Zobrazeno 1 - 10
of 5 301
pro vyhledávání: '"YIN Hang"'
Publikováno v:
Guan'gai paishui xuebao, Vol 42, Iss 8, Pp 80-89 (2023)
【Objective】 Drought is the most important abiotic stress affecting crop production in North China. Understanding its characteristics is essential to agricultural management. This paper is to investigate the spatiotemporal variation in drought fro
Externí odkaz:
https://doaj.org/article/0e336bff8c574284961ddcfc08ea8e4f
Autor:
Yin Hang
Publikováno v:
MATEC Web of Conferences, Vol 404, p 03003 (2024)
Metal-organic frameworks (MOFs) attracted much attention of researchers in biomedicine because of its diverse functions, tuneable pore sizes, and large surface area. MOFs act as a possible drug delivery system and have numerous advantages. It exhibit
Externí odkaz:
https://doaj.org/article/58d0f5d0723d4bff913a016ab6a271b3
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0293582 (2023)
In many developing economies, high and increasing public debt profile constitutes an essential means of financial risk. An appropriate debt management is germane for survival of business and good international reputation though its effect on private
Externí odkaz:
https://doaj.org/article/2aa5bfb1dd59422fa06412a303960b70
Autor:
Peng Congnan, Zhou Juntong, Sun Yaxuan, Yin Hang, Chen Yuxin, Yao Li, Qi Kailin, Huo Qing, Xie Fei
Publikováno v:
Open Chemistry, Vol 19, Iss 1, Pp 1288-1295 (2021)
Arsenic (As) accumulated in genuine medicinal materials will not only deteriorate the original medicinal properties of the medicinal materials but also harm the eater’s body. In this study, inductively coupled plasma mass spectrometry (ICP-MS) tech
Externí odkaz:
https://doaj.org/article/9aacb9960d9247d386cf18c0cff9ddb3
Artificial intelligence generated content (AIGC) technologies, with a predominance of large language models (LLMs), have demonstrated remarkable performance improvements in various applications, which have attracted great interests from both academia
Externí odkaz:
http://arxiv.org/abs/2411.06193
Kelvin Probe Force Microscopy (KPFM) is widely used to measure the surface potential on samples, from which electrostatic patch force can be calculated. However, since the KPFM measurements represent a weighted average of local potentials on the samp
Externí odkaz:
http://arxiv.org/abs/2411.01733
Spike train classification has recently become an important topic in the machine learning community, where each spike train is a binary event sequence with \emph{temporal-sparsity of signals of interest} and \emph{temporal-noise} properties. A promis
Externí odkaz:
http://arxiv.org/abs/2411.05806
In this paper, we propose a new framework for zero-shot object navigation. Existing zero-shot object navigation methods prompt LLM with the text of spatially closed objects, which lacks enough scene context for in-depth reasoning. To better preserve
Externí odkaz:
http://arxiv.org/abs/2410.08189
Autor:
Reichlin, Alfredo, Tegnér, Gustaf, Vasco, Miguel, Yin, Hang, Björkman, Mårten, Kragic, Danica
Given a finite set of sample points, meta-learning algorithms aim to learn an optimal adaptation strategy for new, unseen tasks. Often, this data can be ambiguous as it might belong to different tasks concurrently. This is particularly the case in me
Externí odkaz:
http://arxiv.org/abs/2410.01476
Autor:
Cai, Xiaofan, Chen, Ruichang, Gao, Xu, Yuan, Meili, Hu, Haixia, Yin, Hang, Qu, Yuanyuan, Tan, Yang, Chen, Feng
Recently, avalanche multiplication has been observed in TMDC-based FETs, enhancing sensor performance with high sensitivity. However, the high voltage required for operation can damage the FETs, making it crucial to reduce the breakdown voltage for e
Externí odkaz:
http://arxiv.org/abs/2409.07677