Zobrazeno 1 - 10
of 1 863
pro vyhledávání: '"Cong Xin"'
Publikováno v:
Guan'gai paishui xuebao, Vol 43, Iss 6, Pp 18-25 (2024)
【Objective】 Brackish waters including saline groundwater and treated wastewater have been increasingly used as a complimentary irrigation water resource in regions where freshwater is scarce. In the paper we investigate the effect of various conc
Externí odkaz:
https://doaj.org/article/46186b03de014b5caa1294e29192d0c0
Publikováno v:
Guan'gai paishui xuebao, Vol 43, Iss 1, Pp 28-34 (2024)
【Objective】 To explore reasonable water and nitrogen management practices in the main winter wheat producing areas of North China. 【Method】 A field experiment was carried out at the Irrigation Experiment Centre Station of Shandong Province fr
Externí odkaz:
https://doaj.org/article/58ff5f12ea0a4552ba7748dc53c86e89
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25016- (2024)
Based on the discrepancy–maladaptive hypothesis and general strain theory, in this study, we examined two key aspects: first, the mediating role of self-control in the relationship between parent–adolescent discrepancies in positive parenting and
Externí odkaz:
https://doaj.org/article/9d4d3f99cc404a4694ad713438f991d3
Autor:
Fan, Shengda, Cong, Xin, Fu, Yuepeng, Zhang, Zhong, Zhang, Shuyan, Liu, Yuanwei, Wu, Yesai, Lin, Yankai, Liu, Zhiyuan, Sun, Maosong
Recent advancements in large language models (LLMs) have driven a revolutionary paradigm shift in process automation from Robotic Process Automation to Agentic Process Automation by automating the workflow orchestration procedure based on LLMs. Howev
Externí odkaz:
http://arxiv.org/abs/2411.05451
Autor:
Tian, Runchu, Li, Yanghao, Fu, Yuepeng, Deng, Siyang, Luo, Qinyu, Qian, Cheng, Wang, Shuo, Cong, Xin, Zhang, Zhong, Wu, Yesai, Lin, Yankai, Wang, Huadong, Liu, Xiaojiang
Positional bias in large language models (LLMs) hinders their ability to effectively process long inputs. A prominent example is the "lost in the middle" phenomenon, where LLMs struggle to utilize relevant information situated in the middle of the in
Externí odkaz:
http://arxiv.org/abs/2410.14641
Autor:
Lu, Yaxi, Yang, Shenzhi, Qian, Cheng, Chen, Guirong, Luo, Qinyu, Wu, Yesai, Wang, Huadong, Cong, Xin, Zhang, Zhong, Lin, Yankai, Liu, Weiwen, Wang, Yasheng, Liu, Zhiyuan, Liu, Fangming, Sun, Maosong
Agents powered by large language models have shown remarkable abilities in solving complex tasks. However, most agent systems remain reactive, limiting their effectiveness in scenarios requiring foresight and autonomous decision-making. In this paper
Externí odkaz:
http://arxiv.org/abs/2410.12361
Autor:
Chen, Guoxin, Zhang, Zhong, Cong, Xin, Guo, Fangda, Wu, Yesai, Lin, Yankai, Feng, Wenzheng, Wang, Yasheng
Tool learning enables large language models (LLMs) to interact with external tools and APIs, greatly expanding the application scope of LLMs. However, due to the dynamic nature of external environments, these tools and APIs may become outdated over t
Externí odkaz:
http://arxiv.org/abs/2410.06617
Autor:
Youzhen Chen, Manman Zhang, Cong Xin, Yunfei Guo, Qin Lin, Zhujun Ma, Jinhui Hu, Weiting Huang, Qianfang Liao
Publikováno v:
Frontiers in Psychology, Vol 12 (2022)
Event-based prospective memory (ProM) refers to remembering to execute planned actions in response to a target ProM cues. Encoding modality influences ProM performance; visual encoding has been studied more than auditory encoding. Further, it has not
Externí odkaz:
https://doaj.org/article/dac25715e6164ff486bdf66602629e8f
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-5 (2019)
Abstract Background Genomic prediction is an advanced method for estimating genetic values, which has been widely accepted for genetic evaluation in animal and disease-risk prediction in human. It estimates genetic values with genome-wide distributed
Externí odkaz:
https://doaj.org/article/178a6dd310514fa6a57bdfaadf1b3071
Autor:
Li Dong, Xin Yue Hu, Yan Ni Yan, Qi Zhang, Nan Zhou, Lei Shao, Ya Xing Wang, Jie Xu, Yin Jun Lan, Yang Li, Jian Hao Xiong, Cong Xin Liu, Zong Yuan Ge, Jost. B. Jonas, Wen Bin Wei
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 9 (2021)
This study aimed to develop an automated computer-based algorithm to estimate axial length and subfoveal choroidal thickness (SFCT) based on color fundus photographs. In the population-based Beijing Eye Study 2011, we took fundus photographs and meas
Externí odkaz:
https://doaj.org/article/b83e84c28e5248a0a95ff8fa384e0f44