Editorial on the Research Topic "Leveraging artificial intelligence and open science for toxicological risk assessment"

Research into automatic text simplification aims to promote access to information for all members of society. To facilitate generalizability, simplification research often abstracts away from specific use cases, and targets a prototypical reader and an underspecified content creator. In this paper, we …

Insufficient physical activity presents a significant hazard to overall health, with sedentary lifestyles linked to a variety of health issues. Monitoring physical activity levels allows the recognition of patterns of sedentary behavior and the provision of coaching to meet the recommended physical activity …

Energy conservation is crucial in wireless ad hoc sensor network design to increase network lifetime. Since communication consumes a major part of the energy used by a sensor node, efficient communication is important. Topology control aims at achieving more efficient communication by dropping links …

Both because of the shortcomings of existing risk assessment methodologies, as well as newly available tools to predict hazard and risk with machine learning approaches, there has been an emerging emphasis on probabilistic risk assessment. Increasingly sophisticated AI models can be applied to a plethora …

The main goal of this study was to investigate if a computational analyses of text data from the National Student Survey (NSS) can add value to the existing, manual analysis. The results showed the computational analysis of the texts from the open questions of the NSS contain information which enriches …

Abstraction is considered an essential aspect of computational thinking. Primary schools are starting to include computational thinking into the curriculum. However, in order to guide their support, teachers need to know how to recognize abstraction. In this paper, we present how we can observe abstraction …

This thesis is concerned with the computational generation of musical pieces, utilising concepts from the area of Artificial Intelligence. The main focus lies on the finding of a solution to the problem of bringing long-term, high-level structure to the high-dimensional, sequential streams of data, into …

In social settings, people often need to reason about unobservable mental content of other people, such as their beliefs, goals, or intentions. This ability helps them to understand, to predict, and even to influence the behavior of others. People can take this ability further by applying it recursively. …

Dit werk is gericht op 3-D lokalisatie van sensormotes in massale zwermen, uitsluitend gebaseerd op 1-D relatieve afstandsmetingen tussen naburige motes. We richten ons op toepassingen in afgelegen en moeilijk toegankelijke omgevingen zoals de exploratie en het in kaart brengen van de binnenkant van …