Objectives: Emotional eating is recognized as a potential contributor to weight gain. Emotional eaters often hide their problems because of feelings of shame about their behavior, making it challenging to provide them with the necessary support. The introduction of a virtual coach might offer a potential …

Obesity is a complex problem worldwide. This chronic condition has many different causes. One of them is emotional eating. In about 40% of overweight people, emotional eating plays a major role. Emotional eating is the tendency to (over)eat in response to negative emotions such as stress or irritability. …

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Densely populated areas are major sources of air, soil and water pollution. Agriculture, manufacturing, consumer households and road traffic all have their share. This is particularly true for the country featured in this paper: the Netherlands. Continuous pollution of the air and soil manifests itself …

Data is widely recognized as a potent catalyst for advancing healthcare effectiveness, increasing worker satisfaction, and mitigating healthcare costs. The ongoing digital transformation within the healthcare sector promises to usher in a new era of flexible patient care, seamless inter-provider communication, …

This communication aims to provide a framework on how to integrate the concept of Circular Economy (CE) when addressing real-life urban challenges such as resource scarcity, greenhouse gas emissions, pollution, waste, and high consumerism (Williams, 2019), through delivery of courses to students of various …

Background Emotional eating is a complex problem fostering obesity and resulting from maladaptive emotionregulation. Traditional behavioural weight loss interventions have shown insignificant effect. They can be improvedby targeting the specific needs of individuals with emotional eating. Objective The …

This paper introduces and examines a novel realized volatility forecasting model that makes use of Long Short-Term Memory (LSTM) neural networks and the risk metric financial turbulence (FT). The proposed model is compared to five alternative models, of which two incorporate LSTM neural networks and …