Zobrazeno 1 - 10
of 196
pro vyhledávání: '"LIU Bingyao"'
Publikováno v:
陆军军医大学学报, Vol 46, Iss 5, Pp 403-409 (2024)
Objective To investigate the regulation role of sterol regulatory element binding protein 1c (SREBP1c) in intestinal gluconeogenesis. Methods After C57BL/6 mice, and SREBP1c homozygous knockout (SREBP1c-KO) and littermate wild-type (SREBP1c-WT) mice
Externí odkaz:
https://doaj.org/article/5bcd074ecdd94f65bb6e52a8edcad7fe
Publikováno v:
陆军军医大学学报, Vol 44, Iss 23, Pp 2384-2391 (2022)
Objective To investigate the effects of sterol regulatory element binding protein 1c (SREBP1c) deficiency on the intestinal microbiota in mice. Methods SREBP1c knockout (SREBP1c-KO) mice were used as research objects, and the feces of homozygous SREB
Externí odkaz:
https://doaj.org/article/fdb8045ad095421dacd3dbbc8e816080
Autor:
Liu Zhetong, Liu Bingyao, Chen Zhaolong, Yang Shenyuan, Liu Zhiqiang, Wei Tongbo, Gao Peng, Liu Zhongfan
Publikováno v:
National Science Open, Vol 2 (2023)
Heteroepitaxy can reduce the cost and widen the application range of semiconductor film synthesis and device fabrication. However, the lattice and thermal expansion coefficient mismatches between epilayers and substrates limit the improvement of crys
Externí odkaz:
https://doaj.org/article/8a7eca1c0f814603b67c0aa90e3dee0f
This paper delves into the application of adversarial domain adaptation (ADA) for enhancing credit risk assessment in financial institutions. It addresses two critical challenges: the cold start problem, where historical lending data is scarce, and t
Externí odkaz:
http://arxiv.org/abs/2409.18544
This paper takes the graph neural network as the technical framework, integrates the intrinsic connections between enterprise financial indicators, and proposes a model for enterprise credit risk assessment. The main research work includes: Firstly,
Externí odkaz:
http://arxiv.org/abs/2409.17909
The development of Internet technology has led to a rapid increase in news information. Filtering out valuable content from complex information has become an urgentproblem that needs to be solved. In view of the shortcomings of traditional manual cla
Externí odkaz:
http://arxiv.org/abs/2409.15576
Currently, widely used first-order deep learning optimizers include non-adaptive learning rate optimizers and adaptive learning rate optimizers. The former is represented by SGDM (Stochastic Gradient Descent with Momentum), while the latter is repres
Externí odkaz:
http://arxiv.org/abs/2409.15314
Autor:
Liu, Zhetong, Liu, Bingyao, Liang, Dongdong, Li, Xiaomei, Li, Xiaomin, Chen, Li, Zhu, Rui, Xu, Jun, Wei, Tongbo, Bai, Xuedong, Gao, Peng
To gain a deeper understanding of the luminescence of multiquantum wells and the factors affecting it on a microscopic level, cathodoluminescence combined with scanning transmission electron microscopy and spectroscopy was used to reveal the luminesc
Externí odkaz:
http://arxiv.org/abs/2309.07688
Autor:
Wu, Mei, Shi, Ruochen, Qi, Ruishi, Li, Yuehui, Feng, Tao, Liu, Bingyao, Yan, Jingyuan, Li, Xiaomei, Liu, Zhetong, Wang, Tao, Wei, Tongbo, Liu, Zhiqiang, Du, Jinlong, Chen, Ji, Gao, Peng
Phonons are the primary heat carriers in non-metallic solids. In compositionally heterogeneous materials, the thermal properties are believed to be mainly governed by the disrupted phonon transport due to mass disorder and strain fluctuations, while
Externí odkaz:
http://arxiv.org/abs/2210.12724
Autor:
Liu, Bingyao, Zhang, Yu-Tian, Qiao, Ruixi, Shi, Ruochen, Li, Yuehui, Guo, Quanlin, Li, Jiade, Li, Xiaomei, Wang, Li, Qi, Jiajie, Du, Shixuan, Ren, Xinguo, Liu, Kaihui, Gao, Peng, Zhang, Yu-Yang
In twisted h-BN/graphene heterostructures, the complex electronic properties of the fast-traveling electron gas in graphene are usually considered to be fully revealed. However, the randomly twisted heterostructures may also have unexpected transitio
Externí odkaz:
http://arxiv.org/abs/2208.14846