All Outputs (2129)

Exposure to Plasticiser DEHP Affects Eggs Spawned by Blue Mussels: A Possible Risk to Fertilisation? (2024)
Journal Article
Mincarelli, L. F., Turner, A., Anderson, G., & Wollenberg Valero, K. (2024). Exposure to Plasticiser DEHP Affects Eggs Spawned by Blue Mussels: A Possible Risk to Fertilisation?. Toxics, 12(3), Article 172. https://doi.org/10.3390/toxics12030172

The endocrine disruptive chemical DEHP is a plasticiser often found in marine waters. Here, we assessed the effect of this additive on the number and size of eggs spawned by female mussels during a synchronised spawning event. After achieving the rip... Read More about Exposure to Plasticiser DEHP Affects Eggs Spawned by Blue Mussels: A Possible Risk to Fertilisation?.

A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem (2024)
Journal Article
Lin, B., Li, J., Cui, T., Jin, H., Bai, R., Qu, R., & Garibaldi, J. (2024). A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem. Expert Systems with Applications, 249, Article 123515. https://doi.org/10.1016/j.eswa.2024.123515

The online bin packing problem is a well-known optimization challenge that finds application in a wide range of real-world scenarios. In the paper, we propose a novel algorithm called FuzzyPatternPack(FPP), which leverages fuzzy inference and pattern... Read More about A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem.

Perception and appropriation of a web-based recovery narratives intervention: qualitative interview study (2024)
Journal Article
Ali, Y., Rennick-Egglestone, S., Llewellyn-Beardsley, J., Ng, F., Yeo, C., Franklin, D., Perez Vallejos, E., Ben-Zeev, D., Kotera, Y., & Slade, M. (2024). Perception and appropriation of a web-based recovery narratives intervention: qualitative interview study. Frontiers in Digital Health, 6, Article 1297935. https://doi.org/10.3389/fdgth.2024.1297935

Introduction

Mental health recovery narratives are widely available to the public, and can benefit people affected by mental health problems. The NEON Intervention is a novel web-based digital health intervention providing access to the NEON Colle... Read More about Perception and appropriation of a web-based recovery narratives intervention: qualitative interview study.

Self-Bidirectional Decoupled Distillation for Time Series Classification (2024)
Journal Article
Xiao, Z., Xing, H., Qu, R., Li, H., Feng, L., Zhao, B., & Yang, J. (2024). Self-Bidirectional Decoupled Distillation for Time Series Classification. IEEE Transactions on Artificial Intelligence, https://doi.org/10.1109/tai.2024.3360180

Over the years, many deep learning algorithms have been developed for time series classification (TSC). A learning model’s performance usually depends on the quality of the semantic information extracted from lower and higher levels within the repres... Read More about Self-Bidirectional Decoupled Distillation for Time Series Classification.

Discrete-Time Survival Models with Neural Networks for Age–Period–Cohort Analysis of Credit Risk (2024)
Journal Article
Wang, H., Bellotti, A., Qu, R., & Bai, R. (2024). Discrete-Time Survival Models with Neural Networks for Age–Period–Cohort Analysis of Credit Risk. Risks, 12(2), Article 31. https://doi.org/10.3390/risks12020031

Survival models have become popular for credit risk estimation. Most current credit risk survival models use an underlying linear model. This is beneficial in terms of interpretability but is restrictive for real-life applications since it cannot dis... Read More about Discrete-Time Survival Models with Neural Networks for Age–Period–Cohort Analysis of Credit Risk.

Local-global methods for generalised solar irradiance forecasting (2024)
Journal Article
Cargan, T. R., Landa-Silva, D., & Triguero, I. (2024). Local-global methods for generalised solar irradiance forecasting. Applied Intelligence, 54(2), 2225-2247. https://doi.org/10.1007/s10489-024-05273-9

For efficient operation, solar power operators often require generation forecasts for multiple sites with varying data availability. Many proposed methods for forecasting solar irradiance / solar power production formulate the problem as a time-serie... Read More about Local-global methods for generalised solar irradiance forecasting.

Sodium-glucose cotransporter-2 inhibitors (SGLT2) in frail or older people with type 2 diabetes and heart failure: a systematic review and meta-analysis (2024)
Journal Article
Aldafas, R., Crabtree, T., Alkharaiji, M., Vinogradova, Y., & Idris, I. (2024). Sodium-glucose cotransporter-2 inhibitors (SGLT2) in frail or older people with type 2 diabetes and heart failure: a systematic review and meta-analysis. Age and Ageing, 53(1), Article afad254. https://doi.org/10.1093/ageing/afad254

Objective: Sodium-glucose cotransporter-2 inhibitors (SGLT2Is) reduce cardio-metabolic and renal outcomes in patients with type 2 diabetes (T2D) but their efficacy and safety in older or frail individuals remains unclear. Methods: We searched PubMed,... Read More about Sodium-glucose cotransporter-2 inhibitors (SGLT2) in frail or older people with type 2 diabetes and heart failure: a systematic review and meta-analysis.

Boundary-wise loss for medical image segmentation based on fuzzy rough sets (2024)
Journal Article
Lin, Q., Chen, X., Chen, C., & Garibaldi, J. M. (2024). Boundary-wise loss for medical image segmentation based on fuzzy rough sets. Information Sciences, 661, Article 120183. https://doi.org/10.1016/j.ins.2024.120183

The loss function plays an important role in deep learning models as it determines the model convergence behavior and performance. In semantic segmentation, many methods utilize pixel-wise (e.g. cross-entropy) and region-wise (e.g. dice) losses while... Read More about Boundary-wise loss for medical image segmentation based on fuzzy rough sets.

Dementia with Lewy Bodies: Genomics, Transcriptomics, and Its Future with Data Science (2024)
Journal Article
Goddard, T. R., Brookes, K. J., Sharma, R., Moemeni, A., & Rajkumar, A. P. (2024). Dementia with Lewy Bodies: Genomics, Transcriptomics, and Its Future with Data Science. Cells, 13(3), Article 223. https://doi.org/10.3390/cells13030223

Dementia with Lewy bodies (DLB) is a significant public health issue. It is the second most common neurodegenerative dementia and presents with severe neuropsychiatric symptoms. Genomic and transcriptomic analyses have provided some insight into dise... Read More about Dementia with Lewy Bodies: Genomics, Transcriptomics, and Its Future with Data Science.

Critical responsible innovation – the role(s) of the researcher (2024)
Journal Article
Stahl, B. C. (2024). Critical responsible innovation – the role(s) of the researcher. Journal of Responsible Innovation, 11(1), Article 2300162. https://doi.org/10.1080/23299460.2023.2300162

Critical theory (CT) is a widely used theoretical approach that can be used to describe, understand and justify interventions into scientific and technical research and innovation. It can thus be considered a potential theoretical underpinning of res... Read More about Critical responsible innovation – the role(s) of the researcher.

An Automated Performance Evaluation of the Newborn Life Support Procedure (2024)
Presentation / Conference Contribution
Tan, A., Egede, J., Remenyte-Prescott, R., Valstar, M., & Sharkey, D. (2024, January). An Automated Performance Evaluation of the Newborn Life Support Procedure. Presented at 2024 Annual Reliability and Maintainability Symposium (RAMS), Albuquerque, NM, USA

This research is conducted to develop an automated action recognition method to evaluate the performance of the Newborn Life Support (NLS) procedure. It will be useful to find deviations in the procedure, such as missing steps and incorrect actions,... Read More about An Automated Performance Evaluation of the Newborn Life Support Procedure.

Adaptative computerized cognitive training decreases mental workload during working memory precision task - A preliminary fNIRS study (2024)
Journal Article
Landowska, A., Wilson, M. L., Craven, M. P., & Harrington, K. (2024). Adaptative computerized cognitive training decreases mental workload during working memory precision task - A preliminary fNIRS study. International Journal of Human-Computer Studies, 184, Article 103206. https://doi.org/10.1016/j.ijhcs.2023.103206

With the growing concern for the health of ageing populations, much research continues to look at the impact of cognitive training, particularly in relation to cognitive decline. We sought to use novel techniques, including augmented reality and port... Read More about Adaptative computerized cognitive training decreases mental workload during working memory precision task - A preliminary fNIRS study.

Provably Secure Decisions based on Potentially Malicious Information (2024)
Journal Article
Wang, D., Muller, T., & Sun, J. (2024). Provably Secure Decisions based on Potentially Malicious Information. IEEE Transactions on Dependable and Secure Computing, 21(5), 4388-4403. https://doi.org/10.1109/TDSC.2024.3353295

There are various security-critical decisions routinely made, based on information provided by peers: routing messages, user reports, sensor data, navigational information, blockchain updates, etc. Jury theorems were proposed in sociology to make dec... Read More about Provably Secure Decisions based on Potentially Malicious Information.

Cat Royale (2024)
Other
Schneiders, E., Benford, S., Tandavanitj, N., Adams, M., & Farr, J. R. (2024). Cat Royale

Would you let a robot care for your pet? Blast Theory’s Cat Royale explores the impact of AI on humans and animals. For 12 days, Ghostbuster, Pumpkin, and Clover played with a robot arm that offered them games, toys, and treats every few minutes. The... Read More about Cat Royale.

Densely Knowledge-Aware Network for Multivariate Time Series Classification (2024)
Journal Article
Xiao, Z., Xing, H., Qu, R., Feng, L., Luo, S., Dai, P., Zhao, B., & Dai, Y. (2024). Densely Knowledge-Aware Network for Multivariate Time Series Classification. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(4), 2192-2204. https://doi.org/10.1109/tsmc.2023.3342640

Multivariate time series classification (MTSC) based on deep learning (DL) has attracted increasingly more research attention. The performance of a DL-based MTSC algorithm is heavily dependent on the quality of the learned representations providing s... Read More about Densely Knowledge-Aware Network for Multivariate Time Series Classification.

Internal Parametricity, without an Interval (2024)
Journal Article
Altenkirch, T., Chamoun, Y., Kaposi, A., & Shulman, M. (2024). Internal Parametricity, without an Interval. Proceedings of the ACM on Programming Languages, 8(POPL), 2340-2369. https://doi.org/10.1145/3632920

Parametricity is a property of the syntax of type theory implying, e.g., that there is only one function having the type of the polymorphic identity function. Parametricity is usually proven externally, and does not hold internally. Internalising it... Read More about Internal Parametricity, without an Interval.

Quotient Haskell: Lightweight Quotient Types for All (2024)
Journal Article
Hewer, B., & Hutton, G. (2024). Quotient Haskell: Lightweight Quotient Types for All. Proceedings of the ACM on Programming Languages, 8(POPL), 785-815. https://doi.org/10.1145/3632869

Subtypes and quotient types are dual type abstractions. However, while subtypes are widely used both explicitly and implicitly, quotient types have not seen much practical use outside of proof assistants. A key difficulty to wider adoption of quotie... Read More about Quotient Haskell: Lightweight Quotient Types for All.

Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges (2023)
Book
Stahl, B. C., Schroeder, D., & Rodrigues, R. (2023). Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges. Springer. https://doi.org/10.1007/978-3-031-17040-9

This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemm... Read More about Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges.

Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings (2023)
Journal Article
Mashuk, M. S., Pinchin, J., Siebers, P.-O., & Moore, T. (2024). Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings. Journal of Building Engineering, 84, Article 108420. https://doi.org/10.1016/j.jobe.2023.108420

Having a good grasp on modelling the dynamics of occupants for estimating electricity consumption in office buildings is a vital asset for realistic predictions. Nowadays, agent-based models are widely used for this purpose. Previous approaches to mo... Read More about Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings.

Responsible AI in Africa: Challenges and Opportunities (2023)
Book
Akintoye, S., Eke, D. O., & Wakunuma, K. (Eds.). (2023). Responsible AI in Africa: Challenges and Opportunities. Palgrave Macmillan. https://doi.org/10.1007/978-3-031-08215-3

This open access book contributes to the discourse of Responsible Artificial Intelligence (AI) from an African perspective. It is a unique collection that brings together prominent AI scholars to discuss AI ethics from theoretical and practical Afric... Read More about Responsible AI in Africa: Challenges and Opportunities.