This paper presents a generative large language model (LLM)- guided approach to detect discursive patterns in Dutch social media. Newsrooms of municipalities and public organizations follow public debate on social media to be aware of and prepare for local and global issues and rumours. The onset of …

Knowledge of the time of deposition is pivotal in forensic investigations. Recent studies show that changes in intrinsic fluorescence over time can be used to estimate the age of body fluids. These changes have been attributed to oxidative modifications caused by protein–lipid interactions. This pilot …

Alzheimer's disease is a complex neurodegenerative disease and the most prevalent form of dementia. It affects every 14th person after the age of 65, thus making it a serious concern in modern society. Furthermore, currently available treatment is restricted only to symptomatic and is not highly effective. …

Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning …

Sepsis is a life-threatening organ dysfunction caused by a dysregulated immune response to infection. It is the number one cause of death in the Intensive Care Unit (ICU), accounting for 6 million casualties every year. Unfortunately, all clinical trials in the last decade failed due to the highly complex …

Native (flat) oyster (Ostrea edulis) beds, once a major component of the North Sea, largely disappeared from the region in the late 19th century. Flat oyster restoration is taking place at a number of locations in the North Sea. When flat oyster beds are restored in areas where O. edulis is functionally …

The use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its navigation and decision-making processes. This work focuses on …

Localization is a crucial skill in mobile robotics because the robot needs to make reasonable navigation decisions to complete its mission. Many approaches exist to implement localization, but artificial intelligence can be an interesting alternative to traditional localization techniques based on model …

Background A healthy lifestyle is indispensable for the prevention of noncommunicable diseases. However, lifestyle medicine is hampered by time constraints and competing priorities of treating physicians. A dedicated lifestyle front office (LFO) in secondary/tertiary care may provide an important contribution …

The emergence of wearable sensor technology may provide opportunities for automated measurement of psychophysiological markers of mental and physical fitness, which can be used for personalized feedback. This study explores to what extent within-subject changes in resting heart rate variability (HRV) …