Skip to main content

Research Repository

Advanced Search

All Outputs (963)

Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods (2020)
Journal Article

© 2020, The Author(s). This paper investigates the utility of unsupervised machine learning and data visualisation for tracking changes in user activity over time. This is done through analysing unlabelled data generated from passive and ambient smar... Read More about Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods.

Learning through successful feedback: Digital opportunities for effective feedback in project-based architectural education (2020)
Journal Article

The study focuses on improving student feedback and assessment in Architectural Education, a subject area where constructive criticism is crucial and forms a part of the methodology of both teaching and practice. The UK National Student Survey consis... Read More about Learning through successful feedback: Digital opportunities for effective feedback in project-based architectural education.

The patientsʼ perspective of important glucocorticoid effects: A nominal group study among patients with Systemic Lupus Erythematosus and Myositis (2020)
Journal Article

Background/Objective The objective of this cohort study was to understand the positive and negative effects of glucocorticoids (GCs) in patients with systemic lupus erythematosus and myositis from the patients' perspective with the aim of developing... Read More about The patientsʼ perspective of important glucocorticoid effects: A nominal group study among patients with Systemic Lupus Erythematosus and Myositis.

‘The object is to change the heart and soul’: Financial incentives, planning and opposition to new housebuilding in England (2020)
Journal Article

© The Author(s) 2020. In 2014 the UK government announced plans to reduce opposition to housing development by making a direct payment to households in England. 1 This was part of a wider experiment with behavioural economics and financial inducement... Read More about ‘The object is to change the heart and soul’: Financial incentives, planning and opposition to new housebuilding in England.

Achieving consensus in the measurement of psychological adjustment to cleft lip and/or palate at age 8 years+ (2020)
Journal Article

Background: Consensus regarding optimal outcome measurement has been identified as one of the most important, yet most challenging developments for the future of cleft lip and/or palate (CL/P) services. In 2011, a process began to adopt a shared conc... Read More about Achieving consensus in the measurement of psychological adjustment to cleft lip and/or palate at age 8 years+.

BCAT-induced autophagy regulates Aβ load through an interdependence of redox state and PKC phosphorylation-implications in Alzheimer's disease (2020)
Journal Article

Leucine, nutrient signal and substrate for the branched chain aminotransferase (BCAT) activates the mechanistic target of rapamycin (mTORC1) and regulates autophagic flux, mechanisms implicated in the pathogenesis of neurodegenerative conditions such... Read More about BCAT-induced autophagy regulates Aβ load through an interdependence of redox state and PKC phosphorylation-implications in Alzheimer's disease.

Potential impacts of non-native fish on the threatened mahseer (Tor) species of the Indian Himalayan biodiversity hot spot (2020)
Journal Article

1. Mahseer (Tor) fish species are critical components of locally adapted freshwater food webs across the Indian Himalayan biodiversity hotspot; however, multiple human stressors compounded by climate change have significantly depleted their populatio... Read More about Potential impacts of non-native fish on the threatened mahseer (Tor) species of the Indian Himalayan biodiversity hot spot.

Formal verification of a hybrid machine learning-based fault prediction model in Internet of Things applications (2020)
Journal Article

By increasing the complexity of the Internet of Things (IoT) applications, fault prediction become an important challenge in interactions between human, and smart devices. Fault prediction is one of the key factors to achieve better arranging the IoT... Read More about Formal verification of a hybrid machine learning-based fault prediction model in Internet of Things applications.

Drivers and challenges associated with the implementation of big data within UK facilities management sector: An exploratory factor analysis approach (2020)
Journal Article

The recent advances in Internet of Things (IoT), computational analytics, processing power, and assimilation of Big Data (BD) are playing an important role in revolutionizing maintenance and operations regimes within the wider facilities management (... Read More about Drivers and challenges associated with the implementation of big data within UK facilities management sector: An exploratory factor analysis approach.