Zobrazeno 1 - 10
of 2 300
pro vyhledávání: '"HU Juan"'
Autor:
Yunhui Chen, Long Yan, Jiang Xianmei, Gu Heyi, Xie Wei, Peng Chao, Dong Yanwen, Dong Shicun, Gao Chao, Yu Cui, Gu Peng, Liu Xiaodong, Tuo xiaoyu, Ling Bingbing, Ji Wenqing, Gao Kexian, Li Qingqing, Zheng Linglin, Zhu Yun, Zhao Lei, Hu Jihong, Zhao Wei, Yang Yaying, Hu Juan
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
ObjectiveTo develop and validate a multi-index nomogram prediction model for clinically significant prostate cancer(CSPCa) by combining the PI-RADS V2.1, quantitative magnetic resonance imaging (MRI) parameters and clinical indicators.MethodsA total
Externí odkaz:
https://doaj.org/article/1b5964ef5d7440548babce798341638c
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 24, Iss 5, Pp 352-358 (2024)
Objective To report 3 cases of Guillain-Barré syndrome (GBS) caused by heat stroke (HS) and review the relevant literatures, and summarize the clinical characteristics of GBS caused by HS. Methods and Results The three patients were all diagnosed an
Externí odkaz:
https://doaj.org/article/d83187a915124e96b1f6adfb84b84496
Publikováno v:
Dizhi lixue xuebao, Vol 30, Iss 4, Pp 703-704 (2024)
Externí odkaz:
https://doaj.org/article/d370676229ce469c96017a1c25c0fad1
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The traditional translation teaching mode is obsolete and inefficient. This paper designs a model for assessing translation quality based on a semantic association network and innovates the translation teaching mode accordingly. Firstly, a special se
Externí odkaz:
https://doaj.org/article/1d38d3ca84c14ea6867055cd64cdc338
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8933 (2023)
Predicting students’ performance is one of the most important issues in educational data mining. In this study, a method for representing students’ partial sequence of learning activities is proposed, and an early prediction model of students’
Externí odkaz:
https://doaj.org/article/6615adbd00454d46a2c26e935700d432
Publikováno v:
IEEE Access, Vol 9, Pp 2535-2544 (2021)
Clustering is one of the most important unsupervised machine learning tasks. It is widely used to solve problems of intrusion detection, text analysis, image segmentation etc. Subspace clustering is the most important method for high-dimensional data
Externí odkaz:
https://doaj.org/article/0143551ef057423a94ebb73a614617dd
Deepfake videos are becoming increasingly realistic, showing few tampering traces on facial areasthat vary between frames. Consequently, existing Deepfake detection methods struggle to detect unknown domain Deepfake videos while accurately locating t
Externí odkaz:
http://arxiv.org/abs/2401.13516
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 234, Iss 2, Pp 235-236 (2019)
C19H19NO7, monoclinic, P21/n (no. 14), a = 9.140(2) Å, b = 14.233(2) Å, c = 13.847(3) Å, β = 99.246(4)°, V = 1777.9(6) Å3, Z = 4, Rgt(F) = 0.0413, wRref(F2) = 0.0979, T = 296 K.
Externí odkaz:
https://doaj.org/article/bb30e6a931674c45946afd71f3598e2f
The exploitation of Deepfake techniques for malicious intentions has driven significant research interest in Deepfake detection. Deepfake manipulations frequently introduce random tampered traces, leading to unpredictable outcomes in different facial
Externí odkaz:
http://arxiv.org/abs/2308.09921