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Large-scale psychometric assessment and validation of the modified COVID-19 Yorkshire rehabilitation scale patient-reported outcome measure for long COVID or Post-COVID syndrome
Get PDFThe C19-YRS was the first condition-specific for long COVID/post-COVID syndrome. Although the original C19-YRS evolved to the modified version (C19-YRSm) based on psychometric evidence, clinical content relevance, as well as feedback from patients and healthcare professionals, it has not been validated through Rasch analysis. The study aim was to psychometrically assess and validate the C19-YRSm using newly collected data from a large-scale, multicenter study (LOCOMOTION). In total, 1278 patients (67% Female; mean age = 48.6, SD 12.7) digitally completed the C19-YRSm. The psychometric properties of the C19-YRSm Symptom Severity (SS) and Functional Disability (FD) subscales were assessed using a Rasch Measurement Theory framework, assessing for individual item model fit, targeting, internal consistency reliability, unidimensionality, local dependency (LD), response category functioning and differential item functioning (DIF) by age group, sex and ethnicity. Rasch analysis revealed robust psychometric properties of both subscales, with each demonstrating unidimensionality, appropriate response category structuring, no floor or ceiling effects, and minimal LD and DIF. Both subscales also displayed good targeting and reliability (SS: Person Separation Index (PSI) = 0.81, Cronbach's α = 0.82; FD: PSI = 0.76, Cronbach's α = 0.81). Although some minor anomalies are apparent, the modifications to the original C19-YRS have strengthened its measurement characteristics and its clinical and conceptual relevance
Generative AI literacy for educators
No full textThe growing prevalence of GenAI in society, particularly in the field of education, has led to its recognition as a “game changer” (Lim et al., 2023, p.3). As GenAI becomes increasingly embedded in teaching and learning practices, understanding its impact on educators is essential (Chiu et al., 2023; Ng et al., 2023b). The rise of AI tools like ChatGPT is not merely an enhancement to existing teaching practices but serves as a catalyst for reshaping educational paradigms (Bozkurt, 2023). Universities have begun designing professional development modules, guidelines, and materials aimed at equipping teachers with the strategies necessary to incorporate AI into their instructional design and teaching strategies
SoTL in Practice: What It Is, What It Isn’t, and How to Get Started
No full textThis CMBE Community Meeting will tackle an important question for business and management educators: what is scholarship of teaching and learning (SoTL), and how can you get involved in ways that are realistic, valuable and relevant to your role?
The 90-minute session will focus on clarifying and demystifying SoTL within business and management education. It will explore how SoTL has developed, why it matters, and how it differs from other forms of research and scholarly teaching. It will also address common myths and misconceptions that can create confusion or act as barriers to engagement with SoTL.
The meeting will offer a supportive and accessible space to deepen engagement with SoTL and provide opportunities to connect with others
Self-initiated residential mobility in pandemic times: a Schumpeterian perspective
No full textThis paper reads voluntary residential relocation during the COVID-19 pan-demic in Romania through the lens of creative destruction, counter-balancingits more common framing of disruption. Revisiting Schumpeter’s classicthesis, we adapt its economic concepts into a social vocabulary of new“lifeforms,” “mutations” and “wants,” enacted by agentic pandemic moversin pursuit of a better way of life. Drawing on 77 qualitative questionnaires, weexamine how urban-to-rural and urban-to-urban movers negotiated push-and-pull factors, and to what extent their relocations reflect creative lifestyletransformations. We introduce the metaphor of “privileged mutations” todescribe urban-to-rural moves as deep forms of creative destruction: oldhousing wants were discarded and “revolutionary” new ones emerged,potentially setting in motion a second creative destruction, that of place.Yet, not all moves were radical: most urban-to-urban relocations reflectquieter transformations driven by a quest for home-comfort that thoserelatively privileged have always pursued along life-course while remainingattached to the buzz of urban life. By extending the Schumpeterian frame-work to the wants of voluntary residential mobility, we highlight its largelyuntapped potential in the social sciences, inviting scholars to consider howcrises can catalyze, not just disrupt, the ways in which people imagine andinhabit homes and places
Environmental education in the language classroom: English as a foreign language for sustainable futures
No full textWhose Robots? A Scientific Oligarchy in HRI Research?
No full textThis scientometric study provides a comprehensive analysis mapping the geographic power structure that governs human-robot interaction (HRI) research. This paper analyses the geographic distribution of HRI research from 2005 to 2025 (n = 4,461 publications) using Scopus-indexed data from six core HRI venues. The findings reveal a research field characterised by profound geographic concentration and scientific oligarchy, with Europe and North America collectively accounting for 78.9% of publications and 79.2% of citations. The analysis identifies three structural paradoxes that define the field’s economy: (1) a ‘Maturation Paradox’ emerging from the tension between rapid volume growth and declining impact among established leaders; (2) a ‘Collaboration Paradox’ where international partnerships yield asymmetric benefits, favouring emerging regions while offering minimal gains for established leaders; and (3) a ‘Concentration Paradox’, revealing the contradiction between HRI’s global aspirations and a consolidated power structure where influence remains fixed in culturally similar subregions. Trend analysis raises critical questions about intellectual diversity and how geographic concentration shapes the fundamental assumptions and future trajectories of HRI research
Improving the confidence of physics undergraduates in communication and teamwork skills
No full textThis study assesses the efficacy of the Physics Communication Project (PCP) in bolstering students’ confidence, particularly in teamwork and presentation abilities. The PCP is a group-work exercise for first year students taking Physics 1, the introductory course for all physics degrees at the University of Glasgow. It is designed to encourage and improve team and communication skills. The study delves into the PCP’s influence on student perceptions and experiences by employing χ2-analysis to look for statistically significant differences in quantitative data and the General Inductive Method to identify key themes in qualitative data. Findings reveal that students were initially apprehensive about public speaking. However, there was a significant improvement in students’ confidence levels in teamwork and presentations following participation in the PCP, with qualitative data emphasising the benefits of teamwork enhancements. Additionally, the PCP fosters community among participants, enhancing their academic journey beyond mere skill acquisition. Moreover, the PCP is vital in addressing gender disparities in confidence levels, particularly in presentations. Initially, women displayed notably lower confidence than men, but post-project, their confidence aligned with that of men, indicating substantial growth among female participants
From PSNR to frequency evidence: evaluating super-resolution reliability on low-SNR fluorescence channels
No full textExisting super-resolution evaluation systems for fluorescence microscopy images struggle to effectively detect potential artifacts in weak signal reconstruction. This study aims to establish a multi-dimensional evaluation framework that integrates frequency-domain evidence to verify the reliability of super-resolution techniques under low signal-to-noise ratio (SNR) conditions. All ground-truth (HR) images used in this study are experimentally acquired fluorescence microscopy data; the corresponding low-quality inputs are simulated from HR via controlled degradations (e.g., bicubic downsampling and frequency-truncation-based degradation) to enable paired quantitative evaluation. We designed a hierarchical comparative experiment to systematically evaluate the performance differences of CNN (SRCNN/FSRCNN), GAN (Real-ESRGAN), and Transformer (SwinIR) architectures on nucleus and whole-cell structure datasets. This study reveals a significant decoupling between “visual sharpness” and “signal fidelity”: while Real-ESRGAN can generate highly impactful high-frequency textures, its checkerboard effect in the spectrum and random residuals in the error map expose serious “illusion” risks, making it unsuitable for precise quantitative analysis. All ground-truth (HR) images used in this study are experimentally acquired fluorescence microscopy data; the corresponding low-quality inputs are simulated from HR via controlled degradations (e.g., bicubic downsampling and frequency-truncation-based degradation) to enable paired quantitative evaluation
A graphene field-effect transistor-based biosensor platform for the electrochemical profiling of amino acids
Get PDFIn this work, we present the introductory methodology for a graphene field-effect transistor (GFET)-based platform for probing the electrochemical fingerprints of amino acids, designed to enable stable and controlled surface chemistry and electrochemical measurements toward peptide and protein sequencing. We begin with a focused conceptual review that motivates electrochemical fingerprinting as a strategy for amino acid and peptide identification and contextualizes this approach within recent advances in protein manipulation relevant to sequencing. We then describe a graphene functionalization protocol that facilitates the directional attachment of amino acids onto the graphene surface. This surface chemistry is quantitatively characterized through surface plasmon resonance (SPR), yielding surface densities in the order of 1012 molecules/cm2. The same functionalization protocol enables in situ peptide synthesis directly on graphene, as demonstrated by the successful synthesis of a model tripeptide. To support electrochemical interrogation, we developed three complementary platforms for sensor preconditioning, surface functionalization, and titration-based electrochemical measurements, compatible with both aqueous and organic solutions. Preliminary stability measurements indicate a Dirac point drift below 10 mV over 45 min. Altogether, this work establishes the experimental foundations for electrochemical amino acid and peptide fingerprinting using GFET sensors and provides a framework for the future development of electrochemically enabled protein sequencing technologies
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