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Institution

University of Vienna

EducationVienna, Austria
About: University of Vienna is a education organization based out in Vienna, Austria. It is known for research contribution in the topics: Population & Stars. The organization has 44686 authors who have published 95840 publications receiving 2907492 citations.


Papers
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Journal ArticleDOI
07 Oct 1990
TL;DR: In this paper, the authors explore the dependency of the conduction losses of a bridge leg of a PWM power converter system with a high pulse rate on the shape of the phase modulation functions.
Abstract: The authors explore the dependency of the conduction losses of a bridge leg of a pulsewidth modulation (PWM) power converter system with a high pulse rate on the shape of the phase modulation functions. This is done for modulation methods that are optimized with respect to minimum harmonic current RMS values. The results are compared to the results gained for simple sinusoidal modulation. Besides conduction losses, the switching losses of the electric valves are calculated. The main topic is the determination of those power loss components of a PWM converter system that can be (besides the harmonic losses) influenced by the modulation method selected. As the calculations show, these modulation methods allow a significant increase of the effective switching frequency. The optimal modulation as calculated leads to a reduction of the harmonic power loss in the upper modulation region. Furthermore, due to the frequency modulation the spectrum is spread out to a wider frequency band as compared to operation with constant pulse frequency. >

571 citations

Journal ArticleDOI
TL;DR: Individual cytokeratins provide tissue- or cell type-specific markers that are useful in the definition and identification of the relatedness or the origin of epithelial and carcinoma cells.

571 citations

Journal ArticleDOI
TL;DR: In this paper, the authors provide a knowledge of how to design a high quality mixed methods research study, and explain the seven major design dimensions: purpose, theoretical drive, timing (simultaneity and dependency), point of integration, typological versus interactive design approaches, planned versus emergent design, and design complexity.
Abstract: This article provides researchers with knowledge of how to design a high quality mixed methods research study. To design a mixed study, researchers must understand and carefully consider each of the dimensions of mixed methods design, and always keep an eye on the issue of validity. We explain the seven major design dimensions: purpose, theoretical drive, timing (simultaneity and dependency), point of integration, typological versus interactive design approaches, planned versus emergent design, and design complexity. There also are multiple secondary dimensions that need to be considered during the design process. We explain ten secondary dimensions of design to be considered for each research study. We also provide two case studies showing how the mixed designs were constructed.

570 citations

Journal ArticleDOI
TL;DR: In this paper, Ross et al. showed that CRP levels do not correlate with the extent and severity of coronary narrowing assessed by angiography, and other mechanisms such as acute inflammation with plaque instability and rupture may explain the higher cardiovascular event rate in patients with elevated CRP.
Abstract: In summary, this study shows that CRP levels do not correlate with the extent and severity of coronary narrowing assessed by angiography. Other mechanisms such as acute inflammation with plaque instability and rupture may explain the higher cardiovascular event rate in patients with elevated CRP levels. 1. Ross R. Atherosclerosis—an inflammatory disease. N Engl J Med 1999;340:

568 citations


Authors

Showing all 45262 results

NameH-indexPapersCitations
Tomas Hökfelt158103395979
Wolfgang Wagner1562342123391
Hans Lassmann15572479933
Stanley J. Korsmeyer151316113691
Charles B. Nemeroff14997990426
Martin A. Nowak14859194394
Barton F. Haynes14491179014
Yi Yang143245692268
Peter Palese13252657882
Gérald Simonneau13058790006
Peter M. Elias12758149825
Erwin F. Wagner12537559688
Anton Zeilinger12563171013
Wolfgang Waltenberger12585475841
Michael Wagner12435154251
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023419
20221,085
20214,479
20204,533
20194,225