Digital Commons Network^™

Effect Of Cryogenic Treatment On Drill Tool For Enhancing Metal Cutting Operation Of Aluminium Alloy Is737.Gr19000, G. Navaneethakrishnan, B. Sureshkumar, R. Palanisamy, Mohit Bajaj, Hossam Zawbaa, Salah Kamel

Articles

Drilling is the hole making process on the component face with the aid of a twisted drillbit. Normal drill bits easily wear out through penetration of drill bit into the workpiece material due to force generated in the drilling operation. So this work tries to investigate the machining parameters with cryogenically treated drill bits on various responses. Cryogenic treatment is one of the thermal engineering processes, which is used to cool the material from the temperature of −150 °C to −273 °C. This research work utilizes cryogenically treated drill tools for investigating the drilling performance on aluminium alloy (IS737.Gr19000) workpiece …

Using Feature Selection With Machine Learning For Generation Of Insurance Insights, Ayman Taha, Bernard Cosgrave, Susan Mckeever

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Insurance is a data-rich sector, hosting large volumes of customer data that is analysed to evaluate risk. Machine learning techniques are increasingly used in the effective management of insurance risk. Insurance datasets by their nature, however, are often of poor quality with noisy subsets of data (or features). Choosing the right features of data is a significant pre-processing step in the creation of machine learning models. The inclusion of irrelevant and redundant features has been demonstrated to affect the performance of learning models. In this article, we propose a framework for improving predictive machine learning techniques in the insurance sector …

Does Information And Communication Technology Impede Environmental Degradation? Fresh Insights From Non-Parametric Approaches, Tomiwa Sunday Adebayo, Ephraim Bonah Agyekum, Mehmet Altuntas, Sadriddin Khudoyqulov, Hossam Zawbaa, Salah Kamel

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Although ICT has played a critical role in the socio-economic growth of human cultures, it has also brought with it significant environmental risks. Nevertheless, scholars remain divided on this topic; some believe that ICT has had a positive influence on the quality of the environment, while others believe that ICT has created major environmental issues. Hence, this research is another effort to assess the effects of ICT on CO2 emissions in the top 10 ICT nations (Denmark, Japan, Luxemburg, South Korea, Netherlands, Iceland, Norway, Sweden, Switzerland, and the United Kingdom) using a dataset from the period between 1986Q1 and 2019Q4. …

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

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Human mental workload is arguably the most invoked multidimensional construct in Human Factors and Ergonomics, getting momentum also in Neuroscience and Neuroergonomics. Uncertainties exist in its characterization, motivating the design and development of computational models, thus recently and actively receiving support from the discipline of Computer Science. However, its role in human performance prediction is assured. This work is aimed at providing a synthesis of the current state of the art in human mental workload assessment through considerations, definitions, measurement techniques as well as applications, Findings suggest that, despite an increasing number of associated research works, a single, reliable and …

Towards An Inclusive Co-Design Toolkit: Perceptions And Experiences Of Co-Design Stakeholders, Eamon Aswad, Emma Murphy, Claudia Fernandez-Rivera, Sarah Boland

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Participatory design holds great potential for the creation of inclusive technology but existing toolkits and resources to support co-design are not always accessible to designers and co-designers with disabilities. In this paper we present two studies to assist in facilitating the creation of a sustainable, accessible, inclusive co-design toolkit for individuals with intellectual disabilities i) exploration of the perceptions and experiences of lecturers (n =5) and students (n= 5) involved in co-design activities via individual interviews and ii) a protocol and initial findings from focus groups with men and women with intellectual disabilities to inform on best co-design practices (n=15). …

Modeling Cognitive Load As A Self-Supervised Brain Rate With Electroencephalography And Deep Learning, Luca Longo

Articles

The principal reason for measuring mental workload is to quantify the cognitive cost of performing tasks to predict human performance. Unfortunately, a method for assessing mental workload that has general applicability does not exist yet. This is due to the abundance of intuitions and several operational definitions from various fields that disagree about the sources or workload, its attributes, the mechanisms to aggregate these into a general model and their impact on human performance. This research built upon these issues and presents a novel method for mental workload modelling from EEG data employing deep learning. This method is self-supervised, employing …

Improving The Holographic Recording Characteristics Of A Water-Resistant Photosensitive Sol–Gel For Use In Volume Holographic Optical Elements, Brian Rogers, Tatsiana Mikulchyk, Mohamed Oubaha, Dervil Cody, Suzanne Martin, Izabela Naydenova

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Continual improvements to holographic recording materials make the development of volume holographic optical elements increasingly more attainable for applications where highly efficient, lightweight diffractive optical elements can replace conventional optics. A fast-curing, water resistant photosensitive sol–gel capable of volume holographic recording has recently drawn attention for its extreme environmental and physical robustness, in particular its water/moisture and scratch resistance. However, to date, the refractive index modulation has been limited. While water-resistant properties are invaluable in the face of the weathering which many practical systems for outdoor applications will endure, high refractive index modulation is also important in order to facilitate …

Disarmament, Demobilization, And Reintegration In Colombia: Lost Human Rights Opportunities For Ex-Combatants With Disabilities, Minerva Rivas Velarde, Janet E. Lord, Michael Ashley Stein, Thomas Shakespeare

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This article examines whether and how the circumstances of Colombian ex-combatants with disabilities were recognized in the disarmament, demobilization, and reintegration (DDR) processes in the period following the adoption of the 2016 peace agreement. Our results suggest severe procedural and substantive shortcomings during the drafting of the peace agreement and the implementation of the DDR processes that exacerbated the exclusion of ex-combatants with disabilities from available opportunities for their social, economic, and political reintegration. We conclude that a better understanding of the disabling impact of conflict and the exp

Platforms As Blackacres, Thomas E. Kadri

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While writing this Article, I interviewed a journalist who writes stories about harmful technologies. To do this work, he gathers information from websites to reveal trends that online platforms would prefer to hide. His team has exposed how Facebook threatens people's privacy and safety, how Amazon hides cheaper deals from consumers, and how Google diverts political speech from our inboxes. You'd think the journalist might want credit for telling these important stories, but he instead insisted on anonymity when we talked because his lawyer was worried he'd be confessing to breaking the law-to committing the crime and tort of cyber-trespass. …

Law's Gaze, John Felipe Acevedo

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No abstract provided.

Noncitizen Harboring And The Freedom Of Association, Shalini Bhargava Ray

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No abstract provided.

Monitoring And Modelling The Dynamics Of The Cellular Glycolysis Pathway: A Review And Future Perspectives, Nitin Patil, Hugh Byrne, Orla L. Howe, Paul A. Cahill

Articles

Background

The dynamics of the cellular glycolysis pathway underpin cellular function and dysfunction, and therefore ultimately health, disease, diagnostic and therapeutic strategies. Evolving our understanding of this fundamental process and its dynamics remains critical.

Scope of review

This paper reviews the medical relevance of glycolytic pathway in depth and explores the current state of the art for monitoring and modelling the dynamics of the process. The future perspectives of label free, vibrational microspectroscopic techniques to overcome the limitations of the current approaches are considered.

Major conclusions

Vibrational microspectroscopic techniques can potentially operate in the niche area of limitations of other …

Role Of Courts In Ensuring Water Justice In India: Brasilia Declaration On Water Justice And Beyond, Gayathri D. Naik

Articles

Water being a scarce resource, questions of its allocation and distribution, coupled with concerns of its depletion have troubled policy makers, legislators, and judges alike. While, over the years there has been significant development on the discussion surrounding the rights-duty paradigm of water resources, by establishing the obligation of states, discussion surrounding a certain value-based approach to guide the minds of important stakeholders in creating and enforcing policy has gained far less traction comparatively. It is in this context that this paper explores an alternative justice-based approach to water, drawing from the works of Amartya Sen on capabilities and more …

Violence Everywhere: How The Current Spectacle Of Black Suffering, Police Violence, And The Violence Of Judicial Interpretation Undermine The Rule Of Law, David B. Owens

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No abstract provided.

The Injustice Of 1.5°C–2°C: The Need For A Scientifically Based Standard Of Fundamental Rights Protection In Constitutional Climate Change Cases, Andrea K. Rodgers, Lauren E. Sancken, Jennifer Marlow

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In 2015, signatories to the Paris Agreement agreed to the goal of keeping global temperature rise this century to well below 2°C above preindustrial levels and to pursue efforts to limit the temperature increase even further to 1.5°C. Although the adoption of the Paris Agreement was in many ways a political triumph, seven years later many climate advocates are presenting the Paris target to judicial bodies as the de facto legal standard for fundamental rights protection in climate change cases. Yet, the history leading up to the signatories’ ultimate adoption of the Paris Agreement target suggests that the target is …

Modeling Through, Ryan Calo

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Theorists of justice have long imagined a decision-maker capable of acting wisely in every circumstance. Policymakers seldom live up to this ideal. They face well-understood limits, including an inability to anticipate the societal impacts of state intervention along a range of dimensions and values. Policymakers cannot see around corners or address societal problems at their roots. When it comes to regulation and policy-setting, policymakers are often forced, in the memorable words of political economist Charles Lindblom, to “muddle through” as best they can.

Powerful new affordances, from supercomputing to artificial intelligence, have arisen in the decades since Lindblom’s 1959 article …

An Audio Processing Pipeline For Acquiring Diagnostic Quality Heart Sounds Via Mobile Phone, Davoud Shariat Panah, Andrew Hines, Joseph Mckeever, Susan Mckeever

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Recently, heart sound signals captured using mobile phones have been employed to develop data-driven heart disease detection systems. Such signals are generally captured in person by trained clinicians who can determine if the recorded heart sounds are of diagnosable quality. However, mobile phones have the potential to support heart health diagnostics, even where access to trained medical professionals is limited. To adopt mobile phones as self-diagnostic tools for the masses, we would need to have a mechanism to automatically establish that heart sounds recorded by non-expert users in uncontrolled conditions have the required quality for diagnostic purposes. This paper proposes …

An Improved Wild Horse Optimization Algorithm For Reliability Based Optimal Dg Planning Of Radial Distribution Networks, Mohammed Hamouda Ali, Salah Kamel, Mohamed H. Hassan, Marcos Tostado-Véliz, Hossam Zawbaa

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This paper introduces a novel technique for optimal distribution system (DS) planning with distributed generation (DG) systems. It is being done to see how active and reactive power injections affect the system’s voltage profile and energy losses. DG penetration in the power systems is one approach that has several advantages such as peak savings, loss lessening, voltage profile amelioration. It also intends to increase system reliability, stability, and security. The main goal of optimal distributed generation (ODG) is a guarantee to achieve the benefits mentioned previously to increase the overall system efficiency. For extremely vast and complicated systems, analytical approaches …

Advancing Competency In Managing Risk And Knowledge: Steps Toward Operationalisation Of The Risk-Knowledge Infinity Cycle (Rki Cycle) - Part 1: Improving Effectiveness Of Risk-Based Decision Making (Rbdm), Martin Lipa, Paige Kane, Anne Greene

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To date, literature on the Risk-Knowledge Infinity Cycle (RKI Cycle) has mainly been theoretical. This paper series intent is to focus on the operationalisation of the RKI Cycle by describing a series of steps – the “How to” – for RKI Cycle deployment, to help move the RKI Cycle from theory to practice. The first paper in this series focuses on how the RKI Cycle can support effective Risk-Based Decision Making (RBDM).

First Long-Time Airborne Fungal Spores Study In Dublin, Ireland (1978–1980), Moisés Martínez-Bracero, Emma Markey, Jerry Hourihane Clancy, John Sodeau, David J. O'Connor

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Ambient fungal spores within the atmosphere can contribute to a range of negative human, animal and plant health conditions and diseases. However, trends in fungal spore seasonality, species prevalence, and geographical origin have been significantly understudied in Ireland. Previously unpublished data from the late 1970s have recently been collected and analysed to establish historical fungal spore trends/characteristics for Dublin. Historical spore concentrations were largely dominated by Alternaria, Ascospores, Basidiospores, Botrytis, Cladosporium, Erysiphe and Rusts. The main fungal spore season for Dublin commenced in April with the fructification of Scopulariopsis and Ganoderma. However, the vast majority of other spore types did …

Airborne Fungal Spore Review, New Advances And Automatisation, Moisés Martínez-Bracero, Emma Markey, Jerry Hourihane Clancy, Eoin Mcgillicuddy, Gavin Sewell, David J. O'Connor

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Fungal spores make up a significant portion of Primary Biological Aerosol Particles (PBAPs) with large quantities of such particles noted in the air. Fungal particles are of interest because of their potential to affect the health of both plants and humans. They are omnipresent in the atmosphere year-round, with concentrations varying due to meteorological parameters and location. Equally, differences between indoor and outdoor fungal spore concentrations and dispersal play an important role in occupational health. This review attempts to summarise the different spore sampling methods, identify the most important spore types in terms of negative effects on crops and the …

Analysis Of Copper(Ii) Using The Ascorbate/Oxygen System – A Valuable Undergraduate Resource, Sean Tobin, John Cassidy, Kevin Kurian, Tony Betts

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In deionised water, ascorbic acid (AH−), through oxidation by oxygen in the presence of copper(II), was found to degrade with zero-order kinetics. The magnitude of the reaction rate varied directly with the copper(II) concentration. At a higher pH (7.4), the same reaction was found to be pseudo-first order. Once again, the magnitude of the rate increased linearly with copper(II) concentration at a micromolar level. Dissolved oxygen levels, in excess AH− and trace copper(II), displayed similar kinetics under both conditions. Monitoring of either AH− levels or dissolved oxygen concentration was found to be a useful novel undergraduate practical laboratory for trace …

Investigation Of The Suitability Of A Commercial Radiation Sensor For Pretherapy Dosimetry Of Radioiodine Treatment Patients, Janet O'Callaghan, Dervil Cody, Jennie Cody

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Radioiodine (I-131) therapy is routinely used to treat conditions of the thyroid. Dosimetry planning in advance of I-131 therapy has been shown to improve patient treatment outcomes. However, this pretherapy dosimetry step requires multiple outpatient appointments and is not feasible for patients living at greater distances. Here, the feasibility of a commercially available smartphone-operated radiation sensor (Smart Geiger Pro, Technonia) for at-home patient pretherapy dosimetry has been investigated. The influence of both treatment-specific parameters (radioisotope activity, gamma photon energy, patient size) and external factors (sensor placement and motion) on the ability of the radiation sensor to accurately quantify radiation dose …

Preprocessing Strategies For Sparse Infrared Spectroscopy: A Case Study On Cartilage Diagnostics, Valeria Tafintseva, Tiril Aurora Lintvedt, Johanne Heitmann Solheim, Boris Zimmermann, Hafeez Ur Rehman, Vesa Virtanen, Rubina Shaikh, Ervin Nippolainen, Isaac Afara, Simo Saarakkala, Lassi Rieppo, Patrick Krebs, Polina Fomina, Boris Mizaikoff, Achim Kohler

Articles

The aim of the study was to optimize preprocessing of sparse infrared spectral data. The sparse data were obtained by reducing broadband Fourier transform infrared attenuated total re-flectance spectra of bovine and human cartilage, as well as of simulated spectral data, comprising several thousand spectral variables into datasets comprising only seven spectral variables. Different preprocessing approaches were compared, including simple baseline correction and normalization procedures, and model-based preprocessing, such as multiplicative signal correction (MSC). The optimal preprocessing was selected based on the quality of classification models established by partial least squares discriminant analysis for discriminating healthy and damaged cartilage samples. …

Deep Residual Policy Reinforcement Learning As A Corrective Term In Process Control For Alarm Reduction: A Preliminary Report, Ammar N. Abbas, Georgios C. Chasparis, John Kelleher

Articles

Conventional process controllers (such as proportional integral derivative controllers and model predictive controllers) are simple and effective once they have been calibrated for a given system. However, it is difficult and costly to re-tune these controllers if the system deviates from its normal conditions and starts to deteriorate. Recently, reinforcement learning has shown a significant improvement in learning process control policies through direct interaction with a system, without the need of a process model or the system characteristics, as it learns the optimal control by interacting with the environment directly. However, developing such a black-box system is a challenge when …

Impacts Of Covid-19 Lockdown On Private Domestic Groundwater Sample Numbers, E. Coli Presence And E. Coli Concentration Across Ontario, January 2020–March 2021: An Interrupted Time-Series Analysis, T. Latchmore, S. Lavallee, Martin Boudou, K. Mcdermott, R. S. Brown, Paul Hynds, Anna Majury

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Approximately 1.5 million individuals in Ontario are supplied by private water wells (private groundwater supplies). Unlike municipal supplies, private well water quality remains unregulated, with owners responsible for testing, treating, and maintaining their own water supplies. The COVID-19 global pandemic and associated non-pharmaceutical interventions (NPIs) have impacted many environmental (e.g., surface water and air quality) and human (e.g., healthcare, transportation) systems over the past 15-months (January 2020 to March 2021). To date, the impact of these interventions on private groundwater systems remains largely unknown. Accordingly, the current study aimed to investigate the impact of a province-wide COVID-19 lockdown (late-March 2020) …

In-Flow Dynamics Of An Area-Difference-Energy Spring-Particle Red Blood Cell Model On Non-Uniform Grids, Brendan Walsh, Fergal Boyle

Articles

In this paper the area-difference-energy spring-particle (ADE-SP) red blood cell (RBC) structural model developed by Chen and Boyle is coupled with a lattice Boltzmann flux solver to simulate RBC dynamics. The novel ADE-SP model accounts for bending resistance due to the membrane area difference of RBCs while the lattice Boltzmann flux solver offers reduced computational runtimes through GPU parallelisation and enabling the employment of non-uniform meshes. This coupled model is used to simulate RBC dynamics and predictions are compared with existing experimental measurements. The simulations successfully predict tumbling, tank-treading, swinging and intermittent behaviour of an RBC in shear flow, and …

Determining Realistic U-Values To Substitute Default U-Values In Epc Database To Make More Representative; A Case-Study In Ireland., Kumar Raushan, Ciara Ahern, Brian Norton

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Energy Performance Certificates (EPCs) are the foremost source of information on the energy performance of the EU’s building stock. Inherent in all EPC methodologies are trade-offs between reproducibility, accuracy, assessor expertise and costs. During an assessment, where accurate building data acquisition would be excessively invasive or costly, nationally specified default values are used.

Default values are necessarily pessimistic to; avoid a better-than-merited rating, enable homeowners to know the advantage of energetic refurbishment, encourage homeowners to record upgrades informing EPCs, and propel assessors to seek-out information to provide an accurate rating.

This work reviews default U-value use across Europe and the …

Telehealth Delivery Of A Multi-Disciplinary Rehabilitation Programme For Upper Gastro-Intestinal Cancer: Restore@Home Feasibility Study, Louise Brennan, Fatemeh Sadeghi, Linda O'Neill, Emer Guinan, Laura Smith, Graine Sheill, Suzanne Doyle, Claire M. Timon, Deirdre Connolly, Jacintha O'Sullivan, John V. Reynolds, Juliette Hussey

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Advances in diagnosis and the treatment for upper gastro-intestinal (UGI) cancers have led to improved survival rates and, consequently, to a larger population of survivors of many types of UGI cancer [1,2]. Progress in survivorship care for UGI cancer remains poor, and many survivors experience ongoing negative physical and psychosocial impacts of treatment, which can have profound and long-term impacts on physical function and quality of life (QOL) [3,4]. At one year post-op, 40% of survivors report poor physical function, and significant reductions in walking distance, cardiorespiratory fitness and muscle strength are observed, along with a high prevalence of fatigue …

Mapping The Dna Damaging Effects Of Polypyridyl Copper Complexes With Dna Electrochemical Biosensors, Anna Banasiak, Nicolò Zuin Fantoni, Andrew Kellett, John Colleran

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Several classes of copper complexes are known to induce oxidative DNA damage that mediates cell death. These compounds are potentially useful anticancer agents and detailed investigation can reveal the mode of DNA interaction, binding strength, and type of oxidative lesion formed. We recently reported the development of a DNA electrochemical biosensor employed to quantify the DNA cleavage activity of the well-studied [Cu(phen)₂]²⁺ chemical nuclease. However, to validate the broader compatibility of this sensor for use with more diverse—and biologically compatible—copper complexes, and to probe its use from a drug discovery perspective, analysis involving new compound libraries is …