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Search: WFRF:(Schneider W) > (2020-2024)

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1.
  • Fenstermacher, M.E., et al. (author)
  • DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy
  • 2022
  • In: Nuclear Fusion. - : IOP Publishing. - 0029-5515 .- 1741-4326. ; 62:4
  • Journal article (peer-reviewed)abstract
    • DIII-D physics research addresses critical challenges for the operation of ITER and the next generation of fusion energy devices. This is done through a focus on innovations to provide solutions for high performance long pulse operation, coupled with fundamental plasma physics understanding and model validation, to drive scenario development by integrating high performance core and boundary plasmas. Substantial increases in off-axis current drive efficiency from an innovative top launch system for EC power, and in pressure broadening for Alfven eigenmode control from a co-/counter-I p steerable off-axis neutral beam, all improve the prospects for optimization of future long pulse/steady state high performance tokamak operation. Fundamental studies into the modes that drive the evolution of the pedestal pressure profile and electron vs ion heat flux validate predictive models of pedestal recovery after ELMs. Understanding the physics mechanisms of ELM control and density pumpout by 3D magnetic perturbation fields leads to confident predictions for ITER and future devices. Validated modeling of high-Z shattered pellet injection for disruption mitigation, runaway electron dissipation, and techniques for disruption prediction and avoidance including machine learning, give confidence in handling disruptivity for future devices. For the non-nuclear phase of ITER, two actuators are identified to lower the L-H threshold power in hydrogen plasmas. With this physics understanding and suite of capabilities, a high poloidal beta optimized-core scenario with an internal transport barrier that projects nearly to Q = 10 in ITER at ∼8 MA was coupled to a detached divertor, and a near super H-mode optimized-pedestal scenario with co-I p beam injection was coupled to a radiative divertor. The hybrid core scenario was achieved directly, without the need for anomalous current diffusion, using off-axis current drive actuators. Also, a controller to assess proximity to stability limits and regulate β N in the ITER baseline scenario, based on plasma response to probing 3D fields, was demonstrated. Finally, innovative tokamak operation using a negative triangularity shape showed many attractive features for future pilot plant operation.
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2.
  • 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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3.
  • Tran, K. B., et al. (author)
  • The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019
  • 2022
  • In: Lancet. - 0140-6736. ; 400:10352, s. 563-591
  • Journal article (peer-reviewed)abstract
    • Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% [47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% [32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% [27.9-42.8] and 33.3% [25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
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4.
  • Niemi, MEK, et al. (author)
  • 2021
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  • Glasbey, JC, et al. (author)
  • 2021
  • swepub:Mat__t
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  • Result 1-10 of 143
Type of publication
journal article (125)
research review (8)
conference paper (4)
other publication (3)
Type of content
peer-reviewed (127)
other academic/artistic (11)
pop. science, debate, etc. (1)
Author/Editor
Kumar, A. (13)
Hanson, K. (13)
Silva, M. (12)
Diaz-Velez, J. C. (12)
Chen, C. (11)
Kolanoski, H. (11)
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Moore, R. W. (11)
Nagai, R. (11)
Bai, X. (11)
Snihur, R. (11)
Kowalski, M. (11)
Ahmad, S. (11)
Van Eijndhoven, N. (11)
Ackermann, M. (11)
Adams, J. (11)
Aguilar, J. A. (11)
Barwick, S. W. (11)
Bay, R. (11)
Beatty, J. J. (11)
BenZvi, S. (11)
Berley, D. (11)
Bernardini, E. (11)
Besson, D. Z. (11)
Blaufuss, E. (11)
Chirkin, D. (11)
Cowen, D. F. (11)
De Clercq, C. (11)
Desiati, P. (11)
de Vries, K. D. (11)
de Wasseige, G. (11)
DeYoung, T. (11)
Ehrhardt, T. (11)
Fazely, A. R. (11)
Gerhardt, L. (11)
Grant, D. (11)
Halzen, F. (11)
Helbing, K. (11)
Hickford, S. (11)
Hoffman, K. D. (11)
Hoshina, K. (11)
In, S. (11)
Ishihara, A. (11)
Japaridze, G. S. (11)
Kappes, A. (11)
Karg, T. (11)
Karle, A. (11)
Kauer, M. (11)
Kelley, J. L. (11)
Kheirandish, A. (11)
Kiryluk, J. (11)
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University
Karolinska Institutet (61)
University of Gothenburg (45)
Uppsala University (27)
Stockholm University (27)
Chalmers University of Technology (23)
Lund University (16)
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Umeå University (13)
Royal Institute of Technology (12)
Linköping University (4)
Karlstad University (4)
Swedish University of Agricultural Sciences (4)
Linnaeus University (3)
Luleå University of Technology (2)
Malmö University (2)
Jönköping University (1)
Stockholm School of Economics (1)
Mid Sweden University (1)
Södertörn University (1)
University of Skövde (1)
Swedish Museum of Natural History (1)
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Language
English (143)
Research subject (UKÄ/SCB)
Medical and Health Sciences (60)
Natural sciences (55)
Engineering and Technology (10)
Social Sciences (8)

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