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Int J Syst Evol Microbiol
January 2025
Department of Life Sciences, University of Coimbra, CEMMPRE, ARISE, Coimbra, Portugal.
Three bacterial strains, designated FZUC8N2.13, FBOR7N2.3 and FZUR7N2.
View Article and Find Full Text PDFDrugs Aging
January 2025
Department of Preventive Medicine and Education, Medical University of Gdansk, Gdańsk, Poland.
Introduction: Older adults represent a growing proportion of the general population. Nonsteroidal anti-inflammatory drugs (NSAIDs) constitute a group of medicines that are both necessary, owing to their anti-inflammatory, analgesic, and cardioprotective abilities, and potentially harmful, owing to their side effects.
Objectives: This study provides a comprehensive analysis of NSAID usage patterns among Polish adults aged 60 years and older.
Syst Parasitol
January 2025
Department of Veterinary Science, Graduate School of Life and Environmental Sciences, Osaka Metropolitan University, Izumisano, Osaka, 598-8531, Japan.
The nutria (Myocastor coypus) is a semiaquatic rodent that originally inhabited South America. However, the animals have spread to different continents as alien species, and their numbers are quickly increasing, especially in North America, Europe, and Eastern Asia including Japan. Although nutrias have been suggested to serve as reservoirs for pathogens, including parasites, there have been few reports on this subject.
View Article and Find Full Text PDFJ Cross Cult Gerontol
January 2025
Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050, Brussels, Belgium.
The older population is diversifying. Extensive research has shown the preference of older adults to age in place. Recent research shows that older migrants also prefer to age in place.
View Article and Find Full Text PDFBrain Topogr
January 2025
Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India.
EEG involves recording electrical activity generated by the brain through electrodes placed on the scalp. Imagined speech classification has emerged as an essential area of research in brain-computer interfaces (BCIs). Despite significant advances, accurately classifying imagined speech signals remains challenging due to their complex and non-stationary nature.
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