11913 research outputs found
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Structured Coaching Frameworks for Inclusive and Personalized Education: Empowering Neurodivergent Learners
Full text linkThis chapter explores the importance of empowering neurodivergent learners through coaching psychology, focusing on structured frameworks that promote inclusive and personalised education. Acknowledging the unique cognitive, emotional, and social profiles of autistic individuals, ADHDers, dyslexics, and others, the chapter emphasises the necessity for tailored approaches that recognise each learner's strengths and challenges. Educators and coaches can cultivate an environment that encourages self- efficacy, goal- setting, and resilience by integrating coaching frameworks such as the GROW model, CLEAR model, Solution- Focused Coaching, and Motivational Interviewing. This inclusive approach shifts the focus from deficits to strengths, allowing neurodivergent individuals to thrive academically and personally. Through evidence- based practices and a commitment to celebrating neurodiversity, the chapter advocates for a learning landscape where every learner can achieve their full potential, fostering a culture of appreciation and acceptance within educational settings
Strategic responses to institutional pressures in university carbon management: a neo-institutional perspective
Full text linkPurpose
Using neo-institutional theory (three institutional mechanisms and Oliver’s strategic responses framework), this study aims to critically examine the strategic responses of English public universities to institutional pressures for carbon management (CM).
Design/methodology/approach
Diverse universities were selected to reflect institutional variation. Data were collected through 20 semistructured interviews with key sustainability-related managers responsible for CM. Approximately 800 documents were also analyzed.
Findings
This paper reveals how universities navigate complex and changing stakeholder demands through a combination of acquiescence, compromise, avoidance, defiance and manipulation strategies. The findings highlight the predominance of superficial adaptation over substantive transformation, driven by the weakening of institutional pressures, universities’ strategic resistance and power asymmetries.
Practical implications
The evidence suggests universities should create internal incentive systems, be cautious of highly visible but superficial initiatives, and democratize sustainability governance.
Social implications
Demonstrating credible and transparent CM progress not only reduces universities’ footprints but also influences public attitudes and professional behaviors through graduates, staff and community partnerships.
Originality/value
To the best of the authors’ knowledge, this paper is among the first to apply Oliver’s strategic responses framework to analyze universities’ CM engagement, providing new insights into the embedded strategic agency of universities. It challenges traditional interpretations of mimetic behavior as a passive acquiescence response and reconceptualizes imitation as an active strategic tool. It also addresses the underexplored role of power dynamics in shaping institutional processes
LOTL-Hunter: Detecting Multi-Stage Living-off-the-Land Attacks in Cyber-Physical Systems using Decision Fusion Techniques with Digital Twins
Full text linkThe integration of smart sensors and actuators in industrial environments has expanded the cyber-physical attack surface, making it increasingly difficult to distinguish anomalies caused by cyberattacks from those due to mechanical or electrical faults. This challenge is exacerbated by stealthy, multi-stage attacks leveraging Living off the Land (LOTL) techniques, which often evade conventional anomaly detection or intrusion detection systems (IDS).
This study presents a Digital Twin-based testbed for safe, repeatable simulation of multi-stage cyber-physical attacks targeting Cyber-Physical Systems (CPS) and Industrial Control Systems (ICS). We propose a two-level decision fusion method that aggregates and aligns anomalies across network, process, and host domains in synchronized 1-minute intervals. The first-level fusion improves OT-layer detection by applying confidence-aware decision logic to outputs combined from (a) a supervised deep learning model (LSTM-FCN) for process anomalies, (b) an unsupervised model (Isolation Forest) for OPC UA network anomalies, and (c) process alarm signals. The second-level fusion integrates these results with host-based anomalies, computed through point-based scoring of Wazuh alerts, to provide comprehensive IT/OT situational awareness. Experimental results demonstrate improved detection of stealthy, multi-stage APT attack behaviours. Additionally, Large Language Models (LLM) provide summarization of the integrated IT/OT anomaly logs into human-readable insights, enhancing interpretability and supporting cyber threat hunting
Neuroscience in Criminal Justice Systems The Positive Impact of Neurojustice
No full textThis edited collection shows the tangible and positive impacts neuroscience is having in specific jurisdictions for individuals involved in the criminal justice system as witnesses, victims, defendants and legal practitioners. Over the last 30 years, neuroscience has significantly informed legal, philosophical, and doctrinal discussions by deepening our understanding of the relationships between the brain, mind, and criminality. By embracing a practical and realist approach, this book explores the fundamental question of what and how neuroscience has been concretely contributing to criminal justice, with a specific focus on international systems. Notably, the volume brings together perspectives to discuss neuroscience's positive impact on the global criminal justice process. It provides an overview of different legal dimensions that have been thus far positively impacted by neuroscience, as well as some discussion on its future applications to improve the treatment of system-impacted people. To this aim, the book covers two key areas: criminal trials; and punishment, treatment, and reform. This work will appeal to academics, criminal lawyers, judges, policy-makers and reformers interested in how neuroscience contributes to meaningful changes in the criminal justice system. The reader will gain significant insights into neuroscience's present and immediate future contributions to different dimensions of the criminal justice process through original exploration by legal academics and practitioners
The Skin Microbiome Revolution: The Science and Challenges of Prebiotics, Probiotics, and Postbiotics in Skincare
Full text linkThe skin microbiome comprises a diverse community of bacteria, fungi, and archaea, all of which play a foundational role in maintaining skin health, immune tolerance, and barrier integrity. Recent advances in cosmetic science focus on the skin microbiome through the incorporation of prebiotics, probiotics and postbiotics in topical skincare formulations. This review critically examines the scientific understanding of the skin microbiome, explores the mechanisms and extractions of key “biotics” ingredients, and evaluates the clinical and regulatory landscape surrounding their use in the cosmetic industry. Despite promising scientific data and early clinical findings, there are notable challenges, including limited robust in vivo evidence, regulatory ambiguity, difficulties in formulation, and inconsistent definition and marketing claims. Regulatory harmonisation and the development of standardised testing protocols are necessary to fill the gap in today’s research and to maximise the benefits of “biotics” in the cosmetic industry
A Lesion Region Awareness and Adaptive Label-Relation Graph Algorithm for Multi-Label Chest X-ray Image Classification
No full textMulti-label chest X-ray (CXR) diagnosis remains challenging due to the
high variability of lesion regions and the complex inter-disease relationships. Existing algorithms often rely on single-scale features and static label cooccurrence, limiting their ability to capture subtle lesions and dynamic label dependencies. This paper proposes a lesion region awareness and adaptive label-relation graph algorithm for multi-label CXR image classification. Firstly, the multi-scale feature-aware semantic learning method is proposed, which localizes disease regions of interest within features of different image scales, thereby extracting representations rich in the contextual information of the disease. Secondly, the adaptive label relation graph method is proposed,
which dynamically models the dependencies among diseases for each
sample and propagates discriminative features containing disease relations. Finally, the class-level feature enhancement method is proposed. Through the intra-class supervised contrastive learning strategy, the aggregation of disease-specific features is enhanced, further improving the discriminative ability and robustness of the algorithm. Experimental results on the CXR dataset demonstrate that the proposed algorithm outperforms state-of-the-art algorithms, verifying its effectiveness in multi-label chest disease classification
Twenty years in the making. The past, present, and future of podcasting
No full textThis paper will explore the development of podcasting as a malleable medium that has been constantly changing. Podcasting emerged as a solution to moving recorded audio files. Producers adopted it as a space that presented itself as a democratic environment that was not subject to the same commercial or regulator pressures of traditional radio. It embraced the ideals of blogging, and whilst it existed as an audio medium, it was free of the constraints and conventions of radio
Trolling or 'Banter': How the normalisation of technology-facilitated violence can dehumanise the (un)deserving victim
No full textTrolling is a complex and contested form of technology-facilitated violence disproportionately targeting women (UN Women, 2023; Lumsden & Morgan, 2018). This chapter critiques the UK legal definition of trolling using empirical studies whilst considering the ability of media narratives in silencing victims, in their experience of harm (Lumsden, 2017). It explores how trolling, often masked as humour (Chen, 2019), is normalised within online spaces, contributing to cycles of gendered violence and underreporting. The chapter also examines the role of platforms like Tattle.Life in determining victim ‘deservingness’ and the challenges posed by trolling to legislation such as the Online Safety Act 2023 (Doyle, 2025). Ultimately, it argues that online rape culture, online commentary culture, and trolling masked as ‘banter’ have become a normalised attribute to technology-facilitated violence(s)
