Zobrazeno 1 - 10
of 245
pro vyhledávání: '"Mogens H. Jensen"'
Autor:
Christian Michelsen, Christoffer C. Jørgensen, Mathias Heltberg, Mogens H. Jensen, Alessandra Lucchetti, Pelle B. Petersen, Troels Petersen, Henrik Kehlet, The Center for Fast-track Hip Knee Replacement Collaborative group, Frank Madsen, Torben B. Hansen, Kirill Gromov, Thomas Jakobsen, Claus Varnum, Soren Overgaard, Mikkel Rathsach, Lars Hansen
Publikováno v:
BMC Anesthesiology, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Machine-learning models may improve prediction of length of stay (LOS) and morbidity after surgery. However, few studies include fast-track programs, and most rely on administrative coding with limited follow-up and information on
Externí odkaz:
https://doaj.org/article/1864298286a649cea4f53a18bbca4ba8
Autor:
Mathias L. Heltberg, Christian Michelsen, Emil S. Martiny, Lasse Engbo Christensen, Mogens H. Jensen, Tariq Halasa, Troels C. Petersen
Publikováno v:
Royal Society Open Science, Vol 9, Iss 9 (2022)
The modelling of pandemics has become a critical aspect in modern society. Even though artificial intelligence can help the forecast, the implementation of ordinary differential equations which estimate the time development in the number of susceptib
Externí odkaz:
https://doaj.org/article/af86e2ae74004f25a5bb33ca8b870b48
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 10 (2022)
The transcription factor NF-κB plays a vital role in the control of the immune system, and following stimulation with TNF-α its nuclear concentration shows oscillatory behaviour. How environmental factors, in particular temperature, can control the
Externí odkaz:
https://doaj.org/article/434e5909814b4cc598e01af5bf02c241
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
It is becoming clear that the dynamics of transcription factors may be important for gene regulation. Here, the authors study the implications of oscillatory and chaotic dynamics of NF-κB and demonstrate that it allows a degree of control of gene ex
Externí odkaz:
https://doaj.org/article/bec13c5bbbb440a98ed977675cd73994
Publikováno v:
Physical Review Research, Vol 3, Iss 3, p 033041 (2021)
Neurons are traditionally grouped in two excitability classes, which correspond to two different responses to external inputs, called phase response curves (PRCs). In this paper we have considered a network of two neural populations with delayed coup
Externí odkaz:
https://doaj.org/article/54f794ec6de94b1a993995803897e6e7
Publikováno v:
Physical Review Research, Vol 2, Iss 4, p 043078 (2020)
Modern biological techniques such as Hi-C permit one to measure probabilities that different chromosomal regions are close in space. These probabilities can be visualized as matrices called contact maps. In this paper, we introduce a multifractal ana
Externí odkaz:
https://doaj.org/article/25ae3737d2894673a1b1fea94bd20599
Autor:
Lars Yde, Claus Hélix-Nielsen, Mogens H. Jensen, Chuyang Tang, Carl J. Johnson, Mathias F. Gruber
Publikováno v:
Membranes, Vol 2, Iss 4, Pp 764-782 (2012)
In forward osmosis (FO), an osmotic pressure gradient generated across a semi-permeable membrane is used to generate water transport from a dilute feed solution into a concentrated draw solution. This principle has shown great promise in the areas of
Externí odkaz:
https://doaj.org/article/7504975788934f8282b1b96c648d1920
Autor:
Mathias L. Heltberg, Christian Michelsen, Emil S. Martiny, Lasse Engbo Christensen, Mogens H. Jensen, Tariq Halasa, Troels C. Petersen
Publikováno v:
Heltberg, M S, Michelsen, C, Martiny, E S, Christensen, L E, Jensen, M H, Halasa, T & Petersen, T C 2022, ' Spatial heterogeneity affects predictions from early-curve fitting of pandemic outbreaks : a case study using population data from Denmark ', Royal Society Open Science, vol. 9, no. 9, 220018 . https://doi.org/10.1098/rsos.220018
Heltberg, M L, Michelsen, C, Martiny, E S, Christensen, L E, Jensen, M H, Halasa, T & Petersen, T C 2022, ' Spatial heterogeneity affects predictions from early-curve fitting of pandemic outbreaks : a case study using population data from Denmark ', Royal Society Open Science, vol. 9, no. 9, 220018 . https://doi.org/10.1098/rsos.220018
Heltberg, M L, Michelsen, C, Martiny, E S, Christensen, L E, Jensen, M H, Halasa, T & Petersen, T C 2022, ' Spatial heterogeneity affects predictions from early-curve fitting of pandemic outbreaks : a case study using population data from Denmark ', Royal Society Open Science, vol. 9, no. 9, 220018 . https://doi.org/10.1098/rsos.220018
The modelling of pandemics has become a critical aspect in modern society. Even though artificial intelligence can help the forecast, the implementation of ordinary differential equations which estimate the time development in the number of susceptib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ed42e3d3ccfff8151d48aee1ec1fc75
https://curis.ku.dk/portal/da/publications/spatial-heterogeneity-affects-predictions-from-earlycurve-fitting-of-pandemic-outbreaks(71045467-e799-4f1e-8641-80520998ea08).html
https://curis.ku.dk/portal/da/publications/spatial-heterogeneity-affects-predictions-from-earlycurve-fitting-of-pandemic-outbreaks(71045467-e799-4f1e-8641-80520998ea08).html
Autor:
Mathias S. Heltberg, Yuanxu Jiang, Yingying Fan, Zhibo Zhang, Malthe S. Nordentoft, Wei Lin, Long Qian, Qi Ouyang, Mogens H. Jensen, Ping Wei
Publikováno v:
Cell Systems. 14:382-391.e5
Publikováno v:
SSRN Electronic Journal.