Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yingting Yang"'
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background/purpose Traditional restorative composites require time-consuming incremental layering techniques which poses challenges in pediatric dentistry. SonicFill bulk resin allows for thicker layers to be placed efficiently, reducing tre
Externí odkaz:
https://doaj.org/article/69cc47e1f6444d2991e3134da0f0cb06
Autor:
Wang Fu, Xiaoming Yu, Minghui Lai, Yuanli Li, Yingting Yang, Yong Qin, Min Yu, Feng Wang, Cong Wang
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background The incidence of hemiparetic limb dysfunction reaches 85% in stroke patients, emerging as a critical factor influencing their daily lives. However, the effectiveness of current rehabilitation treatments is considerably limited, pa
Externí odkaz:
https://doaj.org/article/2acb6d53db384fc69839eb275893b689
Autor:
Wei Li, Yue Yin, Huaijuan Zhou, Yingwei Fan, Yingting Yang, Qiqi Gao, Pei Li, Ge Gao, Jinhua Li
Publikováno v:
Cyborg and Bionic Systems, Vol 5 (2024)
In the realm of precise medicine, the advancement of manufacturing technologies is vital for enhancing the capabilities of medical devices such as nano/microrobots, wearable/implantable biosensors, and organ-on-chip systems, which serve to accurately
Externí odkaz:
https://doaj.org/article/1669631deef34d0ca5ab7363d1180011
Publikováno v:
Applied Engineering in Agriculture. 38:421-434
HighlightsA paddy field segmentation network model, SA-DeepLabv3+, for hilly areas in southern China is proposed.SA-DeepLabv3+ uses attention mechanism and adaptive spatial feature fusion algorithm.The deep model was trained end-to-end using a few an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acbdf2a65c20d56daae20c7209718f1b
https://doi.org/10.13031/aea.14754
https://doi.org/10.13031/aea.14754
A framework for the assessment of the spatial and temporal patterns of threatened coastal delphinids
Autor:
Tao Zhang, Lianjie Li, Yuelin Li, Jingzhen Wang, Wenhua Liu, Feng Yang, Tangtian He, Yingting Yang, Ping Li, Bo Liang, Derun Lin, Yao Lin
Publikováno v:
Scientific Reports
The massively accelerated biodiversity loss rate in the Anthropocene calls for an efficient and effective way to identify the spatial and temporal dynamics of endangered species. To this end, we developed a useful identification framework based on a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89df2d3067bd975c44cb767549d985ca
https://doi.org/10.1038/srep19883
https://doi.org/10.1038/srep19883