Zobrazeno 1 - 10
of 3 562
pro vyhledávání: '"Li Siqi"'
Publikováno v:
陆军军医大学学报, Vol 46, Iss 9, Pp 978-987 (2024)
Objective To establish a human tonsil organoid model and investigate the immunological effects of this tonsil organoid infected by influenza virus. Methods Human tonsil tissue removed by adenoid hypertrophy surgery were subjected to gradient centrifu
Externí odkaz:
https://doaj.org/article/8f3da97894c64f6dbfc33629bfcdedea
Publikováno v:
电力工程技术, Vol 43, Iss 1, Pp 157-164 (2024)
Power system planning, load forecasting, and energy utilization analysis are significantly impacted by power load anomalies, necessitating prompt detection and identification. Firstly, the abnormal classification, causes, and characteristics of power
Externí odkaz:
https://doaj.org/article/fe30ed0dacbc40bd9179a7c9d7099a55
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 55, Pp 1511-1514 (2023)
Externí odkaz:
https://doaj.org/article/344f554312d64a1b99ae3927313f925d
Autor:
Li Siqi, Tang Xuemei
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The effective development of Civic Education work in colleges and universities can promote the cultivation of high-quality talents. Starting from Internet information technology, this paper constructs a digital platform for Civic Education work, in w
Externí odkaz:
https://doaj.org/article/2756ba461cde46b0b187f56cfefd54df
Autor:
Xia Jiangying, Zhang Xiaojuan, Zhou Kaiming, Zhang Lin, Wang Erlei, Du Wenyu, Ma Jiajun, Li Siqi, Xie Kang, Yu Benli, Zhang Junxi, Hu Zhijia
Publikováno v:
Nanophotonics, Vol 12, Iss 4, Pp 761-771 (2023)
Replica symmetry breaking (RSB) has been widely recognized as a statistical analysis approach to understand the disorder and nonlinear interactions in complex systems ranging from atoms to the cosmic scale. However, it is challenging to analyze the n
Externí odkaz:
https://doaj.org/article/6dd073188f4d456f95c8910435928929
Publikováno v:
MATEC Web of Conferences, Vol 399, p 00021 (2024)
In recent years, with the popularization of intelligent auxiliary driving technology, wireless charging technology has garnered widespread attention due to its advantages in automation. However, there are still many issues to be resolved before the w
Externí odkaz:
https://doaj.org/article/afb3e556846b4a8080c9a49595c23eb9
Direct speech translation (ST) models often struggle with rare words. Incorrect translation of these words can have severe consequences, impacting translation quality and user trust. While rare word translation is inherently challenging for neural mo
Externí odkaz:
http://arxiv.org/abs/2409.09009
Retrieval-augmented generation (RAG) is a framework enabling large language models (LLMs) to enhance their accuracy and reduce hallucinations by integrating external knowledge bases. In this paper, we introduce a hybrid RAG system enhanced through a
Externí odkaz:
http://arxiv.org/abs/2408.05141
Binary Neural Networks~(BNNs) have been proven to be highly effective for deploying deep neural networks on mobile and embedded platforms. Most existing works focus on minimizing quantization errors, improving representation ability, or designing gra
Externí odkaz:
http://arxiv.org/abs/2407.05257
Autor:
Li, Siqi, Li, Xin, Yu, Kunyu, Miao, Di, Zhu, Mingcheng, Yan, Mengying, Ke, Yuhe, D'Agostino, Danny, Ning, Yilin, Wu, Qiming, Wang, Ziwen, Shang, Yuqing, Liu, Molei, Hong, Chuan, Liu, Nan
Clinical and biomedical research in low-resource settings often faces significant challenges due to the need for high-quality data with sufficient sample sizes to construct effective models. These constraints hinder robust model training and prompt r
Externí odkaz:
http://arxiv.org/abs/2407.11034