Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Qiongqiong Chen"'
Publikováno v:
Synthetic and Systems Biotechnology, Vol 9, Iss 3, Pp 569-576 (2024)
Terpenoids have tremendous biological activities and are widely employed in food, healthcare and pharmaceutical industries. Using synthetic biology to product terpenoids from microbial cell factories presents a promising alternative route compared to
Externí odkaz:
https://doaj.org/article/0c73ce6e3ca948dbb7e48d2c808b657c
Autor:
Liting Lyu, Qiongqiong Chen, Haizhao Xue, Sumayya Mustafa, Aabid Manzoor Shah, Qitian Huang, Yue Zhang, Shuang Wang, Zongbao Kent Zhao
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2024)
α-Terpineol is a monoterpenoid alcohol that has been widely used in the flavor, fragrance, and pharmaceutical industries because of its sensory and biological properties. However, few studies have focused on the microbial production of α-terpineol.
Externí odkaz:
https://doaj.org/article/c898490ad4d54c0b94ae0669912628e7
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 554-563 (2023)
Depression is a common mental illness which has brought great harm to the individuals. With recent evidence that many objective physiological signals are associated with depression, automated detection of depression is urgent and important for the gr
Externí odkaz:
https://doaj.org/article/e58fb838cf2340448d5dd50323e73b3a
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionAs a biomarker of depression, speech signal has attracted the interest of many researchers due to its characteristics of easy collection and non-invasive. However, subjects’ speech variation under different scenes and emotional stimuli,
Externí odkaz:
https://doaj.org/article/8027153e90f14ad1afb031f5412d6b48
Autor:
Luhang Cai, Ya Liu, Yaping Xu, Hang Yang, Lihui Lv, Yang Li, Qiongqiong Chen, Xiaojiang Lin, Yihui Yang, Guangwei Hu, Guofeng Zheng, Jing Zhou, Qiyong Qian, Mei-ai Xu, Jin Fang, Jianjun Ding, Wei Chen, Jiong Gao
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
PurposeThe conventional genetic screening for deafness involves 9–20 variants from four genes. This study expands screening to analyze the mutation types and frequency of hereditary deafness genes in Zhejiang, China, and explore the significance of
Externí odkaz:
https://doaj.org/article/f90d964f3b004cdaac8e06d35de6fa2c
Publikováno v:
Journal of International Medical Research, Vol 48 (2020)
Sudden sensorineural hearing loss (SSNHL) is a common condition with a rapid onset, and its worldwide frequency is increasing each year. Importantly, a significant number of patients with SSNHL do not respond to initial treatment, which is termed ref
Externí odkaz:
https://doaj.org/article/7580963dc17c49d984abd8523729a729
Publikováno v:
Biomedical Signal Processing and Control. 85:104970
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::213f4583db062f31d257ea41840be02b
https://doi.org/10.1016/j.bspc.2023.104970
https://doi.org/10.1016/j.bspc.2023.104970
Publikováno v:
Asian Education and Development Studies. 11:23-41
PurposeThis paper examines the correlation between university discipline and industrial structure in the context of the integration and development of the Guangdong-Hong Kong-Macau Greater Bay Area (hereinafter the Greater Bay Area). It aims to deter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b87374f75638ab495ad2ee6962848bb
https://doi.org/10.1108/aeds-09-2019-0155
https://doi.org/10.1108/aeds-09-2019-0155
Autor:
Qiongqiong Chen
Publikováno v:
International Education Studies. 15:109
Predictive research on the enrollment proportion of general education and vocational education is crucial to optimizing the regional talent structure and industrial structure adjustment. The reasonable enrollment proportion of general education and v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3a238ba0083d0b388d568563547f6b4
https://doi.org/10.5539/ies.v15n6p109
https://doi.org/10.5539/ies.v15n6p109
Publikováno v:
BIBM
In recent years, automatic detection of depression from speech has attracted many researchers. One of the key points is finding discriminable patterns in voice between depressed patients and healthy people. For this goal, we employed the Hilbert-Huan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a8adbb6a1e2ad022d46a7c3e2eabea8
https://doi.org/10.1109/bibm49941.2020.9313587
https://doi.org/10.1109/bibm49941.2020.9313587