Jinxian Wu

Oct 8, 2024 | opg.optica.org | Hui Zhong |Xiang Ma |Jinxian Wu |Zhe Zhao

The spectral-temporally modulated Mueller spectropolarimeter (STMSP) offers advantages of broader band limitation, better resolution, and faster detection speed. However, the current STMSP calibration method separates the polarization state generator and analyzer, necessitating subsequent recombination, which is inefficient and unstable. In this paper, a holistic and in situ calibration method for STMSP is proposed.

Jul 30, 2024 | bmccancer.biomedcentral.com | Ruiyang Pan |Anjie Xu |li Liu |Jinxian Wu |Xinqi Li |Guopeng Chen | +5 more

Correction Open access Published: 30 July 2024 BMC Cancer volume 24, Article number: 923 (2024) Cite this article The Original Article was published on 24 July 2024 Correction: BMC Cancer 24, 888 (2024)Following publication of the original article [1], a typesetting error was reported, whereby Xiaoyan Liu was mistakenly not marked as a co-corresponding author. This has been corrected in this correction article. The original article [1] has been corrected.

Jul 24, 2024 | bmccancer.biomedcentral.com | li Liu |Jinxian Wu |Xinqi Li |Guopeng Chen |Dandan Liu |Xiaoyan Liu | +5 more

Five healthy persons donated blood. Inclusion criteria :1) Age: adult (≥ 18 years old); 2) Normal coagulation function; 3) No genetic history. Exclusion criteria :1) Drinking alcoholic beverages within 1 day before blood donation; 2) Take aspirin and other antiplatelet and anticoagulant drugs within 2 weeks before blood donation. Eleven female patients with hyperleukocytic acute myeloid leukemia were selected, and peripheral blood of these patients was extracted with 10 tubes (2 ml each tube).

Apr 2, 2024 | onlinelibrary.wiley.com | Jinxian Wu |Li Dai |Yuanqing Xia

CONFLICT OF INTEREST STATEMENT The authors declared that they have no conflicts of interest to this work. We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted. REFERENCES 1. Architectures for distributed and hierarchical model predictive control–a review. J Process Control. 2009; 19(5): 723-731. 2, . Distributed model predictive control: an overview and roadmap of future research opportunities.