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Full-Text Articles in Medicine and Health Sciences

The Suitability Of Demand-Controlled Sensor Based Ventilation Systems In Retrofit Dwellings - A Longitudinal Study., Seamus Harrington, Mark Mulville Jan 2023

The Suitability Of Demand-Controlled Sensor Based Ventilation Systems In Retrofit Dwellings - A Longitudinal Study., Seamus Harrington, Mark Mulville

Conference papers

A fabric-first approach to dwelling retrofit results in increased airtightness, therefore there is an obligation to ensure that the upgrades do not lead to poor indoor air quality (IAQ) resulting from inadequate ventilation. The sensor-based demand-controlled ventilation (SBDCV) under review seeks to provide fresh air for breathing and to dilute and exhaust pollutants and odours. This system modulates the ventilation rate over time based on relative humidity levels and/or presence detection and considers that the level of ventilation provided is sufficient to control the concentration of all other indoor air pollutants, including those that are not a result of human …


Optimisation Of Raman Spectral Processing For Classification Of Radiotherapeutic Toxicity, Isha Behl, Dinesh Medipally, Chris Talbot, Aidan Meade, Fiona Lyng Jan 2023

Optimisation Of Raman Spectral Processing For Classification Of Radiotherapeutic Toxicity, Isha Behl, Dinesh Medipally, Chris Talbot, Aidan Meade, Fiona Lyng

Conference papers

Severe radiation toxicity can continue years after the completion of radiotherapy for prostate cancer patients. Currently, it is impossible to predict before treatment which patients will experience these long-term side effects. New approaches based on vibrational spectroscopy have advantages over lymphocyte and genomic assays in terms of minimal sample preparation, speed and cost. A high throughput method has been developed to measure Raman spectra from liquid plasma in a cover glass bottomed 96 well plate. However, the Raman spectra can show contributions from glass and water. The current study aims to optimise pre-processing steps to improve classification performance.


The Clinical Transferability Of Raman Micro-Spectroscopic Systems For Cervical Cytopathology, Rubina Shaikh Dr, Sarah Loughlin, Alison Malkin, John J. O'Leary, Cara M. Martin, Fiona Lyng Jan 2023

The Clinical Transferability Of Raman Micro-Spectroscopic Systems For Cervical Cytopathology, Rubina Shaikh Dr, Sarah Loughlin, Alison Malkin, John J. O'Leary, Cara M. Martin, Fiona Lyng

Conference papers

The clinical potential for Raman microscopic systems is well established for early diagnosis via cytology. Although Raman systems offer a complementary diagnostic tool providing molecular information, it is not yet utilised substantially in clinics. A few challenges for the clinical implementation of Raman spectroscopy are system and user variability. In this study, we asked how much variability occurs due to different Raman systems or users. To address these questions, we measured the same set of cells using two different Raman microscopes and by two different users. And classification models were generated using multivariate partial least squares discriminant analysis (PLS-DA) and …


Medical Concept Mention Identification In Social Media Posts Using A Small Number Of Sample References, Vasudevan Nedumpozhimana, Sneha Rautmare, Meegan Gower, Maja Popovic, Nishtha Jain, Patricia Buffini, John Kelleher Jan 2023

Medical Concept Mention Identification In Social Media Posts Using A Small Number Of Sample References, Vasudevan Nedumpozhimana, Sneha Rautmare, Meegan Gower, Maja Popovic, Nishtha Jain, Patricia Buffini, John Kelleher

Conference papers

Identification of mentions of medical concepts in social media text can provide useful information for caseload prediction of diseases like Covid-19 and Measles. We propose a simple model for the automatic identification of the medical concept mentions in the social media text. We validate the effectiveness of the proposed model on Twitter, Reddit, and News/Media datasets.


Identification Of Precancerous Oral Lesions Using Minimally Invasive Sampling Techniques And Raman Microspectroscopy, Isha Behl Jan 2023

Identification Of Precancerous Oral Lesions Using Minimally Invasive Sampling Techniques And Raman Microspectroscopy, Isha Behl

Conference papers

The gold standard diagnosis of oral pre-cancer/cancer is an invasive biopsy followed by a histological examination, which may present psychological trauma and risk of infection to patients. Moreover, multiple biopsies are often required to monitor precancer lesions' progression. With the aim of reducing the need for multiple biopsies, this study was undertaken to identify pre-cancerous lesions using minimally invasive brush biopsy and saliva samples, analysed by Raman spectroscopy.


Thermodynamic Analysis Of Digestate Pyrolysis Coupled With Co2 Sorption, Antonella Dimotta, Cesare Freda Jan 2023

Thermodynamic Analysis Of Digestate Pyrolysis Coupled With Co2 Sorption, Antonella Dimotta, Cesare Freda

Conference papers

To date the management of digestate is a crucial task for anaerobic digestion process. In the present work a strategy for digestate management is thermodynamically analyzed by a commercial software for process simulation called CHEMCAD®. Pyrolysis of digestate is simulated by a minimization of the free Gibbs energy. The sequestration of the carbon dioxide (CO2) released by the pyrolysis is investigated by the addition of calcium oxide, in order to reduce CO2 emissions. The effect of the pyrolysis temperature between 400–900 °C and of the CaO/digestate mass ratio between 0–0.5 was discussed, as well. The CHEMCAD application allowed to investigate …