Functional coactivation between human brain regions is partly explained by white matter
connections; however, how the structure-function relationship varies by function remains …

Predicting forest understorey community responses to global change and forest
management is vital given the importance of the understorey for biodiversity conservation …

Given the remarkable capabilities of large language models (LLMs), there has been a
growing interest in evaluating their similarity to the human brain. One approach towards …

Background Polygenic risk scores (PRS) quantify an individual's genetic predisposition for
different traits and are expected to play an increasingly important role in personalized …

Consumer sentiment, which measures how confident individuals feel in the strength of the
economy, is a crucial indicator of the overall health of the economy. However, due to the …

Estimating the overall user experience (UX) on a device is a common challenge faced by
manufacturers. Today, device makers primarily rely on microbenchmark scores, such as …

The study examines the potential of Google Trends data as an additional data source for
forecasting EU migration to Germany. For that aim, candidate search queries with relation to …

1.1 Background For more than 40 years, CQM has been performing projects that have
quantitative elements. In those projects, the CQM consultants collaborate with the customer …

In this study, we explore the efficacy of machine learning and rule-based models versus
traditional regression models in predicting recovery rates. Moreover, we look to identify …