Search results

This study aims to investigate the demographic and clinical characteristics associated with different risk stratification levels on the Decision Support Tool for Physical Health (DST-PH). The DST-PH was designed to stratify risk of avoidable mortality in adults with intellectual disabilities.

A prospective cohort study design was used. Data, including age, gender, ethnicity and completed DST-PH assessments, was collected from adults with intellectual disabilities within an NHS trust in the North-West of England. Descriptive statistics and a risk factor analysis were used to investigate differences between those rating Red, Amber and Green on the DST-PH.

Risk factor analysis revealed key clinical indicators linked to avoidable mortality. Notably, those experiencing posture or mobility difficulties, transitions in care, an untreated or unstable mental health condition or significant behavioural problems were identified to be at significantly heightened risk of avoidable death. These findings emphasise the importance of proactively recognising and addressing these experiences, particularly posture- and mobility-related challenges, in individuals with intellectual disabilities. It is important to note this study’s findings are based on a small sample size. Therefore, further research with a larger and more diverse population is recommended to validate and expand upon these results.

To the authors’ knowledge, this is the first study which has used a risk stratification tool to investigate the clinical and demographic characteristics of individuals with intellectual disability at higher risk of avoidable mortality.

This paper aims to inform noncataloguers about the current and historical significance of both machine readable cataloguing (MARC) records and traditional cataloguing as well as introduce them to current struggles to modernize.

The approach of this column is to break-down what may appear to be a crisis in the modernization of library cataloguing and metadata by placing the issues in their historical context and considering existing technologies in a user-friendly manner.

MARC-based cataloguing is well-established, robust and widely used in many library applications. It is not easily replaced and attempts to do so have had very slow progress. Although change is expected in the future, it may lay with solutions based on Artificial Intelligence (AI) technologies.

Although there are many papers discussing the merits of traditional cataloguing and the need for new methods and standards, few are written from a nontechnical point of view and for noncataloguers or those not working in systems departments. This column's intended audience is all library workers with an emphasis on those who are not familiar with MARC.

In this study, students’ perceptions of the effective practices of their research mentors were examined. The research mentors implemented the practices informed by the Center for the Improvement of Mentored Experiences in Research (CIMER) mentorship competencies to mentor underrepresented students in engineering education research in a virtual environment.

This research experience for undergraduates (REU) program, situated in the United States of America, consisted of undergraduate students (i.e. mentees), graduate students and faculty mentors who all had at least one underrepresented identity in engineering (i.e. Black, Latiné/x, and/or women). Using qualitative methods, we used data from reflection surveys and follow-up interviews with REU mentees to understand the outcomes of the mentorship strategies employed by the mentors in the program. The data were analyzed thematically using CIMER model constructs and social capital theory as guiding frameworks.

The results indicated the identified strategies students perceived as the most impactful for mentorship throughout the program. Students in the REU gained knowledge on how to activate social capital in mentorship relationships and how to better mentor others.

The findings provide insight on how to operationalize the CIMER mentorship competencies to skillfully mentor underrepresented students in engineering. Given the size of the REU and the nature of qualitative research, the sample size was limited.

The results help inform mentorship practices for underrepresented individuals in engineering education and the workforce. Further, they add to the practical knowledge of implementing CIMER best practices virtually, at a time when the world has transitioned to more hybrid and virtual working and learning environments.

This study identifies impactful strategies for operationalizing mentorship strategies informed by theory- and evidence-based CIMER mentorship competencies. In addition, this study extends knowledge about how to implement mentoring best practices and engage mentorship in a virtual environment.

General practitioners (GPs) play an important role in adult safeguarding. However, their experiences of this role have received scant attention in the UK and internationally. This study aimed to explore their experiences of safeguarding within care homes (CHs) for older adults where, as they are among the practitioner groups most frequently visiting, they are well-positioned to contribute to bringing abuse and neglect to light.

This study involved qualitative methods. Semi-structured interviews were undertaken with 12 GPs to explore their experiences of safeguarding in CHs. This included the issues that prompted their concerns, actions taken in response, difficulties and dilemmas experienced, CH safeguarding during the COVID-19 pandemic. Thematic analysis was undertaken, taking an inductive approach to the analysis.

GPs seldom witnessed what they considered clear signs of abuse/neglect, but instead more frequently observed “softer”, more ambiguous signs. They undertook a range of actions in response to these, in addition to formally reporting concerns. They experienced difficulties and dilemmas in respect of the hidden nature of abuse, uncertainty about the legitimacy of their concerns and thresholds for reporting, as well as dilemmas associated with the need to preserve essential working relationships with CHs, yet avoiding collusion with staff.

Although GPs play an important role in identifying signs of abuse/neglect, this role has been little explored to date. Their safeguarding role within CHs has been especially neglected, and the authors are aware of no other studies that have explored GPs’ roles and experiences in this context, within or outwith the UK.

The purpose of this paper is to open a debate on the interrelationship between categorisation, labelling, disclosure and enforcement. The extant literature on the accounting reporting environment explores the provision of both mandated and voluntary disclosures. Often disclosure is defined in a less than rigorous manner, mislabelled, misclassified and uses a strict dichotomy that limits information fineness.

The authors advance a non-dichotomous continuum of disclosure from voluntary and innovative at one end of the spectrum, to mandatory at the other, that helps reduce mislabelling and miscategorisation.

Firms’ voluntary disclosures cannot be properly interpreted without reviewing their interrelationship with mandatory disclosures and vice versa. Definitions of voluntary disclosure that have been used in empirical studies are examined, including the mislabelling and misclassification of voluntary disclosures and the authors provide examples of truly voluntary and innovative disclosures by companies.

This paper constructs, and provides evidence consistent with, a reporting continuum rather than the dichotomous disclosure measure that dominates decades of prior literature.

The purpose of this paper is to examine recovery through lived experience. It is part of a series that explores candid accounts of addiction and recovery to identify important components in the recovery process.

The G-CHIME model comprises six elements important to addiction recovery (growth, connectedness, hope, identity, meaning in life and empowerment). It provides a standard against which to consider addiction recovery. It has been used in this series, as well as in the design of interventions that improve well-being and strengthen recovery. In this paper, a first-hand account is presented, followed by a semi-structured e-interview with the author of the account. Narrative analysis is used to explore the account and interview through the G-CHIME model.

This paper shows that addiction recovery is a remarkable process that can be effectively explained using the G-CHIME model. The significance of each component in the model is apparent from the account and e-interview presented.

Each account of recovery in this series is unique, and as yet, untold.

This paper aims to assess the efficiency of emulsified essential oils in glycerol as eco-friendly antimicrobial and plasticized agents added to the biopolymer of gelatin for lining historical oil paintings on canvases.

Cedar oil, cinnamon oil and their mixtures were emulsified in glycerol and incorporated into gelatin adhesive as green biocides and plasticizers. Physical, biological, chemical and mechanical tests were conducted on experimental mock-ups to assess the gelatin-based adhesive formulations for the reinforcement of canvas supports. Scanning electron microscope, colorimetric measurements, antimicrobial activity test, attenuated total reflection-Fourier transform infrared spectroscopy, tensile strength and elongation tests were carried out on the mock-ups before and after the artificial aging.

The formulations of gelatin-based adhesive with cinnamon and cinnamon-cedar mixture emulsified in glycerol proved their efficiency on the antimicrobial activity test, chemically delaying the decomposition of gelatin and accordingly providing compatible mechanical properties. Gelatin-based adhesive with emulsified cinnamon oil showed a slight yellowing that was quite improved with the mixture of the cinnamon-cedar-based adhesive formulation.

This study promotes a green approach to lining historical oil paintings by developing green formulations from bio-based origins that minimize the shrinkage and microbial infection of gelatin for lining paintings.

This study uses bibliometric visualization techniques to comprehensively review the intertwined concepts of dark tourism, thana tourism and ghost tourism from 2000 to 2023. The research seeks to clarify the ambiguity and inconsistencies arising from the interchangeable use of these terms and sets forth a roadmap for future research endeavors.

This study meticulously extracts research keywords from 634 scholarly papers in the Scopus database. It undertakes a thorough bibliometric analysis utilizing the visualization of similarities (VOS) viewer and RStudio to map the interconnectedness of these tourism phenomena.

The study identifies and explores contemporary theories such as self-categorization theory, stimulus-organism-response theory, embodiment theory, self-determination theory, socio-cognitive theory, risk perception theory, services theory, dark tourism theory, social and cultural theory, push-pull theory, performance theory, and wound culture theory. The research reveals four primary clusters through keyword co-occurrence and bibliographic coupling analyses: dark tourism insights, dynamics of dark tourism, dark tourism review and dark tourism experiences, illustrating their interrelationships and robustness.

Dark tourism insights can guide ethical practices, ensuring respectful site management and accurate historical representation. Integrating dark tourism into broader destination strategies can diversify offerings, attract niche markets and contribute to preserving historical memory through reflective experiences.

This study's outcomes significantly contribute to tourism literature by enhancing our understanding of the overlapping terminologies associated with dark, thana and ghost tourism. This improved comprehension sheds light on the importance of the research agenda surrounding the concept of dark, thana and ghost tourism.

This study aims to evaluate the performance of LLMs with various prompt engineering strategies in the context of health fact-checking.

Inspired by Dual Process Theory, we introduce two kinds of prompts: Conclusion-first (System 1) and Explanation-first (System 2), and their respective retrieval-augmented variations. We evaluate the performance of these prompts across accuracy, argument elements, common errors and cost-effectiveness. Our study, conducted on two public health fact-checking datasets, categorized 10,212 claims as knowledge, anecdotes and news. To further analyze the reasoning process of LLM, we delve into the argument elements of health fact-checking generated by different prompts, revealing their tendencies in using evidence and contextual qualifiers. We conducted content analysis to identify and compare the common errors across various prompts.

Results indicate that the Conclusion-first prompt performs well in knowledge (89.70%,66.09%), anecdote (79.49%,79.99%) and news (85.61%,85.95%) claims even without retrieval augmentation, proving to be cost-effective. In contrast, the Explanation-first prompt often classifies claims as unknown. However, it significantly boosts accuracy for news claims (87.53%,88.60%) and anecdote claims (87.28%,90.62%) with retrieval augmentation. The Explanation-first prompt is more focused on context specificity and user intent understanding during health fact-checking, showing high potential with retrieval augmentation. Additionally, retrieval-augmented LLMs concentrate more on evidence and context, highlighting the importance of the relevance and safety of retrieved content.

This study offers insights into how a balanced integration could enhance the overall performance of LLMs in critical applications, paving the way for future research on optimizing LLMs for complex cognitive tasks.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2024-0111

This study aims to explore the possibilities for regional (intra and inter) trade between Central Asia and South Asia (CASA) by examining several frameworks that impact the economic integration of these regions.

The study uses five indices, specifically the export diversification index, export survival rates, export sophistication, revealed comparative advantage and intra-industry trade index in South and Central Asia, from 2005 to 2021.

The findings show a twofold increase in the potential trade value between the two regions compared to the actual level. The intra-regional trade in Central Asia accounts for less than 5% of trade with all countries, whereas the intra-regional trade in South Asia accounts for 1.5%, and the inter-regional trade accounts for between 0.2 and 4% of total trade to all destinations. The intensity of trade measurements shows that inter-regional trade flows are modest because they make up a relatively small percentage of the entire trade volume, which includes all destinations, ranging from 0.2 to 4 %.

These findings have a significant impact on the successful implementation of trading-related measures, initiatives and institutional mechanisms for encouraging improved trade between and within both regions.

Export diversification initiatives aim to provide favourable outcomes for all parties involved, focusing on expanding the range of goods and services exchanged. CASA countries with higher diversification have shown more favourable outcomes than those relying on a restricted range of products. The authors expect policies promoting a broader array of exports to boost market shares, while maintaining a narrow focus may hinder new export prospects. In addition, regional value chains and policy initiatives promoting trade and investment could lead to increased value additions to exports, technological transfers and job creation.

The study emphasises the significance of trade-related policies, programmes and institutional mechanisms in promoting trade between CASA. It emphasises the need for policies that support investment and trade, adopt new requirements of the Agreement on Trade Facilitation and promote diversity and latency.

Based on economic analysis, the study offers practical insights and strategies for businesses in the CASA regions. It also provides analytical tools for academics and decision makers, as well as policy and programme recommendations for government agencies, development partners, researchers and individuals interested in trade dynamics in these regions.