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Correlates of sedentary behaviour in adults with intellectual disabilities—A systematic review
(2018-10-17) Oppewal, Alyt; Hilgenkamp, Thessa I.M.; Elinder, Liselotte Schäfer; Freiberger, Ellen; Rintala, Pauli; Guerra-Balic, Myriam; Giné-Garriga, Maria; Cuesta-Vargas, Antonio; Oviedo, Guillermo R.; Sansano-Nadal, Oriol; Izquierdo-Gómez, Rocio; Einarsson, Ingi; Teittinen, Antti; Melville, Craig A.; Department of Sport Science
Individuals with intellectual disabilities (ID) are at high risk for high levels of sedentary behaviour. To inform the development of programmes to reduce sedentary behaviour, insight into the correlates is needed. Therefore, the aim of this study is to review the evidence on correlates of sedentary behaviour in adults with ID. We performed a systematic literature search in Ovid Medline, Ovid Embase, Web of Science and Google Scholar up to 19 January 2018, resulting in nine included studies that were published from 2011 to 2018. Correlates were categorized according to the ecological model. Studies predominantly focused on individual level correlates. Of those correlates studied in more than one study, having epilepsy was associated with less sedentary behaviour and inconsistent results were found for sex, genetic syndromes, weight status, physical health, mobility, level of ID, and mental health. Of the few interpersonal and environmental factors studied, only living arrangements were studied in more than one study, with inconsistent results. To date, we.
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A Review of Secondary Aluminum Production and Its Byproducts
(2021-09) Padamata, Sai Krishna; Yasinskiy, Andrey; Polyakov, Peter; Department of Engineering
Secondary aluminum production is required for the conservation of the environment. It can significantly reduce greenhouse gas emissions and energy consumption and reduce the consumption of alumina, a source of primary aluminum. Secondary aluminum production requires sorting processes for the metal scrap before starting the refining process. Salt slags generated from both primary and secondary aluminum production need to be recycled/treated as they are considered hazardous byproducts. This review paper discusses the methods used for sorting and refining aluminum waste and managing and utilizing slag cakes/slag from recycling techniques.
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A model invalidation-based approach for elucidating biological signalling pathways, applied to the chemotaxis pathway in R. sphaeroides
(2009-10-31) Roberts, Mark; August, Elias; Hamadeh, Abdullah; Maini, Philip; McSharry, Patrick McSharry; Armitage, Judith; Papachristodoulou, Antonis; Department of Engineering
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Using the electrodermal activity signal and machine learning for diagnosing sleep
(2023) Piccini, Jacopo; August, Elias; Óskarsdóttir, María; Arnardóttir, Erna Sif; Department of Engineering; Department of Computer Science
Introduction: The use of the electrodermal activity (EDA) signal for health diagnostics is becoming increasingly popular. The increase is due to advances in computational methods such as machine learning (ML) and the availability of wearable devices capable of better measuring EDA signals. One field where work on EDA has significantly increased is sleep research, as changes in EDA are related to different aspects of sleep and sleep health such as sleep stages and sleep-disordered breathing; for example, obstructive sleep apnoea (OSA). Methods: In this work, we used supervised machine learning, particularly the extreme gradient boosting (XGBoost) algorithm, to develop models for detecting sleep stages and OSA. We considered clinical knowledge of EDA during particular sleep stages and OSA occurrences, complementing a standard statistical feature set with EDA-specific variables. Results: We obtained an average macro F1-score of 57.5% and 66.6%, depending on whether we considered five or four sleep stages, respectively. When detecting OSA, regardless of the severity, the model reached an accuracy of 83.7% or 78.4%, depending on the measure used to classify the participant's sleep health status. Conclusion: The research work presented here provides further evidence that, in the future, most sleep health diagnostics might well do without complete polysomnography (PSG) studies, as wearables can detect well the EDA signal.
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Unseen consequences : the effect of activity-based work environments on work recovery
(2025-01) Valgeirsson, Halldor; Halldorsson, Freyr; Kristinsson, Kari; Department of Business and Economics
Leaders implementing activity-based work environments seek benefits for their organizations. These include increasing employee activities such as communication, collaboration, and innovation and reducing housing expenses. While there are several benefits to implementing an activity-based work environment, research has highlighted various issues related to employee well-being in such environments. These include increased noise and distraction, reduced privacy, and heightened workplace stress. This study focuses on a novel issue concerning employee well-being by investigating how an activity-based work environment influences work recovery. Using a longitudinal design, we examine a public sector workplace whose employees were surveyed three times during the implementation of an activity-based work environment. Our results show that satisfaction with activity-based work environments plays an important role in well-being outside work. In contrast, employees less satisfied with activity-based environments are more likely to face difficulties recovering from work. Directions for further research and the implications of these results for organizations are discussed.

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