Zobrazeno 1 - 10
of 37 938
pro vyhledávání: '"Wenyu An"'
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Alveolar soft part sarcoma (ASPS) occurs most often in the deep muscles or fascia of the extremities in adults, with only 3.4% of these tumours originating from the head, face and neck. To date, only 17 cases of buccal ASPS have b
Externí odkaz:
https://doaj.org/article/f9e72ade176540408957fd63074390fb
Censored survival data are common in clinical trials, but small control groups can pose challenges, particularly in rare diseases or where balanced randomization is impractical. Recent approaches leverage external controls from historical studies or
Externí odkaz:
http://arxiv.org/abs/2410.18409
Autor:
Yang, Dongting, Liu, HongLi, Liu, Tie, Tej, Anandmayee, Liu, Xunchuan, He, Jinhua, Garay, Guido, Stutz, Amelia, Zhu, Lei, Qin, Sheng-Li, Xu, Fengwei, Li, Pak-Shing, Juvela, Mika, Garcia, Pablo, Goldsmith, Paul F., Zhang, Siju, Tang, Xindi, Sanhueza, Patricio, Li, Shanghuo, Lee, Chang Won, Das, Swagat Ranjan, Jiao, Wenyu, Mai, Xiaofeng, Gorai, Prasanta, Zhang, Yichen, Ren, Zhiyuan, Toth, L. Viktor, Hwang, Jihye, Bronfman, Leonardo, Tatematsu, Kenichi, Dewangan, Lokesh, Chibueze, James O., Zhang, Suinan, Wu, Gang, Xie, Jinjin
In this paper, we present a detailed analysis of the IRS 17 filament within the intermediate-mass protocluster IRAS 08448-4343 (of $\sim\,10^3\,\rm L_{\odot}$), using ALMA data from the ATOMS 3-mm and QUARKS 1.3-mm surveys. The IRS 17 filament, which
Externí odkaz:
http://arxiv.org/abs/2410.15333
Diffusion Transformers (DiT) have attracted significant attention in research. However, they suffer from a slow convergence rate. In this paper, we aim to accelerate DiT training without any architectural modification. We identify the following issue
Externí odkaz:
http://arxiv.org/abs/2410.10356
Remote sensing image change detection (RSCD) is crucial for monitoring dynamic surface changes, with applications ranging from environmental monitoring to disaster assessment. While traditional CNN-based methods have improved detection accuracy, they
Externí odkaz:
http://arxiv.org/abs/2410.11580
Autor:
Huang, Wenyu, Zhou, Guancheng, Wang, Hongru, Vougiouklis, Pavlos, Lapata, Mirella, Pan, Jeff Z.
Retrieval-Augmented Generation (RAG) is widely used to inject external non-parametric knowledge into large language models (LLMs). Recent works suggest that Knowledge Graphs (KGs) contain valuable external knowledge for LLMs. Retrieving information f
Externí odkaz:
http://arxiv.org/abs/2410.06121
Although numerous studies report significant sex differences in functional connectivity, these differences do not sufficient to reveal specific functional disparities among brain regions or the topological differences in brain networks. Meanwhile, in
Externí odkaz:
http://arxiv.org/abs/2410.05923
This paper presents the T031 team's approach to the StutteringSpeech Challenge in SLT2024. Mandarin Stuttering Event Detection (MSED) aims to detect instances of stuttering events in Mandarin speech. We propose a detailed acoustic analysis method to
Externí odkaz:
http://arxiv.org/abs/2410.05647
Autor:
Li, Zongming, Cheng, Tianheng, Chen, Shoufa, Sun, Peize, Shen, Haocheng, Ran, Longjin, Chen, Xiaoxin, Liu, Wenyu, Wang, Xinggang
Autoregressive (AR) models have reformulated image generation as next-token prediction, demonstrating remarkable potential and emerging as strong competitors to diffusion models. However, control-to-image generation, akin to ControlNet, remains large
Externí odkaz:
http://arxiv.org/abs/2410.02705
Autor:
Wang, Wei, Song, Ruobing, Wu, Yunxiao, Zheng, Li, Zhang, Wenyu, Chen, Zhaoxi, Li, Gang, Xu, Zhifei
Study Objectives: To evaluate the agreement between the millimeter-wave radar-based device and polysomnography (PSG) in diagnosis of obstructive sleep apnea (OSA) and classification of sleep stage in children. Methods: 281 children, aged 1 to 18 year
Externí odkaz:
http://arxiv.org/abs/2409.19276