作者：
Ampadu O, Jackson;Yong you;Yi Li;Qing Jun Gui;Kai Yin
作者机构：
Medical school, University of South China, Hengyang 421001,China;Medical virtual simulation experiment teaching center, University of South China,Hengyang 421001, Ch
期刊：
JOURNAL OF CLINICAL ONCOLOGY,2020年38(15) ISSN：0732-183X
作者机构：
Cent South Univ, Xiangya Sch Med, Affiliated Canc Hosp, Dept Thorac Med Oncol,Hunan Canc Hosp, Changsha, Peoples R China.;First Peoples Hosp Changde City, Dept Oncol, Changde, Peoples R China.;First Peoples Hosp Yueyang, Dept Oncol, Yueyang, Peoples R China.;Univ South China, Affiliated Hosp 2, Dept Oncol, Hengyang, Peoples R China.;Hunan Coll Tradit Chinese Med, Affiliated Hosp 1, Dept Oncol, Zhuzhou, Peoples R China.
会议名称：
Annual Meeting of the American-Society-of-Clinical-Oncology (ASCO)
会议时间：
MAY 29-31, 2020
会议地点：
ELECTR NETWORK
摘要：
The Journal of Geriatric Physical Therapy (JGPT) is a peer–reviewed journal and leading source of clinically applicable evidence for achieving optimal health, wellness, mobility, and physical function for aging adults, across the continuum of health care settings. This is the only journal dedicated to physical therapists and physical therapy assistants who work with older adults in roles including advocacy, direct patient care, consultation, supervision, education, and research. The Journal"s mission is to provide quality evidence from the clinical research arena to enhance best practice and optimal outcomes for aging individuals needing rehabilitation and wellness care.JGPT focuses on key areas of interest and professional development for physical therapy professionals working to improve quality of life for older adults, by promoting healthy lifestyle, disease prevention, and return to function through physical therapy intervention. The Journal provides information primarily to physical therapists, physical therapist assistants, physical therapy students, as well as to other health professionals involved in the care of aging adults in a variety of practice and community settings. The JGPT will be of interest to professional colleagues from fields including nursing, medicine, occupational therapy, speech and language pathology, geriatric care management, social work, and orthotics and prosthetics. The JGPT can inform care in settings including community organizations and home health care agencies, cardiovascular/cardiopulmonary centers, orthopedic centers, comprehensive and subacute rehabilitation centers, assisted living facilities, continuing care retirement communities, hospital– and community–based outpatient facilities/clinics, ambulatory care centers, health and wellness facilities, sport and human performance centers, and academic institutions.
作者机构：
[Chen Hai-ting; Wang Zhi-yuan] Univ South China, Sch Architecture, Hengyang 421001, Hunan, Peoples R China.;[Wang Zhi-yuan] Cent South Univ, Sch Architecture & Art, Changsha 41007, Hunan, Peoples R China.;[Ou Yang-mei] Hunan Inst Traff Engn, Hengyang 42100, Hunan, Peoples R China.
会议名称：
4th International Workshop on Renewable Energy and Development (IWRED)
会议时间：
APR 24-26, 2020
会议地点：
ELECTR NETWORK
会议主办单位：
[Wang Zhi-yuan;Chen Hai-ting] Univ South China, Sch Architecture, Hengyang 421001, Hunan, Peoples R China.^[Wang Zhi-yuan] Cent South Univ, Sch Architecture & Art, Changsha 41007, Hunan, Peoples R China.^[Ou Yang-mei] Hunan Inst Traff Engn, Hengyang 42100, Hunan, Peoples R China.
会议论文集名称：
IOP Conference Series-Earth and Environmental Science
摘要：
Regional urban connection is mainly reflected in the connection between transportation and economy.Using accessibility and improved gravity model, this paper studies the traffic and economic relations and spatial pattern analysis among districts and counties in Hengyang based on the shortest travel time data and socio-economic data of 12 districts and counties in Hengyang, China.The results show that: firstly, in terms of traffic accessibility, there are 8 districts and counties in Hengyang that have higher accessibility than the average level of the city, and 4 districts and counties that have lower accessibility than the average level. Secondly, the accessibility of districts and counties in Hengyang generally presents an irregular circular distribution pattern, forming a core edge distribution feature with five districts in Hengyang as the core and gradually decreasing outward enclosure.Thirdly, from the perspective of economic connection, the 12 districts and counties in Hengyang are divided into five levels. The first level is the connection between Shigu District and Yanfeng District in the central city. The second level connection intensity is between Shigu District and Zhengxiang District in the central city and between Zhengxiang District and Hengyang County. The intensity of the three-level connection is the connection between the counties near the central urban area and the districts in the central urban area, as well as the connection between the counties near the central urban area and the neighboring counties. The fourth level connection refers to the connection between districts and counties far away from the central urban area and counties near the central urban area. The fifth level connection refers to the connection between districts and counties far away from the central urban area. Last but not least, the economic connection of Hengyang District and county forms the center-peripheral radiation pattern which diffuses from the area with the core of Shigu District, steamed Xiang District, Yanfeng District and Zhuhui District as the core, which presents the pattern of "one core and two centers" in space.
期刊：
ICRSA '20: Proceedings of the 2020 3rd International Conference on Robot Systems and Applications,2020年:Pages 21–24
作者机构：
[Liang Hong; Li Lihua; He Xiaofeng; Chen Junxi; Chen Lingna] University of South China, Hengyang, Hunan, China;[Zhou Yangfan] Hunan financial & industrial vocational-technical college, Hengyang Hunan, China
会议名称：
978-1-4503-8764-4
会议时间：
June, 2020
会议地点：
Chengdu China
会议论文集名称：
ICRSA 2020: Proceedings of the 2020 3rd International Conference on Robot Systems and Applications
摘要：
We propose a monocular SLAM based on semi-direct method, which combines the advantages of direct method and indirect (feature-based) method. On the basis of extracting the salient feature points of the image, the pose of the camera is estimated by the direct method. The key-frame descriptors are represented by image description model based on learning. The key-frame descriptors are combined with the effective retrieval strategy to get rough closed-loop detection, and the descriptors are combined with direct matching to verify closed-loop candidate. Compared with popular open source algorithms, our method is tested on the publicly available datasets. Compared with state-of-the-art direct-based method and indirect-based method slam, our experimental results improve the overall performance of the system.
作者机构：
Sun Yat Sen Univ, Guangzhou, Peoples R China.;Sun Yat Sen Univ, Affiliated Hosp 3, Guangzhou, Peoples R China.;Chinese Univ Hong Kong, Sch Life Sci, Hong Kong, Peoples R China.;Foshan First Municipal Peoples Hosp, Foshan, Peoples R China.;Univ South China, Affiliated Hosp 1, Hengyang, Peoples R China.
会议名称：
Annual Meeting of the American-Society-of-Clinical-Oncology (ASCO)
