taken into account. Electrical power is found to correlate significantly better to the equivalent wind speed than to the single point hub-height wind speed. Copyright © 2008 John Wiley & Sons, Ltd.