Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Xinzhou Xu"'
Autor:
Wenkai Han, Ningning Chen, Xinzhou Xu, Adil Sahil, Juexiao Zhou, Zhongxiao Li, Huawen Zhong, Elva Gao, Ruochi Zhang, Yu Wang, Shiwei Sun, Peter Pak-Hang Cheung, Xin Gao
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract The relentless evolution of SARS-CoV-2 poses a significant threat to public health, as it adapts to immune pressure from vaccines and natural infections. Gaining insights into potential antigenic changes is critical but challenging due to th
Externí odkaz:
https://doaj.org/article/8ad8dabc45b5410b92bc347c1258b550
Autor:
Meihui Chen, Rebecca W Y Chan, Peter P H Cheung, Meng Ni, Danny K L Wong, Ze Zhou, Mary-Jane L Ma, Liangbo Huang, Xinzhou Xu, Wing-Shan Lee, Guangya Wang, Kathy O Lui, W K Jacky Lam, Jeremy Y C Teoh, Chi-Fai Ng, Peiyong Jiang, K C Allen Chan, Rossa W K Chiu, Y M Dennis Lo
Publikováno v:
PLoS Genetics, Vol 18, Iss 7, p e1010262 (2022)
Urinary cell-free DNA (ucfDNA) is a potential biomarker for bladder cancer detection. However, the biological characteristics of ucfDNA are not well understood. We explored the roles of deoxyribonuclease 1 (DNASE1) and deoxyribonuclease 1-like 3 (DNA
Externí odkaz:
https://doaj.org/article/d9987df5b47d4a6084458cedce82ae43
Publikováno v:
BMJ Open, Vol 12, Iss 4 (2022)
Objectives To analyse the current curative expenditure (CCE) of NCDs in China from 2017 to 2019.Design A cross-sectional study. Medical institutions were collected by multistage stratified random sampling from 2017 to 2019.Setting Dalian, ChinaPartic
Externí odkaz:
https://doaj.org/article/de24e0e27119425881a026099f8a1a6a
Autor:
Yuqing Wang, Tin Hang Chong, Ilona Unarta, Xinzhou Xu, Gianmarco Suarez, Jiguang Wang, John Lis, Xuhui Huang, Peter Cheung
Publikováno v:
Bio-Protocol, Vol 11, Iss 4 (2021)
Transcription errors can substantially affect metabolic processes in organisms by altering the epigenome and causing misincorporations in mRNA, which is translated into aberrant mutant proteins. Moreover, within eukaryotic genomes there are specific
Externí odkaz:
https://doaj.org/article/4e29bf4df80041d480048157e6dadfd3
Publikováno v:
IEEE Access, Vol 6, Pp 22196-22209 (2018)
One of the major obstacles that has to be faced when applying automatic emotion recognition to realistic human-machine interaction systems is the scarcity of labeled data for training a robust model. Motivated by this concern, this paper seeks to utm
Externí odkaz:
https://doaj.org/article/26435262f887413e96cb84e8c2cb2636
Publikováno v:
IEEE Access, Vol 4, Pp 4299-4309 (2016)
Features for speech emotion recognition are usually dominated by the spectral magnitude information while they ignore the use of the phase spectrum because of the difficulty of properly interpreting it. Motivated by recent successes of phase-based fe
Externí odkaz:
https://doaj.org/article/e7382bf5e5d54e288143e55e17afff77
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 14:1564-1573
Speech Emotion Recognition (SER) aims to endow machines with the intelligence in perceiving latent affective components from speech. However, the existing works on deep-learning-based SER make it difficult to jointly consider time-frequency and seque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a3f898fa3c267884a7e57f2e995b56e
https://doi.org/10.1109/tcds.2021.3123979
https://doi.org/10.1109/tcds.2021.3123979
Autor:
Xinzhou Xu, Jun Deng, Zixing Zhang, Xijian Fan, Li Zhao, Laurence Devillers, Bjorn W. Schuller
Publikováno v:
IEEE Transactions on Computational Social Systems. 9:1530-1541
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1371bb927e678f2eef06a1cd1a2fb10
https://doi.org/10.1109/tcss.2021.3130401
https://doi.org/10.1109/tcss.2021.3130401
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6d59abc7cdf7661031ee9bc8ef8eb86
https://doi.org/10.1109/icassp49357.2023.10094888
https://doi.org/10.1109/icassp49357.2023.10094888
Publikováno v:
Electronics; Volume 12; Issue 2; Pages: 328
As a common mental disorder, depression becomes a major threat to human health and may even heavily influence one’s daily life. Considering this background, it is necessary to investigate strategies for automatically detecting depression, especiall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dac9eea0ba4911f6967df7ede43a8e8