Zobrazeno 1 - 10
of 743
pro vyhledávání: '"ZHOU Xiangdong"'
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 7, Pp 648-654 (2021)
Objective To compare the efficacy and safety of EGFR-TKI plus bevacizumab as maintenance therapy with EGFR-TKI alone for EGFR-mutated advanced lung adenocarcinoma. Methods Clinical data of 192 patients with advanced lung adenocarcinoma admitted in ou
Externí odkaz:
https://doaj.org/article/2a6be4add0004154a38eec44beba1f04
In panorama understanding, the widely used equirectangular projection (ERP) entails boundary discontinuity and spatial distortion. It severely deteriorates the conventional CNNs and vision Transformers on panoramas. In this paper, we propose a simple
Externí odkaz:
http://arxiv.org/abs/2308.14726
Document-level relation extraction (DocRE) attracts more research interest recently. While models achieve consistent performance gains in DocRE, their underlying decision rules are still understudied: Do they make the right predictions according to r
Externí odkaz:
http://arxiv.org/abs/2306.11386
Autor:
Liu Xiaoyan, Zhou Xiangdong
Publikováno v:
Brazilian Archives of Biology and Technology, Vol 56, Iss 4, Pp 567-574 (2013)
This study aimed at identifying the molecular mechanisms and effects of hypertonicity on mucin5AC (MUC5AC) expression in airway epithelial cells for which immortalized human bronchial epithelial (16HBE) cells were cultured in 600 mOsm/L hypertonic me
Externí odkaz:
https://doaj.org/article/c1b7d6a056b4420f85747f164e7aee44
3D reconstruction of novel categories based on few-shot learning is appealing in real-world applications and attracts increasing research interests. Previous approaches mainly focus on how to design shape prior models for different categories. Their
Externí odkaz:
http://arxiv.org/abs/2208.00183
Image-based object pose estimation sounds amazing because in real applications the shape of object is oftentimes not available or not easy to take like photos. Although it is an advantage to some extent, un-explored shape information in 3D vision lea
Externí odkaz:
http://arxiv.org/abs/2206.02531
Self-supervised representation learning of Multivariate Time Series (MTS) is a challenging task and attracts increasing research interests in recent years. Many previous works focus on the pretext task of self-supervised learning and usually neglect
Externí odkaz:
http://arxiv.org/abs/2203.04298
Autor:
Zhang, Jiaqi, Huang, Feng-Ying, Dai, Shu-Zhen, Wang, Lin, Zhou, Xiangdong, Zheng, Zhen-You, Li, Qi, Tan, Guang-Hong, Wang, Cai-Chun
Publikováno v:
In International Immunopharmacology 30 July 2024 136
Autor:
Fu, Yongshu, Huang, Feng-Ying, Dai, Shu-Zhen, Wang, Lin, Zhou, Xiangdong, Zheng, Zhen-You, Wang, Cai-Chun, Tan, Guang-Hong, Li, Qi
Publikováno v:
In Biomedicine & Pharmacotherapy June 2024 175
Publikováno v:
In Progress in Organic Coatings June 2024 191