Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yinhan Li"'
Autor:
Yali Weng, Yu Zhang, Yinhan Li, Xinpei Lin, Zhenkun Guo, Hong Hu, Wenya Shao, Guangxia Yu, Fuli Zheng, Ping Cai, Huangyuan Li, Siying Wu
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 273, Iss , Pp 116169- (2024)
Parkinson's disease (PD) is among the most prevalent neurodegenerative diseases, and approximately one third of patients with PD are estimated to have depression. Paraquat (PQ) exposure is an important environmental risk factor for PD. In this study,
Externí odkaz:
https://doaj.org/article/c4b6a3a2d48a4b7c92122975c1c99d67
Autor:
Junxiang Wang, Yali Weng, Yinhan Li, Yu Zhang, Jinfu Zhou, Jianping Tang, Xinpei Lin, Zhenkun Guo, Fuli Zheng, Guangxia Yu, Wenya Shao, Hong Hu, Ping Cai, Siying Wu, Huangyuan Li
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 255, Iss , Pp 114804- (2023)
Paraquat (PQ) has been widely acknowledged as an environmental risk factor for Parkinson's disease (PD). However, the interaction between splicing factor and long non-coding RNA (lncRNA) in the process of PQ-induced PD has rarely been studied. Based
Externí odkaz:
https://doaj.org/article/64309b3620784205aab41c96293cb66a
Publikováno v:
Genes, Vol 14, Iss 1, p 143 (2023)
Artificial lighting, especially blue light, is becoming a public-health risk. Excessive exposure to blue light at night has been reported to be associated with brain diseases. However, the mechanisms underlying neuropathy induced by blue light remain
Externí odkaz:
https://doaj.org/article/2212f2084fc14d878d8d1d3ff57922e3
Autor:
Haoqin Ma, Xiege Huang, Zhongtao Lu, Xiaobin Feng, Bo Duan, Wenjuan Li, Yinhan Liu, Pengcheng Zhai, Guodong Li, Qingjie Zhang
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-8 (2024)
Abstract Half Heusler materials exhibit excellent thermoelectric and mechanical properties, rendering them potential candidates for advanced thermoelectric devices. Currently, the developments on interrelated devices are impeded by their inherent bri
Externí odkaz:
https://doaj.org/article/0caa397625214b5984b3b8434246ff78
Publikováno v:
ICCAI
Nuclei segmentation plays an important role in medical image analysis but it is also a challenging area due to the tiny size of nuclei especially for breast cancer nuclei. To address these challenges, in this paper we present an improved UNet++ archi