69 Dokumente gefunden
A toolbox for calculating quantitative image properties in aesthetics research
Abstract Over the past two decades, researchers in the field of visual aesthetics have studied numerous quantitative (objective) image properties and how they relate to visual aesthetic appreciation. However, results are difficult to compare between research groups. One reason is that researchers use…
New York: Springer US, 2025-03-14
Modeling preference in fictional texts based on structural features
Computational textual aesthetics is an emerging field that aims to investigate observable differences between aesthetic categories of text. In this study, we explored structural differences between preferred and non-preferred fictional texts. To put our results into perspective, we also analyzed non-fictional…
Statistical image properties and aesthetic judgments on abstract paintings by Robert Pepperell
In this exploratory study, we asked whether objective statistical image properties can predict subjective aesthetic ratings for a set of 48 abstract paintings created by the artist Robert Pepperell. Ruta and colleagues (2021) used the artworks previously to study the effect of curved/angular contour…
Rockville, Md.: ARVO, 2023-06-01
Statistischen Bildeigenschaften und die ästhetische Wahrnehmung von abstrakter Kunst
Diese Dissertation untersucht die ästhetische Wahrnehmung von abstrakten Kunstbildern, die von menschlichen Künstlerinnen oder mit Hilfe von computer-gestützten Algorithmen, unter anderem mit dem Neural Style Transfer, kurz NST; Kolkin et al. 2019) geschaffen wurden. Mit Hilfe des NST kann der "Stil"…
Comparative Analysis of Preference in Contemporary and Earlier Texts Using Entropy Measures
Research in computational textual aesthetics has shown that there are textual correlates of preference in prose texts. The present study investigates whether textual correlates of preference vary across different time periods (contemporary texts versus texts from the 19th and early 20th centuries). Preference…
Basel: MDPI, 2023-03-10
Statistical image properties predict aesthetic ratings in abstract paintings created by neural style transfer
Artificial intelligence has emerged as a powerful computational tool to create artworks. One application is Neural Style Transfer, which allows to transfer the style of one image, such as a painting, onto the content of another image, such as a photograph. In the present study, we ask how Neural Style…
Lausanne: Frontiers Research Foundation, 2022-10-13
Integration of ultrasonography training into undergraduate medical education: catch up with professional needs
Abstract Objective Ultrasonography (US) has become the first-line imaging modality even for physicians who are not imaging specialists. The progress has not yet been sufficiently considered in medical education. The aim was to develop a curriculum that integrates US as a compulsory part into medical…
Berlin: Springer International Publishing, 2022-09-24
Approximate Entropy in Canonical and Non-Canonical Fiction
: Computational textual aesthetics aims at studying observable differences between aesthetic categories of text. We use Approximate Entropy to measure the (un)predictability in two aesthetic text categories, i.e., canonical fiction (‘classics’) and non-canonical fiction (with lower prestige). Approximate…
Basel: MDPI, 2022-02-15
Die ästhetische Wahrnehmung von Linienmustern : Abhängigkeit von Kurvilinearität und Kantenorientierungen
Die Experimentelle Ästhetik befasst sich mit der Frage, welche Präferenzen Menschen bei der Bewertung visueller Reize haben. Das Ziel der Untersuchungen ist es herauszufinden, wie die physikalische Struktur von visuellen Reizen die ästhetische Wahrnehmung bedingt. Dadurch sollen auch Hinweise darauf…
Fractality and variability in canonical and non-canonical English fiction and in non-fictional texts
This study investigates global properties of three categories of English text: canonical fiction, non-canonical fiction, and non-fictional texts. The central hypothesis of the study is that there are systematic differences with respect to structural design features between canonical and non-canonical…
Lausanne: Frontiers Research Foundation, 2021-03-31
3. Seminar (03.06.2020): Kopf-1, Teil 3
Vorlesungsinhalt: Hirnnerven; Foramina in der Schädelbasis; Knöcherne Begrenzung der Orbita; Sinus und Ausführungsgänge; Nasenmuscheln und -scheidewand
16. Vorlesung (02.06.2020): Nervensystem, Teil 6
Vorlesungsinhalt: Rückenmark; Somatotopie; Limbisches System
15. Vorlesung (02.06.2020): Nervensystem, Teil 5
Vorlesungsinhalt: Äußeres Ohr; Innenohr; Gehörknöchelchen; Corti-Organ; Tonotopie; Vestibuläres System
13. Vorlesung (20.05.2020): Nervensystem, Teil 3
Vorlesungsinhalt: Häute des Gehirns und Rückenmarks; Venen des Gehirns; Arterielle Versorgung des Gehirns
12. Vorlesung (11.05.2020): Nervensystem, Teil 2
Vorlesungsinhalt: Rückenmark - Gliederung, Reflexe; Entwicklung des Nervensystems