TY - JOUR A1 - Zhao, De-Wei A1 - Yu, Mang A1 - Hu, Kai A1 - Wang, Wei A1 - Yang, Lei A1 - Wang, Ben-Jie A1 - Gao, Xiao-Hong A1 - Guo, Yong-Ming A1 - Xu, Yong-Qing A1 - Wei, Yu-Shan A1 - Tian, Si-Miao A1 - Yang, Fan A1 - Wang, Nan A1 - Huang, Shi-Bo A1 - Xie, Hui A1 - Wei, Xiao-Wei A1 - Jiang, Hai-Shen A1 - Zang, Yu-Qiang A1 - Ai, Jun A1 - Chen, Yuan-Liang A1 - Lei, Guang-Hua A1 - Li, Yu-Jin A1 - Tian, Geng A1 - Li, Zong-Sheng A1 - Cao, Yong A1 - Ma, Li T1 - Prevalence of Nontraumatic Osteonecrosis of the Femoral Head and its Associated Risk Factors in the Chinese Population: Results from a Nationally Representative Survey JF - Chinese Medical Journal N2 - Background: Nontraumatic osteonecrosis of the femoral head (NONFH) is a debilitating disease that represents a significant financial burden for both individuals and healthcare systems. Despite its significance, however, its prevalence in the Chinese general population remains unknown. This study aimed to investigate the prevalence of NONFH and its associated risk factors in the Chinese population. Methods: A nationally representative survey of 30,030 respondents was undertaken from June 2012 to August 2013. All participants underwent a questionnaire investigation, physical examination of hip, and bilateral hip joint X-ray and/or magnetic resonance imaging examination. Blood samples were taken after overnight fasting to test serum total cholesterol, triglyceride, and high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels. We then used multivariate logistic regression analysis to investigate the associations between various metabolic, demographic, and lifestyle-related variables and NONFH. Results: NONFH was diagnosed in 218 subjects (0.725%) and the estimated NONFH cases were 8.12 million among Chinese people aged 15 years and over. The prevalence of NONFH was significantly higher in males than in females (1.02% vs. 0.51%, \(\chi^2\) = 24.997, P < 0.001). Among NONFH patients, North residents were subjected to higher prevalence of NONFH than that of South residents (0.85% vs. 0.61%, \(\chi^2\) = 5.847, P = 0.016). Our multivariate regression analysis showed that high blood levels of triglycerides, total cholesterol, LDL-cholesterol, and non-HDL-cholesterol, male, urban residence, family history of osteonecrosis of the femoral head, heavy smoking, alcohol abuse and glucocorticoid intake, overweight, and obesity were all significantly associated with an increased risk of NONFH. Conclusions: Our findings highlight that NONFH is a significant public health challenge in China and underscore the need for policy measures on the national level. Furthermore, NONFH shares a number of risk factors with atherosclerosis. KW - nontraumatic osteonecrosis of the femoral head KW - risk factors KW - idiopathic osteonecrosis KW - early-stage osteonecrosis KW - implantation KW - bone KW - marrow KW - follow-up KW - intake KW - avascular necrosis KW - occupational-status KW - cigarette smoking KW - alcohol KW - prevalence Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-138482 VL - 128 IS - 21 ER - TY - JOUR A1 - Wang, Xiaoliang A1 - Liu, Xuan A1 - Xiao, Yun A1 - Mao, Yue A1 - Wang, Nan A1 - Wang, Wei A1 - Wu, Shufan A1 - Song, Xiaoyong A1 - Wang, Dengfeng A1 - Zhong, Xingwang A1 - Zhu, Zhu A1 - Schilling, Klaus A1 - Damaren, Christopher T1 - On-orbit verification of RL-based APC calibrations for micrometre level microwave ranging system JF - Mathematics N2 - Micrometre level ranging accuracy between satellites on-orbit relies on the high-precision calibration of the antenna phase center (APC), which is accomplished through properly designed calibration maneuvers batch estimation algorithms currently. However, the unmodeled perturbations of the space dynamic and sensor-induced uncertainty complicated the situation in reality; ranging accuracy especially deteriorated outside the antenna main-lobe when maneuvers performed. This paper proposes an on-orbit APC calibration method that uses a reinforcement learning (RL) process, aiming to provide the high accuracy ranging datum for onboard instruments with micrometre level. The RL process used here is an improved Temporal Difference advantage actor critic algorithm (TDAAC), which mainly focuses on two neural networks (NN) for critic and actor function. The output of the TDAAC algorithm will autonomously balance the APC calibration maneuvers amplitude and APC-observed sensitivity with an object of maximal APC estimation accuracy. The RL-based APC calibration method proposed here is fully tested in software and on-ground experiments, with an APC calibration accuracy of less than 2 mrad, and the on-orbit maneuver data from 11–12 April 2022, which achieved 1–1.5 mrad calibration accuracy after RL training. The proposed RL-based APC algorithm may extend to prove mass calibration scenes with actions feedback to attitude determination and control system (ADCS), showing flexibility of spacecraft payload applications in the future. KW - reinforcement learning KW - antenna phase center calibration KW - K band ranging (KBR) KW - micrometre level microwave ranging KW - MSC: 49M37 KW - MSC: 65K05 KW - MSC: 90C30 KW - MSC: 90C40 Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-303970 SN - 2227-7390 VL - 11 IS - 4 ER -