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Articles 1 - 30 of 2244
Full-Text Articles in Physical Sciences and Mathematics
Using Chatgpt To Generate Gendered Language, Shweta Soundararajan, Manuela Nayantara Jeyaraj, Sarah Jane Delany
Using Chatgpt To Generate Gendered Language, Shweta Soundararajan, Manuela Nayantara Jeyaraj, Sarah Jane Delany
Conference papers
Gendered language is the use of words that denote an individual's gender. This can be explicit where the gender is evident in the actual word used, e.g. mother, she, man, but it can also be implicit where social roles or behaviours can signal an individual's gender - for example, expectations that women display communal traits (e.g., affectionate, caring, gentle) and men display agentic traits (e.g., assertive, competitive, decisive). The use of gendered language in NLP systems can perpetuate gender stereotypes and bias. This paper proposes an approach to generating gendered language datasets using ChatGPT which will provide data for data-driven …
Spectralomics – Towards A Holistic Adaptation Of Label Free Spectroscopy, Hugh Byrne
Spectralomics – Towards A Holistic Adaptation Of Label Free Spectroscopy, Hugh Byrne
Articles
Vibrational spectroscopy, largely based on infrared absorption and Raman scattering techniques, is much vaunted as a label free approach, delivering a high content, holistic characterisation of a sample, with demonstrable applications in a broad range of fields, from process analytical technologies and preclinical drug screening, to disease diagnostics, therapeutics, prognostics and personalised medicine. However, in the analysis of such complex systems, a trend has emerged in which spectral analysis is reduced to the identification of individual peaks, based on reference tables of assignments derived from literature, which are then interpreted as biomarkers. More sophisticated analysis attempts to unmix the spectrum …
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
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
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 …
Generalised Zero-Shot Learning For Action Recognition Fusing Text And Image Gans, Kaiqiang Huang, Susan Mckeever, Luis Miralles-Pechuán
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 …
Disaggregating Longer-Term Trends From Seasonal Variations In Measured Pv System Performance, Chibuisi Chinasaokwu Okorieimoh, Brian Norton, Michael Conlon
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 …
An Image Processing Approach For Real-Time Safety Assessment Of Autonomous Drone Delivery, Assem A. Abdelhak, Dan Moss, Alan Hicks, Susan Mckeever
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 …
Achieving Warranted Acceptance Of Biotechnologies, Emily Grayek, Baruch Fischhoff
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 …
Valerie Mulholland On Improving Rbdm Effectiveness, Valerie Mulholland
Valerie Mulholland On Improving Rbdm Effectiveness, Valerie Mulholland
Level 3
No abstract provided.
Agenda From June 1st Conference
Hpra’S Kevin O’Donnell On The Ich Q9 Revision And Considerations For Its Implementation, Kevin O'Donnell
Hpra’S Kevin O’Donnell On The Ich Q9 Revision And Considerations For Its Implementation, Kevin O'Donnell
Level 3
At the June 2023 PRST meeting on the ICH Q9 revision, HPRA Market Compliance Manager and Senior GMP Inspector Kevin O’Donnell, who has been serving as rapporteur for ICH Q9 (R1), addressed the changes introduced in the revision, the practicalities of implementation, and his “personal thoughts” on the implementation process. Click here for ICH Q9(R1) with the changes highlighted by O’Donnell, and here for the slides accompanying O’Donnell’s remarks. Formatting
changes and other minor edits have been made for clarity by IPQ. Expressions of thanks to the meeting organizers/attendees and disclaimers that the presentation represents the speaker’s views and not …
Balancing Quality Assurance & Innovation In Pharma, Emma Ramnarine
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
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 …
Preface, Anne Greene, Martin Lipa, Bill Paulson
Risk-Based Decision-Making – Using Knowledge Of Risk Throughout The Lifecycle, Michael Schousboe
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
Introducing Research Collaboration And Gmp Human Resource Development At Three Universities With Gmp Laboratories In Japan, Shingou Sakurai, Osamu Hiruta, Ryoko Naruse
Introducing Research Collaboration And Gmp Human Resource Development At Three Universities With Gmp Laboratories In Japan, Shingou Sakurai, Osamu Hiruta, Ryoko Naruse
Level 3
This paper summarises initiatives presented on June 1st 2023 at a seminar during a visit to Technological University Dublin. The authors travelled from 3 universities in Japan to share some of the collaborative research, education and training initiatives developed by them,
In their presentation the authors gave an overview of the current situation of Knowledge Management and Quality Culture in Japan, highlighting some recent issues and challenges, and presented some initiatives under development to specifically address these challenges.
Leveraging Advanced Analytics In The Pharmaceutical Industry, Patrick O'Sullivan
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.
Regulators Are Exploring With Industry How To Strengthen Quality Risk Management Practices, With Revision Of Ich Q9 A Key Focal Point, ( Ipq )
Level 3
No abstract provided.
Industry/Regulator Dialogue On Knowledge Management Is Intensifying In Wake Of Ich’S Q12 Initiative, ( Ipq )
Industry/Regulator Dialogue On Knowledge Management Is Intensifying In Wake Of Ich’S Q12 Initiative, ( Ipq )
Level 3
No abstract provided.
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
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.
Links To Prst Past Monographs And Level 3 Special Editions
Links To Prst Past Monographs And Level 3 Special Editions
Level 3
No abstract provided.
Ipq Bibliography Pac Km Qrm 2010 - 2023
Lipid Membrane Self-Assembly And Synthesis In The Lab By Rapid, Low-Cost Microfluidics Approaches, Kathleen Hardwick, Shane O'Reilly
Lipid Membrane Self-Assembly And Synthesis In The Lab By Rapid, Low-Cost Microfluidics Approaches, Kathleen Hardwick, Shane O'Reilly
SURE Journal: Science Undergraduate Research Experience Journal
Lipid membranes, which self-assemble in nature and under laboratory conditions, can form vesicles called liposomes. The main uses for liposomes are in drug delivery systems and as animal cell models. From the initial research into lipid membrane science, to the systematic literature review using Web of Science, to refining the project scope, to the description of the method, this project follows the process of developing a method for lipid membrane self-assembly and synthesis in the lab. The result was a rapid prototyping method for fabricating microfluidic devices to test different designs for channels, for use with a liposome synthesis protocol. …
Regulation Of Mirnas In Obesity And Diabetes, Eva Maher, Ava O'Meara, Cathy Brougham
Regulation Of Mirnas In Obesity And Diabetes, Eva Maher, Ava O'Meara, Cathy Brougham
SURE Journal: Science Undergraduate Research Experience Journal
Introduction: The prevalence of obesity and obesity-related secondary disorders has increased dramatically in recent years. Dysregulated microRNA (miRNA) expression has been linked to the development of obesity and its associated disorders. Adipose derived stem cells (ADSCs) are promising cell models of obesity, obesity-related inflammation and diabetes. Furthermore, miRNA expression profiles have emerged as promising targets for the novel treatment of diseases such as obesity. In order to enhance miRNA-based therapies, the miRNA expression profile of obesity and its related disorders must be monitored to further understand the underlying mechanisms of obesity and to identify novel targets.
Aim: The aim of …
The Potential Of Stem Cell Therapy In Multiple Sclerosis Treatment: A Review, Sorina Amarculesei, Ava O'Meara Cushen, Cathy Brougham
The Potential Of Stem Cell Therapy In Multiple Sclerosis Treatment: A Review, Sorina Amarculesei, Ava O'Meara Cushen, Cathy Brougham
SURE Journal: Science Undergraduate Research Experience Journal
Multiple Sclerosis is an autoimmune and neurodegenerative disease of the central nervous system. There are currently 2.8 million people living with Multiple Sclerosis worldwide, including 9000 people in Ireland, with a prevalence of 193 per 100,000 people. Symptoms of Multiple Sclerosis include sensory loss, fatigue, cognitive dysfunction, spasticity, depression, optic neuritis, gait ataxia, diplopia, and loss of bladder control. Currently, there is no standardised treatment or cure for Multiple Sclerosis with many strategies focusing on symptoms. Stem cells have emerged as promising approaches for Multiple Sclerosis therapeutics. Clinical trials primarily focus on mesenchymal stem cell-based therapies for Multiple Sclerosis. Furthermore, …
Editorial - Sure Journal Vol 5, Anne M. Friel
Editorial - Sure Journal Vol 5, Anne M. Friel
SURE Journal: Science Undergraduate Research Experience Journal
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Development Of An Optical Test Bed For The Fabrication And Characterisation Of An Analog Holographic Wavefront Sensor, Emma Branigan, Andreas Zepp, Suzanne Martin, Matthew Sheehan, Szymon Gladysz, Kevin Murphy
Development Of An Optical Test Bed For The Fabrication And Characterisation Of An Analog Holographic Wavefront Sensor, Emma Branigan, Andreas Zepp, Suzanne Martin, Matthew Sheehan, Szymon Gladysz, Kevin Murphy
Conference Papers
A new holographic recording setup has been developed for the fabrication of single- and multi-mode photopolymer-based analog holographic wavefront sensors. A second setup has been built and used to characterise the sensor at several wavelengths.
Exploring The Impact Of Signal Quality Enhancement On Heart Sound Classification Models, Davoud Shariat Panah, Andrew Hines, Susan Mckeever
Exploring The Impact Of Signal Quality Enhancement On Heart Sound Classification Models, Davoud Shariat Panah, Andrew Hines, Susan Mckeever
Articles
Limited cardiology resources increase the urgency for automated heart disease screening for the general public. Heart sound diagnostic models have been recently employed as a cost-effective solution for the initial screening of heart disease. Noise in heart sound recordings, however, can reduce the performance of such data-driven models. Various quality enhancement approaches have been adopted to alleviate the destructive impact of noise on model performance. One approach is universal noise reduction which applies denoising techniques to recordings, irrespective of their noise level. The second approach is targeted noise reduction, which applies denoising solely to recordings deemed to need it, based …