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http://dx.doi.org/10.3389/fpsyt.2024.1438733 | DOI Listing |
Front Neuroergon
December 2024
Department of Industrial and Systems Engineering, University of Wisconsin Madison, Madison, WI, United States.
Introduction: First responders play a pivotal role in ensuring the wellbeing of individuals during critical situations. The demanding nature of their work exposes them to prolonged shifts and unpredictable situations, leading to elevated fatigue levels. Modern countermeasures to fatigue do not provide the best results.
View Article and Find Full Text PDFFront Microbiol
December 2024
Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
Evidence suggests that the gut microbiome may play a role in multiple sclerosis (MS). However, the majority of the studies have focused on gut bacterial communities; none have examined the fungal microbiota (mycobiota) in persons with pediatric-onset multiple sclerosis (POMS). We examined the gut mycobiota in persons with and without POMS through a cross-sectional examination of the gut mycobiota from 46 participants' stool samples (three groups: 18 POMS, 13 acquired monophasic demyelinating syndromes [monoADS], and 15 unaffected controls).
View Article and Find Full Text PDFClin Ther
December 2024
Department of Public Health & Community Medicine, Tufts University School of Medicine, Boston, Massachusetts. Electronic address:
Microbiome Res Rep
August 2024
Department of Bioscience Engineering, University of Antwerp, Antwerpen 2020, Belgium.
The human skin microbiome plays an essential role in protecting against pathogens and other external substances. This open ecosystem is also influenced by personal and environmental factors, but the precise impact of these factors, such as lifestyle and season, is understudied. We focused here on the inner elbow, a skin site prone to inflammatory conditions like atopic dermatitis and psoriasis.
View Article and Find Full Text PDFFront Hum Neurosci
December 2024
Department of Biomedical Engineering, Izmir Katip Celebi University, Izmir, Türkiye.
Introduction: Motor Imagery (MI) Electroencephalography (EEG) signals are non-stationary and dynamic physiological signals which have low signal-to-noise ratio. Hence, it is difficult to achieve high classification accuracy. Although various machine learning methods have already proven useful to that effect, the use of many features and ineffective EEG channels often leads to a complex structure of classifier algorithms.
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