Zobrazeno 1 - 10
of 91 760
pro vyhledávání: '"A. Møller"'
Publikováno v:
Scandinavian Journal of Primary Health Care, Vol 41, Iss 4, Pp 445-456 (2023)
AbstractObjectives To describe current stay-at-work practices among Danish general practitioners (GPs) in relation to patients with musculoskeletal disorders, to identify potential avenues for improvement, and to suggest a training program for the GP
Externí odkaz:
https://doaj.org/article/a8665f57948b4fae8c1c6fdc14d63d93
Autor:
A. B. R. Jønsson, F. H. J. Martiny, M. K. Søndergaard, J. B. Brodersen, T. D. Due, M. H. Nielsen, C. Bakkedal, J. E. Bardram, K. Bissenbakker, I. Christensen, K. Doherty, P. Kjellberg, S. W. Mercer, S. Reventlow, M. P. Rozing, A. Møller
Publikováno v:
BMC Primary Care, Vol 24, Iss 1, Pp 1-15 (2023)
Abstract Background People with a severe mental illness (SMI) have shorter life expectancy and poorer quality of life compared to the general population. Most years lost are due to cardiovascular disease, respiratory disease, and various types of can
Externí odkaz:
https://doaj.org/article/43a52e8d94a1476d8926ed5f26574e50
Autor:
M. P. Rozing, A. Jønsson, R. Køster-Rasmussen, T. D. Due, J. Brodersen, K. H. Bissenbakker, V. Siersma, S. W. Mercer, A. D. Guassora, J. Kjellberg, P. K. Kjellberg, M. H. Nielsen, I. Christensen, J. E. Bardram, F. Martiny, A. Møller, S. Reventlow, on behalf of the SOFIA Study Group
Publikováno v:
Pilot and Feasibility Studies, Vol 7, Iss 1, Pp 1-13 (2021)
Abstract Background People with severe mental illness (SMI) have an increased risk of premature mortality, predominantly due to somatic health conditions. Evidence indicates that primary and tertiary prevention and improved treatment of somatic condi
Externí odkaz:
https://doaj.org/article/0f585d6cfa624524aee6381fe881b6c8
Multiclass learnability is known to exhibit a properness barrier: there are learnable classes which cannot be learned by any proper learner. Binary classification faces no such barrier for learnability, but a similar one for optimal learning, which c
Externí odkaz:
http://arxiv.org/abs/2410.22749
Autor:
Kiefer, Sven, Bach-Møller, Nanna, Samra, Dominic, Lewis, David A., Schneider, Aaron D., Amadio, Flavia, Lecoq-Molinos, Helena, Carone, Ludmila, Decin, Leen, Jørgensen, Uffe G., Helling, Christiane
Warm Saturn type exoplanets orbiting M-dwarfs are particularly suitable for in-depth cloud characterisation through transmission spectroscopy due to their favourable stellar to planetary radius contrast. However, modelling cloud formation consistentl
Externí odkaz:
http://arxiv.org/abs/2410.17716
Autor:
Legrand, Nicolas, Weber, Lilian, Waade, Peter Thestrup, Daugaard, Anna Hedvig Møller, Khodadadi, Mojtaba, Mikuš, Nace, Mathys, Chris
Bayesian models of cognition have gained considerable traction in computational neuroscience and psychiatry. Their scopes are now expected to expand rapidly to artificial intelligence, providing general inference frameworks to support embodied, adapt
Externí odkaz:
http://arxiv.org/abs/2410.09206
In the context of Industry 4.0, the manufacturing sector is increasingly facing the challenge of data usability, which is becoming a widespread phenomenon and a new contemporary concern. In response, Data Governance (DG) emerges as a viable avenue to
Externí odkaz:
http://arxiv.org/abs/2409.15137
Autor:
Nielsen, Rasmus Svejstrup, Gunawan, Oki, Todorov, Teodor, Møller, Clara Brendstrup, Hansen, Ole, Vesborg, Peter Christian Kjærgaard
Selenium is an elemental semiconductor with a wide bandgap suitable for a range of optoelectronic and solar energy conversion technologies. However, developing such applications requires an in-depth understanding of the fundamental material propertie
Externí odkaz:
http://arxiv.org/abs/2409.12804
Room equalisation aims to increase the quality of loudspeaker reproduction in reverberant environments, compensating for colouration caused by imperfect room reflections and frequency dependant loudspeaker directivity. A common technique in the field
Externí odkaz:
http://arxiv.org/abs/2409.10131
Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue
Autor:
Ivey, Jonathan, Kumar, Shivani, Liu, Jiayu, Shen, Hua, Rakshit, Sushrita, Raju, Rohan, Zhang, Haotian, Ananthasubramaniam, Aparna, Kim, Junghwan, Yi, Bowen, Wright, Dustin, Israeli, Abraham, Møller, Anders Giovanni, Zhang, Lechen, Jurgens, David
Studying and building datasets for dialogue tasks is both expensive and time-consuming due to the need to recruit, train, and collect data from study participants. In response, much recent work has sought to use large language models (LLMs) to simula
Externí odkaz:
http://arxiv.org/abs/2409.08330