13463 research outputs found
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World Café on addressing bullying behaviour summary report on consultation with students
Full text linkDCU Anti-Bullying Centre held a World Cafe-style workshop at the Helix in DCU in Co. Dublin on Tuesday, November 12th, 2024 on the current issues facing young people. The purpose of this meeting was to discuss four broad areas to inform DCU Anti-Bullying Centre’s research on bullying, which were
Online, Home, Schools and Promoting Kindness
Statistical models for the utilization process of aviation radio equipment.
No full textThe reliability of aviation equipment is a critical factor that directly influences the efficiency of tasks associated with flight operations. To assess reliability, various indicators are commonly employed, including mean time between failures, mean time between repairs, steady-state availability, availability function, downtime ratio, and utilization factor. However, in modern aviation, the operation of radio equipment often
neglects considerations of economic impact, socio-political factors, and a comprehensive analysis of the efficiency of all components within the civil aviation infrastructure. Reliability indicators are typically stochastic
in nature, necessitating the development of statistical models, the application of advanced statistical data processing methods, and the enhancement of decision-making technologies, including those leveraging artificial intelligence. External influences, operational conditions, degradation of electrical components, and instability
in both autonomous and external power supplies often result in nonstationary trends across the range of parameters being monitored. These dynamic changes highlight the need for advancements in traditional data processing methods, particularly in areas such as dataset formation, classification, evaluation, and forecasting. This article focuses on the development of statistical models for the downtime ratio and utilization factor, specifically addressing scenarios characterized by nonstationary trends in diagnostic parameters
Interpersonal Interactions in the Workplace: Understanding and Addressing Incivility
No full textWorkplace incivility refers to subtle deviant behaviors characterized by rudeness and lack of professionalism that violate the norms of respect. Although not as egregious and explicit as bullying and aggression, these seemingly minor actions can gradually build up, resulting in compromised employee well-being and a decline in productivity in the workplace. This chapter provides a comprehensive view of the existing incivility literature and discusses how minor rude workplace behaviors can escalate into coercive actions. Finally, the chapter outlines ways that can assist organizations in preventing the escalation of incivilit
MemoriEase 3.0: A RAG-Enhanced Conversational Lifelog Retrieval System at LSC’25
No full textWe present the third version of the MemoriEase lifelog retrieval
system. This system is a conversational lifelog retrieval system built
on an embedding-based retrieval method. For LSC’25, we enhance
our system with a RAG approach to the question-answering task.
In addition, we also incorporate two embedding models, CLIP and
BLIP2, for the embedding-based retrieval. We improve our relevance feedback for visual similarity search by adjusting the query
embedding. We describe the results of our system at the LSC’25
challenge, where it achieved third place overall and second place
in the QA task. The enhancements in this version of the system
improve our performance in the LSC’25 challenge
Why Elections Prompt More Corruption, Clientelism, and Forbearance? A Study of Attitudes in Albania, Kosovo, and North Macedonia
No full textCorruption is often de ned as the abuse of public functions for private
gain, but research has expanded this view to include clientelism and forbearance, particularly in neo-patrimonial contexts. While forbearance has been widely studied, it remains largely unexplored in Southeastern Europe, where corruption is often oversimplied. This article innovatively combines forbearance, electoral corruption, and clientelism to analyse tax authorities’ behaviour during election periods in three Western Balkan countries. Findings suggest that due to sta politicisation and various other motives, tax authorities adjust their actions around elections, aligning
with forbearance and electoral clientelism. This behaviour fosters tax evasion and market distortions, highlighting the need for a more in-depth investigation into these dynamics in the region
Considerations on user identity within metaverse environments
No full textThe metaverse concept presents an immersive three-dimensional
space for interpersonal connections, where people can socialize,
learn, do business, and complete other activities. It is a digital system
with its own economy, technological properties, and sensory and
behavioral domains. While discourses often focus on the technological
and economic feasibility of the metaverse, less is said about the
implications for human identity. Identity in the metaverse is an
amalgam of self-representation, branding, and behaviors, but is also
dependent on technological features. This paper analyzes user
identity in terms of behaviors and personal data collection and
possible misuse. As such, it highlights technological, ethical, and
psychological dilemmas and potential solutions before the realization
of the metaverse or similar interoperable virtual networks. Specifically,
we discuss questions regarding the representation of human
identities, the collection and reuse of personal data, and the use of AI
models for customizing user experiences. Based on our assessment of
these, we propose a legal and ethical foundation for users and
developers of the metaverse. Rather than averting future
developments in technologies and use practices, our objective is to
highlight elements where the protection of users and their
experiences requires particular attention
Implementation of Evidence-Based Programmes and Practices (EBPs) in School Completion Programme
No full textThis report details the evaluation of the implementation of evidence-based (EBP) programmes and practices in the School
Completion Programme (SCP), currently consisting of 121 projects. Evidence-based practice (EBP) is practice that is based on
decision-making that has been evidenced in rigorously conducted research to be the most effective in achieving the intended outcomes for the populations we work with. In this report, the term EBP will be used
to refer to more specific programmes and approaches (or ‘practices’ as they are referred to in the SCP CPD Programme), which are
structured, often manualised, and likely to require training to implement. The ultimate aim of integrating these EBPs in practice is to remove ‘subjective opinion, unfounded beliefs, or bias from decisions and actions
in organisations in order to achieve the goals of the organisation’ (Oxford Review, Definition of Evidence-based Practice, para.3), thus overall creating an evidence-informed approach in the work of an organisation. The evaluation of the suite of EBPs, including EBPs which currently form the Elective Continuous Professional Development (CPD) programme for School Completion Programme (SCP), was initiated by Tusla
Education Support Service (TESS). The purpose of this evaluation was to measure the impact of significant investment in training and implementation of EBPs in SCP since 2016 and to inform future direction of CPD for SCP staff
Grouping by Ability in Youth Sport: Streaming in Gaelic Games
No full textFollowing the introduction of formal competition structures, youth sport often features ability grouping, referred to as streaming, for training and competition. In Gaelic games, a set of participatory sports indigenous to Ireland, streaming is commonly used to organise players. Despite its prevalence, streaming in sport has been under-researched. This study explored the experiences and perceptions of players (n=42), parents (n=24) and coaches (n=19) across five Gaelic games clubs. Semi-structured interviews indicated that streaming was largely perceived as an adaptive feature, offering benefits related to teamship and appropriate challenge across ability levels. However, participants highlighted systemic difficulties such as resource allocation and a lack of flexibility. Additionally, while streaming generally supported players’ motivations, it was perceived to be less effective for female players in lower ability groups. We conclude with the suggestion that the implementation of streaming requires deliberate planning, flexibility and additional support for coaches aiming to navigate the complexity of athlete grouping
Through Someone Else's Eyes: Lifelogging Meets Narrative Virtual Reality
No full textThis paper presents a novel approach to lifelogging by transforming it into a narrative-driven Virtual Reality (VR) experience that we call SLIVeR (Someone else’s Lifelog in Virtual Reality). The system situates users in an immersive, emotionally charged environment where they explore lifelog video fragments as part of a memory recovery narrative. Users begin disoriented, responding to existential prompts such as ‘Who am I?’ and ‘What was the last thing I did?’ — each unlocking cinematic scenes that reconstruct a car accident central to the character’s identity loss. The experience transitions into a metaphorical space representing the fragmented mind, where users interact with floating lifelog questions organised by theme (e.g., relationships, movement, work). These interactions simulate a lifelog search interface embedded within a story arc, encouraging reflection and engagement. To evaluate SLIVeR, we conducted a mixed-methods study with 30 participants, analysing engagement using the User Engagement Scale (UES) and thematic reflection questions. Results showed that narrative coherence, visual interactivity, and identity-driven content enhanced user engagement. Social and emotionally resonant question types were rated as more meaningful than routine-based ones. This work demonstrates how VR, narrative framing, and lifelog data can be fused into a reflective, game-like experience that deepens both interaction and emotional connection
Innovative Self-Powered Sensing: Potential of Fabrigami andElectrospun Nanofiber-Based Triboelectric Nanogeneratorfor Joint Biomechanics Monitoring
Full text linkThis work presents a high-performance, self-powered triboelectric nanogenerator (TENG) embedded into an origami-inspired fabric (“fabrigami”) structure for real-time joint biomechanics monitoring. The device consists of electrospun polyvinylidene fluoride (PVDF) as the electronegative layer and silver-doped cellulose acetate (Ag-CA) as the electropositive layer, with enhanced surface charge density and mechanical durability. The fabrigami architecture amplifies contactseparation dynamics, enabling efficient detection of movements during joint motion while preserving conformability and air permeability. The optimized TENG based on 1.5% Ag in CA against PVDF exhibits remarkable electrical output characteristics, including an open-circuit voltage of 155.9 V, short-circuit current density of 8.134 mA m−2, and transferred charge density of 65.62 µC m-, with an instantaneous peak power density of 0.029 W m−2 achieved through an 11 MΩ external load resistance. The power conversion efficiency is 4.6–92.8% for 100–5 µm elastic compression of electrospun samples under 10 N, 2 Hz actuation. Sensor stability is observed over 15 000 cycles. The fabrigami knee sleeve includes a Bluetooth-enabled microcontroller transmitting real-time motion data wirelessly to measure joint angles and distinguish movement activities. This work demonstrates a novel strategy combining material innovation (Ag-CA nanofibers) with structural configurability to create a breathable and power-autonomous smart textile