19200 research outputs found
Sort by
Enhancing the participation of young <i>and</i> minoritised fathers in peer research: An intersectional reflexive analysis of methods and ethics
No full textThis article presents an intersectional, reflexive analysis of the research process, methods and ethical considerations involved in a community-based participatory study aimed at increasing and improving the participation of young and minoritised fathers, both in support settings and in research. Conducted by a peer research team comprising beneficiaries and a young male employee of a specialist support charity for young fathers, the substantive aim of Diverse Dads was to explore and address the limited diversity and inclusion of minoritised young fathers in contexts of family and multi-agency service provision. This aim prompted critical attention to questions of inclusion and empowerment for young fathers throughout the research process, including those from ethnic minority communities, as overlooked and under-represented populations in service contexts and research. Synthesising intersectionality and participation theories, we employ an ‘intersectional participatory framework’, to outline and interrogate four ‘critical moments’, and associated methodological strategies, that researchers might encounter in co-produced research with participants who are marginalised and/or minoritised. These are: (1) creating spaces to facilitate and enhance research participation, (2) fostering community empowerment through participation, (3) foregrounding minoritised voices and (4) (en)countering essentialism. Via these themes, we consider the possibilities for enhancing the inclusion and participation of marginalised and minoritised participants and explore the challenges and tradeoffs in research and practice contexts where engagement with such populations has proven challenging to overcome
An experiment-based investigation into machine learning for predicting coronary heart disease
No full textExtensive inquiry has been conducted to explore potential applications of machine learning methodologies in the realm of cardiovascular disease management. To facilitate a more comprehensive investigation This study explores machine learning algorithms, specifically Support Vector Machines (SVM) and Artificial Neural Networks (ANN), for disease identification, focusing on cardiovascular diseases. Utilizing a Kaggle dataset of around seventy thousand medical records, the research aims to refine methodology and assess performance variations. SVM and ANN techniques are applied to the Kaggle dataset, revealing SVM accuracies of 0.9997 (default), 0.9998 (RBF kernel, C=100.0), and 1.000 (linear kernel, C=1000.0). The Feedforward neural network, using Adam optimization across 50 batches and 10 epochs, achieved perfect accuracy of 1.000
Building Professional Relationships and Student Confidence through Early Childhood Graduate Practitioner Competencies
No full textAbstractThis paper reports on how Early Childhood Graduate Practitioner Competencies (ECGPCs) impact on professional relationships and develop bidirectional confidence in the practical abilities of Early Childhood Studies (ECS) students in England. The study adopted an interpretive approach, seeking views through questionnaires (n=38) which were administered, through purposeful sampling, to students, mentors and academics from three universities in England offering Early Childhood Studies (ECS) degrees with ECGPCs. Findings suggest that the ECGPCs enabled focused placement students, with stakeholders recognising the potential for confidence and increased professionalism through the direction that the ECGPCs provide. In contexts of rapid change in Early Childhood policy this article argues the importance of the ECGPCs and of placement to support the graduate professional identity of the early childhood workforce. Interlinking and evidencing knowledge from research and practice enable graduates to articulate and have competencies in; ‘what they do’, ‘how they do ‘it’’ and essentially ‘why they do ‘it’’’. This is essential in promoting graduate relational/collegial professionals and advocating for stronger societal recognition and valuing of young children and the professionals working with them. With the ECGPCs being a new initiative within the United Kingdom, thisstudy is unique in that it begins the research conversation around the success and challenges that this new initiative brings to the suite of Early Childhood (EC) qualifications
Perceived partner phubbing predicts lower relationship quality but partners’ enacted phubbing does not
No full text
AI in relationship counselling: Evaluating ChatGPT's therapeutic capabilities in providing relationship advice
No full textThe role of community organisations on the feelings of integration of Turkish- speaking migrant women in London.
Get PDF
Corporations and the Duty of Care for Nature ?:An Amicus Curiae for the Case of Lungowe & Others v Vedanta Resources PLC & Konkola Copper Mines
No full textComparative evaluation of NLP approaches for requirements formalisation
Get PDFMany approaches have been proposed for the automated formalisation of software requirements from semi-formal or informal requirements documents. However this research field lacks established case studies upon which different approaches can be compared, and there is also a lack of accepted criteria for comparing the results of formalisation approaches. As a consequence, it is difficult to determine which approaches are more appropriate for different kinds of formalisation task. In this paper we define benchmark case studies and a framework for comparative evaluation of requirements formalisation approaches, thus contributing to improving the rigour of this research field. We apply the approach to compare four example requirements formalisation methods