Zobrazeno 1 - 10
of 331
pro vyhledávání: '"Liu Dongxin"'
Unveiling a crystal's entropy of disorder via electron diffraction. A statistical mechanics approach
Autor:
Liu, Dongxin, Elishav, Oren, Fu, Jiarui, Sakakibara, Masaya, Yamanouchi, Kaoru, Hirshberg, Barak, Nakamuro, Takayuki, Nakamura, Eiichi
Upon melting, the molecules in the crystal explore numerous configurations, reflecting an increase in disorder. The molar entropy of disorder can be defined by Bolzmann's formula dSd = Rln(Wd) where Wd is the increase in the number of microscopic sta
Externí odkaz:
http://arxiv.org/abs/2402.04738
Autor:
Liu, Shengzhong, Kimura, Tomoyoshi, Liu, Dongxin, Wang, Ruijie, Li, Jinyang, Diggavi, Suhas, Srivastava, Mani, Abdelzaher, Tarek
This paper proposes a novel contrastive learning framework, called FOCAL, for extracting comprehensive features from multimodal time-series sensing signals through self-supervised training. Existing multimodal contrastive frameworks mostly rely on th
Externí odkaz:
http://arxiv.org/abs/2310.20071
Autor:
Yi Wang, Yan Wang, Lu Zhang, Machao Li, Lijuan Luo, Liu Dongxin, Hua Li, Xiaolong Cao, Shoukui Hu, Dong Jin, Jianguo Xu, Changyun Ye
Publikováno v:
Frontiers in Microbiology, Vol 7 (2016)
The article reported a novel methodology for real-time PCR analysis of nucleic acids, termed endonuclease restriction-mediated real-time polymerase chain reaction (ET-PCR). Just like PCR, ET-PCR only required one pair of primers. A short sequence (Ss
Externí odkaz:
https://doaj.org/article/61c4e0057a9c4ca293391fd56bd9fb3c
Autor:
He, Wencong, Tan, Yunhong, Song, Zexuan, Liu, Binbin, Xia, Hui, Zheng, Huiwen, Liu, Dongxin, Liu, Chunfa, He, Ping, Wang, Yiting, Zhao, Zeyuan, Ou, Xichao, Wang, Shengfen, Guo, Jingwei, Zhao, Yanlin
Publikováno v:
In International Journal of Infectious Diseases October 2024 147
Publikováno v:
In Journal of Materials Science & Technology 10 February 2025 208:26-37
This paper presents a semi-supervised learning framework that is new in being designed for automatic modulation classification (AMC). By carefully utilizing unlabeled signal data with a self-supervised contrastive-learning pre-training step, our fram
Externí odkaz:
http://arxiv.org/abs/2203.15932
The distributed non-smooth resource allocation problem over multi-agent networks is studied in this paper, where each agent is subject to globally coupled network resource constraints and local feasibility constraints described in terms of general co
Externí odkaz:
http://arxiv.org/abs/2203.05304
In this paper, the distributed resource allocation problem on strongly connected and weight-balanced digraphs is investigated, where the decisions of each agent are restricted to satisfy the coupled network resource constraints and heterogeneous gene
Externí odkaz:
http://arxiv.org/abs/2203.04783
Autor:
Liu, Dongxin, Kowashi, Satori, Nakamuro, Takayuki, Lungerich, Dominik, Yamanouchi, Kaoru, Harano, Koji, Nakamura, Eiichi
There is increasing attention to chemical applications of transmission electron microscopy, which is often plagued by radiation damage. The damage in organic matter predominantly occurs via ionization (radiolysis). Although radiolysis is highly impor
Externí odkaz:
http://arxiv.org/abs/2110.02530
Autor:
Liu, Dongxin, Zhao, Bing, Zheng, Yang, Ou, Xichao, Wang, Shengfen, Zhou, Yang, Song, Yuanyuan, Xia, Hui, Wei, Qiang, Zhao, YanLin
Publikováno v:
In Infectious Medicine September 2024 3(3)