[HTML][HTML] Effect of forest bathing trips on human immune function
Q Li - Environmental health and preventive medicine, 2010 - Springer
In Japan, a forest bathing trip, called “Shinrinyoku” in Japanese, is a short, leisurely visit to a
forest; it is regarded as being similar to natural aromatherapy. This review focuses on the …
forest; it is regarded as being similar to natural aromatherapy. This review focuses on the …
Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks
L Qing, Q Zhu, M Wang - Computer communications, 2006 - Elsevier
The clustering Algorithm is a kind of key technique used to reduce energy consumption. It
can increase the scalability and lifetime of the network. Energy-efficient clustering protocols …
can increase the scalability and lifetime of the network. Energy-efficient clustering protocols …
Cyberbullying in schools: A research of gender differences
Q Li - School psychology international, 2006 - journals.sagepub.com
This study investigates the nature and the extent of adolescences’ experience of cyberbullying.
A survey study of 264 students from three junior high schools was conducted. In this …
A survey study of 264 students from three junior high schools was conducted. In this …
[HTML][HTML] Follow-up study of the pulmonary function and related physiological characteristics of COVID-19 survivors three months after recovery
…, Y Shang, W Song, Q Li, H Xie, Q Xu, J Jia, L Li… - …, 2020 - thelancet.com
Background The long-term pulmonary function and related physiological characteristics of
COVID-19 survivors have not been studied in depth, thus many aspects are not understood. …
COVID-19 survivors have not been studied in depth, thus many aspects are not understood. …
Automated tongue segmentation in hyperspectral images for medicine
Z Liu, J Yan, D Zhang, QL Li - Applied optics, 2007 - opg.optica.org
Automatic tongue area segmentation is crucial for computer aided tongue diagnosis, but
traditional intensity-based segmentation methods that make use of monochromatic images …
traditional intensity-based segmentation methods that make use of monochromatic images …
Least squares generative adversarial networks
Unsupervised learning with generative adversarial networks (GANs) has proven hugely
successful. Regular GANs hypothesize the discriminator as a classifier with the sigmoid cross …
successful. Regular GANs hypothesize the discriminator as a classifier with the sigmoid cross …
New bottle but old wine: A research of cyberbullying in schools
Q Li - Computers in human behavior, 2007 - Elsevier
This study investigates the nature and the extent of adolescences’ experience of cyberbullying.
A survey study of 177 grade seven students in an urban city is conducted. In this paper, “…
A survey study of 177 grade seven students in an urban city is conducted. In this paper, “…
Circulating microRNA: a novel potential biomarker for early diagnosis of acute myocardial infarction in humans
GK Wang, JQ Zhu, JT Zhang, Q Li, Y Li… - European heart …, 2010 - academic.oup.com
Aims microRNA (miRNA) is reported to be present in the blood of humans and has been
increasingly suggested as a biomarker for diseases. We aim to determine the potential of …
increasingly suggested as a biomarker for diseases. We aim to determine the potential of …
[PDF][PDF] REVEL: an ensemble method for predicting the pathogenicity of rare missense variants
…, SK McDonnell, S Baheti, A Musolf, Q Li… - The American Journal of …, 2016 - cell.com
The vast majority of coding variants are rare, and assessment of the contribution of rare
variants to complex traits is hampered by low statistical power and limited functional data. …
variants to complex traits is hampered by low statistical power and limited functional data. …
Graph neural networks for social recommendation
In recent years, Graph Neural Networks (GNNs), which can naturally integrate node information
and topological structure, have been demonstrated to be powerful in learning on graph …
and topological structure, have been demonstrated to be powerful in learning on graph …