Zobrazeno 1 - 10
of 148 825
pro vyhledávání: '"QIONG AN"'
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 2, Pp 12-20 (2024)
Objective: To study the antibacterial mechanism of Goji berry by network pharmacological analysis method, and to verify the antibacterial experiment in vitro. Methods: The active components and targets of Goji berries were screened out by TCMSP, an o
Externí odkaz:
https://doaj.org/article/e04c48748fb44e0592b83e4c96820934
Publikováno v:
Chinese Medicine, Vol 18, Iss 1, Pp 1-19 (2023)
Abstract Background TongFengTangSan (TFTS) is a commonly used Tibetan prescription for gout treatment. Previously, TFTS (CF) was confirmed to have a significant uric acid-lowering effect. However, the anti-hyperuricemia mechanisms and the main active
Externí odkaz:
https://doaj.org/article/e0af6345fd074ea38c9d5e032559de0b
Autor:
Wu, Qiong, Xia, Panwang, Yu, Lei, Liu, Yi, Xiong, Mingtao, Zhong, Liheng, Chen, Jingdong, Yang, Ming, Zhang, Yongjun, Wan, Yi
Cross-view geo-localization (CVGL) has been widely applied in fields such as robotic navigation and augmented reality. Existing approaches primarily use single images or fixed-view image sequences as queries, which limits perspective diversity. In co
Externí odkaz:
http://arxiv.org/abs/2412.18852
Autor:
Xie, Huidong, Gan, Weijie, Ji, Wei, Chen, Xiongchao, Alashi, Alaa, Thorn, Stephanie L., Zhou, Bo, Liu, Qiong, Xia, Menghua, Guo, Xueqi, Liu, Yi-Hwa, An, Hongyu, Kamilov, Ulugbek S., Wang, Ge, Sinusas, Albert J., Liu, Chi
Myocardial perfusion imaging using SPECT is widely utilized to diagnose coronary artery diseases, but image quality can be negatively affected in low-dose and few-view acquisition settings. Although various deep learning methods have been introduced
Externí odkaz:
http://arxiv.org/abs/2412.16573
Human preference alignment can greatly enhance Multimodal Large Language Models (MLLMs), but collecting high-quality preference data is costly. A promising solution is the self-evolution strategy, where models are iteratively trained on data they gen
Externí odkaz:
http://arxiv.org/abs/2412.15650
Transparency is commonly utilized in visualizations to overlay color-coded histograms or sets, thereby facilitating the visual comparison of categorical data. However, these charts often suffer from significant overlap between objects, resulting in s
Externí odkaz:
http://arxiv.org/abs/2412.16242
Autor:
Westcott, Lewi, Conselice, Christopher J., Harvey, Thomas, Austin, Duncan, Adams, Nathan, Ferrari, Fabricio, Ferreira, Leonardo, Trussler, James, Li, Qiong, Rusakov, Vadim, Duan, Qiao, Harris, Honor, Goolsby, Caio, Broadhurst, Thomas J., Coe, Dan, Cohen, Seth H., Driver, Simon P., D'Silva, Jordan C. J., Frye, Brenda, Grogin, Norman A., Hathi, Nimish P., Jansen, Rolf A., Koekemoer, Anton M., Marshall, Madeline A., Ortiz III, Rafael, Pirzkal, Nor, Robotham, Aaron, Ryan Jr., Russell E., Summers, Jake, Willmer, Christopher N. A., Windhorst, Rogier A., Yan, Haojing
We present a structural analysis of 521 galaxy candidates at 6.5 < z < 12.5, with $SNR > 10\sigma$ in the F444W filter, taken from the EPOCHS v1 sample, consisting of uniformly reduced deep JWST NIRCam data, covering the CEERS, JADES GOOD-S, NGDEEP,
Externí odkaz:
http://arxiv.org/abs/2412.14970
Autor:
Zhang, Beiqi, Liang, Peng, Zhou, Xin, Zhou, Xiyu, Lo, David, Feng, Qiong, Li, Zengyang, Li, Lin
Code smells are suboptimal coding practices that negatively impact the quality of software systems. Existing detection methods, relying on heuristics or Machine Learning (ML) and Deep Learning (DL) techniques, often face limitations such as unsatisfa
Externí odkaz:
http://arxiv.org/abs/2412.13801
Autor:
Gao, Dongxin, Fan, Daojin, Zha, Chen, Bei, Jiahao, Cai, Guoqing, Cai, Jianbin, Cao, Sirui, Zeng, Xiangdong, Chen, Fusheng, Chen, Jiang, Chen, Kefu, Chen, Xiawei, Chen, Xiqing, Chen, Zhe, Chen, Zhiyuan, Chen, Zihua, Chu, Wenhao, Deng, Hui, Deng, Zhibin, Ding, Pei, Ding, Xun, Ding, Zhuzhengqi, Dong, Shuai, Dong, Yupeng, Fan, Bo, Fu, Yuanhao, Gao, Song, Ge, Lei, Gong, Ming, Gui, Jiacheng, Guo, Cheng, Guo, Shaojun, Guo, Xiaoyang, He, Tan, Hong, Linyin, Hu, Yisen, Huang, He-Liang, Huo, Yong-Heng, Jiang, Tao, Jiang, Zuokai, Jin, Honghong, Leng, Yunxiang, Li, Dayu, Li, Dongdong, Li, Fangyu, Li, Jiaqi, Li, Jinjin, Li, Junyan, Li, Junyun, Li, Na, Li, Shaowei, Li, Wei, Li, Yuhuai, Li, Yuan, Liang, Futian, Liang, Xuelian, Liao, Nanxing, Lin, Jin, Lin, Weiping, Liu, Dailin, Liu, Hongxiu, Liu, Maliang, Liu, Xinyu, Liu, Xuemeng, Liu, Yancheng, Lou, Haoxin, Ma, Yuwei, Meng, Lingxin, Mou, Hao, Nan, Kailiang, Nie, Binghan, Nie, Meijuan, Ning, Jie, Niu, Le, Peng, Wenyi, Qian, Haoran, Rong, Hao, Rong, Tao, Shen, Huiyan, Shen, Qiong, Su, Hong, Su, Feifan, Sun, Chenyin, Sun, Liangchao, Sun, Tianzuo, Sun, Yingxiu, Tan, Yimeng, Tan, Jun, Tang, Longyue, Tu, Wenbing, Wan, Cai, Wang, Jiafei, Wang, Biao, Wang, Chang, Wang, Chen, Wang, Chu, Wang, Jian, Wang, Liangyuan, Wang, Rui, Wang, Shengtao, Wang, Xinzhe, Wei, Zuolin, Wei, Jiazhou, Wu, Dachao, Wu, Gang, Wu, Jin, Wu, Shengjie, Wu, Yulin, Xie, Shiyong, Xin, Lianjie, Xu, Yu, Xue, Chun, Yan, Kai, Yang, Weifeng, Yang, Xinpeng, Yang, Yang, Ye, Yangsen, Ye, Zhenping, Ying, Chong, Yu, Jiale, Yu, Qinjing, Yu, Wenhu, Zhan, Shaoyu, Zhang, Feifei, Zhang, Haibin, Zhang, Kaili, Zhang, Pan, Zhang, Wen, Zhang, Yiming, Zhang, Yongzhuo, Zhang, Lixiang, Zhao, Guming, Zhao, Peng, Zhao, Xianhe, Zhao, Xintao, Zhao, Youwei, Zhao, Zhong, Zheng, Luyuan, Zhou, Fei, Zhou, Liang, Zhou, Na, Zhou, Naibin, Zhou, Shifeng, Zhou, Shuang, Zhou, Zhengxiao, Zhu, Chengjun, Zhu, Qingling, Zou, Guihong, Zou, Haonan, Zhang, Qiang, Lu, Chao-Yang, Peng, Cheng-Zhi, Zhu, XiaoBo, Pan, Jian-Wei
In the relentless pursuit of quantum computational advantage, we present a significant advancement with the development of Zuchongzhi 3.0. This superconducting quantum computer prototype, comprising 105 qubits, achieves high operational fidelities, w
Externí odkaz:
http://arxiv.org/abs/2412.11924
Autor:
Xia, Panwang, Yu, Lei, Wan, Yi, Wu, Qiong, Chen, Peiqi, Zhong, Liheng, Yao, Yongxiang, Wei, Dong, Liu, Xinyi, Ru, Lixiang, Zhang, Yingying, Lao, Jiangwei, Chen, Jingdong, Yang, Ming, Zhang, Yongjun
Cross-View Geo-Localization tackles the problem of image geo-localization in GNSS-denied environments by matching street-view query images with geo-tagged aerial-view reference images. However, existing datasets and methods often assume center-aligne
Externí odkaz:
http://arxiv.org/abs/2412.11529