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Träfflista för sökning "WFRF:(Wise I) "

Search: WFRF:(Wise I)

  • Result 1-10 of 57
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  • Murari, A., et al. (author)
  • A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors
  • 2024
  • In: Nature Communications. - 2041-1723 .- 2041-1723. ; 15:1
  • Journal article (peer-reviewed)abstract
    • The objective of thermonuclear fusion consists of producing electricity from the coalescence of light nuclei in high temperature plasmas. The most promising route to fusion envisages the confinement of such plasmas with magnetic fields, whose most studied configuration is the tokamak. Disruptions are catastrophic collapses affecting all tokamak devices and one of the main potential showstoppers on the route to a commercial reactor. In this work we report how, deploying innovative analysis methods on thousands of JET experiments covering the isotopic compositions from hydrogen to full tritium and including the major D-T campaign, the nature of the various forms of collapse is investigated in all phases of the discharges. An original approach to proximity detection has been developed, which allows determining both the probability of and the time interval remaining before an incoming disruption, with adaptive, from scratch, real time compatible techniques. The results indicate that physics based prediction and control tools can be developed, to deploy realistic strategies of disruption avoidance and prevention, meeting the requirements of the next generation of devices.
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  • Ruilope, LM, et al. (author)
  • Design and Baseline Characteristics of the Finerenone in Reducing Cardiovascular Mortality and Morbidity in Diabetic Kidney Disease Trial
  • 2019
  • In: American journal of nephrology. - : S. Karger AG. - 1421-9670 .- 0250-8095. ; 50:5, s. 345-356
  • Journal article (peer-reviewed)abstract
    • <b><i>Background:</i></b> Among people with diabetes, those with kidney disease have exceptionally high rates of cardiovascular (CV) morbidity and mortality and progression of their underlying kidney disease. Finerenone is a novel, nonsteroidal, selective mineralocorticoid receptor antagonist that has shown to reduce albuminuria in type 2 diabetes (T2D) patients with chronic kidney disease (CKD) while revealing only a low risk of hyperkalemia. However, the effect of finerenone on CV and renal outcomes has not yet been investigated in long-term trials. <b><i>Patients and</i></b> <b><i>Methods:</i></b> The Finerenone in Reducing CV Mortality and Morbidity in Diabetic Kidney Disease (FIGARO-DKD) trial aims to assess the efficacy and safety of finerenone compared to placebo at reducing clinically important CV and renal outcomes in T2D patients with CKD. FIGARO-DKD is a randomized, double-blind, placebo-controlled, parallel-group, event-driven trial running in 47 countries with an expected duration of approximately 6 years. FIGARO-DKD randomized 7,437 patients with an estimated glomerular filtration rate ≥25 mL/min/1.73 m<sup>2</sup> and albuminuria (urinary albumin-to-creatinine ratio ≥30 to ≤5,000 mg/g). The study has at least 90% power to detect a 20% reduction in the risk of the primary outcome (overall two-sided significance level α = 0.05), the composite of time to first occurrence of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. <b><i>Conclusions:</i></b> FIGARO-DKD will determine whether an optimally treated cohort of T2D patients with CKD at high risk of CV and renal events will experience cardiorenal benefits with the addition of finerenone to their treatment regimen. Trial Registration: EudraCT number: 2015-000950-39; ClinicalTrials.gov identifier: NCT02545049.
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  • van Haarlem, M. P., et al. (author)
  • LOFAR : The LOw-Frequency ARray
  • 2013
  • In: Astronomy and Astrophysics. - : EDP Sciences. - 0004-6361 .- 1432-0746. ; 556, s. 1-53
  • Journal article (peer-reviewed)abstract
    • LOFAR, the LOw-Frequency ARray, is a new-generation radio interferometer constructed in the north of the Netherlands and across europe. Utilizing a novel phased-array design, LOFAR covers the largely unexplored low-frequency range from 10–240 MHz and provides a number of unique observing capabilities. Spreading out from a core located near the village of Exloo in the northeast of the Netherlands, a total of 40 LOFAR stations are nearing completion. A further five stations have been deployed throughout Germany, and one station has been built in each of France, Sweden, and the UK. Digital beam-forming techniques make the LOFAR system agile and allow for rapid repointing of the telescope as well as the potential for multiple simultaneous observations. With its dense core array and long interferometric baselines, LOFAR achieves unparalleled sensitivity and angular resolution in the low-frequency radio regime. The LOFAR facilities are jointly operated by the International LOFAR Telescope (ILT) foundation, as an observatory open to the global astronomical community. LOFAR is one of the first radio observatories to feature automated processing pipelines to deliver fully calibrated science products to its user community. LOFAR’s new capabilities, techniques and modus operandi make it an important pathfinder for the Square Kilometre Array (SKA). We give an overview of the LOFAR instrument, its major hardware and software components, and the core science objectives that have driven its design. In addition, we present a selection of new results from the commissioning phase of this new radio observatory.
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  • van Weeren, R. J., et al. (author)
  • Lofar low-band antenna observations of the 3C 295 and boötes fields: Source counts and ultra-steep spectrum sources
  • 2014
  • In: Astrophysical Journal. - 1538-4357 .- 0004-637X. ; 793:2, s. art. 82-
  • Journal article (peer-reviewed)abstract
    • We present Low Frequency Array (LOFAR) Low Band observations of the Bootes and 3C 295 fields. Our images made at 34, 46, and 62 MHz reach noise levels of 12, 8, and 5 mJy beam(-1), making them the deepest images ever obtained in this frequency range. In total, we detect between 300 and 400 sources in each of these images, covering an area of 17-52 deg(2). From the observations, we derive Euclidean-normalized differential source counts. The 62 MHz source counts agree with previous GMRT 153 MHz and Very Large Array 74 MHz differential source counts, scaling with a spectral index of -0.7. We find that a spectral index scaling of -0.5 is required to match up the LOFAR 34 MHz source counts. This result is also in agreement with source counts from the 38 MHz 8C survey, indicating that the average spectral index of radio sources flattens toward lower frequencies. We also find evidence for spectral flattening using the individual flux measurements of sources between 34 and 1400 MHz and by calculating the spectral index averaged over the source population. To select ultra-steep spectrum (alpha
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  • Result 1-10 of 57
Type of publication
journal article (53)
research review (4)
Type of content
peer-reviewed (56)
other academic/artistic (1)
Author/Editor
Orru, E. (26)
Hoeft, M. (26)
Ferrari, C. (25)
de Gasperin, F. (24)
Best, P. (24)
Garrett, M. A. (24)
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Heald, G. (24)
Wucknitz, O. (24)
Falcke, H. (24)
Ciardi, B. (23)
Steinmetz, M. (23)
van Weeren, R. J. (23)
Pandey-Pommier, M. (23)
Brüggen, M. (23)
Bentum, M. J. (22)
Breitling, F. (22)
McKean, J. P. (22)
Pizzo, R. (22)
Bonafede, A. (22)
Kuper, G. (22)
Anderson, J. (21)
Bell, M. E. (21)
Reich, W. (21)
Zarka, P. (21)
Frieswijk, W. (21)
Kondratiev, V. I. (21)
Kuniyoshi, M. (21)
Sluman, J. (21)
Bernardi, G. (20)
Polatidis, A. G. (20)
Smirnov, O. (20)
Tagger, M. (20)
Avruch, I. M. (20)
Maat, P. (20)
Munk, H. (20)
Tang, Y. (20)
Gunst, A. W. (19)
de Geus, E. (19)
Butcher, H. R. (19)
Duscha, S. (19)
Vocks, C. (19)
Karastergiou, A. (18)
Conway, John, 1963 (18)
Paas, H. (18)
van Leeuwen, J. (17)
Juette, E. (17)
Mann, G. (17)
Yatawatta, S. (17)
Asgekar, A. (17)
Fallows, R. A. (17)
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University
Chalmers University of Technology (26)
Karolinska Institutet (20)
Linnaeus University (14)
University of Gothenburg (4)
Stockholm University (4)
Lund University (4)
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Royal Institute of Technology (3)
Uppsala University (3)
Umeå University (2)
Linköping University (2)
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Language
English (57)
Research subject (UKÄ/SCB)
Natural sciences (35)
Medical and Health Sciences (13)
Engineering and Technology (4)

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