Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Lixia DENG"'
Autor:
Hongyu Zhang, Guoliang Li, Dapeng Wan, Ziyue Wang, Jinshun Dong, Shoujun Lin, Lixia Deng, Haiying Liu
Publikováno v:
Biomimetic Intelligence and Robotics, Vol 4, Iss 4, Pp 100190- (2024)
In the field of security, intelligent surveillance tasks often involve a large number of dense and small objects, with severe occlusion between them, making detection particularly challenging. To address this significant challenge, Dense and Small YO
Externí odkaz:
https://doaj.org/article/315cc746a5f742de92065c99fe5a1484
Publikováno v:
mSystems, Vol 9, Iss 9 (2024)
ABSTRACT Nitrogen (N)-fixing organisms, also known as diazotrophs, play a crucial role in N-limited ecosystems by controlling the production of bioavailable N. The carbon-dominated cold-seep ecosystems are inherently N-limited, making them hotspots o
Externí odkaz:
https://doaj.org/article/4520e9c42dee45a7abc44c05a0c08437
Publikováno v:
IEEE Access, Vol 12, Pp 75865-75872 (2024)
Modern unmanned aerial vehicle (UAV) reconnaissance is widely used. UAV equipped with FPV camera can realize the reconnaissance of dense small objects with the help of object detection technology. However, it is difficult to detect people or vehicle
Externí odkaz:
https://doaj.org/article/f3d8c682f3114cc988a72bb08fe16070
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/eaceb565449a442d9d7e0e33191a8531
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
ObjectivesTo investigate the etiology, clinical manifestations, imaging features, and treatment of patients with infratentorial superficial siderosis (iSS), enhance clinicians' comprehension of this rare disease, and conduct oral deferiprone interven
Externí odkaz:
https://doaj.org/article/29f75b2ba0944f9d81885e80b286056b
Autor:
Lixia Deng, Lingyun Bi, Hongquan Li, Haonan Chen, Xuehu Duan, Haitong Lou, Hongyu Zhang, Jingxue Bi, Haiying Liu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract YOLOv5 is one of the most popular object detection algorithms, which is divided into multiple series according to the control of network depth and width. To realize the deployment of mobile devices or embedded devices, the paper proposes a l
Externí odkaz:
https://doaj.org/article/cbd0869c195645a086870bee60c75473
High biomass turnover rates of endosymbiotic nitrogen‐fixing cyanobacteria in the western Bering Sea
Autor:
Shunyan Cheung, Kailin Liu, Kendra A. Turk‐Kubo, Jun Nishioka, Koji Suzuki, Michael R. Landry, Jonathan P. Zehr, Szeki Leung, Lixia Deng, Hongbin Liu
Publikováno v:
Limnology and Oceanography Letters, Vol 7, Iss 6, Pp 501-509 (2022)
Abstract Recent studies have described active nitrogen fixation in high‐latitude waters, but the ecological controls on the occurrence or activity of nitrogen‐fixing organisms (diazotrophs) in such systems remain unknown. Turnover rates and top
Externí odkaz:
https://doaj.org/article/307dbfc5b7ac49498f284702318d1ba5
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract YOLOv3 is a popular and effective object detection algorithm. However, YOLOv3 has a complex network, and floating point operations (FLOPs) and parameter sizes are large. Based on this, the paper designs a new YOLOv3 network and proposes a li
Externí odkaz:
https://doaj.org/article/d285a73e30044cb19599aa7365593f22
Autor:
Ruitong Wang, Liyuan Tao, Na Han, Jihong Liu, Chuanxiang Yuan, Lixia Deng, Chunhua Han, Fenglan Sun, Liqun Chi, Min Liu, Jue Liu
Publikováno v:
BMC Pregnancy and Childbirth, Vol 21, Iss 1, Pp 1-14 (2021)
Abstract Background Seasonal influenza can circulate in parallel with coronavirus disease (COVID-19) in winter. In the context of COVID-19 pandemic, the risk of co-infection and the burden it poses on healthcare system calls for timely influenza vacc
Externí odkaz:
https://doaj.org/article/2a777d66f59348839e1554a8825c28f5
Autor:
Liyuan Tao, Ruitong Wang, Na Han, Jihong Liu, Chuanxiang Yuan, Lixia Deng, Chunhua Han, Fenglan Sun, Min Liu, Jue Liu
Publikováno v:
Human Vaccines & Immunotherapeutics, Vol 17, Iss 8, Pp 2378-2388 (2021)
Background: Vaccine hesitancy has been recognized as an urgent public health issue. We aimed to explore the acceptance of a COVID-19 vaccine and related factors among pregnant women, a vulnerable population for vaccine-preventable diseases. Methods:
Externí odkaz:
https://doaj.org/article/5091fc1bcf8c442aa41fa30db882270c