Digital Commons Network^™

Adolescent Overweight And Obesity In Ireland—Trends And Sociodemographic Associations Between 1990 And 2020, Aoibhín Moore Heslin, Aisling O'Donnell, Laura Kehoe, Janette Walton, Albert Flynn, John Kearney, Breige Mcnulty

Articles

Background: Overweight and obesity in adolescence is a growing issue and can have a range of both short- and long-term consequences on health. Objectives: To analyse trends in adolescent weight status in Ireland across a 30-year period and to examine the influence of sociodemographic factors on overweight/obesity in Irish adolescents over time. Methods: Body composition and body mass index weight status of Irish adolescents were compared using data from three nationally representative, cross-sectional Irish national food consumption surveys from 1990, 2006 and 2020. Adjusted analysis of associations between socio-demographic factors with the risk of adolescent overweight/obesity at each time point …

Exploring The Impact Of Noise And Degradations On Heart Sound Classification Models, Davoud Shariat Panah, Andrew Hines, Susan Mckeever

Articles

The development of data-driven heart sound classification models has been an active area of research in recent years. To develop such data-driven models in the first place, heart sound signals need to be captured using a signal acquisition device. However, it is almost impossible to capture noise-free heart sound signals due to the presence of internal and external noises in most situations. Such noises and degradations in heart sound signals can potentially reduce the accuracy of data-driven classification models. Although different techniques have been proposed in the literature to address the noise issue, how and to what extent different noise …

Persuasive Communication Systems: A Machine Learning Approach To Predict The Effect Of Linguistic Styles And Persuasion Techniques, Annye Braca, Pierpaolo Dondio

Articles

Prediction is a critical task in targeted online advertising, where predictions better than random guessing can translate to real economic return. This study aims to use machine learning (ML) methods to identify individuals who respond well to certain linguistic styles/persuasion techniques based on Aristotle’s means of persuasion, rhetorical devices, cognitive theories and Cialdini’s principles, given their psychometric profile.

Detection Of Grape Clusters In Images Using Convolutional Neural Network, Mohammad Osama Shahzad, Anas Bin Aqeel, Waqar Shahid Qureshi

Articles

Convolutional Neural Networks and Deep Learning have revolutionized every field since their inception. Agriculture has also been reaping the fruits of developments in mentioned fields. Technology is being revolutionized to increase yield, save water wastage, take care of diseased weeds, and also increase the profit of farmers. Grapes are among the highest profit-yielding and important fruit related to the juice industry. Pakistan being an agricultural country, can widely benefit by cultivating and improving grapes per hectare yield. The biggest challenge in harvesting grapes to date is to detect their cluster successfully; many approaches tend to answer this problem by harvest …

Nesnet: A Deep Network For Estimating Near-Surface Pollutant Concentrations, Prasanjit Dey, Bibhash Pran Das, Yee Hui Lee, Soumyabrata Dev

Articles

Atmospheric pollution has become a serious threat in recent years. The advancements and expansion of industrial activity and civilization have been the major catalysts. With serious consequences like climate change and global warming, the onset of which is already being observed, keeping a check on atmospheric pollutant levels is now more important than ever. Trace gases play a major role in atmospheric chemistry. Many of these are also regarded as major atmospheric pollutants. The concentration of gases, such as (SO2), (O3), (NO2), etc., are indicators of air quality. Therefore, in this study, we primarily concern ourselves with concentrations of NO2, …

A Multidimensionality Reduction Approach To Rainfall Prediction, Menatallah Abdel Azeem, Prasanjit Dey, Soumyabrata Dev

Articles

The rainfall has an impact on various fields and industries, including transportation, construction, tourism, health, and wildlife preservation. Accurate rainfall prediction is essential for mitigating the negative impact of rainfall on these sectors. However, previous studies on rainfall prediction have been mainly based on datasets from North America, Europe, Australia, and Central Asia, covering different periods. This study proposes using weather datasets covering the past 5 to 10 years to capture recent patterns in weather data. Additionally, the curse of dimensionality can impact model performance and lead to overfitting. Therefore, this study proposes utilizing dimensionality reduction techniques to ensure that …

Assessing The Impact Of Contact Tracing With An Agent-Based Model For Simulating The Spread Of Covid-19: The Irish Experience, Elizabeth Hunter, Sudipta Saha, Jwenish Kumawat, Ciara Carroll, John Kelleher, Claire Buckley, Conor Mcaloon, Patricia Kearney, Michelle Gilbert, Greg Martin

Articles

Contact tracing is an important tool in managing infectious disease outbreaks and Ireland used a comprehensive contact tracing program to slow the spread of COVID-19. Although the benefits of contact tracing seem obvious, it is difficult to estimate the actual impact contact tracing has on an outbreak because it is hard to separate the effects of contact tracing from other behavioural changes or interventions. To understand the impact contact tracing had in Ireland, we used an agent-based model that is designed to simulate the spread of COVID-19 through Ireland. The model uses real contact tracing data from the first year …

Developing Persuasive Systems For Marketing: The Interplay Of Persuasion Techniques, Customer Traits And Persuasive Message Design, Annye Braca, Pierpaolo Dondio

Articles

This paper presents a comprehensive review of persuasion techniques and their applications in the context of designing persuasive communication systems for marketing purposes. The study provides a condensed taxonomy of techniques and offers examples to guide the development of effective persuasive messages. Furthermore, the paper explores how attitudes, personality traits, and emotions can be leveraged as input data in predictive models, including machine learning approaches. The study's findings offer valuable insights for the design and implementation of persuasive communication systems across diverse contexts, including marketing and advertising, public health campaigns, and political messaging. This paper has the potential to serve …

The Role Of Teacher Agency In Using Gis To Teach Sustainability: An Evaluation Of A Lower Secondary School Story Mapping Gis Initiative In Ireland, Sasha Brown, Zerrin Doganca Kucuk, Angela Rickard, James Lonergan, Rachel Abernethy, Lorraine Mcnerney, Ronan Foley, Avril Behan, Aengus Byrne, Bernard Essel, Jack Ffrench, Jonathan Faull, Conor Cahalane

Articles

This paper investigates the role of teacher agency for those who were trained in using an innovative Geographic Information Systems (GIS) approach and incorporated GIS into their teaching. While national curricula increasingly emphasise STEM and sustainability approaches, there has been limited analysis of how teachers can bring new software, including GIS, and new approaches into the classroom. Through an evaluation of a teaching initiative “5*S: Space, Surveyors and Students – STEM and the Sustainable Development Goals” designed to bring GIS technology, satellite data, and the Sustainable Development Goals (SDGs) into classrooms as activities and resources for teachers and students in …

Raman Spectroscopy For Early Detection Of Cervical Cancer, A Global Women’S Health Issue—A Review, Rubina Shaikh, Amuthachelvie Daniel, Fiona Lyng

Articles

This review focuses on recent advances and future perspectives in the use of Raman spectroscopy for cervical cancer, a global women’s health issue. Cervical cancer is the fourth most common women’s cancer in the world, and unfortunately mainly affects younger women. However, when detected at the early precancer stage, it is highly treatable. High-quality cervical screening programmes and the introduction of the human papillomavirus (HPV) vaccine are reducing the incidence of cervical cancer in many countries, but screening is still essential for all women. Current gold standard methods include HPV testing and cytology for screening, followed by colposcopy and histopathology …

Sources Of Volatile Aromatic Congeners In Whiskey, Thomas J. Kelly, Christine O'Connor, Kieran N. Kilcawley

Articles

Whiskey’s complex and diverse flavor stems from a range of reactions that create congeners that are primarily dependent upon the cereal source/mash bill and each stage of the process: malting, mashing, fermentation, distillation, and cask maturation. Therefore, in theory, the congener profile of a whiskey is a summation of its ingredients and the specific parameters of each stage of the manufacturing process. Congener profiles have been used as biomarkers for quality and authentication; however, to date, insufficient information has been published in relation to the extensive profiling of congeners associated with specific whiskey styles/types or the intra-and inter-variability within brands, …

Recovery Of Protein From Industrial Hemp Waste (Cannabis Sativa, L.) Using High-Pressure Processing And Ultrasound Technologies, Eduarda M. Cabral

Articles

Hemp seeds are currently used mainly for oil extraction, generating waste that could be potentially exploited further as a source of proteins and other bio-actives. This study aims to valorise hemp waste (Cannabis sativa, L.) from previous oil extraction as a source of protein by analysing the effect of high-pressure processing (HPP) pre-treatments (0–600 MP a; 4–8 min) combined with conventional or ultrasound-assisted extraction (UAE) methods on protein recovery/purity, amino acid composition, and protein structure. Overall, maximum protein recovery (62%) was achieved with HPP (200 MP a, 8 min) with UAE. The highest protein purity (76%) was achieved with HPP …

Optimizing Human Performance To Enhance Safety: A Case Study In An Automotive Plant, Maria Chiara Leva, Michaela Demichela, Carlos Albarran Morillo, Franco Modaffari, Lorenzo Comberti

Articles

Human factors play a relevant role in the dynamic work environments of the manufacturing sector in terms of production efficiency, safety, and sustainable performance. This is particularly relevant in assembly lines where humans are widely employed alongside automated and robotic agents. In this situation, operators’ ability to adapt to different levels of task complexity and variability in each workstation has a strong impact on the safety, reliability, and efficiency of the overall production process. This paper presents an application of a theoretical and empirical method used to assess the matching of different workers to various workstations based on a quantified …

Soil Organic Matter Carbon Chemistry Signatures, Hydrophobicity And Humification Index Following Land Use Change In Temperate Peat Soils, Samuel Obeng Apori, Julie Dunne, Michelle Giltrap, Furong Tian

Articles

Peatlands play a critical role in the global carbon cycle, storing large amounts of carbon because of a net imbalance between primary production and the microbial decomposition of the organic matter. Nevertheless, peatlands have historically been drained for energy sources (e.g. peat briquettes), forestry, or agriculture - practices that could affect the quality of the soil organic matter (SOM) composition, hydrophobicity and humification index. This study compared the effect of land use change on the quality and composition of peatland organic material in Co-Offaly, Ireland. Specifically, drained and grazing peat (grassland), drained and forest plantation peat (forest plantation), drained and …

Recent Insights On The Conformational Changes, Functionality, And Physiological Properties Of Plant-Based Protein–Polyphenol Conjugates, Mehnaza Manzoor, Zaria Fozonne Ngabou Tchameni, Zuhaib F. Bhat, Amit K. Jaiswal, Sundeep Jaglan

Articles

Plant proteins are promising sources of nutrition with enhanced health benefits due to their interaction with bioactive compounds like polyphenols. These interactions can form protein–polyphenol complexes with diverse properties and applications in the food, nutraceutical, and pharmaceutical industries. To exploit the potential of these conjugates, it is essential to understand how they are formed, characterized, and delivered. Various techniques such as spectroscopy, thermodynamics, and molecular docking simulations can reveal the mechanism and outcomes of protein–polyphenol binding. Moreover, the surface modification of protein–polyphenol conjugation can enhance the pharmacological effects of different drug molecules and enable their targeted delivery to specific tissues …

Do The Culturable Microbial Groups Present In Cutaway Bogs Change According To Temporal Variation? Pilot Study Based On The Midlands In The Republic Of Ireland, Gouri Nilakshika Atapattu, Tara Battersby, Michelle Giltrap, Furong Tian

Articles

Cutaway peatlands in the midlands of the Republic of Ireland are rarely the focus of scientific studies. The soil quality and related microenvironment have been severely impacted by peat extraction. Returning them to a ‘near-natural state' would require greater insights into this ecological niche. The current research took the initiative to study the microbiology of vast cutaway sites in the midlands of Ireland. Peat was collected over two seasons in January, February and April. Homogenised peat was aseptically cultured on a range of specific and non-specific culture media. Microbial enumeration, Gram staining and other microscopic observations of morphologically distinct microorganisms …

Approaches To Avoid Proteolysis During Protein Expression And Purification, Gary T. Henehan, Barry J. Ryan, Gemma K. Kinsella

Books/Book Chapters/ Proceedings

All cells contain proteases, which hydrolyze the peptide bonds between amino acids of a protein backbone. Typically, proteases are prevented from nonspecific proteolysis by regulation and by their physical separation into different subcellular compartments; however, this segregation is not retained during cell lysis, which is the initial step in any protein isolation procedure. Prevention of proteolysis during protein purification often takes the form of a two-pronged approach: first, inhibition of proteolysis in situ, followed by the early separation of the protease from the protein of interest via chromatographic purification. Protease inhibitors are routinely used to limit the effect of the …

Protein Extraction And Purification By Differential Solubilization, Barry J. Ryan, Gemma K. Kinsella, Gary T. Henehan

Books/Book Chapters/ Proceedings

The preparation of purified soluble proteins for biochemical studies is essential and the solubility of a protein of interest in various media is central to this process. Selectively altering the solubility of a protein is a rapid and economical step in protein purification and is based on exploiting the inherent physicochemical properties of a polypeptide. Precipitation of proteins, released from cells upon lysis, is often used to concentrate a protein of interest before further purification steps (e.g., ion exchange chromatography, size exclusion chromatography etc).

Recombinant proteins may be expressed in host cells as insoluble inclusion bodies due to various influences …

Agreement Between Lea Symbols And Patti Pics Visual Acuity In Children And Adults, Arjun Sapkotaa, Sanjeeta Sitaula, Gauri Shankar Shresthab, Niraj Dev Joshib, Bipin Koiralaa Bipin Koiralaa, Nabin Paudel

Articles

Patti Pics (PP) and Lea Symbols (LS) are commonly used by eye care practitioners worldwide. Although the relationship between the two tests is fairly well understood, the availability of different chart designs (single optotypes, multiple optotypes, multiple optotypes with crowding box) merits futher understanding. The purpose of this study is to explore the agreement between the acuity measures obtained with Patti Pics and Lea Symbols in children and adults and compare their performance with the Sloan Letter (SL) chart in adults. Methods: Monocular visual acuity was obtained from ninety-three 3 to 5-year-old children using Patti Pics and Lea Symbols. Acuities …

Prevalence Of Refractive Errors In Nepalese Children And Adults: A Systematic Review With Meta-Analysis, Jeewanand Bist, Himal Kandel, Nabin Paudel, Dinesh Kaphled, Rajendra Gyawali, Sanjay Marasini, Rabindra Adhikaryg, Prakash Paudel

Articles

Clinical relevance: Country-specific estimates of the prevalence of refractive errors are important to formulate national eye health policies for refractive care services. Background: The purpose of this study was to systematically synthesise available literature and estimate the prevalence of refractive errors in the Nepalese population. Methods: PubMed, Scopus, and Web of Science databases were systematically searched for articles on refractive errors and presbyopia published in English language until 27 September 2022. Population and school-based quantitative, cross-sectional prevalence studies and Rapid Assessment of Avoidable Blindness survey repository data were included. The quality of the included studies was assessed using the Newcastle …

Choroidal Thickness Profiles And Associated Factors In Myopic Children, Emmnuel Kobia Acquah, Daniel Ian Flitcroft, Gareth Lingham, Nabin Paudel, James Loughman

Articles

SIGNIFICANCE: This study addresses the lack of choroidal thickness (ChT) profile information available in European children and provides a baseline for further evaluation of longitudinal changes in ChT profiles in myopic children as a potential biomarker for myopia treatment and identifying children at risk of myopic progression.

PURPOSE: This study aimed to investigate ChT profiles and associated factors in myopic children.

METHODS: Baseline data of 250 myopic children aged 6 to 16 years in the Myopia Outcome Study of Atropine in Children clinical trial were analyzed. Choroidal thickness images were obtained using swept-source optical coherence tomography (DRI-OCT Triton Plus; Topcon …

Tfos Lifestyle - Evidence Quality Report: Advancing The Evaluation And Synthesis Of Research Evidence, Laura E. Downie, Alexis Ceecee Britten-Jones, Ruth E. Hogg, Isabelle Jalbert, Tianjing Li, Gareth Lingham, Su-Hsun Liu, Riaz Quereshi, Ian J. Saldanha, Sumeer Singh, Jennifer P. Craig

Articles

Evidence-based practice is a dominant paradigm in healthcare that emphasizes the importance of ensuring the translation of the best available, relevant research evidence into practice. An Evidence Quality Subcommittee was established to provide specialized methodological support and expertise to promote rigorous and evidence-based approaches for the Tear Film and Ocular Surface Society (TFOS) Lifestyle Epidemic reports. The present report describes the purpose, scope, and activity of the Evidence Quality Subcommittee in the undertaking of high-quality narrative-style literature reviews, and leading prospectively registered, reliable systematic reviews of high priority research questions, using standardized methods for each topic area report. Identification of …

Strabismus And Amblyopia In Africa – A Systematic Review And Meta-Analysis, Prince Kwaku Akowuah, Samuel Adade, Andrews Nartey, Ebenezer Owusu, Richard Donkor, Stephen Ankamah-Lomotey

Articles

The objective of this review was to estimate the prevalence of strabismus and amblyopia in Africa. A systematic online literature search was conducted for articles on strabismus and amblyopia in Africa. Meta-analysis was performed, using the Freeman-Tukey double arcsine transformation, to estimate the prevalence of strabismus and amblyopia in Africa. Subgroup analyses were conducted according to age, gender, study year, and type of amblyopia. Meta-regression was used to evaluate the influence of predetermined factors on the prevalence of amblyopia. 8 (1 population-based & 7 school-based) and 21 (3 population-based & 18 school-based) studies on strabismus and amblyopia with sample sizes …

Effect Of Pre-Analytical Variables On Raman And Ftir Spectral Content Of Lymphocytes, Jade F. Monaghan, Daniel Cullen, Claire Wynne, Fiona Lyng, Aidan Meade

Articles

The use of Fourier transform infrared (FTIR) and Raman spectroscopy (RS) for the analysis of lymphocytes in clinical applications is increasing in the field of biomedicine. The pre-analytical phase, which is the most vulnerable stage of the testing process, is where most errors and sample variance occur; however, it is unclear how pre-analytical variables affect the FTIR and Raman spectra of lymphocytes. In this study, we evaluated how pre-analytical procedures undertaken before spectroscopic analysis influence the spectral integrity of lymphocytes purified from the peripheral blood of male volunteers (n = 3). Pre-analytical variables investigated were associated with (i) sample preparation, …

The Association Of Adolescents' Smoking With The Physical Activity Levels Of Their Friends, R.A. Smit, M.A.G. Kuipers, B. Federico, Luke Clancy, J. Perlman, A.D. Rozema, A.E. Kunst

Articles

Background: Smoking is inversely related to people's Physical Activity Level (PAL). As the behavior of friends may affect the choices and behavior of adolescents, having friends with a high PAL may potentially protect against adolescent smoking. This study aims to assess whether adolescents' smoking is associated with the PAL of their friends. Methods: SILNE-R survey data of 11.918 adolescents from 55 different schools in 7 European cities was used to determine weekly smoking, individual PAL, PAL of friends, school PAL, and smoking of friends. Multilevel, multivariable logistic regression analysis were used to assess the association between the PAL of friends …

The Effectiveness Of Allen Carr's Method For Smoking Cessation: A Systematic Review, Irene Possenti, Marco Scala, Alessandra Lugo, Luke Clancy, Sheila Keogan, Silvano Gallus

Articles

Introduction: Allen Carr's (AC) method is a pharmacotherapy-free approach to quit smoking that is delivered through seminars, online courses, or in the form of a book. It has gained popularity, but its effectiveness remains controversial due to a lack of scientific evidence. This systematic review aims to provide an updated overview of the current evidence on the effectiveness of the AC method.

Methods: We conducted a systematic literature review of all epidemiological studies evaluating the effectiveness of the AC method for smoking cessation, published in PubMed/MEDLINE and Embase up to March 2023.

Results: Among 34 original studies identified through the …

Holographic Recording Of Unslanted Volume Transmission Gratings In Acrylamide/Propargyl Acrylate Hydrogel Layers: Towards Nucleic Acids Biosensing, Paola Zezza, María Isabel Lucío, Izabela Naydenova, María José Bañuls, Ángel Maquieira

Articles

The role of volume hydrogel holographic gratings as optical transducers in sensor devices for point-of-care applications is increasing due to their ability to be functionalized for achieving enhanced selectivity. The first step in the development of these transducers is the optimization of the holographic recording process. The optimization aims at achieving gratings with reproducible diffraction efficiency, which remains stable after reiterative washings, typically required when working with analytes of a biological nature or several step tests. The recording process of volume phase transmission gratings within Acrylamide/Propargyl Acrylate hydrogel layers reported in this work was successfully performed, and the obtained diffraction …

Clinical Radiobiology For Radiation Oncology, Peter Sminia, Olivier Guipaud, Kristina Viktorsson, Vidhula Ahire, Sarah Baatout, Tom Boterberg, Jana Cizkova, Marek Dostál, Cristian Fernandez-Palomo, Alzbeta Filipova, Agnès François, Mallia Geiger, Alistairl Hunter, Hussam Jassim, Nina Frederike Jeppesen Edin, Karl Jordan, Irena Koniarová, Vinodh Kumar Selvaraj, Aidan D. Meade, Fabien Milliat, Alegría Montoro, Constantinus Politis, Diana Savu, Alexandra Sémont, Ales Tichy, Vlastimil Válek, Guillaume Vogin

Books/Book Chapters

This chapter is focused on radiobiological aspects at the molecular, cellular, and tissue level which are relevant for the clinical use of ionizing radiation (IR) in cancer therapy. For radiation oncology, it is critical to find a balance, i.e., the therapeutic window, between the probability of tumor control and the probability of side effects caused by radiation injury to the healthy tissues and organs. An overview is given about modern precision radiotherapy (RT) techniques, which allow optimal sparing of healthy tissues. Biological factors determining the width of the therapeutic window are explained. The role of the six typical radiobiological phenomena …

Supporting Clinical Decision Making In The Emergency Department For Paediatric Patients Using Machine Learning: A Scoping Review Protocol, Fiona Leonard, Dympna O. Sullivan, John Gilligan, Nicola O. Shea, Michael J. Barrett

Articles

Introduction Machine learning as a clinical decision support system tool has the potential to assist clinicians who must make complex and accurate medical decisions in fast paced environments such as the emergency department. This paper presents a protocol for a scoping review, with the objective of summarising the existing research on machine learning clinical decision support system tools in the emergency department, focusing on models that can be used for paediatric patients, where a knowledge gap exists. Materials and methods The methodology used will follow the scoping study framework of Arksey and O'Malley, along with other guidelines. Machine learning clinical …

Accessibility Of Health Data Representations For Older Adults: Challenges And Opportunities For Design, Peterson Jean, Emma Murphy, Enda Bates

Books/Book Chapters

Health data of consumer off-the-shelf wearable devices is often conveyed to users through visual data representations and analyses. However, this is not always accessible to people with disabilities or older people due to low vision, cognitive impairments or literacy issues. Due to trade-offs between aesthetics predominance or information overload, real-time user feedback may not be conveyed easily from sensor devices through visual cues like graphs and texts. These difficulties may hinder critical data understanding. Additional auditory and tactile feedback can also provide immediate and accessible cues from these wearable devices, but it is necessary to understand existing data representation limitations …