Results 251 to 260 of about 591,903 (310)

Interpretable deep learning reveals distinct spectral and temporal drivers of perceived musical emotion. [PDF]

Sci Rep
Gu Y, Shao C, Li J, Fan Y.
europepmc   +1 more source

Micro‐transitions and work identity: The case of academic entrepreneurs

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary This paper examines how academic entrepreneurs—scientists who found research‐based startups while remaining in academia—construct and sustain their professional identities amid frequent transitions between academic and entrepreneurial roles.
Marouane Bousfiha, Henrik Berglund
wiley   +1 more source

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

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Musical ability and emotion recognition in speech prosody: The role of pitch discrimination. [PDF]

Psychon Bull Rev
Baldé AM, Schellenberg EG, Lima CF.
europepmc   +1 more source

The impact of peer mentoring on leadership and self-efficacy in higher music education: a mixed-methods study. [PDF]

Front Psychol
Wu Z, Yao C, Yang N.
europepmc   +1 more source

Impact of musical instrument practice on baseline psychomotor and technical skills in novice dental students: a prospective controlled study. [PDF]

BMC Med Educ
Clouet R, Gogendeau C, Tourtelier J, Gaudin A, Prud'homme T, Serisier S.   +5 more
europepmc   +1 more source

M6: multi-generator, multi-domain, multi-lingual and cultural, multi-genres, multi-instrument machine-generated music detection databases. [PDF]

Sci Rep
Li Y, Li H, Specia L, Schuller B.
europepmc   +1 more source

Explainable detection of machine generated music and early systematic evaluation. [PDF]

Sci Rep
Li Y, Sun Q, Li H, Specia L, Schuller BW.   +4 more
europepmc   +1 more source