This study investigated the relationship between stepping-defined daily activity levels, time spent in different postures, and the patterns and intensities of stepping behaviour. Using a thigh-mounted triaxial accelerometer, physical activity data from 3547 participants with seven days of valid data were analysed. We classified days based on step count and quantified posture and stepping behaviour, distinguishing between indoor, community, and recreation stepping. The results indicated significant differences in time spent in upright (2.5 to 8.9 h, < 0.05), lying (8.0 to 9.1 h, < 0.05), and sedentary (7.0 to 13.0 h, < 0.05) postures across activity levels. At higher daily activity levels (10,000-15,000 steps), individuals tended to spend approximately equal time in each posture (8 h lying, 8 h sitting, and 8 h upright). The study found that at lower stepping-defined activity levels, step volumes were driven primarily by indoor stepping, while at higher activity levels, outdoor and recreation stepping were larger contributors. Additionally, stepping classified as indoor had significantly slower cadences compared to outdoor stepping. These findings suggest that the composition and intensity of stepping behaviours vary significantly with daily activity volumes, providing insights that could enhance public health messaging and interventions aimed at promoting physical activity.
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Anim Cells Syst (Seoul)
December 2024
Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy.
Insect protein hydrolysates (PH) are emerging as valuable compounds with biological activity. The aim of the present study was to assess the potential cytoprotective effects of PH from the Black Soldier Fly (BPH, in the range 0.1-0.
View Article and Find Full Text PDFAnim Cells Syst (Seoul)
January 2025
Department of Biochemistry, College of Natural Sciences, Chungnam National University, Daejeon, Korea.
Interferon gamma (IFNγ) is well-known for its ability to stimulate immune cells in response to pathogen infections and cancer. To develop an effective cancer therapeutic vaccine, CT26 colon carcinoma cells were genetically modified to express IFNγ either as a secreted form (sIFNγ) or as a membrane-bound form. For the membrane-bound expression, IFNγ was fused with Fas (mbIFNγ/Fas), incorporating the extracellular cysteine-rich domains, transmembrane, and cytoplasmic domains of Fas.
View Article and Find Full Text PDFFront Psychol
December 2024
School of Philosophy and Sociology, Jilin University, Changchun, China.
Introduction: Knowledge sharing is an effective means of knowledge management in colleges and universities, which is of great significance for improving the quality and efficiency of universities and enhancing the balanced development of educational resources. The present study investigated the influence students' proactive personalities drive knowledge-sharing activities, and examined the significance of class climate and learning engagement as mediating factors, utilizing the perspectives of social exchange theory (SET) and the job demands and resources model (JD-R) .
Methods: A convenience sampling method was employed to survey 1,053 Chinese college students, and evaluated them using the Proactive Personality Scale (PPS), Learning Engagement Scale (LES), Class Climate Scale (CCS), and Knowledge Sharing Behavior Scale (KSBS).
Front Psychol
December 2024
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States.
Introduction: While the fact that visual stimuli synthesized by Artificial Neural Networks (ANN) may evoke emotional reactions is documented, the precise mechanisms that connect the strength and type of such reactions with the ways of how ANNs are used to synthesize visual stimuli are yet to be discovered. Understanding these mechanisms allows for designing methods that synthesize images attenuating or enhancing selected emotional states, which may provide unobtrusive and widely-applicable treatment of mental dysfunctions and disorders.
Methods: The Convolutional Neural Network (CNN), a type of ANN used in computer vision tasks which models the ways humans solve visual tasks, was applied to synthesize ("dream" or "hallucinate") images with no semantic content to maximize activations of neurons in precisely-selected layers in the CNN.
Front Immunol
December 2024
Institute for Immunodeficiency, Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Germany.
Background: Hypomorphic mutations in the () gene cause a glycosylation disorder that leads to immunodeficiency. It is often associated with recurrent infections and atopy. The exact etiology of this condition remains unclear.
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