CORA
Cork Open Research Archive (CORA) is UCC’s Open Access institutional repository which enables UCC researchers to make their research outputs freely available and accessible.
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Recent Submissions
Figurative invisibility and paradigmatic blindness in sustainable development discourse
(Springer Nature, 2026-04-14) Skillington, Tracey; Toivanen, Reetta; Vladimirova, Vladislava; Ojala, Carl-Gösta; Taighde Éireann - Research Ireland
If recent climate-related crisis events tell us anything it is that the ecological problematic of our time cannot be understood as separate from the ongoing problems of imperialism, colonial oppression and marginalisation. This chapter focuses on the example of wildfire devastation in the Arctic to illustrate how imperial legacies are consolidated, rather than undermined, through sustainable development discourse and policy practice. It also examines how a non-recognition of the lived experiences and knowledge perspectives of Indigenous communities in the Arctic is enacted socially, culturally, politically and legally in ways that undermine prospects for a genuinely inclusive model of collective learning to proceed. It then considers proposals for a deliberative process that addresses these issues and allows an exploration of wrongdoing to emerge from within more situated perspectives on sustainable futures.
Advanced scheduling strategies for distributed quantum computing jobs
(Elsevier B.V., 2026-10-01) Ni, Gongyu; Ferrari, Davide; Ho, Lester; Amoretti, Michele; European Union's Horizon Europe; Taighde Éireann - Research Ireland
Distributed quantum computing (DQC) is being actively investigated as a means of scaling the number of qubits across multiple connected quantum devices. This includes quantum circuit compilation and execution management on multiple quantum devices in the network. The latter aspect is very challenging because, while reducing the makespan of job batches remains a relevant objective, novel quantum-specific constraints must be considered, including QPU utilization, non-local gate rate, and the latency associated with queued DQC jobs. In this work, a range of scheduling strategies is proposed, simulated, and evaluated, including heuristics that prioritize resource maximization for QPU utilization, node selection based on heterogeneous network connectivity, asynchronous node release upon job completion, and a scheduling strategy based on reinforcement learning with proximal policy optimization. These approaches are benchmarked against traditional FIFO and LIST schedulers under varying DQC job types and network conditions for the allocation of DQC jobs to devices within a network.
Relative impact of family processes and child and systemic factors on behavioral and academic outcomes for autistic children in mainstream education
(Springer, 2026-09-03) Fitzgerald, Billy; McCusker, Christopher; Dempsey, Maria; Galvin, Audrey Dunn
Purpose: This study uses data from the first wave of a longitudinal study, guided by the bioecological model of human development (Bronfenbrenner, 2005), to examine multilevel influences on the behavioral and academic outcomes for autistic children (AC) in mainstream education. It aimed to (1) profile family processes and behavioral and academic outcomes for AC and (2) examine the relative contribution of family processes to child outcomes compared with child and other systemic factors (i.e., family structural factors and family satisfaction with family–professional relationships). Methods: Caregivers (n = 117) of AC in mainstream education (68% male, 4 to 12 years) completed measures of family processes (i.e., parenting stress, parent mental health problems, marital satisfaction, family cohesion, and family conflict), child characteristics (i.e., age, gender, autistic traits, comorbidity status, and sleep quality), family structural factors (i.e., household income, caregiver education, family composition, etc.) and satisfaction with the family’s relationships with healthcare and educational professionals. Caregivers also completed the Strengths and Difficulties Questionnaire and ratings of academic performance for AC. Exploratory bivariate analyses followed by hierarchical regressions were conducted to examine the unique and combined effects of family processes in relation to child and systemic factors. Results and Conclusion: Caregiver and parenting-related stress and child sleep quality predicted behavior problems in AC; however, collectively, family processes accounted for more of the variance. Child competence-related outcomes were predicted by child characteristics only, meaning that prosocial behavior was predicted by autistic traits and academic performance was predicted by a comorbid diagnosis. Implications for research and practice are discussed.
UCC Library Annual Report 2024
(University College Cork, 2026-09-11) Schwamm, Hardy
UCC Library Annual Report 2025
(University College Cork, 2026-09-11) Schwamm, Hardy