In this study, artificial neural network such as a self-organizing map (SOM) was used to assess for the effects caused by climate change and human activities on the water quality in Daya Bay, South China Sea. SOM has identified the anthropogenic effe...
Comprehensive reviews in food science and food safety
Sep 1, 2024
The food industry is a significant contributor to carbon emissions, impacting carbon footprint (CF), specifically during the heat drying process. Conventional heat drying processes need high energy and diminish the nutritional value and sensory quali...
Studies in health technology and informatics
Aug 22, 2024
In Canada, extreme heat occurrences present significant risks to public health, particularly for vulnerable groups like older individuals and those with pre-existing health conditions. Accurately predicting indoor temperatures during these events is ...
Zhen ci yan jiu = Acupuncture research
Feb 25, 2023
Moxibustion therapy is a unique health resource in China, which is advantageous by its irreplaceable effectiveness in treatment, disease prevention and healthcare. But, moxibustion therapy used in primary care institutions in China is far from the du...
It is easy to cause thermal damage to the bone tissue when the surgical robot performs skull drilling to remove bone flaps, due to the large diameter of the drill bit, the large heat-generating area, and the long drilling time. Therefore, in order to...
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Aug 1, 2022
In medical surgery, bone drilling is an inevitable procedure. The thermal necrosis in the drilling process can affect post-operative recovery. In this study, the method of drill bit precooling is proposed in bone drilling with robot assisted system. ...
Uncontrolled built-up area expansion and building densification could bring some detrimental problems in social and economic aspects such as social inequality, urban heat islands, and disturbance in urban environments. This study monitored multi-deca...
With the development of deep learning, researchers design deep network structures in order to extract rich high-level semantic information. Nowadays, most popular algorithms are designed based on the complexity of visible image features. However, com...