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Screening and Assessment of Gambling in Military Populations : A Systematic Review and Gap Analysis
(2025-12) Rayner, Chloe; Treacy, Samantha; Dighton, Glen; Champion, Hannah; Dymond, Simon; Department of Psychology
Purpose of Review: This review evaluates the use of assessment and screening tools for gambling behaviour in military populations. Although military personnel and veterans face elevated risks, most available tools were developed for general populations and may not account for military-specific factors. The review identifies the screening and assessment measures used in military population studies, assesses their psychometric properties, and highlights key methodological gaps through a structured gap analysis. Recent Findings: Across 46 studies, 28 screening or assessment tools were identified, including commonly used measures such as the PGSI, SOGS, BBGS, GRCS, MAGS, and NODS-CLiP. While these tools vary in length and purpose, none were specifically designed or validated for use with military populations. Validation studies showed inconsistent reliability, sensitivity, and specificity. Notably, no tools adequately reflected military-relevant issues such as deployment stress, occupational impact, or co-occurring mental health conditions. Barriers to accurate screening, including stigma and underreporting, further complicate assessment in this context. Summary: There is a critical need for the development of validated, military-specific screening and assessment tools that address the unique experiences and risks within this population. Existing measures may underestimate or misclassify gambling-related harm, limiting early identification and effective intervention. Future research should prioritise the design and validation of tailored tools that can support accurate screening and assessment, reduce stigma, and inform better-targeted prevention and treatment strategies for military personnel and veterans.
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The future of learning : how artificial intelligence and other new technologies revolutionize project management education and foster Project Learning Intelligence
(2025-12) Mariani, Costanza; Aaltonen, Kirsi; Ingason, Helgi þor; Mancini, Mauro; Huemann, Martina; Department of Engineering
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Personalised learning in project management education : Insights from an artificial intelligence-driven chatbot
(2025-12) Ingason, Helgi Thor; Aaltonen, Kirsi; Asmundarson, Atli Snaer; Fridgeirsson, Thordur Vikingur; Huemann, Daniel; Huemann, Martina; Kujala, Jaakko; Lampela, Hannele; Mancini, Mauro; Mariani, Costanza; Ringhofer, Claudia; Department of Engineering
The increasing complexity of project-based work in contemporary organisations calls for a transformation in how project management is taught. Traditional teaching approaches struggle to support self-directed, context-sensitive, and motivationally engaging learning experiences—skills that are critical for preparing future project leaders. In this context, there is growing interest in the potential of artificial intelligence-powered tools to enhance the quality and adaptability of educating future project managers. This paper explores the application of artificial intelligence-driven chatbots in university-level project management education through the lens of the two-year international project ”ChatLearn” conducted across four European countries. Using an action design research methodology, the project iteratively developed and tested a chatbot in three versions, progressively integrating feedback from students and educators. The study suggests that artificial intelligence-based chatbots hold significant promise for supporting personalised learning journeys and increasing student motivation; however, their integration requires careful design, ongoing dialogue within the teaching community, and a strong alignment with pedagogical objectives.
Verk
Optimal field-free magnetization switching via spin-orbit torque on the surface of a topological insulator
(2025-12) Miranda, Ivan P.; Kwiatkowski, Grzegorz J.; Holmqvist, Cecilia M.; Canali, Carlo M.; Lobanov, Igor S.; Uzdin, Valery M.; Manolescu, Andrei; Bessarab, Pavel F.; Erlingsson, Sigurdur I.; Department of Engineering
We present an optimal field-free protocol for current-induced switching of a perpendicularly magnetized ferromagnetic insulator nanoelement on the surface of a topological insulator. The time dependence of in-plane components of the surface current, which drives the magnetization reversal via the Dirac spin-orbit torque with minimal Joule heating, is derived analytically as a function of the switching time and material properties. Our analysis identifies that energy-efficient switching is achieved for vanishing damping-like torque. The optimal reversal time that balances switching speed and energy efficiency is determined. When we compare topological insulators to heavy-metal systems, we find similar switching costs for the optimal ratio between the spin-orbit torque coefficients. However, topological insulators offer the advantage of tunable material properties. Finally, we propose a robust and efficient simplified switching protocol using a down-chirped rotating current pulse, tailored to realistic ferromagnetic/topological insulator systems.
Verk
Implementation of a multi-terminal quantum sorter in solid state systems
(2025-12) Preda, Amanda Teodora; Ghiu, Iulia; Ion, Lucian; Wulf, Ulrich; Manolescu, Andrei; Nemnes, George Alexandru; Department of Engineering
Identifying quantum states stands at the core of quantum information processing. However, an accurate observable measurement can pose a tough challenge whenever multiple outcomes are possible, e.g. measuring momentum vs. electron spin, which takes only two components. Quantum systems with a larger number of degrees of freedom increase the options for quantum computations and may enhance the quantum parallelism. Our goal in this work is to define a system that functions as a quantum sorter in a concrete manner, by choosing an interaction Hamiltonian that enables the device to separate the eigenstates into multiple output ports, achieving a so-called mode-lead disentanglement. To this end, we implemented numerically the -matrix formalism, which was developed to solve scattering transport problems in solid state systems. The states that are aimed to be separated are described by the transverse momentum of the incident modes and by their spin component, as a possible implementation of qudits. In order to achieve the desired resolution in terms of mode and spin, we study a range of possible Hamiltonians, corresponding to different configurations of the scattering potential.

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