Digital Commons Network^™

Corrigendum: Human Mental Workload: A Survey And A Novel Inclusive Definition, Luca Longo, Christopher D. Wickens, Gabriella Hancock, P. A. Hancock

Articles

In the published article, the name of Gabriella Hancock was incorrectly written as “Gabriela M. Hancock.” The correct name is “Gabriella Hancock.” In the published article, there was also an error in the author list as published. Gabriella Hancock was listed as the last author, but should have been listed as third author. P. A. Hancock was listed as third author but should be listed as the last author. The corrected author list appears below. Luca Longo1, Christopher D.Wickens, Gabriella Hancock and P. A. Hancock. The authors apologize for this error and state that this does not change the scientific …

Subnetwork Ensembling And Data Augmentation: Effects On Calibration, A. Çağrı Demir, Simon Caton, Pierpaolo Dondio

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Deep Learning models based on convolutional neural networks are known to be uncalibrated, that is, they are either overconfident or underconfident in their predictions. Safety-critical applications of neural networks, however, require models to be well-calibrated, and there are various methods in the literature to increase model performance and calibration. Subnetwork ensembling is based on the over-parametrization of modern neural networks by fitting several subnetworks into a single network to take advantage of ensembling them without additional computational costs. Data augmentation methods have also been shown to enhance model performance in terms of accuracy and calibration. However, ensembling and data augmentation …

Decision Making For Process Control Management In Control Rooms: A Survey Methodology And Initial Findings, Chidera Winifred Amazu, Ammar N. Abbas, Micaela Demichela, Davide Fissore

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Control rooms and their operators are active elements in complex socio-technical systems such as process plants. Control room operators monitor process operations, respond to alarms, and manage process deviations until emergencies. The increase in automation of plants and equipment makes the operators less involved in manual process control or other physical roles while more exposed to cognitive load generated, for example, by increasing the number of alarms or potential system failures in abnormal situations. A shift in process control design and management techniques to holistically capture risks due to evolving process or monitoring capabilities and the related influencing factors is …

Explaining Deep Q-Learning Experience Replay With Shapley Additive Explanations, Robert S. Sullivan, Luca Longo

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Reinforcement Learning (RL) has shown promise in optimizing complex control and decision-making processes but Deep Reinforcement Learning (DRL) lacks interpretability, limiting its adoption in regulated sectors like manufacturing, finance, and healthcare. Difficulties arise from DRL's opaque decision-making, hindering efficiency and resource use, this issue is amplified with every advancement. While many seek to move from Experience Replay to A3C, the latter demands more resources. Despite efforts to improve Experience Replay selection strategies, there is a tendency to keep the capacity high. We investigate training a Deep Convolutional Q-learning agent across 20 Atari games intentionally reducing Experience Replay capacity from (Formula …

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

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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

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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 …

Comparing And Extending The Use Of Defeasible Argumentation With Quantitative Data In Real-World Contexts, Lucas Rizzo, Luca Longo

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Dealing with uncertain, contradicting, and ambiguous information is still a central issue in Artificial Intelligence (AI). As a result, many formalisms have been proposed or adapted so as to consider non-monotonicity. A non-monotonic formalism is one that allows the retraction of previous conclusions or claims, from premises, in light of new evidence, offering some desirable flexibility when dealing with uncertainty. Among possible options, knowledge-base, non-monotonic reasoning approaches have seen their use being increased in practice. Nonetheless, only a limited number of works and researchers have performed any sort of comparison among them. This research article focuses on evaluating the inferential …

Gated Deep Reinforcement Learning With Red Deer Optimization For Medical Image Classification, Narayanan Ganesh, Sambandan Jayalakshmi, Rama Chandran Narayanan, Miroslav Mahdal, Hossam Zawbaa, Ali Wagdy Mohamed

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The brain is one of the most important and complex organs in the body, consisting of billions of individual cells. Uncontrolled growth and expansion of aberrant cell populations within or around the brain are the main causes of brain tumors. These cells have the potential to harm healthy cells and impair brain function [1]. Tumors can be detected using medical imaging techniques, which are considered the most popular and accurate way to classify different types of cancer, and this procedure is even more crucial as it is noninvasive [2]. Magnetic resonance imaging (MRI) is one such medical imaging technique that …

Schizo-Net: A Novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning On Electroencephalogram-Based Brain Connectivity Indices, Nitin Grover, Aviral Chharia, Rahul Upadhyay, Luca Longo

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Schizophrenia (SCZ) is a serious mental condition that causes hallucinations, delusions, and disordered thinking. Traditionally, SCZ diagnosis involves the subject’s interview by a skilled psychiatrist. The process needs time and is bound to human errors and bias. Recently, brain connectivity indices have been used in a few pattern recognition methods to discriminate neuro-psychiatric patients from healthy subjects. The study presents Schizo-Net , a novel, highly accurate, and reliable SCZ diagnosis model based on a late multimodal fusion of estimated brain connectivity indices from EEG activity. First, the raw EEG activity is pre-processed exhaustively to remove unwanted artifacts. Next, six brain …

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

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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 …

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

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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, …

How Visual Stimuli Evoked P300 Is Transforming The Brain–Computer Interface Landscape: A Prisma Compliant Systematic Review, Jai Kalra, Prashasti Mittal, Nirmiti Mittal, Abhishek Arora, Utkarsh Tewari, Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Luca Longo

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Non-invasive Visual Stimuli evoked-EEGbased P300 BCIs have gained immense attention in recent years due to their ability to help patients with disability using BCI-controlled assistive devices and applications. In addition to the medical field, P300 BCI has applications in entertainment, robotics, and education. The current article systematically reviews 147 articles that were published between 2006-2021*. Articles that pass the pre-defined criteria are included in the study. Further, classification based on their primary focus, including article orientation, participants’ age groups, tasks given, databases, the EEG devices used in the studies, classification models, and application domain, is performed. The application-based classification considers …

Ontology-Based Case Study Management Towards Bridging Training And Actual Investigation Gaps In Digital Forensics, Hung Q. Ngo, Nhien-An Le-Khac

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The training programs in digital forensics have contributed many case study models to guide digital forensic analyses. However, they only account for a small number of real cases and they are usually too abstract while actual cybercrime investigations are more diverse and complex. This gap leads to difficulties in giving immediate and straightforward actions for law enforcement during cybercrime investigations. In this paper, we propose an ontology-based knowledge map model, which is a foundation model for building a case study management system for Digital Forensic Intelligence (DFINT) and Open Source Intelligence (OSINT) in digital forensics. The main idea of this …

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

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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 …

Considerations For Scaling A Social Enterprise: Key Factors And Elements, Clodagh O'Reilly, Lucia Walsh, Ziene Mottiar

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No abstract provided.

Laser Structure Based On An Erbium-Doped Fiber Ring And A Whispering Gallery Mode Microbottle Resonator, Anuradha Rout, Zhe Wang, Zhuochen Wang, Yuliya Semenova

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A novel fiber laser structure, to the best of our knowledge, based on an erbium-doped fiber ring (EDFR) and a silica microbottle resonator (MBR) is proposed and investigated experimentally. Two fiber laser samples based on MBRs with different geometries and diameters of 200 and 150 µm are fabricated, and their performance is studied experimentally. Periodic whispering gallery mode spectra of the MBRs are dependent on the position of the fiber taper used for coupling of light into the MBR, and this dependence is explored to achieve lasing at different wavelengths by moving the light coupling point along the axis of …

A Review Of Alternative Proteins For Vegan Diets: Sources, Physico-Chemical Properties, Nutritional Equivalency, And Consumer Acceptance, Rutwick Surya Ulhas, Rajeev Ravindran, Alok Malviya, Anushree Priyadarshini, Brijesh K. Tiwari, Gaurav Rajauria

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Alternate proteins are gaining popularity as a more sustainable and environmentally friendly alternative to animal-based proteins. These proteins are often considered healthier and are suitable for people following a vegetarian or vegan diet. Alternative proteins can be recovered from natural sources like legumes, grains, nuts, and seeds, while single cell proteins (mycoproteins), and algal proteins are being developed using cutting-edge technology to grow fungus, yeast and algal cells in a controlled environment, creating a more sustainable source of protein. Although, the demand for alternative protein products is increasing, there still happens to be a large gap in use among the …

Relative Corporate Social Performance And Cost Of Equity Capital: International Evidence, Benjamin Lynch, Martha O'Hagan-Luff

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This research examines the relationship between firms' corporate social performance (CSP) and the implied cost of equity capital using a sample of 25,938 firm-year observation from 49 countries during the period from 2002 to 2021. Using estimates of the firms' ex ante cost of equity capital, we examine its relationship with industry-relative measures of the firms' CSP, its environmental and social pillars and sub-pillars. We find that increased overall CSP reduces a firm's cost of equity capital up until a point, beyond which the marginal benefits of further CSP investment decrease. We find that the social pillar is the main …

Ecb Unconventional Monetary Policy And Sme Access To Finance, Maria Finnegan, Supriya Kapoor

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Small- and medium-sized enterprises (SMEs) account for two-thirds of employment in the euro area which makes them a priority for the transmission of monetary policy to the real economy. SMEs in Europe experienced a credit crunch following the sovereign debt crisis. Over the period 2014–2019, the European Central Bank (ECB) engaged in unconventional monetary policy (UMP) to restore funding conditions in the euro area, to support stronger economic growth and higher inflation. We use the ECB/EC Survey on the Access to Finance of Enterprises to examine the relationship between monetary policy and SME access to finance in countries that were …

The Onus On Coal Consumption And The ‘Beautiful China Initiative’: Economic And Policy Implications, Daniel Rajmil, Lucia Morales, Bernadette Andreosso-O'Callaghan

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China’s need for rapid economic growth and its hunger for natural resources significantly challenge its economic and policy vision of sustainability, social stability and economic development. The ‘Beautiful China Initiative’ plans to put China on the path of sustainable development in line with the United Nations’ 2030 Agenda and its Sustainable Development Goals. The Chinese authorities are expected to reconsider traditional economic policy models to integrate environmental protection while ensuring that their economy proliferates. The shift from a traditional and heavy coal-dependent economy towards greener energy and a sustainable economic model brings additional challenges to China due to its historical …

Factor Substitution Possibilities, Labor Share Dynamics, And Inequality In An Age Of Intangibles, Adnan Velic

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We examine the economy-wide degree of substitutability between intangible capital and other factor inputs in production using a large sample of advanced countries. In this context, we turn to studying the implications of intangible and tangible capital growth for labor income share dynamics. Compared to tangible capital, we find that intangible capital more strongly complements skilled labor. The analysis further indicates relative fungibility between tangible capital and a composite of intangible capital and skilled labor, in line with the rising prominence of knowledge-intensive tasks and AI-driven online platforms. The intrinsic nature of intangibles and their asymmetric effects across skilled and …

The Power Of Education In A Globalised World: Challenging Geoeconomic Inequalities, Ozéias Rocha, Daniel Kamphambale, Cormac Macmahon, Jon Hans Coetzer, Lucía Morales

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The globalization process has led to significant levels of controversy, as over the past few years, researchers have highlighted its negative connotations in terms of exacerbating economic inequalities, environmental degradation, exploitation of workers, loss of cultural diversity, and negative influence on democratic systems and financial stability. The negative connotation associated with the globalization process is not surprising. The implications for the global educational system significantly dominated by the influence of Western values, culture, and economic models based on consumerism to the detriment of traditional cultural and local identities have been eroded. The world economies are facing emerging areas of significant …

Enforcing Equity Joyce A. Hughes: A Celebration, Daiquiri J. Steele

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No abstract provided.

Religious Liberty For All? A Religious Right To Abortion, Caroline Mala Corbin

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One of the most notable trends in recent Supreme Court jurisprudence is the expansion of religious liberty rights. The right to practice one's faith is a core feature of a democracy, but the Supreme Court has privileged that right over other equally critical ones, most notably the right to equal treatment. Thus, for example, the Court has held that for-profit companies have a religious right to exclude contraception from their health insurance plans and that nonprofit charities have a religious right to refuse to place foster children with same-sex couples. In these and similar cases, the religious beliefs aligned with …

Constructing The ‘Public Interest’: (De)Legitimizing The Acquisition Of Aer Lingus By Iag, Joseph K. Fitzgerald

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This article assesses how the ‘Public Interest’ was used to (de)legitimize the acquisition of a national airline. It does this by adopting a case study approach that analyses the acquisition of Aer Lingus by International Consolidated Airlines Group (IAG). This acquisition is part of a broader trend of international consolidation that the aviation industry has experienced in recent years. The article also critiques whether the ‘Public Interest’ was constructed on valid grounds. Its analysis found that the public interest was constructed as the continuance of routes between Irish airports and London Heathrow as a means for Ireland to maintain international …

Entrepreneurial Competencies In Action: Online Fundraising Initiatives By University Students, Thomas M. Cooney, Martina Brophy

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It has been argued that entrepreneurship educators are inclined to let students learn in a safe controlled environment, with no pressure except to pass the module. Students working in groups of three were given 12 weeks (Target 1) to develop a fundraising initiative, work with various stakeholders, and execute their online fundraising initiative to meet a target goal of €2000 (Target 2) per group. Employing approaches such as Effectuation, Lean Start-Up and the Business Model Canvas, a self-directed learning approach ensured students were able to take ownership of their learning journey with the lecturer acting as coach or facilitator. The …

Developing Entrepreneurial Skillsets Amongst Rural Women In Uganda, Sylvia Gavigan, Thomas M. Cooney, Klavs Ciprikis

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Purpose: Rural women in Africa have less entrepreneurship opportunities than men. This is mainly due to societal expectations of women, but it may also be caused by a lack of entrepreneurial knowledge and skills due to their work in agriculture-related activities. Therefore, the purpose of this study is to examine the impact of entrepreneurship training on entrepreneurial skillsets of rural women working in Uganda and how such training influences their entrepreneurial activity.

Design/methodology/approach: The primary data set for this study comes from surveys of rural women working in agriculture who participated in a specific entrepreneurship training programme in Uganda. A …

Evaluation Of Selenomethionine Entrapped In Nanoparticles For Oral Supplementation Using In Vitro, Ex Vivo And In Vivo Models, Shane Forde, Giuliana Vozza, David J. Brayden, Jesus Maria Frias, Sinead M. Ryan

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Selenium methionine (Se Met) is an essential micronutrient required for normal body function and is associated with additional health benefits. However, oral administration of Se Met can be challenging due to its purported narrow therapeutic index, low oral bioavailability, and high susceptibility to oxidation. To address these issues, Se Met was entrapped in z e i n-coated nanoparticles made from chitosan using an ionic gelation formulation. The high stability of both the Se Met and s e l e n o methionine nanoparticles (Se Met-NPs) was established using cultured human intestinal and liver epithelial cells, rat liver homogenates, and rat …

Analog Holographic Wavefront Sensor For Defocus And Spherical Aberration Measurement Recorded In A Photopolymer, Emma Branigan, Suzanne Martin, Matthew Sheehan, Kevin Murphy

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An analog holographic wavefront sensor (AHWFS), for measurement of low and high order (defocus and spherical aberration) aberration modes has been developed as volume phase holograms in a photopolymer recording medium. This is the first time that high order aberrations such as spherical aberration can be sensed using a volume hologram in a photosensitive medium. Both defocus and spherical aberration were recorded in a multi-mode version of this AHWFS. Refractive elements were used to generate a maximum and minimum phase delay of each aberration which were multiplexed as a set of volume phase holograms in an acrylamide based-photopolymer layer. The …

Building A Better Tomorrow – Bridging The Disconnect Between Policy, Practice, Education And Research In Social Enterprise, Felicity Kelliher, Briga Hynes, Ziene Mottiar

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No abstract provided.