Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Xuewei Wu"'
Autor:
Xuewei Wu, Shuaitong Zhang, Zhenyu Zhang, Zicong He, Zexin Xu, Weiwei Wang, Zhe Jin, Jingjing You, Yang Guo, Lu Zhang, Wenhui Huang, Fei Wang, Xianzhi Liu, Dongming Yan, Jingliang Cheng, Jing Yan, Shuixing Zhang, Bin Zhang
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-14 (2024)
Abstract Deep learning models have been developed for various predictions in glioma; yet, they were constrained by manual segmentation, task-specific design, or a lack of biological interpretation. Herein, we aimed to develop an end-to-end multi-task
Externí odkaz:
https://doaj.org/article/06dfc34eea5a434a8365097219805a38
Autor:
Jin Fang, Ying Wang, Chen Li, Weixiao Liu, Wannan Wang, Xuewei Wu, Yang Wang, Shuixing Zhang, Jing Zhang
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 2565-2579 (2024)
Cervical cancer remains a significant global public health concern, often exhibits cisplatin resistance in clinical settings. Hypoxia, a characteristic of cervical cancer, substantially contributes to cisplatin resistance. To evaluate the therapeutic
Externí odkaz:
https://doaj.org/article/49f0d59cf7c744d195449270f5ea521a
Autor:
Yi Liu, Xiaoling Shi, Chunjiao Lu, Guanhua Kou, Xuewei Wu, Xin Meng, Yuhang Lv, Juanjuan Luo, Wei Cui, Xiaojun Yang
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 283, Iss , Pp 116976- (2024)
The accumulation of the active pharmaceutical chemical in the environment usually results in environmental pollution to increase the risk to human health. Indomethacin is a non-steroidal anti-inflammatory drug that potentially causes systemic and dev
Externí odkaz:
https://doaj.org/article/9e8eacf86d104d359bd74f92ee318d59
Publikováno v:
IET Generation, Transmission & Distribution, Vol 17, Iss 23, Pp 5298-5307 (2023)
Abstract In order to solve the collaborative optimization scheduling of multi‐microgrid under the high penetration rate of new energy, this paper considered the energy interaction between micro‐grids in multi‐microgrid and the relationship betw
Externí odkaz:
https://doaj.org/article/7ed05b19f8764dabaa4fc444fb2f9269
Publikováno v:
Water Supply, Vol 23, Iss 10, Pp 4074-4091 (2023)
This research article presents a data-driven approach for detecting bursts in water distribution networks (WDNs). The framework uses spatiotemporal information from monitoring pressure and unsupervised learning model. This approach employs three stag
Externí odkaz:
https://doaj.org/article/2059879f0cf04b0bbec1ded3e13d01ab
Publikováno v:
IET Renewable Power Generation, Vol 17, Iss 14, Pp 3484-3495 (2023)
Abstract This paper presents a reliability evaluation method for distribution network with distributed generations considering feeder fault recovery and network reconfiguration, and mainly addresses issues: 1) insufficient consideration of the charac
Externí odkaz:
https://doaj.org/article/93650346d8f44122818fda0b37a61b4f
Autor:
Jingjing You, Yue Huang, Lizhu Ouyang, Xiao Zhang, Pei Chen, Xuewei Wu, Zhe Jin, Hui Shen, Lu Zhang, Qiuying Chen, Shufang Pei, Bin Zhang, Shuixing Zhang
Publikováno v:
EClinicalMedicine, Vol 69, Iss , Pp 102499- (2024)
Summary: Background: Previous deep learning models have been proposed to predict the pathological complete response (pCR) and axillary lymph node metastasis (ALNM) in breast cancer. Yet, the models often leveraged multiple frameworks, required manual
Externí odkaz:
https://doaj.org/article/2815dcb5027b432099ddf7d71b5132ba
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 9, Iss 5, Pp 1808-1819 (2023)
Externí odkaz:
https://doaj.org/article/980ca29f2c384bb19eb6970b600964a0
Autor:
Weizhen WANG, Panpan YANG, Yongrui TI, Yuchao TANG, Leifeng XU, Xuewei WU, Zihan SONG, Jun MING
Publikováno v:
Shipin gongye ke-ji, Vol 44, Iss 18, Pp 251-257 (2023)
Lilium brownii var. viridulum is one of the main traditional edible and medicinal lily in China. This study aimed to explore the extraction technology, physicochemical properties and functional activity of polysaccharide from Lilium brownii var. viri
Externí odkaz:
https://doaj.org/article/4acb774c6b294e01bda8c2d8da5752b1
Autor:
Xiaokai Mo, Wenbo Chen, Simin Chen, Zhuozhi Chen, Yuanshu Guo, Yulian Chen, Xuewei Wu, Lu Zhang, Qiuying Chen, Zhe Jin, Minmin Li, Luyan Chen, Jingjing You, Zhiyuan Xiong, Bin Zhang, Shuixing Zhang
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-9 (2023)
Key points 1. Texture analysis based on coronal T2-weighted MR images could evaluate the renal function in patients with diabetes. 2. The All-K and LC-K outperformed other segmentation methods in the evaluation of renal function impairment. 3. The se
Externí odkaz:
https://doaj.org/article/498e9ccd062d4d8b9a5ddf678725767d