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Institution

Danube University Krems

EducationKrems, Niederösterreich, Austria
About: Danube University Krems is a education organization based out in Krems, Niederösterreich, Austria. It is known for research contribution in the topics: Stroke & Population. The organization has 498 authors who have published 1572 publications receiving 68797 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, a two-step load-deflection (LD) formula and technique was proposed to obtain the Young's modulus and residual tensile stress from LD measurements on circularly shaped thin-film diaphragms.
Abstract: We report on a novel two-step load-deflection (LD) formula and technique that enables an accurate extraction of the Young's modulus and the residual tensile stress from LD measurements on circularly shaped thin-film diaphragms. This LD relationship is derived from an adaptation of Timoshenko's plate bending theory, where the in-plane and out-of-plane deflections are approximated by series expansions. Utilizing the minimum total potential energy principle yields an infinite-dimensional system of equations which is solved analytically resulting in a compact closed-form solution. In the appendant measurement procedure, the whole transverse bending characteristic of the diaphragm as a function of the radial coordinate is recorded for different pressure loads and introduced into the novel LD equation in order to determine the elastomechanical parameters of interest. The flexibility of this approach is demonstrated by ascertaining the Young's modulus and the residual tensile stress of two disparate diaphragm materials made of either micromachined silicon or microfiltered buckypapers composed of carbon nanotube compounds.

6 citations

Journal ArticleDOI
TL;DR: The basic sensor setup and according models in frequency and time domain allowing to extract the acoustic viscosity from the measurement data are presented and according calibration and correction strategies are presented.
Abstract: We present a two transducer setup suited for the determination of the second coefficient of viscosity, sometimes also termed acoustic viscosity. We present the basic sensor setup and according models in frequency and time domain allowing to extract the acoustic viscosity from the measurement data. We illustrate the approach using experimental data obtained with a demonstrator device. The setup, which has potential for further miniaturization, is operated in the time domain. Unwanted spurious effects and imperfections, such as diffraction, acoustic matching losses, and transducer losses, are discussed and according calibration and correction strategies are presented.

6 citations

Journal ArticleDOI
TL;DR: The hypothesis that how depression is assessed – interview-based corresponding to the ICD-10 or with the CES-D – contributes to the association between depression and pain treatment outcome could not be confirmed.
Abstract: Purpose: Pain and depression have been shown to have a bidirectional interaction. Although several outcome studies have been conducted, it is still unclear if and how depression influences pain outcome. The current study aims to further clarify this relationship by comparing the predicting value of an interview- and a questionnaire-based assessment of depression. Patients and methods: This retrospective study analyzed data of N=496 chronic pain patients who received a multimodal pain management program. Multilevel models were performed with depression as predictor, pain measures as dependent variables, and the respective pain score at baseline as covariate. Depression was measured at baseline with (1) a semi-structured psychiatric interview corresponding to the ICD 10 and (2) the Center for Epidemiologic Studies Depression Scale (CES-D). Pain outcomes were pain intensity assessed with the Numeric Rating Scale (NRS), pain disability measured with the Pain Disability Index (PDI), and affective as well as sensory pain perception assessed with the Pain Perception Scale (PPS-A / PPS-S). Results: At post-treatment, pain intensity (NRS) was higher in patients with depression. This result emerged for interview- (ICD-10) and questionnaire- (CES-D) based depression. These results were significant after correction for multiple testing as well. Moreover, affective pain perception (PSS-A) at post-treatment was higher in patients with depression. Again, this result emerged for interview- (ICD-10) and questionnaire- (CES-D) based depression but it was not significant anymore after correction for multiple testing. Furthermore, pain disability (PDI) was higher at post-treatment in patients with depression according to the CES-D than in those without CES-D depression and this difference in the PDI did not emerge for interview-based depression. Yet, this difference on the PDI between the CES-D depression group and the CES-D no depression group was not significant anymore after correction for multiple testing. Conclusion: The hypothesis that how depression is assessed – interview-based corresponding to the ICD 10 or with the CES-D – contributes to the association between depression and pain treatment outcome could not be confirmed. Future research should use more than one interview and questionnaire to assess depression, since our results are limited to the clinical ICD-10 interview and the CES-D.

6 citations

Book ChapterDOI
TL;DR: Results from observations and interviews within the research project InnoMat are presented to answer the question how self-efficacy influences the ticket buying behavior and show that this motivational factor leads to an active avoidance of ticket machines.
Abstract: Many subgroups in today's society are not skilled in using novel technologies. Even everyday technologies pose a barrier to technically non-skilled people and --- if they fail to use them --- exclude them from important parts of daily life. In this paper we discuss the relevance of self-efficacy for the use of one specific kind of everyday technology: the ticket vending machine. Results from observations and interviews within the research project InnoMat are presented to answer the question how self-efficacy influences the ticket buying behavior and show that this motivational factor leads to an active avoidance of ticket machines. Negative experiences seem to be one of the strongest influences, which indicate that the group of technically non-skilled users should be given special attention when developing a new generation of ticket vending machines.

6 citations

Journal ArticleDOI
TL;DR: In this article, the authors show the results of constructing optimized, multi-asset, globally allocated portfolios while respecting sharia, showing that these portfolios have at least equal return and risk characteristics to conventional peers, or are perhaps in some ways superior.
Abstract: Despite Muslims comprising a quarter of the world’s population, almost none of the $100 trillion in professionally managed global assets are sharia compliant. Constraints such as ESG and SRI are common among pension funds, endowments and sovereign wealth funds. Typical constraints include alcohol, tobacco, weapons and environmentally damaging activities. Such securities are excluded from morally constrained portfolios. Sharia applies the same, but adds one more key constraint: securities with debt-related features. Otherwise, sharia is identical to most ethical constraints. This study shows the results of constructing optimized, multi-asset, globally allocated portfolios while respecting sharia. The construction of these portfolios follows contemporary regulatory standards and professional best practices that evolved from investment theory. Results indicate multi-asset sharia portfolios have at least equal return and risk characteristics to conventional peers, or are perhaps in some ways superior. Many Muslims profess to care about sharia, including with their savings. This study provides insight for professional asset managers in applying sharia with modern portfolio theory, which could substantially enhance wealth and asset managers seeking business in this sector.

5 citations


Authors

Showing all 514 results

NameH-indexPapersCitations
Jaakko Tuomilehto1151285210682
Massimo Zeviani10447839743
J. Tuomilehto6919719801
Manfred Reichert6769519569
Roland W. Scholz6428915387
Michael Brainin5521544194
Gerald Gartlehner5429515320
Thomas Schrefl5040310867
Charity G. Moore5017911040
Josef Finsterer48147913836
Silvia Miksch442647790
J. Tuomilehto4410711425
Heinrich Schima432495973
Reinhard Bauer402285435
Thomas Groth381865191
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202221
2021176
2020165
2019157
2018144