Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hyunchul Yang"'
Publikováno v:
Clinics in Shoulder and Elbow, Vol 22, Iss 4, Pp 203-209 (2019)
Background Clinical outcomes and prognosis of large and massive rotator cuff tears are known to be unpredictable not only in degeneration of the rotator cuff, but also due to a high rate of retear. Methods Totally, 81 patients who had undergone arthr
Externí odkaz:
https://doaj.org/article/3e07263d74924b00bfe0ae5de96913db
Publikováno v:
Knee Surgery, Sports Traumatology, Arthroscopy. 31:1910-1918
Large retracted anterior L-shaped tear characterized by a retracted supraspinatus tendon to the glenoid level combined with a relatively preserved infraspinatus tendon is one of the challenging tear patterns in achieving complete repair to the anatom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b075931f85c710dff491747defdf8338
https://doi.org/10.1007/s00167-022-07112-1
https://doi.org/10.1007/s00167-022-07112-1
Autor:
Hyunchul Yang
Publikováno v:
Modern Studies in English Language & Literature. 63:91-110
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e76fad99ee2ebbcb030be169b91413e0
https://doi.org/10.17754/mesk.63.4.91
https://doi.org/10.17754/mesk.63.4.91
Publikováno v:
Clinics in Shoulder and Elbow
Clinics in Shoulder and Elbow, Vol 22, Iss 4, Pp 203-209 (2019)
Clinics in Shoulder and Elbow, Vol 22, Iss 4, Pp 203-209 (2019)
Background: Clinical outcomes and prognosis of large and massive rotator cuff tears are known to be unpredictable not only in degeneration of the rotator cuff, but also due to a high rate of retear.Methods: Totally, 81 patients who had undergone arth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b567a22a3955fb1f05b990f3f59185a5
https://pubmed.ncbi.nlm.nih.gov/33330220
https://pubmed.ncbi.nlm.nih.gov/33330220
Publikováno v:
IROS
We present an efficient anytime motion planner for mobile robots that considers both other dynamic obstacles and uncertainty caused by various sensors and low-level controllers. Our planning algorithm, which is an anytime extension of the Rapidly-exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::995436e87b4bce6e8ee3e7f8a330b5f3
https://doi.org/10.1109/iros.2016.7759703
https://doi.org/10.1109/iros.2016.7759703