Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Xiaochen Feng"'
Autor:
Shuai Liu, Bin Chen, Wenzhen Zou, Hao Sha, Xiaochen Feng, Sanyang Han, Xiu Li, Xuri Yao, Jian Zhang, Yongbing Zhang
Publikováno v:
Communications Engineering, Vol 3, Iss 1, Pp 1-9 (2024)
Abstract Laser-scanning confocal microscopy serves as a critical instrument for microscopic research in biology. However, it suffers from low imaging speed and high phototoxicity. Here we build a novel deep compressive confocal microscope, which empl
Externí odkaz:
https://doaj.org/article/96bcf2e7a73949e4b47d899fe9732f9f
Autor:
Yongqiang Wang, Yuzhuo Liu, Yulin Chai, Kexuan Chen, Shilan Yang, Xiaochen Feng, Wei Li, Yuqing Mi
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundSystem coordination is an effective way to achieve high-quality development, and the debate on the interaction between health investment and economic development is still ongoing. To strengthen previous research and offer feasible advice an
Externí odkaz:
https://doaj.org/article/fb09b0c90f8b40f79f173c84ab983c29
Publikováno v:
Cancer Communications, Vol 43, Iss 3, Pp 409-412 (2023)
Externí odkaz:
https://doaj.org/article/91c3e308865641e39f46cc5cffcd953c
Autor:
Qinhao Shi, Ruijuan Qi, Xiaochen Feng, Jing Wang, Yong Li, Zhenpeng Yao, Xuan Wang, Qianqian Li, Xionggang Lu, Jiujun Zhang, Yufeng Zhao
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
The practical application of sodium-ion batteries at subzero temperatures is hindered by the slow Na-ion transfer kinetics. Here, the authors reported the niobium doping of P2-type cathode active material capable of efficient battery cycling at low t
Externí odkaz:
https://doaj.org/article/7739b954180a44ceab1b61b56b710c6d
Publikováno v:
Journal of Materials Research and Technology, Vol 18, Iss , Pp 2077-2082 (2022)
MoAlB ceramics containing a small amount of Al2O3 and MoB as impurities were synthesized by thermal explosion technique using Mo, Al, and B2O3 as the raw materials. The effect of Al content on the reaction synthesis of MoAlB materials was investigate
Externí odkaz:
https://doaj.org/article/40796b11c0ef40bbb2f3f17a40db6b46
Autor:
Yanli Zhang, Qi Zhang, Zhen Dai, DanDan Zhu, Baoyan Liang, Wangxi Zhang, Ying Liu, Ruijie Zhang, Jizhou Zhang, Xiaochen Feng, Li Yang
Publikováno v:
Journal of Asian Ceramic Societies, Pp 1-8 (2022)
Fe2AlB2 material was prepared through spark plasma sintering (SPS) by using Fe/Al/B mixed powder as the raw material. The effects of sintering temperature, holding time, and Al content on the phase composition and microstructure of the product were s
Externí odkaz:
https://doaj.org/article/6f8c829b501b4d189bf21110af19962e
Publikováno v:
IEEE Access, Vol 9, Pp 30283-30291 (2021)
Nowadays, rehabilitation training for stroke survivors is mainly completed under the guidance of the physician. There are various treatment ways, however, most of them are affected by various factors such as experience of physician and training inten
Externí odkaz:
https://doaj.org/article/7538e45c88354bb4926fe073c7400eb4
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
Armophorean ciliates constitute an important component of microeukaryotic community in anaerobic or hypoxic environments. Yet, their diversity remains poorly known due to under-sampling or the scarcity of knowledge. In this study, three metopid cilia
Externí odkaz:
https://doaj.org/article/7e845188090f4c4f981aa90bea68b9ca
Publikováno v:
Batteries, Vol 9, Iss 2, p 95 (2023)
Due to the environmental friendliness, cost-effectiveness and inherent safety, rechargeable aqueous zinc ion batteries have attracted much interest as a promising energy storage device. VO2 is one of the most common materials for rechargeable zinc io
Externí odkaz:
https://doaj.org/article/cbfa3537d19d40b8af55222e3036dba7
Autor:
Yinghao Meng, Hao Zhang, Qi Li, Fang Liu, Xu Fang, Jing Li, Jieyu Yu, Xiaochen Feng, Mengmeng Zhu, Na Li, Guodong Jing, Li Wang, Chao Ma, Jianping Lu, Yun Bian, Chengwei Shao
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
PurposeTo develop and validate a machine learning classifier based on multidetector computed tomography (MDCT), for the preoperative prediction of tumor–stroma ratio (TSR) expression in patients with pancreatic ductal adenocarcinoma (PDAC).Material
Externí odkaz:
https://doaj.org/article/97a9274c27c04a598c8643a72ca74334