Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Zhilong Yu"'
Publikováno v:
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-18 (2024)
Abstract Improving cancer therapy by targeting the adverse tumor microenvironment (TME) rather than the cancer cells presents a novel and potentially effective strategy. In this study, we introduced FexMoyS nanoparticles (NPs), which act as sequentia
Externí odkaz:
https://doaj.org/article/d25810a644fe43af9e70179df67fa8c4
Autor:
Xin Wang, Fei Liang, Xiaomin Wang, Ye Wu, Dejun Wang, Yunjie Cheng, Jiao Li, Yougai Zhang, Bochen Sun, Yu Lin, Dandan Yu, Xiaolin Ge, Jingyi Shen, Guangyue Yao, Lei Wu, Jihong Zhang, Wei Jiang, Nan Bi, Zhilong Yu, Qifeng Wang, Zhe Yang, Xinchen Sun, Junqiang Chen, Jianzhong Cao, Hong Ge, Jun Wang, Xiangzhi Zhu, Hao Jiang, Yidian Zhao, Kuaile Zhao, Luhua Wang
Publikováno v:
Journal of the National Cancer Center, Vol 3, Iss 2, Pp 150-158 (2023)
Objectives: To investigate the health-related quality of life (HRQL) of long-term survivors of inoperable esophageal squamous cell carcinoma (ESCC) treated with definitive radiation therapy, the real-world trends in the use of advanced radiation tech
Externí odkaz:
https://doaj.org/article/b83bb65450414652abec90d2b9951079
Publikováno v:
Toxics, Vol 12, Iss 5, p 330 (2024)
The contamination of food by microplastics has garnered widespread attention, particularly concerning the health risks associated with small-sized microplastics. However, detecting these smaller microplastics in food poses challenges attributed to th
Externí odkaz:
https://doaj.org/article/13722541288c4c1e83765453401693b5
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/7a20daccc3fe4de085a4fb6b6319b928
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4552 (2023)
Transmission line fault detection using drones provides real-time assessment of the operational status of transmission equipment, and therefore it has immense importance in ensuring stable functioning of the transmission lines. Currently, identificat
Externí odkaz:
https://doaj.org/article/dd18a5507c054213b0700d4b5951238d
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Externí odkaz:
https://doaj.org/article/714e73e9acca436197f5f6022474747c
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Cutaneous melanoma could be treated by immunotherapy, which only has limited efficacy on uveal melanoma (UM). UM immunotyping for predicting immunotherapeutic responses and guiding immunotherapy should be better understood. This study identi
Externí odkaz:
https://doaj.org/article/6033d47f4ef2409f8231477417ba052d
Autor:
Zeyin Rong, Zai Luo, Zhongmao Fu, Pengshan Zhang, Tengfei Li, Jianming Zhang, Zhonglin Zhu, Zhilong Yu, Qi Li, Zhengjun Qiu, Chen Huang
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 40, Iss 1, Pp 1-17 (2021)
Abstract Background Colorectal cancer (CRC) is one of the most frequent malignancy and a leading cause of cancer-related deaths. Therefore, further researches are required to identify novel and more effective diagnoses and to identify molecular targe
Externí odkaz:
https://doaj.org/article/2ba0dea549684871bacdd303f0eca8e6
Publikováno v:
AIP Advances, Vol 12, Iss 11, Pp 115113-115113-9 (2022)
This paper presents an SOC (State of Charge) prediction method based on a chaotic time series Volterra adaptive filter. This method first verifies the chaotic characteristics of the SOC time series of lithium-ion batteries and then implements the pha
Externí odkaz:
https://doaj.org/article/8660169fda76496bb374b867e166fd48
Autor:
Shanshi Tong, Zhilong Yu, Fang Yin, Qilin Yang, Juhang Chu, Luyao Huang, Wenxue Gao, Mingping Qian
Publikováno v:
Frontiers in Chemistry, Vol 10 (2022)
Pancreatic cancer (PC) is one of the deadliest gastrointestinal malignancies. Advances in molecular biology and surgery have significantly improved survival rates for other tumors in recent decades, but clinical outcomes for PC remained relatively un
Externí odkaz:
https://doaj.org/article/a5101934fbb945829b95a22d1a4bf91a