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Discussion about the effects of PPE and COVID-19 on menopausal women is long overdue. (2021)
Other
KYDD, A. 2021. Discussion about the effects of PPE and COVID-19 on menopausal women is long overdue. Press and journal [online], 18 October 2021. Available from: https://www.pressandjournal.co.uk/fp/lifestyle/health-and-wellbeing/3542157

The NHS employer's website has guidance for HR departments to produce policies on menopause in the workplace. However, despite the added pressure caused by the COVID-19 pandemic, little attention appears to have been paid to the impact of Personal Pr... Read More about Discussion about the effects of PPE and COVID-19 on menopausal women is long overdue..

Recurrent neural network and reinforcement learning model for COVID-19 prediction. (2021)
Journal Article
KUMAR, R.L., KHAN, F., DIN, S., BAND, S.S., MOSAVI, A. and IBEKE, E. 2021. Recurrent neural network and reinforcement learning model for COVID-19 prediction. Frontiers in public health [online], 9, article 744100. Available from: https://doi.org/10.3389/fpubh.2021.744100

Detection and prediction of the novel Coronavirus present new challenges for the medical research community due to its widespread across the globe. Methods driven by Artificial Intelligence can help predict specific parameters, hazards, and outcomes... Read More about Recurrent neural network and reinforcement learning model for COVID-19 prediction..

Tackling pandemics in smart cities using machine learning architecture. (2021)
Journal Article
NGABO, D., DONG, W., IBEKE, E., IWENDI, C. and MASABO, E. 2021. Tackling pandemics in smart cities using machine learning architecture. Mathematical biosciences and engineering [online], 18(6): the advances in cybersecurity theory and applications, pages 8444-8461. Available from: https://doi.org/10.3934/mbe.2021418

With the recent advancement in analytic techniques and the increasing generation of healthcare data, artificial intelligence (AI) is reinventing the healthcare system for tackling pandemics securely in smart cities. AI tools continue register numerou... Read More about Tackling pandemics in smart cities using machine learning architecture..

Supporting victims of domestic violence during COVID-19: the impact of the pandemic on service providers in North-East Scotland and Orkney. [Webinar] (2021)
Presentation / Conference
PEDERSEN, S., MUELLER-HIRTH, N. and MILLER, L. 2021. Supporting victims of domestic violence during COVID-19: the impact of the pandemic on service providers in North-East Scotland and Orkney. [Webinar]. Presented at the Supporting victims of domestic violence during COVID-19 webinar, 7 June 2021, [virtual event]. Hosted on OpenAIR [online]. Available from: https://rgu-repository.worktribe.com/output/1357852

The COVID-19 pandemic has seen a significant rise in gender-based violence and increased risks of harm for domestic-abuse survivors, due to restrictions on movement and an increase in social isolation. Gender-based violence is a major public health,... Read More about Supporting victims of domestic violence during COVID-19: the impact of the pandemic on service providers in North-East Scotland and Orkney. [Webinar].

Supporting victims of domestic violence during COVID-19: the impact of the pandemic on service providers in North-East Scotland and Orkney. (2021)
Report
PEDERSEN, S., MUELLER-HIRTH, N. and MILLER, L. 2021. Supporting victims of domestic violence during COVID-19: the impact of the pandemic on service providers in North-East Scotland and Orkney. Aberdeen: Robert Gordon University [online]. Available from: https://rgu-repository.worktribe.com/output/1346357

The COVID-19 pandemic has seen a significant rise in gender-based violence and increased risks of harm for domestic-abuse survivors, due to restrictions on movement and an increase in social isolation. Gender-based violence is a major public health,... Read More about Supporting victims of domestic violence during COVID-19: the impact of the pandemic on service providers in North-East Scotland and Orkney..

Modeling aerosol cloud aerodynamics during human coughing, talking, and breathing actions. (2021)
Journal Article
HOSSAIN, M. and FAISAL, N.H. 2021. Modeling aerosol cloud aerodynamics during human coughing, talking, and breathing actions. AIP advances [online], 11(4), article 045111. Available from: https://doi.org/10.1063/5.0042952

In this paper, we investigate the aerosol cloud flow physics during three respiratory actions by humans (such as coughing, talking, and breathing). With given variables (i.e., velocity, duration, particle size and number of particles, and ambient con... Read More about Modeling aerosol cloud aerodynamics during human coughing, talking, and breathing actions..