Zobrazeno 1 - 10
of 7 731
pro vyhledávání: '"YUN LIN"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Statistical analysis was conducted on groundwater table data in the Ji Yuan Basin from 2006 to 2018, revealing a continuous downward trend in the groundwater table with imminent depletion of shallow groundwater resources. To ensure the susta
Externí odkaz:
https://doaj.org/article/a3e8e0cd71a84bc7802a000563938bdb
Autor:
Tim K. Tsang, Sheena G. Sullivan, Yu Meng, Francisco Tsz Tsun Lai, Min Fan, Xiaotong Huang, Yun Lin, Liping Peng, Chengyao Zhang, Bingyi Yang, Kylie E. C. Ainslie, Benjamin J. Cowling
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Extending the dosing interval of a primary series of mRNA COVID-19 vaccination has been employed to reduce myocarditis risk in adolescents, but previous evaluation of impact on vaccine effectiveness (VE) is limited to risk after s
Externí odkaz:
https://doaj.org/article/a05b63bd76964e7bab4b1c7702bde9bf
Publikováno v:
Leida xuebao, Vol 13, Iss 4, Pp 761-776 (2024)
Synthetic Aperture Radar (SAR) has the advantage of noncontact monitoring around the clock and is an important tool for closed space security monitoring. However, when SAR is employed in complex closed spaces, it is susceptible to multipath effects,
Externí odkaz:
https://doaj.org/article/413900d977514f1faf96d8192e76c5f3
Autor:
Mario Martín-Sánchez, Peng Wu, Dillon C. Adam, Bingyi Yang, Wey Wen Lim, Yun Lin, Eric H.Y. Lau, Sheena G. Sullivan, Gabriel M. Leung, Benjamin J. Cowling
Publikováno v:
Public Health in Practice, Vol 8, Iss , Pp 100525- (2024)
Background: Hong Kong enforced stringent travel restrictions during the COVID-19 pandemic. Understanding the characteristics of imported COVID-19 cases is important for establishing evidence-based control measures. Methods: Retrospective cohort study
Externí odkaz:
https://doaj.org/article/d9ad9602cd0943d98e2b718636fbf188
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 3, Pp 756-764 (2024)
As modern communication technology advances apace, the digital communication signals identification plays an important role in cognitive radio networks, the communication monitoring and management systems. AI has become a promising solution to this p
Externí odkaz:
https://doaj.org/article/78a80631c02b43f48729bb4e85ac3af3
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 3, Pp 546-556 (2024)
Interconnection of all things challenges the traditional communication methods, and Semantic Communication and Computing (SCC) will become new solutions. It is a challenging task to accurately detect, extract, and represent semantic information in th
Externí odkaz:
https://doaj.org/article/0bff2178ed144fdd807f7eeed8058094
Autor:
Xinyi Jian, Jie Cha, Zhijuan Lin, Siting Xie, Yueting Huang, Yun Lin, Haijun Zhao, Bing Xu, Yiming Luo
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Background The treatment of myeloid sarcoma (MS) is challenging and has not markedly improved patient prognosis. The introduction of venetoclax (VEN) has changed the treatment of MS, and venetoclax-based therapy has been described as very pr
Externí odkaz:
https://doaj.org/article/8d296bac29c24abf91aa2300f90da0e2
Publikováno v:
Frontiers in Nutrition, Vol 11 (2024)
BackgroundCardiorespiratory fitness (CRF) is a vital indicator of overall health and cardiovascular efficiency. Systemic inflammation significantly impacts CRF, and reducing systemic inflammation may serve as an effective strategy to improve CRF. Die
Externí odkaz:
https://doaj.org/article/7e7ca4ae7d064bb1a60497a635227661
Publikováno v:
Translational Oncology, Vol 47, Iss , Pp 102056- (2024)
ATP citrate lyase (ACLY) is activated in various cancers, but its role in clear cell renal cell carcinoma (ccRCC) remains poorly understood. Herein, we investigated the prognostic role and potential mechanism of ACLY in ccRCC. The expression profile
Externí odkaz:
https://doaj.org/article/cf5dfce71c884652933b55022091f687
Autor:
Yun Lin, Tundong Liu
Publikováno v:
IEEE Access, Vol 12, Pp 88634-88641 (2024)
Classifying the sentiment of user comments on a website is a crucial task within Natural Language Processing (NLP). Conducting sentiment analysis can aid businesses in gaining a more profound comprehension and examination of users’ emotional inclin
Externí odkaz:
https://doaj.org/article/eb452022c54a497ca349d605327d0617