Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Tingjun Yang"'
Autor:
Yunping Fan, Tingjun Yang, Yuhan Liu, Haibin Gan, Xiaohua Li, Yanrong Luo, Xuping Yang, Qianyun Pang
Publikováno v:
Perioperative Medicine, Vol 13, Iss 1, Pp 1-9 (2024)
Abstract Objective To retrospectively analyze the risk factors for postoperative delirium (POD) after orthopedic surgery in elderly patients and establish an individualized nomogram to predict the risk of POD. Methods The data of 1011 patients who un
Externí odkaz:
https://doaj.org/article/e671fbc2282743e4b32b49409d2afaca
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
BackgroundThe aim of this study was to evaluate the ability of point-of-care Doppler ultrasound measurements of carotid corrected flow time and its changes induced by volume expansion to predict fluid responsiveness in patients undergoing robot-assis
Externí odkaz:
https://doaj.org/article/fb3995456f074baca9fdb8754b1288c4
Autor:
Fusen Huang, Jingjie Wang, Ke Wei, Qiuju Xiong, Wenjian Wang, Yi Xu, Jia Zhuo, Qiuling Xia, Tingjun Yang
Publikováno v:
Clinical and Experimental Obstetrics & Gynecology, Vol 51, Iss 2, p 30 (2024)
Background: Placenta accreta spectrum (PAS) can easily lead to life-threatening hemorrhage. However, the association between placental thickness (PT) and massive bleeding remains unclear. Thus, this study investigated the association between PT and m
Externí odkaz:
https://doaj.org/article/9fb127fba76b492aaf029c7271b1918f
Autor:
Michael Wang, Tingjun Yang, Maria Acosta Flechas, Philip Harris, Benjamin Hawks, Burt Holzman, Kyle Knoepfel, Jeffrey Krupa, Kevin Pedro, Nhan Tran
Publikováno v:
Frontiers in Big Data, Vol 3 (2021)
Machine learning algorithms are becoming increasingly prevalent and performant in the reconstruction of events in accelerator-based neutrino experiments. These sophisticated algorithms can be computationally expensive. At the same time, the data volu
Externí odkaz:
https://doaj.org/article/d3f7984ea362452e9070d98c67655b65
Autor:
Tingjun Yang
Publikováno v:
Instruments, Vol 5, Iss 1, p 2 (2020)
The liquid argon time projection chamber provides high-resolution event images and excellent calorimetric resolution for studying neutrino physics and searching for beyond-standard-model physics. In this article, we review the main physics processes
Externí odkaz:
https://doaj.org/article/4761cd4180ac40ecb22f46abfbbc47af
Publikováno v:
A deep-learning based charged-current electron neutrino interaction identification in the ArgoNeuT experiment.
Autor:
Jiao Jiao, Tao Yu, Jiachen Wang, Pengfei Li, Xuanyu Liu, Wenzheng Nie, Fan Yang, Tingjun Yang, Feierdaiweisi Aihemaiti, Qian Zhang
Publikováno v:
Chemistry – A European Journal. 27:4817-4838
Continuous-flow multi-step synthesis takes the advantages of microchannel flow chemistry and may transform the conventional multi-step organic synthesis by using integrated synthetic systems. To realize the goal, however, innovative chemical methods
Parallel Flash Talk at the "XIX International Workshop on Neutrino Telescopes" on line - 18-26 February, 2021
On behalf of the ArgoNeuT Collaboration Fermilab-Slides-21-007-ND-SCD-V
On behalf of the ArgoNeuT Collaboration Fermilab-Slides-21-007-ND-SCD-V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c728f9578c87b94fdb0b561e912f2296
Autor:
Nhan Tran, Kevin Pedro, Jeffrey Krupa, Burt Holzman, K. Knoepfel, Benjamin Hawks, Philip Harris, Maria Acosta Flechas, Michael Wang, Tingjun Yang
Publikováno v:
Frontiers in Big Data
Frontiers in Big Data, Vol 3 (2021)
DOE / OSTI
Frontiers in Big Data, Vol 3 (2021)
DOE / OSTI
Machine learning algorithms are becoming increasingly prevalent and performant in the reconstruction of events in accelerator-based neutrino experiments. These sophisticated algorithms can be computationally expensive. At the same time, the data volu