Publications by authors named "D M O'Sullivan"

A three-sectioned, bidirectionally coupled, tunable, optical comb source is presented. The photonic integrated circuit (PIC) consists of a gain section, a slotted mirror section and a Fabry-Perot (FP) section. Optical frequency combs (OFCs) are produced by gain switching the FP section via a high power radio frequency (RF) signal.

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Artificial intelligence (AI) is revolutionizing healthcare by offering innovative solutions for diagnosis, treatment, and patient management. Only recently has the field of pediatric cardiology begun to explore the use of deep learning methods to analyze electrocardiogram (ECG) data, aiming to enhance diagnostic accuracy, expedite workflows, and improve patient outcomes. This review examines the current state of AI-enhanced ECG interpretation in pediatric cardiology applications, drawing insights from adult AI-ECG research given the progress in this field.

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Aim: Henoch-Schönlein purpura (HSP) nephritis leads to end-stage renal disease (ESRD) in upto 3% of cases, necessitating kidney transplantation (KT). This study compared graft and patient survival outcomes between HSP and non-HSP KT recipients and identified factors associated with HSP recurrence.

Methods: Data from the Scientific Registry of Transplant Recipients (SRTR) were analysed for adult and paediatric KT patients listed between January 2005 and April 2021.

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The analysis of social networks enables the understanding of social interactions, polarization of ideas and the spread of information, and therefore plays an important role in society. We use Twitter data-as it is a popular venue for the expression of opinion and dissemination of information-to identify opposing sides of a debate and, importantly, to observe how information spreads between these groups in our current polarized climate. To achieve this, we collected over 688 000 tweets from the Irish Abortion Referendum of 2018 to build a conversation network from users' mentions with sentiment-based homophily.

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Background: Nucleic acid amplification tests (NAATs) assist in the diagnosis of numerous infectious diseases. They are typically sensitive and specific and can be quickly developed and adapted. Far more challenging is the development of standards to ensure NAATs are performing within specification; reference materials take time to develop and suitable reference measurement procedures (RMPs) have not been available.

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