All Outputs (26493)

Information avoidance by younger adults with Type 1 diabetes: A preliminary empirical study (2024)
Journal Article
Ryan, B., & Webster, G. (2024). Information avoidance by younger adults with Type 1 diabetes: A preliminary empirical study. Information Research, 29(3), 56-73. https://doi.org/10.47989/ir293701

Introduction. People with Type 1 diabetes need to collect data to calculate their own insulin doses, and collect information about potential complications. However, information avoidance may be a barrier to such activities.
Method. A preliminary stu... Read More about Information avoidance by younger adults with Type 1 diabetes: A preliminary empirical study.

A New Zero Waste Design for a Manufacturing Approach for Direct-Drive Wind Turbine Electrical Generator Structural Components (2024)
Journal Article
Gonzalez-Delgado, D., Jaen-Sola, P., & Oterkus, E. (2024). A New Zero Waste Design for a Manufacturing Approach for Direct-Drive Wind Turbine Electrical Generator Structural Components. Machines, 12(9), Article 643. https://doi.org/10.3390/machines12090643

An integrated structural optimization strategy was produced in this study for direct-drive electrical generator structures of offshore wind turbines, implementing a design for an additive manufacturing approach, and using generative design techniques... Read More about A New Zero Waste Design for a Manufacturing Approach for Direct-Drive Wind Turbine Electrical Generator Structural Components.

MTFDN: An image copy‐move forgery detection method based on multi‐task learning (2024)
Journal Article
Liang, P., Tu, H., Hussain, A., & Li, Z. (online). MTFDN: An image copy‐move forgery detection method based on multi‐task learning. Expert Systems, https://doi.org/10.1111/exsy.13729

Image copy-move forgery, where an image region is copied and pasted within the same image, is a simple yet widely employed manipulation. In this paper, we rethink copy-move forgery detection from the perspective of multi-task learning and summarize t... Read More about MTFDN: An image copy‐move forgery detection method based on multi‐task learning.

Translation and validation of the Czech Partner version of the Birth Satisfaction Scale-Revised (BSS-R) (2024)
Journal Article
Lochmannová, A., Hollins Martin, C. J., & Martin, C. R. (online). Translation and validation of the Czech Partner version of the Birth Satisfaction Scale-Revised (BSS-R). Journal of Reproductive and Infant Psychology, https://doi.org/10.1080/02646838.2024.2401828

Background
The Birth Satisfaction Scale-Revised (BSS-R) is a widely used, psychometrically robust and brief self-report measure of birth experience from the mothers perspective. The current study sought to adapt and validate the BSS-R for partners,... Read More about Translation and validation of the Czech Partner version of the Birth Satisfaction Scale-Revised (BSS-R).

Politics without principle: potential borders and the ethics of anti-trafficking online (2024)
Journal Article
Sharapov, K., & Mendel, J. (in press). Politics without principle: potential borders and the ethics of anti-trafficking online. Environment & Planning C: Politics & Space,

Anti-trafficking has been spreading in a novel way, with moral certitude (where human trafficking is deemed uniquely wrong, and this wrongness is taken as a founding principle for anti-trafficking action) accompanied by little or no accountability. T... Read More about Politics without principle: potential borders and the ethics of anti-trafficking online.

Digital Musicianship in Post-Pandemic Popular Music Education (2024)
Journal Article
Cheng, L., Moir, Z., Bell, A. P., Humberstone, J., & Hein, E. (in press). Digital Musicianship in Post-Pandemic Popular Music Education. International Journal of Music Education,

The COVID-19 pandemic has brought about dramatic changes in popular music education, underscoring the importance of technology in both practice and transmission. Nevertheless, the celebration of technological integration as a one-stop solution has le... Read More about Digital Musicianship in Post-Pandemic Popular Music Education.

Coming and going: A narrative review exploring the push-pull factors during nurses’ careers (2024)
Journal Article
Ejebu, O.-Z., Philippou, J., Turnbull, J., Rafferty, A. M., Palmer, W., Prichard, J., Atherton, I., Jamieson, M., Rolewicz, L., Williams, M., & Ball, J. (2024). Coming and going: A narrative review exploring the push-pull factors during nurses’ careers. International Journal of Nursing Studies, 160, Article 104908. https://doi.org/10.1016/j.ijnurstu.2024.104908

Background: Shortages of nurses are one of the biggest challenges healthcare systems face around the world. Given the wide range of contexts and individuals working in nursing, a ‘one-size-fits-all’ retention strategy is unlikely to be effective. Kno... Read More about Coming and going: A narrative review exploring the push-pull factors during nurses’ careers.

The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes (2024)
Presentation / Conference Contribution
Pijning, I., Koppenhol, L., Dijkzeul, D., Brouwer, N., Thomson, S. L., & van den Berg, D. (2024, November). The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes. Paper presented at ECTA 2024: 16th International Conference on Evolutionary Computation Theory and Applications, Porto, Portugal

This study compares the performance of the hillClimber algorithm to that of the hillClimber with a plugged in Frequency Fitness Assignment (FFA) method on the optimization of 240 Job Shop Scheduling Problem (JSSP) instances. The JSSP instances have b... Read More about The Performance of Frequency Fitness Assignment on JSSP for Different Problem Instance Sizes.

In-person and online mixed method non-randomised studies exploring feasibility and acceptability of HEADS: UP, an adapted Mindfulness-Based Stress Reduction programme for stroke survivors experiencing symptoms of anxiety and depression (2024)
Journal Article
Lawrence, M., Davis, B., Clark, N. E., Booth, J., Donald, G., Dougall, N., Grealy, M., Jani, B., MacDonald, J., Mason, H., Maxwell, M., Parkinson, B., Pieri, M., Wang, X., & Mercer, S. (2024). In-person and online mixed method non-randomised studies exploring feasibility and acceptability of HEADS: UP, an adapted Mindfulness-Based Stress Reduction programme for stroke survivors experiencing symptoms of anxiety and depression. Pilot and Feasibility Studies, 10(1), Article 119. https://doi.org/10.1186/s40814-024-01545-w

Background
Depression and anxiety are prevalent after stroke and associated with poor outcomes. We previously co-developed a stroke-specific self-management intervention, HEADS: UP (Helping Ease Anxiety and Depression after Stroke). The two studies... Read More about In-person and online mixed method non-randomised studies exploring feasibility and acceptability of HEADS: UP, an adapted Mindfulness-Based Stress Reduction programme for stroke survivors experiencing symptoms of anxiety and depression.

Impacts of forest extent, configuration and landscape context on presence of declining breeding Eurasian curlew Numenius arquata and implications for planning new woodland (2024)
Journal Article
McGrory, R. E., Briers, R. A., Tomlin, C., Findlay, M. A., Kerslake, L. J., Riddle, N., & White, P. J. (2024). Impacts of forest extent, configuration and landscape context on presence of declining breeding Eurasian curlew Numenius arquata and implications for planning new woodland. Forest Ecology and Management, 572, Article 122281. https://doi.org/10.1016/j.foreco.2024.122281

In response to the combined impacts of the climate and biodiversity crises, as well as for timber security and increased recreational access to green spaces, there is a global drive to increase tree cover. In the UK, an estimated 1.5 million ha of af... Read More about Impacts of forest extent, configuration and landscape context on presence of declining breeding Eurasian curlew Numenius arquata and implications for planning new woodland.

Discovery of Benzopyrone-Based Candidates as Potential Antimicrobial and Photochemotherapeutic Agents through Inhibition of DNA Gyrase Enzyme B: Design, Synthesis, In Vitro and In Silico Evaluation (2024)
Journal Article
Abd El-Haleem, A., Ammar, U., Masci, D., El-Ansary, S., Abdel Rahman, D., Abou-Elazm, F., & El-Dydamony, N. (2024). Discovery of Benzopyrone-Based Candidates as Potential Antimicrobial and Photochemotherapeutic Agents through Inhibition of DNA Gyrase Enzyme B: Design, Synthesis, In Vitro and In Silico Evaluation. Pharmaceuticals, 17(9), Article 1197. https://doi.org/10.3390/ph17091197

Bacterial DNA gyrase is considered one of the validated targets for antibacterial drug discovery. Benzopyrones have been reported as promising derivatives that inhibit bacterial DNA gyrase B through competitive binding into the ATP binding site of th... Read More about Discovery of Benzopyrone-Based Candidates as Potential Antimicrobial and Photochemotherapeutic Agents through Inhibition of DNA Gyrase Enzyme B: Design, Synthesis, In Vitro and In Silico Evaluation.

Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing (2024)
Journal Article
Zhao, L., Li, T., Meng, G., Hawbani, A., Min, G., Al-Dubai, A., & Zomaya, A. (online). Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing. IEEE Transactions on Computers, https://doi.org/10.1109/TC.2024.3457729

Vehicular Edge Computing (VEC) is a transportation-specific version of Mobile Edge Computing (MEC) designed for vehicular scenarios. Task offloading allows vehicles to send computational tasks to nearby Roadside Units (RSUs) in order to reduce the co... Read More about Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing.

A method for constrained energy-maximising control of heaving wave-energy converters via a nonlinear frequency response (2024)
Presentation / Conference Contribution
Guiver, C. (2024, August). A method for constrained energy-maximising control of heaving wave-energy converters via a nonlinear frequency response. Presented at The 8th IEEE Conference on Control Technology and Applications (CCTA) 2024, Newcastle Upon Tyne

A theoretical grounding is presented for justifying how frequency domain methods may be applied in the determination of constrained extracted-energy maximising controls in wave-energy conversion applications subject to nonlinear models. A computation... Read More about A method for constrained energy-maximising control of heaving wave-energy converters via a nonlinear frequency response.

Unregulated Futures: Scenario Planning for the Unknown (2024)
Presentation / Conference Contribution
Crawford, M., Roubelat, F., & Marchais-Roubelat, A. (2024, September). Unregulated Futures: Scenario Planning for the Unknown. Presented at Anticipation 2024, Lancaster, UK

Building from years of piloting novel methods for future visioning through group engagement, this curated session will take attendees through a fast-tracked, yet fully- immersive scenario planning workshop. The prompt is, “What does 2034 look like if... Read More about Unregulated Futures: Scenario Planning for the Unknown.

Designing out Barriers - Student Partnership for Student Voice Research (2024)
Presentation / Conference Contribution
Garden, C., Skelton, F., & Calabrese, P. (2024, September). Designing out Barriers - Student Partnership for Student Voice Research. Presented at RAISE Annual Conference 2024, Leicester

We are committed to creating a culture of inclusion at Edinburgh Napier University. Listening to and respecting the student voice are part of the culture – to be an inclusive university we must have ways to hear every student and work to remove any b... Read More about Designing out Barriers - Student Partnership for Student Voice Research.

Differences in prescribing and dispensing at end-of-life between people who died at home before and during the Covid-19 pandemic in Scotland. (2024)
Presentation / Conference Contribution
Savinc, J., & Atherton, I. (2024, September). Differences in prescribing and dispensing at end-of-life between people who died at home before and during the Covid-19 pandemic in Scotland. Presented at International Population Data Linkage Network (IPDLN) 2024, Chicago, IL, USA

The occupational roles of nurses and midwives in the UK: an analysis of the Nursing and Midwifery Council-census England and Wales 2021 data linkage study (2024)
Presentation / Conference Contribution
Jamieson, M., Savinc, J., & Atherton, I. (2024, September). The occupational roles of nurses and midwives in the UK: an analysis of the Nursing and Midwifery Council-census England and Wales 2021 data linkage study. Presented at International Population Data Linkage Network (IPDLN) 2024, Chicago, IL, USA

RELEASE: Preliminary results from a novel data-linkage study into mental health and substance use service utilisation by people released from Scottish prisons (2024)
Presentation / Conference Contribution
Savinc, J., Kjellgren, R., Connell, C., & Hunt, K. (2024, September). RELEASE: Preliminary results from a novel data-linkage study into mental health and substance use service utilisation by people released from Scottish prisons. Presented at International Population Data Linkage Network (IPDLN) 2024, Chicago, IL, USA

Objectives
People released from prison are at increased risk of dying by suicide, drug overdose, and illnesses related to drugs and alcohol. International literature demonstrates patterns in health service access that imply service accessibility may... Read More about RELEASE: Preliminary results from a novel data-linkage study into mental health and substance use service utilisation by people released from Scottish prisons.

The EU Commission touches upon the meaning of undertaking while exercising its power to obtain information (RAI/UNITEL) (2024)
Other
Torti, V. (2024). The EU Commission touches upon the meaning of undertaking while exercising its power to obtain information (RAI/UNITEL)

Case Comment on the EU Commission's decision in the 1978 competition law case RAI/UNITEL.

Transition-aware human activity recognition using an ensemble deep learning framework (2024)
Journal Article
Khan, S. I., Dawood, H., Khan, M., F. Issa, G., Hussain, A., Alnfiai, M. M., & Adnan, K. M. (2025). Transition-aware human activity recognition using an ensemble deep learning framework. Computers in Human Behavior, 162, Article 108435. https://doi.org/10.1016/j.chb.2024.108435

Understanding human activities in daily life is of utmost importance, especially in the context of personalized and adaptive ubiquitous learning. Although existing HAR systems perform well-identifying activities based on their inter-spatial and tempo... Read More about Transition-aware human activity recognition using an ensemble deep learning framework.