Zobrazeno 1 - 10
of 290
pro vyhledávání: '"Shuai Hong"'
Autor:
Shuai Hong, Zhuoqun Wang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Compassion fatigue is a prevalent challenge experienced by helping professionals, influencing both their personal well-being and the quality of services they deliver. While the beneficial impact of expertise in counseling on alleviating comp
Externí odkaz:
https://doaj.org/article/071f3a2bd970467e902069b60e2cf4bd
Autor:
Shuai Hong, Zahyah Hanafi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract University students are highly vulnerable to experiencing academic burnout due to various pressures, necessitating an exploration of its causes and effects. Time perspective theory emphasizes how individuals' perspectives of past, present, a
Externí odkaz:
https://doaj.org/article/b4725915b3a742c5bee153a36193dac7
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103953- (2024)
Many current urban waterlogging emergency scenario constructions overlook the factors that influence users’ concerns, rendering the resulting scenarios less adaptable to various user types and hindering efficient comprehension of waterlogging risks
Externí odkaz:
https://doaj.org/article/fcd7c56f0cc543dd8719ba6ba9d9d308
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 1491-1509 (2023)
Most of the existing virtual scenarios built for the digital protection of Chinese classical private gardens are too modern in expression style to show the aesthetic significance of their historical period. Considering the aesthetic commonality betwe
Externí odkaz:
https://doaj.org/article/c221f6b8ddd347f0a276fcaa0c327c2a
Research on quantitative evaluation of digital economy policy in China based on the PMC index model.
Publikováno v:
PLoS ONE, Vol 19, Iss 2, p e0298312 (2024)
The development of digital economy is a strategic choice to grasp the revolution of new science and technology and the new opportunities of industrial reform. The development of digital economy depends on the good support of policy and theoretical sy
Externí odkaz:
https://doaj.org/article/a4fd7f9c580e4ce9aa4976abdd580990
This paper analyzes the impact of causal manner in the text encoder of text-to-image (T2I) diffusion models, which can lead to information bias and loss. Previous works have focused on addressing the issues through the denoising process. However, the
Externí odkaz:
http://arxiv.org/abs/2410.00321
Text-to-scene generation, transforming textual descriptions into detailed scenes, typically relies on generating key scenarios along predetermined paths, constraining environmental diversity and limiting customization flexibility. To address these li
Externí odkaz:
http://arxiv.org/abs/2409.09575
Autor:
Weike Gao, Luan Li, Xinyin Han, Siyao Liu, Chengzhen Li, Guanying Yu, Lei Zhang, Dongsheng Zhang, Caiyun Liu, Erhong Meng, Shuai Hong, Dongliang Wang, Peiming Guo, Guangjun Shi
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-16 (2021)
Abstract Background The mortality rate of hepatocellular carcinoma (HCC) remains high worldwide despite surgery and chemotherapy. Immunotherapy is a promising treatment for the rapidly expanding HCC spectrum. Therefore, it is necessary to further exp
Externí odkaz:
https://doaj.org/article/b2c7c6c8e32f4f8fb745749f2be82d17
Autor:
Jiang-Lin, Jian-Yu, Huang, Kang-Yang, Lo, Ling, Huang, Yi-Ning, Lin, Terence, Wu, Jhih-Ciang, Shuai, Hong-Han, Cheng, Wen-Huang
Diffusion models revolutionize image generation by leveraging natural language to guide the creation of multimedia content. Despite significant advancements in such generative models, challenges persist in depicting detailed human-object interactions
Externí odkaz:
http://arxiv.org/abs/2407.17911
Autor:
Yao, Yi, Hsu, Chan-Feng, Lin, Jhe-Hao, Xie, Hongxia, Lin, Terence, Huang, Yi-Ning, Shuai, Hong-Han, Cheng, Wen-Huang
In spite of recent advancements in text-to-image generation, limitations persist in handling complex and imaginative prompts due to the restricted diversity and complexity of training data. This work explores how diffusion models can generate images
Externí odkaz:
http://arxiv.org/abs/2407.12579