Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yuanjing Ma"'
Publikováno v:
Procedia Computer Science. 183:254-260
The successive development of social industrialization and modernization has caused a great many of environmental problems. Due to the imbalance between the environment and rapid development, the problem of urban air quality has become more and more
Autor:
Yuanjing Ma, Hongmei Jiang
Publikováno v:
Bioinformatics. 36:5665-5671
Motivation Many computational methods have been recently proposed to identify differentially abundant microbes related to a single disease; however, few studies have focused on large-scale microbe-disease association prediction using existing experim
Publikováno v:
Clinical Reviews in Allergy & Immunology. 58:52-70
CD4+CD25+ regulatory T cells (Tregs) are a class of CD4+ T cells with immunosuppressive functions that play a critical role in maintaining immune homeostasis. However, in certain disease settings, Tregs demonstrate plastic differentiation, and the st
Publikováno v:
2020 IEEE 6th International Conference on Computer and Communications (ICCC).
According to the existing air quality forecasting model, this paper proposed an air quality forecasting method based on deep learning. By analyzing forecasting data, monitoring data and meteorological data, a new air quality forecasting model in the
Publikováno v:
Genes, Vol 11, Iss 1265, p 1265 (2020)
Genes
Volume 11
Issue 11
Genes
Volume 11
Issue 11
In this work, we proposed a process to select informative genetic variants for identifying clinically meaningful subtypes of hypertensive patients. We studied 575 African American (AA) and 612 Caucasian hypertensive participants enrolled in the Hyper
Publikováno v:
Bioinformatics
Motivation Microbial communities have been proved to have close relationship with many diseases. The identification of differentially abundant microbial species is clinically meaningful for finding disease-related pathogenic or probiotic bacteria. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::884ec9aabf7d806826be75062fd4f5ab
https://europepmc.org/articles/PMC7332570/
https://europepmc.org/articles/PMC7332570/
Publikováno v:
Evidence-based Complementary and Alternative Medicine : eCAM
Evidence-Based Complementary and Alternative Medicine, Vol 2019 (2019)
Evidence-Based Complementary and Alternative Medicine, Vol 2019 (2019)
Atherosclerosis (AS) is a complicated arterial disease resulting from abnormal lipid deposition and inflammatory injury, which is attributed to Yin deficiency, accumulation of heat materials, and stasis of blood flow in Traditional Chinese Medicine (
Autor:
Nan Yang, Martin Herzberg, Ibtissem Ben Fekih, Yuanjing Ma, JunMing Su, Chengkang Zhang, Zhengxian Chen, RuiRui Zhang, Junqiang Xu, Renwei Feng, YuanPing Li, Suleiman Kehinde Bello, Christopher Rensing, Sohaib H. Mazhar
Publikováno v:
Microbiology Resource Announcements
Here, we report the features and draft genome sequence of Pseudarthrobacter sp. strain AG30, isolated from the Zijin gold and copper mine in China.
Here, we report the features and draft genome sequence of Pseudarthrobacter sp. strain AG30, isol
Here, we report the features and draft genome sequence of Pseudarthrobacter sp. strain AG30, isol
Publikováno v:
ICIA
Traditional manufacture assembly fault detection method more relied on manual operation leading to an ineffective procedure. In order to solve the problem making mistakes caused by manual inspection such as missing installations or lack of visual and
Publikováno v:
ICIA
Deep Learning is the latest research achievement in the field of Artificial Intelligence. To detect and identify the state of circuit breaker in ambient air automatic monitor station, Deep Learning was proposed to realize the circuit breaker state re