Zobrazeno 1 - 10
of 129
pro vyhledávání: '"WeiWei Miao"'
Autor:
Longjie Xia, Runchun Huang, Yingxiong Huang, Huixian Huang, Yunxiang Luo, Yixuan Qin, Shaoliang Zhu, Fanbiao Kong, Weiwei Miao
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract This research endeavors to investigate the functions of N6-methyladenosine (m6A) regulatory genes and key genes linked to m6A modifications within the context of breast cancer (BC). The objective is to identify a promising predictive biomark
Externí odkaz:
https://doaj.org/article/c4cf7b72ebae4f3a8aba8736d1069b93
Autor:
Gang Wang, Xiaosu Zou, Jingjin Weng, Guiping Lan, Min Li, Jiazhang Wei, Wenqian Nong, Qicong Chen, Weiwei Miao, Honglin Luo, Shenhong Qu
Publikováno v:
Human Vaccines & Immunotherapeutics, Vol 20, Iss 1 (2024)
Immunotherapy is a promising strategy for nasopharyngeal carcinoma (NPC), a common and aggressive malignancy with poor prognosis. However, the literature lacks a comprehensive and objective overview of the current research status and trends of immuno
Externí odkaz:
https://doaj.org/article/48972a49fb4e47608495a2170e88a494
Publikováno v:
Cancer Cell International, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract Lactylation, an emerging post-translational modification, plays a pivotal role in the initiation and progression of digestive system tumors. This study presents a comprehensive review of lactylation in digestive system tumors, underscoring i
Externí odkaz:
https://doaj.org/article/26e85c6dc0b64827914873289f1f1cea
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-13 (2024)
Abstract Deep learning achieves an outstanding success in the edge scene due to the appearance of lightweight neural network. However, a number of works show that these networks are vulnerable for adversarial examples, bringing security risks. The cl
Externí odkaz:
https://doaj.org/article/6294be445481483496ec4e527eaaa9a5
Publikováno v:
Sensors, Vol 24, Iss 21, p 6808 (2024)
In the construction of new power systems, the traditional network security protection mainly based on boundary protection belongs to static defense and still relies mainly on manual processing in vulnerability repair, threat response, etc. It is diff
Externí odkaz:
https://doaj.org/article/7a9e2088beb84185bea1c94661c9f754
Publikováno v:
Symmetry, Vol 16, Iss 9, p 1183 (2024)
The expansion of Internet of Things (IoT) technology and the rapid increase in data in smart grid business scenarios have led to a need for more dynamic and adaptive security strategies. Traditional static security measures struggle to meet the evolv
Externí odkaz:
https://doaj.org/article/b72b62acc7df4db89c5523fce88d2fe5
Autor:
Guiling Geng, Wenwen Yang, Weiwei Miao, Yanling Lu, Honglian Xv, Chen Zheng, Xiangyun Qian, Jianqun Chen
Publikováno v:
BMJ Open, Vol 14, Iss 2 (2024)
Introduction With an increasing number of older adults in China, the number of people with cognitive impairment is also increasing. To decrease the risk of dementia, it is necessary to timely detect mild cognitive impairment (MCI), which is the preli
Externí odkaz:
https://doaj.org/article/12e0ec00c81047c2b99ca9cc5bafbb9c
Publikováno v:
Sensors, Vol 24, Iss 13, p 4069 (2024)
In the development of the Power Industry Internet of Things, the security of data interaction has always been an important challenge. In the power-based blockchain Industrial Internet of Things, node data interaction involves a large amount of sensit
Externí odkaz:
https://doaj.org/article/f6feb405c80041bb9cd2e03830bb5571
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1643 (2024)
This paper presents a feature fusion and sparse transformer-based anomalous traffic detection system (FSTDS). FSTDS utilizes a feature fusion network to encode the traffic data sequences and extracting features, fusing them into coding vectors throug
Externí odkaz:
https://doaj.org/article/8bbaf75560624002831d5ee3ee05f47a
Autor:
Tianyu Jiang, Yao Xiao, Jinfeng Zhou, Zupeng Luo, Lin Yu, Qichao Liao, Siqi Liu, Xinyi Qi, Hao Zhang, Menglong Hou, WeiWei Miao, Batbold Batsaikhan, Turtushikh Damba, Yunxiao Liang, Yixing Li, Lei Zhou
Publikováno v:
Redox Biology, Vol 68, Iss , Pp 102963- (2023)
Non-alcoholic fatty liver disease (NAFLD) is a potentially serious disease that affects 30 % of the global population and poses a significant risk to human health. However, to date, no safe, effective and appropriate treatment modalities are availabl
Externí odkaz:
https://doaj.org/article/6136eaf519a1484bba41754c6a502a80