Digital Commons Network^™

The New Orleans Transformation: Foster Care As A Rare, Time-Limited Intervention, Josh Gupta-Kagan, Christopher Church, Melissa Carter, Vivek Sankaran, Andrew Barclay

Articles

This Article offers an initial evaluation of one reformed child protection system— New Orleans, Louisiana—and describes how a system that dramatically reduces the number of children in foster care might look. This system shows how a major metropolitan area can shrink its daily population of children in foster care to the low double digits, which would correspond to a reduction of the national daily foster care population by about 360,000. This reduction was mostly due to sending children home—usually to the homes from which they were removed—within days or weeks of removal, raising questions about the necessity of the original …

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 …

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

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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 …

Comparing Poor And Favorable Outcome Prediction With Machine Learning After Mechanical Thrombectomy In Acute Ischemic Stroke, Matthias A. Mutke, Vince I. Madai, Adam Hilbert, Esra Zihni, Arne Potreck, Charlotte S. Weyland, Markus A. Mohlenbruch, Sabine Heiland, Peter A. Ringleb, Simon Nagel, Martin Beendszus, Dietmar Frey

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Outcome prediction after mechanical thrombectomy (MT) in patients with acute ischemic stroke (AIS) and large vessel occlusion (LVO) is commonly performed by focusing on favorable outcome (modified Rankin Scale, mRS 0–2) after 3 months but poor outcome representing severe disability and mortality (mRS 5 and 6) might be of equal importance for clinical decision-making.

Understanding And Predicting Cognitive Improvement Of Young Adults In Ischemic Stroke Rehabilitation Therapy, Helard Becerra Martinez, Katryna Cisek, Alejandro Garcia-Rudolph, John Kelleher, Andrew Hines

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Accurate early predictions of a patient's likely cognitive improvement as a result of a stroke rehabilitation programme can assist clinicians in assembling more effective therapeutic programs. In addition, sufficient levels of explainability, which can justify these predictions, are a crucial requirement, as reported by clinicians. This article presents a machine learning (ML) prediction model targeting cognitive improvement after therapy for stroke surviving patients. The prediction model relies on electronic health records from 201 ischemic stroke surviving patients containing demographic information, cognitive assessments at admission from 24 different standardized neuropsychology tests (e.g., TMT, WAIS-III, Stroop, RAVLT, etc.), and therapy information collected …

Toward Inclusive Online Environments: Counterfactual-Inspired Xai For Detecting And Interpreting Hateful And Offensive Tweets, Muhammad Deedahwar Mazhar Qureshi, Muhammad Atif Qureshi, Wael Rashwan

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The prevalence of hate speech and offensive language on social media platforms such as Twitter has significant consequences, ranging from psychological harm to the polarization of societies. Consequently, social media companies have implemented content moderation measures to curb harmful or discriminatory language. However, a lack of consistency and transparency hinders their ability to achieve desired outcomes. This article evaluates various ML models, including an ensemble, Explainable Boosting Machine (EBM), and Linear Support Vector Classifier (SVC), on a public dataset of 24,792 tweets by T. Davidson, categorizing tweets into three classes: hate, offensive, and neither. The top-performing model achieves a weighted …

Do Games Reduce Math Anxiety? A Meta-Analysis, Pierpaolo Dondio, Viacheslav Filonenko, Mariana Rocha

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In this paper, we meta-analyse the empirical evidence about the effectiveness of game-based interventions to reduce students' level of math anxiety. After performing a search for randomised controlled studies relevant to game-based intervention for math anxiety, 16 experimental studies with a total of 686 participants described in 11 peer-review articles met the selection criteria.A random-effects meta-analysis indicated a small and non-significant reduction of math anxiety (mean effect size ES=-0.32, CI=[-0.64,0.01]). The results were moderated by several factors: non-digital games were more effective, while digital games had a negligible mean effect size of $ES=-0.13$, $CI=[-0.33,0.08]$. The effect size was moderated also …

Learnings From A National Cyberattack Digital Disaster During The Sars-Cov-2 Pandemic In A Pediatric Emergency Medicine Department, Fiona Leonard, Hugh O'Reilly, Carol Blackburn, Laura Melody, Dani Hall, Eleanor Ryan, Kate Bruton, Pamela Doyle, Bridget Conway, Michael Barrett

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Objective: The primary objective was to analyze the impact of the national cyberattack in May 2021 on patient flow and data quality in the Paediatric Emergency Department (ED), amid the SARS-CoV-2 (COVID-19) pandemic. Methods: A single site retrospective time series analysis was conducted of three 6-week periods: before, during, and after the cyberattack outage. Initial emergent workflows are described. Analysis includes diagnoses, demographic context, key performance indicators, and the gradual return of information technology capability on ED performance. Data quality was compared using 10 data quality dimensions. Results: Patient visits totaled 13 390. During the system outage, patient experience times …

New Fxlmat-Based Algorithms For Active Control Of Impulsive Noise, Alina Mirza, Farkhanda Afzal, Ayesha Zeb, Abdul Wakeel, Waqar Shahid Qureshi, Ali Akgul

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In the presence of non-Gaussian impulsive noise (IN) with a heavy tail, active noise control (ANC) algorithms often encounter stability problems. While adaptive filters based on the higher-order error power principle have shown improved filtering capability compared to the least mean square family algorithms for IN, however, the performance of the filtered-x least mean absolute third (FxLMAT) algorithm tends to degrade under high impulses. To address this issue, this paper proposes three modifications to enhance the performance of the FxLMAT algorithm for IN. To improve stability, the first alteration i.e. variable step size FxLMAT (VSSFxLMAT)algorithm is suggested that incorporates the …

An Integrated Model For Information Adoption&Trust In Mobile Social Commerce, Fulya Acikgoz, Abdelsalam Busalim, James Gaskin, Shahla Asadi

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ABSTRACT Despite the growing importance of mobile social commerce (ms-commerce), little research has been conducted on the effects of informational and social factors on users’ post-adoption behavior. We, therefore, build on the understanding of mobile social commerce in the UK market and how it affects users’ post-adoption behaviors. Our theoretical model leverages the information adoption model, social support theory, and social influence theory. Data was gathered from 377 ms-commerce users from the UK and analyzed via Partial Least Squares (PLS-SEM). The research findings show that both informational and social factors have a positive impact on information adoption in ms-commerce apps. …

Argframe: A Multi-Layer, Web, Argument-Based Framework For Quantitative Reasoning, Lucas Rizzo

Articles

Multiple systems have been proposed to perform computational argumentation activities, but there is a lack of options for dealing with quantitative inferences. This multi-layer, web, argument-based framework has been proposed as a tool to perform automated reasoning with numerical data. It is able to use boolean logic for the creation of if-then rules and attacking rules. In turn, these rules/arguments can be activated or not by some input data, have their attacks solved (following some Dung or rank-based semantics), and finally aggregated in different fashions in order to produce a prediction (a number). The framework is implemented in PHP for …

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 …

Enhancing The Prediction For Shunt‑Dependent Hydrocephalus After Aneurysmal Subarachnoid Hemorrhage Using A Machine Learning Approach, Dietmar Frey, Adam Hilbert, Anton Früh, Vince Istvan Madai, Tabea Kossen, Julia Kiewitz, Jenny Sommerfeld, Peter Vajkoczy, Meike Unteroberdörster, Esra Zihni, Sophie Charlotte Brune, Stefan Wolf, Nora Franziska Dengler

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Early and reliable prediction of shunt-dependent hydrocephalus (SDHC) after aneurysmal subarachnoid haemorhage (a SAH) may decrease the duration of in-hospital stay and reduce the risk of catheter-associated meningitis. Machine learning (ML) may improve predictions of SDHC in comparison to traditional non-ML methods. ML models were trained for CHESS and SDASH and two combined individual feature sets with clinical, radiographic, and laboratory variables. Seven different algorithms were used including three types of generalized linear models (GLM) as well as a tree boosting (Cat Boost) algorithm, a Nave Bayes (NB) classifier, and a multilayer perceptron (MLP) artificial neural net. The discrimination of …

The Potential And Limitations Of Conversational Agents For Chronic Conditions And Well-Being, Ekaterina Uetova, Lucy Hederman, Robert J. Ross, Dympna O'Sullivan

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Conversational agents are becoming more common in the health and wellness domains in part due to assumptions regarding potential improvements in individuals’ outcomes. This paper presents initial findings from a review of conversational agent use in healthcare for chronic conditions and well-being. A search of the literature was performed on electronic databases PubMed, ACM Digital Library, Scopus and IEEE Xplore. Studies were included if they were focused on chronic disorder management, disease prevention or lifestyle change and if systems were tested on target user groups. This paper investigates the health domains, the user profiles and reasons why conversational agents may …

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

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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 …

Turbulence Phenomena In Magnetohydrodynamic Phase Transitions, Giovambattista Amendola, Mauro Fabrizio, John Murrough Golden

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The model developed in (Fabrizio in J. Eng. Math., 2023) and (Fabrizio in Int. J. Eng. Sci. 44:529–539, 2006), involving the use of a local Reynolds number, is applied to describe phase transitions in a fluid. Specifically, it is applied in a magnetohydrodynamics context to study the evolution of turbulence in certain phenomena. The relevant equations describing the system are those of Navier-Stokes, Ginzburg-Landau and the magnetohydrodynamic equations, all suitably interconnected.

Valorisation Of Crustacean And Bivalve Processing Side Streams For Industrial Fast Time-To-Market Products: A Review From The European Union Regulation Perspective, Yang Zou, Marc Heyndrickx, Jane Debode Jane Debode, Katleen Raes, Donatella De Pascale, Patrice Behan, Michelle Giltrap, Christine O'Connor, Runar Gjerp Solstad, Kjersi Lian, Themistoklis Altintzoglou, Ragnhild Dragoy, Nathalie Maria Scheers, Ingrid Undeland, Johan Robbens

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A massive amount of crustaceans and bivalves are consumed each year, leading to millions of tons of processing side streams from the seafood industry. Considering the current trend of (bio)circular and zero-waste food production, crustacean and bivalve processing side streams (CBPS) seem a promising and emerging resource for producing high-value-added products. This paper highlights the general composition of CBPS with high commercial values, namely, protein, lipids, carotenoids, minerals and chitins. The extraction strategies of these fractions, including conventional chemical and environmentally friendly methods, are also discussed. This review presents and summarises CBPS as raw materials for developing fast time-to-market products …

Women Microbusiness Owners’ Entrepreneurial Marketing Decision-Making During A Crisis, Helen L. Bruce, Tara Rooney, Ewa Krolikowska

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Understanding effective marketing decision-making is key to driving business performance. However, knowledge of marketing decision-making by microbusiness owners is limited. Moreover, little is known about how microbusiness owners make marketing decisions under crisis conditions. This article explores entrepreneurial marketing decision-making by women microbusiness owners during the COVID-19 pandemic, through qualitative interviews with providers of children’s activities, who migrated their services online during lockdown. Findings shed light on their marketing decision-making by highlighting transitions between causation and effectuation approaches and identifying key resources leveraged in effectuation decision-making. We also observe how distinct principles of effectuation may be combined to make effective …

Watchdogs Of The Economy: The Development Of Irish Economics Profession’S Independent Voice, Joseph K. Fitzgerald, Brendan O'Rourke

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Histories of the development of professions show a profession’s relationship with the state as key to its authority. Yet professions, to gain technocratic authority, also strive to depoliticise their discourses to gain technocratic authority. This dilemmatic tension is particularly true for the economics profession. The historical development of the Irish economics provides an interesting case, where a complicated relationship with the state ultimately strengthened the profession within a society. An initial formalisation trajectory of Irish economics was thrown off course by the formation of an independent Irish state in the 1920s. This marked a period of isolation for the profession …

Sustainability In Supply Chain Management: Using Drawings To Understand Undergraduates’ Perceptions Of Sustainability, Sharon Feeney, John William Hogan

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Purpose – This paper presents an interpretation of freehand drawings produced by supply chain management undergraduates in response to the question: “What is sustainability?” Having to explain sustainability pictorially forced students to distill what the essence of sustainability meant to them and provided insights into how they perceived sustainability and their roles in achieving sustainability in the context of supply chain management. Design/methodology/approach – Students were asked to draw and answer the question “What is sustainability?” These drawings were discussed/interpreted in class. All drawings were initially examined quantitatively, before a sample of four were selected for presentation here. Findings – …

Understanding The Interplay Between Immigrant Nascent Entrepreneurship And Cross-Cultural Adaptation, Lucia Walsh, Thomas M. Cooney

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Purpose – All entrepreneurs face challenges during their venture start-up process, but immigrant entrepreneurs face additional and distinctive challenges due to their contextual newness. This paper focuses on understanding the intertwined journeys of nascent entrepreneurship and cross-cultural adaptation of immigrants in a small Western European country where immigrant entrepreneurship is still a relatively new phenomenon.

Design/methodology/approach – The induction-driven, 18-month longitudinal empirical inquiry focused on six early-stage nascent entrepreneurs. Qualitative methods included participant observation during an enterprise program, qualitative interviews and ongoing informal communication.

Findings – The data uncovered the interplay between the nascent immigrant entrepreneurship and crosscultural adaptation. This …

Workplace Accident Analysis In The Algerian Oil And Gas Industry, Hamza Zerrouki

Articles

A total of 42,032 workplace accidents were reported in 2021 by the Algerian National Social Insurance Fund for Salaried Workers in Algeria, of which 38,225 were accidents within the workplace and 3807 were related to traffic accidents or other reasons. Most of these accidents were recorded in the building and construction field, followed by the oil and gas company exploration and drilling, which comes at the forefront of the Sonatrach company. This study aims to analyze accidents in the workplace using quantitative and qualitative methods to determine the corresponding causes. Our study was carried out in collaboration with Sonatrach in …

Effect Of ‘Peatland-Use’ Type On Culturable Microbial Groups In Irish Peatlands In The Midlands, Gouri Atapattu, Samuel Obeng Apori, Tara Battersby, Michelle Giltrap, Furong Tian

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Soil microbial ecology in the Irish wetlands is still poorly understood, although it is crucial in introducing effective rewetting schemes to restore and conserve the Irish peatlands. As an initiative, peatlands with distinct land-use types (cutaway, raised semi-degraded, unimproved grassland and grassland) were collected from farms in the midlands to analyse various microbial populations. Peat was homogenized and serially diluted to culture on a range of specific and non-specific culture media. Culture isolation and microbial enumeration were performed. Gram staining and other microscopic observations of morphologically distinct microorganisms were performed, followed by isolation procedures. The numbers of total viable bacteria …

Extraction Yield And Biological Activity Of Phycobiliproteins From Porphyridium Purpureum Using Atmospheric Cold Plasma Discharge And Jet Systems, Shaba Noore, Brijesh K. Tiwari, Anet R. Jambrak, Josipa Dukic, Janith Wanigasekara, James Curtin, Claudio Fuentes-Grunewald, Colm P. O’Donnell

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Phycobiliproteins (PBPs) extracted from Porphyridium purpureum (P.p) have bioactive properties and are widely used as ingredients in nutraceutical and food applications. This study investigated the use of two cold plasma systems, namely cold plasma discharge system (CPDS) and cold plasma jet system (CPJS), for the aqueous extraction of PBPs from P. p. Three types of PBPs, namely phycoerythrin (PE), phycocyanin (PC) and allophycocyanin (APC) were identified in the crude extracts obtained. The highest PBPs extraction yield (11.31 ± 1.02 mg/g DW P. p) was obtained from CPDS treated samples at 25 kV using N2 for 9 min. CPDS treatments were …

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

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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 …

Topsoil Organic Carbon And Soil Ph Across Different Peatland Use Types In Co-Offaly, Ireland, Samuel Obeng Apori, Michelle Giltrap, Furong Tian

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Land use changes in temperate peat soils significantly impact topsoil organic carbon (SOC) content and soil pH, with implications for ecosystem functioning and carbon storage. Therefore, assessing soil organic carbon (SOC) and pH is instructive for reducing global carbon emissions. In this study, peat soil samples were collected from 0-10 cm and 10-20 cm depths in Co-Offaly, Ireland, to examine the SOC and soil pH across various peatland use types, including grassland (improved and unimproved), forestry, industrial cutaway, and cutover bog. The results indicate that among the peatland use types, intensive grassland exhibited the lowest SOC content, likely due to …

Biomolecules From Macroalgae-Nutritional Profile And Bioactives For Novel Food Product Development, Laura E. Healy, Xianglu Zhu, Milica Pojić, Carl Sullivan, Uma Tiwari, James Curtin, Brijesh K Tiwari

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Seaweed is in the spotlight as a promising source of nutrition for humans as the search for sustainable food production systems continues. Seaweed has a well-documented rich nutritional profile containing compounds such as polyphenols, carotenoids and polysaccharides as well as proteins, fatty acids and minerals. Seaweed processing for the extraction of functional ingredients such as alginate, agar, and carrageenan is well-established. Novel pretreatments such as ultrasound assisted extraction or high-pressure processing can be incorporated to more efficiently extract these targeted ingredients. The scope of products that can be created using seaweed are wide ranging: from bread and noodles to yoghurt …

Portable Hepa Filtration Successfully Augments Natural-Ventilation-Mediated Airborne Particle Clearance In A Legacy Design Hospital Ward, Mehael Fennelly, S. Hellebust, J. Wenger, D. O'Connor, G.W. Griffith, B.J. Plant, A.P.C. Microbiome Institute

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As the severe acute respiratory syndrome coronavirus-2 pandemic has proceeded, ventilation has been recognized increasingly as an important tool in infection control. Many hospitals in Ireland and the UK do not have mechanical ventilation and depend on natural ventilation. The effectiveness of natural ventilation varies with atmospheric conditions and building design. In a challenge test of a legacy design ward, this study showed that portable air filtration significantly increased the clearance of pollutant aerosols of respirable size compared with natural ventilation, and reduced spatial variation in particle persistence. A combination of natural ventilation and portable air filtration is significantly more …

The Biological Responses Of Vitamin K2: A Comprehensive Review, Quanxiang Yan, Tao Zhang, Christine O'Connor, James W. Barlow, John Walsh, Gaia Scalabrino, Feng Xu, Helan Sheridan

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Vitamin K1 (VitK1) and Vitamin K2 (VitK2), two important naturally occurring micronutrients in the VitK family, found, respectively, in green leafy plants and algae (VitK1) and animal and fermented foods (VitK2). The present review explores the multiple biological functions of VitK2 from recently published in vitro and in vivo studies, including promotion of osteogenesis, prevention of calcification, relief of menopausal symptoms, enhancement of mitochondrial energy release, hepato-and neuro-protective effects, and possible use in treatment of coronavirus disease. The mechanisms of action associated with these biological effects are also explored. Overall, the findings presented here suggest that VitK, especially VitK2, is …

Effect Of Process Variables And Ingredients On Controlled Protein Network Creation In High-Moisture Plant-Based Meat Alternatives, Animesh Singh Sengar, Michael Beyrer, Ciara Mcdonagh, Uma Tiwari, Shivani Pathania

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The market has observed a rapid increase in the demand for plant-based foods as an alternative to animal meat products. Technologies such as high-moisture extrusion (HME) have the potential to develop anisotropic structures using alternative protein ingredients. This article discusses the different possible mechanisms responsible for structure formation and the effect of extrusion process parameters and outlines the recent advances in the long cooling dies (LCDs) used for meat alternative development. The role of different protein ingredients and the impact of combining them with other biopolymers were also evaluated. The underlying mechanism behind anisotropic structure formation during HME is a …