Zobrazeno 1 - 10
of 1 198
pro vyhledávání: '"LONG Yong"'
Publikováno v:
Shipin yu jixie, Vol 39, Iss 1, Pp 204-209 (2023)
Objective: The main objective of this study was to optimize the soaking and gelatinization process of semi-dry rice noodles. Methods: Taking semi-dry rice noodles as the research object, the effects of soaking temperature, soaking time, gelatinizatio
Externí odkaz:
https://doaj.org/article/f212b9c4b2f34c0abe7dadde8f7afea2
Publikováno v:
Open Medicine, Vol 17, Iss 1, Pp 601-605 (2022)
Splenic artery aneurysm (SAA) is a rare condition; however, it is one of the most common intra-abdominal aneurysm. In the emergency department (ED), due to an uncommon cause of shock and syncope in SAA, it poses great diagnostic challenge for emergen
Externí odkaz:
https://doaj.org/article/45a9f4456a304ee0b05dac229d92beaa
Publikováno v:
Cailiao gongcheng, Vol 48, Iss 11, Pp 99-107 (2020)
Under the physical mixed doping of different amounts of SiO2, high temperature in-situ XRD, TEM, XPS and Rietveld full spectrum fitting were used to analyze the change rule of chemical bond and the influence of silicon on the transformation mechanism
Externí odkaz:
https://doaj.org/article/e7e59f343e2a43ce94f5437e45471bbb
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 234, Iss 3, Pp 373-375 (2019)
C52H40N2O10Mn2, monoclinic, I2/a (no. 15), a = 8.6162(4) Å, b = 11.0217(5) Å, c = 45.266(2) Å, β = 92.828(4)°, V = 4293.5(3) Å3, Z = 4, Rgt(F) = 0.0476, wRref(F2) = 0.0988, T = 293(2) K.
Externí odkaz:
https://doaj.org/article/2c94f1278222463586b0aae1f12b5417
Traditional model-based image reconstruction (MBIR) methods combine forward and noise models with simple object priors. Recent application of deep learning methods for image reconstruction provides a successful data-driven approach to addressing the
Externí odkaz:
http://arxiv.org/abs/2311.12071
Traditional model-based image reconstruction (MBIR) methods combine forward and noise models with simple object priors. Recent application of deep learning methods for image reconstruction provides a successful data-driven approach to addressing the
Externí odkaz:
http://arxiv.org/abs/2205.09587
Regression that predicts continuous quantity is a central part of applications using computational imaging and computer vision technologies. Yet, studying and understanding self-supervised learning for regression tasks - except for a particular regre
Externí odkaz:
http://arxiv.org/abs/2205.04821
Autor:
Zhang, Jianchao, Liang, Haowen, Long, Yong, Zhou, Yongle, Sun, Qian, Wu, Qinfei, Fu, Xiao, Martins, Emiliano R, Krauss, Thomas F, Li, Juntao, Wang, Xue-Hua
Metalens research has made major advances in recent years. These advances rely on the simple design principle of arranging meta-atoms in regular arrays to create an arbitrary phase and polarization profile. Unfortunately, the concept of equally space
Externí odkaz:
http://arxiv.org/abs/2203.12924
The recently proposed sparsifying transform models incur low computational cost and have been applied to medical imaging. Meanwhile, deep models with nested network structure reveal great potential for learning features in different layers. In this s
Externí odkaz:
http://arxiv.org/abs/2203.11565
Autor:
Cui, Zhaowei, Jiang, Bing, Dai, Xinhuan, Guo, Zihao, Niu, Jianan, Dong, Zilong, Long, Yong, Hu, Weiguo
Publikováno v:
In Chemical Engineering Journal 15 November 2024 500