Zobrazeno 1 - 10
of 2 898
pro vyhledávání: '"ZHANG Yuwei"'
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 7, Pp 261-265 (2024)
Objective To study the optimization measures for treating waterlogged collapsible loess stratum, it is necessary to investigate the deformation characteristics of tunnel structures after loess collapse by waterlogging. Method The foundation treatment
Externí odkaz:
https://doaj.org/article/ccdea304047145f89ac81e36994126f8
Publikováno v:
Shipin Kexue, Vol 44, Iss 23, Pp 134-141 (2023)
The aim of this study was to investigate the antioxidant and anti-aging effects and underlying mechanisms of inactivated Bacillus sp. DU-106 in Caenorhabditis elegans. The antioxidant activity of inactivated Bacillus sp. DU-106 was evaluated by in vi
Externí odkaz:
https://doaj.org/article/3200dcc383ea44e9816124c6a2d3f487
Autor:
ZHANG Yuwei, JING Hongli
Publikováno v:
罕见病研究, Vol 2, Iss 3, Pp 398-405 (2023)
Tumor-induced osteomalacia (TIO) is a rare paraneoplastic syndrome caused by tumors secreting fibroblast growth factor 23 (FGF23) that promotes urinary phosphorus excretion. Thus, TIO is typically characterized by phosphoruria, hypophosphatemia, and
Externí odkaz:
https://doaj.org/article/5f2e2b5f92b24d8ca953ea73a7a6d475
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 19, Pp 1909-1912 (2021)
Objective To investigate the laboratory and clinical characteristics of acute lymphoblastic leukemia (ALL) with e1a3 BCR-ABL fusion protein. Methods The clinical data, and results of bone marrow cytology, flow cytometry, karyotyping, fluorescence in
Externí odkaz:
https://doaj.org/article/ceb619b7ac034c20b6ce6f3d08eef97d
Autor:
LOU Guiyu, TIAN Xiangyong, ZHANG Yuwei, YANG Ke, LIU Hongyan, ZHANG Xiaomei, CAO Huixia, WANG Bin
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 20, Pp 2208-2213 (2021)
Objective To clarify the pathogenic mutations and provide references for prevention and treatment strategies and prenatal diagnosis by gene detection in 3 pedigrees with autosomal dominant polycystic kidney disease (ADPKD). Methods The family history
Externí odkaz:
https://doaj.org/article/63a70bad6a104676aa27329e1ce0cdba
This paper advances a novel architectural schema anchored upon the Transformer paradigm and innovatively amalgamates the K-means categorization algorithm to augment the contextual apprehension capabilities of the schema. The transformer model perform
Externí odkaz:
http://arxiv.org/abs/2408.04216
Autor:
Wang, Zilong, Wang, Zifeng, Le, Long, Zheng, Huaixiu Steven, Mishra, Swaroop, Perot, Vincent, Zhang, Yuwei, Mattapalli, Anush, Taly, Ankur, Shang, Jingbo, Lee, Chen-Yu, Pfister, Tomas
Retrieval augmented generation (RAG) combines the generative abilities of large language models (LLMs) with external knowledge sources to provide more accurate and up-to-date responses. Recent RAG advancements focus on improving retrieval outcomes th
Externí odkaz:
http://arxiv.org/abs/2407.08223
Autor:
Zhang, Yuwei, Xia, Tong, Han, Jing, Wu, Yu, Rizos, Georgios, Liu, Yang, Mosuily, Mohammed, Chauhan, Jagmohan, Mascolo, Cecilia
Respiratory audio, such as coughing and breathing sounds, has predictive power for a wide range of healthcare applications, yet is currently under-explored. The main problem for those applications arises from the difficulty in collecting large labele
Externí odkaz:
http://arxiv.org/abs/2406.16148
Autor:
Liu, Yanming, Peng, Xinyue, Zhang, Yuwei, Ke, Xiaolan, Deng, Songhang, Cao, Jiannan, Ma, Chen, Fu, Mengchen, Zhang, Xuhong, Cheng, Sheng, Wang, Xun, Yin, Jianwei, Du, Tianyu
Large language models have repeatedly shown outstanding performance across diverse applications. However, deploying these models can inadvertently risk user privacy. The significant memory demands during training pose a major challenge in terms of re
Externí odkaz:
http://arxiv.org/abs/2406.11087
Autor:
Wan, Jixiang, Zhang, Xudong, Dong, Shuzhou, Zhang, Yuwei, Yang, Yuchen, Wu, Ruoxi, Jiang, Ye, Li, Jijunnan, Lin, Jinquan, Yang, Ming
Accurate and robust localization remains a significant challenge for autonomous vehicles. The cost of sensors and limitations in local computational efficiency make it difficult to scale to large commercial applications. Traditional vision-based appr
Externí odkaz:
http://arxiv.org/abs/2406.03835