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Contested Integration in the Borderlands: Narrating the EU in German Regional Newspapers
No full text......Horizon Europe ref: 10065228 (B-SHAPES: Borders Shaping Perceptions of European Societies)
Rethinking job demands–resources-based interventions for evolving work environments: a problematizing review
Full text linkPurpose:
The Job Demands–Resources (JD-R) theory is widely used for workplace interventions targeting well-being, satisfaction and burnout reduction. However, shifting work contexts raise questions about the adaptability of its core constructs. This paper aims to critically examine how JD-R theory has been applied in intervention design, with particular attention to the assumptions that may limit responsiveness across diverse organizational and cultural settings.
Design/methodology/approach:
Adopting a problematization review approach, we analyze 109 studies that employ the JD-R theory in the design of workplace interventions. Our review identifies underlying assumptions, conceptual tensions and the ways in which demands and resources have been interpreted across different contexts, roles and cultures.
Findings:
The review reveals that JD-R constructs are often treated as stable and universally applicable, thereby constraining adaptability. We highlight overlooked assumptions and tensions, proposing a taxonomy of interventions that emphasizes contextual sensitivity, design flexibility and cross-level integration.
Practical implications:
The proposed taxonomy offers organizations a framework for developing workplace interventions that better align with diverse employee needs and evolving work environments.
Social implications:
By promoting more sustainable and responsive workplace interventions, this study supports healthier and more equitable organizational practices, with potential benefits for employee well-being across diverse cultural and occupational contexts.
Originality/value:
This paper applies problematization review to JD-R interventions, offering a novel critique that highlights contextual variation and adaptability, while providing a practical taxonomy for future applications
Thermo-mechanical simulation of microstructure and texture evolution in flat-strip extrusion of Al–Mg–Si-Cu alloy
Full text linkHighlights:
• Gleeble based thermo-mechanical simulation was developed to replicate the deformation conditions of flat strip extrusion.
• Deformation at 580°C reproduced key features: elongated grains, //ED fibre texture, and intermetallic morphology.
• Quantitative analysis confirmed strong agreement in microstructure and texture between simulation and industrial reference.
• The validated approach for capturing microstructure during strip extrusion and offers a path for microstructure and process optimisation.Data availability:
Data will be made available on request.Supplementary data are available online at: https://www.sciencedirect.com/science/article/pii/S0264127526002972#s0060 .Enhancing the mechanical properties of aluminium extrusions has been a subject of industrial interest for many years. Conventional approaches focused on tuning the extrusion parameters and have established correlations with the final microstructure, but a mechanistic understanding of how microstructures evolve during extrusion remains limited. To address this, a physical simulation methodology was developed for flat-strip extrusion, allowing detailed examination of microstructural evolution and providing a pathway for future microstructure and texture design. Currently, this work focuses on physically reproducing the microstructure and texture of the central region of an industrially extruded Al-Mg-Si-Cu flat strip by replicating its strain path. The microstructures and textures simulated using a Gleeble thermomechanical simulator were compared with industrial extrusion to assess the fidelity of the approach. The results demonstrate that the simulation at 580 °C reproduced elongated grain shape, dominant //ED texture and morphology of the intermetallics which are the key features of strip extrusion. Quantitative comparisons revealed close agreement in microstructure and texture, with limited differences. Overall, the study confirms that this method provides a reliable framework for capturing the deformation conditions of flat-strip extrusion. Beyond validation, the present approach provides a versatile platform for future studies aimed at investigating the onset and progression of recrystallisation, second-phase particle evolution, and strain path effects through systematic characterisation of microstructure at intermediate strain levels.This research was funded by EPSRC (UK) under Industrial Case (ICase) studentship programme and Constellium UK. The authors would like to acknowledge the use of the BCAST Advanced Characterisation Suite (BACS) set up through the funding received from UKRI Infrastructure grant: entitled “Future Metallurgy Centre”
Implementation challenges for achieving universal health coverage through social health protection scheme: what can we learn from Bangladesh?
No full textData availability statement:
The data that support the findings of this study are available from the corresponding author, SA, upon reasonable request.Supplemental material:
Supplemental data for this article can be accessed online at: https://www.tandfonline.com/doi/full/10.1080/17482631.2026.2623094#supplemental-material-section .Appendixes are available online at: https://www.tandfonline.com/doi/full/10.1080/17482631.2026.2623094#appendixes .Background:
In Bangladesh, households experience high out-of-pocket healthcare expenditure, with below-poverty-line population being disproportionately affected. To reduce financial hardship, the government piloted a social health protection scheme targeting poor households in selected sub-districts. This study examined the implementation barriers of the scheme.
Method:
A mixed-methods design was applied. Quantitative data were collected through survey of enrolled households (n = 806). The qualitative component comprised KIIs (n = 10) with scheme implementers and healthcare providers, and FGDs (n = 5) with beneficiaries.
Results:
Household survey indicated low service utilization (16.1%) among cardholders. Awareness of specific benefits was also limited, with only 19.1 percent aware of free diagnostics and 9.4 percent aware of free referrals. Qualitative findings confirmed these demand-side barriers, highlighting inadequate knowledge of beneficiaries, dissatisfaction with care quality, and negligence in service delivery. Key supply-side challenges included staff shortages, low provider motivation, and delays in claim settlement. The absence of outpatient coverage emerged as a common concern across stakeholders. At the ecosystem level, weak local-level coordination and rigid public financial rules further hindered implementation.
Conclusion:
Implementation challenges were largely systemic, reflecting misalignment between program design and operational realities. Addressing these challenges is essential to ensure the success of future initiatives in Bangladesh and comparable settings.The work was supported by the Swedish International Development Corporation Agency–Sida (Grant #: GR-01455)
Sanctioning the Facilitation of Irregular Migration: The Kinsa Light at the End of the Overcriminalisation Tunnel
No full text.....
Bridging the Divide: An Interdisciplinary Systematic Literature Review on the Evolution of Artificial Intelligence in Management and Technology Literature
No full text........
Nano CaCO₃ seeding for improving properties of limestone calcined clay cement through in-situ carbonation
Full text linkData availability:
Data will be made available on request.This is a PDF of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability. This version will undergo additional copyediting, typesetting and review before it is published in its final form. As such, this version is no longer the Accepted Manuscript, but it is not yet the definitive Version of Record; we are providing this early version to give early visibility of the article. Please note that Elsevier’s sharing policy for the Published Journal Article applies to this version, see: https://www.elsevier.com/about/policies-andstandards/sharing#4-published-journal-article . Please also note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.This study proposes an effective strategy to simultaneously enhance the mechanical performance and CO₂ sequestration capacity of limestone calcined clay cement (LC³) incorporating low-grade calcined clay through aqueous carbonation. 25% of the cement fraction in LC³ was subjected to aqueous carbonation for 10 to 40 mins with a water-to-solid ratio of 2.0, leading to the in-situ precipitation of nano-sized CaCO₃. A maximum CO₂ uptake of 15.78% was achieved after 40 min of carbonation. After mixing with the remaining materials of the LC³ formulation, the synergistic dilution and nucleation effects of in-situ nano CaCO₃ promoted the hydration of silicate and aluminate phases, thereby refining the pore structure of LC³. At 3 days, the fraction of fine capillary pores (10-50 nm) increased remarkably, reaching 54% and 60% after 30 and 40 min of carbonation, respectively, and this refinement was largely preserved at 28 days. Consequently, the 28-day compressive strength of LC³ mortars increased by 34.93% and 32.07% at carbonation durations of 30 and 40 min, respectively, compared with the control group. However, substantial consumption of portlandite during pre-carbonation constrained the later development of carboaluminate phases, which highlights a trade-off between enhanced early hydration and limited availability of secondary hydration products. These findings offer new insights into the role of in-situ CaCO₃ precipitation in modifying hydration and pore structure, demonstrating that aqueous carbonation is an effective route to enhance LC³ performance while facilitating CO₂ sequestration.Acknowledgement:
The authors would like to thank the financial support from the UKRI under grant EP/X04145X/1 (i.e., the CSTO2NE project), the European Commission under grant 893469 (i.e. the NEASCMs project), the Royal Society under grant IEC\NSFC\223146, the Major Innovation Project of Guangxi Zhuang Autonomous Region (Grant No. 2024AA10004), and the China-Africa Joint Laboratory for Advanced Low-Carbon Cementitious Materials (Grant No. 2023YFE0126000). The first author would also like to thank Zhongyuan University of Technology for providing a partial PhD scholarship to him to proceed with this study at Brunel University of Londo
Large Language Model-Based Gray Wolf Optimization for Near-Field ISAC Networks
Full text linkThe advent of extremely large antenna arrays and high-frequency signaling is expected to enable next-generation integrated sensing and communication (ISAC) networks to predominantly operate in the near-field region. Due to the dual influence of distance and angle on wave propagation characteristics in the near-field region, accurately modeling these characteristics remains a critical challenge. Motivated by the potential of large language models (LLMs) in angle prediction and distance estimation, an LLM-enhanced multi-objective optimization problem (MOOP) is developed to accurately capture the dependence of the channel on both the angular position and distance. The formulated LLM-enhanced MOOP framework is decomposed into a series of sub-problems, which can balance spectral efficiency for communication and localization accuracy for sensing. To overcome the computational and energy challenges associated with LLMs, a gray wolf optimization (GWO)-based algorithm is integrated as black-box search operator with LLM-specific prompt engineering to solve these sub-problems. Numerical results demonstrate that the proposed LLM-GWO scheme achieves an trade-off between communication and sensing performance, outperforming baseline approaches in terms of both Pareto front quality and convergence.This work has been supported in part by the National Natural Science Foundation of China under Grant 62371197, in part by the Natural Science Foundation of Guangdong Province under Grant 2024A1515011172, in part by the Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (No. 2019D06)
Sleep-Related Attentional Bias in Insomnia: A Drift Diffusion Model Approach.
Full text linkData Availability Statement:
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.Supporting Information is available online at: https://onlinelibrary.wiley.com/doi/full/10.1111/jsr.70315#support-information-section .Cognitive models propose that insomnia is maintained in part by selective attention to sleep-related information, yet reaction-time indices alone offer limited mechanistic specificity. We investigated sleep-related attentional bias in adolescents and young adults with insomnia disorder (n = 201; aged 15-24 years; DSM-5) using a sleep-related dot-probe task with sleep-related and neutral Cantonese Chinese word pairs. Trial-level responses were analysed with Hierarchical Drift Diffusion Modelling (HDDM) to estimate drift rate (v), the speed of evidence accumulation for probe response choices and to examine moderation by anxiety symptoms. Drift rates were higher on congruent than incongruent trials (q = 0.036), indicating faster evidence accumulation when the probe appeared in the location of sleep-related words, consistent with sleep-related attentional bias indexed indirectly via probe responses. Higher anxiety was associated with faster drift rates across both trial types (q = 0.023 and q = 0.024), consistent with generalised hyperarousal rather than selective enhancement of sleep-related bias. The congruency × anxiety interaction was not significant (95% HDI [-0.10, 0.31]). These findings provide computational evidence consistent with sleep-related attentional bias in young people with insomnia and suggest that comorbid anxiety is associated with broadly increased evidence accumulation rather than cue-specific amplification.General Research Fund of Research Grants Council, Hong Kong. Grant Number: 17613321;
Wellcome Trust. Grant Number: 225945/Z/22/Z;
NIHR Maudsley Biomedical Research Centre;
South London and Maudsley NHS Foundation Trust;
King’s College London;
University of Hong Kong
Data sources:
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