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Träfflista för sökning "WFRF:(Montgomery K) "

Search: WFRF:(Montgomery K)

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4.
  • Aaltonen, T., et al. (author)
  • Combination of CDF and D0 W-Boson mass measurements
  • 2013
  • In: Physical Review D. - 1550-7998 .- 1550-2368. ; 88:5, s. 052018-
  • Journal article (peer-reviewed)abstract
    • We summarize and combine direct measurements of the mass of the W boson in root s = 1.96 TeV proton-antiproton collision data collected by CDF and D0 experiments at the Fermilab Tevatron Collider. Earlier measurements from CDF and D0 are combined with the two latest, more precise measurements: a CDF measurement in the electron and muon channels using data corresponding to 2.2 fb(-1) of integrated luminosity, and a D0 measurement in the electron channel using data corresponding to 4.3 fb(-1) of integrated luminosity. The resulting Tevatron average for the mass of the W boson is M-W = 80387 +/- 16 MeV. Including measurements obtained in electron-positron collisions at LEP yields the most precise value of M-W = 80385 +/- 15 MeV.
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5.
  • Abazov, V. M., et al. (author)
  • The upgraded DO detector
  • 2006
  • In: Nuclear Instruments and Methods in Physics Research Section A. - : Elsevier BV. - 0168-9002 .- 1872-9576. ; 565:2, s. 463-537
  • Journal article (peer-reviewed)abstract
    • The DO experiment enjoyed a very successful data-collection run at the Fermilab Tevatron collider between 1992 and 1996. Since then, the detector has been upgraded to take advantage of improvements to the Tevatron and to enhance its physics capabilities. We describe the new elements of the detector, including the silicon microstrip tracker, central fiber tracker, solenoidal magnet, preshower detectors, forward muon detector, and forward proton detector. The uranium/liquid -argon calorimeters and central muon detector, remaining from Run 1, are discussed briefly. We also present the associated electronics, triggering, and data acquisition systems, along with the design and implementation of software specific to DO.
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  • Blokland, G. A. M., et al. (author)
  • Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders
  • 2022
  • In: Biological Psychiatry. - : Elsevier BV. - 0006-3223 .- 1873-2402. ; 91:1, s. 102-117
  • Journal article (peer-reviewed)abstract
    • Background: Sex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk. Methods: We conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH. Results: Across disorders, genome-wide significant single nucleotide polymorphism–by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10−8), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10−6) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10−7; rs73033497, p = 8.8 × 10−7; rs7914279, p = 6.4 × 10−7), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10−7) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10−7), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10−7) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05). Conclusions: In the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels. © 2021 Society of Biological Psychiatry
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8.
  • Munn-Chernoff, M. A., et al. (author)
  • Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies
  • 2021
  • In: Addiction Biology. - : Wiley. - 1355-6215 .- 1369-1600. ; 26:1
  • Journal article (peer-reviewed)abstract
    • Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [r(g)], twin-based = 0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from similar to 2400 to similar to 537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder- and substance-use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (r(g) = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN (r(g) = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating (r(g) = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating (r(gs) = -0.19 to -0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co-varying for major depressive disorder loci. The patterns of association between eating disorder- and substance-use-related phenotypes highlights the potentially complex and substance-specific relationships among these behaviors.
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9.
  • Abazov, V. M., et al. (author)
  • Measurement of the W Boson Mass with the D0 Detector
  • 2012
  • In: Physical Review Letters. - 0031-9007 .- 1079-7114. ; 108:15, s. 151804-
  • Journal article (peer-reviewed)abstract
    • We present a measurement of the W boson mass using data corresponding to 4: 3 fb(-1) of integrated luminosity collected with the D0 detector during Run II at the Fermilab Tevatron p (p) over tilde collider. With a sample of 1 677 394 W -> e nu candidate events, we measure M-W = 80.367 +/- 0.026 GeV. This result is combined with an earlier D0 result determined using an independent Run II data sample, corresponding to 1 fb(-1) of integrated luminosity, to yield MW 80.375 +/- 0.023 GeV.
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  • Erni, W., et al. (author)
  • Technical design report for the PANDA (AntiProton Annihilations at Darmstadt) Straw Tube Tracker
  • 2013
  • In: European Physical Journal A. Hadrons and Nuclei. - : Springer Science and Business Media LLC. - 1434-6001 .- 1434-601X. ; 49:2
  • Journal article (peer-reviewed)abstract
    • This document describes the technical layout and the expected performance of the Straw Tube Tracker (STT), the main tracking detector of the PANDA target spectrometer. The STT encloses a Micro-Vertex-Detector (MVD) for the inner tracking and is followed in beam direction by a set of GEM stations. The tasks of the STT are the measurement of the particle momentum from the reconstructed trajectory and the measurement of the specific energy loss for a particle identification. Dedicated simulations with full analysis studies of certain proton-antiproton reactions, identified as being benchmark tests for the whole PANDA scientific program, have been performed to test the STT layout and performance. The results are presented, and the time lines to construct the STT are described.
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  • Result 1-10 of 258
Type of publication
journal article (229)
conference paper (20)
research review (6)
other publication (2)
doctoral thesis (1)
Type of content
peer-reviewed (227)
other academic/artistic (31)
Author/Editor
Montgomery, GW (83)
Martin, NG (78)
Esko, T (52)
Hottenga, JJ (51)
Metspalu, A (51)
Willemsen, G (50)
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Boomsma, DI (49)
Stefansson, K (47)
Hayward, C. (47)
Montgomery, Grant W. (45)
Teumer, A (44)
Medland, SE (44)
Martin, Nicholas G. (40)
Uitterlinden, AG (37)
Pedersen, NL (36)
Cichon, S (35)
Ripke, S (35)
Kaprio, J (34)
Kutalik, Z. (34)
Palotie, A (33)
Milani, L (33)
Breen, G (32)
Muller-Myhsok, B (32)
Nauck, M (32)
Rietschel, M (32)
Davies, G (31)
Penninx, BWJH (31)
Milaneschi, Y (31)
Gordon, SD (31)
Mihailov, E (31)
Nothen, MM (30)
Yang, J. (29)
Mattheisen, M (29)
Lucae, S (29)
Herms, S. (29)
Magnusson, PKE (28)
Volzke, H (28)
van Duijn, CM (27)
McGuffin, P (27)
Deary, IJ (26)
Craddock, N (25)
Grabe, HJ (25)
Gudnason, V (25)
Homuth, G (25)
Smoller, JW (25)
Degenhardt, F (25)
Gieger, C (25)
Frank, J (25)
Stefansson, H. (25)
Gill, M. (25)
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Karolinska Institutet (195)
Uppsala University (68)
Lund University (59)
University of Gothenburg (45)
Umeå University (29)
Örebro University (26)
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Stockholm University (16)
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Stockholm School of Economics (9)
Royal Institute of Technology (6)
Högskolan Dalarna (6)
Linköping University (3)
Chalmers University of Technology (3)
University of Borås (2)
Karlstad University (2)
Luleå University of Technology (1)
Mid Sweden University (1)
Swedish University of Agricultural Sciences (1)
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Language
English (258)
Research subject (UKÄ/SCB)
Medical and Health Sciences (133)
Natural sciences (42)
Social Sciences (8)
Engineering and Technology (4)

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