Zobrazeno 1 - 10
of 5 677
pro vyhledávání: '"Qiang, Gao"'
Autor:
Qing-Qiang Gao, Jian-Huai Chen, Jia-Ming Lu, Bin Wang, You-Feng Han, Song-Zhan Gao, Jie Yang, Yu-Tian Dai
Publikováno v:
Asian Journal of Andrology, Vol 26, Iss 5, Pp 510-516 (2024)
Ejaculation is regulated by the central nervous system. However, the central pathophysiology of primary intravaginal anejaculation (PIAJ) is unclear. The present study aimed to examine the changes in regional brain activity and functional connectivit
Externí odkaz:
https://doaj.org/article/169172e1ee514a76b5f6a04d745b21dc
Autor:
Zhongyao Chen, Qiang Gao, Yukui Shang, Behzad Nasiri Ahmadabadi, Yawei Hu, Wei Zhang, Peng Liu
Publikováno v:
hLife, Vol 2, Iss 9, Pp 471-487 (2024)
Diffuse midline glioma (DMG), H3K27-altered, is lethal pediatric-type, high-grade, localized to the midline region of the central nervous system. Effective treatment guidelines are absent, and clinical trials are preferred for primary or recurrent DM
Externí odkaz:
https://doaj.org/article/ec2b8c3e14d849329f83bfc493b44ce0
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract To address the problem of dense crowd face detection in complex environments, this paper proposes a face detection model named Deep and Compact Face Detection (DCFD), which adopts an improved lightweight EfficientNetV2 network to replace the
Externí odkaz:
https://doaj.org/article/db16084cf05e4d708789ee175af8cf75
Autor:
Yang Zheng, Guangyu Guo, Yanrong Lv, Qiang Gao, Dandan Zhou, Long Zhang, Guangxian Tu, Shaoping Weng, Chaozheng Li, Jianguo He, Muhua Wang
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-7 (2024)
Abstract The giant river prawn (Macrobrachium rosenbergii) is one of the most widely cultured crustacean species. In recent years, its aquaculture has faced challenges, including the degradation of germplasm resources and the emergence of viral disea
Externí odkaz:
https://doaj.org/article/b63980f5992841cab7008c870bfb0a37
Publikováno v:
Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Vol 10, Iss 1, Pp 1-15 (2024)
Abstract The shale’s multi-scale mechanical behaviors were investigated to understand the time-dependent damage characteristics induced by shale–fluid interaction. The test results indicate that, as fluid–shale interaction proceeds, the mechani
Externí odkaz:
https://doaj.org/article/41ced8e0103a471cb932f2536bb0522a
Publikováno v:
Cybersecurity, Vol 7, Iss 1, Pp 1-17 (2024)
Abstract Human pose estimation is an important task in computer vision, which can provide key point detection of human body and obtain bone information. At present, human pose estimation is mainly utilized for detection of large targets, and there is
Externí odkaz:
https://doaj.org/article/5ce1d65d38d04d90944f78f6016dcc95
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract To develop and validate a diagnostic prediction model based on blood parameters for predicting the pertussis in children. A retrospective study of 477 children with suspected pertussis at Zigong First People’s Hospital was performed betwee
Externí odkaz:
https://doaj.org/article/fc63a5c442ed464583a44a29d5551469
Publikováno v:
Biology Direct, Vol 19, Iss 1, Pp 1-17 (2024)
Abstract Background Neuroendocrine prostate cancer (NEPC), a lethal subset of prostate cancer (PCa), is characterized by loss of AR signaling and resistance to AR-targeted therapy. While it is well reported that second-generation AR blockers induce n
Externí odkaz:
https://doaj.org/article/e9d8cdddcfd84927a4971238f970dee3
Autor:
Feng Xu, Hang Jin, Huiquan Wu, Acan Jiang, Bin Qiu, Lingling Liu, Qiang Gao, Bin Lin, Weiwei Kong, Songyue Chen, Daoheng Sun
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Hydrogels are extensively explored as biomaterials for tissue scaffolds, and their controlled fabrication has been the subject of wide investigation. However, the tedious mechanical property adjusting process through formula control hindered
Externí odkaz:
https://doaj.org/article/34ecb21c26c34e258ca93e24cbb58bd7
Autor:
Guang-Yu Ding, Wei-Min Tan, You-Pei Lin, Yu Ling, Wen Huang, Shu Zhang, Jie-Yi Shi, Rong-Kui Luo, Yuan Ji, Xiao-Ying Wang, Jian Zhou, Jia Fan, Mu-Yan Cai, Bo Yan, Qiang Gao
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-16 (2024)
Abstract Background The advances in deep learning-based pathological image analysis have invoked tremendous insights into cancer prognostication. Still, lack of interpretability remains a significant barrier to clinical application. Methods We establ
Externí odkaz:
https://doaj.org/article/87c9a85be43548f8b4e6ba684603012f