Social and emotional learning (SEL) has been increasingly emphasized in educational
research and practice for promoting children's wellbeing. Perhaps the most well-known SEL …

The ventral hippocampus (vHPC) is a critical hub in networks that process emotional
information. While recent studies have indicated that ventral CA1 (vCA1) projection neurons …

Applying computational statistics or machine learning methods to data is a key component of
many scientific studies, in any field, but alone might not be sufficient to generate robust and …

Since the establishment of the World Trade Organization (WTO) also the number of
Regional Trade Agreements (RTAs) has risen strongly, from less than 50 in 1995 to more …

In landscape genetics, habitat connectivity and population genetic structure have been
analysed using graph‐theoretic approaches to understand how landscape features …

Network analysis is a useful tool to analyse the interactions and structure of graphs that
represent the relationships among entities, such as sectors within an urban system …

Mutualistic networks are highly dynamic, characterized by high temporal turnover of species
and interactions. Yet, we have a limited understanding of how the internal structure of these …

Tasks that measure correlates of prosocial decision-making share one common feature:
agents can make choices that increase the welfare of a beneficiary. However, prosocial …

As genetic circuits become more sophisticated, the size and complexity of data about their
designs increase. The data captured goes beyond genetic sequences alone; information …

Tracking animal movements over time may fundamentally determine the success of disease
control interventions. In commercial pig production growth stages determine animal …