Zobrazeno 1 - 10
of 610 139
pro vyhledávání: '"An Xiong"'
Autor:
Yazi Li, Xiaoman Wei, Qinglin Yang, An Xiong, Xingfeng Li, Quan Zou, Feifei Cui, Zilong Zhang
Publikováno v:
BMC Biology, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background A promoter is a specific sequence in DNA that has transcriptional regulatory functions, playing a role in initiating gene expression. Identifying promoters and their strengths can provide valuable information related to human dise
Externí odkaz:
https://doaj.org/article/ea58e04e20d94c468afef244f8b8c8c5
Autor:
Fei Teng, Dong Fu, Chen-Cheng Shi, An Xiong, Meng-Xuan Yang, Chang Su, Ming Lei, Yi-Ou Cao, Xiao-Dong Shen, Yi Chen, Pu-Hua Wang, Shao-Qun Liu
Publikováno v:
Materials Today Bio, Vol 25, Iss , Pp 100984- (2024)
Blunting the tumor's stress-sensing ability is an effective strategy for controlling tumor adaptive survival and metastasis. Here, we have designed a cyclically amplified nano-energy interference device based on lipid nanoparticles (LNP), focused on
Externí odkaz:
https://doaj.org/article/534ff562690d4fa084c829588f92d43a
Autor:
An Xiong, Haibo Li, Miaoying Lin, Feng Xu, Xuedi Xia, Dexing Dai, Ruoman Sun, Yali Ling, Lei Qiu, Rui Wang, Ya Ding, Zhongjian Xie
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
BackgroundElderly people are at high risk of falls due to decreased muscle strength. So far, there is currently no officially approved medication for treating muscle strength loss. The active vitamin D analogues are promising but inconsistent results
Externí odkaz:
https://doaj.org/article/93d0ea05ff7f4857a9ea543daa6dda61
Recent studies in text-to-image customization show great success in generating personalized object variants given several images of a subject. While existing methods focus more on preserving the identity of the subject, they often fall short of contr
Externí odkaz:
http://arxiv.org/abs/2409.08520
Targeted community detection aims to distinguish a particular type of community in the network. This is an important task with a lot of real-world applications, e.g., identifying fraud groups in transaction networks. Traditional community detection m
Externí odkaz:
http://arxiv.org/abs/2408.07369
Humanoid robots, with the potential to perform a broad range of tasks in environments designed for humans, have been deemed crucial for the basis of general AI agents. When talking about planning and controlling, although traditional models and task-
Externí odkaz:
http://arxiv.org/abs/2409.18361
Autor:
Sun, Tian-Rui, Geng, Jin-Jun, Yan, Jing-Zhi, Hu, You-Dong, Wu, Xue-Feng, Castro-Tirado, Alberto J., Yang, Chao, Ping, Yi-Ding, Hu, Chen-Ran, Xu, Fan, Gao, Hao-Xuan, Jiang, Ji-An, Zhu, Yan-Tian, Xue, Yongquan, Pérez-García, Ignacio, Wu, Si-Yu, Fernández-García, Emilio, Caballero-García, María D., Sánchez-Ramírez, Rubén, Guziy, Sergiy, Olivares, Ignacio, del Pulgar, Carlos Jesus Pérez, Castellón, A., Castillo, Sebastián, Xiong, Ding-Rong, Pandey, Shashi B., Hiriart, David, García-Segura, Guillermo, Lee, William H., Carrasco-García, I. M., Park, Il H., Meintjes, Petrus J., van Heerden, Hendrik J., Martín-Carrillo, Antonio, Hanlon, Lorraine, Zhang, Bin-Bin, Maury, Alain, Hernández-García, L., Gritsevich, Maria, Rossi, Andrea, Maiorano, Elisabetta, Cusano, Felice, D'Avanzo, Paolo, Ferro, Matteo, Melandri, Andrea, De Pasquale, Massimiliano, Brivio, Riccardo, Fang, Min, Fan, Lu-Lu, Hu, Wei-Da, Wan, Zhen, Hu, Lei, Zuo, Ying-Xi, Tang, Jin-Long, Zhang, Xiao-Ling, Zheng, Xian-Zhong, Li, Bin, Luo, Wen-Tao, Liu, Wei, Wang, Jian, Zhang, Hong-Fei, Liu, Hao, Gao, Jie, Liang, Ming, Wang, Hai-Ren, Yao, Da-Zhi, Cheng, Jing-Quan, Zhao, Wen, Dai, Zi-Gao
Thanks to the rapidly increasing time-domain facilities, we are entering a golden era of research on gamma-ray bursts (GRBs). In this Letter, we report our observations of GRB 240529A with the Burst Optical Observer and Transient Exploring System, th
Externí odkaz:
http://arxiv.org/abs/2409.17983
Autor:
Yang, Huan, Chen, Jiahui, Ding, Chaofan, Shi, Runhua, Xiong, Siyu, Hong, Qingqi, Mo, Xiaoqi, Di, Xinhan
Gestures are pivotal in enhancing co-speech communication. While recent works have mostly focused on point-level motion transformation or fully supervised motion representations through data-driven approaches, we explore the representation of gesture
Externí odkaz:
http://arxiv.org/abs/2409.17674
Contextual-LAS (CLAS) has been shown effective in improving Automatic Speech Recognition (ASR) of rare words. It relies on phrase-level contextual modeling and attention-based relevance scoring without explicit contextual constraint which lead to ins
Externí odkaz:
http://arxiv.org/abs/2409.17603
Autor:
Li, Shen, Xu, Jianqing, Wu, Jiaying, Xiong, Miao, Deng, Ailin, Ji, Jiazhen, Huang, Yuge, Feng, Wenjie, Ding, Shouhong, Hooi, Bryan
Synthetic face recognition (SFR) aims to generate synthetic face datasets that mimic the distribution of real face data, which allows for training face recognition models in a privacy-preserving manner. Despite the remarkable potential of diffusion m
Externí odkaz:
http://arxiv.org/abs/2409.17576