Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Haodong Jia"'
Publikováno v:
Membranes, Vol 14, Iss 4, p 81 (2024)
Surface modification of membranes is essential for improving flux and resistance to contamination for membranes. This is of great significance for membrane distillation, which relies on the vapor pressure difference across the membrane as the driving
Externí odkaz:
https://doaj.org/article/097e041fea974d338e656b5f1db35a20
Publikováno v:
Nuclear Materials and Energy, Vol 31, Iss , Pp 101196- (2022)
15Cr-15Ni ODS steels with the addition of Y or Y2O3 were fabricated via the mechanical alloying and hot isostatic pressing, followed by forging treatment (named as 15Cr-15Ni-Y and 15Cr-15Ni-Y2O3, respectively). The morphology of as-milled powders of
Externí odkaz:
https://doaj.org/article/1f4a21983b494d118d01d6e0c5fda413
Publikováno v:
Materials, Vol 16, Iss 9, p 3497 (2023)
In order to meet the growing energy demand, more environmentally friendly and efficient GEN-IV reactors have emerged. Additionally, nuclear structural materials need larger more safety margins for accident scenarios as a result of the Fukushima accid
Externí odkaz:
https://doaj.org/article/42751ae3bb25459ba748f629e266ea5b
Autor:
Lingzhi Chen, Shuai Xu, Carsten Schroer, Haodong Jia, Zhangshun Ruan, Bo Qin, Zhangjian Zhou, Bin Long
Publikováno v:
Materials, Vol 16, Iss 6, p 2295 (2023)
It is important to improve the liquid lead corrosion resistance of fuel cladding alloy for promoting the development of lead-based reactors. The corrosion behaviors of traditional T91 steel and similar oxide dispersion strengthen ODS-type steels with
Externí odkaz:
https://doaj.org/article/99d9d3ff5b0b4d7c88a7eaf7d201a419
Autor:
Rixin Su, Shusheng Wu, Hao Shen, Yaolin Chen, Jingya Zhu, Yu Zhang, Haodong Jia, Mengge Li, Wenju Chen, Yifu He, Fei Gao
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectivesThis study aimed to create a nomogram for the risk prediction of neoadjuvant chemoradiotherapy (nCRT) resistance in locally advanced rectal cancer (LARC).MethodsClinical data in this retrospective study were collected from a total of 135 LA
Externí odkaz:
https://doaj.org/article/7943b2e64f0b41a79d62510fd5267397
Publikováno v:
Frontiers in Oncology, Vol 11 (2022)
PurposeTo evaluate the feasibility of apparent diffusion coefficient (ADC) value combined with texture analysis (TA) in preoperatively predicting the expression levels of Ki-67 and p53 in endometrial carcinoma (EC) patients.MethodsClinical, pathologi
Externí odkaz:
https://doaj.org/article/25c10d1c4d3740efabe1a92746403941
Publikováno v:
Nuclear Materials and Energy, Vol 29, Iss , Pp 101101- (2021)
The effects of zirconium (Zr) addition on the microstructure and mechanical properties of a 9CrTi-ODS steel have been investigated. The addition of Zr is beneficial to refine grain size and increase dislocation density. The average size of dispersed
Externí odkaz:
https://doaj.org/article/c6ee4996b46946c3abd4f1204710b807
Autor:
Yu, Zhang, Kaiyue, Zhang, Haodong, Jia, Bairong, Xia, Chunbao, Zang, Yunqin, Liu, Liting, Qian, Jiangning, Dong
Publikováno v:
Magnetic Resonance Imaging. 91:37-44
To identify the feasibility and value of intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) and magnetic resonance imaging (MRI)-based radiomics combined with clinical prognostic factors (CPF) in predicting concurrent chemoradiotherap
Background To investigate the value of nomograms based on clinical parameters, inflammatory indicators, intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) and MRI-derived radiomics in predicting recurrence-free survival (RFS), disease
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bbc257cd6d916fdc863a7f4dd190916
https://doi.org/10.21203/rs.3.rs-2811849/v1
https://doi.org/10.21203/rs.3.rs-2811849/v1
Autor:
Shaohua Qiao, Mengfan Xue, Yan Zuo, Jiannan Zheng, Haodong Jiang, Xiangai Zeng, Dongliang Peng
Publikováno v:
BioMedical Engineering OnLine, Vol 23, Iss 1, Pp 1-18 (2024)
Abstract Multiphase information fusion and spatiotemporal feature modeling play a crucial role in the task of four-phase CT lesion recognition. In this paper, we propose a four-phase CT lesion recognition algorithm based on multiphase information fus
Externí odkaz:
https://doaj.org/article/ee9f07b6c51844d9a97d54245da3dbaf