Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Qimei Wang"'
Autor:
Xianqin Wan, Dongchan Sun, Yanmei Nie, Qimei Wang, Tianfeng Zhang, Rui Wang, Feifei Li, Xudong Zhao, Chao Gao
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Camellia oleifera, a significant woody edible oil species, was examined using 48 germplasm resources from high-altitude regions in East Guizhou Province, China, to analyze fruit quality. The analysis aimed to identify high-performance germpl
Externí odkaz:
https://doaj.org/article/20e72c58ec7a48eea86983e0f05b1afc
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Objective This study aimed to conduct a comprehensive analysis, evaluating the prognostic significance of the baseline Advanced Lung Cancer Inflammation Index (ALI) and Gustave Roussy Immune (GRIm) Score in patients undergoing immune checkpo
Externí odkaz:
https://doaj.org/article/7387772f3251417897173021301f6732
Publikováno v:
Zhongguo gonggong weisheng, Vol 39, Iss 10, Pp 1238-1242 (2023)
ObjectiveTo study social support and its influencing factors among grassroots medical staff in Zhejiang province for developing relevant interventions. MethodsAn online anonymous questionnaire survey was conducted among 2 122 conveniently recruited f
Externí odkaz:
https://doaj.org/article/9da9e6b4effa4ad6ad9a62a7679c355e
Publikováno v:
Ear, Nose & Throat Journal. :014556132210826
Objective To characterize the clinical features of patients with congenital hearing loss and unilateral cochlear nerve canal stenosis (CNCS). Methods A retrospective review of 12 patients with unilateral CNCS diagnosed between January 2018 and Decemb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec2d089498351993fd5b77ba71b4c2d8
https://doi.org/10.1177/01455613221082625
https://doi.org/10.1177/01455613221082625
Publikováno v:
Composites Science and Technology. 162:101-109
The damage evolution study on 3D woven carbon-fiber reinforced composites has always been a challenge to the research community. In this paper, a new in situ experimental method is proposed to realize the non-destructive observation of the failure pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3035f3bd35e54058cf8ccc10c1e0ef09
https://doi.org/10.1016/j.compscitech.2018.04.024
https://doi.org/10.1016/j.compscitech.2018.04.024
Autor:
Qun Zhang, Yuchang Qiu, Haixin Li, Weiming Fu, Ying Cao, Qimei Wang, Xian Wu, Ting Wu, Ying Huang, Jianxin Pang
Publikováno v:
Drug Design, Development and Therapy
Haixin Li,1,* Ying Huang,2,* Xian Wu,3 Ting Wu,1 Ying Cao,1 Qimei Wang,1 Yuchang Qiu,1 Weiming Fu,1 Qun Zhang,4 Jianxin Pang1 1Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::790ca25de4f7ce66da91c7e54d034a3b
http://europepmc.org/articles/PMC5973382
http://europepmc.org/articles/PMC5973382
Publikováno v:
Composite Structures. 181:46-57
The V-notched beam test (VNB) is recognized as a standard test method to determine the shear properties of composite materials. But it is not easy to make sure that the specimen placed in a predetermined position; the force conditions of the specimen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08c84ce375c52eb594f20c9fb50c7990
https://doi.org/10.1016/j.compstruct.2017.08.056
https://doi.org/10.1016/j.compstruct.2017.08.056
Publikováno v:
Journal of Beijing University of Traditional Chinese Medicine; 2024, Vol. 47 Issue 7, p1-1004, 1p
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2019 (2019)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
This study develops tomato disease detection methods based on deep convolutional neural networks and object detection models. Two different models, Faster R-CNN and Mask R-CNN, are used in these methods, where Faster R-CNN is used to identify the typ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d4d9c75c93696f9360e37612bbabd12
https://doaj.org/article/70d5ebb790ed4b029928eaec7a8ea97d
https://doaj.org/article/70d5ebb790ed4b029928eaec7a8ea97d
Autor:
Feng Qi, Qimei Wang
Publikováno v:
Human Centered Computing ISBN: 9783030151263
HCC
HCC
Image super-resolution has always been a research hotspot in the field of computer vision. Recently, image super-resolution algorithms using convolutional neural networks (CNN) have achieved good performance. But the existing methods based on CNN usu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9128282e33d68a16861b3a3c8fde1983
https://doi.org/10.1007/978-3-030-15127-0_18
https://doi.org/10.1007/978-3-030-15127-0_18
