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  • 1
    Publication Date: 2019-07-13
    Description: This article provides supplemental information for a Letter reporting the rate of (BBH) coalescences inferred from 16 days of coincident Advanced LIGO observations surrounding the transient (GW) signal GW150914. In that work wereported various rate estimates whose 90% confidence intervals fell in the range 2600 Gpc(exp -3) yr(exp -1). Here we givedetails on our method and computations, including information about our search pipelines, a derivation of ourlikelihood function for the analysis, a description of the astrophysical search trigger distribution expected frommerging BBHs, details on our computational methods, a description of the effects and our model for calibrationuncertainty, and an analytic method for estimating our detector sensitivity, which is calibrated to our measurements.
    Keywords: Astrophysics
    Type: GSFC-E-DAA-TN44086 , The Astrophysical Journal: Supplement Series (ISSN 0067-0049) (e-ISSN 1538-4365); 227; 2; 14
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  • 2
    Publication Date: 2019-07-13
    Description: The Large Observatory For x-ray Timing (LOFT) is a mission concept which was proposed to ESA as M3 and M4 candidate in the framework of the Cosmic Vision 2015-2025 program. Thanks to the unprecedented combination of effective area and spectral resolution of its main instrument and the uniquely large field of view of its wide field monitor, LOFT will be able to study the behaviour of matter in extreme conditions such as the strong gravitational field in the innermost regions close to black holes and neutron stars and the supra-nuclear densities in the interiors of neutron stars. The science payload is based on a Large Area Detector (LAD, is greater than 8m2 effective area, 2-30 keV, 240 eV spectral resolution, 1 degree collimated field of view) and a Wide Field Monitor (WFM, 2-50 keV, 4 steradian field of view, 1 arcmin source location accuracy, 300 eV spectral resolution). The WFM is equipped with an on-board system for bright events (e.g., GRB) localization. The trigger time and position of these events are broadcast to the ground within 30 s from discovery. In this paper we present the current technical and programmatic status of the mission.
    Keywords: Astrophysics
    Type: GSFC-E-DAA-TN44111 , SPIE Astronomical Telescopes + Instrumentation; Jun 26, 2016 - Jul 01, 2016; Edinburgh, Scotland; United Kingdom|Space Telescopes and Instrumentation 2016: Ultraviolet to Gamma Ray; 9905; 99051R
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  • 3
    Publication Date: 2019-07-13
    Description: The very high energy (VHE; E great than 100 GeV) blazar Markarian 501 was observed between April 17 and May 5 (MJD 5493854956), 2009, as part of an extensive multi-wavelength campaign from radio to VHE. Strong VHE -ray activity was detected on May 1st with Whipple and VERITAS, when the flux (E greater than 400 GeV) increased to 10 times the pre-flare baseline flux (3.9 x 10(exp -11 ph cm(exp -2 S(exp -1), reaching five times the flux of the Crab Nebula. This coincided with a decrease in the optical polarization and a rotation of the polarization angle by 15deg. This VHE flare showed a fast flux variation with an increase of a factor approximately 4 in 25 min, and a falling time of approximately 50 min. We present the observations of the quiescent state previous to the flare and of the high state after the flare, focusing on the flux and spectral variability from Whipple, VERITAS, Fermi-LAT, RXTE, and Swift combined with optical and radio data.
    Keywords: Astrophysics
    Type: GSFC-E-DAA-TN44061 , Astronomy & Astrophysics (ISSN 0004-6361) (e-ISSN 1432-0746); 594; A76
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  • 4
    Publication Date: 2019-07-13
    Description: eXTP is a science mission designed to study the state of matter under extreme conditions of density, gravity and magnetism. Primary goals are the determination of the equation of state of matter at supra-nuclear density, the measurement of QED effects in highly magnetized star, and the study of accretion in the strong-field regime of gravity. Primary targets include isolated and binary neutron stars, strong magnetic field systems like magnetars, and stellar-mass and supermassive black holes. The mission carries a unique and unprecedented suite of state-of-the-art scientific instruments enabling for the first time ever the simultaneous spectral-timing-polarimetry studies of cosmic sources in the energy range from 0.5-30 keV (and beyond). Key elements of the payload are: the Spectroscopic Focusing Array (SFA) - a set of 11 X-ray optics for a total effective area of approx. 0.9 m(exp. 2) and 0.6 m(exp. 2) at 2 keV and 6 keV respectively, equipped with Silicon Drift Detectors offering less than 180 eV spectral resolution; the Large Area Detector (LAD) - a deployable set of 640 Silicon Drift Detectors, for a total effective area of approx. 3.4 m(exp. 2), between 6 and 10 keV, and spectral resolution better than 250 eV; the Polarimetry Focusing Array (PFA) - a set of 2 X-ray telescope, for a total effective area of 250 cm(exp. 2) at 2 keV, equipped with imaging gas pixel photoelectric polarimeters; the Wide Field Monitor (WFM) - a set of 3 coded mask wide field units, equipped with position-sensitive Silicon Drift Detectors, each covering a 90 degrees x 90 degrees field of view. The eXTP international consortium includes major institutions of the Chinese Academy of Sciences and Universities in China, as well as major institutions in several European countries and the United States. The predecessor of eXTP, the XTP mission concept, has been selected and funded as one of the so-called background missions in the Strategic Priority Space Science Program of the Chinese Academy of Sciences since 2011. The strong European participation has significantly enhanced the scientific capabilities of eXTP. The planned launch date of the mission is earlier than 2025.
    Keywords: Astrophysics
    Type: GSFC-E-DAA-TN43898 , SPIE Space Telescopes and Instrumentation 2016: Ultraviolet to Gamma Ray Conference 2016; Jun 26, 2016; Edinburgh; United Kingdom|Proceedings of SPIE (ISSN 0277-786X) (e-ISSN 1996-756X); 9905; 99051Q
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  • 5
    Publication Date: 2016-02-26
    Description: Integrated genomic analysis of 456 pancreatic ductal adenocarcinomas identified 32 recurrently mutated genes that aggregate into 10 pathways: KRAS, TGF-beta, WNT, NOTCH, ROBO/SLIT signalling, G1/S transition, SWI-SNF, chromatin modification, DNA repair and RNA processing. Expression analysis defined 4 subtypes: (1) squamous; (2) pancreatic progenitor; (3) immunogenic; and (4) aberrantly differentiated endocrine exocrine (ADEX) that correlate with histopathological characteristics. Squamous tumours are enriched for TP53 and KDM6A mutations, upregulation of the TP63N transcriptional network, hypermethylation of pancreatic endodermal cell-fate determining genes and have a poor prognosis. Pancreatic progenitor tumours preferentially express genes involved in early pancreatic development (FOXA2/3, PDX1 and MNX1). ADEX tumours displayed upregulation of genes that regulate networks involved in KRAS activation, exocrine (NR5A2 and RBPJL), and endocrine differentiation (NEUROD1 and NKX2-2). Immunogenic tumours contained upregulated immune networks including pathways involved in acquired immune suppression. These data infer differences in the molecular evolution of pancreatic cancer subtypes and identify opportunities for therapeutic development.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bailey, Peter -- Chang, David K -- Nones, Katia -- Johns, Amber L -- Patch, Ann-Marie -- Gingras, Marie-Claude -- Miller, David K -- Christ, Angelika N -- Bruxner, Tim J C -- Quinn, Michael C -- Nourse, Craig -- Murtaugh, L Charles -- Harliwong, Ivon -- Idrisoglu, Senel -- Manning, Suzanne -- Nourbakhsh, Ehsan -- Wani, Shivangi -- Fink, Lynn -- Holmes, Oliver -- Chin, Venessa -- Anderson, Matthew J -- Kazakoff, Stephen -- Leonard, Conrad -- Newell, Felicity -- Waddell, Nick -- Wood, Scott -- Xu, Qinying -- Wilson, Peter J -- Cloonan, Nicole -- Kassahn, Karin S -- Taylor, Darrin -- Quek, Kelly -- Robertson, Alan -- Pantano, Lorena -- Mincarelli, Laura -- Sanchez, Luis N -- Evers, Lisa -- Wu, Jianmin -- Pinese, Mark -- Cowley, Mark J -- Jones, Marc D -- Colvin, Emily K -- Nagrial, Adnan M -- Humphrey, Emily S -- Chantrill, Lorraine A -- Mawson, Amanda -- Humphris, Jeremy -- Chou, Angela -- Pajic, Marina -- Scarlett, Christopher J -- Pinho, Andreia V -- Giry-Laterriere, Marc -- Rooman, Ilse -- Samra, Jaswinder S -- Kench, James G -- Lovell, Jessica A -- Merrett, Neil D -- Toon, Christopher W -- Epari, Krishna -- Nguyen, Nam Q -- Barbour, Andrew -- Zeps, Nikolajs -- Moran-Jones, Kim -- Jamieson, Nigel B -- Graham, Janet S -- Duthie, Fraser -- Oien, Karin -- Hair, Jane -- Grutzmann, Robert -- Maitra, Anirban -- Iacobuzio-Donahue, Christine A -- Wolfgang, Christopher L -- Morgan, Richard A -- Lawlor, Rita T -- Corbo, Vincenzo -- Bassi, Claudio -- Rusev, Borislav -- Capelli, Paola -- Salvia, Roberto -- Tortora, Giampaolo -- Mukhopadhyay, Debabrata -- Petersen, Gloria M -- Australian Pancreatic Cancer Genome Initiative -- Munzy, Donna M -- Fisher, William E -- Karim, Saadia A -- Eshleman, James R -- Hruban, Ralph H -- Pilarsky, Christian -- Morton, Jennifer P -- Sansom, Owen J -- Scarpa, Aldo -- Musgrove, Elizabeth A -- Bailey, Ulla-Maja Hagbo -- Hofmann, Oliver -- Sutherland, Robert L -- Wheeler, David A -- Gill, Anthony J -- Gibbs, Richard A -- Pearson, John V -- Waddell, Nicola -- Biankin, Andrew V -- Grimmond, Sean M -- 103721/Z/14/Z/Wellcome Trust/United Kingdom -- A12481/Cancer Research UK/United Kingdom -- A18076/Cancer Research UK/United Kingdom -- C29717/A17263/Cancer Research UK/United Kingdom -- England -- Nature. 2016 Mar 3;531(7592):47-52. doi: 10.1038/nature16965. Epub 2016 Feb 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia. ; Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow G61 1BD, UK. ; The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst, and the Cancer Research Program, Garvan Institute of Medical Research, 384 Victoria St, Darlinghurst, Sydney, New South Wales 2010, Australia. ; Department of Surgery, Bankstown Hospital, Eldridge Road, Bankstown, Sydney, New South Wales 2200, Australia. ; South Western Sydney Clinical School, Faculty of Medicine, University of New South Wales, Liverpool, New South Wales 2170, Australia. ; QIMR Berghofer Medical Research Institute, Herston, Queensland 4006, Australia. ; Department of Molecular and Human Genetics, Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA. ; Michael DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas 77030, USA. ; Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas 77030, USA. ; Department of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA. ; Genetic and Molecular Pathology, SA Pathology, Adelaide, South Australia 5000, Australia. ; School of Biological Sciences, The University of Adelaide, Adelaide, South Australia 5000, Australia. ; Harvard Chan Bioinformatics Core, Harvard T. H. Chan School of Public Health, Boston, Massachusetts 02115, USA. ; Macarthur Cancer Therapy Centre, Campbelltown Hospital, New South Wales 2560, Australia. ; Department of Pathology. SydPath, St Vincent's Hospital, Sydney, NSW 2010, Australia. ; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, New South Wales 2052, Australia. ; School of Environmental &Life Sciences, University of Newcastle, Ourimbah, New South Wales 2258, Australia. ; Department of Surgery, Royal North Shore Hospital, St Leonards, Sydney, New South Wales 2065, Australia. ; University of Sydney, Sydney, New South Wales 2006, Australia. ; Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Camperdown New South Wales 2050, Australia. ; School of Medicine, University of Western Sydney, Penrith, New South Wales 2175, Australia. ; Fiona Stanley Hospital, Robin Warren Drive, Murdoch, Western Australia 6150, Australia. ; Department of Gastroenterology, Royal Adelaide Hospital, North Terrace, Adelaide, South Australia 5000, Australia. ; Department of Surgery, Princess Alexandra Hospital, Ipswich Rd, Woollongabba, Queensland 4102, Australia. ; School of Surgery M507, University of Western Australia, 35 Stirling Hwy, Nedlands 6009, Australia and St John of God Pathology, 12 Salvado Rd, Subiaco, Western Australia 6008, Australia. ; Academic Unit of Surgery, School of Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow Royal Infirmary, Glasgow G4 OSF, UK. ; West of Scotland Pancreatic Unit, Glasgow Royal Infirmary, Glasgow G31 2ER, UK. ; Department of Medical Oncology, Beatson West of Scotland Cancer Centre, 1053 Great Western Road, Glasgow G12 0YN, UK. ; Department of Pathology, Southern General Hospital, Greater Glasgow &Clyde NHS, Glasgow G51 4TF, UK. ; GGC Bio-repository, Pathology Department, Southern General Hospital, 1345 Govan Road, Glasgow G51 4TY, UK. ; Department of Surgery, TU Dresden, Fetscherstr. 74, 01307 Dresden, Germany. ; Departments of Pathology and Translational Molecular Pathology, UT MD Anderson Cancer Center, Houston Texas 77030, USA. ; The David M. Rubenstein Pancreatic Cancer Research Center and Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA. ; Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA. ; Department of Surgery, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA. ; ARC-Net Applied Research on Cancer Centre, University and Hospital Trust of Verona, Verona 37134, Italy. ; Department of Pathology and Diagnostics, University of Verona, Verona 37134, Italy. ; Department of Surgery, Pancreas Institute, University and Hospital Trust of Verona, Verona 37134, Italy. ; Department of Medical Oncology, Comprehensive Cancer Centre, University and Hospital Trust of Verona, Verona 37134, Italy. ; Mayo Clinic, Rochester, Minnesota 55905, USA. ; Elkins Pancreas Center, Baylor College of Medicine, One Baylor Plaza, MS226, Houston, Texas 77030-3411, USA. ; Cancer Research UK Beatson Institute, Glasgow G61 1BD, UK. ; Institute for Cancer Science, University of Glasgow, Glasgow G12 8QQ, UK. ; University of Melbourne, Parkville, Victoria 3010, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26909576" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Basic Helix-Loop-Helix Transcription Factors/genetics ; Carcinoma, Pancreatic ; Ductal/classification/genetics/immunology/metabolism/pathology ; Cell Line, Tumor ; DNA Methylation ; DNA-Binding Proteins/genetics ; Gene Expression Regulation, Neoplastic ; Gene Regulatory Networks ; Genes, Neoplasm/*genetics ; Genome, Human/*genetics ; *Genomics ; Hepatocyte Nuclear Factor 3-beta/genetics ; Hepatocyte Nuclear Factor 3-gamma/genetics ; Histone Demethylases/genetics ; Homeodomain Proteins/genetics ; Humans ; Mice ; Mutation/*genetics ; Nuclear Proteins/genetics ; Pancreatic Neoplasms/*classification/*genetics/immunology/metabolism/pathology ; Prognosis ; Receptors, Cytoplasmic and Nuclear/genetics ; Survival Analysis ; Trans-Activators/genetics ; Transcription Factors/genetics ; Transcription, Genetic ; Transcriptome ; Tumor Suppressor Protein p53/genetics ; Tumor Suppressor Proteins/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2016-03-12
    Description: Scavenger receptor BI (SR-BI) is the major receptor for high-density lipoprotein (HDL) cholesterol (HDL-C). In humans, high amounts of HDL-C in plasma are associated with a lower risk of coronary heart disease (CHD). Mice that have depleted Scarb1 (SR-BI knockout mice) have markedly elevated HDL-C levels but, paradoxically, increased atherosclerosis. The impact of SR-BI on HDL metabolism and CHD risk in humans remains unclear. Through targeted sequencing of coding regions of lipid-modifying genes in 328 individuals with extremely high plasma HDL-C levels, we identified a homozygote for a loss-of-function variant, in which leucine replaces proline 376 (P376L), in SCARB1, the gene encoding SR-BI. The P376L variant impairs posttranslational processing of SR-BI and abrogates selective HDL cholesterol uptake in transfected cells, in hepatocyte-like cells derived from induced pluripotent stem cells from the homozygous subject, and in mice. Large population-based studies revealed that subjects who are heterozygous carriers of the P376L variant have significantly increased levels of plasma HDL-C. P376L carriers have a profound HDL-related phenotype and an increased risk of CHD (odds ratio = 1.79, which is statistically significant).〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zanoni, Paolo -- Khetarpal, Sumeet A -- Larach, Daniel B -- Hancock-Cerutti, William F -- Millar, John S -- Cuchel, Marina -- DerOhannessian, Stephanie -- Kontush, Anatol -- Surendran, Praveen -- Saleheen, Danish -- Trompet, Stella -- Jukema, J Wouter -- De Craen, Anton -- Deloukas, Panos -- Sattar, Naveed -- Ford, Ian -- Packard, Chris -- Majumder, Abdullah al Shafi -- Alam, Dewan S -- Di Angelantonio, Emanuele -- Abecasis, Goncalo -- Chowdhury, Rajiv -- Erdmann, Jeanette -- Nordestgaard, Borge G -- Nielsen, Sune F -- Tybjaerg-Hansen, Anne -- Schmidt, Ruth Frikke -- Kuulasmaa, Kari -- Liu, Dajiang J -- Perola, Markus -- Blankenberg, Stefan -- Salomaa, Veikko -- Mannisto, Satu -- Amouyel, Philippe -- Arveiler, Dominique -- Ferrieres, Jean -- Muller-Nurasyid, Martina -- Ferrario, Marco -- Kee, Frank -- Willer, Cristen J -- Samani, Nilesh -- Schunkert, Heribert -- Butterworth, Adam S -- Howson, Joanna M M -- Peloso, Gina M -- Stitziel, Nathan O -- Danesh, John -- Kathiresan, Sekar -- Rader, Daniel J -- CHD Exome+ Consortium -- CARDIoGRAM Exome Consortium -- Global Lipids Genetics Consortium -- R01 DK089256/DK/NIDDK NIH HHS/ -- R01 HL117078/HL/NHLBI NIH HHS/ -- TL1 RR024133/RR/NCRR NIH HHS/ -- TL1R000138/PHS HHS/ -- TL1RR024133/RR/NCRR NIH HHS/ -- New York, N.Y. -- Science. 2016 Mar 11;351(6278):1166-71. doi: 10.1126/science.aad3517.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Departments of Genetics and Medicine, Division of Translational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. ; Departments of Genetics and Medicine, Division of Translational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. INSERM UMR 1166 ICAN, Universite Pierre et Marie Curie Paris 6, Hopital de la Pitie, Paris, France. ; INSERM UMR 1166 ICAN, Universite Pierre et Marie Curie Paris 6, Hopital de la Pitie, Paris, France. ; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. ; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Centre for Non-Communicable Diseases, Karachi, Pakistan. ; Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, Netherlands. Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands. ; Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands. The Interuniversity Cardiology Institute of the Netherlands, Utrecht, Netherlands. ; Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, Netherlands. ; Wellcome Trust Sanger Institute, Genome Campus, Hinxton, UK. ; Institute of Cardiovascular and Medical Sciences, British Heart Foundation, Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK. ; Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK. ; Glasgow Clinical Research Facility, Western Infirmary, Glasgow, UK. ; National Institute of Cardiovascular Diseases, Sher-e-Bangla Nagar, Dhaka, Bangladesh. ; International Centre for Diarrhoeal Disease Research, Mohakhali, Dhaka, Bangladesh. ; Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA. ; Institute for Integrative and Experimental Genomics, University of Lubeck, Lubeck 23562, Germany. ; Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Herlev, Denmark. ; Copenhagen University Hospital, University of Copenhagen, Copenhagen, Denmark. ; Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospitals, Copenhagen, Denmark. ; Department of Health, National Institute for Health and Welfare, Helsinki, Finland. ; Department of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, PA 17033, USA. ; Department of Health, National Institute for Health and Welfare, Helsinki, Finland. Institute of Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland. ; Department of General and Interventional Cardiology, University Heart Center Hamburg, Hamburg, Germany. University Medical Center Hamburg-Eppendorf, Hamburg, Germany. ; Department of Epidemiology and Public Health, Institut Pasteur de Lille, Lille, France. ; Department of Epidemiology and Public Health, University of Strasbourg, Strasbourg, France. ; Department of Epidemiology, Toulouse University-CHU Toulouse, Toulouse, France. ; Institute of Genetic Epidemiology, Helmholtz Zentrum Munchen-German Research Center for Environmental Health, Neuherberg, Germany. Department of Medicine I, Ludwig-Maximilians-University Munich, Munich, Germany. ; Research Centre in Epidemiology and Preventive Medicine, Department of Clinical and Experimental Medicine, University of Insubria, Varese, Italy. ; UKCRC Centre of Excellence for Public Health, Queens University, Belfast, Northern Ireland. ; Department of Computational Medicine and Bioinformatics, Department of Human Genetics, and Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA. ; Department of Cardiovascular Sciences, University of Leicester, Leicester, UK. National Institute for Health Research (NIHR) Leicester Cardiovascular Biomedical Research Unit, Glenfield Hotel, Leicester, UK. ; Deutsches Herzzentrum Munchen, Technische Universitat Munchen, Munich, Germany. ; Broad Institute and Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA 02114, USA. ; Department of Medicine, Division of Cardiology, Department of Genetics, and the McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63110, USA. ; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. Wellcome Trust Sanger Institute, Genome Campus, Hinxton, UK. ; Departments of Genetics and Medicine, Division of Translational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. rader@mail.med.upenn.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26965621" target="_blank"〉PubMed〈/a〉
    Keywords: Aged ; Amino Acid Substitution ; Animals ; Cholesterol, HDL/*blood ; Coronary Disease/*blood/*genetics ; DNA Mutational Analysis ; Female ; Genetic Variation ; Heterozygote ; Homozygote ; Humans ; Leucine/genetics ; Male ; Mice ; Middle Aged ; Proline/genetics ; Protein Processing, Post-Translational ; Risk ; Scavenger Receptors, Class B/*genetics/metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2019-06-20
    Description: We report the discovery of a planet OGLE-2014-BLG-0676Lb via gravitational microlensing. Observations for the lensing event were made by the following groups: Microlensing Observations in Astrophysics; Optical Gravitational Lensing Experiment; Wise Observatory; RoboNETLas Cumbres Observatory Global Telescope; Microlensing Network for the Detection of Small Terrestrial Exoplanets; and -FUN. All analyses of the light-curve data favoura lens system comprising a planetary mass orbiting a host star. The most-favoured binary lens model has a mass ratio between the two lens masses of (4.78 +/- 0.13) 10(exp -3). Subject to some important assumptions, a Bayesian probability density analysis suggests the lens system comprises a 3.09(+1.02/-1.12) MJ planet orbiting a 0.62(+0.20/-0.22) solar mass host star at a deprojected orbital separation of 4.40(+2.16/-1.46) au. The distance to the lens system is 2.22(+0.96/-0.83) kpc. Planet OGLE-2014-BLG-0676Lb provides additional data to the growing number of cool planets discover redusing gravitational microlensing against which planetary formation theories may be tested. Most of the light in the baseline of this event is expected to come from the lens and thus high-resolution imaging observations could confirm our planetary model interpretation.
    Keywords: Astrophysics
    Type: GSFC-E-DAA-TN64724 , GSFC-E-DAA-TN42195 , Monthly Notices of the Royal Astronomical Society (ISSN 0035-8711 ) (e-ISSN 1365-2966); 466; 3; 2710-2717
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  • 8
    Publication Date: 2019-07-13
    Description: We present the 3-8 kiloelectronvolts and 8-24 kiloelectronvolts number counts of active galactic nuclei (AGNs) identified in the Nuclear Spectroscopic Telescope Array (NuSTAR) extragalactic surveys. NuSTAR has now resolved 33 percent -39 percent of the X-ray background in the 8-24 kiloelectronvolts band, directly identifying AGNs with obscuring columns up to approximately 10 (exp 25) per square centimeter. In the softer 3-8 kiloelectronvolts band the number counts are in general agreement with those measured by XMM-Newton and Chandra over the flux range 5 times 10 (exp -15) less than or approximately equal to S (3-8 kiloelectronvolts) divided by ergs per second per square centimeter less than or approximately equal to 10 (exp -12) probed by NuSTAR. In the hard 8-24 kiloelectronvolts band NuSTAR probes fluxes over the range 2 times 10 (exp -14) less than or approximately equal to S (8-24 kiloelectronvolts) divided by ergs per second per square centimeter less than or approximately equal to 10 (exp -12), a factor approximately 100 times fainter than previous measurements. The 8-24 kiloelectronvolts number counts match predictions from AGN population synthesis models, directly confirming the existence of a population of obscured and/or hard X-ray sources inferred from the shape of the integrated cosmic X-ray background. The measured NuSTAR counts lie significantly above simple extrapolation with a Euclidian slope to low flux of the Swift/BAT15-55 kiloelectronvolts number counts measured at higher fluxes (S (15-55 kiloelectronvolts) less than or approximately equal to 10 (exp -11) ergs per second per square centimeter), reflecting the evolution of the AGN population between the Swift/BAT local (redshift is less than 0.1) sample and NuSTAR's redshift approximately equal to 1 sample. CXB (Cosmic X-ray Background) synthesis models, which account for AGN evolution, lie above the Swift/BAT measurements, suggesting that they do not fully capture the evolution of obscured AGNs at low redshifts
    Keywords: Astrophysics
    Type: GSFC-E-DAA-TN47067 , The Astrophysical Journal (ISSN 2041-8205) (e-ISSN 2041-8213); 831; 2; 185
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  • 9
    Publication Date: 2019-07-13
    Description: We report the first hard X-ray observations with NuSTAR of the BL Lac-type blazar PKS2155-304, augmented with soft X-ray data from XMM-Newton and gamma-ray data from the Fermi Large Area Telescope, obtained in 2013April when the source was in a very low flux state. A joint NuSTAR and XMM spectrum, covering the energy range 0.5-60 keV, is best described by a model consisting of a log-parabola component with curvature Beta = -0.3(+0.2 -0.1) and a (local) photon index 3.04 +/- 0.15 at photon energy of 2 keV, and a hard power-law tail with photon index 2.2 +/- 0.4. The hard X-ray tail can be smoothly joined to the quasi-simultaneous gamma-ray spectrum by a synchrotron self-Compton component produced by an electron distribution with index p 2.2. Assuming that the power-law electron distribution extends down to gamma (sub min) = 1 and that there is one proton per electron, an unrealistically high total jet power of Lp approximately 10 (exp 47) erg s(sub -1) is inferred. This can be reduced by two orders of magnitude either by considering a significant presence of electron-positron pairs with lepton-to-proton ratio n(sub e+e-/n(sub p) approx. 30, or by introducing an additional, low-energy break in the electron energy distribution at the electron Lorentz factor gamma br1 approx. 100. In either case, the jet composition is expected to be strongly matter-dominated
    Keywords: Astrophysics
    Type: GSFC-E-DAA-TN47029 , The Astrophysical Journal (ISSN 0004-637X) (e-ISSN 1538-4357); 831; 2; 142
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  • 10
    Publication Date: 2019-07-13
    Description: We present multi-wavelength detections of nine candidate gravitationally-lensed dusty starforming galaxies (DSFGs) selected at 218 GHz (1.4 mm) from the ACT equatorial survey. Among the brightest ACT sources, these represent the subset of the total ACT sample lying in Herschel SPIRE fields, and all nine of the 218 GHz detections were found to have bright Herschel counterparts. By fitting their spectral energy distributions (SEDs) with a modified blackbody model with power-law temperature distribution, we find the sample has a median redshift of 4.1 (+ 1.1, -10) (68 percent confidence interval), as expected for 218 GHz selection and an apparent total infrared luminosity of log 10(uL(sub IR)/solar luminosity) = 13.86(+0.33, -0.30), which suggests that they are either strongly lensed sources or unresolved collections of unlensed DSFGs. The effective apparent diameter of the sample is square root of mu d = 4.2 (+ 1.7, -1.0) kpc, further evidence of strong lensing of multiplicity, since the typical diameter of dusty star-forming galaxies is 1.0-2.5 kpc. We emphasize that the effective apparent diameter derives from SED modeling without the assumption of opticaly thin dust (as opposed to image morphology). We find that the sources have substantial optical depth (tau = (4.2+, -1.9) of dust around the peak in the modified blackbody spectrum (lambda obs is less than 500 micrometers), a result that is robust to model choice.
    Keywords: Astrophysics
    Type: GSFC-E-DAA-TN36237 , Monthly Notices of the Royal Astronomical Society (ISSN 0035-8711) (e-ISSN 1365-2966); ujme 464; 1; 968-984
    Format: application/pdf
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