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Articles 40441 - 40470 of 41763
Full-Text Articles in Entire DC Network
Are Electric Vehicles A Panacea For Reducing Ozone Precursor Emissions?, Gary A. Bishop
Are Electric Vehicles A Panacea For Reducing Ozone Precursor Emissions?, Gary A. Bishop
Fuel Efficiency Automobile Test Publications
No abstract provided.
Cocreate: Collaborative Curriculum Reimagining And Enhancement Aiming To Transform Education, Barry J. Ryan, Adrienne Fleming, Catherine M. Deegan, Claire Mcavinia, Colm O'Kane, David Williams, Edmund Nevin, Eric Bates, Fionnuala Darby, Jen Harvey, Lesley Murphy, Maebh Coleman, Miriam O'Donoghue, Nicola Duffy
Cocreate: Collaborative Curriculum Reimagining And Enhancement Aiming To Transform Education, Barry J. Ryan, Adrienne Fleming, Catherine M. Deegan, Claire Mcavinia, Colm O'Kane, David Williams, Edmund Nevin, Eric Bates, Fionnuala Darby, Jen Harvey, Lesley Murphy, Maebh Coleman, Miriam O'Donoghue, Nicola Duffy
Teaching Fellowship Reports
The establishment of TU Dublin in January 2019 provided a unique opportunity to create a bespoke curriculum framework for students, staff and stakeholders of TU Dublin, produced by the students, staff and stakeholders of TU Dublin. A curriculum framework is a set of guiding values that inform the design of teaching and learning activities within TU Dublin. A Teaching Fellowship Team, comprising eighteen teaching academics from across the three TU Dublin campuses and supported extensively by the Learning Teaching and Technology Centre (LTTC), was formed to collaboratively craft, in partnership with all stakeholders, a curriculum framework for TU Dublin. Working …
On-Road Remote Sensing Of Automobile Emissions In The Denver Area: Winter 2020, Gary A. Bishop
On-Road Remote Sensing Of Automobile Emissions In The Denver Area: Winter 2020, Gary A. Bishop
Fuel Efficiency Automobile Test Publications
No abstract provided.
On-Road Remote Sensing Of Automobile Emissions In The Tulsa Area: Fall 2019, Gary A. Bishop
On-Road Remote Sensing Of Automobile Emissions In The Tulsa Area: Fall 2019, Gary A. Bishop
Fuel Efficiency Automobile Test Publications
No abstract provided.
Effective Online Safety Awareness For Young People In Less Developed Countries, Kona Ramesswar Kona Herkanaidu
Effective Online Safety Awareness For Young People In Less Developed Countries, Kona Ramesswar Kona Herkanaidu
School of Engineering, Computing and Mathematics Theses
In less developed countries (LDCs) there is a research deficit on the positive and negative aspects of their respective emerging digital cultures. Education programmes that seek to raise awareness of online safety, needs to be based on evidence and not simply transposed from other countries as the issues involved may be very different. Thailand, in particular, has very little data that can be used to create meaningful educational material. This was determined after a thorough literature review which found that most of the research has been carried out in the advanced economies of North America, Europe and Australasia. By contrast …
Multi-Modal Personalisation In Long-Term Human-Robot Interaction, Bahar Irfan
Multi-Modal Personalisation In Long-Term Human-Robot Interaction, Bahar Irfan
School of Engineering, Computing and Mathematics Theses
While short-term interactions with robots benefit from the novelty effect, long-term interactions can suffer from a decrease in user interest and engagement. Based on the previous research within Human-Robot Interaction (HRI), the thesis presented here is that user experience in long-term human-robot interactions can be improved by personalising the interaction through recognising users and recalling previously learned information. User recognition is the first step towards personalising the interaction, however, there does not exist a reliable user recognition method for fully autonomous user recognition in long- term HRI for real-world applications. Correspondingly, this thesis proposes a Multi-modal Incremental Bayesian Network (MMIBN) …
The Role And Contribution Of Knowledge And Knowledge Management Practices In Policing. The Case Of An Garda Síochána, Paul Mc Evoy
The Role And Contribution Of Knowledge And Knowledge Management Practices In Policing. The Case Of An Garda Síochána, Paul Mc Evoy
Doctoral
Thisresearch was undertaken in response to knowledge, and particularly knowledge management practice in policing that finds it complex, multifaceted, under researched and lacking in structure and cohesion. This exploratory research sets out to evaluate the role and contribution of knowledge and knowledge management practices in policing, and using An Garda Síochána, (the Police Service ofthe Republic of Ireland), as the underlying case exemplar in this work, it will contribute to the extant literature and understanding in the area by use of a study which contains unprecedented insider access to a modern police force, practical findings for knowledge change predicated on …
What Do Professional Drivers Think About Their Profession? An Examination Of Factors Contributing To The Driver Shortage, Chao Ji Hyland, Declan Allen
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 …
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
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.
Lattice Boltzmann Method For 2d And 3d Flows In Channels And Ducts With Slip And No-Slip Walls, Zainab Ali Bu Sinnah
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 …
Network-Based Management For Optimising Video Delivery, Ali Edan Taher Alissa
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 …
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
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 …
Assessing If Patients Would Benefit From Electronic Patient Information Leaflets (Epils), Maria Gormley
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 …
Unconditional Quantile Regression Analysis Of Uk Inbound Tourist Expenditures, Abhijit Sharma, Richard Woodward, Stefano Grillini
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.
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
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 …
Inspection And Maintenance Evaluation Using Historical U.S. Remote Sensing Measurements, Gary A. Bishop
Inspection And Maintenance Evaluation Using Historical U.S. Remote Sensing Measurements, Gary A. Bishop
Fuel Efficiency Automobile Test Publications
No abstract provided.
A Study Of Food Safety Training And Associated Barriers To Effective Training Outcomes, Diane Fox
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. …
Investigation Of Consumer Attitudes Towards Emerging Novel Food Processing Technologies In The Republic Of Ireland, Emine Berna Cibik
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 …
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
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 …
Brexit: Psychometric Profiling The Political Salubrious Through Machine Learning: Predicting Personality Traits Of Boris Johnson Through Twitter Political Text, James Usher, Pierpaolo Dondio
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 …
A Discrimination Aware Model To Predict Childhood Literacy Levels, Kate Byrne
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 …
The Role Of Prior Knowledge In Peer Tutorials: Rethinking The Study Of Transfer In Writing Centers, Ellen C. Carillo
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.
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.
International Undergraduates' Perceptions Of Their Second Language Writing Development And Their Implications For Writing Center Tutors, Carol Severino, Deirdre Egan, Shih-Ni Prim
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.
Believing In The Online Writing Center, Anna Worm
Believing In The Online Writing Center, Anna Worm
The Writing Center Journal
No abstract provided.
The Linguist In The Writing Center: A Primer On Textual Analysis In Writing Center Studies, Michael Rymer
The Linguist In The Writing Center: A Primer On Textual Analysis In Writing Center Studies, Michael Rymer
The Writing Center Journal
No abstract provided.
Family Satisfaction As A Function Of Cohesion, Flexibility, And Coping Among Parents Of Children With Down Syndrome, Jeff Ricketts
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 …
An Experimental Research On Cationic Reverse Flotation Of Anshan-Type Iron Ores, Zhonghang Chen, Dianbing Zhu, Shujuan Dai, Ahmed Sobhy
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 …
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.
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. …