Physical Sciences and Mathematics Commons^™

Exploring The Design Of Low-End Technology To Increase Patient Connectivity To Electronic Health Records, Rens Kievit, Abdullahi Abubakar Kawu, Mirjam Van Reisen, Dympna O'Sullivan, Lucy Hederman

Conference papers

The tracking of the vitals of patients with long term health problems is essential for clinicians to determine proper care. Using Patient Generated Health Data (PGHD) communicated remotely allows patients to be monitored without requiring frequent hospital visits. Issues might arise when the communication of data digitally is difficult or impossible due to a lack of access to internet or a low level of digital literacy as is the case in many African countries. The VODAN-Africa project (van Reisen et al., 2021) started in 2020 and has greatly increased the capabilities of clinics in different countries in both Africa and …

Modelling Hoe Performance With An Extended Source; Experimental Investigation Using Misaligned Point Sources, Jorge Lasarte, Kevin Murphy, Izabela Naydenova, Maria Victoria Collados, Jesús Atencia, Suzanne Martin

Articles

Holographic optical elements (HOEs) have the potential to enable more compact, versatile, and lightweight optical designs, but many challenges remain. Volume HOEs have the advantage of high diffraction efficiency, but they present both chromatic selectivity and chromatic dispersion, which impact their use with wide spectrum light sources. Single-color light emitting diode (LED) sources have a narrow spectrum that reduces these issues and this makes them better suited for use with volume HOEs. However, the LED source size must be taken into consideration for compact volume HOE-LED systems. To investigate the design limits for compact HOE-LED systems, a theoretical and experimental …

Forecasting Foreign Tourist Arrivals In India: A Strategic Analysis For Sustainable Religious Tourism Growth, Vishwajeet Singh, Dr. Taruna, Tarushree Bari, Subhash Kumar Yadav

International Journal of Religious Tourism and Pilgrimage

The exponential growth of the tourism industry in India significantly impacts the nation’s economic landscape. This study presents an analysis of tourism arrival trends from 2000 to 2019 to forecast foreign tourist arrivals, aligning with the broader scope of religious tourism and pilgrimage. Employing the Box-Jenkins methodology, the research aims to project short-term forecasts for inbound tourism. Diverse modelling techniques are explored to capture the nuances of the time series data, including the assessment of stationarity using the Dickey-Fuller Test to discern underlying trends. The study culminates in identifying the A.R.I.M.A (0, 1, 1) model with drift as the most …

Building Societal Resilience Against Child Grooming Using Digital Technologies: The Solution Design, Christina Thorpe, Armin Shams, Matt Bowden

Conference Papers

Extended Abstract

Child grooming is when someone builds a relationship, trust and emotional connection with a child so they can manipulate, exploit and abuse them, therefore building societal resilience against it is of prime importance1. Although progress has been made, it is among the yet unresolved challenges in Ireland (the focus of research). With direct SFI2 training support and using Theory of Change and Design Science as the methods for research and innovation, we have done extensive stakeholder analysis, and we keep doing it further such that a solution is evolved in order to create societal resilience against child grooming, …

An Evaluation Of Features Extracted From Facial Images In The Context Of Binary Age Classification, Malik Awais Khan, Aurelia Power, Peter Corcoran, Christina Thorpe

Conference Papers

Age verification via facial images is used to enhance security, ensure online child safety, and manage access control with many approaches using classification models. However, many existing classification approaches face generalisation challenges due to homogenous racial nature of datasets. Moreover, many approaches fail to explicitly address the predictive potential of extracted facial features. To address the lack of racial diversity we selected representative samples from four different benchmark datasets: UTK-Face, Fg-Net, Morph and All-Age-Faces. Subsequently, we examined the predictive potential of local, global and hybrid sets of facial features. We extracted local features using two types of Local Binary Pattern …

Analysis Of Macular Pigment Carotenoids In Human Blood Serum Of Glaucoma Patients As A Measure Of Ocular Health: A Raman Spectroscopic Study., Joy Udensi, Ekaterina Loskutova, James Loughman, Hugh J. Byrne

Datasets

Carotenoids are a major component of the human diet and have been widely studied for their antioxidant, and vision protection roles in the human body, and dietary supplementation is promoted in particular for ocular health. An initial trial (European Nutrition in Glaucoma Management (ENIGMA)), which assessed macular pigment optical density (MPOD) as well as ocular structural, functional and perceptual parameters before and after the 18-month supplementation of glaucoma patients with macular pigment (MP) carotenoids (lutein, zeaxanthin, meso-zeaxanthin), confirmed supplementation significantly improved the clinical ocular health of participants. Blood contains all major dietary carotenoids, presenting it as a suitable and efficient …

Generalised Zero-Shot Learning For Action Recognition Fusing Text And Image Gans, Kaiqiang Huang, Susan Mckeever, Luis Miralles-Pechuán

Articles

Generalized Zero-Shot Action Recognition (GZSAR) is geared towards recognizing classes that the model has not been trained on, while still maintaining robust performance on the familiar, trained classes. This approach mitigates the need for an extensive amount of labeled training data and enhances the efficient utilization of available datasets. The main contribution of this paper is a novel approach for GZSAR that combines the power of two Generative Adversarial Networks (GANs). One GAN is responsible for generating embeddings from visual representations, while the other GAN focuses on generating embeddings from textual representations. These generated embeddings are fused, with the selection …

Neural Correlates Of Audiovisual Narrative Speech Perception In Children And Adults On The Autism Spectrum: A Functional Magnetic Resonance Imaging Study, Lars A. Ross, Sophie Molholm, John S. Butler, Victor A. Del Bene, Tufikameni Brima, John J. Foxe

Articles

Autistic individuals show substantially reduced benefit from observing visual articulations during audiovisual speech perception, a multisensory integration deficit that is particularly relevant to social communication. This has mostly been studied using simple syllabic or word-level stimuli and it remains unclear how altered lower-level multisensory integration translates to the processing of more complex natural multisensory stimulus environments in autism. Here, functional neuroimaging was used to examine neural correlates of audiovisual gain (AV-gain) in 41 autistic individuals to those of 41 age-matched non-autistic controls when presented with a complex audiovisual narrative. Participants were presented with continuous narration of a story in auditory-alone, …

How Can A Cloud Computing It Framework Be Created And Applied Effectively In The Online Printing Industry?, Stefan Meissner

Dissertations

This research aims to design a cloud computing IT framework for the online printing industry based on a detailed literature review, the development of proof of concepts (PoC), and the conduction of a focus group. The framework can be adopted by the online printing industry or by vendors of print-specific applications to optimize their products for the online printing industry. The author has been working in the online printing process optimization and automation since 2007. During this time, he got deep insight into many industry-specific applications, their architectural design, and their challenges being used in the context of online printing. …

An Image Processing Approach For Real-Time Safety Assessment Of Autonomous Drone Delivery, Assem A. Abdelhak, Dan Moss, Alan Hicks, Susan Mckeever

Articles

The aim of producing self-driving drones has driven many researchers to automate various drone driving functions, such as take-off, navigation, and landing. However, despite the emergence of delivery as one of the most important uses of autonomous drones, there is still no automatic way to verify the safety of the delivery stage. One of the primary steps in the delivery operation is to ensure that the dropping zone is a safe area on arrival and during the dropping process. This paper proposes an image-processing-based classification approach for the delivery drone dropping process at a predefined destination. It employs live streaming …

Evaluating Road Environment Factors Impacting Cyclist Safety In Dublin City Using Geospatial Solutions, Niamh O' Reilly

Doctoral

Police Collision Reports (PCRs) are used as a measure of road safety but are subject to under reporting and biased to collisions involving motorised vehicles or serious injury outcomes. Understanding the extent and nature of cycling safety and how the road environment contributes to these requires detailed quality data on cyclist collisions. Hospital records, insurance claim records and travel diaries are frequently used to supplement these but provide little or no information about the road environment, particularly its location. This research investigates how effective alternative georeferenced bicycle safety data sources examined through a geospatial lens can address road safety issues …

Synthesis And Characterisation Of Molecularly Imprinted Polymers On Functionalised Silica Gel Designed For The Selective Extraction And Detection Of Nitroaromatic Compounds Coupled With Colorimetric Methods, Raymond Tang

Masters

HPLC and LC-MS are analytical instruments used to detect the trace explosives, however, the instrumental methods are expensive and require specially trained operators to prepare the samples and interpret the results, and these methods are not suitable for use in conflict zones. The overall aim is to deliver a method for the selective, sensitive and rapid detection of trace explosives in the field.

Disaggregating Longer-Term Trends From Seasonal Variations In Measured Pv System Performance, Chibuisi Chinasaokwu Okorieimoh, Brian Norton, Michael Conlon

Articles

Photovoltaic (PV) systems are widely adopted for renewable energy generation, but their performance is influenced by complex interactions between longer-term trends and seasonal variations. This study aims to remove these factors and provide valuable insights for optimising PV system operation. We employ comprehensive datasets of measured PV system performance over five years, focusing on identifying the distinct contributions of longer-term trends and seasonal effects. To achieve this, we develop a novel analytical framework that combines time series and statistical analytical techniques. By applying this framework to the extensive performance data, we successfully break down the overall PV system output into …

Zno Varistors—Preparation Of Nano And Micro Sized Powders By Mechanical Methods For Low And High Voltage Varistors, Maura Kelleher

Books/Book Chapters

ZnO-Bi2O3-Sb2O3 varistors are as essential today as they have been since their discovery five decades ago. Their role is to protect other electronic components against oncoming surges of electrons and survive. The demands on varistors are increasing. Electronic components are becoming smaller and more sensitive, and the metal oxides from which varistors are made are precious. Every aspect of their structure (macro, micro, nano and atomic) determines how they perform and survive. Each stage and variable within the powder metallurgy process is important. The mechanical methods in preparing nano and micro sized metal oxide powders are outlined in this chapter.

Signatures Of Time Interval Reproduction In The Human Electroencephalogram (Eeg), Harvey Mccone, John. S. Butler, Redmond. G. O'Connell

Articles

No abstract provided.

Probing A Neural Unreliability Account Of Auditory Sensory Processing Atypicalities In Rett Syndrome, Tufikameni Brima, Shlomit Beker, Kevin D. Prinsloo, John Butler, Aleksandra Djukic, Edward G. Freedman, Sophie Molholm, John J. Foxe

Articles

Background: In the search for objective tools to quantify neural function in Rett Syndrome (RTT), which are crucial in the evaluation of therapeutic efficacy in clinical trials, recordings of sensory-perceptual functioning using event-related potential (ERP) approaches have emerged as potentially powerful tools. Considerable work points to highly anomalous auditory evoked potentials (AEPs) in RTT. However, an assumption of the typical signal-averaging method used to derive these measures is “stationarity” of the underlying responses – i.e. neural responses to each input are highly stereotyped. An alternate possibility is that responses to repeated stimuli are highly variable in RTT. If so, this …

Hamiltonian Models For The Propagation Of Long Gravity Waves, Higher-Order Kdv-Type Equations And Integrability, Rossen Ivanov

Book chapter/book

A single incompressible, inviscid, irrotational fluid medium bounded above by a free surface is considered. The Hamiltonian of the system is expressed in terms of the so-called Dirichlet-Neumann operators. The equations for the surface waves are presented in Hamiltonian form. Specific scaling of the variables is selected which leads to a KdV approximation with higher order nonlinearities and dispersion (higher-order KdV-type equation, or HKdV). The HKdV is related to the known integrable PDEs with an explicit nonlinear and nonlocal transformation.

Spectroscopic Serology For The Quantitative Screening Of Carotenoid Compounds In Human Blood – Correlation With Clinical Macular Pigment Factors, Joy Udensi

Doctoral

Carotenoids represent a wide range of naturally occurring pigmented compounds with an obvious presence in many plants and some animals. They constitute an important component of the human diet and have been widely recognised for their antioxidant and vision protection advantages.

Body-Oriented Gesture Generation System For Medical Interpreter Robots Based On Reinforcement Learning From Human Feedback, Tung Ngo, Emma Murphy, Conor Mcginn, Robert Ross

Conference papers

Medical interpreters are crucial in facilitating communication between healthcare stakeholders who speak different languages. Body-oriented gestures convey critical information essential for accurate and high-quality interpretation in healthcare settings. This study introduces a body-oriented gesture generation system designed for medical interpreter robots based on reinforcement learning from human feedback (RLHF). The system allows robots to interpret more naturally and improve over time through interactions with humans. By adopting a human-centered development approach, we tailor our system to address the actual needs of healthcare stakeholders.

Novel Analog Holographic Wavefront Sensors In A Photopolymer Medium, Emma Branigan

Doctoral

Wavefront sensing is a vital technology that allows for recovery of information and image resolution, from otherwise corrupted signals. Combined with computational systems, wavefront sensors (WFS) enable rapid, accurate measurement of optical distortions, or aberrations. The analog holographic wavefront sensor (AHWFS) is a recent advancement that measures wavefront aberration modes using intensity ratios at paired diffraction spots. The modal AHWFS is an elegant solution to wavefront sensing that is low-cost, highly photon efficient, high speed, and insensitive to scintillation effects.

This work presents the first fabrication of an AHWFS in a self-developing acrylamide-based photopolymer for measuring defocus and spherical aberration. …

Balancing Quality Assurance & Innovation In Pharma, Emma Ramnarine

Level 3

At the Pharmaceutical Regulatory Science Team (PRST) workshop on ICH Q9(R1), held at the Technological University Dublin in early June 2023, Boehringer Ingelheim US Biopharma Operations Product Management & Development Operations Head Emma Ramnarine shared her insights on balancing quality assurance and innovation in pharmaceutical manufacturing. She addressed: ● patient-centered transformation ● a watershed moment in her career ● understanding the drug shortage problem ● disruptive collaboration, and ● systems thinking

approaches. Click here for the slides accompanying Ramnarine’s remarks. She connected some of her remarks for the pharmaceutical industry to those made in the previous talk by Ed Hoffman, …

Quality Reborn, Anders Vinther

Level 3

It is time for Quality leaders to not only fulfill the traditional role of ensuring cGMP compliance within the company but also take the Quality profession to the level of business leadership like Deming did in Japan after World War II. FDA has recently stated that they have low confidence in quality management maturity of the pharmaceutical industry.

For quality leaders to also become good business leaders we must educate them in ways that are different from what we currently do. The education should be in the 6 areas

• Visibly Demonstrating Responsibility of Quality
• Risk-Informed Decision Making and Communication
• Engaging …

Risk-Based Decision-Making – Using Knowledge Of Risk Throughout The Lifecycle, Michael Schousboe

Level 3

This article is based on a presentation given at the event ICH Q9(R1): The Next Frontier hosted by TU Dublin, Grangegorman 01-June-2023

An audience with international thought leaders exploring how the effective use of knowledge can enhance QRM outcomes to benefit the patient

Achieving Warranted Acceptance Of Biotechnologies, Emily Grayek, Baruch Fischhoff

Level 3

The U.S. has faced long-standing shortages of generic drugs, causing negative health effects and spikes in drug costs. To address these shortages, investments in critical technologies and policies to support their adoption will be needed. The success of these technologies and policies depends on public acceptance. We studied public acceptance using the mental model approach, which identifies gaps in understanding that can be addressed with communications. We began with semi-structured interviews with experts in pharmaceutical manufacturing. Based on these interviews, we developed and conducted surveys of the general public, physicians, and pharmacists. Similar strategies could be applied to improve communications …

Exploring The Role Of Knowledge In The Pharma Workplace Of The Future: An Interactive Workshop Exploring Culture, Km And Opex, Stephanie Friedrichsen, Nuala Calnan (Editor), Martin J. Lipa

Level 3

This article presents a summary of an interactive workshop facilitated by Nuala Calnan and Stephanie Friedrichsen during the conference: ‘ICH Q9(R1): The Next Frontier’ held in Technological University Dublin, Ireland, on 1 June 2023. The summary was prepared by the workshop facilitators in conjunction with Martin Lipa who was a participant at the workshop. The article is written to give a high-level overview of the discussions which took place during the workshop and is not intended to be a complete representation of all the activities, insights and findings.

Leveraging Advanced Analytics In The Pharmaceutical Industry, Patrick O'Sullivan

Level 3

This article is a transcribed and lightly edited version of Patrick O’Sullivan’s oral presentation to a seminar hosted on 1 June 2023 by the Pharmaceutical Regulatory Science Team (PRST), TU Dublin, titled ICH Q9(R1): The Next Frontier – An audience with international thought leaders exploring how the effective use of knowledge can enhance QRM outcomes to benefit the patient. Patrick presented an overview of how one could leverage advanced analytics in the pharmaceutical Industry.

Valerie Mulholland On Improving Rbdm Effectiveness, Valerie Mulholland

Level 3

No abstract provided.

Speaker Bios

Level 3

No abstract provided.

Ipq Bibliography Pac Km Qrm 2010 - 2023

Level 3

No abstract provided.

Preface, Anne Greene, Martin Lipa, Bill Paulson

Level 3

No abstract provided.