Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Junpeng Wu"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Liriodendron, a relic genus from the Magnoliaceae family, comprises two species, L. tulipifera and L. chinense. L. tulipifera is distinguished by its extensive natural distribution in Eastern North America. Conversely, L. chinense is nearing endanger
Externí odkaz:
https://doaj.org/article/8f7612a7912945c380f54cf9351c7aaf
Autor:
Yaxian Zong, Fengchao Zhang, Hainan Wu, Hui Xia, Junpeng Wu, Zhonghua Tu, Lichun Yang, Huogen Li
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Alternative splicing (AS), a pivotal post-transcriptional regulatory mechanism, profoundly amplifies diversity and complexity of transcriptome and proteome. Liriodendron chinense (Hemsl.) Sarg., an excellent ornamental tree species renowned
Externí odkaz:
https://doaj.org/article/919bdc1de5304ee1ae73429569882508
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Opioid crisis has become a global concern, but whether physical activity (PA) can effectively reduce prescription opioid use remains unclear. The study aimed to examine the relationship of different domains of PA (e.g., occupation
Externí odkaz:
https://doaj.org/article/6e43fd095e414f1aa284905bfebc7c0c
Publikováno v:
Frontiers in Nutrition, Vol 11 (2024)
ObjectiveThis study aimed to investigate the association between serum 25-hydroxyvitamin D (25(OH)D) concentrations and mortality in long-term prescription opioid users.MethodsThe study included 1856 long-term prescription opioid users from the Natio
Externí odkaz:
https://doaj.org/article/93dd5dfa7a9d43bd956bd0894dd7472d
Publikováno v:
Applied Sciences, Vol 14, Iss 9, p 3623 (2024)
Among the existing insulator defect detection methods, the automatic detection of inspection robots based on the instance segmentation algorithm is relatively more efficient, but the problem of the limited accuracy of the segmentation algorithm is st
Externí odkaz:
https://doaj.org/article/f6bb6307e7e34a09bd3df15b88d1320a
Publikováno v:
The Journal of Engineering, Vol 2023, Iss 9, Pp n/a-n/a (2023)
Abstract In the process of electrical equipment detection based on deep learning, insufficient image samples of the target equipment will lead to detection failure. To solve this problem, an object detection network and two‐stage fine‐tuning appr
Externí odkaz:
https://doaj.org/article/6a482a1fda914354b1f25e3725ce76f3
Autor:
Jiaqi Zhang, Xin Yin, Hao Wang, Tianyi Fang, Jialiang Gao, Ziyu Zhu, Chunfeng Li, Yufei Wang, Xibo Wang, Zhanfei Lu, Junpeng Wu, Yimin Wang, Yao Zhang, Yingwei Xue
Publikováno v:
Cancer Control, Vol 30 (2023)
Background Tumor markers (TMs) are important for the prognosis of gastric cancer (GC). However, the prognostic importance of the tumor marker index (TMI) based on GC-specific TMs for advanced gastric cancer (AGC) still needs to be further explored. M
Externí odkaz:
https://doaj.org/article/579bf306f31c455f81ad0694d0ca9403
Autor:
Xuhua Guo, Jianwei He, Yang Zheng, Junpeng Wu, Caofeng Pan, Yunlong Zi, Hongzhi Cui, Xiaoyi Li
Publikováno v:
Nano Research Energy, Vol 2, Iss 3, Pp e9120074-e9120074 (2023)
With the growing economy and technology, disease prevention and individual health are becoming more and more important. It is highly urgent to develop a non-toxic, self-powered, and safe high-voltage power source to prevent diseases spread by mosquit
Externí odkaz:
https://doaj.org/article/495ad5daa8604f7080ce7a6fc0217e50
Publikováno v:
The Journal of Engineering, Vol 2022, Iss 10, Pp 1006-1016 (2022)
Abstract Infrared imaging technology is widely used in the fault diagnosis of power equipment. The power equipment images obtained by infrared thermal cameras generally have the characteristics of low resolution, low contrast, similar geometric featu
Externí odkaz:
https://doaj.org/article/039b5d71ce134cc8acef99f3d42e274c
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 7, Iss 2, Pp 244-255 (2022)
Abstract With the development of high‐performance computing, it is possible to solve large‐scale computing problems. However, the irregularity and access characteristics of computing problems bring challenges to the realisation and performance op
Externí odkaz:
https://doaj.org/article/bcfa2b1c5c164a6fbc309b707aaed6a6