Zobrazeno 1 - 10
of 4 409
pro vyhledávání: '"Shi Long"'
Autor:
Rui Xiang Chen, Shuo Chen Liu, Xue Chun Kan, Yi Rui Wang, Ji Fei Wang, Tian Lin Wang, Chang Li, Wang Jie Jiang, Yan An Lan Chen, Tao Zhou, Shi Long Fan, Jiang Chang, Xiao Xu, Kuang Heng Shi, Yao Dong Zhang, Ming Yu Wu, Yue Yu, Chang Xian Li, Xiang Cheng Li
Publikováno v:
Advanced Science, Vol 11, Iss 38, Pp n/a-n/a (2024)
Abstract Intrahepatic cholangiocarcinoma (ICC) is the second most common primary liver cancer and its prognosis remains poor. Although growing numbers of studies have verified the involvement of circular RNAs (circRNAs) in various cancer types, their
Externí odkaz:
https://doaj.org/article/68c900d344124e3fb05868f893a0d264
Publikováno v:
中西医结合护理, Vol 9, Iss 9, Pp 163-164 (2023)
This paper introduces a disinfection device for ICU nursing, which achieves the goal of integrated disinfection and drying of medical devices after use. During disinfection, the disinfectant can uniformly act on the surface of medical devices, drying
Externí odkaz:
https://doaj.org/article/9f29d5f4a73f4064a142a6ad96945c11
Publikováno v:
Case Studies in Construction Materials, Vol 17, Iss , Pp e01159- (2022)
Auxetic foam materials contract (expand) laterally under uniaxial compressive (tensile) load. Due to superior characteristics of auxetic foam, e.g., shear resistance and in-plane indentation resistance, studies of auxetic foam composites have been in
Externí odkaz:
https://doaj.org/article/7daf6bc50e1348b3b58f9c2ba0542d39
The NAND flash memory channel is corrupted by different types of noises, such as the data retention noise and the wear-out noise, which lead to unknown channel offset and make the flash memory channel non-stationary. In the literature, machine learni
Externí odkaz:
http://arxiv.org/abs/2410.05618
Due to the crossbar array architecture, the sneak-path problem severely degrades the data integrity in the resistive random access memory (ReRAM). In this letter, we investigate the channel quantizer design for ReRAM arrays with multiple reads, which
Externí odkaz:
http://arxiv.org/abs/2410.05135
Autor:
Ma, Xiao-Ping, Zhang, Lu, Wang, Wen-Tao, Nie, Jing-Zhe, Tian, Huan-Fang, Wu, Shi-Long, Sun, Shuai-Shuai, Xia, Tian-Long, Li, Jun, Li, Jian-Qi, Yang, Huai-Xin
Employing aberration-corrected scanning transmission electron microscopy (STEM), we meticulously investigated the intrinsic chemical heterogeneity of Fe1+yTe, Fe1+yTe0.8Se0.2, and Fe1+yTe0.5Se0.5. Comprehensive analysis reveals the presence of inters
Externí odkaz:
http://arxiv.org/abs/2410.03121
Autor:
Liao, Guofu, Wang, Taotao, Yang, Qing, Xia, Yihan, Shi, Long, Zhao, Xiang, Wu, Xiaoxiao, Zhang, Shengli, Chan, Anthony, Yuen, Richard
This paper surveys innovative protocols that enhance the programming functionality of the Bitcoin blockchain, a key part of the "Bitcoin Ecosystem." Bitcoin utilizes the Unspent Transaction Output (UTXO) model and a stack-based script language for ef
Externí odkaz:
http://arxiv.org/abs/2409.19622
Graph Neural Networks (GNNs) have exhibited remarkable efficacy in learning from multi-view graph data. In the framework of multi-view graph neural networks, a critical challenge lies in effectively combining diverse views, where each view has distin
Externí odkaz:
http://arxiv.org/abs/2408.07331
In this paper, we propose a novel diffusion-decision transformer (D2T) architecture to optimize the beamforming strategies for intelligent reflecting surface (IRS)-assisted multiple-input single-output (MISO) communication systems. The first challeng
Externí odkaz:
http://arxiv.org/abs/2406.19769
The widespread use of the Internet has posed challenges to existing centralized physical infrastructure networks. Issues such as data privacy risks, service disruptions, and substantial expansion costs have emerged. To address these challenges, an in
Externí odkaz:
http://arxiv.org/abs/2406.02239