All Outputs (55)

Female entrepreneurs’ motivations, intentions and barriers in Higher Education: A case study from Team Academy Bristol (2023)
Book Chapter

The objective of this study is to examine factors contributing to entrepreneurial intention, motivation and barriers among female university students. For this, we take a case study approach and focus on a Team Academy undergraduate degree programme... Read More about Female entrepreneurs’ motivations, intentions and barriers in Higher Education: A case study from Team Academy Bristol.

Lost in the fog: The bewildering language of assessment (2023)
Digital Artefact

A SEDA blog written jointly by the contributors to a QAA Project on the Language of Assessment which resulted in the creation of a toolkit to support both creators of assessments and students in the common points of the assessment journey. The toolk... Read More about Lost in the fog: The bewildering language of assessment.

Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction (2022)
Journal Article

The emergence of cryptocurrencies has drawn significant investment capital in recent years with an exponential increase in market capitalization and trade volume. However, the cryptocurrency market is highly volatile and burdened with substantial het... Read More about Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction.

Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms (2022)
Journal Article

The reinforcement and imitation learning paradigms have the potential to revolutionise robotics. Many successful developments have been reported in literature; however, these approaches have not been explored widely in robotics for construction. The... Read More about Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms.

Climate action hub: Empowering youth engagement project report (2022)
Report

This report summarises the knowledge exchange activities of the CAH-OOT project: Climate Action Hub - empOwering yOuth engagemenT. This project, funded by a joint faculty award from the Higher Education Innovation Fund (HEIF), enabled representatives... Read More about Climate action hub: Empowering youth engagement project report.

CO7 Patient reported outcome measure for giant cell arteritis: cross-sectional validation study (2022)
Presentation / Conference Contribution

POS0003 Development and validation of a disease specific patient reported outcome for giant cell arteritis (2022)
Presentation / Conference Contribution

Background
Giant cell arteritis (GCA) is caused by inflammation of the blood vessels of the head and neck; patients can present with cranial, ocular or large vessel vasculitis involvement. Treatment is with glucocorticoids, steroid sparing agents a... Read More about POS0003 Development and validation of a disease specific patient reported outcome for giant cell arteritis.

OA23 Patient-reported outcome measure for giant cell arteritis: Cross-sectional validation study (2022)
Presentation / Conference Contribution

P301 Patient reported outcome measure for giant cell arteritis: Clinical testing (2022)
Presentation / Conference Contribution

Background/Aims
Giant cell arteritis (GCA) presents in people over 50, with headaches, visual involvement and large vessel vasculitis. A 30-item GCA-specific patient reported outcome measure (GCA PRO) was developed and tested in a clinical setting t... Read More about P301 Patient reported outcome measure for giant cell arteritis: Clinical testing.

Life cycle optimisation of building retrofitting considering climate change effects (2022)
Journal Article

Novelty: Climate change has significant impacts on building energy performance. A novel life cycle optimisation strategy is developed for determining optimal retrofitting solutions for office buildings with climate change effects taken into considera... Read More about Life cycle optimisation of building retrofitting considering climate change effects.

Rainfall Prediction: A Comparative Analysis of Modern Machine Learning Algorithms for Time-Series Forecasting (2021)
Journal Article

Rainfall forecasting has gained utmost research relevance in recent times due to its complexities and persistent applications such as flood forecasting and monitoring of pollutant concentration levels, among others. Existing models use complex statis... Read More about Rainfall Prediction: A Comparative Analysis of Modern Machine Learning Algorithms for Time-Series Forecasting.

Development and validation of a patient reported outcome measure for giant cell arteritis (2021)
Presentation / Conference Contribution

Patient perceptions of physical activity after a diagnosis of giant cell arteritis: Analysis of multinational qualitative data (2021)
Journal Article

Objective: To explore patient perceptions of physical activity in giant cell arteritis (GCA). Methods: This was a multinational qualitative study, analyzing interview data collected from participants from the UK (n=25) and Australia (n=11) with a def... Read More about Patient perceptions of physical activity after a diagnosis of giant cell arteritis: Analysis of multinational qualitative data.

Patient perceptions of health-related quality of life in giant cell arteritis: International development of a disease-specific patient-reported outcome measure (2021)
Journal Article

Objectives: GCA is a large vessel vasculitis (LVV) presenting with headache, jaw claudication, musculoskeletal and visual involvement. Current treatment is glucocorticoids and anti-IL-6 tocilizumab in refractory disease. The objective of this study w... Read More about Patient perceptions of health-related quality of life in giant cell arteritis: International development of a disease-specific patient-reported outcome measure.

Socially-Driven Enterprise Education: Exploring the effectiveness of socially-driven projects in developing students’ enterprise skills (2020)
Report

The growing interest in social enterprise has arguably changed the enterprise education landscape with HEIs increasingly embedding social enterprise into accredited programmes and developing extracurricular activities aimed at engendering social entr... Read More about Socially-Driven Enterprise Education: Exploring the effectiveness of socially-driven projects in developing students’ enterprise skills.

A holistic sustainability framework for oil terminals: The case of China (2020)
Journal Article

This research provides a sustainability framework for the Chinese oil terminal sustainability performance evaluation. Due to the lack of existing holistic oil terminal sustainability research and the increasing demand for sustainability pursuits, the... Read More about A holistic sustainability framework for oil terminals: The case of China.

Deep learning model for demolition waste prediction in a circular economy (2020)
Journal Article

An essential requirement for a successful circular economy is the continuous use of materials. Planning for building materials reuse at the end-of-life of buildings is usually a difficult task because limited time are usually made available for build... Read More about Deep learning model for demolition waste prediction in a circular economy.

Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings (2020)
Journal Article

A genetic algorithm-determined deep feedforward neural network architecture (GA-DFNN) is proposed for both day-ahead hourly and week-ahead daily electricity consumption of a real-world campus building in the United Kingdom. Due to the comprehensive r... Read More about Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings.

Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings (2020)
Journal Article

Accurate forecast of energy consumption is essential in building energy management. Owing to the variation of outdoor weather condition among different seasons, year-round historical weather profile is needed to investigate its feature thoroughly. Da... Read More about Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings.

Project reputation in construction: A process-based perspective of construction practitioners in the UK (2020)
Journal Article

The overall aim of this study is to elicit the perspective of practitioners (e.g., architects, civil engineers, building engineers, structural engineers and quantity surveyors) on the process-related factors influencing the project reputation of cons... Read More about Project reputation in construction: A process-based perspective of construction practitioners in the UK.