Outputs (134)

Testing lifecourse theories characterising associations between maternal depression and offspring depression in emerging adulthood: The Avon Longitudinal Study of Parents and Children (2022)
Journal Article

Background: Maternal depression is a major determinant of offspring mental health. Yet, little is understood about how the duration and timing of maternal depression shapes youth risk for depressive symptoms, which if understood could inform when bes... Read More about Testing lifecourse theories characterising associations between maternal depression and offspring depression in emerging adulthood: The Avon Longitudinal Study of Parents and Children.

Problem classification for tailored help desk auto replies (2022)
Presentation / Conference Contribution

IT helpdesks are charged with the task of responding quickly to user queries. To give the user confidence that their query matters, the helpdesk will auto-reply to the user with confirmation that their query has been received and logged. This auto-re... Read More about Problem classification for tailored help desk auto replies.

Analysing the predictivity of features to characterise the search space (2022)
Presentation / Conference Contribution

Exploring search spaces is one of the most unpredictable challenges that has attracted the interest of researchers for decades. One way to handle unpredictability is to characterise the search spaces and take actions accordingly. A well-characterised... Read More about Analysing the predictivity of features to characterise the search space.

Rank and wormhole attack detection model for RPL-based Internet of Things using machine learning (2022)
Journal Article

The proliferation of the internet of things (IoT) technology has led to numerous challenges in various life domains, such as healthcare, smart systems, and mission-critical applications. The most critical issue is the security of IoT nodes, networks,... Read More about Rank and wormhole attack detection model for RPL-based Internet of Things using machine learning.

Rethinking living matter: Animate behaviours of fungal composites (2022)
Presentation / Conference Contribution

Smart materials integrating conventional soft electronics e.g. sensors and actuators, are widely used in the building and wearable industries, contributing to the depletion of natural resources and having a vast environmental impact. In this paper, a... Read More about Rethinking living matter: Animate behaviours of fungal composites.

Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions (2022)
Presentation / Conference Contribution

Students may arrive at an incorrect answer when answering a mathematical question due to several reasons, such as random errors, calculation errors or misreading the question. Such errors are sometimes referred to as Common Student Errors (CSEs).
Se... Read More about Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions.

Integrating wind variability to modelling wind-ramp events using a non-binary ramp function and deep learning models (2022)
Presentation / Conference Contribution

The forecasting of large ramps in wind power output known as ramp events is crucial for the incorporation of large volumes of wind energy into national electricity grids. Large variations in wind power supply must be compensated by ancillary energy s... Read More about Integrating wind variability to modelling wind-ramp events using a non-binary ramp function and deep learning models.

Gathering and compiling mathematical common student errors in e-assessment questions with taxonomical classification (2022)
Journal Article

This article gives an overview of the interactive book called ‘Collection of Taxonomically Classified Mathematical Common Student Errors in e-Assessments (CSE Book)’ which has been produced as a result of the Common Student Errors Project (CSE Projec... Read More about Gathering and compiling mathematical common student errors in e-assessment questions with taxonomical classification.

Reflecting on the benefits and challenges of online learning during the COVID-19 Pandemic (2022)
Presentation / Conference Contribution

The COVID-19 pandemic resulted in profound disruption to geography higher education. A pivot to online teaching required staff to rapidly adapt their practices to novel learning environments and digital spaces. Whilst many studies have reported the d... Read More about Reflecting on the benefits and challenges of online learning during the COVID-19 Pandemic.

Molecular collective response and dynamical symmetry properties in biopotentials of superior plants: Experimental observations and quantum field theory modeling (2022)
Journal Article

Trees employ impulses of electrical activity to coordinate actions of their bodies and long-distance communication. There are indications that the vascular system might act as a network of pathways for traveling electrical impulses. A question arises... Read More about Molecular collective response and dynamical symmetry properties in biopotentials of superior plants: Experimental observations and quantum field theory modeling.