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‘No one cares because ultimately, you’re an adult’ Exploring emerging adults’ emotional adjustment following their parents’ divorce. An interpretative phenomenological analysis.
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Whole-body insulin sensitivity and changes in skeletal muscle insulin signalling in response to protein ingestion and exercise
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Towards Improving the Quality of Requirement and Testing Process in Agile Software Development: An Empirical Study
No full textUtilizing a Digital Escape Room to Improve Students’ Grasp and Understanding of Qualitative Research Methods
No full textText–image multimodal fusion model for enhanced fake news detection
No full textIn the era of rapid internet expansion and technological progress, discerning real from fake news poses a growing challenge, exposing users to potential misinformation. The existing literature primarily focuses on analyzing individual features in fake news, overlooking multimodal feature fusion recognition. Compared to single-modal approaches, multimodal fusion allows for a more comprehensive and enriched capture of information from different data modalities (such as text and images), thereby improving the performance and effectiveness of the model. This study proposes a model using multimodal fusion to identify fake news, aiming to curb misinformation. The framework integrates textual and visual information, using early fusion, joint fusion and late fusion strategies to combine them. The proposed framework processes textual and visual information through data cleaning and feature extraction before classification. Fake news classification is accomplished through a model, achieving accuracy of 85% and 90% in the Gossipcop and Fakeddit datasets, with F1-scores of 90% and 88%, showcasing its performance. The study presents outcomes across different training periods, demonstrating the effectiveness of multimodal fusion in combining text and image recognition for combating fake news. This research contributes significantly to addressing the critical issue of misinformation, emphasizing a comprehensive approach for detection accuracy enhancement
Building a Community of Inquiry for Pluralistic Practice
No full textPluralism offers a means of recognising the value of multiple voices and perspectives and has emerged as an increasingly significant guiding framework for making sense of the complexity and diversity of contemporary social life. Pluralistic Practice is an open access journal created with the intention of supporting the development of a global community of inquiry within which practitioners, communities, and citizens can share knowledge, experience, and evidence around the challenges and benefits of working pluralistically to facilitate individual and collective well-being, solidarity, and justice. The present article offers an introduction to how the journal will operate and what it hopes to achieve and extends an invitation to be part of this endeavour
