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Short-term effects of meteorological factors on the incidence of mumps: A nationwide time-series analysis in Japan.
Public Health
January 2025
Division of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan; Institute for Research Administration, Niigata University, Niigata, Japan. Electronic address:
Objectives: Mumps (infectious parotitis) is an acute respiratory illness caused by the mumps virus in humans. While numerous studies have explored the impact of climate variability on mumps incidence in specific cities or regions, few have analyzed nationwide associations across multiple locations. This study aims to systematically assess the short-term effects of meteorological factors on mumps incidence across Japan over a 15-year period.
View Article and Find Full Text PDFChanges to the Autophagy-Related Muscle Proteome Following Short-Term Treatment with Ectoine in the Duchenne Muscular Dystrophy Mouse Model mdx.
Int J Mol Sci
January 2025
Neuromuscular Reference Center and Department of Neurology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium.
The most severe form of muscular dystrophy (MD), known as Duchenne MD (DMD), remains an incurable disease, hence the ongoing efforts to develop supportive therapies. The dysregulation of autophagy, a degradative yet protective mechanism activated when tissues are under severe and prolonged stress, is critically involved in DMD. Treatments that harness autophagic capacities therefore represent a promising therapeutic approach.
View Article and Find Full Text PDFForensically useful mid-term and short-term temperature reconstruction for quasi-indoor death scenes.
Sci Justice
January 2025
Laboratory of Criminalistics, Adam Mickiewicz University in Poznań, al. Niepodległości 53, Poznań 61-714, Poland; Centre for Advanced Technologies, Adam Mickiewicz University in Poznań, ul. Uniwersytetu Poznańskiego 10, Poznań 61-614, Poland.
While estimating postmortem interval (PMI) ambient temperature plays a pivotal role, so its reconstruction is crucial for forensic scientists. The recommended procedure is to correct temperatures from the nearest meteorological station based on measurements from the death scene; typically applying linear regression. Recently, there have been attempts to use different algorithms, that can improve that correction, for example GAM algorithm.
View Article and Find Full Text PDFEnhancing emulsification properties of pea protein isolate: Impact of heat treatment and soy hull polysaccharides on conformational modification and stability.
Int J Biol Macromol
January 2025
College of Food Science and Technology, Bohai University, Jinzhou 121013, China; Grain and Cereal Food Bio-efficient Transformation Engineering Research Center of Liaoning Province, Jinzhou 121013, China.
In order to investigate the effect of conformational change in pea protein isolate (PPI) on its emulsification properties, soy hull polysaccharides (SHP) were added to modify the conformation following heat treatment at 70-100 °C to improve emulsification. The results of UV and fluorescence spectroscopy indicated that the heat treatment exposed the amino acid residues to a more hydrophobic environment. The mean volume diameter (d) of PPI was reduced from 67.
View Article and Find Full Text PDFDevelopment of an intelligent control system of high efficiency and online monitoring for hot air drying of peony flowers.
J Food Sci
January 2025
College of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an, China.
To enhance the drying quality of peony flowers, this study developed an integrated intelligent control and monitoring system. The system incorporates computer vision technology to enable real-time continuous monitoring and analysis of the total color change (ΔE) and shrinkage rate (SR) of the material. Additionally, by integrating drying time and temperature data, a hybrid neural network model combining convolutional neural networks, long short-term memory, and attention mechanisms (CNN-LSTM-Attention) was employed to accurately predict the moisture ratio (MR) of peony flowers.
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