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Mapping the intellectual landscape of educational psychology: Citation rankings and network structures of 60 journals, scholars, and institutions
Full text linkUnderstanding how influence is structured within educational psychology is critical for advancing research quality, equity, and impact. We introduce a replicable, field-sensitive framework that combines (a) the Educational Psychology H-index (EP-H), which isolates within-field impact, and (b) a cross-citation network mapping journals and subfields. Using 27,482 articles from 60 Web of Science educational-psychology journals (2015–2024), we rank researchers, institutions, countries, and journals, examine convergent validity with established metrics, and identify thematic clusters centered on motivation, learning strategies, emotions, and cognition. Results reveal concentrated influence alongside meaningful international contributions. Leading journals include Journal of Educational Psychology and Educational Psychology Review, with Learning and Individual Differences showing strong connectivity across cognitive, emotional, and motivational subfields. The approach clarifies how citation volume and structural position jointly influence visibility, provides transparent tools for editors and institutions, and can be adapted to other disciplines where disciplinary context is relevant. Educational relevance and implications: This study provides editors, institutions, and researchers with a clear understanding of who and what influences educational psychology. Using a field-specific Educational Psychology H-index (EP-H) and a cross-citation network, we identify journals that connect subfields and scholars who are most visible within the discipline. These tools help early-career scholars select venues and assist departments in evaluating contributions in core areas of educational psychology. The approach is transparent, replicable, and adaptable to related areas of education research
Sovereign Debt Pricing with Shifting Long-Run Growth Expectations
Full text linkThe paper presents new evidence of systematic patterns in real-time estimates of long-run output growth rates and, importantly, reveals a negative, nonlinear relationship between these estimates and sovereign debt spreads during the Eurozone debt crisis of the 2010s. To study the implications of these beliefs, we develop a sovereign default model in which agents infer trend growth from aggregate output and from noisy signals about the trend. The model reproduces these empirical patterns in the trend growth estimates and their negative and nonlinear relationship with spreads, unlike a comparable full-information model. Overoptimism about trend growth during booms encourages excessive borrowing, leading to persistently elevated spreads thereafter
Energy-Efficient and Reliable Task Mapping and Offloading for Multicore Edge Devices with DVFS
Get PDFMulticore platforms based on NoC are promising architectures for safety-critical applications. Application execution performance is determined by task mapping, with reliable execution, real-time response, and energy efficiency as requirements. We can perform task duplication, DVFS, and multipath routing to meet these requirements during task mapping. Furthermore, the computation platforms have limited computation capacity and energy supply in several application domains. Some complex tasks can be offloaded from the edge device to the cloud for execution. However, such task offloading influences task mapping on the edge device. Existing approaches seldom consider the correlation of task offloading to the cloud and task mapping on the edge device. To address this limitation, we jointly consider task mapping inside the NoC-based multicore edge device and task offloading to the cloud to optimize energy consumption while satisfying reliability and real-time constraints. This problem is formulated as a mixed-integer nonlinear programming and linearized to find the optimal solution. We propose a novel three-step heuristic with a feedback mechanism to enhance task schedulability and reduce computation time. We evaluate the behavior of our approaches through exhaustive simulations. The results show that our approaches outperform existing methods in terms of energy efficiency, task reliability, and schedulability
The Effect of Playing Career on Chronic Neurophysiologic Changes in Retired Male Football Players: An Exploratory Study Using Transcranial Magnetic Stimulation
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Purpose:
Repetitive head impact exposure, from contact and collision sports, are increasingly being attributed to increased risk of neurodegenerative disease in aging athletes. This exploratory study investigated the association of playing career in retired professional contact sport athletes with cortical neurophysiology via transcranial magnetic stimulation (TMS).
Methods:
This study used a cross-correlation design without a control group. Male athletes between the ages of 28 and 68 years (
n
= 113; mean age [SD] 48.8 [9.7]) who had been retired from professional sport for a minimum of 5 years were recruited. Cortical excitability was measured using single pulse TMS for motor evoked potentials and paired pulse for short-interval intracortical inhibition and long-interval intracortical inhibition. Associations were assessed between TMS measures and concussion history, clinical symptom scores, total career length (including junior to complete retirement), and professional career length (elite competition only).
Results:
Correlations showed significant associations between motor evoked potentials and clinical symptom reporting (
rho
: −0.21 to −0.38;
P
< 0.01) and motor evoked potentials and short-interval intracortical inhibition with total career length (
rho
: 0.26 to −0.33;
P
< 0.01). No significant correlations were observed between single and paired-pulse TMS and professional career length (
rho
: 0.16 to −0.15), nor the number of concussions (
rho
: 0.17 to −0.17).
Conclusions:
This exploratory study is the first to report pathophysiologic outcomes in a cohort of retired professional athletes associated with total career exposure, rather than professional career exposure or concussion history. Without a control group comparison and cross-correlational design, these preliminary results should be viewed with caution; however, TMS assessment could be considered a viable biomarker in future studies of retired athletes classified with traumatic encephalopathy syndrome.
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Ensemble Deep Learning Architectures for Detecting Pulmonary Tuberculosis in Chest X-rays
Full text linkTuberculosis (TB) remains a major global health challenge, causing approximately 1.4 million deaths annually. In many high-burden regions, limited access to expert radiological interpretation leads to delayed or missed diagnoses. To address this, we propose a cost-effective, automated TB screening method suitable for under-resourced settings. Our method integrates a Convolutional Autoencoder Neural Network and a Multi-Scale Convolutional Neural Network with deep layer aggregation into an ensemble learning architecture for robust TB detection from chest radiographs. The framework was evaluated on two public datasets and one private dataset, achieving 99% sensitivity and 94% specificity on the Shenzhen dataset, and consistently high accuracy across all datasets. Expert radiologists reviewed a subset of the predictions, confirming the clinical relevance and diagnostic reliability of the model. The ensemble approach demonstrated strong generalisability, effectively identifying active pulmonary TB in chest X-rays from a globally representative cohort. It also outperformed existing classifiers, achieving a state-of-the-art Area Under the Receiver Operating Characteristic of 0.98. These results highlight the potential of our approach as a practical and scalable tool for TB screening, particularly in low- and middle-income countries where radiological resources are limited
A Study on Multi-Level Paradox of Sustainable HRM: A Comparative Case Study in Malaysia’s Private Higher Education & Hospitality Sectors
Full text linkSustainable human resource management (HRM) is increasingly central to corporate sustainability, yet its implementation is marked by persistent tensions between competing objectives — profitability vs. employee well-being, short-term imperatives vs. long-term societal goals. This thesis applies paradox theory to examine how such tensions manifest as multi-level paradoxes and how they are navigated in practice. Focusing on two Malaysian service sectors — private higher education and hospitality — the research addresses a gap in understanding the nested and systemic nature of sustainable HRM paradoxes. Rather than treating these challenges as isolated dilemmas, the study demonstrates that contradictions span institutional policies, organizational strategies, HRM practices, and individual values, forming interconnected webs of tension.
A qualitative comparative case study design was adopted, analysing a leading private university and a prominent hotel. Data were collected through 36 semi-structured interviews across 4 hierarchical levels, complemented by observations and documents. This approach enabled a rich, multi-perspective account of sustainability tensions. Thematic analysis and cross-case comparison identified paradoxes at macro, corporate, functional (HRM), and individual levels, and traced their interdependencies. The findings reveal that macro-level tensions (e.g. national sustainability mandates vs. market imperatives) cascade into organizational paradoxes (e.g. strategic ambitions vs. operational constraints), which then materialize in HRM dilemmas (e.g. progressive initiatives vs. cost-driven policies), and finally, in employees’ daily struggles (e.g. personal sustainability values vs. work demands). These tensions are both horizontally misaligned within levels and vertically nested across levels, amplifying their complexity.
The cross-sector comparison highlights contextual influences. In private higher education, paradoxes centre on balancing educational and social missions with financial self-sufficiency, where academic quality and sustainability commitments often collide with enrolment targets and ranking pressures. In hospitality, tensions emerge between luxury service standards and resource-intensive operations, versus environmental conservation and workforce sustainability in a labour-intensive industry. Both cases underscore that while the paradox of “sustainability vs. performance” is common, its manifestation is exclusive and sector contingent.
The study also identifies strategies of paradox navigation. Leaders, HR professionals, and employees engaged in temporal separation, structural separation, and selective prioritisation. More integrative efforts included: sustainability committees, revised HR policies aligning incentives with sustainability goals, and cultural initiatives fostering innovation. Nonetheless, integrative solutions were difficult to sustain, often undermined by counteracting forces at other levels. Successful navigation depended on fostering a paradox mindset — accepting contradictions as enduring and seeking ways to engage both poles, rather than resolve them outright.
Overall, this study reframes sustainable HRM challenges through a paradox lens. By documenting the nested, multi-level nature of paradoxes and the varied strategies used to navigate them, it contributes to paradox theory, sustainable HRM, and the practice of managing sustainability in organizations. The study underscores that sustainability cannot be achieved by resolving tensions but by embracing paradox — recognising contradictions as enduring features of organizational life and working with them as a source of resilience, innovation, and long-term sustainability
Cultural crossings: Irish, Caribbean and the Harlem connections – an exploration of theatre, text, and visual art
Full text linkThis thesis examines the cultural intersections between Ireland, the Caribbean, and Harlem through an exploration of theatre, literature, and visual art. This thesis investigates the relationship between the Irish Literary Renaissance and the Harlem Renaissance to assess the extent of their transatlantic connections and the ways in which both movements sought to reshape cultural and national identity through artistic expression. This study addresses gaps in Harlem Renaissance scholarship, particularly the underrepresentation of the Caribbean writers and intellectuals as key participants in the cultural movement. This research examines the efforts of writers, artists and political groups who challenged harmful stereotypes of Irish and African American people, highlighting the different approaches that were taken to reclaim identity and representation. Through an analysis of key texts and art, this thesis identifies the cultural crossings between these movements. The Abbey Theatre’s 1911 tour of the United States, Eugene O’Neill’s 1920 play The Emperor Jones, and the issues of the Survey Graphic that focus on Ireland and Harlem serve as focal points. The contributions of Caribbean writers Claude McKay and Eric Walrond are also evaluated to emphasise how their migrant backgrounds shape their literary portrayals of Black and Caribbean identities in the novel Home to Harlem and the short story collection, Tropic Death. Through investigating these cultural dialogues, this research expands discussions on resistance, and identity formation. It underscores the power of literature, theatre, and art in shaping historical narratives and encourages further exploration of transatlantic and global artistic movements, particularly in the context of ongoing struggles for representation and self-determination
Estimation of the parameters of q-Gaussian distributions in the standard map
Full text linkWe present a novel methodology for estimating the parameters of the q-Gaussian distribution within the framework of non-extensive statistical mechanics, applied to the standard map (Chirikov-Taylor map) across its chaotic, regular, and integrable regimes. Our approach combines a genetic algorithm with multi-objective optimization, simultaneously minimizing the discrepancy between the numerical probability density function (PDF) and the q-Gaussian while enforcing normalization to unit area. This framework yields highly accurate parameter estimates, revealing optimal q and b values that provide an exceptional fit to the numerical PDFs. Notably, the estimated q values differ from previous reports, highlighting the sensitivity of parameter inference to fitting methodology. For the integrable case (K=0), we uncover a striking asymptotic scaling law: q approaches its theoretical value of 2 extremely slowly with iteration number, following a power-law trend that implies an extraordinarily large number of iterations are required for convergence. Overall, our results demonstrate that the proposed method robustly captures the statistical properties of the standard map across different dynamical regimes and suggest its potential for broader applications to other deterministic dynamical systems, offering new insights into the emergence of non-extensive statistical behavior
Applying Control-Value Theory for Examining Multiple Emotions in Second Language Classrooms: Validating the Achievement Emotions Questionnaire-Second Language Learning
Full text linkThis study used Pekrun’s (2006, 2018) control-value theory (CVT) as a framework to validate the Achievement Emotion Questionnaire-Second Language Learning (AEQ-L2L) for assessing eight student emotions in L2 learning. We tested and validated the instrument in two samples using three waves of data, with a total number of 1,021 Chinese university students. Item and scale statistics indicate the AEQ-L2L is reliable. Moreover, single- and multi-group confirmatory factor analysis supported the hierarchical four-factor component structure of L2 emotions in and across the two student groups. Furthermore, multi-model comparison indicated that language emotions are best represented by considering both the distinctiveness of the eight examined emotions and their component structure. Finally, latent correlation analysis demonstrated the external validity of the AEQ-L2L in terms of linkages with appraisals, motivation and language achievement. Findings are discussed by highlighting the unique value of the AEQ-L2L for investigating a broad range of emotions in language education
The Crimes of Others: Criminal Records, Publicity, and Crimes of Abuse
Full text linkDo we have a right to know about each other’s criminal past? And if so, just how publicly accessible should criminal records be? Does publicity serve an important purpose in fulfilling the public’s right to know about who amongst their fellow citizens is dangerous or has violated collective moral norms? Does it provide transparency in criminal justice, the just punishment of the guilty, and the protection of the vulnerable from serial perpetrators? Or does it stigmatize people as dangerous or untrustworthy for life, so that those who have made mistakes in the past are still paying for them long after they have served their time? And how should we design our laws and policies to reconcile or balance these apparently competing demands of (criminal) justice? This book draws on philosophical and legal theory as well as new empirical evidence about the impacts of criminal records to address these questions. It argues that there is no general right of citizens to know about each other’s criminal past. But disclosures of criminal records to prevent harm are often justified when the risk relates to predatory crimes and crimes of abuse. The reasons relate to the distinctive features of such crimes, in particular their serial nature, the widespread impunity with which they are committed, and the special role of secrecy, lies, and silencing in their perpetration. The analysis provides the intellectual groundwork for fairer and more effective policies and practices for the management of criminal records in a digital age