Medium-scale farms using anaerobic digestion must choose among different biogas utilization pathways, each with distinct technical and environmental implications. This study develops an integrated assessment framework that combines Aspen Plus process simulations with life cycle assessment in openLCA …

Power-to-X technologies play a crucial role in accelerating the energy and material transition. A key opportunity lies in integrating these systems with existing bio-based infrastructures such as anaerobic digesters, providing a reliable source of biogenic carbon. Developing effective Power-to-Methanol …

This study performs a systematic content analysis to map out the landscape of eighty-seven ethical tools concerning the type of ethical principles addressed, the approach promoted (technological vs. socio-technical vs. societal), and the kind of assessment endorsed (self-assessment versus assessment …

Addressing the challenges of road construction in high-temperature regions, this research focuses on the technical and economic comparison between traditional asphalt pavement and recycled plastic asphalt pavement. The overarching research question is: “Technical and economical comparison of traditional …

Environmental values are becoming increasingly important in restoration of historical buildings, while energy interventions can seriously damage historical qualities. Cultural-historical values and environmental values are often considered difficult to commensurate, with energy engineers and heritage …

In this paper, we present a digital tool named Diversity Perspectives in Social Media (DivPSM) which conducts automated content analysis of strategic diversity communication in organizational social media posts, using supervised machine-learning. DivPSM is trained to identify whether a post makes mention …

In this report, the researcher details the development of a dynamic weather system with a day and night cycle, seamlessly integrating it into an existing Virtual Reality (VR) application crafted by Indietopia for a local museum. To begin, the researcher delved into an exploration of various research …

Post-training quantization reduces the computational demand of Large Language Models (LLMs) but can weaken some of their capabilities. Since LLM abilities emerge with scale, smaller LLMs are more sensitive to quantization. In this paper, we explore how quantization affects smaller LLMs’ ability to perform …

Many ARM Cortex-M-based microcontrollers include tracing features which allow monitoring hardware events (e.g. exceptions occurring, a specific instruction being executed or a specific address range being accessed by the CPU). Tracing enables non-intrusive insight into software execution (i.e. software …

Before patients with chronic pain enter an interdisciplinary chronic pain rehabilitation programme, a team of various healthcare professionals performs a biopsychosocial analysis of their pain problem. To enhance patients’ engagement, the problem analysis is thoroughly discussed with them in order to …