Zobrazeno 1 - 10
of 1 578
pro vyhledávání: '"Qian Xiang"'
Publikováno v:
Shuiwen dizhi gongcheng dizhi, Vol 51, Iss 3, Pp 80-89 (2024)
During the excavation process of deep rock masses, the surrounding rock stress field forms alternating zones of stress increase (loading zones) and stress decrease (unloading zones) near the excavation surface, which can easily trigger instability an
Externí odkaz:
https://doaj.org/article/02771ba1d04045bfb88ce854593a55dd
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 4, Pp 1-16 (2024)
Abstract We revisit HHH model [1] and extend the ansatz of matter fields to being of depending on a spatial dimension except the holographic direction. Despite homogeneous solutions of ground and excited states, especially for the excited states, the
Externí odkaz:
https://doaj.org/article/753da0877ee8482f9bfdd42ccc0b4482
Publikováno v:
Journal of Engineering and Applied Science, Vol 71, Iss 1, Pp 1-15 (2024)
Abstract Background Image denoising technology removes noise from the corrupted image by utilizing different features between image and noise. Convolutional neural network (CNN)-based algorithms have been the concern of the recent progress on diverse
Externí odkaz:
https://doaj.org/article/ffb2d328badb4e6abdef5818e20de9ae
Autor:
Jinping Li, Yan Wang, Minfeng Zhai, Mengyuan Qin, Dandi Zhao, Qian Xiang, Zaoyuan Shao, Panrong Wang, Yan Lin, Yiting Dong, Yan Liu
Publikováno v:
Thoracic Cancer, Vol 15, Iss 11, Pp 884-894 (2024)
Abstract Background To identify independent factors of cognitive frailty (CF) and construct a nomogram to predict cognitive frailty risk in patients with lung cancer receiving drug therapy. Methods In this cross‐sectional study, patients with lung
Externí odkaz:
https://doaj.org/article/2b971ed4fe7c427a8ae118d98a1b3669
Autor:
Jialiang Lin, Longjie Wang, Yuhao Wu, Qian Xiang, Yongzhao Zhao, Xuanqi Zheng, Shuai Jiang, Zhuoran Sun, Dongwei Fan, Weishi Li
Publikováno v:
Experimental and Molecular Medicine, Vol 56, Iss 3, Pp 747-759 (2024)
Abstract Intervertebral disc degeneration (IDD) is an important pathological basis for degenerative spinal diseases and is involved in mitophagy dysfunction. However, the molecular mechanisms underlying mitophagy regulation in IDD remain unclear. Thi
Externí odkaz:
https://doaj.org/article/853e460d17cc4fa086589f90e8062d05
Publikováno v:
Thrombosis Journal, Vol 22, Iss 1, Pp 1-10 (2024)
Abstract C-type lectin-like receptor-2 (CLEC-2) is a member of the C-type lectin superfamily of cell surface receptors. The first confirmed endogenous and exogenous ligands of CLEC-2 are podoplanin and rhodocytin, respectively. CLEC-2 is expressed on
Externí odkaz:
https://doaj.org/article/d3f2055582274a479e406a16cf2de3ac
Publikováno v:
Environment International, Vol 187, Iss , Pp 108649- (2024)
Rapid urbanization in the Asia-Pacific region is expected to place two-thirds of its population in concrete-dominated urban landscapes by 2050. While diverse architectural facades define the unique appearance of these urban systems. There remains a s
Externí odkaz:
https://doaj.org/article/00e89b5bc64244e097b9bbbb32eed61f
Publikováno v:
IEEE Access, Vol 12, Pp 57117-57127 (2024)
This study designs an energy management strategy for fuel cell hybrid vehicles aimed to alleviating the performance degradation of Proton Exchange Membrane Fuel Cells (PEMFC), fuel consumption, and battery State of Charge (SOC) fluctuations during ve
Externí odkaz:
https://doaj.org/article/fde2c9d66b93496090334cc37f32113b
Publikováno v:
BMC Infectious Diseases, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background To ensure emergency infection prevention and control (IPC) can be fully supervised and monitored in coronavirus disease (COVID-19) epidemic period, a three-level inspector mechanism called "Internal self-check, Departmental cross-
Externí odkaz:
https://doaj.org/article/54b8f6e37d5f4898baf758c4d7da7beb
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-19 (2023)
Abstract Ballistic missile defense systems require accurate target recognition technology. Effective feature extraction is crucial for this purpose. The deep convolutional neural network (CNN) has proven to be an effective method for recognizing high
Externí odkaz:
https://doaj.org/article/384e58bd967940ce995f389dae26cf2d