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Search: WFRF:(Sutcliffe S)

  • Result 11-20 of 45
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12.
  • Gonzalez-Sevilla, S., et al. (author)
  • A double-sided silicon micro-strip Super-Module for the ATLAS Inner Detector upgrade in the High-Luminosity LHC
  • 2014
  • In: Journal of Instrumentation. - 1748-0221 .- 1748-0221. ; 9, s. P02003-
  • Journal article (peer-reviewed)abstract
    • The ATLAS experiment is a general purpose detector aiming to fully exploit the discovery potential of the Large Hadron Collider (LHC) at CERN. It is foreseen that after several years of successful data-taking, the LHC physics programme will be extended in the so-called High-Luminosity LHC, where the instantaneous luminosity will be increased up to 5 x 10(34) cm(-2) s(-1). For ATLAS, an upgrade scenario will imply the complete replacement of its internal tracker, as the existing detector will not provide the required performance due to the cumulated radiation damage and the increase in the detector occupancy. The current baseline layout for the new ATLAS tracker is an all-silicon-based detector, with pixel sensors in the inner layers and silicon micro-strip detectors at intermediate and outer radii. The super-module is an integration concept proposed for the strip region of the future ATLAS tracker, where double-sided stereo silicon micro-strip modules are assembled into a low-mass local support structure. An electrical super-module prototype for eight double-sided strip modules has been constructed. The aim is to exercise the multi-module readout chain and to investigate the noise performance of such a system. In this paper, the main components of the current super-module prototype are described and its electrical performance is presented in detail.
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13.
  • Diez, S., et al. (author)
  • A double-sided, shield-less stave prototype for the ATLAS Upgrade strip tracker for the High Luminosity LHC
  • 2014
  • In: Journal of Instrumentation. - 1748-0221 .- 1748-0221. ; 9, s. P03012-
  • Journal article (peer-reviewed)abstract
    • A detailed description of the integration structures for the barrel region of the silicon strips tracker of the ATLAS Phase-II upgrade for the upgrade of the Large Hadron Collider, the so-called High Luminosity LHC (HL-LHC), is presented. This paper focuses on one of the latest demonstrator prototypes recently assembled, with numerous unique features. It consists of a shortened, shield-less, and double sided stave, with two candidate power distributions implemented. Thermal and electrical performances of the prototype are presented, as well as a description of the assembly procedures and tools.
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14.
  • Korenblik, R., et al. (author)
  • Dragon 1 Protocol Manuscript : Training, Accreditation, Implementation and Safety Evaluation of Portal and Hepatic Vein Embolization (PVE/HVE) to Accelerate Future Liver Remnant (FLR) Hypertrophy
  • 2022
  • In: Cardiovascular and Interventional Radiology. - : Springer. - 0174-1551 .- 1432-086X. ; 45, s. 1391-1398
  • Journal article (peer-reviewed)abstract
    • Study Purpose The DRAGON 1 trial aims to assess training, implementation, safety and feasibility of combined portal- and hepatic-vein embolization (PVE/HVE) to accelerate future liver remnant (FLR) hypertrophy in patients with borderline resectable colorectal cancer liver metastases. Methods The DRAGON 1 trial is a worldwide multicenter prospective single arm trial. The primary endpoint is a composite of the safety of PVE/HVE, 90-day mortality, and one year accrual monitoring of each participating center. Secondary endpoints include: feasibility of resection, the used PVE and HVE techniques, FLR-hypertrophy, liver function (subset of centers), overall survival, and disease-free survival. All complications after the PVE/HVE procedure are documented. Liver volumes will be measured at week 1 and if applicable at week 3 and 6 after PVE/HVE and follow-up visits will be held at 1, 3, 6, and 12 months after the resection. Results Not applicable. Conclusion DRAGON 1 is a prospective trial to assess the safety and feasibility of PVE/HVE. Participating study centers will be trained, and procedures standardized using Work Instructions (WI) to prepare for the DRAGON 2 randomized controlled trial. Outcomes should reveal the accrual potential of centers, safety profile of combined PVE/HVE and the effect of FLR-hypertrophy induction by PVE/HVE in patients with CRLM and a small FLR.
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  • Casey, Jillian P, et al. (author)
  • A novel approach of homozygous haplotype sharing identifies candidate genes in autism spectrum disorder.
  • 2012
  • In: Human Genetics. - : Springer Science and Business Media LLC. - 0340-6717 .- 1432-1203. ; 131:4, s. 565-579
  • Journal article (peer-reviewed)abstract
    • Autism spectrum disorder (ASD) is a highly heritable disorder of complex and heterogeneous aetiology. It is primarily characterized by altered cognitive ability including impaired language and communication skills and fundamental deficits in social reciprocity. Despite some notable successes in neuropsychiatric genetics, overall, the high heritability of ASD (~90%) remains poorly explained by common genetic risk variants. However, recent studies suggest that rare genomic variation, in particular copy number variation, may account for a significant proportion of the genetic basis of ASD. We present a large scale analysis to identify candidate genes which may contain low-frequency recessive variation contributing to ASD while taking into account the potential contribution of population differences to the genetic heterogeneity of ASD. Our strategy, homozygous haplotype (HH) mapping, aims to detect homozygous segments of identical haplotype structure that are shared at a higher frequency amongst ASD patients compared to parental controls. The analysis was performed on 1,402 Autism Genome Project trios genotyped for 1 million single nucleotide polymorphisms (SNPs). We identified 25 known and 1,218 novel ASD candidate genes in the discovery analysis including CADM2, ABHD14A, CHRFAM7A, GRIK2, GRM3, EPHA3, FGF10, KCND2, PDZK1, IMMP2L and FOXP2. Furthermore, 10 of the previously reported ASD genes and 300 of the novel candidates identified in the discovery analysis were replicated in an independent sample of 1,182 trios. Our results demonstrate that regions of HH are significantly enriched for previously reported ASD candidate genes and the observed association is independent of gene size (odds ratio 2.10). Our findings highlight the applicability of HH mapping in complex disorders such as ASD and offer an alternative approach to the analysis of genome-wide association data.
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  • Result 11-20 of 45
Type of publication
journal article (43)
conference paper (2)
Type of content
peer-reviewed (42)
other academic/artistic (3)
Author/Editor
Gillberg, Christophe ... (8)
Sutcliffe, P. (7)
Palotie, A (6)
Leboyer, Marion (6)
Bacchelli, Elena (6)
Bailey, Anthony J (6)
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Baird, Gillian (6)
Bolton, Patrick F. (6)
Bourgeron, Thomas (6)
Dawson, Geraldine (6)
Folstein, Susan E (6)
Green, Jonathan (6)
Klauck, Sabine M (6)
Lord, Catherine (6)
Maestrini, Elena (6)
Werge, T (5)
Abu Hilal, M (5)
Mattheisen, M (5)
Ripke, S (5)
Daly, MJ (5)
Anney, Richard (5)
Klei, Lambertus (5)
Pinto, Dalila (5)
Regan, Regina (5)
Sykes, Nuala (5)
Pagnamenta, Alistair ... (5)
Almeida, Joana (5)
Battaglia, Agatino (5)
Bolshakova, Nadia (5)
Brennan, Sean (5)
Corsello, Christina (5)
de Jonge, Maretha (5)
Delorme, Richard (5)
Duketis, Eftichia (5)
Duque, Frederico (5)
Estes, Annette (5)
Fernandez, Bridget A (5)
Fombonne, Eric (5)
Freitag, Christine M (5)
Gilbert, John (5)
Guter, Stephen J (5)
Hakonarson, Hakon (5)
Holt, Richard (5)
Hus, Vanessa (5)
Kolevzon, Alexander (5)
Lamb, Janine A (5)
Le Couteur, Ann (5)
Leventhal, Bennett L (5)
Mantoulan, Carine (5)
Marshall, Christian ... (5)
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University
Karolinska Institutet (23)
University of Gothenburg (13)
Uppsala University (10)
Linköping University (4)
Lund University (4)
Royal Institute of Technology (3)
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Stockholm University (2)
Linnaeus University (2)
Umeå University (1)
Halmstad University (1)
Örebro University (1)
Chalmers University of Technology (1)
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Language
English (45)
Research subject (UKÄ/SCB)
Medical and Health Sciences (16)
Natural sciences (9)

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