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Parenting in a changing climate: the relationship between talking to children aged 5-11 about climate change, family eco-behaviours and climate change anxiety (2024)
Journal Article

Climate change has a substantial impact on human health and the increased symptoms of climate change anxiety have led to a global call for action. However, data exploring the relationship between climate change, mental health, and individuals with pa... Read More about Parenting in a changing climate: the relationship between talking to children aged 5-11 about climate change, family eco-behaviours and climate change anxiety.

Evaluation of factors predicting tinnitus outcomes following cochlear implantation: Protocol for a prospective quasi-experimental study (2024)
Journal Article

Cochlear implantation is an effective intervention to restore useful aspects of hearing function in adults with severe-to-profound hearing loss. Tinnitus, the perception of sound in the absence of an external source, is common in people with severe-t... Read More about Evaluation of factors predicting tinnitus outcomes following cochlear implantation: Protocol for a prospective quasi-experimental study.

Uses of Linguistic Context in Speech Listening: Does Acquired Hearing Loss Lead to Reduced Engagement of Prediction? (2024)
Journal Article

Research investigating the complex interplay of cognitive mechanisms involved in speech listening for people with hearing loss has been gaining prominence. In particular, linguistic context allows the use of several cognitive mechanisms that are not... Read More about Uses of Linguistic Context in Speech Listening: Does Acquired Hearing Loss Lead to Reduced Engagement of Prediction?.

Chip Morphology Prediction in Inconel 718 Milling through Machine Learning to Control Surface Integrity (2024)
Journal Article

A nickel-based aerospace superalloy, Inconel 718 presents machining challenges because of its hardness and strength. Monitoring and predicting chip morphology during milling is essential for early defect detection and process optimisation. This study... Read More about Chip Morphology Prediction in Inconel 718 Milling through Machine Learning to Control Surface Integrity.

Investigating the variation of particle distribution and surface texture of top surfaces based on build position in laser powder bed fusion (2024)
Journal Article

Quality analysis of additively manufactured (AM) surfaces is complex, yet critical for determining the functionality of parts and technology improvement. To accurately assess the quality of AM parts, it is necessary to consider the industrial applica... Read More about Investigating the variation of particle distribution and surface texture of top surfaces based on build position in laser powder bed fusion.

Chromosomal integration of the pSOL1 megaplasmid of Clostridium acetobutylicum for continuous and stable advanced biofuels production (2024)
Journal Article

Biofuel production by Clostridium acetobutylicum is compromised by strain degeneration due to loss of its pSOL1 megaplasmid. Here we used engineering biology to stably integrate pSOL1 into the chromosome together with a synthetic isopropanol pathway.... Read More about Chromosomal integration of the pSOL1 megaplasmid of Clostridium acetobutylicum for continuous and stable advanced biofuels production.

Orthotist involvement in early gait rehabilitation after stroke: A cross-sectional survey of orthotists in the United Kingdom (2024)
Journal Article

Background: The role of the orthotist in early gait rehabilitation after stroke in the United Kingdom is currently poorly understood. Objectives: The objective of this study was to capture current opinion and practice of orthotists on their ro... Read More about Orthotist involvement in early gait rehabilitation after stroke: A cross-sectional survey of orthotists in the United Kingdom.

DeepWaterFraction: A globally applicable, self-training deep learning approach for percent surface water area estimation from Landsat mission imagery (2024)
Journal Article

Surface water area estimation is essential for understanding global environmental dynamics, yet it presents significant challenges, particularly when dealing with small water bodies like ponds and narrow width rivers. Surface water areas for these sm... Read More about DeepWaterFraction: A globally applicable, self-training deep learning approach for percent surface water area estimation from Landsat mission imagery.