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2020

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What Do Professional Drivers Think About Their Profession? An Examination Of Factors Contributing To The Driver Shortage, Chao Ji Hyland, Declan Allen Jan 2020

What Do Professional Drivers Think About Their Profession? An Examination Of Factors Contributing To The Driver Shortage, Chao Ji Hyland, Declan Allen

Articles

A shortage of qualified and available professional drivers in the Freight, Transport, Distribution and Logistics (FTDL) sector is becoming an area of increasing concern in Ireland, and across the European mainland. This paper applies a two-stage research approach to address the issues causing the driver shortage and to analyse contributing factors. The findings reveal that remuneration and salaries are detrimental to recruitment and retention. While driver wellbeing in terms of physical and mental health is a major issue, little support is provided for training and education. There is a relationship between a driver’s age group and job satisfaction, and between …

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The Relationship Between Financial Distress And Well-Being: Exploring The Role Of Self-Employment, Jenny Berrill, Damien Cassells, Martha O’Hagan-Luff, André Van Stel Jan 2020

The Relationship Between Financial Distress And Well-Being: Exploring The Role Of Self-Employment, Jenny Berrill, Damien Cassells, Martha O’Hagan-Luff, André Van Stel

Articles

No abstract provided.

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Lattice Boltzmann Method For 2d And 3d Flows In Channels And Ducts With Slip And No-Slip Walls, Zainab Ali Bu Sinnah Jan 2020

Lattice Boltzmann Method For 2d And 3d Flows In Channels And Ducts With Slip And No-Slip Walls, Zainab Ali Bu Sinnah

School of Engineering, Computing and Mathematics Theses

The aim of this thesis is to study the Lattice Boltzmann method for fluid dynamics by using moment based boundary condition to implement no-slip and partial slip boundary conditions in two and three dimensions. The main topics are the theory of the Lattice Boltzmann method, an examination of boundary conditions and the application of the Lattice Boltzmann method to a variety of fluid flows. We developed and successfully implemented combinations of no-slip, Navier-slip, pressure boundaries and inlet conditions in two and three dimensions using moment-based boundary conditions including careful treatments of conditions along edges and at corners. A useful advantage …

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Network-Based Management For Optimising Video Delivery, Ali Edan Taher Alissa Jan 2020

Network-Based Management For Optimising Video Delivery, Ali Edan Taher Alissa

School of Engineering, Computing and Mathematics Theses

The past decade has witnessed a massive increase in Internet video traffic. The Cisco Visual Forecast index indicates that, by 2022, (79%) of the world's mobile data traffic will be video traffic. In order to increase the video streaming market revenue, service providers need to provide services to the end-users characterised by high Quality of Experience (QoE). However, delivering good-quality video services is a very challenging task due to the stringent constraints related to bandwidth and latency requirements in video streaming. Among the available streaming services, HTTP adaptive streaming (HAS) has become the de facto standard for multimedia delivery over …

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Managing Knowledge And Risk:A Literature Review On The Interdependency Of Qrm And Km As Ich Q10 Enablers, Marty Lipa, Kevin O'Donnell, Anne Greene Jan 2020

Managing Knowledge And Risk:A Literature Review On The Interdependency Of Qrm And Km As Ich Q10 Enablers, Marty Lipa, Kevin O'Donnell, Anne Greene

Level 3

Quality Risk Management (QRM) and Knowledge Management (KM) have been positioned as co-enablers to the Pharmaceutical Quality System since the 2010 issuance of ICH Q10. Yet these disciplines have remained largely distinct and disconnected in practice. This paper presents a two-part literature review on this topic. First is a review of how other industries have connected risk management and knowledge management. This is followed by a review of relevant biopharmaceutical industry regulatory guidance to explore expectations for how risk, risk management, knowledge and knowledge management are interdependent. The results suggest there is a strong argument in favor of linking risk …

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Assessing If Patients Would Benefit From Electronic Patient Information Leaflets (Epils), Maria Gormley Jan 2020

Assessing If Patients Would Benefit From Electronic Patient Information Leaflets (Epils), Maria Gormley

Level 3

The importance of the patient information leaflet (PIL) is underlined by the fact it is the only mandatory information that patients in Europe are legislated to receive with their medicines. Issues with the PIL in its current paper format have been well documented and in recent years there has been a push to move from these paper leaflets provided in the medicine carton to the information being made available as an electronic PIL (ePIL). This paper explores the potential negative and positive consequences of ePILs and their impact on patients. In a survey of almost 600 people it was shown …

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Unconditional Quantile Regression Analysis Of Uk Inbound Tourist Expenditures, Abhijit Sharma, Richard Woodward, Stefano Grillini Jan 2020

Unconditional Quantile Regression Analysis Of Uk Inbound Tourist Expenditures, Abhijit Sharma, Richard Woodward, Stefano Grillini

Articles

Using International Passenger Survey (2017) data, this paper employs unconditional quantile regression (UQR) to analyse the determinants of tourist expenditure amongst inbound tourists to the United Kingdom. UQR allows us to estimate heterogeneous effects at any quantile of the distribution of the dependent variable. It overcomes the econometric limitations of ordinary least squares and quantile regression based estimates typically used to investigate tourism expenditures. However, our results reveal that the effects of our explanatory variables change across the distribution of tourist expenditure. This has important implications for those tasked with devising policies to enhance the UK’s tourist flows and expenditures.

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Vehicle Exhaust Remote Sensing Device Method To Screen Vehicles For Evaporative Running Loss Emissions, Gary A. Bishop, Timothy H. Defries, James A. Sidebottom, James M. Kemper Jan 2020

Vehicle Exhaust Remote Sensing Device Method To Screen Vehicles For Evaporative Running Loss Emissions, Gary A. Bishop, Timothy H. Defries, James A. Sidebottom, James M. Kemper

Fuel Efficiency Automobile Test Publications

Vehicle hydrocarbon (HC) emissions can be emitted from either tailpipe or non-tailpipe locations and understanding their fleet apportionment is important for successful air pollution policy. Vehicles initially misidentified as having elevated tailpipe HC emissions first indicated that roadside exhaust sensors could detect the presence of evaporative HC emissions as increased noise in the HC/carbon dioxide (CO2) correlation measurement. The 90th percentile of the largest residual of the HC/CO2 correlation is defined as a running loss index (RLI) for each measurement. An RLI that is three standard deviations or greater above the instruments noise indicates possible evaporative …

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Inspection And Maintenance Evaluation Using Historical U.S. Remote Sensing Measurements, Gary A. Bishop Jan 2020

Inspection And Maintenance Evaluation Using Historical U.S. Remote Sensing Measurements, Gary A. Bishop

Fuel Efficiency Automobile Test Publications

No abstract provided.

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A Study Of Food Safety Training And Associated Barriers To Effective Training Outcomes, Diane Fox Jan 2020

A Study Of Food Safety Training And Associated Barriers To Effective Training Outcomes, Diane Fox

Theses

The safety of food is fundamental to public health, businesses and wider society and effective food safety training is an essential element to ensure safe food reaches our consumers. This is true for all food business operators in all sectors of the food industry including food service, retail and manufacturing facilities. Not complying with food safety obligations can have a serious impact on human health and serious consequences for the food business operator. In 2015 the World Health Organisation reported that almost 1 in 10 people fall ill every year from eating contaminated food and 420,000 die as a result. …

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Investigation Of Consumer Attitudes Towards Emerging Novel Food Processing Technologies In The Republic Of Ireland, Emine Berna Cibik Jan 2020

Investigation Of Consumer Attitudes Towards Emerging Novel Food Processing Technologies In The Republic Of Ireland, Emine Berna Cibik

Theses

Food industry and governmental organisations are continuously working on innovative food processing technologies in order to produce safe foods without causing undesirable changes in the food products. Food is a very sensitive area so consumers are conservative in accepting food products produced from novel technologies compared to other products. Food is basic needs of humans and it is becoming more and more globalized recently, but public perceptions are not same in different countries. The aim of this research was to investigate consumer attitudes toward novel food processing technologies in Republic of Ireland. A quantitative research was conducted and data was …

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Start Of Epidemy In A City: Short-Term Forecast Of Covid-19 With Gmdh-Based Algorithms And Official Medical Statistics, Anna Boldyreva, Mikhail Alexandrov, Olexiy Koshulko, Svetland Popova Jan 2020

Start Of Epidemy In A City: Short-Term Forecast Of Covid-19 With Gmdh-Based Algorithms And Official Medical Statistics, Anna Boldyreva, Mikhail Alexandrov, Olexiy Koshulko, Svetland Popova

Conference papers

The sudden onset and quick development of an unknown epidemic may lead to tragic consequences: panic of population due to victims and unpreparedness of authorities for effectively help to population. These circumstances define extremely high requirements to the tools for short-term operational forecast. Namely, such tools should provide reliable results when model of phenomenon is unknown (factors of disease spreading) and data are limited (time series of observations). GMDH-based algorithms just meet these requirements unlike modern differential or advanced statistical models. In this study we test different algorithms from GMDH Shell platform on the example of Covid-19 epidemic in Moscow …

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Brexit: Psychometric Profiling The Political Salubrious Through Machine Learning: Predicting Personality Traits Of Boris Johnson Through Twitter Political Text, James Usher, Pierpaolo Dondio Jan 2020

Brexit: Psychometric Profiling The Political Salubrious Through Machine Learning: Predicting Personality Traits Of Boris Johnson Through Twitter Political Text, James Usher, Pierpaolo Dondio

Conference papers

Whilst the CIA have been using psychometric profiling for decades, Cambridge Analytica showed that people's psychological characteristics can be accurately predicted from their digital footprints, such as their Facebook or Twitter accounts. To exploit this form of psychological assessment from digital footprints, we propose machine learning methods for assessing political personality from Twitter. We have extracted the tweet content of Prime Minster Boris Johnson’s Twitter account and built three predictive personality models based on his Twitter political content. We use a Multi-Layer Perceptron Neural network, a Naive Bayes multinomial model and a Support Machine Vector model to predict the OCEAN …

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A Discrimination Aware Model To Predict Childhood Literacy Levels, Kate Byrne Jan 2020

A Discrimination Aware Model To Predict Childhood Literacy Levels, Kate Byrne

Dissertations

It is illegal in Ireland to discriminate in the provision of education on the basis of multiple characteristics including gender, race and religion. While the increased use of machine learning models can open multiple avenues to identify early intervention strategies in education, caution must be exercised to ensure that any intervention does not discriminate with respect to a protected class. Poor literacy in childhood can have long term effects as the child ages, including on employment and mental health outcomes. Early intervention is key in mitigating this. In this dissertation, a model was created that predicted the outcome of a …

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The Role Of Prior Knowledge In Peer Tutorials: Rethinking The Study Of Transfer In Writing Centers, Ellen C. Carillo Jan 2020

The Role Of Prior Knowledge In Peer Tutorials: Rethinking The Study Of Transfer In Writing Centers, Ellen C. Carillo

The Writing Center Journal

No abstract provided.

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Stereotypes Or Validation: Lessons Learned From A Partnership Between A Writing Center And A Summer Academic Program For Incoming Students Of Color, Rachel Azima Jan 2020

Stereotypes Or Validation: Lessons Learned From A Partnership Between A Writing Center And A Summer Academic Program For Incoming Students Of Color, Rachel Azima

The Writing Center Journal

No abstract provided.

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International Undergraduates' Perceptions Of Their Second Language Writing Development And Their Implications For Writing Center Tutors, Carol Severino, Deirdre Egan, Shih-Ni Prim Jan 2020

International Undergraduates' Perceptions Of Their Second Language Writing Development And Their Implications For Writing Center Tutors, Carol Severino, Deirdre Egan, Shih-Ni Prim

The Writing Center Journal

No abstract provided.

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Believing In The Online Writing Center, Anna Worm Jan 2020

Believing In The Online Writing Center, Anna Worm

The Writing Center Journal

No abstract provided.

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The Linguist In The Writing Center: A Primer On Textual Analysis In Writing Center Studies, Michael Rymer Jan 2020

The Linguist In The Writing Center: A Primer On Textual Analysis In Writing Center Studies, Michael Rymer

The Writing Center Journal

No abstract provided.

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Back Matter Jan 2020

Back Matter

The Writing Center Journal

No abstract provided.

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Family Satisfaction As A Function Of Cohesion, Flexibility, And Coping Among Parents Of Children With Down Syndrome, Jeff Ricketts Jan 2020

Family Satisfaction As A Function Of Cohesion, Flexibility, And Coping Among Parents Of Children With Down Syndrome, Jeff Ricketts

Electronic Theses and Dissertations Archive

When a child with Down syndrome is born in to a family the special needs of the child, the birth and the reactions of the family members can cause stress to the family system. The family systems characteristics affect how well the family can adjusts to these stressors. Understanding the relationship of the family systems characteristics to stress adaptation can help counselors aid these families as they implement these changes. The objectives of this study were to determine (a) how balanced family cohesion and balanced family flexibility relate to family satisfaction for families with a child with Down syndrome, and …

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An Experimental Research On Cationic Reverse Flotation Of Anshan-Type Iron Ores, Zhonghang Chen, Dianbing Zhu, Shujuan Dai, Ahmed Sobhy Jan 2020

An Experimental Research On Cationic Reverse Flotation Of Anshan-Type Iron Ores, Zhonghang Chen, Dianbing Zhu, Shujuan Dai, Ahmed Sobhy

Mining Engineering Faculty Research & Creative Works

The mineral processing technology of Anshan-type iron ores has been developed in a rapid speed in recent years, and the combined flowsheet at the core of anionic reverse flotation has become a mainstream in the beneficiation of Anshan-type iron ores in China. With the successful application of this combined flowsheet, some obvious problems are also emerging. Such as high requirement of pulp temperature, complex reagent system, high cost of reagent consumption and so on. In view of this, we have carried out an experimental study on the separation of Anshan type iron ore by cationic reverse flotation. A new collector …

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Model Comparison From Ligo-Virgo Data On Gw170817'S Binary Components And Consequences For The Merger Remnant, B. P. Abbott, R. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website. Jan 2020

Model Comparison From Ligo-Virgo Data On Gw170817'S Binary Components And Consequences For The Merger Remnant, B. P. Abbott, R. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.

Physics Faculty Research & Creative Works

GW170817 is the very first observation of gravitational waves originating from the coalescence of two compact objects in the mass range of neutron stars, accompanied by electromagnetic counterparts, and offers an opportunity to directly probe the internal structure of neutron stars. We perform Bayesian model selection on a wide range of theoretical predictions for the neutron star equation of state. For the binary neutron star hypothesis, we find that we cannot rule out the majority of theoretical models considered. In addition, the gravitational-wave data alone does not rule out the possibility that one or both objects were low-mass black holes. …

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Role Of Ergonomics In The Selection Of Stemming Plugs For Surface Mining Operations, Atta Ur Rehman, Muhammad Zaka Emad, Muhammad Usman Khan Jan 2020

Role Of Ergonomics In The Selection Of Stemming Plugs For Surface Mining Operations, Atta Ur Rehman, Muhammad Zaka Emad, Muhammad Usman Khan

Mining Engineering Faculty Research & Creative Works

Stemming plugs are one of the widely used accessories in surface mining operations. Stemming plugs assist conventional stemming material in gas retention and help in better fragmentation and explosive utilization. Effective use of the stemming plugs results in economic benefits and enhance the efficacy of the project. Economic and productive viability of stemming plugs have been conducted in depth by different researchers. Addition of stemming plugs to a new system requires ergonomic challenges for operators conducting drilling and blasting operation. Induction of a newer product in already established system is subject to overall positive feedback. This work investigates ergonomics of …

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Impact Of Considering And Neglecting States On Descent-To-Landing Navigation, Kyle J. Demars, Kari C. Ward Jan 2020

Impact Of Considering And Neglecting States On Descent-To-Landing Navigation, Kyle J. Demars, Kari C. Ward

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This paper develops a novel square-root formulation of the consider/neglect Kalman filter for navigation applications. The proposed filter partitions system parameters into three distinct categories: those to be estimated by the filter, those whose contribution to the system can be considered without explicitly estimating them, and those with sufficiently low effect on the system such that their contribution can be neglected altogether. Discussion on appropriate selection of consider and neglect parameters is provided with specific attention given to descent-to-landing navigation. Monte Carlo simulations and analysis are performed to assess the performance of the square-root consider/neglect filter.

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Robustness Metric For Robust Design Optimization Under Time-And Space-Dependent Uncertainty Through Metamodeling, Xinpeng Wei, Xiaoping Du Jan 2020

Robustness Metric For Robust Design Optimization Under Time-And Space-Dependent Uncertainty Through Metamodeling, Xinpeng Wei, Xiaoping Du

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Product performance varies with respect to time and space in many engineering applications. This paper discusses how to measure and evaluate the robustness of a product or component when its quality characteristics (QCs) are functions of random variables, random fields, temporal variables, and spatial variables. At first, the existing time-dependent robustness metric is extended to the present time-and space-dependent problem. The robustness metric is derived using the extreme value of the quality characteristics with respect to temporal and spatial variables for the nominal-the-better type quality characteristics. Then, a metamodel-based numerical procedure is developed to evaluate the new robustness metric. The …

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Direct Numerical Simulation Of Turbulent Pressure Fluctuations Over A Cone At Mach 8, Junji Huang, Lian Duan, Katya M. Casper, Ross M. Wagnild, Neal P. Bitter Jan 2020

Direct Numerical Simulation Of Turbulent Pressure Fluctuations Over A Cone At Mach 8, Junji Huang, Lian Duan, Katya M. Casper, Ross M. Wagnild, Neal P. Bitter

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Direct numerical simulations (DNS) were conducted to characterize the pressure fluctuations under the turbulent portion of the boundary layer over a sharp 7◦ half-angle cone at a nominal freestream Mach number of 8 and a unit Reynolds number of Reunit = 13.4 x 106/m. The axisymmetric cone geometry and the flow conditions of the DNS matched those measured in the Sandia Hypersonic Wind Tunnel at Mach 8 (Sandia HWT-8). The DNS-predicted wall pressure statistics, including the root-mean-square (r.m.s.) fluctuations and the power spectral density (PSD), were compared with those measured in the Sandia HWT-8. A good comparison between the DNS …

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Simulation And Modeling Of Cold-Wall Hypersonic Turbulent Boundary Layers On Flat Plate, Junji Huang, Gary L. Nicholson, Lian Duan, Meelan M. Choudhari, Rodney D.W. Bowersox Jan 2020

Simulation And Modeling Of Cold-Wall Hypersonic Turbulent Boundary Layers On Flat Plate, Junji Huang, Gary L. Nicholson, Lian Duan, Meelan M. Choudhari, Rodney D.W. Bowersox

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Direct numerical simulations (DNS) of flat-plate, zero-pressure-gradient turbulent boundary layers are presented for nominal freestream Mach numbers of 11 and 14 and a highly cooled wall (wall-to-recovery temperature of approximately 0.2). The flow conditions of the DNS are representative of the experimental data for a Mach 11.1 turbulent boundary layer on a flat plate that was tested at Calspan–University of Buffalo Research Center (CUBRC) and the operational conditions of the AEDC Hypervelocity Tunnel No. 9 at Mach 14. The wall shear stress and turbulent heat flux predicted by DNS show good comparisons with those measured at CUBRC and those modeled …

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Vietnamese Punctuation Prediction Using Deep Neural Networks, Thuy Pham, Nhu Nguyen, Hong Quang Pham, Han Cao, Binh Nguyen Jan 2020

Vietnamese Punctuation Prediction Using Deep Neural Networks, Thuy Pham, Nhu Nguyen, Hong Quang Pham, Han Cao, Binh Nguyen

Research Collection School Of Computing and Information Systems

Adding appropriate punctuation marks into text is an essential step in speech-to-text where such information is usually not available. While this has been extensively studied for English, there is no large-scale dataset and comprehensive study in the punctuation prediction problem for the Vietnamese language. In this paper, we collect two massive datasets and conduct a benchmark with both traditional methods and deep neural networks. We aim to publish both our data and all implementation codes to facilitate further research, not only in Vietnamese punctuation prediction but also in other related fields. Our project, including datasets and implementation details, is publicly …

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Challenges And Trends In Sustainable Corporate Finance: A Bibliometric Systematic Review, Tad Dat Bui, Mohd Helmi Ali, Feng Ming Tsai, Mohammad Iranmanesh, Ming-Lang Tseng, Ming K. Lim Jan 2020

Challenges And Trends In Sustainable Corporate Finance: A Bibliometric Systematic Review, Tad Dat Bui, Mohd Helmi Ali, Feng Ming Tsai, Mohammad Iranmanesh, Ming-Lang Tseng, Ming K. Lim

Research outputs 2014 to 2021

Sustainable corporate finance is an attractive field of study in sustainability literature; however, the literature lacks systematic bibliometric analysis that provides a comprehensive review to clarify state-of-the-art sustainable corporate finance and that discusses new opportunities and potential instructions for further studies. To address this gap, this study adopts a literature review, bibliometric analysis, network analysis and co-wording technique to systematically investigate the Scopus database. In total, 30 keywords listed at least three times are used and are divided into six clusters considering six fields of research, namely, corporate finance in corporate sustainability, sustainable competitive advantages, sustainable stakeholder engagement, circular economy, …

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