We present new measurements of the energy spectra of cosmic-ray (CR) nuclei from the second flight of the balloon-borne experiment Cosmic-Ray Energetics And Mass (CREAM). The instrument included ...different particle detectors to provide redundant charge identification and measure the energy of CRs up to several hundred TeV. The measured individual energy spectra of C, O, Ne, Mg, Si, and Fe are presented up to ~1014 eV. The spectral shape looks nearly the same for these primary elements and it can be fitted to an E -2.66 +/- 0.04 power law in energy. Moreover, a new measurement of the absolute intensity of nitrogen in the 100-800 GeV/n energy range with smaller errors than previous observations, clearly indicates a hardening of the spectrum at high energy. The relative abundance of N/O at the top of the atmosphere is measured to be 0.080 +/- 0.025 (stat.)+/-0.025 (sys.) at ~800 GeV/n, in good agreement with a recent result from the first CREAM flight.
Cosmic-ray proton and helium spectra have been measured with the balloon-borne Cosmic Ray Energetics And Mass experiment flown for 42 days in Antarctica in the 2004-2005 austral summer season. ...High-energy cosmic-ray data were collected at an average altitude of ~38.5 km with an average atmospheric overburden of ~3.9 g cm--2. Individual elements are clearly separated with a charge resolution of ~0.15 e (in charge units) and ~0.2 e for protons and helium nuclei, respectively. The measured spectra at the top of the atmosphere are represented by power laws with a spectral index of --2.66 ? 0.02 for protons from 2.5 TeV to 250 TeV and --2.58 ? 0.02 for helium nuclei from 630 GeV nucleon--1 to 63 TeV nucleon--1. They are harder than previous measurements at a few tens of GeV nucleon--1. The helium flux is higher than that expected from the extrapolation of the power law fitted to the lower-energy data. The relative abundance of protons to helium nuclei is 9.1 ? 0.5 for the range from 2.5 TeV nucleon--1 to 63 TeV nucleon--1. This ratio is considerably smaller than the previous measurements at a few tens of GeV nucleon--1.
The Hymenoptera Genome Database (HGD) is a comprehensive model organism database that caters to the needs of scientists working on insect species of the order Hymenoptera. This system implements ...open-source software and relational databases providing access to curated data contributed by an extensive, active research community. HGD contains data from 9 different species across ~200 million years in the phylogeny of Hymenoptera, allowing researchers to leverage genetic, genome sequence and gene expression data, as well as the biological knowledge of related model organisms. The availability of resources across an order greatly facilitates comparative genomics and enhances our understanding of the biology of agriculturally important Hymenoptera species through genomics. Curated data at HGD includes predicted and annotated gene sets supported with evidence tracks such as ESTs/cDNAs, small RNA sequences and GC composition domains. Data at HGD can be queried using genome browsers and/or BLAST/PSI-BLAST servers, and it may also be downloaded to perform local searches. We encourage the public to access and contribute data to HGD at: http://HymenopteraGenome.org.
Nearshore estuarine and marine ecosystems-e.g., seagrass meadows, marshes, and mangrove forests-serve many important functions in coastal waters. A better understanding of these habitats, that serve ...as nurseries for marine species, and the factors that create site-specific variability in nursery quality will improve conservation and management of these areas.
Highlights • Opioid stimulation of 35 SGTPγS binding was validated in prairie vole brain. • Mu and kappa opioid stimulation was consistent with reported receptor localization. • Females displayed ...higher mu-stimulated 35 SGTPγS binding than males in 3 regions. • No gender differences were found for kappa-stimulated 35 SGTPγS binding.
•Knockdown of Drd2 in rat VTA increases cocaine self-administration at both low and high doses.•Knockdown of Drd2 in rat NAc increases self-administration of low doses of cocaine only.•Drd2 in the ...VTA, not the NAc, is involved in mechanisms limiting high doses of cocaine intake in rats.
Dopamine D2 receptors (D2Rs) in the ventral tegmental area (VTA) and the nucleus accumbens (NAc) are associated with vulnerability to addiction; however, whether D2Rs in these two brain regions play differential roles in regulation of drug intake is unknown. Here, we compared the effect of decreased mRNA level of Drd2 in each region on cocaine self-administration in a dose-response function. Drd2 mRNA levels in rat VTA or NAc were knocked down by bilateral microinjection of lentivirus coding shRNAs against rat Drd2 or scrambled shRNA. Drd2 knockdown was persistent and stable between 20 and 90 days after lentiviral infection. Animals were trained to self-administer cocaine 20 days after Drd2 shRNA treatment. Compared to scrambled shRNA treated rats, Drd2 knockdown in the VTA increased cocaine self-administration at all tested doses (0.02–0.56 mg/kg/infusion) producing an upward shift (both the ascending and descending limb) in the dose-response curve of cocaine self-administration. In contrast, intra-NAc knockdown increased cocaine self-administration only on the ascending limb of the dose-response curve (0.02–0.07 mg/kg/infusion). These data suggest that D2Rs in the VTA, not in the NAc, regulate high-dose cocaine intake. The present study not only demonstrates that low levels of D2Rs in either region increase low doses of cocaine intake, but also reveals for the first time their dissociable roles in limiting high doses of cocaine self-administration.
As the LHC moves to higher energies and luminosity, the demand for computing resources increases accordingly and will soon outpace the growth of the Worldwide LHC Computing Grid. To meet this greater ...demand, event generation Monte Carlo was targeted for adaptation to run on Mira, the supercomputer at the Argonne Leadership Computing Facility. Alpgen is a Monte Carlo event generation application that is used by LHC experiments in the simulation of collisions that take place in the Large Hadron Collider. This paper details the process by which Alpgen was adapted from a single-processor serial-application to a large-scale parallel-application and the performance that was achieved.
Exascale computing resources are roughly a decade away and will be capable of 100 times more computing than current supercomputers. In the last year, Energy Frontier experiments crossed a milestone ...of 100 million core-hours used at the Argonne Leadership Computing Facility, Oak Ridge Leadership Computing Facility, and NERSC. The Fortran-based leading-order parton generator called Alpgen was successfully scaled to millions of threads to achieve this level of usage on Mira. Sherpa and MadGraph are next-to-leading order generators used heavily by LHC experiments for simulation. Integration times for high-multiplicity or rare processes can take a week or more on standard Grid machines, even using all 16-cores. We will describe our ongoing work to scale the Sherpa generator to thousands of threads on leadership-class machines and reduce run-times to less than a day. This work allows the experiments to leverage large-scale parallel supercomputers for event generation today, freeing tens of millions of grid hours for other work, and paving the way for future applications (simulation, reconstruction) on these and future supercomputers.
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