Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Liang-yu Ma"'
Autor:
Liang-Yu Ma, Eva Maria Wölfel, Kilian Elias Stockhausen, Herbert Mushumba, Birgit Wulff, Klaus Püschel, Michael Amling, Björn Busse, Katharina Jähn
Publikováno v:
Bone Reports, Vol 13, Iss , Pp 100485- (2020)
Externí odkaz:
https://doaj.org/article/c640b9dfc2254a3f8e73e98d00cb3a24
Autor:
Eva Maria Wölfel, Katharina Jähn, Anna Kornelia Siebels, Liang-Yu Ma, Grazyna E. Sroga, Annika Vom Scheidt, Felix Nikolai Schmidt, Birgit Wulff, Herbert Mushumba, Klaus Püschel, Michael Amling, Deepak Vashishth, Eric Schaible, Petar Milovanovic, Elizabeth Zimmermann, Björn Busse
Publikováno v:
Bone Reports, Vol 13, Iss , Pp 100694- (2020)
Externí odkaz:
https://doaj.org/article/b88b75a4d95f4e38a736c4bedb9dc3f6
Publikováno v:
Stem Cell Research & Therapy, Vol 9, Iss 1, Pp 1-11 (2018)
Abstract Background Platelet-rich plasma (PRP) is becoming a promising strategy to treat early intervertebral disc degeneration (IDD) in clinics. Pure PRP without leukocytes (P-PRP) may decrease the catabolic and inflammatory changes in the early deg
Externí odkaz:
https://doaj.org/article/74294a47e9e34d19916006737197e611
Publikováno v:
Stem Cells International, Vol 2018 (2018)
Background. Platelet-rich plasma (PRP) is a promising strategy for intervertebral disc degeneration. However, the potential harmful effects of leukocytes in PRP on nucleus pulposus-derived mesenchymal stem cells (NPMSCs) have seldom been studied. Thi
Externí odkaz:
https://doaj.org/article/c5d629aa024f4773aca6e881f139cb98
Autor:
Katharina Jähn, Liang-Yu Ma, Michael Amling, Birgit Wulff, Björn Busse, Kilian Elias Stockhausen, Klaus Püschel, Eva Maria Wölfel, Herbert Mushumba
Publikováno v:
Bone Reports, Vol 13, Iss, Pp 100485-(2020)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00a05e4488c8e1b3984294706642c5b7
http://www.sciencedirect.com/science/article/pii/S235218722030245X
http://www.sciencedirect.com/science/article/pii/S235218722030245X
Publikováno v:
steel research international. 87:1366-1375
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf8733a66e14cb106092d7f897491ee9
https://doi.org/10.1002/srin.201500411
https://doi.org/10.1002/srin.201500411
Autor:
Eric Schaible, Annika vom Scheidt, Björn Busse, Elizabeth A. Zimmermann, Petar Milovanovic, Deepak Vashishth, Katharina Jähn, Anna Kornelia Siebels, Grażyna E. Sroga, Eva Maria Wölfel, Felix N. Schmidt, Liang-Yu Ma, Herbert Mushumba, Klaus Püschel, Michael Amling, Birgit Wulff
Publikováno v:
Bone Reports, Vol 13, Iss, Pp 100694-(2020)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af963435cc4bfc8b03a6ddd15c568487
https://doi.org/10.1016/j.bonr.2020.100694
https://doi.org/10.1016/j.bonr.2020.100694
Publikováno v:
Stem Cells International, Vol 2018 (2018)
Stem Cells International
Stem Cells International
Background. Platelet-rich plasma (PRP) is a promising strategy for intervertebral disc degeneration. However, the potential harmful effects of leukocytes in PRP on nucleus pulposus-derived mesenchymal stem cells (NPMSCs) have seldom been studied. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81f8f5b44cea6abf51fb188e0ee1b2bc
Creep-Fatigue Interaction Life Prediction for P91 Steel Based on Improved Elman Neural Network Model
Publikováno v:
Advanced Materials Research. :674-677
A creep-fatigue life prediction model for P91 steel using Improved Elman Neural Network is founded based on the creep-fatigue experiment datas in this paper. The load keeping time is selected as the model input and the creep life or fatigue life as t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d41f3b966de02df566ce223354a8d58
https://doi.org/10.4028/www.scientific.net/amr.535-537.674
https://doi.org/10.4028/www.scientific.net/amr.535-537.674
Publikováno v:
Advanced Materials Research. :1015-1019
In order to obtain accurate load forecasting of coal-fired unit, a new algorithm based on Support Vector Machine (SVM) method is presented. This algorithm establishes a model to reflect the complicated relation between the load of coal-fired unit and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f0ada5a1941c319bc9d5039290ad171
https://doi.org/10.4028/www.scientific.net/amr.466-467.1015
https://doi.org/10.4028/www.scientific.net/amr.466-467.1015