Zobrazeno 1 - 10
of 947
pro vyhledávání: '"Wang Ruijie"'
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 01, Pp 45-50 (2024)
Background Hearing impairment and tooth loss are common among the elderly and seriously endanger their physical and mental health. However, there are limited studies on the correlation of tooth loss, denture use with hearing impairment in the elderly
Externí odkaz:
https://doaj.org/article/dc607c9be04741e4951d3f572207de43
Autor:
Xiao Zhiwen, Deng Shengming, Liu He, Wang Ruijie, Liu Yu, Dai Zhengjie, Gu Wenchao, Ni Quanxing, Yu Xianjun, Liu Chen, Luo Guopei
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 55, Pp 1288-1300 (2023)
Ferroptosis is a type of programmed cell death closely related to amino acid metabolism. Pancreatic cancer cells have a strong dependence on glutamine, which serves as a carbon and nitrogen substrate to sustain rapid growth. Glutamine also aids in se
Externí odkaz:
https://doaj.org/article/fca0a7f61c974a828b65f9344a15d9ff
Autor:
Jia Zhao, Wen Huiyun, Huang Saipeng, Luo Yane, Gao Juanjuan, Wang Ruijie, Wan Kaikai, Xue Weiming
Publikováno v:
Heterocyclic Communications, Vol 28, Iss 1, Pp 18-25 (2022)
This study fast synthesizes numerous functionalized pyridoxines using click chemistry and assayed in vitro as inhibitors of the acetylcholinesterase (AChE), butyrylcholinesterase, and two monoamine oxidase (MAO) isoforms, MAO-A and MAO-B. Most of the
Externí odkaz:
https://doaj.org/article/51baa16d01fa41c1b760289b9c1f85c1
Autor:
Zhou, Jianing, Li, Han, Zhang, Shuai, Xie, Ning, Wang, Ruijie, Nie, Xiaohan, Liu, Sheng, Wang, Lingyun
Handling lengthy context is crucial for enhancing the recognition and understanding capabilities of multimodal large language models (MLLMs) in applications such as processing high-resolution images or high frame rate videos. The rise in image resolu
Externí odkaz:
http://arxiv.org/abs/2411.08840
Autor:
Sun, Dachun, Wang, Ruijie, Li, Jinning, Han, Ruipeng, Liu, Xinyi, Lyu, You, Abdelzaher, Tarek
This paper addresses the problem of optimizing the allocation of labeling resources for semi-supervised belief representation learning in social networks. The objective is to strategically identify valuable messages on social media graphs that are wo
Externí odkaz:
http://arxiv.org/abs/2410.19176
Autor:
Kimura, Tomoyoshi, Li, Jinyang, Wang, Tianshi, Kara, Denizhan, Chen, Yizhuo, Hu, Yigong, Wang, Ruijie, Wigness, Maggie, Liu, Shengzhong, Srivastava, Mani, Diggavi, Suhas, Abdelzaher, Tarek
This paper demonstrates the potential of vibration-based Foundation Models (FMs), pre-trained with unlabeled sensing data, to improve the robustness of run-time inference in (a class of) IoT applications. A case study is presented featuring a vehicle
Externí odkaz:
http://arxiv.org/abs/2404.02461
In recent years, the DBLP computer science bibliography has been prominently used for searching scholarly information, such as publications, scholars, and venues. However, its current search service lacks the capability to handle complex queries, whi
Externí odkaz:
http://arxiv.org/abs/2403.08475
The ever-expanding scale of integrated circuits has brought about a significant rise in the design risks associated with radiation-resistant integrated circuit chips. Traditional single-particle experimental methods, with their iterative design appro
Externí odkaz:
http://arxiv.org/abs/2402.17489
Autor:
Wang, Tianshi, Li, Jinyang, Wang, Ruijie, Kara, Denizhan, Liu, Shengzhong, Wertheimer, Davis, Viros-i-Martin, Antoni, Ganti, Raghu, Srivatsa, Mudhakar, Abdelzaher, Tarek
This paper introduces SudokuSens, a generative framework for automated generation of training data in machine-learning-based Internet-of-Things (IoT) applications, such that the generated synthetic data mimic experimental configurations not encounter
Externí odkaz:
http://arxiv.org/abs/2402.02275
Most current methods for multi-hop question answering (QA) over knowledge graphs (KGs) only provide final conclusive answers without explanations, such as a set of KG entities that is difficult for normal users to review and comprehend. This issue se
Externí odkaz:
http://arxiv.org/abs/2312.02317