Zobrazeno 1 - 10
of 1 010
pro vyhledávání: '"Xinghua, Li"'
Autor:
Siqi Tang, Kaixin Wei, Hao Huang, Xinghua Li, Yuxin Min, Jiayi Tai, Yi Xu, Lei Chen, Shimeng Yan, Qiangqiang Xiong, Xiaojun Li
Publikováno v:
Chemical and Biological Technologies in Agriculture, Vol 11, Iss 1, Pp 1-17 (2024)
Abstract Background Striga asiatica (L.) O. Kuntze is a traditional medicinal plant rich in flavonoids, which has various pharmacological effects such as anti-hepatitis and antioxidant activities. However, there is a scarcity of resources, and artifi
Externí odkaz:
https://doaj.org/article/46a329ae02d54fc7a12571ad12eccafb
Collaborative security assessment of cloud-edge-device distributed systems based on order parameters
Publikováno v:
网络与信息安全学报, Vol 10, Iss 3, Pp 38-51 (2024)
Distributed computing systems based on cloud-edge-device have been successfully serving thousands of applications and have become mainstream, characterized by a wide audience, high user experience requirements, and high security expectations. However
Externí odkaz:
https://doaj.org/article/769dda6cf8ce4a3282921393c177dcbc
Autor:
Run Tian, Xu Gao, Ning Kong, Xinghua Li, Yiyang Li, Jian Wang, Yongping Cao, Zhanjun Shi, Kunzheng Wang, Pei Yang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract This study compared the radiologic and clinical outcomes of a new seven-axis robotic-assisted total hip arthroplasty (THA) and conventional THA. Hundred and four patients were randomly assigned to two groups—the robotic-assisted THA group
Externí odkaz:
https://doaj.org/article/2d93915d1288426685f45437e3edf702
Publikováno v:
International Journal of Transportation Science and Technology, Vol 13, Iss , Pp 186-199 (2024)
Access to healthcare services using public transportation (PT-based healthcare accessibility) is a crucial aspect in achieving healthcare equity as it affects individuals’ ability to receive healthcare. Previous research has focused on the spatial
Externí odkaz:
https://doaj.org/article/0d8a982ed95943faa3e361f0920d53f5
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 2, Pp 289-310 (2024)
ABSTRACTRemote sensing provides us with an approach for the rapid identification and monitoring of spatiotemporal changes in the urban ecological environment at different scales. This study aimed to construct a remote sensing assessment index for urb
Externí odkaz:
https://doaj.org/article/4ab781e80c9b4c509c111c28fd84f687
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
Deep convolutional neural networks (DCNNs) have been successfully used in semantic segmentation of high-resolution remote sensing images (HRSIs). However, this task still suffers from intra-class inconsistency and boundary blur due to high intra-clas
Externí odkaz:
https://doaj.org/article/0faaf8915b014e4da793f8a45be5b26e
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32136- (2024)
Objective: The objective of this study was to assess the pharmacological activity and therapeutic mechanism of Dahuang Mudan Decotion (DHMDD) for colorectal cancer using ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS), netw
Externí odkaz:
https://doaj.org/article/faa53fec43264c578d7efa490bc365a4
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
ObjectiveThis study aimed to systematically assess the efficacy of combining acupuncture with repetitive transcranial magnetic stimulation (rTMS) in treating post-stroke depression (PSD).MethodsWe conducted a comprehensive search of eight major domes
Externí odkaz:
https://doaj.org/article/318b37b537fc407baa1c41f3de0ee375
Autor:
Xiaohang Zhou, Hui Sun, Junling Ren, Guangli Yan, Le Yang, Honglian Zhang, Haitao Lu, Xinghua Li, Toshiaki Makino, Fengting Yin, Jing Li, Xijun Wang
Publikováno v:
MedComm, Vol 5, Iss 5, Pp n/a-n/a (2024)
Abstract Mineral crude drug has revolutionized the treatment landscape in precision oncology niche that leads to the improvement in therapeutic efficiency on various tumor subtypes. Mangxiao (MX), a mineral crude drug in traditional Chinese medicine,
Externí odkaz:
https://doaj.org/article/22748d9d852c4f5493a70d42258d3a4c
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103866- (2024)
Deep learning has demonstrated its effectiveness in capturing high-level features, with convolutional neural networks (CNNs) excelling in remote sensing classification. However, CNNs encounter challenges when applied to Landsat images with limited mu
Externí odkaz:
https://doaj.org/article/8ee3349c70b04fca91393982994e7004