Results 231 to 240 of about 166,525 (256)

Associations between music training and language fluency on cognitive control and processing speed. [PDF]

Front Psychol
Bugos JA, Laubisch KR, Zhu A, Avendaño JS, Bryant JB.   +4 more
europepmc   +1 more source

Increased Callosal Thickness in Early Trained Opera Singers. [PDF]

Brain Topogr
Kleber B, Dale C, Zamorano AM, Lotze M, Luders E, Kurth F.   +5 more
europepmc   +1 more source

Cròniques d'El Retiro [PDF]

Borràs i Badia, Lola
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The Royal Tajo Opera Theatre of Lisbon: From architecture to acoustics.

Journal of the Acoustical Society of America, 2023
Throughout history, many buildings of significant cultural value have been lost due to natural disasters (e.g., earthquakes, volcanic eruptions, subsidence, etc.) as well as other human causes (e.g., fire, war destruction, etc.).
L. Tronchin, A. Bevilacqua
semanticscholar   +1 more source

Utilising technology as a transmission strategy in intangible cultural heritage: the case of Cantonese opera performances

International Journal of Heritage Studies (IJHS), 2023
Globalised technological advancements have radically transformed how intangible cultural heritage (ICH) is inherited in contemporary society. Despite being recognised as a Human ICH by the United Nations Educational, Scientific, and Cultural Organisation,
F. Chung
semanticscholar   +1 more source

OPERA: Optional Dimensional Privacy-Preserving Data Aggregation for Smart Healthcare Systems

IEEE Transactions on Industrial Informatics, 2023
Massive multidimensional health data collected from Internet of Things (IoT) devices are driving a new era of smart health, and with it come privacy concerns.
Huadong Liu, T. Gu, Mohammad Shojafar, M. Alazab, Yining Liu   +4 more
semanticscholar   +1 more source

OperA: Attention-Regularized Transformers for Surgical Phase Recognition

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021
In this paper we introduce OperA, a transformer-based model that accurately predicts surgical phases from long video sequences. A novel attention regularization loss encourages the model to focus on high-quality frames during training.
Tobias Czempiel, Magdalini Paschali, D. Ostler, S. T. Kim, Benjamin Busam, N. Navab   +5 more
semanticscholar   +1 more source