Establishing a common data base of ice experiments and using machine learning to understand and predict ice behavior

Autor: Kellner, Leon, Stender, Merten, Herrnring, Hauke, Polach, Rüdiger U. Franz von Bock und, Ehlers, Sören, Hoffmann, Norbert, Høyland, Knut V.

Machine learning and statistical tools are applied to identify how parameters, such as temperature, influence peak stress and ice behavior. To enable the analysis, a common and small scale experimental data base is established.

Externí odkaz: http://arxiv.org/abs/1812.03994

The patient experience of a nurse-written ICU-diary intervention: A cross sectional survey.

Autor: Högvall LM; Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway; Department of Nursing Science, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway. Electronic address: lisa.hogvall@ous-hf.no., Herling SF; Faculty of Health & Medical Sciences, University of Copenhagen, Denmark; Department of Neuroanesthesiology, The Neuroscience Centre, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark., Egerod I; Faculty of Health & Medical Sciences, University of Copenhagen, Denmark; Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Denmark., Petosic A; Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway; Department of Postoperative and Intensive Care Nursing, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway; The Norwegian Intensive Care Registry, Haukeland University Hospital, Bergen, Oslo, Norway., Danielsen MER; Medicine Intensive Care Unit, Department of Acute Medicine, Division of Medicine, Oslo University Hospital, Oslo, Norway., Rüdiger U; Intensive Care Unit, Drammen Hospital, Vestre Viken Hospital Trust, Drammen, Norway., Rustøen T; Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway; Department of Nursing Science, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway., Berntzen H; Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway; Department of Postoperative and Intensive Care Nursing, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway.

Publikováno v: Intensive & critical care nursing [Intensive Crit Care Nurs] 2024 Oct 03; Vol. 86, pp. 103846. Date of Electronic Publication: 2024 Oct 03.

Establishing a common database of ice experiments and using machine learning to understand and predict ice behavior

Autor: Kellner, Leon, Stender, Merten, von Bock und Polach, Rüdiger U. Franz, Herrnring, Hauke, Ehlers, Sören, Hoffmann, Norbert, Høyland, Knut V.

Publikováno v: In Cold Regions Science and Technology June 2019 162:56-73

Crack detection via strain measurements in fatigue testing.

Autor: Al‐Karawi, Hassan (AUTHOR) hassan.alkarawi@chalmers.se, Bock und Polach, Rüdiger U. Franz¹ (AUTHOR) franz.vonbock@tuhh.de, Al‐Emrani, Mohammad² (AUTHOR)

Publikováno v: Strain. Aug2021, Vol. 57 Issue 4, p1-12. 12p.

Graphene-protected iron layer on Ni(111)

Autor: Dedkov, Yu. S., Fonin, M., Rüdiger, U., Laubschat, C.

Here we report the photoemission studies of intercalation process of Fe underneath graphene layer on Ni(111). The process of intercalation was monitored via XPS of corresponding core levels and UPS of the graphene-derived $\pi$ states in the valence

Externí odkaz: http://arxiv.org/abs/0804.3942