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All Outputs (894)

brainlife.io: a decentralized and open-source cloud platform to support neuroscience research (2024)
Journal Article
Hayashi, S., Caron, B. A., Heinsfeld, A. S., Vinci-Booher, S., McPherson, B., Bullock, D. N., …Pestilli, F. (2024). brainlife.io: a decentralized and open-source cloud platform to support neuroscience research. Nature Methods, https://doi.org/10.1038/s41592-024-02237-2

Neuroscience is advancing standardization and tool development to support rigor and transparency. Consequently, data pipeline complexity has increased, hindering FAIR (findable, accessible, interoperable and reusable) access. brainlife.io was develop... Read More about brainlife.io: a decentralized and open-source cloud platform to support neuroscience research.

Improving immersive consumption contexts using virtual & mixed reality (2024)
Journal Article
Barker, I., Yang, Q., Flintham, M., Ankeny, R., & Ford, R. (in press). Improving immersive consumption contexts using virtual & mixed reality. Science Talks, Article 100346. https://doi.org/10.1016/j.sctalk.2024.100346

Immersive technologies, such as Virtual Reality (VR), provide a great opportunity to create relevant contexts in consumer studies. However, challenges persist in consuming food and drink during immersion and ensuring effective data collection. This s... Read More about Improving immersive consumption contexts using virtual & mixed reality.

Precision computerised cognitive behavioural therapy (cCBT) for adolescents with depression: a pilot and feasibility randomised controlled trial protocol for SPARX-UK (2024)
Journal Article
Khan, K., Hall, C. L., Babbage, C., Dodzo, S., Greenhalgh, C., Lucassen, M., …Hollis, C. (2024). Precision computerised cognitive behavioural therapy (cCBT) for adolescents with depression: a pilot and feasibility randomised controlled trial protocol for SPARX-UK. Pilot and Feasibility Studies, 10(1), Article 53. https://doi.org/10.1186/s40814-024-01475-7

Background : A serious game called SPARX (Smart, Positive, Active, Realistic, X-factor thoughts), originally developed in New Zealand and incorporating cognitive behavioural therapy (CBT) principles, has been shown to help reduce symptoms of depressi... Read More about Precision computerised cognitive behavioural therapy (cCBT) for adolescents with depression: a pilot and feasibility randomised controlled trial protocol for SPARX-UK.

Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks (2024)
Journal Article
Chen, X., Bai, R., Qu, R., Dong, J., & Jin, Y. (2024). Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks. IEEE Transactions on Evolutionary Computation, https://doi.org/10.1109/tevc.2024.3381042

Efficient truck dispatching is crucial for optimizing container terminal operations within dynamic and complex scenarios. Despite good progress being made recently with more advanced uncertainty-handling techniques, existing approaches still have gen... Read More about Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks.

Ethics in the Governance of Data and Digital Technology: An Analysis of European Data Regulations and Policies (2024)
Journal Article
Eke, D., & Stahl, B. (2024). Ethics in the Governance of Data and Digital Technology: An Analysis of European Data Regulations and Policies. Digital Society, 3(1), Article 11. https://doi.org/10.1007/s44206-024-00101-6

Addressing ethical concerns is among the fundamental motivations for the development of policies and regulations for data and digital technologies. In the last few years, the European Commission has issued a number of policies, regulations and legisl... Read More about Ethics in the Governance of Data and Digital Technology: An Analysis of European Data Regulations and Policies.

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., …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.

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.

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.

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, 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.

Densely Knowledge-Aware Network for Multivariate Time Series Classification (2024)
Journal Article
Xiao, Z., Xing, H., Qu, R., Feng, L., Luo, S., Dai, P., …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.

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.

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., & 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.

Exploring Effects of a Nostalgic Storytelling Virtual Reality Experience Beyond Hedonism (2023)
Journal Article
Huang, Y., Benford, S., Spence, J., & Blake, H. (2024). Exploring Effects of a Nostalgic Storytelling Virtual Reality Experience Beyond Hedonism. Cyberpsychology, Behavior, and Social Networking, 27(3), 221-226. https://doi.org/10.1089/cyber.2023.0183

In this study, we tested the effect of a nostalgic storytelling virtual reality (VR) experience (vs. a text-reading neutral VR experience as the comparison condition) on state-level eudaimonic well-being and explored the underlying mediating mechanis... Read More about Exploring Effects of a Nostalgic Storytelling Virtual Reality Experience Beyond Hedonism.

CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition (2023)
Journal Article
Xiao, Z., Tong, H., Qu, R., Xing, H., Luo, S., Zhu, Z., …Feng, L. (2023). CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition. IEEE Transactions on Neural Networks and Learning Systems, 1-15. https://doi.org/10.1109/TNNLS.2023.3344294

This article proposes a semi-supervised contrastive capsule transformer method with feature-based knowledge distillation (KD) that simplifies the existing semisupervised learning (SSL) techniques for wearable human activity recognition (HAR), called... Read More about CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition.

Corrigendum: Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse (2023)
Journal Article
Ochang, P., Eke, D., & Stahl, B. C. (in press). Corrigendum: Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse. Frontiers in Big Data, 6, Article 1344345. https://doi.org/10.3389/fdata.2023.1344345

In the published article, there was an error in the author list arrangement, the corrected author list appears below. Paschal Ochang1*, Damian Eke1 and Bernd Carsten Stahl1,2 The authors apologize for this error and state that this does not change th... Read More about Corrigendum: Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse.