Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Bing‑Hao Li"'
Autor:
Peng Lin, Peng-Fei Yang, Shi Chen, You-You Shao, Lei Xu, Yan Wu, Wangsiyuan Teng, Xing-Zhi Zhou, Bing-Hao Li, Chen Luo, Lei-Ming Xu, Mi Huang, Tian-Ye Niu, Zhao-Ming Ye
Publikováno v:
Cancer Imaging, Vol 20, Iss 1, Pp 1-12 (2020)
Abstract Background The difficulty of assessment of neoadjuvant chemotherapeutic response preoperatively may hinder personalized-medicine strategies that depend on the results from pathological examination. Methods A total of 191 patients with high-g
Externí odkaz:
https://doaj.org/article/95b44ad707564f5cbe3b188ca48ecf4a
Autor:
Guo-Qi Li, Yi-Kai Wang, Hao Zhou, Lin-Guang Jin, Chun-Yu Wang, Mugahed Albahde, Yan Wu, Heng-Yuan Li, Wen-Kan Zhang, Bing-Hao Li, Zhao-Ming Ye
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 9 (2021)
Bone-related malignancies, such as osteosarcoma, Ewing’s sarcoma, multiple myeloma, and cancer bone metastases have similar histological context, but they are distinct in origin and biological behavior. We hypothesize that a distinct immune infiltr
Externí odkaz:
https://doaj.org/article/2c90c6137146420596fd68f8f294c460
Autor:
Lin, Peng, Yang, Peng-Fei, Chen, Shi, You-You Shao, Xu, Lei, Wu, Yan, Wangsiyuan Teng, Zhou, Xing-Zhi, Bing-Hao Li, Luo, Chen, Xu, Lei-Ming, Huang, Mi, Tian-Ye Niu, Ye, Zhao-Ming
Additional file 1: Table S1 Patient characteristics’ distribution in the training and validation datasets. Table S2: Interclass correlation coefficient (ICC) values of selected delta-radiomic features in the intra-observer and inter-observer r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42b125a53613db1f1524fbb2a74ea562
Publikováno v:
Solid State Phenomena. 281:65-70
The spherical silica particles were prepared by sol-gel method with TEOS as precursor, ethanol as solvent in the presence of ammonia. The effects of reaction temperature and the amount of ammonia and TEOS on the size and morphology of silica particle
Publikováno v:
Key Engineering Materials. 726:515-520
Hydration activity of a tailing is evaluated by the hydration rate obtained from the electrical resistivity measurement and compressive strength in a cementitious hydration system as a mineral admixture. A plain paste and the pastes with tailing or f
Autor:
Peng, Lin, Nong, Lin, Wangsiyuan, Teng, Sheng-Dong, Wang, Wei-Bo, Pan, Xin, Huang, Xiao-Bo, Yan, Meng, Liu, Heng-Yuan, Li, Bing-Hao, Li, Ling-Ling, Sun, Zhan, Wang, Xing-Zhi, Zhou, Zhao-Ming, Ye
Publikováno v:
Orthopaedic surgery. 10(2)
To review the clinical details and further treatments for recurrent spinal giant cell tumors (SGCT), and to analyze the risk factors of recurrence and shed new light on the treatment options and prognosis of recurrent SGCT.A retrospective analysis of
Autor:
Sheng‑Dong Wang, Zheng‑Liang Zhang, Bing‑Hao Li, Ting Zhu, Heng‑Yuan Li, Ling‑Ling Sun, Zhao‑Ming Ye, Ying‑Jun Li
Publikováno v:
Oncology Letters.
Rhabdomyosarcoma (RMS) is the most common type of soft-tissue sarcoma in children. Immunotherapy has been proposed as a treatment for this deadly tumor. In the present study, the cytotoxicity of ex vivo expanded γδ T cells on RMS cell lines was eva
Publikováno v:
Applied Mechanics and Materials. 577:334-337
In the complex heating systems, higher order, large inertia, large delay and uncertainty typically exist. This work introduces generalized predictive PID control algorithm to adjust the system. The purpose of the control algorithm is to achieve a ste
Publikováno v:
Applied Mechanics and Materials. 441:904-907
Indoor temperature model is one of the large time-delay controlled object, and the response performance of system get worse. In consideration of the Fuzzy PID controllers strong robustness, this article adopts a Fuzzy PID-Smith control method ,and th
Publikováno v:
Applied Mechanics and Materials. :181-184
The wheeled robot with non-integrity constraints is a typical nonlinear system, in order to achieve the ideal path tracing, presented a theory based on fuzzy neural network control. Centralized compensation system based on neural network uncertainty