Controlling human platelet activation with calcium-binding nanoparticles

Cabrera, David; Walker, Karen; Moise, Sandhya; Telling, Neil D.; Harper, Alan G.S.

Abstract

We introduce a neural method that is able to fuse concepts from a knowledge base with the context information for the task of grouping of aspect terms. Rather than only using context information, we use the corresponding concepts of aspect terms as additional information for aspect terms representation. We also introduce a location-based attention mechanism for accurately representing context features. As both the concept and the aspect term are same level features, i.e. aspect level features, we develop a model with gating mechanism to fuse them together. All of the above features are fed into a parallel metric learning network which has the ability to learn an easier grouping representation of samples. Experimental results demonstrate that our approach outperforms different baselines and model variants on five datasets.

Citation

Cabrera, D., Walker, K., Moise, S., Telling, N. D., & Harper, A. G. (2020). Controlling human platelet activation with calcium-binding nanoparticles. Nano Research, 13, Article 2697–2705. https://doi.org/10.1007/s12274-020-2912-8

• Journal Article Type: Article
• Acceptance Date: Jun 3, 2020
• Online Publication Date: Jul 11, 2020
• Publication Date: 2020-10
• Journal: Nano Research
• Print ISSN: 1998-0124
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 13
• Article Number: 2697–2705
• DOI: https://doi.org/10.1007/s12274-020-2912-8
• Keywords: nanochelators, human platelets, open canalicular system, calcium signaling, nanoparticles
• Public URL: https://keele-repository.worktribe.com/output/417091
• Publisher URL: https://link.springer.com/article/10.1007/s12274-020-2912-8
• PMID: 33473261