A novel workflow combining comprehensive two-dimensional gas chromatography (GC×GC) with computer vision (CV) was developed to analyze the complex volatile profiles of coffee. By generating composite ...
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 ...
Introduction Hypertension programmes have expanded substantially in low-income and middle-income countries, yet treatment and control rates remain insufficient. Programme scale-up may lead to ...
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 ...
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 ...
ABSTRACT: Purpose: This study explores the influence of perceived brand authenticity on emotional and behavioral loyalty among Generation Z consumers in Ghana and examines how digital engagement ...
If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...
Analysis of Multivariate Indoor Building Data: A Comparative Study of Time-Series Clustering Methods
Abstract: Clustering multivariate time-series data is crucial for uncovering complex temporal patterns in dynamic environments, such as building indoor conditions and behavior where variables like ...
ABSTRACT: In today’s tech-driven education landscape, blended learning has become essential for college English courses. This study examines what really boosts student outcomes using the Community of ...
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