Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Hongwu Yang"'
Publikováno v:
Food Chemistry: X, Vol 23, Iss , Pp 101616- (2024)
In this study, active and intelligent films were fabricated using M. esculenta starch (MES), gum ghatti (GG) and R. nigrum extract (RNE) and their functionality, physicochemical properties and practical application were assessed. Incorporation of GG
Externí odkaz:
https://doaj.org/article/2c74faa7ad454c5ba82dbf4c9f1d2907
Autor:
Zhaoyue Yang, Tianbo Liu, Jianqiang Fan, Yiqiang Chen, Shaolong Wu, Jingjing Li, Zhenghua Liu, Zhendong Yang, Liangzhi Li, Suoni Liu, Hongwu Yang, Huaqun Yin, Delong Meng, Qianjun Tang
Publikováno v:
Environmental Science and Ecotechnology, Vol 21, Iss , Pp 100431- (2024)
The pathogen Pseudomonas syringae, responsible for a variety of diseases, poses a considerable threat to global crop yields. Emerging biocontrol strategies employ antagonistic microorganisms, utilizing phyllosphere microecology and systemic resistanc
Externí odkaz:
https://doaj.org/article/adc3a7f41a104905b8986cab2c29ead2
Autor:
GengPeng Lian, Yubin Xiao, Yingling Huang, Huanpeng Wang, Lipeng Huang, Hongwu Yang, Chunmin Zhu, Wei Mei, Ruibin Huang
Publikováno v:
BMC Research Notes, Vol 17, Iss 1, Pp 1-10 (2024)
Abstract Background Communication skills (CS) represent a core competency in radiology residency training. However, no structured curriculum exists to train radiology residents in CS in China. The aim of this study was to evaluate the status and prev
Externí odkaz:
https://doaj.org/article/ffa4bbff454f46ccb7b1cfa02468882d
Autor:
Xiaofang Wang, Shuo Wang, Mingcong Huang, Yilin He, Saisai Guo, Keming Yang, Ningqi Wang, Tianyu Sun, Hongwu Yang, Tianjie Yang, Yangchun Xu, Qirong Shen, Ville-Petri Friman, Zhong Wei
Publikováno v:
mBio, Vol 15, Iss 6 (2024)
ABSTRACT Bacteriophages, viruses that specifically target plant pathogenic bacteria, have emerged as a promising alternative to traditional agrochemicals. However, it remains unclear how phages should be applied to achieve efficient pathogen biocontr
Externí odkaz:
https://doaj.org/article/4bfdb88e85e540428193d3152ddfca94
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6336 (2024)
This article presents a transfer-learning-based method to improve the synthesized speech quality of the low-resource Dungan language. This improvement is accomplished by fine-tuning a pre-trained Mandarin acoustic model to a Dungan language acoustic
Externí odkaz:
https://doaj.org/article/9a47408a0e514969be3b1861ee4c427a
Autor:
Lingjian Duanmu, Weiwei Chen, Li Guo, Yuan Yuan, Hongwu Yang, Jing Fu, Guoqing Song, Zixuan Xia
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 1098 (2024)
Despite the long-term implementation of air pollution control policies in northeast China, severe haze pollution continues to occur frequently. With the adoption of a megacity (Changchun) in northeast China, we analysed the vertical characteristics o
Externí odkaz:
https://doaj.org/article/0a39c55533d94eed8d12bb682a6bf397
Publikováno v:
BMC Musculoskeletal Disorders, Vol 23, Iss 1, Pp 1-11 (2022)
Abstract Background To compare changes in the composition of paraspinal muscles of patients with ankylosing spondylitis (AS) and matched healthy controls using T2 mapping and T2 IDEAL and correlate the quantitative magnetic resonance imaging (qMRI) r
Externí odkaz:
https://doaj.org/article/c06703717d8c43acb0544c6bd4afb707
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10737 (2023)
Automatic essay evaluation, an essential application of natural language processing (NLP) technology in education, has been increasingly employed in writing instruction and language proficiency assessment. Because automatic Chinese Essay Evaluation (
Externí odkaz:
https://doaj.org/article/4f7051597bd74a9cb2e365175b32795c
Autor:
Weizhao Zhang, Hongwu Yang
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12185 (2022)
The paper proposes a meta-learning-based Mandarin-Tibetan cross-lingual text-to-speech (TTS) to realize both Mandarin and Tibetan speech synthesis under a unique framework. First, we build two kinds of Tacotron2-based Mandarin-Tibetan cross-lingual b
Externí odkaz:
https://doaj.org/article/76b8a90a6b5c431b95220a591a67f18e
Publikováno v:
IEEE Access, Vol 7, Pp 167884-167894 (2019)
This paper proposes a deep learning-based Mandarin-Tibetan cross-lingual speech synthesis to realize both Mandarin speech synthesis and Tibetan speech synthesis under a unique framework. Because Tibetan training corpus is hard to record, we train the
Externí odkaz:
https://doaj.org/article/90efe70147fe4bdbae708d94b981f946