Zobrazeno 1 - 10
of 1 385
pro vyhledávání: '"Wu Yujie"'
Autor:
Wu Yujie, Zhang Renjia
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 11, Pp 1728-1732 (2024)
AIM: To investigate the correlation between serum levels of secreted frizzled-related protein-4(SFRP-4), chitinase 3-like protein 1(CHI3L1)and diabetic retinopathy(DR)in patients with type 2 diabetes mellitus.METHODS: Prospective study. A total of 10
Externí odkaz:
https://doaj.org/article/c315ccbbe8284c44951df074cd7297aa
Publikováno v:
Zhongguo linchuang yanjiu, Vol 37, Iss 3, Pp 405-409 (2024)
Objective To investigate the application and significance of membrane surface immunoglobulin M (sIgM) in the differential diagnosis of chronic lymphocytic leukemia (CLL) and mantle cell lymphoma (MCL). Methods The clinical data of 420 first-confirmed
Externí odkaz:
https://doaj.org/article/e8271fad70ef4a85afc8813a2a0a518c
Vision-based ego-velocity estimation is a fundamental problem in robot state estimation. However, the constraints of frame-based cameras, including motion blur and insufficient frame rates in dynamic settings, readily lead to the failure of conventio
Externí odkaz:
http://arxiv.org/abs/2408.15663
The Forward-Forward (FF) algorithm was recently proposed as a local learning method to address the limitations of backpropagation (BP), offering biological plausibility along with memory-efficient and highly parallelized computational benefits. Howev
Externí odkaz:
http://arxiv.org/abs/2408.14925
Spiking Neural Networks (SNNs) hold great potential to realize brain-inspired, energy-efficient computational systems. However, current SNNs still fall short in terms of multi-scale temporal processing compared to their biological counterparts. This
Externí odkaz:
http://arxiv.org/abs/2408.14917
Autor:
Xu, Mingkun, Yin, Huifeng, Wu, Yujie, Li, Guoqi, Liu, Faqiang, Pei, Jing, Zhong, Shuai, Deng, Lei
In recent years, spiking neural networks (SNNs) have attracted substantial interest due to their potential to replicate the energy-efficient and event-driven processing of biological neurons. Despite this, the application of SNNs in graph representat
Externí odkaz:
http://arxiv.org/abs/2407.20508
Publikováno v:
e-Polymers, Vol 20, Iss 1, Pp 317-327 (2020)
The influence of density of amino groups, nanoparticles dimension and pH on the interaction between end-functionalized polymers and nanoparticles was extensively investigated in this study. PS–NH2 and H2N–PS–NH2 were prepared using reversible a
Externí odkaz:
https://doaj.org/article/033066bc29f24ed992575cf316cc77e3
Autor:
Wu, Yujie
In this paper we use stable capillary surfaces (analogous to the $\mu$-bubble construction) to study manifolds with strictly mean convex boundary and nonnegative scalar curvature. We give an obstruction to filling 2-manifolds by such 3-manifolds base
Externí odkaz:
http://arxiv.org/abs/2405.03993
Autor:
Tan, Weihao, Zhang, Wentao, Xu, Xinrun, Xia, Haochong, Ding, Ziluo, Li, Boyu, Zhou, Bohan, Yue, Junpeng, Jiang, Jiechuan, Li, Yewen, An, Ruyi, Qin, Molei, Zong, Chuqiao, Zheng, Longtao, Wu, Yujie, Chai, Xiaoqiang, Bi, Yifei, Xie, Tianbao, Gu, Pengjie, Li, Xiyun, Zhang, Ceyao, Tian, Long, Wang, Chaojie, Wang, Xinrun, Karlsson, Börje F., An, Bo, Yan, Shuicheng, Lu, Zongqing
Despite the success in specific scenarios, existing foundation agents still struggle to generalize across various virtual scenarios, mainly due to the dramatically different encapsulations of environments with manually designed observation and action
Externí odkaz:
http://arxiv.org/abs/2403.03186
In this paper, we identify the criteria for the selection of the minimal and most efficient covariate adjustment sets for the regression calibration method developed by Carroll, Rupert and Stefanski (CRS, 1992), used to correct bias due to continuous
Externí odkaz:
http://arxiv.org/abs/2312.07829