Self-related information automatically modulates early attentional selection into awareness through mechanisms distinct from physical salience, revealing an obligatory, individualized ...
Abstract: In the brain imaging genomic tasks, it is challenging to provide accurate prior knowledge for estimating the association between quantitative traits (QTs) extracted from neuroimaging and ...
Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...
Fraudulent activities have caused substantial negative social impacts and are exhibiting emerging characteristics such as intelligence and industrialization, posing challenges of high-order ...
Genome-Wide Association Studies (GWAS) have transformed human genetics by identifying thousands of loci associated with complex traits and diseases. Yet, individual GWAS are often underpowered, and ...
Background: Nine lifestyle characteristics have been identified across Blue Zones - 5 regions of the world noted for their longevity - but these factors have yet to be empirically tested. This study ...
aDepartment of Neurology, Institute of Clinical Neurology, Centre for Cognitive Neurology, Fujian Medical University Union Hospital, Fuzhou, China bFujian Key Laboratory of Molecular Neurology, Fujian ...
Metabolomics has experienced significant growth and increased popularity due to technological advancements. We introduced an integrated tool for untargeted metabolomics analysis, SMART 1.0, that ...
Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...
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