All Outputs (300)

Scotland's Surging Hip-Hop And Grime Scene (2020)
Presentation / Conference Contribution
Hook, D. (2020, October). Scotland's Surging Hip-Hop And Grime Scene. Presented at Dumfries Music Conference, Dumfries [Online]

An artist-led panel looking at current sounds, and trends emerging in Scotland and how the scene is attracting national recognition.

Attribute-Based Symmetric Searchable Encryption (2020)
Presentation / Conference Contribution
Dang, H., Ullah, A., Bakas, A., & Michalas, A. (2020). Attribute-Based Symmetric Searchable Encryption. In Applied Cryptography and Network Security Workshops (318-336). https://doi.org/10.1007/978-3-030-61638-0_18

Symmetric Searchable Encryption (SSE) is an encryption technique that allows users to search directly on their outsourced encrypted data while preserving the privacy of both the files and the queries. Unfortunately, majority of the SSE schemes allows... Read More about Attribute-Based Symmetric Searchable Encryption.

What are the components of an effective model of home-based end of life care for children and families? (2020)
Presentation / Conference Contribution
Malcolm, C., & Knighting, K. (2020, October). What are the components of an effective model of home-based end of life care for children and families?. Paper presented at 2020 International Congress on Palliative Care, Montreal, Canada

Objectives: To assess the effectiveness of a home-based end of life care service delivered via a partnership model by two organisations as perceived by families who have accessed the service and professionals delivering the service.

Methods: A rea... Read More about What are the components of an effective model of home-based end of life care for children and families?.

A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network (2020)
Presentation / Conference Contribution
Thomson, C., Wadhaj, I., Al-Dubai, A., & Tan, Z. (2020, April). A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network. Presented at IEEE 6th World Forum on Internet of Things, New Orleans, Louisiana, USA

The issue of energy holes, or hotspots, in wireless sensor networks is well referenced. As is the proposed mobilisa-tion of the sink node in order to combat this. However, as the sink node shall still pass some nodes more closely and frequently than... Read More about A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network.

Daydream Believers and a Qualification in Creative Thinking (2020)
Presentation / Conference Contribution
Cochrane, R. (2020, October). Daydream Believers and a Qualification in Creative Thinking. Presented at Fusion Cities 2 (Virtual) City of London Corporation, London [Online]

What if there was a Higher/A Level in Creative Thinking?

Do the clinical management guidelines for Covid-19 in African Countries reflect the African quality palliative care standards? A rapid review (2020)
Presentation / Conference Contribution
Afolabi, O. A., Abboah-Offei, M., Namisango, E., Chukwusa, E., Oluyase, A. O., Luyirika, E. B., Harding, R., & Nkhoma, K. (2020, October). Do the clinical management guidelines for Covid-19 in African Countries reflect the African quality palliative care standards? A rapid review. Poster presented at 11th EAPC World Research Congress Online, Online

Background: Palliative care should be a component of COVID-19 management to relieve suffering, improve patient outcomes and save costs.
Aims: We aimed to identify and appraise palliative care recommendations within COVID-19 management guidelines in... Read More about Do the clinical management guidelines for Covid-19 in African Countries reflect the African quality palliative care standards? A rapid review.

Do person-centred models of care delivered in the community improve outcomes for people living with HIV/AIDS? A systematic review of the evidence (2020)
Presentation / Conference Contribution
Abboah-Offei, M., Bristowe, K., Abas, M., Higginson, I., & Harding, R. (2020, October). Do person-centred models of care delivered in the community improve outcomes for people living with HIV/AIDS? A systematic review of the evidence. Poster presented at 11th EAPC World Research Congress Online, Online

Background/aims: In 2018, an estimated 37.9 million people globally were living with HIV. These people often experience physical, psychological, social and spiritual symptoms and concerns which impact on their quality of life (QoL) and retention in c... Read More about Do person-centred models of care delivered in the community improve outcomes for people living with HIV/AIDS? A systematic review of the evidence.

Developing a Data & Innovation Platform for Care Homes In Scotland (2020)
Presentation / Conference Contribution
Johnston, L., Hockley, J., & Henderson, D. (2020, October). Developing a Data & Innovation Platform for Care Homes In Scotland. Presented at EuGMS Congress 2020, Online

Introduction: The COVID-19 pandemic has increased the need for reliable, real time data on the care of older people. We aimed to identify current data availability, challenges, and priorities for future research and innovations in Car... Read More about Developing a Data & Innovation Platform for Care Homes In Scotland.

Trust, Norms and Networks of indigenous institutions: The Creation of Moral Economies in Nigeria (2020)
Presentation / Conference Contribution
Omeihe, K. O., Amoako, I. O., Gustafsson, V., Khan, M. S., & Omeihe, I. (2020, September). Trust, Norms and Networks of indigenous institutions: The Creation of Moral Economies in Nigeria. Presented at BAM2020 Conference in the Cloud, Online

Through an empirical study of traders in Bokkos and Ero markets of Nigeria, this study examines the means by which trust is developed in the absence of efficient formal institutional arrangements (such as law courts and legal structures) taken for gr... Read More about Trust, Norms and Networks of indigenous institutions: The Creation of Moral Economies in Nigeria.

Visual Encodings for Networks with Multiple Edge Types (2020)
Presentation / Conference Contribution
Vogogias, T., Archambault, D. W., Bach, B., & Kennedy, J. (2020, October). Visual Encodings for Networks with Multiple Edge Types. Presented at International Conference on Advanced Visual Interfaces, Napkes, Italy

This paper reports on a formal user study on visual encodings of networks with multiple edge types in adjacency matrices. Our tasks and conditions were inspired by real problems in computational biology. We focus on encodings in adjacency matrices, s... Read More about Visual Encodings for Networks with Multiple Edge Types.

Federated learning with hierarchical clustering of local updates to improve training on non-IID data (2020)
Presentation / Conference Contribution
Briggs, C., Fan, Z., & Andras, P. (2020, July). Federated learning with hierarchical clustering of local updates to improve training on non-IID data. Presented at 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow

Federated learning (FL) is a well established method for performing machine learning tasks over massively distributed data. However in settings where data is distributed in a non-iid (not independent and identically distributed) fashion - as is typic... Read More about Federated learning with hierarchical clustering of local updates to improve training on non-IID data.

Deep Neural Network Driven Binaural Audio Visual Speech Separation (2020)
Presentation / Conference Contribution
Gogate, M., Dashtipour, K., Bell, P., & Hussain, A. (2020, July). Deep Neural Network Driven Binaural Audio Visual Speech Separation. Presented at 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow

The central auditory pathway exploits the auditory signals and visual information sent by both ears and eyes to segregate speech from multiple competing noise sources and help disambiguate phonological ambiguity. In this study, inspired from this uni... Read More about Deep Neural Network Driven Binaural Audio Visual Speech Separation.

Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features (2020)
Presentation / Conference Contribution
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2020, July). Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features. Presented at International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, UK

Industrial Control Systems have become a priority domain for cybersecurity practitioners due to the number of cyber-attacks against those systems has increased over the past few years. This paper proposes a real-time anomaly intrusion detector for a... Read More about Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features.

ATP and prevention pacing to reduce AF burden in pacemaker patients (2020)
Presentation / Conference Contribution
McMahon, L., & Breen, C. (2020, September). ATP and prevention pacing to reduce AF burden in pacemaker patients. Poster presented at Heart Rhythm Congress, Manchester, UK [online]

Background/Objectives: Pacemakers detect subclinical atrial fibrillation that may be a predictor of risk of stroke. Evidence for the efficacy of algorithms for prevention and treatment of atrial fibrillation is controversial. The aim is to systematic... Read More about ATP and prevention pacing to reduce AF burden in pacemaker patients.

Barriers to Ethnic Minority Entrepreneurs-investigating the Evidence and Examining the Turfs (2020)
Presentation / Conference Contribution
Bariture, B., & Omeihe, K. (2020, September). Barriers to Ethnic Minority Entrepreneurs-investigating the Evidence and Examining the Turfs. Paper presented at Advancements in Migrant and Refugee Entrepreneurship Research, Birmingham, UK

A report commissioned by the Federation of Small Businesses in Scotland, articulated that ethnic minority-led SMEs generated £13 billion in revenue and 107,000 jobs for the Scottish economy (FSB, 2020). Despite this feat, there is clear evidence tha... Read More about Barriers to Ethnic Minority Entrepreneurs-investigating the Evidence and Examining the Turfs.

Impact of Content Popularity on Content Finding in NDN: Default NDN vs. Vicinity-based Enhanced NDN (2020)
Presentation / Conference Contribution
Suwannasa, A., Broadbent, M., & Mauthe, A. (2020, September). Impact of Content Popularity on Content Finding in NDN: Default NDN vs. Vicinity-based Enhanced NDN. Presented at 2020 10th International Conference on Information Science and Technology (ICIST), Bath, London, and Plymouth, UK

Named Data Networking allows a consumer to locate a desired content object by its name prefix. By using the best route strategy of the default NDN architecture, an Interest packet is forwarded along a default path indicated by the packet's name to fi... Read More about Impact of Content Popularity on Content Finding in NDN: Default NDN vs. Vicinity-based Enhanced NDN.

Design of direct-drive wind turbine electrical generator structures using topology optimization techniques (2020)
Presentation / Conference Contribution
Jaen-Sola, P., McDonald, A. S., & Oterkus, E. (2020, September). Design of direct-drive wind turbine electrical generator structures using topology optimization techniques. Presented at The Science of Making Torque from Wind (TORQUE 2020), Online

Reducing the structural mass of low speed multi-MW electrical machines for renewable energy purposes have become an important object of study as with the drop in mass a substantial decrease in the machine capital cost can be achieved. Direct-drive wi... Read More about Design of direct-drive wind turbine electrical generator structures using topology optimization techniques.

Supporting Opioid Prescribing in NHS Borders (2020)
Presentation / Conference Contribution
Finnan, G., Howell, A., MacDougal, L., Flint, R., & Ditzel, M. (2020, September). Supporting Opioid Prescribing in NHS Borders. Poster presented at SPPC Annual Conference 2020, Edinburgh, United Kingdom

Mixed methods feasibility cluster randomised controlled trials of a community-based enhanced care intervention (CECI) to improve person-centred outcomes for people living with HIV in Ghana (2020)
Presentation / Conference Contribution
Abboah-Offei, M., Bristowe, K., Vanderpuye-Donton, N. A., Ansa, G., Abas, M., Higginson, I., & Harding, R. Mixed methods feasibility cluster randomised controlled trials of a community-based enhanced care intervention (CECI) to improve person-centred outcomes for people living with HIV in Ghana. Presented at 11th EAPC World Research Congress, Online

Background/aims: Despite treatment advances, people living with HIV (PLWH) continue to experience distressing physical, psychological, social and spiritual symptoms and concerns, which impact on their quality of life. Limited research has considered... Read More about Mixed methods feasibility cluster randomised controlled trials of a community-based enhanced care intervention (CECI) to improve person-centred outcomes for people living with HIV in Ghana.

Effect of various spatial auditory cues on the perception of threat in a first-person shooter video game (2020)
Presentation / Conference Contribution
Semionov, K., & McGregor, I. (2020, September). Effect of various spatial auditory cues on the perception of threat in a first-person shooter video game. Presented at AM'20: Audio Mostly 2020, Graz, Austria

This study interviewed game audio professionals to establish the implementation requirements for an experiment to ascertain the effect of different spatial audio localisation systems on the perception of threat in a first-person shooter. In addition,... Read More about Effect of various spatial auditory cues on the perception of threat in a first-person shooter video game.