Zobrazeno 1 - 10
of 363
pro vyhledávání: '"Deng Yifan"'
Autor:
Deng Yifan, Zeng Kailiang, Wu Diancheng, Ling Yunzhi, Tian Yu, Zheng Yi, Fang Shumin, Jiang Xiaocong, Zhu Gang, Tu Yanyang
Publikováno v:
Open Medicine, Vol 18, Iss 1, Pp 346-8 (2023)
Glioma is the most common primary brain tumor. Filamin-binding LIM protein 1 (FBLIM1) has been identified in multiple cancers and is suspected of playing a part in the development of tumors. However, the potential function of FBLIM1 mRNA in glioma ha
Externí odkaz:
https://doaj.org/article/d3f09c886e0b49afb2c15bca6abef12c
Publikováno v:
电力工程技术, Vol 42, Iss 4, Pp 13-22 (2023)
Virtual power plant (VPP) is an important solution for distributed energy management of power grid. VPP′s participation in carbon emission trading can give full play to its environmental benefits and improve the overall income of VPP. Based on the
Externí odkaz:
https://doaj.org/article/b75d3c31377d4743acbc9beaa1762910
Publikováno v:
Zhongguo quanke yixue, Vol 26, Iss 06, Pp 659-664 (2023)
Background Acute myocardial infarction (AMI) can be found in some patients with normal serum lipids although abnormal lipid metabolism is a major risk of AMI. The association of AMI with two unconventional lipid parameters, namely residual lipoprotei
Externí odkaz:
https://doaj.org/article/715ffd1b424e4760a5f2495e456aec7b
Publikováno v:
电力工程技术, Vol 41, Iss 6, Pp 39-49 (2022)
The virtual power plant (VPP) aggregates distributed energy resources (DERs) from the distribution network,which not only improves the response capability of aggregated resources,but also participates in electrical market to improve resource schedula
Externí odkaz:
https://doaj.org/article/75f2a1e42aa04c6d9a5123218d145564
Publikováno v:
Zhejiang dianli, Vol 41, Iss 6, Pp 8-14 (2022)
By aggregating the scattered dispatchable resources in power grids through dispatchable resource aggregation technology， coordination and control technology， and power market trading technology， virtual power plants （VPPs） have brought abou
Externí odkaz:
https://doaj.org/article/7a4de83b3afb496fae12050d0aa2d6a2
This study introduces Purrfessor, an innovative AI chatbot designed to provide personalized dietary guidance through interactive, multimodal engagement. Leveraging the Large Language-and-Vision Assistant (LLaVA) model fine-tuned with food and nutriti
Externí odkaz:
http://arxiv.org/abs/2411.14925
Purpose: With the development of spectral CT, several novel spectral filters have been introduced to modulate the spectra, such as split filters and spectral modulators. However, due to the finite size of the focal spot of X-ray source, these filters
Externí odkaz:
http://arxiv.org/abs/2411.01543
The development of large language models and multi-modal models has enabled the appealing idea of generating novel molecules from text descriptions. Generative modeling would shift the paradigm from relying on large-scale chemical screening to find m
Externí odkaz:
http://arxiv.org/abs/2410.20182
Autor:
Liu, Xiaohong, Min, Xiongkuo, Zhai, Guangtao, Li, Chunyi, Kou, Tengchuan, Sun, Wei, Wu, Haoning, Gao, Yixuan, Cao, Yuqin, Zhang, Zicheng, Wu, Xiele, Timofte, Radu, Peng, Fei, Fu, Huiyuan, Ming, Anlong, Wang, Chuanming, Ma, Huadong, He, Shuai, Dou, Zifei, Chen, Shu, Zhang, Huacong, Xie, Haiyi, Wang, Chengwei, Chen, Baoying, Zeng, Jishen, Yang, Jianquan, Wang, Weigang, Fang, Xi, Lv, Xiaoxin, Yan, Jun, Zhi, Tianwu, Zhang, Yabin, Li, Yaohui, Li, Yang, Xu, Jingwen, Liu, Jianzhao, Liao, Yiting, Li, Junlin, Yu, Zihao, Lu, Yiting, Li, Xin, Motamednia, Hossein, Hosseini-Benvidi, S. Farhad, Guan, Fengbin, Mahmoudi-Aznaveh, Ahmad, Mansouri, Azadeh, Gankhuyag, Ganzorig, Yoon, Kihwan, Xu, Yifang, Fan, Haotian, Kong, Fangyuan, Zhao, Shiling, Dong, Weifeng, Yin, Haibing, Zhu, Li, Wang, Zhiling, Huang, Bingchen, Saha, Avinab, Mishra, Sandeep, Gupta, Shashank, Sureddi, Rajesh, Saha, Oindrila, Celona, Luigi, Bianco, Simone, Napoletano, Paolo, Schettini, Raimondo, Yang, Junfeng, Fu, Jing, Zhang, Wei, Cao, Wenzhi, Liu, Limei, Peng, Han, Yuan, Weijun, Li, Zhan, Cheng, Yihang, Deng, Yifan, Li, Haohui, Qu, Bowen, Li, Yao, Luo, Shuqing, Wang, Shunzhou, Gao, Wei, Lu, Zihao, Conde, Marcos V., Wang, Xinrui, Chen, Zhibo, Liao, Ruling, Ye, Yan, Wang, Qiulin, Li, Bing, Zhou, Zhaokun, Geng, Miao, Chen, Rui, Tao, Xin, Liang, Xiaoyu, Sun, Shangkun, Ma, Xingyuan, Li, Jiaze, Yang, Mengduo, Xu, Haoran, Zhou, Jie, Zhu, Shiding, Yu, Bohan, Chen, Pengfei, Xu, Xinrui, Shen, Jiabin, Duan, Zhichao, Asadi, Erfan, Liu, Jiahe, Yan, Qi, Qu, Youran, Zeng, Xiaohui, Wang, Lele, Liao, Renjie
This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2024. This challenge is to address a major
Externí odkaz:
http://arxiv.org/abs/2404.16687
Autor:
Zhang, Ruochi, Wu, Haoran, Liu, Chang, Li, Huaping, Wu, Yuqian, Li, Kewei, Wang, Yifan, Deng, Yifan, Chen, Jiahui, Zhou, Fengfeng, Gao, Xin
Recent advances in protein language models have catalyzed significant progress in peptide sequence representation. Despite extensive exploration in this field, pre-trained models tailored for peptide-specific needs remain largely unaddressed due to t
Externí odkaz:
http://arxiv.org/abs/2401.11360