Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Lijuan, Qiao"'
Autor:
Lijuan Qiao, Guoping Shen, Rui Han, Rong Wang, Xiang Gao, Jiangwa Xing, Yanbing Lin, Derui Zhu
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-13 (2024)
Abstract Halomonas species are renowned for their production of organic compatible solutes, particularly ectoine. However, the identification of key regulatory genes governing ectoine production in Halomonas remains limited. In this study, we conduct
Externí odkaz:
https://doaj.org/article/b1d02cbd4b444b9d980a85077ebce605
Publikováno v:
Sensors and Actuators Reports, Vol 8, Iss , Pp 100216- (2024)
The presence of ammonia in exhaled human breath serves as a crucial biomarker for renal diseases. This paper presents a highly sensitive ammonia sensor operable at room temperature, utilizing a Ti/Zr dual metal MOF as its core component, synthesized
Externí odkaz:
https://doaj.org/article/48cfbf8cd72c43f5945d262045fb1e62
Publikováno v:
Electrochemistry Communications, Vol 164, Iss , Pp 107738- (2024)
Ethylene glycol is odorless and harmful to humans. Each year, a large number of fatal cases are caused by ethylene glycol poisoning. Therefore, rapid identification of ethylene glycol is crucial. In this study, clay-like Ti3C2Tx MXene exhibits a larg
Externí odkaz:
https://doaj.org/article/6a85dc2d9c6441f4a8122de793294558
Publikováno v:
Sensing and Bio-Sensing Research, Vol 44, Iss , Pp 100657- (2024)
Protein phosphorylation in sweat metabolites plays a key role in nerve activity, muscle contraction, and other activities, and abnormal protein phosphorylation may lead to diseases such as neurodegenerative disorders. Real-time non-invasive monitorin
Externí odkaz:
https://doaj.org/article/ac8402622ff74e409fddc09a33331900
Autor:
Lixia Du, Hui Xu, Li Fang, Lijuan Qiao, Yu Xie, Chunli Yang, Linxiu Ji, Liqiong Zhao, Cong Wang, Weilan Zhang, Xue Feng, Ting Chen, Qin Yuan
Publikováno v:
Preventive Medicine Reports, Vol 39, Iss , Pp 102639- (2024)
Objectives: The Albumin-Bilirubin (ALBI) score has been widely used to assess the prognosis in patients with cirrhosis and hepatocellular carcinoma. This study aimed to analyze the relationship between ALBI score and all-cause mortality in patients w
Externí odkaz:
https://doaj.org/article/b501ece7388f45eeb7234e6096137ff2
Publikováno v:
Biosensors, Vol 12, Iss 10, p 865 (2022)
Abnormal protein phosphorylation may relate to diseases such as Alzheimer’s, schizophrenia, and Parkinson’s. Therefore, the real-time detection of phosphoproteins in sweat was of great significance for the early knowledge, detection, and treatmen
Externí odkaz:
https://doaj.org/article/b2e5e4a7a69f48b38decf63d332eb9ca
Publikováno v:
Chemosensors, Vol 10, Iss 7, p 273 (2022)
In recent years, wearable sensors have enabled the unique mode of real-time and noninvasive monitoring to develop rapidly in medical care, sports, and other fields. Sweat contains a wide range of biomarkers such as metabolites, electrolytes, and vari
Externí odkaz:
https://doaj.org/article/789ecedba37842619a67b304263dac52
Autor:
Yuting Qiao, Lijuan Qiao, Peize Zhao, Peng Zhang, Fanbin Wu, Jiahui Zhang, Li Gao, Bingxin Liu, Lei Zhang
Publikováno v:
Biosensors, Vol 12, Iss 6, p 361 (2022)
Abnormal protein phosphorylation in sweat metabolites is closely related to cancer, cardiovascular disease, and other diseases. The real-time monitoring of phosphoproteins in sweat is significant for early monitoring of disease biomarkers. Here, a hi
Externí odkaz:
https://doaj.org/article/7c8b955918d144aab36fe21d2440bab9
Publikováno v:
Digestive and Liver Disease. 55:40-45
Several studies have demonstrated an association between multiple gene hypermethylation and gastric cancer. However, the intrinsic mechanisms remain elusive and highly debatable. To this end, our study aims to investigate the correlation between the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e076733c804df7efe491ed9fcea7295
https://doi.org/10.1016/j.dld.2022.03.009
https://doi.org/10.1016/j.dld.2022.03.009
Publikováno v:
Journal of Vibroengineering, Vol 23, Iss 6, Pp 1366-1382 (2021)
The conventional methods for vibration fault detection and diagnosis relies on feature extraction from the waveforms of the vibration signals. This article exploits the scope of image recognition application for the detection and diagnosis of fan vib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb7159fa4d4121e5e16cccdcc1b645ed
https://doi.org/10.21595/jve.2021.21935
https://doi.org/10.21595/jve.2021.21935