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Book review of the book “The Affective Dimension in English-medium instruction in higher education” by D. Lasagabaster, A. Fernández-Costales & F. de Lis González-Mujico (Ed)
Get PDFEnglish-medium instruction (EMI) has become a defining feature of the internationalisation of higher education, yet research in this area has long privileged cognitive, linguistic, and achievement-oriented perspectives (Curle et al., 2025). Despite the rapid expansion of EMI scholarship, affective dimensions such as emotion, identity, wellbeing, motivation, and belief systems have frequently been treated as peripheral rather than constitutive elements of teaching and learning (Rose et al., 2026). The Affective Dimension in English-Medium Instruction in Higher Education addresses this imbalance directly. The edited volume offers a sustained and empirically grounded examination of affect as a central lens through which EMI practices, experiences, and outcomes can be more fully understood
Hybrid Simulation-Based Algorithm Tuning for Production Speed Management System as a Stand-Alone Online Digital Twin
Get PDFOne of the primary in-built components of smart, continuous manufacturing lines is the production speed management system (PSMS). In addition to being overly cautious, the decisions made in these systems may center on making local adjustments to the manufacturing process, indicating a major drawback of such systems that prevents them from acting as proper digital twins. This study delves into hybridizing the continuous and discrete event simulation, DOE, and V-graph methods to redefine PSMS's internal decision algorithms and procedures, giving it an aerial perspective of the line and turning it into a stand-alone online digital twin with decisions at a system level. The proposed approach is applied to a practical case from the food and beverage industry to validate its effectiveness. Numerical results demonstrated an intelligent, dynamic balancing of the production line, a substantial increment in productivity, and up to 37.7 % better resiliency against new failure and repair patterns
Dataset for a framework for assessing the impact of geometric imperfections in concrete shell structures using deep learning
No full textThis dataset contains scripts and data supporting the following following thesis: Pollet, M. (2025). Rapid structural analysis of prefabricated thin concrete shells using deep learning (Thesis). University of Bath. Concrete thin-shells are materially efficient structures, which can be used to reduce the environmental impact of concrete structures. However, geometric imperfections, which may occur during production can negatively impact their structural behaviour. While this impact can be assessed through Finite Element Analysis (FEA), a faster analysis method, such as surrogate modelling, could benefit concrete shell manufacturers. This dataset contains deep learning models – Multilayer Perceptrons, and Convolutional Neural Networks – that have been trained to predict the buckling factor and stress fields of geometrically imperfect concrete thin-shells of various shapes under design loads. It also contains the Python scripts that were used to train these models and assess their performance. Running these scripts necessitates the associated ConcreteShellFEA dataset to be downloaded. Further details about this data can be found in the related thesis
Tertiary phosphane-modified Ni(II) 1,3-Benzothiazol-2-ylacetonitriledithiolates:Tuning heterogeneous OER electrocatalysis through phosphane denticity, steric modulation, and chelate ring-size variation
Get PDFDeveloping robust and active transition metal-based electrocatalysts for the generation of oxygen is crucial for enhancing the performance of numerous energy conversion systems. In this study, syntheses and characterization of three new heteroleptic Ni(II) dithiolate complexes: [(Bzdt)Ni(PPh3)2] (NiBz1), [(Bzdt)Ni(dppe)] (NiBz2), and [(Bzdt)Ni(dppf)] (NiBz3), (where Bzdt2-, PPh3, dppe, and dppf represents 1,3-benzothiazol-2-ylacetonitriledithiolate, triphenylphosphine, 1,2-bis(diphenylphosphino)ethane, and 1,1ʹ-bis(diphenylphosphino)ferrocene, respectively) have been presented. These complexes have been characterized using several spectroscopic techniques, FESEM-EDX, and for NiBz2 using single crystal X-ray diffraction. Structural investigations reveal that Ni(II) center in NiBz2 is coordinated to two S atoms from dithiolate ligand and two P atoms from dppe ligand forming a distorted square planar geometry. Hirshfeld surface analysis indicates the presence of key non-covalent interactions, including C-H···S, C-H···C, C-H···Ni, and C-H···N, which support the stability of the supramolecular framework. Electrochemical investigations of these complexes as OER electrocatalysts in alkaline media reveal that all three show notable activity (j > 46.11 mA.cm-2 at 10 mV·s-1), with NiBz2 standing out due to its lowest overpotential (η = 354 mV at j = 10 mA.cm-2) and Tafel slope (53 mV.dec‑1). This performance places NiBz2 among the best heterogeneous Ni(II)-dithiolate based OER electrocatalysts so far reported. Its outstanding activity is attributed to a combination of favorable electronic properties, such as a reduced charge-transfer gap and charge transfer resistance, which facilitate efficient electron transfer during catalysis. Overall, this study showcases that phosphine-derived steric and electronic tuning enables charge-transfer gap engineering within Ni(II)-dithiolate frameworks, and establishes a clear correlation between ligand-dependent electronic structure and OER performance.</p
Vortex-carrying solitary gravity waves of large amplitude
Get PDFIn this paper, we study two-dimensional traveling waves in finite-depth water that are acted upon solely by gravity. We prove that, for any supercritical Froude number (non-dimensionalized wave speed), there exists a continuous one-parameter family C of solitary waves in equilibrium with a submerged point vortex. This family bifurcates from an irrotational uniform flow, and, at least for large Froude numbers, extends up to the development of a surface singularity or blowup of the circulation. These are the first rigorously constructed gravity wave-borne point vortices without surface tension, and notably our formulation allows the free surface to be overhanging. We also provide a numerical bifurcation study of traveling periodic gravity waves with submerged point vortices, which strongly suggests that some of these waves indeed overturn. Finally, we prove that at generic solutions on C—including those that are large amplitude or even overhanging—the point vortex can be desingularized to obtain solitary waves with a submerged hollow vortex. Physically, these can be thought of as traveling waves carrying spinning bubbles of air.</p
Coherent forecasts for tourism demand with automated immutability constraints
Get PDFThis study tackles key challenges in tourism demand forecasting within a hierarchical time series framework. To ensure coherence across aggregation levels and improve forecasting performance, we incorporate immutability constraints that preserve forecasts for strategically important nodes. Two automated selection methods are proposed to identify such nodes: (i) a clustering-based approach that ensures dispersion across levels, and (ii) a penalized optimization approach that selects immutable nodes based on data-driven criteria. Through Monte Carlo simulations, and two empirical applications, we demonstrate that the proposed methods improve forecast accuracy, robustness and flexibility while preserving interpretability. The framework is model-agnostic with respect to base forecasts and provides tourism managers with a scalable, data-driven tool to focus on critical segments, improve resource allocation, and support strategic planning in tourism management
The dynamic effects of becoming disabled on work, wages and wellbeing in the UK from 1991 to 2018
Get PDFOver recent decades it has consistently been shown that disabled adults in the UK fare worse in the labour market and have lower levels of wellbeing than non-disabled adults. However, this is in part due to the selection into dis-ability of those with existing socio-economic disadvantages. In this article, we use panel data from the combined British Household Panel Survey and Understanding Society, covering the 27-years from 1991 to 2018, to distinguish between the effect of selection, the effect of dis-ability onset and the effect of dis-ability duration on a range of labour market and wellbeing outcomes. We show that there is important selection both into dis-ability and into longer experience of dis-ability on the basis of observable characteristics. We also show the importance of controlling for time-invariant unobservable individual characteristics that similarly affect selection into dis-ability and duration of dis-ability. Even after controlling for both forms of selection we find significant negative effects of dis-ability onset and duration, and offer policy solutions to address them
Photo- and electro-luminescence studies of a new nine-coordinate ternary Eu(III) complex
Get PDFA new 4′-(3,4-dimethoxyphenyl)-2,2′:6′,2″-terpyridine (DmP-TerPy) ligand has been synthesized and utilized as the ancillary ligand in conjunction with the primary antenna ligand 4,4,4-trifluoro-1-phenyl-1,3-butanedione (btfa) to develop a new nine coordinate red emitting ternary Eu(III) complex, [Eu(btfa) 3(DmP-TerPy] (Eu1). Eu1 was characterised by analytical and spectroscopic techniques and its photophysical properties were analysed. The experimental results were complemented by computational methods, namely, density functional theory (DFT), time-dependent density functional theory (TD-DFT), and the Lanthanide Luminescence Software Package (LUMPAC), to establish the photoluminescence (PL) properties of the sensitised Eu(III) complex and the energy transfer (EnT) processes involved. Finally, to test the application of Eu1 as a narrow band red emitter, the material was used as the emitting layer (EML) in a multi-layered host-guest device to fabricate highly monochromatic red organic light-emitting diodes (R-OLED).</p
Does preferred technique influence how kinematics change during a run to exhaustion?—A cluster based approach
Get PDFFatigue-related changes in running technique may depend on a runner’s preferred style. Understanding these changes can inform targeted training to enhance performance. In previous work, we identified two technique-based clusters of runners: the “neutral pelvis” and the “tilted pelvis” clusters. This follow-up study examined whether fatigue induces cluster-specific technique adaptations. Sixty runners (neutral pelvis, n = 32; tilted pelvis, n = 28) completed a treadmill run to exhaustion at 5% above their individual lactate threshold speed. Stride frequency, duty factor, trunk and lower limb kinematics were compared between clusters at the start, middle, and end of the run using a 2-way repeated measures analysis of variance (ANOVA). All runners reached exhaustion in ∼20 minutes, covering ∼5 km. Runners from the tilted pelvis cluster consistently showed greater trunk-to-pelvis extension, more pelvic anterior tilt and greater hip flexion, and a smaller duty factor compared with the neutral pelvis cluster throughout the run. Fatigue-related adaptations were similar across clusters: reduced stride frequency, increased duty factor, greater trunk flexion during stance, increased plantar flexion, and higher coordination variability (trunk-to-pelvis–hip, hip–knee, knee–ankle) during swing. Although fatigue affected both groups similarly, the underlying technique differences suggest these adaptations may have distinct mechanical or performance consequences. Understanding such cluster-specific responses can help coaches tailor training and fatigue management strategies to individual running styles
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