Cluster analyzes have been widely used in mental health research to decompose inter-
individual heterogeneity by identifying more homogeneous subgroups of individuals …

This paper compares the degree of cryptocurrency market efficiency during the pre-and post
COVID-19 pandemic with the bubble and non-bubble periods of cryptocurrency markets …

Clustering analysis has been widely used in various real-world applications. Due to the
simplicity of K-means, it has become the most popular clustering analysis technique in …

The conceptual and regulatory framework of the European just transition does not consider
inequality in household energy consumption. This study addresses the causes of this …

The prevalence of longstanding chronic diseases has increased worldwide, along with the
average age of the population. As a result, an increasing number of people is affected by …

The increasing availability of longitudinal individual human mobility traces enables the
disaggregate analysis of temporal properties of mobility patterns. The objective of this study …

Students' evaluations of teaching is a common practice in higher education institutions, with
the main purpose of improving course quality and effectiveness. In this paper we would like …

Cancer is an omics disease. The development in high-throughput profiling has
fundamentally changed cancer research and clinical practice. Compared with clinical …

This study employs clustering analysis to group forest management units using auxiliary,
satellite imagery-derived height metrics and past wall-to-wall tree census data from a …

The assumed rheological behavior of blood influences the hemodynamic characteristics of
numerical blood flow simulations. Until now, alternative rheological specifications have been …