Digital Commons Network^™

The Evolution Of The Internet And Social Media: A Literature Review, Charles Alves De Castro, Isobel O'Reilly Dr, Aiden Carthy

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This article reviews and analyses factors impacting the evolution of the internet, the web, and social media channels, charting historic trends and highlight recent technological developments. The review comprised a deep search using electronic journal databases. Articles were chosen according to specific criteria with a group of 34 papers and books selected for complete reading and deep analysis. The 34 elements were analysed and processed using NVIVO 12 Pro, enabling the creation of dimensions and categories, codes and nodes, identifying the most frequent words, cluster analysis of the terms, and creating a word cloud based on each word's frequency. The …

Evaluating Technology-Mediated Collaborative Workflows For Telehealth, Christopher Bondy Ph.D., Pengcheng Shi, Pamela Grover Md, Vicki Hanson, Linlin Chen, Rui Li

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Goals: This paper discusses the need for a predictable method to evaluate gains and gaps of collaborative technology-mediated workflows and introduces an evaluation framework to address this need. Methods: The Collaborative Space Analysis Framework (CS-AF), introduced in this research, is a cross-disciplinary evaluation method designed to evaluate technology-mediated collaborative workflows. The 5-step CS-AF approach includes: (1) current-state workflow definition, (2) current-state (baseline) workflow assessment, (3) technology-mediated workflow development and deployment, (4) technology-mediated workflow assessment, (5) analysis, and conclusions. For this research, a comprehensive, empirical study of hypertension exam workflow for telehealth was conducted using the CS-AF approach. Results: The CS-AF …

A Framework Of Web-Based Dark Patterns That Can Be Detected Manually Or Automatically, Ioannis Stavrakakis, Andrea Curley, Dympna O'Sullivan, Damian Gordon, Brendan Tierney

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This research explores the design and development of a framework for the detection of Dark Patterns, which are a series of user interface tricks that manipulate users into actions that they do not intend to do, for example, share more data than they want to, or spend more money than they plan to. The interface does this using either deception or other psychological nudges. User Interface experts have categorized a number of these tricks that are commonly used and have called them Dark Patterns. They are typically varied in their form and what they do, and the goal of this …

Transition Administration, Michael Herz, Katherine A. Shaw

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The period from November 3, 2020 to January 20, 2021, was unlike any presidential transition in our history. President Donald Trump refused to accept his ballot-box defeat, instead battling to overturn the election’s outcome. This dramatic public campaign was waged in state and federal courts, state legislatures, the offices of state and local election officials, the Department of Justice, and finally the halls of Congress, where on January 6, 2021, a mob incited by the President stormed the Capitol with the explicit goal of preventing the final counting of electoral votes for Joe Biden. These efforts had more mundane and …

On The Documentation Of Refactoring Types, Eman Abdullah Alomar, Jiaqian Liu, Kenneth Addo, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni, Zhe Yu

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Commit messages are the atomic level of software documentation. They provide a natural language description of the code change and its purpose. Messages are critical for software maintenance and program comprehension. Unlike documenting feature updates and bug fixes, little is known about how developers document their refactoring activities. Specifically, developers can perform multiple refactoring operations, including moving methods, extracting classes, renaming attributes, for various reasons, such as improving software quality, managing technical debt, and removing defects. Yet, there is no systematic study that analyzes the extent to which the documentation of refactoring accurately describes the refactoring operations performed at the …

A Nanoscale Shape-Discovery Framework Supporting Systematic Investigations Of Shape-Dependent Biological Effects And Immunomodulation, Wei Zhang, Hender Lopez, Luca Boselli, Paolo Bigini, André Perez-Potti, Zengchun Xie, Valentina Castagnola, Qi Cai, Camila P. Silveira, Joao M. De Araujo, Laura Talamini, Nicolò Panini, Giuseppe Ristagno, Martina B. Violatto, Stéphanie Devineau, Marco P. Monopoli, Mario Salmona, Valeria A. Giannone, Sandra Lara, Kenneth A. Dawson, Yan Yan

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Since it is now possible to make, in a controlled fashion, an almost unlimited variety of nanostructure shapes, it is of increasing interest to understand the forms of biological control that nanoscale shape allows. However, a priori rational investigation of such a vast universe of shapes appears to present intractable fundamental and practical challenges. This has limited the useful systematic investigation of their biological interactions and the development of innovative nanoscale shape-dependent therapies. Here, we introduce a concept of biologically relevant inductive nanoscale shape discovery and evaluation that is ideally suited to, and will ultimately become, a vehicle for machine …

The Circle Of Life: The Mathematics Of Predator-Prey Dynamics, John Butler, Rebecca Brady

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Some animals hunt other animals to feed themselves; these animals are called predators. Animals who are hunted and eaten are known as prey. What do you think would happen if a predator were introduced to an ecosystem where the prey previously lived without fear of being hunted? Would the new predator eat all the prey animals until they go extinct? Actually, the relationship between predator and prey is far more interesting than this. In this article, we show what the predator-prey relationship looks like over time and explain how scientists can make predictions about future population levels, all using basic …

Explaining Deep Learning Models For Tabular Data Using Layer-Wise Relevance Propagation, Ihsan Ullah, Andre Rios, Vaibhov Gala, Susan Mckeever

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Trust and credibility in machine learning models are bolstered by the ability of a model to explain its decisions. While explainability of deep learning models is a well-known challenge, a further challenge is clarity of the explanation itself for relevant stakeholders of the model. Layer-wise Relevance Propagation (LRP), an established explainability technique developed for deep models in computer vision, provides intuitive human-readable heat maps of input images. We present the novel application of LRP with tabular datasets containing mixed data (categorical and numerical) using a deep neural network (1D-CNN), for Credit Card Fraud detection and Telecom Customer Churn prediction use …

Ethics, Safety, And Autonomous Vehicles, William H. Widen, Philip Koopma, Benjamin Kuipers, Marilyn Wolf

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This roundtable explores the ethical and safety implications of the rapidly evolving technology of autonomous vehicles.

Newgrange Skyscape In Stellarium, Frank Prendergast

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Newgrange Skyscape in Stellarium is a new customised landscape planetarium model giving the user the unique ability to interrogate the dynamic sky above the Boyne Valley on any date of interest during the hours of daylight or darkness. Archaeological, astronomical and topographical points of interest are labelled in the model and visible even during the hours of darkness. These are summarily described in a short gazetteer appended at the end of the instruction document to encourage further exploration of the wonderful heritage found in the Boyne Valley and beyond.

Watch on Youtube: https://www.youtube.com/watch?app=desktop&v=aGPsVGBXkY4

Watch on Vimeo: https://vimeo.com/493351576

Artificial Intelligence-Based Power System Stabilizers For Frequency Stability Enhancement In Multi-Machine Power Systems, Aliyu Sabo, Noor Izzri Abdul Wahab, Mohammad Lutfi Othman, Mai Zurwatul Ahlam Mohd Jaffar, Hakan Acikgoz, Hamed Nafisi, Hossein Shahinzadeh

Articles

Low frequency oscillations (LFOs) occur in a system of interconnected generators connected by weak interconnection. A power system stabilizer (PSS) is commonly used to improve the capacity of the power system dampening. Under a variety of operating conditions, traditional PSSs fail to deliver superior damping. To address this issue, a Farmland Fertility Algorithm (FFA-PSSs controller) was used to solve an optimization problem for optimal design of PSSs system parameters, and its performance efficiency was compared to GA and PSO-based PSSs controllers. In addition to PSS, flexible current transmission (FACTS) devices are widely used. PSSs controllers and FACTS devices are frequently …

Hospital Effluents And Wastewaters Treatment Plants: A Source Of Oxytetracycline And Antimicrobial-Resistant Bacteria In Seafood, Bozena Mccarthy, Samuel Obeng Apori, Michelle Giltrap, Abhijnan Bhat, James Curtin, Furong Tian

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The present study employs a data review on the presence and aggregation of oxytetracycline (OTC) and resistance (AMR) bacteria in wastewater treatment plants (WWTPs), and distribution of the contaminated effluent with the aid of shallow and deep ocean currents. The study aims to determine the fate of OTC, AMR bacteria in seafood, and demonstrate a relationship between AMR levels and human health. This review includes (1) OTC, (2) AMR bacteria, (3) heavy metals in aquatic environments, and their relationship. Few publications describe OCT in surface waters. Although, OTC and other tetracyclines were found in 10 countries in relatively low concentrations, …

A Sinusoidal Signal Reconstruction Method For The Inversion Of The Mel-Spectrogram, Anastasia Natsiou, Sean O'Leary

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The synthesis of sound via deep learning methods has recently received much attention. Some problems for deep learning approaches to sound synthesis relate to the amount of data needed to specify an audio signal and the necessity of preserving both the long and short time coherence of the synthesised signal. Visual time-frequency representations such as the log-mel-spectrogram have gained in popularity. The log- mel-spectrogram is a perceptually informed representation of audio that greatly compresses the amount of information required for the description of the sound. However, because of this compression, this representation is not directly invertible. Both signal processing and …

Corticothalamic Projections Deliver Enhanced Responses To Medial Geniculate Body As A Function Of The Temporal Reliability Of The Stimulus, Srinivasa P Kommajosyula, Edward L Bartlett, Rui Cai, Lynne Ling, Donald M Caspary

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Ageing and challenging signal-in-noise conditions are known to engage the use of cortical resources to help maintain speech understanding. Extensive corticothalamic projections are thought to provide attentional, mnemonic and cognitive-related inputs in support of sensory inferior colliculus (IC) inputs to the medial geniculate body (MGB). Here we show that a decrease in modulation depth, a temporally less distinct periodic acoustic signal, leads to a jittered ascending temporal code, changing MGB unit responses from adapting responses to responses showing repetition enhancement, posited to aid identification of important communication and environmental sounds. Young-adult male Fischer Brown Norway rats, injected with the inhibitory …

Knowtext: Auto-Generated Knowledge Graphs For Custom Domain Applications, Bojan Bozic, Jayadeep Kumar Sasikumar, Tamara Matthews

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While industrial Knowledge Graphs enable information extraction from massive data volumes creating the backbone of the Semantic Web, the specialised, custom designed knowledge graphs focused on enterprise specific information are an emerging trend. We present “KnowText”, an application that performs automatic generation of custom Knowledge Graphs from unstructured text and enables fast information extraction based on graph visualisation and free text query methods designed for non-specialist users. An OWL ontology automatically extracted from text is linked to the knowledge graph and used as a knowledge base. A basic ontological schema is provided including 16 Classes and Data type Properties. The …

Workplace Dispute Resolution In Ireland At A Crossroads: Challenges And Opportunities, Brian M. Barry Dr

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The Workplace Relations Act 2015 fundamentally reformed the workplace dispute resolution system in Ireland–the centrepiece being the Workplace Relations Commission, the new body for first-instance dispute resolution. While the overall system is an improvement on its overly-complex and confusing predecessor, the Supreme Court’s decision in Zalewski v An Adjudication Officer declaring aspects of adjudication at the WRC unconstitutional, coupled with user representatives’ persistent concerns about how adjudication is conducted, present ongoing challenges.

This article describes the results of a survey undertaken in 2019 by the author of over one hundred representatives’ views on the system, and contextualises them in light …

Cutinase From Amycolatopsis Mediterannei: Marked Activation And Stabilisation In Deep Eutectic Solvents, Yeq Tan, Gemma K. Kinsella, Gary T. Henehan, Barry J. Ryan

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Amycolatopsis mediterranei cutinase (AmCut) has potential biocatalytic applications in plastics degradation and ester synthesis. Deep Eutectic Solvents (DES) are next generation biodegradable solvents for biocatalysis. However, the behaviour of cutinase enzymes in DES is little studied. Herein, we examine the effect of selected DES, and their components, on AmCut activity and stability. Low amounts (10% v/v) of DES (choline chloride:glycerol; 1:1 mole ratio) caused striking activation of AmCut (over 2-fold). Further examination showed that the choline chloride component of DES caused the observed activation. This is the first report of activation of a cutinase by a small molecule. At higher …

The Effect Of Green Biobased Binder On Structural, Mechanical, Liquid Absorption And Wetting Properties Of Coated Papers, Bilge N. Altay, Charles Klass, Ting Chen, Alexandar Fleck, Cem Aydemir, Arif Karademir, Paul D. Fleming

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Synthetic styrene-butadiene (SB) and styrene-acrylic (SA) latex binders used in paper coating formulations are common and based on unsustainable petroleum sources. Today's papermaking industry turns towards sustainable substitutes that do not compromise quality, and reduce carbon emission, toxic substance release and waste disposal concerns related to fossil fuel sources. In this study, colloidal starch-based latex nanoparticles that do not require cooking were used for pigment coating and coated on the paper surfaces. The effects of these new biobased binders on the structural and mechanical strength properties, liquid absorption, wetting and surface topography of the paper were investigated and compared with …

Social Media Influencers (Smis) In Context: A Literature Review, Charles Alves De Castro, Isobel O'Reilly Dr, Aiden Carthy

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This review focused on three main areas, "Social Media Influencers (SMIs) in Context, The Impact of SMIs on Adolescents, and Consumer Behaviour in a Digital Era – Generation Z in Perspective". This article aims to further the overall understanding of SMIs and outlines the impact of SMIs on adolescents‘ lives. Thus, the main objective of this literature review is to raise awareness within the marketing field about the influence of social media influencers on adolescents and how brands promote their products and content through social media influencers. The review comprised a regular search using electronic journal databases and secondary data …

On Preserving The Behavior In Software Refactoring: A Systematic Mapping Study, Eman Abdullah Alomar, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni

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Context: Refactoring is the art of modifying the design of a system without altering its behavior. The idea is to reorganize variables, classes and methods to facilitate their future adaptations and comprehension. As the concept of behavior preservation is fundamental for refactoring, several studies, using formal verification, language transformation and dynamic analysis, have been proposed to monitor the execution of refactoring operations and their impact on the program semantics. However, there is no existing study that examines the available behavior preservation strategies for each refactoring operation.

Objective: This paper identifies behavior preservation approaches in the research literature. Method: We conduct, …

The Myth Of The Great Writ, Leah M. Litman

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Habeas corpus is known as the “Great Writ” because it supposedly protects individual liberty against government overreach and guards against wrongful detentions. This idea shapes habeas doctrine, federal courts theories, and habeas-reform proposals.

It is also incomplete. While the writ has sometimes protected individual liberty, it has also served as a vehicle for the legitimation of excesses of governmental power. A more complete picture of the writ emerges when one considers traditionally neglected areas of public law that are often treated as distinct—the law of slavery and freedom, Native American affairs, and immigration. There, habeas has empowered abusive exercises of …

Regulating Mobility Limitations In The Franchise Relationship As Dependency In The Joint Employment Doctrine, Andrew Elmore

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Franchisors often impose exhaustive operational standards on franchisees, and enforce those standards by restricting the mobility of their franchisees and their franchisees' employees. But courts often ignore mobility limits when applying joint employer doctrine. This Article argues that courts and agencies should be more likely to find, and presume, that franchisors and their franchisees are joint employers under federal and state employment law based on proof that a franchisor restricts the mobility of franchisees or their employees. In so doing, this Article traces how the Chicago School's efficiency arguments in favor of relaxing antitrust law enforcement of vertical restraints developed …

Unusual Presentation Of Diffuse Large B-Cell Lymphoma Involving The Calcaneus: A Case Report, Ashley Mariano, Lawrence M. Fallat

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Lymphoma involves malignancy of the lymphatic system which includes the spleen, thymus, bone marrow and lymph nodes. Diffuse large B-cell lymphoma (DLBCL) is an aggressive, rapidly-growing type of non-Hodgkin lymphoma (NHL). We present a case of an 18-year-old male who initially presented with right hindfoot pain and swelling. Initial radiographs revealed no osseous pathology that correlated with the area of pain and swelling. Magnetic resonance imaging (MRI) was obtained which revealed a large soft tissue mass surrounding the calcaneus with cortical erosion and complete marrow replacement of the calcaneus. Due to concern for malignancy, the patient underwent a fluoroscopic-guided biopsy …

Notions Of Explainability And Evaluation Approaches For Explainable Artificial Intelligence, Giulia Vilone, Luca Longo

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Explainable Artificial Intelligence (XAI) has experienced a significant growth over the last few years. This is due to the widespread application of machine learning, particularly deep learning, that has led to the development of highly accurate models that lack explainability and interpretability. A plethora of methods to tackle this problem have been proposed, developed and tested, coupled with several studies attempting to define the concept of explainability and its evaluation. This systematic review contributes to the body of knowledge by clustering all the scientific studies via a hierarchical system that classifies theories and notions related to the concept of explainability …

Towards Greater Investor Accountability: Indirect Actions, Direct Actions By States And Direct Actions By Individuals, Martin Jarrett, Sergio Puig, Steven R. Ratner

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Investor accountability in international investment law (IIL) has been gaining increasing traction in recent years. Most visibly, some states have included investor obligations in their investment treaties, while others have made them part of their model treaties. While highly significant for the substance of IIL, these duties need adequate procedural tools to enforce them. Otherwise, investor obligations will be only decorative features of investment treaties without any legal meaning. The oft-discussed option of counterclaims is limited insofar as it may only be launched after an investor has made a claim against a state. As a result, it is important to …

Audio Representations For Deep Learning In Sound Synthesis: A Review, Anastasia Natsiou, Sean O'Leary

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The rise of deep learning algorithms has led many researchers to withdraw from using classic signal processing methods for sound generation. Deep learning models have achieved expressive voice synthesis, realistic sound textures, and musical notes from virtual instruments. However, the most suitable deep learning architecture is still under investigation. The choice of architecture is tightly coupled to the audio representations. A sound’s original waveform can be too dense and rich for deep learning models to deal with efficiently - and complexity increases training time and computational cost. Also, it does not represent sound in the manner in which it is …

Profiling Food Festivals By Type, Name And Descriptive Content: A Population Level Study, Muhammet Kesgin, Rajendran S. Murthy, Rick Lagiewski

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Purpose: This research aims to classify and describe food festivals and examine the patterns in food festival naming and festival descriptions in online media. Design: This research represents the first population-level empirical examination of food festivals in the United States using a purpose-built dataset (N=2626). Methodology includes text mining to examine food festival communications. Findings: Food festival size varies across local and regional spheres within the country. Food festivals employ geographical (place-, destination-based) associations in their names. Food festivals’ descriptions and online communications showcase a welcoming environment predominantly emphasizing family-oriented and live entertainment experiences. Food festivals across the country show …

Dark Side Of Black Friday: The Major Drawbacks With This Shopping Bonanza, Sarah Schiffling, Nikolaos Valantasis Kanellos

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Black Friday is upon us again. It’s one of the biggest shopping events of the year, although there are mixed signals about how successful it is likely to be in 2021. One recent study found that only a third of consumers plan to take part. The financial strain of COVID-19 is still evident, and inflation running at its highest level in a decade.

All the same, consumer confidence has been rising. According to GlobalData, shoppers are set to spend nearly £9.2 billion in the four days from Black Friday to Cyber Monday. This would still be a big increase …

Medicare Coverage Of Aducanumab - Implications For State Budgets, Rachel E. Sachs, Nicholas Bagley

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Aducanumab (Aduhelm), the controversial $56,000-per-year Alzheimer’s disease drug approved by the Food and Drug Administration (FDA) in June 2021, has the potential to cost the federal government many billions of dollars — more, by one estimate, than it spends on agencies such as the Environmental Protection Agency or the National Aeronautics and Space Administration. The drug’s extraordinary price tag helps explain why, soon after its approval, the Centers for Medicare and Medicaid Services (CMS) opened a national coverage determination to decide whether and under what circumstances Medicare would pay for it.1

Real-Time Bidding Campaigns Optimization Using User Profile Settings, Luis Miralles-Pechuán, Muhammad Atif Qureshi, Brian Mac Namee

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Real-time bidding is nowadays one of the most promising systems in the online advertising ecosystem. In this study, the performance of RTB campaigns is improved by optimising the parameters of the users' profiles and the publishers' websites. Most studies concerning optimising RTB campaigns are focused on the bidding strategy, i.e., estimating the best value for each bid. However, this research focuses on optimising RTB campaigns by finding out configurations that maximise both the number of impressions and the average profitability of the visits. An online campaign configuration generally consists of a set of parameters along with their values such as …