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Recent years have seen a sharply rising interest in the scientific area dedicated to the study of the use of Artificial Intelligence (AI) for Cognitive Behavioral Therapy (CBT) research and applications (AI4CBT for brevity). Yet, little is known about how this interest is realized and hence the overall status, prospects, and possible challenges of AI4CBT as a field (e.g. breadth of the field, key
Nuclear star clusters (NSCs) are among the densest stellar systems in the Universe and are found at the centres of many spiral and elliptical galaxies, and up to 40 percent of dwarf galaxies. However, their formation mechanisms, and possible links to globular clusters (GCs), remain debated. This paper uses cosmological simulations of dwarf galaxies at a spatial resolution of pc to present a new fo
This article presents an innovative participatory approach to the ethical aspects of conducting body mapping research. Drawing from experiences from an earlier project with digital sex workers, we examine how body mapping, when integrated with what we term “embodied oscillative ethics,” creates opportunities for meaningful collaboration and knowledge co-creation while addressing complex ethical ch
The exponential increase in medical waste production has increased the difficulty of waste management, resulting in higher medical waste dispersion into the environment. By employing a circular economy approach, it is possible to develop new materials by waste valorization. The employment of biodegradable and renewable agro-food, waste-derived materials may reduce the environmental impact caused b
A dislocation-based flow stress model is proposed to describe the behavior of Alloy 718 fabricated using laser-based and electron-beam powder bed fusion methods. This physics-based model is adaptive to microstructural variations including the size and volume fraction of γ″ precipitates, crystallographic texture, grain size and the density of immobile dislocations. Coupled with data from thermodyna
Electric scooters (e-scooters) have emerged as a fundamental component of urban micro-mobility, particularly in European cities during the Covid-19 pandemic. This study employs the Full Consistency Method (FUCOM) and Kendall rank correlation method to assess the preferences and priorities of university students in Catania, Italy, regarding e-scooter adoption. By analyzing influencing factors, this
Information- and data literacy, the ability to critically examine and evaluate information and arguments in relation to empirical evidence, is increasingly crucial in a world overflowing with data and information from a multitude of sources. Information- and data literacy in younger students being understudied, we investigate these skills in Swedish 6th graders to learn more about the educational
The rapid uptake of electric vehicles presents both opportunities and challenges for modern power systems. As charging demand increases, intelligent and data-driven approaches are essential to predict and manage future grid impacts. This paper presents a probabilistic and data-driven approach for generating realistic electric vehicle charging profiles, which can be integrated into probabilistic lo
The UK Hydrogen Strategy (August 2021) and subsequent Heat and Buildings Strategy (October 2021) affirm that a strategic decision is set to be taken by 2026 on the prospect of residential decarbonisation via ‘hydrogen homes’. As this decision date draws nearer, quantitative insights on consumer perceptions of hydrogen-fuelled heating and cooking appliances remain limited. The existing knowledge de
X-ray tomography is a well established technique for investigating three-dimensional bulk structures across scales, from macroscopic samples down to their microscopic constituents. The addition of a temporal dimension through dynamic, time-resolved acquisition results in four-dimensional datasets whose complexity often exceeds the processing capabilities of existing image analysis tools. To addres
Self-care interventions for sexual and reproductive health (SRH), including HIV self-testing, self-injected contraception and self-managed abortion, offer promising pathways to advance universal health coverage, particularly in low- and middle-income countries. While often framed as cost-saving measures, this paper argues that self-care should be understood as a strategic investment in health syst
Context: Anomaly detection is crucial for maintaining cloud-based software systems, as it enables early identification and resolution of unexpected failures. Given rapid and significant advances in the anomaly detection domain and the complexity of its industrial implementation, an overview of techniques that utilize real-world operational data is needed. Aim: This study aims to complement existin
Stabell and Fjeldstad (1998) proposed three value configurations; the value shop, the value chain and the value network based on Thompson’s (1967) three technologies as a typology. However, that Thompson’s technologies constitute a typology has been criticized (cf Barbini and Neri, 2017). Also, research has highlighted increased shifts in value configurations and hybrid forms. Thus, the question a
The increasing use of digital tools in archaeology has vastly expanded our capacity to document and visualise the past, yet the reasoning that connects evidence to interpretation often remains implicit or undocumented. This paper addresses that gapby integrating Inference to the Best Explanation (IBE)—a philosophical model of hypothesis evaluation—into the Archaeological Interactive Report (AIR),
Capacities for source localization in response to incidents involving radioactive materials are essential for effective, efficient response. In this context, the directional response of a detection system is of importance. Many solutions currently employed for source localization involve approaches that may be onerous with respect to cost, complexity and practicality for field operations. To avoid
Vitamin A deficiency (VAD) remains a severe health issue in sub-Saharan Africa, causing blindness, illness, and child mortality. In Mozambique, about 69% of children under five are affected, highlighting the short-term impact and donor dependence of supplementation programs. Mangoes (Mangifera indica L.), rich in provitamin A carotenoids, offer a sustainable, food-based strategy to reduce VAD, but
Thermal runaway in lithium-ion battery cells poses significant safety risks due to rapid heat generation and potential thermal propagation within a battery system. This study investigates the total heat released and the fraction of energy contained in gas and particles ejected during thermal runaway using a purpose-built calorimeter setup. The results show that the fraction of ejected heat is sign
The development and application of Electrochemical Quartz Crystal Microbalance (EQCM) sensing to study metal electroplating, especially for energy storage purposes, are reviewed. The roles of EQCM in describing electrode/electrolyte interface dynamics, such as the electric double-layer build-up, ionic/molecular adsorption, metal nucleation, and growth, are addressed. Modeling of the QCM sensor is
