Outputs (104)

Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheat (2022)
Journal Article
GRIFFITHS, M., ATKINSON, J. A., Gardiner, L. J., SWARUP, R., POUND, M. P., WILSON, M. H., BENNETT, M. J., & WELLS, D. M. (2022). Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheat. Journal of Integrative Agriculture, 21(4), 917-932. https://doi.org/10.1016/s2095-3119%2821%2963700-0

The root system architecture (RSA) of a crop has a profound effect on the uptake of nutrients and consequently the potential yield. However, little is known about the genetic basis of RSA and resource adaptive responses in wheat (Triticum aestivum L.... Read More about Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheat.

Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft (2022)
Journal Article
Mohamed, M. A., Yeoh, S. S., Atkin, J., Hussaini, H., & Bozhko, S. (2022). Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft. IEEE Transactions on Transportation Electrification, 8, 4205-4218. https://doi.org/10.1109/tte.2022.3159731

Due to the substantial increase of the number of electrically-driven systems on-board More Electric Aircraft (MEA), the on-board Electric Power Systems (EPS) are becoming more and more complex. Therefore, there is a need to develop a control strategy... Read More about Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft.

A European Agency for Artificial Intelligence: Protecting fundamental rights and ethical values (2022)
Journal Article
Stahl, B. C., Rodrigues, R., Santiago, N., & Macnish, K. (2022). A European Agency for Artificial Intelligence: Protecting fundamental rights and ethical values. Computer Law and Security Review, 45, Article 105661. https://doi.org/10.1016/j.clsr.2022.105661

Following years of intensive international debate of the ethical and human rights implications of artificial intelligence (AI)-related technologies, there are numerous proposals to legislate and regulate these technologies. One aspect of possible leg... Read More about A European Agency for Artificial Intelligence: Protecting fundamental rights and ethical values.

Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study (2022)
Presentation / Conference Contribution
Camilleri, A., Dogramadzi, S., & Caleb-Solly, P. (2022, March). Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study. Presented at 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Sapporo, Japan

This research investigates how professional carers physically assist frail older adults. Carers were asked to discuss their approach and steps for providing safe physical assistance and highlight hazards that assistive robots would have to deal with... Read More about Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study.

A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica (2022)
Journal Article
Calderon-Ramirez, S., Murillo-Hernandez, D., Rojas-Salazar, K., Elizondo, D., Yang, S., Moemeni, A., & Molina-Cabello, M. (2022). A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. Medical and Biological Engineering and Computing, 60(4), 1159-1175. https://doi.org/10.1007/s11517-021-02497-6

The implementation of deep learning-based computer-aided diagnosis systems for the classification of mammogram images can help in improving the accuracy, reliability, and cost of diagnosing patients. However, training a deep learning model requires a... Read More about A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica.

Using Patient and Public Involvement to Elicit Opinion on Cognitive Training Games and Assessment Technologies for Dementia (2022)
Preprint / Working Paper
Harrington, K., Craven, M. P., Wilson, M. L., & Landowska, A. Using Patient and Public Involvement to Elicit Opinion on Cognitive Training Games and Assessment Technologies for Dementia

Background:

Cognitive training and assessment technologies offer the promise of dementia risk reduction and more timely diagnosis of dementia respectively. Cognitive training technologies may help to reduce the lifetime risk of dementia by helping... Read More about Using Patient and Public Involvement to Elicit Opinion on Cognitive Training Games and Assessment Technologies for Dementia.

Data-inspired co-design for museum and gallery visitor experiences (2022)
Journal Article
Darzentas, D., Cameron, H., Wagner, H., Craigon, P., Bodiaj, E., Spence, J., Tennent, P., & Benford, S. (2022). Data-inspired co-design for museum and gallery visitor experiences. AI EDAM, 36, Article e3. https://doi.org/10.1017/S0890060421000317

The capture and analysis of diverse data is widely recognized as being vital to the design of new products and services across the digital economy. We focus on its use to inspire the co-design of visitor experiences in museums as a distinctive case t... Read More about Data-inspired co-design for museum and gallery visitor experiences.

Brain simulation as a cloud service: The Virtual Brain on EBRAINS (2022)
Journal Article
Schirner, M., Domide, L., Perdikis, D., Triebkorn, P., Stefanovski, L., Pai, R., Prodan, P., Valean, B., Palmer, J., Langford, C., Blickensdörfer, A., van der Vlag, M., Diaz-Pier, S., Peyser, A., Klijn, W., Pleiter, D., Nahm, A., Schmid, O., Woodman, M., Zehl, L., …Ritter, P. (2022). Brain simulation as a cloud service: The Virtual Brain on EBRAINS. NeuroImage, 251, Article 118973. https://doi.org/10.1016/j.neuroimage.2022.118973

The Virtual Brain (TVB) is now available as open-source services on the cloud research platform EBRAINS (ebrains.eu). It offers software for constructing, simulating and analysing brain network models including the TVB simulator; magnetic resonance i... Read More about Brain simulation as a cloud service: The Virtual Brain on EBRAINS.

Complying with the GDPR when vulnerable people use smart devices (2022)
Journal Article
Piasecki, S., & Chen, J. (2022). Complying with the GDPR when vulnerable people use smart devices. International Data Privacy Law, 12(2), 113-131. https://doi.org/10.1093/idpl/ipac001

The number of smart home devices is increasing. They are used by vulnerable people regardless of whether they are designed specifically for them or for the general population (eg, smart door locks, smart alarms, or voice assistants). This article foc... Read More about Complying with the GDPR when vulnerable people use smart devices.

Data and statistical analysis scripts for manuscript on wheat root response to nitrate using X-ray CT and OpenSimRoot (2022)
Data
(2022). Data and statistical analysis scripts for manuscript on wheat root response to nitrate using X-ray CT and OpenSimRoot. [Data]. https://doi.org/10.5281/zenodo.5504299

Data and statistical analysis scripts for manuscript on wheat root response to nitrate using X-ray CT and OpenSimRoot

X-ray CT reveals 4D root system development and lateral root responses to nitrate in soil - [https://doi.org/10.1002/ppj2.20036]... Read More about Data and statistical analysis scripts for manuscript on wheat root response to nitrate using X-ray CT and OpenSimRoot.