Digital Commons Network^™

Pvpbc: Privacy- And Verifiability-Preserving E-Voting Based On Permissioned Blockchain, Muntadher Sallal, Ruairí De Fréin, Ali Malik

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Privacy and verifiability are crucial security requirements in e-voting systems and combining them is considered to be a challenge given that they seem to be contradictory. On one hand, privacy means that cast votes cannot be traced to the corresponding voters. On the other hand, linkability of voters and their votes is a requirement of verifiability which has the consequence that a voter is able to check their vote in the election result. These two contradictory features can be addressed by adopting privacy-preserving cryptographic primitives, which at the same time as achieving privacy, achieve verifiability. Many end-to-end schemes that support …

Enhanced Internal Coating Structure And Light Reflectance Of Coated Papers: A Sludge Valorization Process, Bilge N. Altay, Anamika Huq, Burak Aksoy, Richard Hailstone, Muslum Demir, Cem Aydemir, Arif Karademir, Scott Williams

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Paper mill sludge (PMS) is a high-volume waste of the pulppapermaking industry, containing cellulose fibers. This paper introduces cellulose nanofibers extracted from PMS (CNFsPMS) and their application in paper coatings using a wire-wound coating method to enhance internal and optical properties of paper. Three factors were investigated: (i) CNFsPMS amount, (ii) number of layers, and (iii) surface treatment via a 4 × 2 × 2 factorial design. The experimental responses were tracked by fundamentally important internal properties including porosity, air permeability, thickness, roughness, and optical properties of brightness, gloss, and CIE L*a*b* color coordination. The results showed that CNFPMS enhances …

Precise And Analytical Calculation Of Interface Surface Area In Sharp Interfaces And Multiphase Modeling, Simon P. Shipkowski, Isaac Bernabe Perez Raya

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Various kinds of Piecewise Linear Interface Calculations (PLIC) are commonly used in Computational Fluid Dynamics (CFD) for multiphase flows. Here, a new method is proposed to calculate the interface size for CFD simulations. This PLIC method with the modifier, Analytic Size Based [method], (PLIC-ASB), being that the calculation requires a symbolic equation and no approximation or numerical methods. The primary advantage of the PLIC-ASB is maintaining a sharp interface and providing for physics-based (not iterative or empirically derived factors) mass transfer due to the cell-by-cell accuracy. Along with the sharp interface, this method leads to precise interface displacements and suppresses …

Pilot Study Of The Association Between Microbiome And The Development Of Adverse Posttraumatic Neuropsychiatric Sequelae After Traumatic Stress Exposure, Abigail L. Zeamer, Marie-Claire Salive, Xinming An, Stacey L. House, Francesca L. Beaudoin, Jennifer S. Stevens, Donglin Zeng, Thomas C. Neylan, Gari D. Clifford, Robert A. Swor

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Background Patients exposed to trauma often experience high rates of adverse post-traumatic neuropsychiatric sequelae (APNS). The biologic mechanisms promoting APNS are currently unknown, but the microbiota-gut-brain axis offers an avenue to understanding mechanisms as well as possibilities for intervention. Microbiome composition at the time of trauma exposure has been poorly examined regarding neuropsychiatric outcomes. We aimed to determine whether baseline the gut microbiomes of trauma-exposed emergency department patients who later develop APNS have dysfunctional gut microbiome profiles and discover potential associated mechanisms.

Methods We performed metagenomic analysis on stool samples (n=51) from a subset of adults enrolled in the Advancing …

An Evaluation Of A Computational Technique For Measuring The Embeddedness Of Sustainability In The Curriculum Aligned To Aashe-Stars And The United Nations Sustainable Development Goals, Philippe Lemarchand, Cormac H. Macmahon Dr, Mick Mckeever, Philip Owende

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Introduction: SDG 4.7 mandates university contributions to the United Nations (UN) Sustainable Development Goals (SDGs) through their education provisions. Hence, universities increasingly assess their curricular alignment to the SDGs. A common approach to the assessment is to identify keywords associated with specific SDGs and to analyze for their presence in the curriculum. An inherent challenge is associating the identified keywords as used in the diverse set of curricular contexts to relevant sustainability indicators; hence, the urgent need for more systematic assessment as SDG implementation passes its mid-cycle.

Method: In this study, a more nuanced technique was evaluated with notable capabilities …

Microsoft's Cost-Sharing Arrangement: Frankenstein Strikes Again, Stephen L. Curtis, Reuven S. Avi-Yonah

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This paper performs a forensic analysis of Microsoft Corporation’s transfer pricing cost sharing arrangement based on forensic economic analysis of public and information, including Microsoft’s SEC and foreign country regulatory filings, documents disclosed during a recent federal court trial, materials published by Microsoft, and information from former insiders interviewed for this paper, and other sources. The paper finds that Microsoft appears to have violated U.S. transfer pricing laws in 2009 and later years, in ways that caused its transfer pricing cost sharing arrangement with its Irish, Singaporean and Puerto Rican affiliates under U.S. tax laws to be invalid. However IRS …

Digital Tax Arithmetic., James R. Hines Jr.

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More than 20 countries recently adopted digital services taxes, with many others threatening to do so. The Organisation for Economic Co-operation and Development (OECD) is attempting to convince countries to withdraw their digital taxes in return for an international agreement to implement its Pillar One proposal that would let countries tax prorated shares of the profits of foreign firms with local sales. This paper identifies incentives that countries have to impose inefficiently high rates of digital taxes and calls attention to shortcomings of the OECD’s formulary apportionment alternative. Diverging interests and the inflexible nature of the multilateral bargaining process make …

Fables Of Scarcity In Ip, Zahr K. Said

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In this chapter, I use methods drawn from literary analysis to bear on artificial scarcity and explore how literary and legal storytelling engages in scarcity mongering. I find three particular narrative strategies calculated to compel a conclusion in favor of propertization: the spectacle of need, the diversionary tactic, and the rallying cry. First, I unpack the spectacle of need and its diversionary aspects through several literary accounts of scarcity and starvation. I juxtapose Franz Kafka's “A Hunger Artist,” a story explicitly centered on a wasting body, with J.M. Coetzee's The Life and Times of Michael K. Second, to explore how …

Brief Of Tribal Nations And Indian Organizations As Amici Curiae In Support Of The Navajo Nation, Dylan R. Hedden-Nicely

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No abstract provided.

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 …

Cognitive Software Defined Networking And Network Function Virtualization And Applications, Sachin Sharma, Avishek Nag

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The emergence of Software-Defined Networking (SDN) and Network Function Virtualization (NFV) has revolutionized the Internet. Using SDN, network devices can be controlled from a centralized, programmable control plane that is decoupled from their data plane, whereas with NFV, network functions (such as network address translation, firewall, and intrusion detection) can be virtualized instead of being implemented on proprietary hardware. In addition, Artificial Intelligence (AI) and Machine Learning (ML) techniques will be key to automating network operations and enhancing customer service. Many of the challenges behind SDN and NFV are currently being investigated in several projects all over the world using …

Implant Failure In Orthopaedics: Law Does Not Hold The Surgeon Accountable, J. Terrence Jose Jerome, Arpitha Hc, Ov Nandimath

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Excerpt: "It has been the practice of most patients to hold surgeons responsible for any manufacturing defect in an implant that was carried out and accountable for deficiency of services and sue them for medical negligence."

Nanoclays‑Containing Bio‑Based Packaging Materials: Properties, Applications, Safety, And Regulatory Issues, Kalpani Y. Perera, Maille Hopkins, Amit K. Jaiswal Dr, Swarna Jaiswal

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Food packaging is an important concept for consumer satisfaction and the increased shelf life of food products. The introduction of novel food packaging materials has become an emerging trend in recent years, which could be mainly due to environmental pollution caused by plastic packaging and to reduce food waste. Recently, numerous studies have been carried out on nanoclays or nanolayered silicate to be used in packaging material development as reinforcing filler composites. Different types of nanoclays have been used as food packaging materials, while montmorillonite (MMT), halloysite, bentonite (BT), Cloisite, and organically modified nanoclays have become of great interest. The …

Fair4pghd: A Framework For Fair Implementation Over Pghd, Abdullahi Abubakar Kawu, Dympna O'Sullivan, Lucy Hederman, Mirjam Van Reisen

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Patient Generated Health Data (PGHD) are being considered for integration with health facilities, however little is known about how such data can be made machine-actionable in a way that meets FAIR guidelines. This article proposes a 5-stage framework that can be used to achieve this.

Supporting Compliance Of Occupational Safety And Health Requirements - European Labour Inspection Systems Of Sanctions And Standardised Measures, Victor Hrymak

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European legislation for occupational safety and health (OSH) is based on the prevention of accidents and ill health. Apart from European directives, all Member States have national laws and strategies and expect enterprises to implement this preventative ethos, and thereby ensure adequate performance in OSH. Labour Inspectorates monitor and if necessary enforce these laws by deploying individual Labour Inspectors to chosen enterprises. If workplace safety and health conditions are found to be substandard, Labour Inspectors are expected to improve the situation using persuasion and, if necessary, their authority to compel enterprises through specific sanction powers. Bruhn (2009) describes this interaction …

Probability Distributions Arising In Connection With The Inspection Paradox For The Poisson Process, James E. Marengo, Anne Marino Himes, David L. Farnsworth, W. Cade Reinberger

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The Inspection Paradox refers to the fact that in a Renewal Process, the length of the interarrival period which contains a fixed time is stochastically larger than the length of a typical interarrival period. To provide a more complete understanding of this phenomenon, conditioning arguments are used to obtain the distributions and moments of the lengths of the interarrival periods other than the one containing this fixed time for the case of the time-homogeneous Poisson Process. Distributions of the waiting times for events that occur both before and after this fixed time are derived. This provides a fairly complete probabilistic …

Modeling And Fitting Two-Way Tables Containing Outliers, David L. Farnsworth

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A model is proposed for two-way tables of measurement data containing outliers. The two independent variables are categorical and error free. Neither missing values nor replication are present. The model consists of the sum of a customary additive part that can be fit using least squares and a part that is composed of outliers. Recommendations are made for methods for identifying cells containing outliers and for fitting the model. A graph of the observations is used to determine the outliers’ locations. For all cells containing an outlier, replacement values are determined simultaneously using a classical missing-data tool. The result is …

Editorial: Green Chemistry Biocatalysis, Barry J. Ryan, Gary T. Henehan, Bekir E. Eser, Ning Li, Zheng Guo, Gemma K. Kinsella

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Editorial on the Research Topic: Green chemistry biocatalysis

Mitigating Catastrophe Risk For Landowners, Stewart E. Sterk

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Local, national, and global catastrophes entail significant risk for landowners. The government-sponsored National Flood Insurance Program illustrates how subsidizing insurance against catastrophe risk can result in overinvestment in risk-prone properties. Government intervention, however, has largely been a response to the historical failure of the private insurance industry to provide adequate protection against correlated risks, a failure with the potential to generate underinvestment in land and devastate existing owners.

When data is available about the incidence and severity of potential disasters, improvements in technology have made it more feasible for insurers to calibrate premiums and discounts with greater accuracy, and sophisticated …

A Multiple Association-Based Unsupervised Feature Selection Algorithm For Mixed Data Sets, Ayman Taha, Ali S. Hadi, Bernard Cosgrave, Susan Mckeever

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Companies have an increasing access to very large datasets within their domain. Analysing these datasets often requires the application of feature selection techniques in order to reduce the dimensionality of the data and prioritise features for downstream knowledge generation tasks. Effective feature selection is a key part of clustering, regression and classification. It presents a myriad of opportunities to improve the machine learning pipeline: eliminating redundant and irrelevant features, reducing model over-fitting, faster model training times and more explainable models. By contrast, and despite the widespread availability and use of categorical data in practice, feature selection for categorical and/or mixed …

Visual Literacy Of Molecular Biology Revealed Through A Card-Sorting Task, Dina L. Newman, Hannah Spector, Anna Neuenschwander, Anna J. Miller, Lauren Trumpore, Leslie Kate Wright

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Visual literacy, which is the ability to effectively identify, interpret, evaluate, use, and create images and visual media, is an important aspect of science literacy. As molecular processes are not directly observable, researchers and educators rely on visual representations (e.g., drawings) to communicate ideas in biology. How learners interpret and organize those numerous diagrams is related to their underlying knowledge about biology and their skills in visual literacy. Furthermore, it is not always obvious how and why learners interpret diagrams in the way they do (especially if their interpretations are unexpected), as it is not possible to “see” inside the …

The Infrastructure Metaverse Already Exists, Ankur Mitra, Ahmed Hassan, Mark Mulville

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The construction industry is currently undergoing a profound digital transformation, primarily driven by the innovative concept of digital twins. The United Kingdom's National Digital Twin Programme (NDTp) stands as a visionary initiative striving to establish a cohesive digital ecosystem wherein all forms of infrastructure, both existing and newly constructed, are replicated in the digital realm. Digital twins are not merely static visual representations; they serve as the cornerstone for a comprehensive information management framework that enables real-time data sharing. This data-sharing capability spans the entire lifecycle of construction projects. What makes this technology particularly powerful is its capacity to facilitate …

Current Topics In Technology-Enabled Stroke Rehabilitation And Reintegration: A Scoping Review And Content Analysis, Katryna Cisek

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Background. There is a worldwide health crisis stemming from the rising incidence of various debilitating chronic diseases, with stroke as a leading contributor. Chronic stroke management encompasses rehabilitation and reintegration, and can require decades of personalized medicine and care. Information technology (IT) tools have the potential to support individuals managing chronic stroke symptoms. Objectives. This scoping review identifies prevalent topics and concepts in research literature on IT technology for stroke rehabilitation and reintegration, utilizing content analysis, based on topic modelling techniques from natural language processing to identify gaps in this literature. Eligibility Criteria. Our methodological search initially identified over 14,000 …

Deep Learning Framework For Intelligent Pavement Condition Rating: A Direct Classification Approach For Regional And Local Roads, Waqar Shahid Qureshi, David Power, Ihsan Ullah, Brian Mulry, Kieran Feighan, Susan Mckeever, Dympna O'Sullivan

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Transport authorities rely on pavement characteristics to determine a pavement condition rating index. However, manually computing ratings can be a tedious, subjective, time-consuming, and training-intensive process. This paper presents a deep-learning framework for automatically rating the condition of rural road pavements using digital images captured from a dashboard-mounted camera. The framework includes pavement segmentation, data cleaning, image cropping and resizing, and pavement condition rating classification. A dataset of images, captured from diverse roads in Ireland and rated by two expert raters using the pavement surface condition index (PSCI) scale, was created. Deep-learning models were developed to perform pavement segmentation and …

Effect Of Ultrasound-Assisted Thin Bed Drying For Retaining The Quality Of Red Bell Pepper And Compare The Predictive Ability Of The Mathematical Model With Artificial Neural Network, Raju Sasikumar, Irengbam Barun Mangang, Kamchampati Vivek, Amit K. Jaiswal

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Red bell peppers (Capsicum ann. L.) are low in calories and high in nutrients, including vitamins A and C. Various factors such as weight loss, senescence, and microbial influence affect their quality during storage. To address this, the present study aims to preserve and retain the quality of red bell peppers using ultrasound-assisted thin-bed drying. The results were analyzed using an Artificial Neural Network (ANN) for more accurate prediction of variables involved in the process. Variations in moisture ratio and moisture content during drying were calculated and predicted. The Mid. model provided satisfactory curve fitting at an air velocity of …

Electromechanical Coupling In Collagen Measured Under Increasing Relative Humidity, Arwa Bazaid, Fengyuan Zhang, Qiancheng Zhang, Sabine Neumayer, Denise Denning, Stefan Habelitz, Ana Marina Ferreira, Brian J. Rodriguez

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The functional role of collagen piezoelectricity has been under debate since the discovery of piezoelectricity in bone in 1957. The possibility that piezoelectricity plays a role in bone remodelling has generated interest in the investigation of this effect in relevant physiological conditions; however, there are conflicting reports as to whether collagen is piezoelectric in a humid environment. In macroscale measurements, the piezoelectricity in hydrated tendon has been shown to be insignificant compared to dehydrated tendon, whereas, at the nanoscale, the piezoelectric effect has been observed in both dry and wet bone using piezo response force microscopy (PFM). In this work, …

Influence Of Physical And Mechanical Parameters On Cavitation Erosion And Antifouling Behaviour Of Multilayer Silica-Based Hybrid Sol–Gel Coatings On Aluminium Alloys, Manasa Hegde, Marta Mroczkowska, Joseph Mohan, Adriana Cunha Neves, Yvonne Kavanagh, Brendan Duffy, Edmond F. Tobin

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Sol–gel coatings can provide anti-fouling and erosion resistance while being safe to use in the marine environment. MAPTMS/ZPO multilayer coatings deposited on the AA2024-T3 aluminium surface using the dip-coating method at three different thicknesses (2, 4, and 6 m) are investigated in this work. The coatings are characterised in terms of physical and mechanical properties, and these properties are investigated in comparison to previously obtained cavitation erosion resistance levels of the coatings. Additionally, the efficiency of the coatings against biofouling was assessed using Phaeodactylum tricornutum, a marine diatom. The influence of the formation of organic–inorganic hybrid materials (OIHMs) from the …

Towards An Inclusive And Representative Academic Landscape, Linn Leppert, Katalin Solymosi, Yvonne Galligan

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This article is a summary of a panel discussion entitled ‘Towards an inclusive and representative academic landscape’, held at the Building Bridges Meeting of Academia Europaea and the Young Academy of Europe on 26 October 2022. The panellists were Professor Yvonne Galligan, director of Equality, Diversity and Inclusion and Professor of Comparative Politics at the Technological University Dublin, Dr Katalin Solymosi, plant biologist, assistant professor at Eötvös Loránd University and vice-chair of the Young Academy of Europe, and Professor Stephen Curry, Assistant Provost for Equality, Diversity and Inclusion and Professor of Structural Biology at Imperial College London. Dr Linn Leppert, …

The Future Of Clinical Trials Of Myopia Control, Mark A. Bullimore, Noel A. Brennan, Daniel I. Flintcroft

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In the field of myopia control, effective optical or pharmaceutical therapies are now available to patients in many markets. This creates challenges for the conduct of placebo-controlled, randomised clinical trials, including ethics, recruitment, retention, selective loss of faster progressors and non-protocol treatments: 1. Ethics: It is valid to question whether withholding treatment in control subjects is ethical. 2. Recruitment: Availability of treatments is making recruitment into clinical trials more difficult. 3. Retention: If masking is not possible, parents may immediately withdraw their child if randomised to no treatment. 4. Selective loss: Withdrawal of fast progressors in the control group leading …

Cavitation Erosion And Corrosion Resistance Of Hydrophobic Sol-Gel Coatings On Aluminium Alloy, Manasa Hegde, Joseph Mohan, Muhammad Qasim Mushtaq Warraich, Yvonne Kavanagh, Brendan Duffy, Edmond F. Tobin

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Cavitation erosion and erosion-corrosion are the popular failure modes of hydronautics components namely propellers, valves, turbines etc which occurs due to mechanical destructions and electrochemical corrosion. Erosion corrosion is caused due to surge in the number of solid particles affecting the surfaces whereas cavitation erosion is caused due to steady collapse of cavities or bubbles. Aluminium alloys are widely used in marine renewable industries owing to its high strength, light weight and good corrosion resistance. Despite that, cavitation and erosion-corrosion are the limiting factors for these alloys. The aim of the present work is to produce a coating system capable …