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Research skills and writing in business (Business and Management)
No full textResearcher Development Programme (RDP) seminar
Knowledge, education and public theology: Reflections from the UK
No full textKnowledge is the commodity education deals in. In the UK, just prior to the general election that he lost, Rishi Sunak, the then Conservative Prime Minister, told his Party conference that he would see that “proper knowledge” was taught in schools rather than “Labour ideology”. As I write, the new Labour government is launching its own Curriculum Review. This happens against a background where school inspectors look for a knowledge-rich curriculum. This article explores what public theologians might have to say about “proper knowledge” in education
POS1104 The development and validation of a risk stratification questionnarire to screen for medication related osteonecrosis of the jaw risk in osteoporotic patients
No full textInvestigating multimodality, reception and civic participation on YouTube. A case study of the documentary “Greece: The Hidden War”
No full textSocial media have long provided opportunities for political and civic participation and YouTube is one of those social media platforms that has been studied and analysed in this light (Carpentier, 2014; Way, 2015). This paper explores the relationship between the multimodal representation of a historical documentary, Greece, The Hidden War (Gabriel, 1986) and the reception and discussions amongst its viewers in the comments, to investigate the way in which the multimodal representation influenced the ensuing discussions. By carrying out a multimodal analysis of the documentary and a reception study of the related comments, also informed by descriptive statistics, the research investigates which aspects of the documentary the viewers draw on, which topics and discourses they bring into the discussion that develops in the comments, and how they articulate their points in response to them. The reception study outlined above is corroborated by a multimodal analysis of the social actors (van Leeuwen, 1996) mentioned by the viewers. This is based on constructs borrowed from social semiotics (e.g. Kress and van Leeuwen, 1996, 2001; van Leeuwen, 1999; Machin and Mayr, 2012) and recently applied to documentary films (Castaldi, 2021, 2024, 2025). The reception analysis highlights three levels of engagement: a micro level that pertains themes and events specifically related to the programme; a meso level that addresses the Greek Civil War in its entirety; a macro level that relates to broader ideological antagonisms. The findings show how the multimodal representation influences viewers’ responses, and highlight the agentive role and rhetorical strategies of the viewers in their interpretation and recontexualisation of the events portrayed in the documentary
Art, activism, aesthetics & AI (SCANDI presentation) Includes short videos
No full textMy presentation offers a look at my practice-based research exploring Black British female identity through art, activism, and AI.
The Anthro-Digital Narratives (ADN) framework and EthnoGo mobile app, both created and developed by me, are key components; they support a wider investigation into representation, intersectionality, and digital storytelling.
My presentation includes autoethnographic reflection, visual ethnography, community-based work, and AI-driven creative practice.
Showcasing practical tools and original methodologies for marginalised researchers and artists navigating both academic and cultural spaces, all while reclaiming narrative authority in tech, media, and art
Improving the suspected cauda equina syndrome pathway at a district general hospital: a quality improvement project
No full textCauda equina syndrome (CES) is a surgical emergency
caused by acute compression of the lumbosacral nerve
roots, requiring urgent surgical decompression. Delays in
management can lead to permanent bowel and bladder
incontinence, sexual dysfunction, lower limb paralysis and
chronic pain.
The Getting it Right First Time (GIRFT) National CES
Pathway 2023 mandates that patients with red flag
symptoms require an ‘emergency MRI as soon as possible,
certainly within 4 hours of request’. However, an audit at
Medway Hospital (MH) showed that despite achieving this
target, patients still experience delays from emergency
department (ED) attendance (time of arrival) to MRI scan
(median 5.9 hours).
In response, MH launched a CES working group of
orthopaedic surgeons, radiologists, emergency doctors
and managers. Having identified time to MRI request
as a major driver of delays, the team altered the GIRFT
target to a SMART primary aim of 4 hours from ED
presentation to MRI. Two key interventions were planned:
(1) the translation of the GIRFT guidelines into a standard
operating procedure (SOP), cotargeting a secondary
outcome improvement of more accurately identifying those
at risk of CES, thus reducing unnecessary MRIs for those
that did not meet those guidelines and (2) the extension of
MRI operational hours.
The new SOP was implemented across three plan-do-
study-act cycles, but MRI operational hours were not
extended. The primary outcome of reduction in time from
ED presentation to MRI was not achieved (5.9 to 5.7 hours).
Secondary aim improvements include a reduction of
unnecessary MRIs (38% to 18%), CES MRI scans/day (0.5/
day to 0.4/day), time to analgesia (5.3 to 4.2 hours) and
incorrect referrals to the General Practitioner-led Medway
on Call Care service (9% to 0%).
Suggestions for further improvements within district
general hospitals include a 24-hour emergency MRI
service and a standardised CES MRI request form
Determining minimum cuff pressure required to reduce arterial blood flow at rest
No full textThe aim of our study was to determine the minimum cuff pressure to induce alterations in the brachial and popliteal blood flow (BF). Forty-two healthy men underwent an incremental cuff pressure protocol at rest. The cuff was positioned at the proximal part of the right arm (9 cm width, brachial artery) and thigh (13 cm width, superficial femoral artery) in a randomized order. Pressure increments started at 0 mmHg, increased by 20 mmHg up to 100 mmHg, and then by 10 mmHg until total occlusion of BF. Each pressure was held for 30 s to stabilize BF and measurements were carried out on brachial (BA) and popliteal (PA) arteries using a 2-D B-mode ultrasound. Mean arterial occlusion pressure (AOP) was 161 ± 18 mmHg in BA and 150 ± 15 mmHg for the PA. At 20–100 mmHg, the mean BF changes were 4% (BA) and 11% (PA), without significant BF reductions compared to baseline values. Reductions in BF vs. baseline (p < 0.05) were found from 120 mmHg (BA) and 110 mmHg (PA) cuff pressures. Calculations of the minimal clinically important differences showed meaningful changes beginning at 110 mmHg for BA and 100 mmHg for PA. Experimental approaches requiring BF restriction should use cuff pressures greater than 69% (BA) and 67% (PA) of AOP to promote significant reductions in blood flow
Generative AI robs students of the joy of learning
No full textRapid developments in the field of Generative AI have caused businesses, educators and politicians to consider how best to accommodate and utilise these new technologies. This article explores the implications of using AI, particularly Large Language Models (LLMs), in the writing process. While accepting that artificial intelligence has many valid and valuable uses in other spheres of human existence, this article argues that using LLMs at any stage of the academic writing process beyond grammar-checking is detrimental to student learning. This article explains the importance of students mastering each stage of the Basic Model of Learning to Write Well (learning, thinking, writing), identifies higher-order thinking as the key objective of education and reminds readers of why learning is one of the most joyful activities a human can experience
The landscape of conventional and artificial intelligence-based clinical prediction models in non-small-cell lung cancer: from development to real-world validation.
No full textGlobally, lung cancer remains the most common cause of cancer mortality, with non-small-cell lung cancer (NSCLC) being the most common subtype of lung cancer diagnosed. This review paper provides a comprehensive landscape of clinical prediction models (CPMs) in NSCLC, including in early-stage and metastatic disease, and the recent acceleration of artificial intelligence integration. Prediction models are developed using multimodal patient data to allow oncologists to make evidence-based decisions regarding patient treatment options. Despite these models in early-stage and metastatic NSCLC showing promise, their clinical application provides challenges, involving an unmet need for external validation, alongside a lack of prospective modelling. However, the continued advancements in this field, comprising production and accessibility of large-scale pathology databases and external validation of developed models, allow for continued research and progress. These models have potential to assist in personalised treatment selection, supporting oncologists in perceiving future risk factors or issues associated with a specific targeted therapy for an individual patient, ultimately optimising treatment to precise, personalised options for individuals diagnosed with NSCLC. [Abstract copyright: Copyright © 2025 The Author(s). Published by Elsevier Ltd.. All rights reserved.
