Zobrazeno 1 - 10
of 2 878
pro vyhledávání: '"Jing Mei"'
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundThe study aimed to evaluate the positivity rates and genotype distribution of the multiplex PCR capillary electrophoresis (MPCE) and PCR-Reverse Dot Blot (PCR-RDB) assays for human papillomavirus (HPV) detection in cervical cancer tissue sp
Externí odkaz:
https://doaj.org/article/b33308a298b14130a6cfccccb44cb83e
Publikováno v:
Digital Communications and Networks, Vol 9, Iss 6, Pp 1448-1457 (2023)
Edge computing can alleviate the problem of insufficient computational resources for the user equipment, improve the network processing environment, and promote the user experience. Edge computing is well known as a prospective method for the develop
Externí odkaz:
https://doaj.org/article/67c2cf18fea0453daeb879acfb95bba0
Publikováno v:
Zhongguo shuxue zazhi, Vol 36, Iss 11, Pp 1049-1054 (2023)
Objective To verificate the performance of enzyme-linked immunosorbent assay (ELISA) in blood screening laboratory. Methods The repeatability, precision, sensitivity, specificity, compliance, detection limit and anti-interference of ELISA items in th
Externí odkaz:
https://doaj.org/article/c4354b94b3134cf5bb1986efa044832a
Autor:
Xi Chen, Ying-xue Li, Xun Cao, Meng-yun Qiang, Chi-xiong Liang, Liang-ru Ke, Zhuo-chen Cai, Ying-ying Huang, Ze-jiang Zhan, Jia-yu Zhou, Ying Deng, Lu-lu Zhang, Hao-yang Huang, Xiang Li, Jing Mei, Guo-tong Xie, Xiang Guo, Xing Lv
Publikováno v:
Lipids in Health and Disease, Vol 22, Iss 1, Pp 1-13 (2023)
Abstract Background Dysregulation of lipid metabolism is closely associated with cancer progression. The study aimed to establish a prognostic model to predict distant metastasis-free survival (DMFS) in patients with nasopharyngeal carcinoma (NPC), b
Externí odkaz:
https://doaj.org/article/ee63bbf351264abb9cff062a2210848b
Publikováno v:
Frontiers in Medicine, Vol 10 (2024)
Externí odkaz:
https://doaj.org/article/95ed41b217d341af8b4211dc007ed6d6
Autor:
Jing Mei, Jinlu Han, Fujun Wu, Qichang Pan, Fenghua Zheng, Juantao Jiang, Youguo Huang, Hongqiang Wang, Kui Liu, Qingyu Li
Publikováno v:
Frontiers in Chemistry, Vol 10 (2023)
Tin (II) sulfide (SnS) has been regarded as an attractive anode material for lithium-ion batteries (LIBs) owing to its high theoretical capacity. However, sulfide undergoes significant volume change during lithiation/delithiation, leading to rapid ca
Externí odkaz:
https://doaj.org/article/edfc10528795425c96e1afafc9c67750
Autor:
Pengwei Hu, Yu-an Huang, Jing Mei, Henry Leung, Zhan-heng Chen, Ze-min Kuang, Zhu-hong You, Lun Hu
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss S1, Pp 1-13 (2021)
Abstract Background Disease-drug associations provide essential information for drug discovery and disease treatment. Many disease-drug associations remain unobserved or unknown, and trials to confirm these associations are time-consuming and expensi
Externí odkaz:
https://doaj.org/article/5ff8c9e48d6041029f17dc26c75b30c0
Autor:
Li Jun Fang, Jian Hua Chen, Jing Mei Wang, Wei Wei Lin, Xiao Gen Lin, Qiao Jing Lin, YaSan He
Publikováno v:
ACS Omega, Vol 6, Iss 4, Pp 2675-2685 (2021)
Externí odkaz:
https://doaj.org/article/90058111fd7541d4b01c7a0f8401fcde
The tensor-train (TT) format is a data-sparse tensor representation commonly used in high dimensional function approximations arising from computational and data sciences. Various sequential and parallel TT decomposition algorithms have been proposed
Externí odkaz:
http://arxiv.org/abs/2407.11290
In this paper, we present a new adaptive rank approximation technique for computing solutions to the high-dimensional linear kinetic transport equation. The approach we propose is based on a macro-micro decomposition of the kinetic model in which the
Externí odkaz:
http://arxiv.org/abs/2406.19479