Cross-cultural comparisons of color perception and cognition often feature versions of the "similarity sorting" procedure. By interpreting the assignment of two color samples to different groups as an indication that the dissimilarity between them exceeds some threshold, sorting data can be regarded as low-resolution similarity judgments. Here we analyze sorting data from speakers of Italian, Russian, and English, applying multidimensional scaling to delineate the boundaries between perceptual categories while highlighting differences between the three populations. Stimuli were 55 color swatches, predominantly from the blue region. Results suggest that at least two Italian words for "blue" are basic, a similar situation to Russian, in contrast to English where a single "blue" term is basic.
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http://dx.doi.org/10.1364/JOSAA.31.00A332 | DOI Listing |
Med Biol Eng Comput
January 2025
School of Control Science and Engineering, Tiangong University, Tianjin, 300387, China.
With the advancement of artificial intelligence technology, more and more effective methods are being used to identify and classify Electroencephalography (EEG) signals to address challenges in healthcare and brain-computer interface fields. The applications and major achievements of Graph Convolution Network (GCN) techniques in EEG signal analysis are reviewed in this paper. Through an exhaustive search of the published literature, a module-by-module discussion is carried out for the first time to address the current research status of GCN.
View Article and Find Full Text PDFJ Cyst Fibros
January 2025
Department of Pediatrics, University of Pittsburgh School Of Medicine, USA.
Background: Males with cystic fibrosis (MwCF) face general and disease-specific sexual and reproductive health (SRH) concerns. Using concept mapping (CM), this study identified the SRH topics valued by members of the CF community.
Methods: MwCF 18 years and older, parents and partners of MwCF, and healthcare providers participated in an online CM study.
JMIR Form Res
January 2025
Larner College of Medicine, University of Vermont, Burlington, VT, United States.
Background: Social media has become a widely used way for people to share opinions about health care and medical topics. Social media data can be leveraged to understand patient concerns and provide insight into why patients may turn to the internet instead of the health care system for health advice.
Objective: This study aimed to develop a method to investigate Reddit posts discussing health-related conditions.
Front Bioeng Biotechnol
January 2025
Yunnan Key Laboratory of Cell Metabolism and Diseases, Yunnan University, Kunming, China.
Single-cell protein analysis has emerged as a powerful tool for understanding cellular heterogeneity and deciphering the complex mechanisms governing cellular function and fate. This review provides a comprehensive examination of the latest methodologies, including sophisticated cell isolation techniques (Fluorescence-Activated Cell Sorting (FACS), Magnetic-Activated Cell Sorting (MACS), Laser Capture Microdissection (LCM), manual cell picking, and microfluidics) and advanced approaches for protein profiling and protein-protein interaction analysis. The unique strengths, limitations, and opportunities of each method are discussed, along with their contributions to unraveling gene regulatory networks, cellular states, and disease mechanisms.
View Article and Find Full Text PDFBackground: Sports participation in childhood is known to benefit physical health, but its impact on cognitive development, particularly comparing open-skill and closed-skill sports, is less understood.
Methods: This study analyzed baseline data from the Adolescent Brain Cognitive Development (ABCD) study, comprising 11,869 children aged 9-10 years. Participants were categorized into open-skill sports group (OSG), closed-skill sports group (CSG), and non-sport group (NSG).
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