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Simon W. Ginzinger
Researcher at University of Salzburg
Publications - 21
Citations - 924
Simon W. Ginzinger is an academic researcher from University of Salzburg. The author has contributed to research in topics: Augmented reality & Frozen shoulder. The author has an hindex of 10, co-authored 20 publications receiving 782 citations. Previous affiliations of Simon W. Ginzinger include Ludwig Maximilian University of Munich.
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Journal ArticleDOI
SHIFTX2: significantly improved protein chemical shift prediction
TL;DR: A new computer program, called SHIFTX2, is described which is capable of rapidly and accurately calculating diamagnetic 1H, 13C and 15N chemical shifts from protein coordinate data and will open the door to many long-anticipated applications of chemical shift prediction to protein structure determination, refinement and validation.
Journal ArticleDOI
No haste, more taste: An EMA study of the effects of stress, negative and positive emotions on eating behavior
Julia Reichenberger,Peter Kuppens,Michael Liedlgruber,Frank H. Wilhelm,Martin Tiefengrabner,Simon W. Ginzinger,Jens Blechert +6 more
TL;DR: The effects of stress, negative and positive emotions on two key facets of eating behavior, namely taste- and hunger-based eating, in daily life using ecological momentary assessment (EMA) were delineated.
Book ChapterDOI
A 2-approximation algorithm for sorting by prefix reversals
TL;DR: This work presents the first polynomial-time 2-approximation algorithm to solve the problem of sorting by Prefix Reversals, where the only allowed operations are reversals of a prefix of the permutation.
Journal ArticleDOI
Training of Carbohydrate Estimation for People with Diabetes Using Mobile Augmented Reality
Michael Domhardt,Martin Tiefengrabner,Radomir Dinic,Ulrike Fötschl,Gertie Janneke Oostingh,Thomas Stütz,Lars Stechemesser,Raimund Weitgasser,Simon W. Ginzinger +8 more
TL;DR: Intervention with smartphone applications to assist carbohydrate counting apparently results in more accurate estimations, albeit several problems with the usage of BEAR were reported.
Book ChapterDOI
Smartphone Based Stress Prediction
Thomas Stütz,Thomas Kowar,Michael Kager,Martin Tiefengrabner,Markus Stuppner,Jens Blechert,Frank H. Wilhelm,Simon W. Ginzinger +7 more
TL;DR: A user study in which smartphone data and stress (as measured by the PSS seven times a day) were recorded for two weeks found significant correlations between stress scores and smartphone usage as well as sensor data, pointing to innovative ways for automatic stress measurements via smartphone technology.