Zobrazeno 1 - 10
of 3 615
pro vyhledávání: '"SHU Lei"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Long non-coding RNAs (lncRNAs) involved in metabolism are recognized as significant factors in breast cancer (BC) progression. We constructed a novel prognostic signature for BC using metabolism-related lncRNAs and investigated their underly
Externí odkaz:
https://doaj.org/article/8f3e604ac48745eebce35aa8cd8f5fcd
Publikováno v:
Dizhi lixue xuebao, Vol 28, Iss 5, Pp 821-841 (2022)
The Guilaizhuang gold ore field is one of the essential tellurium-rich goldfields in eastern China and the only super-large goldfield in western Shandong so far. These gold deposits controlled by the Tongshi subvolcanic dome occur in different depths
Externí odkaz:
https://doaj.org/article/ccbcdc2e1b374ca9aca931fd9f0e7bb1
Autor:
Jiaping Liu, Tianyu Shao, Hanwen Chen, Chenyang Ma, Xiaohui Lu, Xiaoming Yang, Kang Song, Lu Wang, Shu Lei, Dafen Wang
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
AimThe objective of this study is to examine the correlation between patient serum cholinesterase (SCHE) concentration and weaning failure in the context of invasive mechanical ventilation (IMV), as well as to identify predictors of ventilator weanin
Externí odkaz:
https://doaj.org/article/d072d61acb8e481aae3345e15fb6cb54
Autor:
Zhijie Liu, Wei Su, Jianpeng Ao, Min Wang, Qiuli Jiang, Jie He, Hua Gao, Shu Lei, Jinshan Nie, Xuefeng Yan, Xiaojing Guo, Pinghong Zhou, Hao Hu, Minbiao Ji
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Diagnosis of gastric cancer currently requires gastroscopic biopsy, which requires time and expertize to perform. Here, the authors demonstrate a femto-SRS imaging method which showed high accuracy in diagnosing gastric cancer without the need for pa
Externí odkaz:
https://doaj.org/article/9bde22301a624902ab1be9ff8aa9160e
Publikováno v:
智慧农业, Vol 3, Iss 1, Pp 129-143 (2021)
Solar insecticidal lamps (SILs) are widely used in agriculture for the purpose of effectively controlling pests and reducing pesticide dosage. With the increasing deployment of SILs, there are more and more reports about theft and destruction of SILs
Externí odkaz:
https://doaj.org/article/9429e972a3cb4212be7add5b90c412c2
Autor:
Wang, Maria, Sunkara, Srinivas, Baechler, Gilles, Lin, Jason, Zhu, Yun, Zubach, Fedir, Shu, Lei, Chen, Jindong
The rise of powerful multimodal LLMs has enhanced the viability of building web agents which can, with increasing levels of autonomy, assist users to retrieve information and complete tasks on various human-computer interfaces. It is hence necessary
Externí odkaz:
http://arxiv.org/abs/2409.13711
Autor:
Yadav, S., Delgado, S., Bernal, O. O., MacLaughlin, D. E., Liu, Y., Jiang, D., Santana, O., Mushammel, A., Shu, Lei, Huang, K., Yazici, D., Maple, M. B.
We report results of magnetization and $^{19}$F NMR measurements in the normal state of as-grown LaO$_{0.5}$F$_{0.5}$BiS$_2$. The magnetization is dominated by a temperature-independent diamagnetic component and a field- and temperature-dependent par
Externí odkaz:
http://arxiv.org/abs/2408.06284
Autor:
YANG Xing, SHU Lei, HUANG Kai, LI Kailiang, HUO Zhiqiang, WANG Yanfei, WANG Xinyi, LU Qiaoling, ZHANG Yacheng
Publikováno v:
智慧农业, Vol 2, Iss 2, Pp 11-27 (2020)
Solar insecticidal lamps Internet of Things (SIL-IoTs) is a novel physical agricultural pest control implement, which is an emerging paradigm that extends Internet of Things technology towards Solar Insecticidal Lamp (SIL). SIL-IoTs is composed of SI
Externí odkaz:
https://doaj.org/article/e12ea5aff29a42f0a2f2706ab6ced07d
Autor:
Luo, Liangchen, Liu, Yinxiao, Liu, Rosanne, Phatale, Samrat, Lara, Harsh, Li, Yunxuan, Shu, Lei, Zhu, Yun, Meng, Lei, Sun, Jiao, Rastogi, Abhinav
Complex multi-step reasoning tasks, such as solving mathematical problems or generating code, remain a significant hurdle for even the most advanced large language models (LLMs). Verifying LLM outputs with an Outcome Reward Model (ORM) is a standard
Externí odkaz:
http://arxiv.org/abs/2406.06592
Autor:
Zhu, Yun, Gu, Jia-Chen, Sikora, Caitlin, Ko, Ho, Liu, Yinxiao, Lin, Chu-Cheng, Shu, Lei, Luo, Liangchen, Meng, Lei, Liu, Bang, Chen, Jindong
Large language models (LLMs) augmented with retrieval exhibit robust performance and extensive versatility by incorporating external contexts. However, the input length grows linearly in the number of retrieved documents, causing a dramatic increase
Externí odkaz:
http://arxiv.org/abs/2405.16178