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Outputs (34)

Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity (2020)
Journal Article
Gascoyne, L. E., Brookes, M. J., Rathnaiah, M., Zia Ul Haq Katshu, M., Koelewijn, L., Williams, G., …Morris, P. G. (2021). Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity. NeuroImage: Clinical, 29, Article 102524. https://doi.org/10.1016/j.nicl.2020.102524

Magnetoencephalography (MEG) measures magnetic fields generated by synchronised neural current flow and provides direct inference on brain electrophysiology and connectivity, with high spatial and temporal resolution. The movement-related beta decrea... Read More about Motor-related oscillatory activity in schizophrenia according to phase of illness and clinical symptom severity.

Ion channels as therapeutic targets in high grade gliomas (2020)
Journal Article
Griffin, M., Khan, R., Basu, S., & Smith, S. (2020). Ion channels as therapeutic targets in high grade gliomas. Cancers, 12(10), Article 3068. https://doi.org/10.3390/cancers12103068

Glioblastoma multiforme (GBM) is a lethal brain cancer with an average survival of 14-15 months with maximal treatment. High grade gliomas (HGG) form a leading cause of CNS cancer-related death in children and adults due to the aggressive nature of t... Read More about Ion channels as therapeutic targets in high grade gliomas.

Targeting glutamine synthesis inhibits stem cell adipogenesis in vitro (2020)
Journal Article
Velickovic, K., Lugo Leija, H. A., Surrat, A., Kim, D.-H., Sacks, H., Symonds, M. E., & Sottile, V. (2020). Targeting glutamine synthesis inhibits stem cell adipogenesis in vitro. Cellular Physiology and Biochemistry, 54(5), 917-927. https://doi.org/10.33594/000000278

Background/Aims: Glutamine is the most abundant amino acid in the body and has a metabolic role as a precursor for protein, amino sugar and nucleotide synthesis. After glucose, glutamine is the main source of energy in cells and has recently been sho... Read More about Targeting glutamine synthesis inhibits stem cell adipogenesis in vitro.

What are the development priorities for management of type 2 diabetes by general practitioners in Ningbo, China: a qualitative study of patients’ and practitioners’ perspectives (2020)
Journal Article
Woolley, A., Li, L., Solomon, J., Li, J., Huang, K., Chahal, P., …Chattopadhyay, K. (2020). What are the development priorities for management of type 2 diabetes by general practitioners in Ningbo, China: a qualitative study of patients’ and practitioners’ perspectives. BMJ Open, 10(9), Article e037215. https://doi.org/10.1136/bmjopen-2020-037215

Objectives: To explore patient and general practitioner (GP)’s perspectives on primary care management of patients with type 2 diabetes (T2DM) in Ningbo, China. We aim to understand the current benefits and challenges, and to identify development pri... Read More about What are the development priorities for management of type 2 diabetes by general practitioners in Ningbo, China: a qualitative study of patients’ and practitioners’ perspectives.

Multimodal virtual environments: an opportunity to improve fire safety training? (2020)
Journal Article
Lawson, G., Roper, T., Shaw, E., Hsieh, M.-K., & Cobb, S. V. (2020). Multimodal virtual environments: an opportunity to improve fire safety training?. Policy and Practice in Health and Safety, 18(2), 155-168. https://doi.org/10.1080/14773996.2020.1796085

Fires and fire-related fatalities remain a tragic and frequent occurrence. Evidence has shown that humans adopt sub-optimal behaviours during fire incidents and, therefore, training is one possible means to improve occupant survival rates. We present... Read More about Multimodal virtual environments: an opportunity to improve fire safety training?.

Association between socioeconomic factors and soft drink consumption among adults in Cambodia: a cross-sectional study (2020)
Journal Article
Sim, S., Pisey, V., & Dewey, R. S. (2020). Association between socioeconomic factors and soft drink consumption among adults in Cambodia: a cross-sectional study. F1000Research, 9, Article 708. https://doi.org/10.12688/f1000research.24890.1

Background: Soft drinks are an attractive and popular drink, consumed by many people to fulfill their energy. However, soft drink consumption is an important risk factor for non-communicable diseases. This study aimed to investigate the association b... Read More about Association between socioeconomic factors and soft drink consumption among adults in Cambodia: a cross-sectional study.

Results of a UK-wide vignette study with occupational therapists to explore cognitive screening post-stroke (2020)
Journal Article
Geraghty, J., Ablewhite, J., das Nair, R., Lincoln, N., Kontou, E., Roffe, J., …Drummond, A. (2020). Results of a UK-wide vignette study with occupational therapists to explore cognitive screening post-stroke. International Journal of Therapy and Rehabilitation, 27(7),

Background.
There is a paucity of evidence in the UK regarding occupational therapy (OT) cognitive screening, and whether, and how, cognitive impairments are identified and assessed.

Aims
To identify current OT practice for the assessment of c... Read More about Results of a UK-wide vignette study with occupational therapists to explore cognitive screening post-stroke.

Untargeted metabolomics for uncovering biological markers of human skeletal muscle ageing (2020)
Journal Article
Wilkinson, D. J., Rodriguez-Blanco, G., Dunn, W. B., Phillips, B. E., Williams, J. P., Greenhaff, P. L., …Atherton, P. J. (2020). Untargeted metabolomics for uncovering biological markers of human skeletal muscle ageing. Aging, 12(13), 12517-12533. https://doi.org/10.18632/aging.103513

Ageing compromises skeletal muscle mass and function through poorly defined molecular aetiology. Here we have used untargeted metabolomics using UHPLC-MS to profile muscle tissue from young (n=10, 25±4y), middle aged (n=18, 50±4y) and older (n=18, 70... Read More about Untargeted metabolomics for uncovering biological markers of human skeletal muscle ageing.

Supervised Bayesian statistical learning to identify prognostic risk factor patterns from population data (2020)
Book Chapter
Crooks, C. J. (2020). Supervised Bayesian statistical learning to identify prognostic risk factor patterns from population data. In L. B. Pape-Haugaard, C. Lovis, I. Cort Madsen, P. Weber, P. Hostrup Nielsen, & P. Scott (Eds.), Digital personalized health and medicine: Proceedings of MIE 2020 (422-426). IOS Press. https://doi.org/10.3233/SHTI200195

Current methods for building risk models assume averaged uniform effects across populations. They use weighted sums of individual risk factors from regression models with only a few interactions, such as age. This does not allow risk factor effects t... Read More about Supervised Bayesian statistical learning to identify prognostic risk factor patterns from population data.