Recent Submissions

  • Optimal omegas - barriers and novel methods to narrow omega-3 gaps. A narrative review.

    Derbyshire, Emma J; Birch, Catherine S; Bonwick, Graham A; English, Ashley; Metcalfe, Phil; Li, Weili (2024-02-02)
    Dietary intakes of omega-3 long chain polyunsaturated fatty acids (O3LC-PUFAs) such as eicosapentaenoic and docosahexaenoic acid are central to development and health across the life course. O3LC-PUFAs have been linked to neurological development, maternal and child health and the etiology of certain non-communicable diseases including age-related cognitive decline, cardiovascular disease, and diabetes. However, dietary inadequacies exist in the United Kingdom and on a wider global scale. One predominant dietary source of O3LC-PUFAs is fish and fish oils. However, growing concerns about overfishing, oceanic contaminants such as dioxins and microplastics and the trend towards plant-based diets appear to be acting as cumulative barriers to O3LC-PUFAs from these food sources. Microalgae are an alternative provider of O3LC-PUFA-rich oils. The delivery of these into food systems is gaining interest. The present narrative review aims to discuss the present barriers to obtaining suitable levels of O3LC-PUFAs for health and wellbeing. It then discusses potential ways forward focusing on innovative delivery methods to utilize O3LC-PUFA-rich oils including the use of fortification strategies, bioengineered plants, microencapsulation, and microalgae. [Abstract copyright: Copyright © 2024 Derbyshire, Birch, Bonwick, English, Metcalfe and Li.]
  • Breaking the Boundaries Collective – A Manifesto for Relationship-based Practice

    Darley, D.; Blundell, P.; Cherry, L.; Wong, J.O.; Wilson, A.M.; Vaughan, S.; Vandenberghe, K.; Taylor, B.; Scott, K.; Ridgeway, T.; et al. (Informa UK Limited, 2024-02-23)
  • Responding well to Spiritual Abuse: practice implications for counselling and psychotherapy

    Oakley, Lisa; orcid: 0000-0001-8909-7889; Kinmond, Kathryn; orcid: 0000-0001-8105-6011; Blundell, Peter; orcid: 0000-0003-4392-0600 (Informa UK Limited, 2024-02-22)
  • Who is at risk? Adults with intellectual disability at risk of admission to mental health inpatient care

    Durand, Marianne; orcid: 0009-0007-6396-878X; Nathan, Rajan; orcid: 0000-0003-2780-6170; Holt, Sophie; Nall‐Evans, Sharleen; orcid: 0009-0001-1697-5473; Woodrow, Ceri; orcid: 0000-0003-3325-224X (Wiley, 2024-02-21)
    AbstractBackgroundNHS England's Transforming Care agenda aims to reduce the number of adults with intellectual disabilities and autistic adults in mental health hospitals. The aim was to understand the demographic and clinical characteristics of those most at risk of admission.MethodA cohort, retrospective study of adults using community intellectual disability services in the North West of England from 2018 to 2022 was undertaken.ResultsWe compared 211 adults at imminent risk of admission to a mental health hospital and 249 at significant (but not imminent) risk on a validated risk stratification tool. Individuals at significant risk were more likely to have moderate intellectual disability. Individuals at imminent risk were more likely to have diagnoses of mild intellectual disability, autism, personality disorder, or psychosis.ConclusionBy furthering our understanding of the clinical characteristics of those most at risk of admission, the findings inform more appropriate targeting of resources.
  • Lossless Encoding of Time-Aggregated Neuromorphic Vision Sensor Data Based on Point-Cloud Compression

    Adhuran, Jayasingam; orcid: 0000-0002-1477-4395; Khan, Nabeel; Martini, Maria G. (MDPI AG, 2024-02-21)
    Neuromorphic Vision Sensors (NVSs) are emerging sensors that acquire visual information asynchronously when changes occur in the scene. Their advantages versus synchronous capturing (frame-based video) include a low power consumption, a high dynamic range, an extremely high temporal resolution, and lower data rates. Although the acquisition strategy already results in much lower data rates than conventional video, NVS data can be further compressed. For this purpose, we recently proposed Time Aggregation-based Lossless Video Encoding for Neuromorphic Vision Sensor Data (TALVEN), consisting in the time aggregation of NVS events in the form of pixel-based event histograms, arrangement of the data in a specific format, and lossless compression inspired by video encoding. In this paper, we still leverage time aggregation but, rather than performing encoding inspired by frame-based video coding, we encode an appropriate representation of the time-aggregated data via point-cloud compression (similar to another one of our previous works, where time aggregation was not used). The proposed strategy, Time-Aggregated Lossless Encoding of Events based on Point-Cloud Compression (TALEN-PCC), outperforms the originally proposed TALVEN encoding strategy for the content in the considered dataset. The gain in terms of the compression ratio is the highest for low-event rate and low-complexity scenes, whereas the improvement is minimal for high-complexity and high-event rate scenes. According to experiments on outdoor and indoor spike event data, TALEN-PCC achieves higher compression gains for time aggregation intervals of more than 5 ms. However, the compression gains are lower when compared to state-of-the-art approaches for time aggregation intervals of less than 5 ms.

View more