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Articles 26731 - 26760 of 27030
Full-Text Articles in Entire DC Network
On Design Load Prediction And Extreme Response Modelling Of Floating Offshore Renewable Energy Structures, Tom Tosdevin
On Design Load Prediction And Extreme Response Modelling Of Floating Offshore Renewable Energy Structures, Tom Tosdevin
School of Engineering, Computing and Mathematics Theses
FLOATING offshore renewable energy (FORE) is a marginal industry and as such cost reductions are essential in order for it to become competitive with other forms of electricity generation. Design practices for evaluating the extreme responses of FORE devices are still under consideration by standards authorities, thus methods that enable potential speeding up of the design and development phases, particularly physical model testing are needed. Probabilistic design approaches have proved effective in bringing down costs in the aerospace and automobile industries and so provide a potential route to viability by allowing partial safety factors to be reduced. However, the scarcity …
Investigation And Modelling Of A Cortical Learning Algorithm In The Neocortex, Damir Dobric
Investigation And Modelling Of A Cortical Learning Algorithm In The Neocortex, Damir Dobric
School of Engineering, Computing and Mathematics Theses
Many algorithms today provide a good machine learning solution in the specific problem domain, like pattern recognition, clustering, classification, sequence learning, image recognition, etc. They are all suitable for solving some particular problem but are limited regarding flexibility. For example, the algorithm that plays Go cannot do image classification, anomaly detection, or learn sequences. Inspired by the functioning of the neocortex, this work investigates if it is possible to design and implement a universal algorithm that can solve more complex tasks more intelligently in the way the neocortex does. Motivated by the remarkable replication degree of the same and similar …
Strategic Alignment, Performance, And The Moderating Effect Of Regulatory Fit, Hayden T. Gunnell, Steven D. Smith, Travis W. Steadman
Strategic Alignment, Performance, And The Moderating Effect Of Regulatory Fit, Hayden T. Gunnell, Steven D. Smith, Travis W. Steadman
Faculty Publications
We examine how the alignment of performance measurement and strategy affects performance on a multidimensional task. Our experiment varies both the strategy (speed versus accuracy) of the hypothetical firm for which participants work and the individual performance measure that is reported to them, creating two conditions of clear alignment and two of clear misalignment. We find that while workers are responsive to the performance measure regardless of its alignment, they are also sensitive to the strategy such that costly alignment effects are observed. We also predict and find that workers respond asymmetrically to misalignment in accuracy performance but not in …
Zno Varistors—Preparation Of Nano And Micro Sized Powders By Mechanical Methods For Low And High Voltage Varistors, Maura Kelleher
Zno Varistors—Preparation Of Nano And Micro Sized Powders By Mechanical Methods For Low And High Voltage Varistors, Maura Kelleher
Books/Book Chapters
ZnO-Bi2O3-Sb2O3 varistors are as essential today as they have been since their discovery five decades ago. Their role is to protect other electronic components against oncoming surges of electrons and survive. The demands on varistors are increasing. Electronic components are becoming smaller and more sensitive, and the metal oxides from which varistors are made are precious. Every aspect of their structure (macro, micro, nano and atomic) determines how they perform and survive. Each stage and variable within the powder metallurgy process is important. The mechanical methods in preparing nano and micro sized metal oxide powders are outlined in this chapter.
Influence Of Seasonality And Public-Health Interventions On The Covid-19 Pandemic In Northern Europe, Gerry A. Quinn, Michael Connolly, Norman E. Fenton, Steven J. Hatfill, Paul Hynds, Coilín Óhaiseadha, Karol Sikora, Willie Soon, Ronan Connolly
Influence Of Seasonality And Public-Health Interventions On The Covid-19 Pandemic In Northern Europe, Gerry A. Quinn, Michael Connolly, Norman E. Fenton, Steven J. Hatfill, Paul Hynds, Coilín Óhaiseadha, Karol Sikora, Willie Soon, Ronan Connolly
Articles
Background: Most government efforts to control the COVID-19 pandemic revolved around non-pharmaceutical interventions (NPIs) and vaccination. However, many respiratory diseases show distinctive seasonal trends. In this manuscript, we examined the contribution of these three factors to the progression of the COVID-19 pandemic. Methods: Pearson correlation coefficients and time-lagged analysis were used to examine the relationship between NPIs, vaccinations and seasonality (using the average incidence of endemic human beta-coronaviruses in Sweden over a 10-year period as a proxy) and the progression of the COVID-19 pandemic as tracked by deaths; cases; hospitalisations; intensive care unit occupancy and testing positivity rates in six …
Structure-Function Relationship Of Oat Flour Fractions When Blended With Wheat Flour: Instrumental And Nutritional Quality Characterization Of Resulting Breads, Mahmoud Said Rashed, Milica Pojić, Ciara Mcdonagh, Eimear Gallagher, Jesus M. Frias, Shivani Pathania
Structure-Function Relationship Of Oat Flour Fractions When Blended With Wheat Flour: Instrumental And Nutritional Quality Characterization Of Resulting Breads, Mahmoud Said Rashed, Milica Pojić, Ciara Mcdonagh, Eimear Gallagher, Jesus M. Frias, Shivani Pathania
Articles
Abstract: The present work investigated the structure-function relationship of dry fractionated oat flour (DFOF) as a techno-functional ingredient using bread as a model system. Mechanically, DFOF fractions (F), that is, F1: <224 µm, F2: 250–280 µm, F3: 280–500 µm, F4: 500–600 µm, and whole oat flour (F5) were blended with white wheat flour at 10%, 30%, and 50% substitution levels for bread making. The blended flours, doughs, and bread samples were assessed for their techno-functional, nutritional, and structural characteristics. The results of Mixolab and the Rapid Visco Analyzer show that the 50% substituted F3 fraction exhibits the highest water absorption properties (69.53%), whereas the 50% F1 fraction exhibits the highest peak viscosity of the past slurry. Analysis of bread samples revealed a lower particle size of DFOF fractions and higher supplementation levels, increased β-glucan levels (0.13–1.29 g/100 bread (db), reduced fermentable monosaccharides, that is, glucose (1.44–0.33 g/100 g), and fructose (1.06–0.28 g/100 g). The effect of particle size surpassed the substitution level effect on bread volume reduction. The lowest hardness value for F1 is 10%, and the highest value for F2 is 50%. The total number of cells in the bread slice decreased from the control to the F4 fraction (50%). Multi-criteria analysis indicated that DFOF fractions produced breads with similar structure and higher nutritional value developed from white wheat flour. Practical Application: The use of mechanically fractionated oat flours fractions in white wheat flour breads can improve the nutritional profile without affecting the physical properties of the bread product. Based on the oat flour fractions, bakers and food processing companies can tailor the bread formulations for high β-glucan, high fiber, and low reduced sugar claims.
Review Of Computational Models For Large-Scale Mdao Of Urban Air Mobility Concepts, Darshan Sarojini, Marius L. Ruh, Jiayao Yan, Luca Scotzniovsky, Nicholas C. Orndorff, Ru Xiang, Han Zhao, Joshua J. Krokowski, Michael Warner, Sebastiaan Pc Van Schie, Ashley Cronk, Alexandre T. R. Guibert, Jeffrey T. Chambers, Lauren Wolfe, Rachel Doring, Robin Despins, Cibin Joseph, Ryan Anderson, Andrew Ning, Hyunjune Gill, Seongkyu Lee, Zeyu Cheng, Zhi Cao, Chunting Mi, Y Shirley Meng, Christopher Silva, Jiun-Shyan Chen, H. Alicia Kim, John T. Hwang
Review Of Computational Models For Large-Scale Mdao Of Urban Air Mobility Concepts, Darshan Sarojini, Marius L. Ruh, Jiayao Yan, Luca Scotzniovsky, Nicholas C. Orndorff, Ru Xiang, Han Zhao, Joshua J. Krokowski, Michael Warner, Sebastiaan Pc Van Schie, Ashley Cronk, Alexandre T. R. Guibert, Jeffrey T. Chambers, Lauren Wolfe, Rachel Doring, Robin Despins, Cibin Joseph, Ryan Anderson, Andrew Ning, Hyunjune Gill, Seongkyu Lee, Zeyu Cheng, Zhi Cao, Chunting Mi, Y Shirley Meng, Christopher Silva, Jiun-Shyan Chen, H. Alicia Kim, John T. Hwang
Faculty Publications
The advent of Urban Air Mobility (UAM) has necessitated a paradigm shift in aircraft design from traditional regression methods to physics-based analysis and the use of modern computational methods. This paper explores the intricacies of UAM aircraft design, acknowledging the limitations of historical empirical equations and advocating for the use of physics-based tools in the early stages of the design process. It underscores the importance of Multidisciplinary Design, Analysis, and Optimization (MDAO) as a means to integrate physics-based tools for conceptual design, facilitating decisions on configuration and sizing. The paper presents a comprehensive survey and review of computational models across …
Learning From Secondary Blended Teaching Practitioners: Selecting Activities And Connecting In-Person And Online Learning, Michelle Jensen, Charles R. Graham, Cecil R. Short
Learning From Secondary Blended Teaching Practitioners: Selecting Activities And Connecting In-Person And Online Learning, Michelle Jensen, Charles R. Graham, Cecil R. Short
Faculty Publications
Implementation of blended teaching (BT) practices is increasing rapidly in K-12 classrooms. This trend creates an urgent need for professional development to support BT. An understanding of how experienced teachers implement BT can inform teacher educators and professional development leaders as they develop training to support this practice. We interviewed 24 secondary educators implementing BT strategies to determine what activities they include in the online space and how they connect them to in-person learning. Qualitative thematic analysis of the interviews revealed that experienced blended teachers used a variety of online activities, providing opportunities for learners to interact with content, other …
Chatbots Mitigate Help-Seeking Avoidance, James Gaskin, Eva Blondeel, Ryan Schuetzler, Rachel Serre, Jacob Steffen, David A. Wood
Chatbots Mitigate Help-Seeking Avoidance, James Gaskin, Eva Blondeel, Ryan Schuetzler, Rachel Serre, Jacob Steffen, David A. Wood
Faculty Publications
This research explores the transformative role of large language model (LLM) chatbots in fostering help-seeking behaviors among introverted and underrepresented students in educational settings. Despite the importance of help-seeking for academic success, certain groups exhibit avoidance behaviors due to self-presentation concerns and stereotype threats. By integrating LLM chatbots as non-judgmental, anonymous teaching assistants in an introductory information systems course, the study demonstrates how technology can mitigate these behaviors and promote inclusivity. The chatbots provided real-time, unbiased support, significantly enhancing the students' willingness to engage in help-seeking behaviors without fear of judgment. This practical application of chatbots not only supports academic …
Development Of Realistic Hazard Scenarios In A Malaysian Driving Simulator For Education, Cheng Yun Quan, Sarina Mansor, Chin Ji Jian, Hezerul Abdul Karim, Ban Kar Weng
Development Of Realistic Hazard Scenarios In A Malaysian Driving Simulator For Education, Cheng Yun Quan, Sarina Mansor, Chin Ji Jian, Hezerul Abdul Karim, Ban Kar Weng
School of Engineering, Computing and Mathematics
In this paper, we present the development of a driving education prototype simulator, aiming to address dangerous traffic situations frequently encountered in daily life, particularly in urban areas like Klang Valley, Malaysia. Our initial driving simulator version focused on track-based training tailored to Malaysian driving exams, but we recognized its limitations in preparing learner drivers for real-world challenges due to the lack of risk. To add the value of study to our project, we designed three scenarios based on common dangerous situations observed in dashboard camera (dashcam) footage from Malaysian drivers. Due to the lack of reliable openly discussed methods …
Wave Energy Extraction From Rigid Rectangular Compound Floating Plates, S. Michele, S. Zheng, E. Renzi, J. Guichard, A. G.L. Borthwick, D. M. Greaves
Wave Energy Extraction From Rigid Rectangular Compound Floating Plates, S. Michele, S. Zheng, E. Renzi, J. Guichard, A. G.L. Borthwick, D. M. Greaves
School of Engineering, Computing and Mathematics
We present a theoretical model to analyse the hydrodynamics of wave energy converters (WECs) comprised of three-dimensional, rigid, floating, compound rectangular plates in the open sea. The hydrodynamic problem is solved by means of Green's theorem and a free-surface Green's function. Plate motion is predicted through decomposition into rigid natural modes. We first analyse the case of a single rectangular plate and validate our model against experimental results from physical model tests undertaken in the COAST laboratory at the University of Plymouth. Then we extend our theory to complex shapes and arrays of plates and examine how the geometry, incident …
Modelling Reservoir Sediment Flushing Through A Bottom Tunnel With An Initially Covered Intake, Yining Sun, Ji Li, Zhixian Cao, Jinxin Liu, Huan Xu, Alistair G.L. Borthwick
Modelling Reservoir Sediment Flushing Through A Bottom Tunnel With An Initially Covered Intake, Yining Sun, Ji Li, Zhixian Cao, Jinxin Liu, Huan Xu, Alistair G.L. Borthwick
School of Engineering, Computing and Mathematics
Sediment flushing through a bottom tunnel is one of the most effective methods to alleviate reservoir sedimentation. However, the multi-physical hydro-sediment-morphological processes of reservoir sediment flushing through an initially covered bottom tunnel intake have remained poorly understood, and a physically enhanced and practically viable mathematical model is required. The present study uses an integrated model to resolve sediment flushing through an initially covered bottom tunnel intake. The proposed model couples a two-dimensional double layer-averaged model for the reservoir with a one-dimensional model for the bottom tunnel by means of numerical fluxes calculations at the inner boundary. The governing equations are …
Nonlinear Spatial Evolution Of Degenerate Quartets Of Water Waves, Conor Heffernan, Amin Chabchoub, Raphael Stuhlmeier
Nonlinear Spatial Evolution Of Degenerate Quartets Of Water Waves, Conor Heffernan, Amin Chabchoub, Raphael Stuhlmeier
School of Engineering, Computing and Mathematics
In this manuscript we investigate the Benjamin–Feir (or modulation) instability for the spatial evolution of water waves from the perspective of the discrete, spatial Zakharov equation, which captures cubically nonlinear and resonant wave interactions in deep water without restrictions on spectral bandwidth. Spatial evolution, with measurements at discrete locations, is pertinent for laboratory hydrodynamic experiments, such as in wave flumes, which rely on time-series measurements at fixed gauges installed along the facility. This setting is likewise appropriate for experiments in electromagnetic and plasma waves. Through a reformulation of the problem for a degenerate quartet, we bring to bear techniques of …
Addressing Digital Exclusion Via The Inter-Generational Codesign Of Extended Reality, Underwater Telepresence, Social Games, And Voice Ai Technologies, Ray Jones, Rory Baxter, Marius Varga, Oksana Hagen, Amir Aly, Dena Bazazian, Alejandro Veliz Reyes, Swen Gaudl
Addressing Digital Exclusion Via The Inter-Generational Codesign Of Extended Reality, Underwater Telepresence, Social Games, And Voice Ai Technologies, Ray Jones, Rory Baxter, Marius Varga, Oksana Hagen, Amir Aly, Dena Bazazian, Alejandro Veliz Reyes, Swen Gaudl
School of Nursing and Midwifery
Addressing Digital Exclusion via the Inter-Generational Codesign of Extended Reality, Underwater Telepresence, Social Games, and Voice AI Technologies
Practical Actions To Strengthen Capacity For Deep-Water Research In Africa, Kirsty A Mcquaid, Kerry Howell, Agnes W.N. Muthumbi, Olusola Adeoye, Isa Elegbede, Luther Adams, Blessing Charuka, Ana Hilário, Hendrina Kadila, Sophia Laarissa, Randa Mejri, Sidi Mohamed, Damaris Mutia, Angela Nyangwe, Angus Paterson, Sinothando Shibe, Kerry Sink, Sheena Talma, Urias Taylor, Arthur Tuda
Practical Actions To Strengthen Capacity For Deep-Water Research In Africa, Kirsty A Mcquaid, Kerry Howell, Agnes W.N. Muthumbi, Olusola Adeoye, Isa Elegbede, Luther Adams, Blessing Charuka, Ana Hilário, Hendrina Kadila, Sophia Laarissa, Randa Mejri, Sidi Mohamed, Damaris Mutia, Angela Nyangwe, Angus Paterson, Sinothando Shibe, Kerry Sink, Sheena Talma, Urias Taylor, Arthur Tuda
School of Biological and Marine Sciences
While Africa's deep marine biodiversity offers economic prospects it also supports crucial ecosystem services and sustainable development is dependent on knowledge of these systems. Building understanding of deep-water ecosystems is key, but there are substantial discrepancies in countries' abilities to achieve this. Coinciding with the 2024 Ocean Decade Conference, the Challenger 150 African Network of Deep-water Researchers is pleased to release a report on “Practical Actions to Strengthen Capacity for Deep-water Research in Africa”. Through a series of online workshops, the ANDR brought together 98 individuals from 19 African nations to discuss challenges for deep-water research in Africa, identify solutions …
Salivary Biomarkers: The Early Diagnosis Of Alzheimer's Disease, S. Nazir
Salivary Biomarkers: The Early Diagnosis Of Alzheimer's Disease, S. Nazir
School of Engineering, Computing and Mathematics
The precise identification of Alzheimer's disease and other prevalent neurodegenerative diseases remains a difficult issue that requires the development of early detection of the disease and inexpensive biomarkers that can replace the present cerebrospinal fluid and imaging biomarkers. Blood biomarkers, such as amyloid and neurofilament light, have been emphasized as an important and practical tool in a testing or examination procedure thanks to advancements in ultra-sensitive detection techniques. Although saliva is not currently being researched for neurodegenerative diseases, it is an important source of biomarkers that can be used for the identification of diseases and has some advantages over other …
Federated Learning For Efficient Spectrum Allocation In Open Ran, Muhammad Asad, Safa Otoum
Federated Learning For Efficient Spectrum Allocation In Open Ran, Muhammad Asad, Safa Otoum
School of Engineering, Computing and Mathematics
In the evolving landscape of Open Radio Access Networks (Open RAN), the dynamic and unpredictable nature of network conditions presents significant challenges for traditional spectrum allocation strategies. This paper introduces an innovative framework that leverages Federated Learning (FL) to refine and enhance spectrum allocation within Open RAN. Utilizing the decentralized architecture of FL, our model introduces a system that is not only more adaptive to real-time changes but also offers enhanced robustness for spectrum management. We delve into the advantages of this approach, such as significant improvements in data traffic management, latency reduction, and overall network capacity enhancement. Additionally, we …
Clinical Coding Of Long Covid In Primary Care 2020–2023 In A Cohort Of 19 Million Adults: An Opensafely Analysis, Alasdair D. Henderson, Ben Fc Butler-Cole, John Tazare, Laurie A. Tomlinson, Michael Marks, Mark Jit, Andrew Briggs, Liang Yu Lin, Oliver Carlile, Chris Bates, John Parry, Sebastian Cj Bacon, Iain Dillingham, William A. Dennison, Ruth E. Costello, Yinghui Wei, Alex Walker, William Hulme, Ben Goldacre, Amir Mehrkar, Brian Mackenna, The Opensafely Collaborative, Emily Herrett, Rosalind M. Eggo
Clinical Coding Of Long Covid In Primary Care 2020–2023 In A Cohort Of 19 Million Adults: An Opensafely Analysis, Alasdair D. Henderson, Ben Fc Butler-Cole, John Tazare, Laurie A. Tomlinson, Michael Marks, Mark Jit, Andrew Briggs, Liang Yu Lin, Oliver Carlile, Chris Bates, John Parry, Sebastian Cj Bacon, Iain Dillingham, William A. Dennison, Ruth E. Costello, Yinghui Wei, Alex Walker, William Hulme, Ben Goldacre, Amir Mehrkar, Brian Mackenna, The Opensafely Collaborative, Emily Herrett, Rosalind M. Eggo
School of Engineering, Computing and Mathematics
Background: Long COVID is the patient-coined term for the persistent symptoms of COVID-19 illness for weeks, months or years following the acute infection. There is a large burden of long COVID globally from self-reported data, but the epidemiology, causes and treatments remain poorly understood. Primary care is used to help identify and treat patients with long COVID and therefore Electronic Health Records (EHRs) of past COVID-19 patients could be used to help fill these knowledge gaps. We aimed to describe the incidence and differences in demographic and clinical characteristics in recorded long COVID in primary care records in England. Methods: …
Ship Recycling In Developing Economies Of South Asia: Changing Liability To A Commodity, Bisma Mannan, Md Jahir Rizvi, Yong Ming Dai
Ship Recycling In Developing Economies Of South Asia: Changing Liability To A Commodity, Bisma Mannan, Md Jahir Rizvi, Yong Ming Dai
School of Engineering, Computing and Mathematics
The end-of-life (EOL) of ships which is neglected and considered a liability by developed economies of the western world. However, it has become a commodity in the developing economies of South Asian countries. Ship recycling activities are considered extremely dangerous by the International Labour Organization (ILO); however, if ship recycling operations are well-managed then they can play a vital role in achieving circular economy and UN sustainable development goals. This study critically examines recent developments in key ship recycling nations, shedding light on both opportunities and challenges faced by this evolving industry. By delving into the socio-economic benefits and presenting …
Incidence Of Diabetes After Sars-Cov-2 Infection In England And The Implications Of Covid-19 Vaccination: A Retrospective Cohort Study Of 16 Million People, Kurt Taylor, Sophie Eastwood, Venexia M. Walker, Genevieve Cezard, Rochelle Knight, Marwa Al Arab, Yinghui Wei, Elsie M.F. Horne, Lucy Teece, Harriet Forbes, Alex Walker, Louis Fisher, Jon Massey, Lisa Hopcraft, Tom Palmer, Jose Ignacio Cuitun Coronado, Samantha Ip, Simon Davy, Iain Dillingham, Caroline Morton, Felix Greaves, John Macleod, Ben Goldacre, Angela Wood, Nishi Chaturvedi, Jonathan A.C. Sterne, Rachel Denholm, The Opensafely Collaborative
Incidence Of Diabetes After Sars-Cov-2 Infection In England And The Implications Of Covid-19 Vaccination: A Retrospective Cohort Study Of 16 Million People, Kurt Taylor, Sophie Eastwood, Venexia M. Walker, Genevieve Cezard, Rochelle Knight, Marwa Al Arab, Yinghui Wei, Elsie M.F. Horne, Lucy Teece, Harriet Forbes, Alex Walker, Louis Fisher, Jon Massey, Lisa Hopcraft, Tom Palmer, Jose Ignacio Cuitun Coronado, Samantha Ip, Simon Davy, Iain Dillingham, Caroline Morton, Felix Greaves, John Macleod, Ben Goldacre, Angela Wood, Nishi Chaturvedi, Jonathan A.C. Sterne, Rachel Denholm, The Opensafely Collaborative
School of Engineering, Computing and Mathematics
Background: Some studies have shown that the incidence of type 2 diabetes increases after a diagnosis of COVID-19, although the evidence is not conclusive. However, the effects of the COVID-19 vaccine on this association, or the effect on other diabetes subtypes, are not clear. We aimed to investigate the association between COVID-19 and incidence of type 2, type 1, gestational and non-specific diabetes, and the effect of COVID- 19 vaccination, up to 52 weeks after diagnosis. Methods: In this retrospective cohort study, we investigated the diagnoses of incident diabetes following COVID-19 diagnosis in England in a pre-vaccination, vaccinated, and unvaccinated …
Insights From Co-Design Of Underwater Telepresence And Extended Reality Technologies With Digitally Excluded Older Adults, Oksana Hagen, Marius Varga, Rory Baxter, Ray Jones, Amir Aly, Dena Bazazian, Swen Gaudl, Alejandro Veliz Reyes
Insights From Co-Design Of Underwater Telepresence And Extended Reality Technologies With Digitally Excluded Older Adults, Oksana Hagen, Marius Varga, Rory Baxter, Ray Jones, Amir Aly, Dena Bazazian, Swen Gaudl, Alejandro Veliz Reyes
School of Engineering, Computing and Mathematics
The Intergenerational Co-design of Novel Technologies In Coastal Communities (ICONIC) project is running co-design workshops with older (50+) and younger people (16-30) to design technologies suitable for older people’s wellbeing. We aim to design four novel technologies in extended reality (XR), underwater telepresence (UT), social games and voice interaction. This late breaking report focuses on workshop results for the first two technologies. Ten workshops were held (August 23 - February 24) involving 24 older people and 12 younger people. Our co-design methods were demonstrably feasible although recruiting younger people is difficult. Nevertheless, the thematic and content analysis showed the importance …
Violent Breaking-Wave Impacts. Part 4: A Detailed Analysis And Comparison Of Field And 1:4 Scale Measurements On Sloping And Vertical Walls Including The Influence Of Air And Scale Effects, Geoffrey N. Bullock, Henrik Bredmose
Violent Breaking-Wave Impacts. Part 4: A Detailed Analysis And Comparison Of Field And 1:4 Scale Measurements On Sloping And Vertical Walls Including The Influence Of Air And Scale Effects, Geoffrey N. Bullock, Henrik Bredmose
School of Engineering, Computing and Mathematics
Pressure and aeration measurements obtained under storm conditions on the steep-fronted masonry wall of a rubble-mound breakwater are analysed in detail, and the results compared with those obtained using a 1:4 scale freshwater model of the field test site. New insights are gained into the complex behaviour of the most violent impacts, with particular attention given to aeration and scale effects. The existence in the field of both low-aeration (LA) and high-aeration (HA) impacts is confirmed and new parameters introduced to facilitate further analysis. Maximum pressures (Pmax) up to 771 kPa are categorised and the magnitudes of the …
Understanding Cyber-Risks In Complex Next-Generation Maritime Technologies: Autonomy And Offshore Wind Energy Operations, Kimberly Tam, Avanthika Vineetha Harish, Kevin Jones
Understanding Cyber-Risks In Complex Next-Generation Maritime Technologies: Autonomy And Offshore Wind Energy Operations, Kimberly Tam, Avanthika Vineetha Harish, Kevin Jones
School of Engineering, Computing and Mathematics
When developing maritime technology, each new technology is often developed and assessed separately. However, it is likely with the convergence of systems, and greater interconnectivity between systems in the sector, that new technologies will be inter-connected digitally or operationally. Understanding the cyber risks of the larger systems of systems is important. This paper looks at the potential cyber-physical risk of future autonomy and offshore renewable energy solutions co-existing together. A threat scenario is presented using real cyber-vulnerabilities in autonomy and offshore wind systems. This paper discusses potential overall vulnerabilities when combining these two emerging technologies. It concludes with suggested mitigations …
An Introduction To The Zakharov Equation For Modelling Deep Water Waves, Raphael Stuhlmeier
An Introduction To The Zakharov Equation For Modelling Deep Water Waves, Raphael Stuhlmeier
School of Engineering, Computing and Mathematics
No abstract provided.
Using Content Analysis And Text Mining To Examine The Effects Of Asynchronous Online Tutoring On Revision, Susan Lang, Clinton Morrison Jr, Kathleen Brawley
Using Content Analysis And Text Mining To Examine The Effects Of Asynchronous Online Tutoring On Revision, Susan Lang, Clinton Morrison Jr, Kathleen Brawley
The Writing Center Journal
What do writers do with the feedback they receive? While the answer will vary depending on the writer’s experience and the rhetorical situation, understanding what writers do can provide important information for course redesign and professional development of tutors and instructors. In this first of two manuscripts, the authors examine how first-semester, first-year writing students use responses provided via asynchronous online tutoring (AOT) in revising their assignments. Our primary research question was: What was happening in—and after—those tutorials? We addressed this question by a process of narrowing and refining of data analysis toward increasingly precise inferences as we progressed from …
Slouching Towards Causality: Does Our Writing Center Tutoring Work?, Dennis Paoli, Jack Kenigsberg
Slouching Towards Causality: Does Our Writing Center Tutoring Work?, Dennis Paoli, Jack Kenigsberg
The Writing Center Journal
Replicable, aggregable, data-supported (RAD) research has become standard in writing center studies. Choice of research question is determined by local conditions and exigencies, often influenced by institutional assessment policy and national mandates. The methodology of choice in most writing center research is qualitative inquiry, though quasi-experimental quantitative studies, with their inherently difficult protocols and ethical problems, persist in their effort to address the question fundamental to writing center labor: Does writing center tutoring improve student writing? In a quasi-experiment applying propensity score matching to a sample of student users of the Rockowitz Writing Center at Hunter College of the City …
Graphene Oxide Biopolymer Aerogels: A Novel Solution To Toxic Metal Pollution In Water, Jonathan Bloor
Graphene Oxide Biopolymer Aerogels: A Novel Solution To Toxic Metal Pollution In Water, Jonathan Bloor
School of Engineering, Computing and Mathematics Theses
Clean drinking water is a fundamental human right, but still in the 21st century millions of people are forced to drink water contaminated with toxic metals above recommended safe limits. This work proposes to remediate toxic lead (Pb) from potable water using a robust low-cost aerogel fabricated from graphene oxide (GO) and seaweed (calcium alginate) by batch adsorption using simple agitation. Firstly, GO was synthesised using the improved Hummers’ method (IHM) and characterised with TEM, Raman and FTIR. The GO alginate aerogel composites were made by a sol-gel method, freeze dried and crosslinked in CaCl2 and further characterised using SEM …
Improving The Performance Of Hirep Lattice Simulations Software By Exploiting The Cpu Hardware Architecture Details And Algorithm Characteristics, Md Rahman
School of Engineering, Computing and Mathematics Theses
In the scientific exploration of Quantum Chromodynamics (QCD)—the theory governing the strong interaction among quarks and gluons—large-scale numerical simulations are per formed using the framework of lattice gauge theories. Lattice Gauge Theory (LGT) simulations involve the formulation of gauge field theories on a space-time lattice. HiRep is a simulation suite designed for running lattice simulations, leveraging high-performance computing platforms. HiRep is designed to be flexible enough to study a wide range of strongly interacting systems, particularly those pertinent to novel physics investigations at CERN’s Large Hadron Collider (LHC). However, improving the execution time of HiRep is a challenging and non-trivial …
Simplification Of High Graphene/N-Si Schottky Junction Solar Efficiency, Hilal Al Busaidi
Simplification Of High Graphene/N-Si Schottky Junction Solar Efficiency, Hilal Al Busaidi
School of Engineering, Computing and Mathematics Theses
Because of the outstanding properties of graphene such as optical transmission and mobility of charges [1], it incorporates to Schottky solar cells. These properties of graphene also reduces the optical and electrical losses which are in solar cells made of p-n structures. To increase the performance of electronic devices, researchers developed 3 designs using graphene with silicon solar cell technology. Schottky junction solar cells made of graphene and n-silicon have attained efficiency values comparable to p-n junction silicon solar cells. Nevertheless, issues remain such as how to simplify the creating process to improve the fill factor and stability of devices. …
Explainable Deep Learning For Medical Imaging Classification, Megan Courtman
Explainable Deep Learning For Medical Imaging Classification, Megan Courtman
School of Engineering, Computing and Mathematics Theses
Machine learning is increasingly being applied to medical imaging tasks. However, the "black box'' nature of techniques such as deep learning has inhibited the interpretability and trustworthiness of these methods, and therefore their clinical utility. In recent years, explainability methods have been developed to allow better interrogation of these approaches.This thesis presents the novel application of explainable deep learning to several medical imaging tasks, to investigate its potential in patient safety and research. It presents the novel application of explainable deep learning to the detection of aneurysm clips in CT brains for MRI safety. It also presents the novel application …