Zobrazeno 1 - 10
of 2 761
pro vyhledávání: '"Shen Han"'
Autor:
Shen Han
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 2, Pp 2525-2538 (2023)
To better understand the research on how to improve the exercise of the college body aerobics curriculum, a method based on the equality of the half. By using the conditions in the theory of the difference between the variables to solve the selection
Externí odkaz:
https://doaj.org/article/fb89117975e8416ebcbedd5c1ab09329
Autor:
Airan Li, Madison K. Brod, Yuechu Wang, Kejun Hu, Pengfei Nan, Shen Han, Ziheng Gao, Xinbing Zhao, Binghui Ge, Chenguang Fu, Shashwat Anand, G. Jeffrey Snyder, Tiejun Zhu
Publikováno v:
Advanced Science, Vol 10, Iss 23, Pp n/a-n/a (2023)
Abstract Half‐Heusler compounds with semiconducting behavior have been developed as high‐performance thermoelectric materials for power generation. Many half‐Heusler compounds also exhibit metallic behavior without a bandgap and thus inferior t
Externí odkaz:
https://doaj.org/article/d994bf8e68914b82b0798d2c9da2bff7
Autor:
Shen Han, Richard da Costa Marques, Johanna Simon, Anke Kaltbeitzel, Kaloian Koynov, Katharina Landfester, Volker Mailänder, Ingo Lieberwirth
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Protein corona formation on nanoparticles and the resultant effects on cellular interactions is well documented, where less is known about the fate of the corona in the cell. Here, the authors track the protein corona and nanoparticles in cells and d
Externí odkaz:
https://doaj.org/article/a5c6673b1d624b8daf43846a58c4f015
Publikováno v:
Guangtongxin yanjiu, Pp 42-46 (2022)
Aiming at the problems that most polarization-independent optical power splitters have complex structure and high loss, a polarization-independent 1×2 power splitter based on Si/SiNx double-layer waveguide is designed in this paper, which is used fo
Externí odkaz:
https://doaj.org/article/83c703a4e579443a95e25021d43e2c8d
Autor:
Tao Xiong, Yan Chen, Shen Han, Tian-Chen Zhang, Lei Pu, Yu-Xin Fan, Wei-Chen Fan, Ya-Yong Zhang, Ya-Xiong Li
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
BackgroundAlthough advanced surgical and interventional treatments are available for advanced aortic valve calcification (AVC) with severe clinical symptoms, early diagnosis, and intervention is critical in order to reduce calcification progression a
Externí odkaz:
https://doaj.org/article/8f5a4f931f864c95aeea43574c8b4106
Fine-tuning on task-specific data to boost downstream performance is a crucial step for leveraging Large Language Models (LLMs). However, previous studies have demonstrated that fine-tuning the models on several adversarial samples or even benign dat
Externí odkaz:
http://arxiv.org/abs/2410.07471
Federated learning (FL) has rapidly evolved as a promising paradigm that enables collaborative model training across distributed participants without exchanging their local data. Despite its broad applications in fields such as computer vision, graph
Externí odkaz:
http://arxiv.org/abs/2409.11509
Autor:
Wenxiang Liu, Xiaohua Deng, Shen Han, Xi Chen, Xun Li, Abulimiti Aibai, Yanshuang Wu, Yong Wang, Wei Shan, Zengsheng Li, Yanjing Chen
Publikováno v:
Minerals, Vol 13, Iss 4, p 534 (2023)
The process and mechanism of gold mineralization are frontier issues. The Dunbasitao deposit is the most important gold deposit discovered along the Armantai suture zone, East Junggar, NW China, which indicates the potential for future ore exploratio
Externí odkaz:
https://doaj.org/article/cfe1bda0f7f445939b456fed205e22d3
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
AimThe purpose of this study was to identify potential diagnostic markers for aortic valve calcification (AVC) and to investigate the function of immune cell infiltration in this disease.MethodsThe AVC data sets were obtained from the Gene Expression
Externí odkaz:
https://doaj.org/article/a81694d9199e403cae6fffa8369c8af6
Feature grid Scene Representation Networks (SRNs) have been applied to scientific data as compact functional surrogates for analysis and visualization. As SRNs are black-box lossy data representations, assessing the prediction quality is critical for
Externí odkaz:
http://arxiv.org/abs/2407.19082