Collaborating with industry partners, the study investigates the use of digital design and robotic technology to optimize the utilization of residual wood. By employing computational design, custom products can be generated from mixed wood batches, enabling circular applications previously unattainable …

To achieve the climate goals by 2030, Germany has introduced measures such as the expanding of renewable energy infrastructure and implementing policies that promote electric vehicles. These measures are intended to reduce the environmental footprint of the energy and mobility sectors. Light electrical …

Healthcare settings are increasingly adopting nature-based interventions (NBIs) to support users’ health and well-being, but these interventions are often underutilized. To get a grip on utilization problems, insight into factors that affect use and uptake of NBIs in routine care is needed. This scoping …

Analyzing historical decision-related data can help support actual operational decision-making processes. Decision mining can be employed for such analysis. This paper proposes the Decision Discovery Framework (DDF) designed to develop, adapt, or select a decision discovery algorithm by outlining specific …

Climate change calls for an energy transition utilizing all available renewable energy resources, such as bioenergy from biomass. However, the use of biomass is debated in society, and public acceptance is low or lacking. This survey-based research demonstrates for the first time that public acceptance …

This research investigates the impact of early facility management involvement on the effective utilization of building information modelling during the operation and maintenance phase. It looks at understanding the factors that encourage building owners to prioritize early facility manager engagement. …

Objective: This study aims to assess the comparative effectiveness of a conventional splitting needle or a peelable cannula vs. the modified Seldinger technique (MST) by utilizing a dedicated micro-insertion kit across various clinically significant metrics, including insertion success, complications, …

This study examines the integration of Connected Autonomous Transportation (CAT) systems at container terminals, focusing on identifying and prioritizing key performance indicators (KPIs) important to trucking companies. Using a mixed-methods approach, including a literature review, stakeholder interviews, …

ABSTRACT: Background Population aging is occurring worldwide. As a result, frailty and disability are in the full interest of practice, policy, and science. An increase in healthcare utilization is an adverse outcome of frailty and disability. Objective The aim of the present study was the prediction …

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 …