Institution
Danube University Krems
Education•Krems, 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 published on a yearly basis
Papers
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27 Jul 2019
TL;DR: This work investigated differences between iOS and Android users from the TrackYourHearing mHealth crowdsensing platform, which aims at insights on the daily fluctuations of patients with hearing loss, to see whether these 84 patients differ with respect to the used mobile operating system and their given answers to the EMA measurements.
Abstract: mHealth technologies are increasingly utilized in various medical contexts. Mobile crowdsensing is such a technology, which is often used for data collection scenarios related to questions on chronic disorders. One prominent reason for the latter setting is based on the fact that powerful Ecological Momentary Assessments (EMA) can be performed. Notably, when mobile crowdsensing solutions are used to integrate EMA measurements, many new challenges arise. For example, the measurements must be provided in the same way on different mobile operating systems. However, the newly given possibilities can surpass the challenges. For example, if different mobile operating systems must be technically provided, one direction could be to investigate whether users of different mobile operating systems pose a different behaviour when performing EMA measurements. In a previous work, we investigated differences between iOS and Android users from the TrackYourTinnitus mHealth crowdsensing platform, which has the goal to reveal insights on the daily fluctuations of tinnitus patients. In this work, we investigated differences between iOS and Android users from the TrackYourHearing mHealth crowdsensing platform, which aims at insights on the daily fluctuations of patients with hearing loss. We analyzed 3767 EMA measurements based on a daily applied questionnaire of 84 patients. Statistical analyses have been conducted to see whether these 84 patients differ with respect to the used mobile operating system and their given answers to the EMA measurements. We present the obtained results and compare them to the previous mentioned study. Our insights show the differences in the two studies and that the overall results are worth being investigated in a more in-depth manner. Particularly, it must be investigated whether the used mobile operating system constitutes a confounder when gathering EMA-based data through a crowdsensing platform.
8 citations
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TL;DR: In this paper, the authors examined if parties use committee chairs to control their coalition partner and found that cross-partisan committee chairs will increase the probability that a legislative proposal is changed by the committee.
Abstract: Previous research found that coalition partners do not only control each other within the government, but also use instruments of the legislative arena. While the literature has mainly concentrated on parliamentary scrutiny, much less is known about the power of committee chairs in the policy-making process. Therefore, thispaper examines if parties use committee chairs to control their coalition partner. Wehypothesize that cross-partisan committee chairs will increase the probability that a legislative proposal is changed by the committee. Our theoretical expectations are tested with the help of a newly compiled, comprehensive data set of committee decisions on legislative proposals from 15 German Bundeslander. The case selection allows us to hold important institutional characteristics constant while increasing the variance of the variables on the government level. Our results confirm that committee chairs act as supervisory body and thus add empirical evidence to our understanding of oversight mechanisms in coalition governance.
8 citations
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TL;DR: In this article, a novel magnetic field transducer based on a MOEMS readout is described, where the silicon structure is deflected in a static magnetic field due to the Lorentz force.
8 citations
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TL;DR: In this paper, the negative effect of time zone differences on international tourism in a global sample of countries over the period 1995-2013 was investigated using a gravity-type model, and the results showed that international tourism was negatively affected.
Abstract: This research note reports novel results on the negative effect of time zone differences on international tourism in a global sample of countries over the period 1995–2013. A gravity-type model, wh...
8 citations
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28 Oct 2013TL;DR: A concept of a flow sensor optimized for the use in HVAC (Heating Ventilating Air Conditioning) systems is presented and the fabrication of the transducer is based on PCB technology to keep costs low and allow for easy handling and replacement.
Abstract: A concept of a flow sensor optimized for the use in HVAC (Heating Ventilating Air Conditioning) systems is presented. The fabrication of the transducer is based on PCB (Printed Circuit Board) technology to keep costs low and allow for easy handling and replacement. The complete sensor device consists of a quantizer, a conversion circuitry, and a network link. Through interaction with the streaming fluid, the transducer generates an electrically measurable signal which allows determination of the total flow of the fluid. The measurement principle is based on a modification of the calorimetric principle. Hence, miniaturized heat sources and nearby temperature detectors have to be implemented. The behavior and performance of the sensor concept has been studied by means of finite element simulations. The quasistatic and transient simulations reveal the temperature allocation inside the sensor and the surrounding fluid and therefore allow a further optimization of the sensor for different applications.
8 citations
Authors
Showing all 514 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jaakko Tuomilehto | 115 | 1285 | 210682 |
Massimo Zeviani | 104 | 478 | 39743 |
J. Tuomilehto | 69 | 197 | 19801 |
Manfred Reichert | 67 | 695 | 19569 |
Roland W. Scholz | 64 | 289 | 15387 |
Michael Brainin | 55 | 215 | 44194 |
Gerald Gartlehner | 54 | 295 | 15320 |
Thomas Schrefl | 50 | 403 | 10867 |
Charity G. Moore | 50 | 179 | 11040 |
Josef Finsterer | 48 | 1479 | 13836 |
Silvia Miksch | 44 | 264 | 7790 |
J. Tuomilehto | 44 | 107 | 11425 |
Heinrich Schima | 43 | 249 | 5973 |
Reinhard Bauer | 40 | 228 | 5435 |
Thomas Groth | 38 | 186 | 5191 |