All Outputs (7)

Towards a more reliable interpretation of machine learning outputs for safety-critical systems using feature importance fusion (2021)
Journal Article
Rengasamy, D., Rothwell, B. C., & Figueredo, G. P. (2021). Towards a more reliable interpretation of machine learning outputs for safety-critical systems using feature importance fusion. Applied Sciences, 11(24), Article 11854. https://doi.org/10.3390/app112411854

When machine learning supports decision-making in safety-critical systems, it is important to verify and understand the reasons why a particular output is produced. Although feature importance calculation approaches assist in interpretation, there is... Read More about Towards a more reliable interpretation of machine learning outputs for safety-critical systems using feature importance fusion.

The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review (2021)
Journal Article
Majid, S., Reeves, S., Figueredo, G., Brown, S., Lang, A., Moore, M., & Morriss, R. (2021). The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review. JMIR Mental Health, 8(12), Article e27991. https://doi.org/10.2196/27991

Background: The number of self-monitoring apps for bipolar disorder (BD) is increasing. The involvement of users in human-computer interaction (HCI) research has a long history and is becoming a core concern for designers working in this space. The a... Read More about The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review.

The Extent of User Involvement in the Design of Self-Tracking Technology for Bipolar Disorder: Literature Review (2021)
Working Paper
Majid, S., Reeves, S., Figueredo, G., Brown, S., Lang, A., Moore, M., & Morriss, R. The Extent of User Involvement in the Design of Self-Tracking Technology for Bipolar Disorder: Literature Review

Background: Self-monitoring applications for bipolar disorder are increasing in numbers. The application of user-centred design (UCD) is becoming standardised to optimise the reach, adoption and sustained use of this type of technology. Objectiv... Read More about The Extent of User Involvement in the Design of Self-Tracking Technology for Bipolar Disorder: Literature Review.

Machine learning to determine the main factors affecting creep rates in laser powder bed fusion (2021)
Journal Article
Sanchez, S., Rengasamy, D., Hyde, C. J., Figueredo, G. P., & Rothwell, B. (2021). Machine learning to determine the main factors affecting creep rates in laser powder bed fusion. Journal of Intelligent Manufacturing, 32(8), 2353–2373. https://doi.org/10.1007/s10845-021-01785-0

There is an increasing need for the use of additive manufacturing (AM) to produce improved critical application engineering components. However, the materials manufactured using AM perform well below their traditionally manufactured counterparts, par... Read More about Machine learning to determine the main factors affecting creep rates in laser powder bed fusion.

Hypoalbuminemia in patients following their recovery from severe coronavirus disease 2019 (2021)
Journal Article
Ali, K. M., Ali, A. M., Tawfeeq, H. M., Figueredo, G. P., & Rostam, H. M. (2021). Hypoalbuminemia in patients following their recovery from severe coronavirus disease 2019. Journal of Medical Virology, 93(7), 4532-4536. https://doi.org/10.1002/jmv.27002

Coronavirus disease 2019 (COVID-19) is caused by a contagious virus that has spread to more than 200 countries, territories, and regions. Thousands of studies to date have examined all aspects of this disease, yet little is known about the postrecove... Read More about Hypoalbuminemia in patients following their recovery from severe coronavirus disease 2019.

Students’ views towards sars-cov-2 mass asymptomatic testing, social distancing and self-isolation in a university setting during the covid-19 pandemic: A qualitative study (2021)
Journal Article
Blake, H., Knight, H., Jia, R., Corner, J., Morling, J. R., Denning, C., …Vedhara, K. (2021). Students’ views towards sars-cov-2 mass asymptomatic testing, social distancing and self-isolation in a university setting during the covid-19 pandemic: A qualitative study. International Journal of Environmental Research and Public Health, 18(8), Article 4182. https://doi.org/10.3390/ijerph18084182

We aimed to explore university students’ perceptions and experiences of SARS-CoV-2 mass asymptomatic testing, social distancing and self-isolation, during the COVID-19 pandemic. This qualitative study comprised of four rapid online focus groups condu... Read More about Students’ views towards sars-cov-2 mass asymptomatic testing, social distancing and self-isolation in a university setting during the covid-19 pandemic: A qualitative study.

Discovery of synergistic material-topography combinations to achieve immunomodulatory osteoinductive biomaterials using a novel in vitro screening method: The ChemoTopoChip (2021)
Journal Article
Burroughs, L., Amer, M., Vassey, M., Koch, B., Figueredo, G., Mukonoweshuro, B., …Alexander, M. R. (2021). Discovery of synergistic material-topography combinations to achieve immunomodulatory osteoinductive biomaterials using a novel in vitro screening method: The ChemoTopoChip. Biomaterials, 271, Article 120740. https://doi.org/10.1016/j.biomaterials.2021.120740

© 2021 The Authors Human mesenchymal stem cells (hMSCs) are widely represented in regenerative medicine clinical strategies due to their compatibility with autologous implantation. Effective bone regeneration involves crosstalk between macrophages an... Read More about Discovery of synergistic material-topography combinations to achieve immunomodulatory osteoinductive biomaterials using a novel in vitro screening method: The ChemoTopoChip.