Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Tianjiao HAN"'
Publikováno v:
Lipids in Health and Disease, Vol 23, Iss 1, Pp 1-9 (2024)
Abstract Objective Small dense low-density lipoprotein cholesterol (sdLDL-C), as an emerging atherogenic factor of cardiovascular diseases, requires additional tests. We aimed to establish a sdLDL-C equation using standard lipid profile and evaluate
Externí odkaz:
https://doaj.org/article/c97d859038f7467c8952c66e5d1371a8
Autor:
Cancan Cui, Pingan Li, Yitian Qi, Jiayin Song, Tianjiao Han, Xinyun Shang, Lois Balmer, Chen Sheng, Yining Zha, Zhonghang Xu, Xu Wang, Zhiyuan Wu
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 20 (2024)
Background The atherogenic effect of remnant cholesterol is being increasingly acknowledged. This study aimed to explore the association of discordance between remnant cholesterol and low‐density lipoprotein cholesterol with stroke onset using 2 Ch
Externí odkaz:
https://doaj.org/article/4a585a9eef154ee29c9d6740f90c7dc0
Autor:
Cancan Cui, Yitian Qi, Jiayin Song, Xinyun Shang, Tianjiao Han, Ning Han, Siqi Yue, Yining Zha, Zhonghang Xu, Jiannan Li, Lin Liu
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-10 (2024)
Abstract Background Triglyceride and glucose (TyG) index, a surrogate marker of insulin resistance, has been validated as a predictor of cardiovascular disease. However, effects of TyG-related indices combined with obesity markers on cardiovascular d
Externí odkaz:
https://doaj.org/article/578632259c6c44e4abaf814770327137
Autor:
Cancan Cui, Lin Liu, Yitian Qi, Ning Han, Haikun Xu, Zhijia Wang, Xinyun Shang, Tianjiao Han, Yining Zha, Xin Wei, Zhiyuan Wu
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-11 (2024)
Abstract Background Both the triglyceride-glucose (TyG) index, as a surrogate marker of insulin resistance, and systemic inflammation are predictors of cardiovascular diseases; however, little is known about the coexposures and relative contributions
Externí odkaz:
https://doaj.org/article/1a9798faf245478eae89f965c5a322b2
Autor:
Tianjiao Han, Dan Yu
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 5, Pp n/a-n/a (2024)
In this article, the arbitrary‐oriented object detection problem with application in robotic grasping is addressed. A novel Jensen–Shannon divergence (JSD)– You Only Look Once (YOLO) model is proposed, which enables real‐time grasp detection
Externí odkaz:
https://doaj.org/article/60f6824eb14f4f84b94788d85e762dac
Autor:
Yitian Qi, Xinyun Shang, Tianjiao Han, Ning Han, Ziwei Jiang, Han Yan, Siqi Yue, Qichao Sun, Lin Liu, Cancan Cui
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
PurposeThe debate over the causal and longitudinal association between cystatin C and stroke in older adults persists. Our aim was to assess the link between cystatin C levels, both measured and genetically predicted, and stroke risk.MethodsThis stud
Externí odkaz:
https://doaj.org/article/c634606bd7ae4a38829f2b2939c8f1a7
Publikováno v:
CT Lilun yu yingyong yanjiu, Vol 32, Iss 1, Pp 15-25 (2023)
This study applied the cycle-consistent generative adversarial network method to the denoising of shallow profile data to realize intelligent denoising. This could help resolve the problem of noise and low resolution of shallow profile data. To do th
Externí odkaz:
https://doaj.org/article/946a868f94c84cb1864939a1601d6ced
Publikováno v:
Symmetry, Vol 16, Iss 1, p 48 (2023)
This paper addresses the image-based visual servoing (IBVS) control problem with an uncalibrated camera, unknown dynamics, and constraints. A novel data-driven uncalibrated IBVS (UIBVS) strategy is proposed, incorporated with the Koopman-based model
Externí odkaz:
https://doaj.org/article/3d17b6f550f84548b081d5a40a98b3f3
Fault2SeisGAN: A method for the expansion of fault datasets based on generative adversarial networks
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
The development of supervised deep learning technology in seismology and related fields has been restricted due to the lack of training sets. A large amount of unlabeled data is recorded in seismic exploration, and their application to network traini
Externí odkaz:
https://doaj.org/article/4fa4380e7e9f495590ce317e093b96ba
Autor:
Yujie Zhang, Dongdong Wang, Renwei Ding, Jing Yang, Lihong Zhao, Shuo Zhao, Minghao Cai, Tianjiao Han
Publikováno v:
Energies, Vol 15, Iss 21, p 8098 (2022)
Low-grade faults play an important role in controlling oil and gas accumulations, but their fault throw is small and difficult to identify. Traditional low-grade fault recognition methods are time-consuming and inaccurate. Therefore, this study propo
Externí odkaz:
https://doaj.org/article/d076655cc6be46e384bee53bfee59826