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pro vyhledávání: '"Yongli T"'
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Akademický článek
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Autor:
Zeliang Zeng, Panke Qin, Yue Zhang, Yongli Tang, Shenjie Cheng, Sensen Tu, Yongjie Ding, Zhenlun Gao, Yaxing Liu
Publikováno v:
PeerJ Computer Science, Vol 10, p e2215 (2024)
Arbitrage spread prediction can provide valuable insights into the identification of arbitrage signals and assessing associated risks in algorithmic trading. However, achieving precise forecasts by increasing model complexity remains a challenging ta
Externí odkaz:
https://doaj.org/article/5d0be90281ef4618843f70f69b688839
Publikováno v:
CyTA - Journal of Food, Vol 21, Iss 1, Pp 394-403 (2023)
ABSTRACTLong-term consumption of rapidly digestible starches is a major factor associated with diabetes and other metabolic diseases. In this study, cassava starch (CS) was used to investigate interactions between starch and different forms of gluten
Externí odkaz:
https://doaj.org/article/e4a665e0e6cb4ec1b25edef4697bacc8
Publikováno v:
Entropy, Vol 26, Iss 9, p 793 (2024)
The existing lattice-based cut-and-choose oblivious transfer protocol is constructed based on the learning-with-errors (LWE) problem, which generally has the problem of inefficiency. An efficient cut-and-choose oblivious transfer protocol is proposed
Externí odkaz:
https://doaj.org/article/bf6b7465cc154738bb5cfda80f8c687a
Publikováno v:
Journal of Health, Population and Nutrition, Vol 42, Iss 1, Pp 1-10 (2023)
Abstract Objective To identify the prevalence of obesity, sarcopenia, sarcopenic obesity in end-stage knee osteoarthritis (KOA) patients and analyze influences of obesity and sarcopenia in the progression of KOA. Methods A cross-sectional study was c
Externí odkaz:
https://doaj.org/article/75bdadcd83ff42a9a5eea07c76d56c4e
Autor:
Shenjie Cheng, Panke Qin, Baoyun Lu, Jinxia Yu, Yongli Tang, Zeliang Zeng, Sensen Tu, Haoran Qi, Bo Ye, Zhongqi Cai
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0303688 (2024)
Deep learning models struggle to effectively capture data features and make accurate predictions because of the strong non-linear characteristics of arbitrage data. Therefore, to fully exploit the model performance, researchers have focused on networ
Externí odkaz:
https://doaj.org/article/5cbb1f1960af4d699864983c34095a3d
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e23458- (2024)
Technology mining (or tech mining, TM) is an emerging research field in science, technology, and innovation studies. However, due to the rapid increase and widespread application of TM research, accurately capturing research topics and emerging devel
Externí odkaz:
https://doaj.org/article/430c6a7d5ff145e0bbff8405d5031a29
Autor:
Fei Xie, Linhao Guo, Zichun Wang, Yongli Tian, Caiying Yue, Xingjun Zhou, Wei Wang, Jinyuan Xin, Changwei Lü
Publikováno v:
Environment International, Vol 179, Iss , Pp 108179- (2023)
Carbonaceous aerosols, comprising organic carbon (OC) and elemental carbon (EC), are critical component of fine particulate matter (PM2.5), with diverse impacts on air quality and human health. This study investigated the concentrations and seasonal
Externí odkaz:
https://doaj.org/article/60bbf5a9528b47e891b9c7f83d697bfb
Publikováno v:
Shipin gongye ke-ji, Vol 44, Iss 3, Pp 141-147 (2023)
The isolation, purification and enzymatic properties of β-glucosidase from cassava roots were studied. The crude enzyme extract was obtained from cassava roots with buffer solution, and the activity of crude enzyme was 9.37 U/g cassava dry weight. P
Externí odkaz:
https://doaj.org/article/47bd60a784aa4f8e858aa318ecb1953e