Anyone who has watched a child play with soft semi-liquid materials like honey, frosting, or slime, sees the fascinating interplay between design and physics. Many of us remember these experiences from our own childhood (or maybe not that long ago). These materials dribble and coil as they stack upon …

In the era of exponential technology growth, one unexpected guest has claimed a seat in classrooms worldwide: Artificial Intelligence. Generative AI, such as ChatGPT, promises a revolution in education, yet it arrives with a double-edged sword. Its potential for personalized learning is offset by issues …

Purpose Provide an overview of existing knowledge on the concept of identity and identity changes and formation of people with language disorders of aphasia. To date, there has been limited exploration of identity changes of people with aphasia as communication difficulties have been perceived as a barrier …

The importance of leadership is increasingly recognized in relation to digital transformation. Therefore, middle management and top management must have the competencies required to lead such a transformation. The purpose of this paper is to investigate the relationship between the digital leader competencies …

The world of electric mobility and charging infrastructure has accelerated in recent years: from a start-up to a mature market. During the last decade, researchers at Amsterdam University of Applied Sciences have contributed to making the rollout and use of charging infrastructure smarter. By analysing …

Fashion and textile practice transitioned over the past decade from a physically engaged design practice into a screen-based design practice with textiles simulated on digital bodies. Digital designers use tangible interaction with textiles for post-phenomenological design considerations. Our research …

In the era of exponential technology growth, one unexpected guest has claimed a seat in classrooms worldwide, Artificial Intelligence. Generative AI, such as ChatGPT, promises a revolution in education, yet it arrives with a double-edged sword. Its potential for personalized learning is offset by issues …

This paper presents a Python script that automates the estimation of Yang & Zhang’s stock realized volatility proxy for univariate and multivariate cases. Yang & Zhang’s realized volatility is a stock volatility proxy commonly used by financial researchers and practitioners due to its unbiasedness in …

This study proposes a novel loss function for neural network models that explores the topological structure of stock realized volatility (RV) data by adding Wasserstein Distance (WD). The study shows that the proposed loss statistically significantly improves the forecast accuracy of neural network models …

This paper describes some explorations on the concept of disassemblability as an important circularity indicator for products because of its severe impact on reuse value. Although usefulness of the concept for determining disassembly strategies and for improving circular product design clearly shows …