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pro vyhledávání: '"JunZhi Sang"'
Autor:
DongXu Wang, BingCheng Huai, Xing Ma, BaiMing Jin, YuGuang Wang, MengYu Chen, JunZhi Sang, RuiNan Liu
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background In medical imaging courses, due to the complexity of anatomical relationships, limited number of practical course hours and instructors, how to improve the teaching quality of practical skills and self-directed learning ability ha
Externí odkaz:
https://doaj.org/article/66b65c03f1b84c38bef9d571cbdabb31
Autor:
Junzhi Sang1, Chunpeng Yang1, Haiyan Liu1, Manli Zhang1, Yang Xiao1, Jinfeng Li1, Guangwei Li1 lgwsci@163.com
Publikováno v:
Tropical Journal of Pharmaceutical Research. Oct2024, Vol. 23 Issue 10, p1653-1661. 9p.
Publikováno v:
Advances in Education, Humanities and Social Science Research. 1:251
Objective: To investigate the effect of micro assistant combined with image storage and transmission system based virtual imaging system in medical imaging internship teaching. Methods: a total of 61 imaging professional students who entered the Depa
Publikováno v:
Molecular Medicine Reports
Dysregulated circular RNAs (circRNAs) are involved in the carcinogenesis and progression of multiple human malignancies. Knowledge of circRNAs in glioma (GM) is limited and further study to uncover new therapeutic targets for GM is urgently required.
Publikováno v:
Proceedings of the 21th International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA).
Publikováno v:
Systems and Computers in Japan. 32:36-44
In this paper, we propose an enhanced fault model to increase coverage in detecting physical faults in LSI. First, as an alternative to the single stuck-at fault model, we propose the “single gate logical fault with Hamming distance 1” (SGLFH1) m
Publikováno v:
Asian Test Symposium
This paper presents a logical fault model, the single gate logical fault with Hamming distance 1 (HISGLF) model, designed to enhance the defect coverage of test sets. Although some characteristics of the HISGLF model are similar to those of the singl
Conference
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