Zobrazeno 1 - 10
of 1 285
pro vyhledávání: '"LIU Li⁃ping"'
Publikováno v:
Shipin yu jixie, Vol 38, Iss 10, Pp 171-177 (2022)
Objective: To study and optimize the extraction technology of bacteriostatic extract from Indocalamus leaves. Methods: The extracts were drawn from Indocalamus leaves by ultrasound-assisted, refluxing and immersing method with extraction solvents: wa
Externí odkaz:
https://doaj.org/article/3f568a46af5a4792b2e5d7f1f30ff5f7
Autor:
YANG Qi-fu, XU Wen-si, HU Si-si, MA Jia-chen, HUANG Di, LIU Li-ping, HE Jiang, YANG Pin-hong, ZHOU Shun-xiang
Publikováno v:
Shipin yu jixie, Vol 38, Iss 2, Pp 57-63 (2022)
Objective: In order to increase the added value of crayfish by-products. Methods: With chromatographic peaks and peak areas as the inspection indicators, the optimization on equilibrium time, addition of sodium chloride, extraction time and extractio
Externí odkaz:
https://doaj.org/article/74ddfbcbea2f4c5db458f0d1d57badff
One important approach to improving the reliability of large language models (LLMs) is to provide accurate confidence estimations regarding the correctness of their answers. However, developing a well-calibrated confidence estimation model is challen
Externí odkaz:
http://arxiv.org/abs/2411.02454
Autor:
Bushuiev, Roman, Bushuiev, Anton, de Jonge, Niek F., Young, Adamo, Kretschmer, Fleming, Samusevich, Raman, Heirman, Janne, Wang, Fei, Zhang, Luke, Dührkop, Kai, Ludwig, Marcus, Haupt, Nils A., Kalia, Apurva, Brungs, Corinna, Schmid, Robin, Greiner, Russell, Wang, Bo, Wishart, David S., Liu, Li-Ping, Rousu, Juho, Bittremieux, Wout, Rost, Hannes, Mak, Tytus D., Hassoun, Soha, Huber, Florian, van der Hooft, Justin J. J., Stravs, Michael A., Böcker, Sebastian, Sivic, Josef, Pluskal, Tomáš
The discovery and identification of molecules in biological and environmental samples is crucial for advancing biomedical and chemical sciences. Tandem mass spectrometry (MS/MS) is the leading technique for high-throughput elucidation of molecular st
Externí odkaz:
http://arxiv.org/abs/2410.23326
Autor:
HU Wen⁃zheng, YANG Zhong⁃hua, HUANG Yue, SHI Guang⁃zhi, ZHANG Zhe, LIU Li⁃ping, ZHOU Jian⁃xin
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 21, Iss 04, Pp 241-244 (2021)
Since the Harvard Brain Death Criteria was published in 1968, many guidelines and diagnostic procedures of Brain Death/Death by Neurologic Criteria (BD/DNC) have been published throughout the world, and these determination criteria have been constant
Externí odkaz:
https://doaj.org/article/b5c91c5d36bd475fb39af703767ac8f8
Autor:
Liu Li-ping
Publikováno v:
SHS Web of Conferences, Vol 179, p 01003 (2023)
The idea that “the human voice has a feature of embodiment” was proposed by Mr. Xue Yibing, a Chinese researcher who belongs to a member of the Institute of Music, China Academy of Art. Such a no-tion is not only strange but also familiar. In thi
Externí odkaz:
https://doaj.org/article/df656b07bb5e4b96822f45491de4c236
Turbulent flows have historically presented formidable challenges to predictive computational modeling. Traditional numerical simulations often require vast computational resources, making them infeasible for numerous engineering applications. As an
Externí odkaz:
http://arxiv.org/abs/2311.07896
Recently developed deep neural models like NetGAN, CELL, and Variational Graph Autoencoders have made progress but face limitations in replicating key graph statistics on generating large graphs. Diffusion-based methods have emerged as promising alte
Externí odkaz:
http://arxiv.org/abs/2310.14441
Self-supervised training methods for transformers have demonstrated remarkable performance across various domains. Previous transformer-based models, such as masked autoencoders (MAE), typically utilize a single normalization layer for both the [CLS]
Externí odkaz:
http://arxiv.org/abs/2309.12931
Spatial interpolation is a class of estimation problems where locations with known values are used to estimate values at other locations, with an emphasis on harnessing spatial locality and trends. Traditional Kriging methods have strong Gaussian ass
Externí odkaz:
http://arxiv.org/abs/2306.09463