Zobrazeno 1 - 10
of 890
pro vyhledávání: '"Yang Yongjian"'
Publikováno v:
Hangkong gongcheng jinzhan, Vol 14, Iss 3, Pp 41-49,60 (2023)
Aeroelastic modelling and stability analysis of wing with morphing trailing edge have attracted more and more attention. In order to explore the methods and characteristics between active flutter suppression of wings with morphing trailing edge and c
Externí odkaz:
https://doaj.org/article/d06f19ecf8f041f6beaeaed5b72f23b9
Publikováno v:
Xiehe Yixue Zazhi, Vol 13, Iss 1, Pp 82-88 (2022)
Objective To explore the correlation between a body shape index (ABSI) and target organ injury in patients with hypertension. Methods A cross-sectional study was used to collect related clinical indicators of patients with hypertension who were hospi
Externí odkaz:
https://doaj.org/article/a7b51b6986384f1c8ef330464c0e05cf
With the rapid development of various sensing devices, spatiotemporal data is becoming increasingly important nowadays. However, due to sensing costs and privacy concerns, the collected data is often incomplete and coarse-grained, limiting its applic
Externí odkaz:
http://arxiv.org/abs/2410.05323
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 12, Pp 1153-1161 (2021)
Objective To investigate the protective effect of rosmarinic acid (RA) on hypertensive nephropathy in mice and its underlying mechanism. Methods Thirty male C57BL/6 mice (6~8 weeks) were randomly divided into 3 groups: control group, AngⅡ group (An
Externí odkaz:
https://doaj.org/article/4c0725359fd145f788f7950b3c355788
Autor:
Yang, Yongjian
This dissertation explores the application of machine learning in molecular biology, focusing on gene expression regulation and cellular behavior at the single-cell level. Using modern neural networks, the research addresses key challenges in cell-ce
Externí odkaz:
http://arxiv.org/abs/2409.19482
Publikováno v:
Di-san junyi daxue xuebao, Vol 42, Iss 19, Pp 1920-1929 (2020)
Objective To explore the role of Dickkopf-related protein 1 (DKK1) in hypertension and its effect on urinary sodium excretion. Methods Twelve rats with normal blood pressure (Wister Kyoto rats, WKY), and 12 primary hypertension rats (spontaneously hy
Externí odkaz:
https://doaj.org/article/1281e52c16ca461eada2015049db5117
Recommendation models trained on the user feedback collected from deployed recommendation systems are commonly biased. User feedback is considerably affected by the exposure mechanism, as users only provide feedback on the items exposed to them and p
Externí odkaz:
http://arxiv.org/abs/2311.05864
Inferring user preferences from the historical feedback of users is a valuable problem in recommender systems. Conventional approaches often rely on the assumption that user preferences in the feedback data are equivalent to the real user preferences
Externí odkaz:
http://arxiv.org/abs/2311.03382
Recommender models aim to capture user preferences from historical feedback and then predict user-specific feedback on candidate items. However, the presence of various unmeasured confounders causes deviations between the user preferences in the hist
Externí odkaz:
http://arxiv.org/abs/2311.03381
Data analysis usually suffers from the Missing Not At Random (MNAR) problem, where the cause of the value missing is not fully observed. Compared to the naive Missing Completely At Random (MCAR) problem, it is more in line with the realistic scenario
Externí odkaz:
http://arxiv.org/abs/2308.08158