Zobrazeno 1 - 10
of 27 052
pro vyhledávání: '"Sigmund A"'
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Cardiovascular disease is a major cause of mortality and morbidity worldwide, and primary prevention efforts are poorly developed in people at high cardiovascular risk. On this background, we performed the Hjerteløftet Study and
Externí odkaz:
https://doaj.org/article/f76db792fd3642428f5520d924177764
Autor:
Mathias Brekke Mandelid, Espen Søreide Dyngeland, Ståle Teslo, Øystein Lerum, Hege Eikeland Tjomsland, Eirik Sørnes Jenssen, Pernille Buschmann Eriksen, Tom Christian Wergeland, Marion Østenstad Sandal, Hege Stein, Hilde Schjerven, Rasmus Stokke, Knut Steinar Engelsen, Sigmund Alfred Andersen, Nikolaj Trautner, Geir Kåre Resaland
Publikováno v:
Frontiers in Education, Vol 9 (2024)
In 2018, the Centre for Physical Active Learning (SEFAL) designed a comprehensive one-year workplace-based continuous professional development (CPD) program for in-service teachers in Norway. The CPD program aimed to enhance the pedagogical feasibili
Externí odkaz:
https://doaj.org/article/b4e536112970434786b86ccfdbe40e1c
Autor:
Katja Borodulin, Sigmund Anderssen
Publikováno v:
Food & Nutrition Research, Vol 67, Pp 1-15 (2023)
The understanding of how physical activity and insufficient physical activity are associated with health outcomes has increased considerably over the past decades. Along with physical activity, the evidence on the associations between sedentary behav
Externí odkaz:
https://doaj.org/article/e766ff8bbf704f0b84a0f607d69e799d
Autor:
Paul Remy Jones, Tarja Rajalahti, Geir Kåre Resaland, Eivind Aadland, Jostein Steene-Johannessen, Sigmund Alfred Anderssen, Tone Frost Bathen, Trygve Andreassen, Olav Martin Kvalheim, Ulf Ekelund
Publikováno v:
International Journal of Behavioral Nutrition and Physical Activity, Vol 19, Iss 1, Pp 1-14 (2022)
Abstract Background Our understanding of the mechanisms through which physical activity might benefit lipoprotein metabolism is inadequate. Here we characterise the continuous associations between physical activity of different intensities, sedentary
Externí odkaz:
https://doaj.org/article/39e1fc6149ed46d79ec8e522ef90cdbc
Autor:
Ingeborg Barth Vedøy, Knut Ragnvald Skulberg, Sigmund Alfred Anderssen, Morten Wang Fagerland, Hege Eikeland Tjomsland, Miranda Thurston
Publikováno v:
International Journal of Behavioral Nutrition and Physical Activity, Vol 18, Iss 1, Pp 1-11 (2021)
Abstract Background Mental health among young people in many countries, including Norway, seems to be deteriorating. Physical activity (PA) has been positively associated with mental health. However, methodological issues related to study design and
Externí odkaz:
https://doaj.org/article/05f692f26c3240658ad693f2fda5a948
Autor:
Ida Berglund, MS, Elisabeth Kleivhaug Vesterbekkmo, MD, Kjetil Retterstøl, MD, PhD, Sigmund A. Anderssen, PhD, Maria A. Fiatarone Singh, MD, PhD, Jørn W. Helge, PhD, Stian Lydersen, PhD, Ulrik Wisløff, PhD, Dorthe Stensvold, PhD
Publikováno v:
Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 5, Iss 5, Pp 859-871 (2021)
Objective: To examine whether 5 years of high-intensity interval training (HIIT) increases high-density lipoprotein cholesterol (HDL-C) concentration more than moderate-intensity continuous training (MICT) and control (CON) in older men and women. Me
Externí odkaz:
https://doaj.org/article/da39998e53104eb591a1bb4392770f7b
Topology optimization has matured to become a powerful engineering design tool that is capable of designing extraordinary structures and materials taking into account various physical phenomena. Despite the method's great advancements in recent years
Externí odkaz:
http://arxiv.org/abs/2410.20375
Precise spatial manipulation of particles via optical forces is essential in many research areas, ranging from biophysics to atomic physics. Central to this effort is the challenge of designing optical systems that are optimized for specific applicat
Externí odkaz:
http://arxiv.org/abs/2410.20009
Publikováno v:
81st EAGE Conference and Exhibition, Jun 2019, Volume 2019, p.1 - 5
Processing marine seismic data is computationally demanding and consists of multiple time-consuming steps. Neural network based processing can, in theory, significantly reduce processing time and has the potential to change the way seismic processing
Externí odkaz:
http://arxiv.org/abs/2409.08603
Autor:
Sun, Jing, Slang, Sigmund, Elboth, Thomas, Greiner, Thomas Larsen, McDonald, Steven, Gelius, Leiv-J
Publikováno v:
Geophysics, 2020, vol. 85, no. 4, pp. WA13-WA26
For economic and efficiency reasons, blended acquisition of seismic data is becoming more and more commonplace. Seismic deblending methods are always computationally demanding and normally consist of multiple processing steps. Besides, the parameter
Externí odkaz:
http://arxiv.org/abs/2409.07930