Zobrazeno 1 - 10
of 984
pro vyhledávání: '"Tong Ma"'
Publikováno v:
Cleaner Materials, Vol 12, Iss , Pp 100238- (2024)
This study intends to investigate the influence of benzaldehyde and dioctyl phthalate (DOP) on the rheological properties and microstructure of direct coal liquefaction residue (DCLR) modified asphalt binder. The high and low temperature rheological
Externí odkaz:
https://doaj.org/article/13801ef186d54d28a6d35aac2e30d1fa
Autor:
Jiazhong Ji, Yue Hou, Zhaoyang Li, Ying Zhou, Huaming Xue, Tao Wen, Tao Yang, Long Xue, Yihui Tu, Tong Ma
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 18, Iss 1, Pp 1-8 (2023)
Abstract Background Physical activity (PA) is generally encouraged for the treatment of osteoporosis. However, epidemiological statistics on the level of physical activity required for bone health are scarce. The purpose of this research was to analy
Externí odkaz:
https://doaj.org/article/8dfcd4ea51894bfa87326df79471fef9
Autor:
Wenzheng Zhang, Xuefeng Lei, Yihui Tu, Tong Ma, Tao Wen, Tao Yang, Long Xue, Jiazhong Ji, Huaming Xue
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
Purpose: To investigate the potential causal relationship between coffee consumption and osteoarthritis (OA), and to disentangle whether body mass index (BMI) and Bone mineral density (BMD) mediate this relationship.Methods: We performed two-sample a
Externí odkaz:
https://doaj.org/article/600ae0dc265e417ca9f29a231651c176
Publikováno v:
iScience, Vol 27, Iss 1, Pp 108516- (2024)
Summary: Retinopathy of prematurity (ROP) is currently one of the leading causes of infant blindness worldwide. Recently significant progress has been made in deep learning-based computer-aided diagnostic methods. However, deep learning often require
Externí odkaz:
https://doaj.org/article/e23d4045559c4eef9a90a2b853c4c6f8
Autor:
Yanshan Zhang, Xiaojun Li, Yihe Zhang, Yancheng Ye, Yee-Min Jen, Xin Pan, Xiaowei Li, Tianyan Qin, Pengqing Li, Caixia Lv, Ying Qi, Xin Wang, Yuling Yang, Tong Ma
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Precision radiotherapy needs to manage organ movements to prevent critical organ injury. The purpose of this study is to examine the feasibility of motion control of the lung by suppressing respiratory motion. The non-invasive high frequency
Externí odkaz:
https://doaj.org/article/63290b316a17450e8145549332e9bc72
Publikováno v:
Journal of Orthopaedic Surgery, Vol 31 (2023)
Objectives We developed a new standardized procedure for lateral unicompartmental knee arthroplasty (UKA) to maximize the benefits and minimize the risks of surgery in patients with osteoarthritis (OA). Methods This retrospective study recruited pati
Externí odkaz:
https://doaj.org/article/43fdb3a180ee4b029d648c63e5f29bc7
Autor:
Juhong Pei, Haixia Chen, Tong Ma, Ying Zhang, Xiangfu Wang, Chenxu Li, Binglin Ye, Xingsheng Wang, Jirong Zhao, Xinman Dou
Publikováno v:
BMC Musculoskeletal Disorders, Vol 23, Iss 1, Pp 1-8 (2022)
Abstract Background Pain catastrophizing in preoperative total knee arthroplasty (TKA) patients is associated with several poorly characterised factors in the literature. This study investigated the current state and associated factors of preoperativ
Externí odkaz:
https://doaj.org/article/bc738c5a48dc449faeac1331fc2d1dd5
Autor:
Lingxiao Zhu, Qifang Shi, Yue Zeng, Tong Ma, Haomiao Li, Dilihumaer Kuerban, Sarita Hamal, Meng Li
Publikováno v:
Nursing Open, Vol 9, Iss 2, Pp 1028-1039 (2022)
Abstract Aim To assess the effects of health locus of control‐based education programme (HLCEP) on self‐management, health locus of control and glycated haemoglobin (HbA1c) among type 2 diabetes mellitus (T2DM). Design Quasi‐experimental study.
Externí odkaz:
https://doaj.org/article/4be7d3f21e9441ea8ff0f4f7efa0806b
Publikováno v:
Unconventional Resources, Vol 2, Iss , Pp 158-169 (2022)
The seas around China contain abundant non-diagenetic gas hydrate deposits. The traditional logging and evaluation techniques based on conventional oil and gas no longer satisfy the evaluation requirements of offshore gas hydrate layers, and it remai
Externí odkaz:
https://doaj.org/article/a6f8f22416064ceba615a05c3ec80534
Publikováno v:
IEEE Access, Vol 10, Pp 33440-33448 (2022)
Time series forecasting remains a central challenge problem in almost all scientific disciplines. We introduce a novel load forecasting method in which observed dynamics are modeled as a forced linear system using Dynamic Mode Decomposition (DMD) in
Externí odkaz:
https://doaj.org/article/f39dc0ff518a41cab747986d6799528e