Výsledky vyhledávání

Report

EVeCA: Efficient and Verifiable On-Chain Data Query Framework Using Challenge-Based Authentication

Autor: Shen, Meng, Liu, Yuzhi, Zhao, Qinglin, Wang, Wei, Ou, Wei, Han, Wenbao, Zhu, Liehuang

As blockchain applications become increasingly widespread, there is a rising demand for on-chain data queries. However, existing schemes for on-chain data queries face a challenge between verifiability and efficiency. Queries on blockchain databases

Externí odkaz: http://arxiv.org/abs/2410.23546

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Report

Artificial Intelligence for Web 3.0: A Comprehensive Survey

Autor: Shen, Meng, Tan, Zhehui, Niyato, Dusit, Liu, Yuzhi, Kang, Jiawen, Xiong, Zehui, Zhu, Liehuang, Wang, Wei, Xuemin, Shen

Web 3.0 is the new generation of the Internet that is reconstructed with distributed technology, which focuses on data ownership and value expression. Also, it operates under the principle that data and digital assets should be owned and controlled b

Externí odkaz: http://arxiv.org/abs/2309.09972

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Akademický článek

The Current Status of Non-surgical Treatment for Knee Osteoarthritis Patients in the Community: a Multi-center Cross-sectional Study

Autor: ZHOU Jun, LIU Xiaoyu, WANG Ping, YAN Yan, LIN Jiaming, ZHANG Kuayue, DONG Pengxuan, LIU Yuzhi, HU Xiaocong, MI Baohong, WANG Rongtian, CHEN Yuefeng, CHEN Weiheng

Publikováno v: Zhongguo quanke yixue, Vol 27, Iss 24, Pp 2969-2975 (2024)

Background Knee osteoarthritis (KOA) is a common clinical condition with a decades-long course. Long-term and personalised health management in community hospitals is the best way to prevent and treat KOA, and non-surgical treatment is an effective w

Externí odkaz: https://doaj.org/article/603def391d43418281001fed9f056d60