TY - JOUR
AU - Linko, Veikko
AU - Keller, Adrian
ID - 44504
JF - Small
KW - Biomaterials
KW - Biotechnology
KW - General Materials Science
KW - General Chemistry
SN - 1613-6810
TI - Stability of DNA Origami Nanostructures in Physiological Media: The Role of Molecular Interactions
ER -
TY - THES
AU - Kruse, Anne
ID - 44509
SN - 978-3-8440-8955-4
TI - Entwicklung einer Methode zur Integration der Additiven Fertigung in die Serienproduktion am Beispiel des Lasersinterns
VL - 27
ER -
TY - GEN
AB - For open world applications, deep neural networks (DNNs) need to be aware of
previously unseen data and adaptable to evolving environments. Furthermore, it
is desirable to detect and learn novel classes which are not included in the
DNNs underlying set of semantic classes in an unsupervised fashion. The method
proposed in this article builds upon anomaly detection to retrieve
out-of-distribution (OoD) data as candidates for new classes. We thereafter
extend the DNN by $k$ empty classes and fine-tune it on the OoD data samples.
To this end, we introduce two loss functions, which 1) entice the DNN to assign
OoD samples to the empty classes and 2) to minimize the inner-class feature
distances between them. Thus, instead of ground truth which contains labels for
the different novel classes, the DNN obtains a single OoD label together with a
distance matrix, which is computed in advance. We perform several experiments
for image classification and semantic segmentation, which demonstrate that a
DNN can extend its own semantic space by multiple classes without having access
to ground truth.
AU - Uhlemeyer, Svenja
AU - Lienen, Julian
AU - Hüllermeier, Eyke
AU - Gottschalk, Hanno
ID - 44512
T2 - arXiv:2305.00983
TI - Detecting Novelties with Empty Classes
ER -
TY - CONF
AU - Wurst, Johanna
AU - Steinhoff, Timon
AU - Mozgova, Iryna
AU - Hassel, Thomas
AU - Lachmayer, Roland
ID - 44521
TI - Aspects of a Sustainability Focused Comparison of the Wire Arc Additive Manufacturing (WAAM) and the Laser Powder Bed Fusion (LPBF) Process
ER -
TY - CONF
AU - Wurst, Johanna
AU - Rosemann, Daniel
AU - Mozgova, Iryna
AU - Lachmayer, Roland
ID - 44522
TI - Concept and Implementation of a Student Design Project for the Development of Sustainable Products
ER -
TY - JOUR
AU - Paradies, Jan
ID - 44523
IS - 7
JF - Accounts of Chemical Research
KW - General Medicine
KW - General Chemistry
SN - 0001-4842
TI - Structure–Reactivity Relationships in Borane-Based FLP-Catalyzed Hydrogenations, Dehydrogenations, and Cycloisomerizations
VL - 56
ER -
TY - BOOK
ED - Meier-Gräwe, Uta
ED - Praetorius, Ina
ED - Tecklenburg, Feline
ID - 44524
SN - 9783847425922
TI - Wirtschaft neu ausrichten. Care-Initiativen in Deutschland, Österreich und der Schweiz.
ER -
TY - JOUR
AB - IntroductionExergames are increasingly used in rehabilitation settings for older adults to train physical and cognitive abilities. To meet the potential that exergames hold, they need to be adapted to the individual abilities of the player and their training objectives. Therefore, it is important to know whether and how game characteristics affect their playing. The aim of this study is to investigate the effect of two different kinds of exergame (step game and balance game) played at two difficulty levels on brain activity and physical activity.MethodsTwenty-eight older independently living adults played two different exergames at two difficulty levels each. In addition, the same movements as during gaming (leaning sideways with feet in place and stepping sideways) were performed as reference movements. Brain activity was recorded using a 64-channel EEG system to assess brain activity, while physical activity was recorded using an accelerometer at the lower back and a heart rate sensor. Source-space analysis was applied to analyze the power spectral density in theta (4 Hz–7 Hz) and alpha-2 (10 Hz–12 Hz) frequency bands. Vector magnitude was applied to the acceleration data.ResultsFriedman ANOVA revealed significantly higher theta power for the exergaming conditions compared to the reference movement for both games. Alpha-2 power showed a more diverse pattern which might be attributed to task-specific conditions. Acceleration decreased significantly from the reference movement to the easy condition to the hard condition for both games.DiscussionThe results indicate that exergaming increases frontal theta activity irrespective of type of game or difficulty level, while physical activity decreases with increasing difficulty level. Heart rate was found to be an inappropriate measure in this population older adults. These findings contribute to understanding of how game characteristics affect physical and cognitive activity and consequently need to be taken into account when choosing appropriate games and game settings for exergame interventions.
AU - Müller, Helen
AU - Baumeister, Jochen
AU - Bardal, Ellen Marie
AU - Vereijken, Beatrix
AU - Skjæret-Maroni, Nina
ID - 44545
JF - Frontiers in Aging Neuroscience
KW - Cognitive Neuroscience
KW - Aging
SN - 1663-4365
TI - Exergaming in older adults: the effects of game characteristics on brain activity and physical activity
VL - 15
ER -
TY - CHAP
AU - Labusch, Amelie
AU - Eickelmann, Birgit
ED - Keane, T.
ED - Fluck, A. E.
ID - 43170
SN - 9783031219696
T2 - Teaching coding in K-12 schools: Research and application
TI - Learning Computational Thinking in Secondary School (Year 8) in Germany in International Comparison: Results from ICILS 2018
ER -
TY - CHAP
AU - Schulze, Johanna
AU - Drossel, Kerstin
AU - Eickelmann, Birgit
ED - Irion, T.
ED - Böttinger, T.
ED - Kammerl, R.
ID - 44626
T2 - Professionalisierung für digitale Bildung im Grundschulalter - Ergebnisse des Forschungsprojekts P3DiG
TI - Die inhaltliche Ausgestaltung schulischer Medienkonzepte als Gelingensbedingung digitalisierungsbezogener Schulentwicklungsprozesse
ER -