Accurate digital twinning of the global challenges (GC) leads to computationally expensive coupled simulations.

Complex applications, which include microservices, computationally intensive batch jobs, and sophisticated interaction with the external environment, demand for heterogeneous computational infrastructures that range from cloud to HPC and edge computing.

3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up.

New technologies have been progressively integrated into vehicles during the last thirty years.

In astronomy, age is one of the most difficult stellar properties to measure, and gyrochronology is one of the most promising techniques for the task.

Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there is an abundance of research on anomaly detection in sensor data).

Background: Cancer is an extremely heterogeneous disease, both intra and inter cancer types.

While studies have established the existence of differences in the epidemiological and clinical patterns of lung adenocarcinoma between male and female patients, we know relatively little regarding the molecular mechanisms underlying such sex-based differences.

Four EU pilot projects were launched in 2019 (ECHO, SPARTA, CSEU, and CONCORDIA) with the focus on specific context of EU Regulation that is establishing the European Cybersecurity Competence Centre (ECCC), together with the Network of National Coordination Centers (NCCs), and Competence communit