Zobrazeno 1 - 10
of 10 470
pro vyhledávání: '"YAO Jun"'
Publikováno v:
Youqi dizhi yu caishoulu, Vol 31, Iss 3, Pp 165-177 (2024)
The conventional reservoir automatic history matching method requires multiple computationally time-consuming reservoir numerical simulations. Deep learning agent models can perform alternative reservoir numerical simulation calculations with approxi
Externí odkaz:
https://doaj.org/article/54427c9b445e4ff9a8b5c1132ea0f6bd
Autor:
Li Yan-qiu, Yao Jun-peng, Yan Xiang-yun, Wang Wen, Zhang Yu-peng, Yuan Lu, Hou Yu-jun, Li Ying
Publikováno v:
Complementary Therapies in Medicine, Vol 80, Iss , Pp 103009- (2024)
Objective: To understand research advances and frontiers of acupuncture regulation on the autonomic nervous system (ANS) over the past decade through a bibliometric analysis. Methods: Publications related to acupuncture regulation on the ANS were ret
Externí odkaz:
https://doaj.org/article/2450960e81df434c8eb8f1fe67835547
Autor:
Dong Qi, Chen Sunfang, Zhou Jiuqin, Liu Jingcheng, Zou Yubin, Lin Jiawei, Yao Jun, Cai Dan, Tao Danhua, Wu Bing, Fang Bin
Publikováno v:
Nanotechnology Reviews, Vol 12, Iss 1, Pp 6250635-63 (2023)
The treatment of infectious bone defects has become a troublesome issue in orthopedics. The disease requires effective anti-infective and bone-reconstruction therapeutic functionalities. In this study, we prepared a novel antibacterial material (vanc
Externí odkaz:
https://doaj.org/article/ce10383857134f78b741f14cdabd005a
Publikováno v:
Open Life Sciences, Vol 18, Iss 1, Pp 86-9 (2023)
The present study reports a patient case with a 17α-hydroxylase deficiency accompanied by triple X syndrome. A 17α-hydroxylase deficiency leads to a very low 17α-hydroxylated steroid synthesis as well as a non-feedback increase in the adrenocortic
Externí odkaz:
https://doaj.org/article/61dd07b1276e4d959fa8a75b59e12a30
Publikováno v:
Open Geosciences, Vol 14, Iss 1, Pp 1061-1074 (2022)
In recent years, the geochemical characteristics, genesis and sources of natural gas in the Upper Triassic Xujiahe Formation in the Sichuan Basin have received extensive attention, but their genesis and sources are still controversial. In this study,
Externí odkaz:
https://doaj.org/article/891c376f037045f692d81136887578a2
Publikováno v:
Science and Technology for Energy Transition, Vol 79, p 72 (2024)
Externí odkaz:
https://doaj.org/article/e311203c51124bf0a084746104866531
Publikováno v:
Science and Technology for Energy Transition, Vol 79, p 34 (2024)
In engineering, gelled acids play a crucial role in facilitating reactive flow phenomena across diverse mediums. This study undertakes a comprehensive numerical investigation into the reactive flow dynamics within fracture-vuggy carbonates, employing
Externí odkaz:
https://doaj.org/article/3bc7927718f94f3fbb224accd4eef06f
Autor:
Grosnit, Antoine, Maraval, Alexandre, Doran, James, Paolo, Giuseppe, Thomas, Albert, Beevi, Refinath Shahul Hameed Nabeezath, Gonzalez, Jonas, Khandelwal, Khyati, Iacobacci, Ignacio, Benechehab, Abdelhakim, Cherkaoui, Hamza, El-Hili, Youssef Attia, Shao, Kun, Hao, Jianye, Yao, Jun, Kegl, Balazs, Bou-Ammar, Haitham, Wang, Jun
We introduce Agent K v1.0, an end-to-end autonomous data science agent designed to automate, optimise, and generalise across diverse data science tasks. Fully automated, Agent K v1.0 manages the entire data science life cycle by learning from experie
Externí odkaz:
http://arxiv.org/abs/2411.03562
Autor:
Lin, Haoran, Yu, Xianzhi, Zhao, Kang, Hou, Lu, Zhan, Zongyuan, Kamenev, Stanislav, Bao, Han, Hu, Ting, Wang, Mingkai, Chang, Qixin, Sui, Siyue, Sun, Weihao, Hu, Jiaxin, Yao, Jun, Yin, Zekun, Qian, Cheng, Zhang, Ying, Pan, Yinfei, Yang, Yu, Liu, Weiguo
FlashAttention series has been widely applied in the inference of large language models (LLMs). However, FlashAttention series only supports the high-level GPU architectures, e.g., Ampere and Hopper. At present, FlashAttention series is not easily tr
Externí odkaz:
http://arxiv.org/abs/2410.16663
Autor:
Sun, Yuxuan, Liu, Ruikang, Bai, Haoli, Bao, Han, Zhao, Kang, Li, Yuening, Hu, Jiaxin, Yu, Xianzhi, Hou, Lu, Yuan, Chun, Jiang, Xin, Liu, Wulong, Yao, Jun
Recently, quantization has been widely used for the compression and acceleration of large language models~(LLMs). Due to the outliers in LLMs, it is crucial to flatten weights and activations to minimize quantization error with the equally spaced qua
Externí odkaz:
http://arxiv.org/abs/2410.09426