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Characterisation Of Caspase-6-Dependent Regulatory Mechanisms Of Sqstm1/P62 Droplet-Based Autophagy, Evelina Valionyte Jan 2023

Characterisation Of Caspase-6-Dependent Regulatory Mechanisms Of Sqstm1/P62 Droplet-Based Autophagy, Evelina Valionyte

Peninsula Medical School Theses

p62, otherwise known as SQSTM1, is the most characterised selective autophagy receptor essential for autophagic cargo recognition, capture and degradation. p62 and its cargo form liquid-liquid phase-separated droplets which operate as assembly platforms for the formation of autophagosomes. It is poorly understood how physiological and pathological conditions modulate p62 droplet-based autophagy. In this study, the effects of cellular toxicity upon the regulation of p62 droplet-based autophagy were investigated. This study discovered that the inflammatory toxicity promotes caspase-6 to cleave p62 at a novel site D256. As the C-terminal cleavage product was undetected via western blotting rendering it unstable, the attention …

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A Critical Analysis Of The Working Memory Model Of Eye Movement Desensitization And Reprocessing, Adam Stewart Jan 2023

A Critical Analysis Of The Working Memory Model Of Eye Movement Desensitization And Reprocessing, Adam Stewart

Other Faculty of Health Theses

Eye Movement Desensitization and Reprocessing (EMDR) is one of the foremost interventions for posttraumatic stress disorder (PTSD). Treatment aims to desensitise and reprocess trauma memories by combining imaginal exposure to the trauma with concurrent bilateral stimulation, usually in the form of eye movements (EMs). Multiple explanations have been proposed to account for therapeutic effect of EMs in EMDR. This thesis examined a leading theoretical account: the working memory (WM) hypothesis. To investigate the theory that EMs desensitise negative imagery in EMDR by taxing visuospatial WM, a series of experiments were conducted in which healthy subjects formed a visual image depicting …

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Echoes Of Time: An Exploration Of Photography, Land, And Memories, Mary Pearson Jan 2023

Echoes Of Time: An Exploration Of Photography, Land, And Memories, Mary Pearson

School of Art, Design and Architecture Theses

Echoes of Time: an exploration of photography, land, and memories is an art-based research project that investigates how photography can be employed to examine the relationship between land and memory. The artistic output of this research reflects a personal experimental documentation of a meaning of place, the local, the home, and the imagined through the lens of memory and belonging. Belonging, attachment to place, and family connections have been the conduits to encounter, interrogate, and engage through various photographic practices. The use of different visual representations explores attachment and engagement with place and allowed the creative element of this research …

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Measuring The Effectiveness Of Using Rangers To Deliver A Behavior Change Campaign On Sustainable Palm Oil In A Uk Zoo, Katie Major, Daniel Smith Jan 2023

Measuring The Effectiveness Of Using Rangers To Deliver A Behavior Change Campaign On Sustainable Palm Oil In A Uk Zoo, Katie Major, Daniel Smith

School of Psychology

A fundamental objective of modern zoos is promoting pro-environmental behaviors. This study experimentally assessed the contribution of zoo rangers (staff employed to engage visitors) in delivering a behavior change campaign promoting sustainable palm oil use. The campaign was delivered in a dedicated area in a walk-through animal exhibit, with rangers either “present” or “absent” in the campaign space. Questionnaires assessing awareness, knowledge, and purchasing intentions were completed by 1032 visitors. Two analyses were conducted: (1) comparing the impact of ranger presence versus absence (to assess the overall impact of having rangers present regardless of whether they talked to visitors) and …

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Hydrocephalus: A Neuropsychological And Theoretical Primer, Tara Zaksaite, Catherine Loveday, Trudi Edginton, Hugo J. Spiers, Alastair D. Smith Jan 2023

Hydrocephalus: A Neuropsychological And Theoretical Primer, Tara Zaksaite, Catherine Loveday, Trudi Edginton, Hugo J. Spiers, Alastair D. Smith

School of Psychology

Hydrocephalus is a common neurological condition, the hallmark feature of which is an excess in production, or accumulation, of cerebrospinal fluid in the ventricles. Although it is associated with diffuse damage to paraventricular brain areas, patients are broadly typified by a particular pattern of cognitive impairments that include deficits in working memory, attention, and spatial abilities. There have, however, been relatively few neuropsychological accounts of the condition. Moreover, theories of the relationship between aetiology and impairment appear to have emerged in isolation of each other, and proffer fundamentally different accounts. In this primer, we aim to provide a comprehensive and …

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Bottle With A Message: The Role Of Story Writing As An Engagement Tool To Explore Children's Perceptions Of Marine Plastic Litter, Estelle Praet, Jostein Baeza-Álvarez, Veer D De, Geraldine Holtmann-Ahumada, Jen S. Jones, Sarah Langford, Jessica Michel Dearte, John Schofield, Martin Thiel, Kayleigh J. Wyles Jan 2023

Bottle With A Message: The Role Of Story Writing As An Engagement Tool To Explore Children's Perceptions Of Marine Plastic Litter, Estelle Praet, Jostein Baeza-Álvarez, Veer D De, Geraldine Holtmann-Ahumada, Jen S. Jones, Sarah Langford, Jessica Michel Dearte, John Schofield, Martin Thiel, Kayleigh J. Wyles

School of Psychology

As human behaviors play a crucial role in addressing the global threat of plastic pollution, it is vital to understand perceptions about marine plastic litter (MPL) and to develop interventions encouraging pro-environmental behaviors (PEBs). This study evaluates story writing as a window to explore perceptions and as an engagement activity to boost PEBs. During the COVID-19 lockdowns, schoolchildren from the East Pacific coast participated in this activity, each creating a story and answering a pre-post survey. Qualitative and quantitative analysis of 81 stories and 79 surveys show awareness of sources and impacts. Participants identified land and local pollution as significant …

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Understanding Optimisation Processes With Biologically-Inspired Visualisations, Mathew Walter Jan 2023

Understanding Optimisation Processes With Biologically-Inspired Visualisations, Mathew Walter

School of Engineering, Computing and Mathematics Theses

Evolutionary algorithms (EAs) constitute a branch of artificial intelligence utilised to evolve solutions to solve optimisation problems abound in industry and research. EAs often generate many solutions and visualisation has been a primary strategy to display EA solutions, given that visualisation is a multi-domain well-evaluated medium to comprehend extensive data. The endeavour of visualising solutions is inherent with challenges resulting from high dimensional phenomenons and the large number of solutions to display. Recently, scholars have produced methods to mitigate some of these known issues when illustrating solutions. However, one key consideration is that displaying the final subset of solutions exclusively …

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Learning And Planning For Autonomous Systems With Emergent Hierarchical Representations And Decaying Short-Term Memory, Piotr Aleksander Bogdan Jan 2023

Learning And Planning For Autonomous Systems With Emergent Hierarchical Representations And Decaying Short-Term Memory, Piotr Aleksander Bogdan

School of Engineering, Computing and Mathematics Theses

How do we create machines with the ability to capture, record and recall memories of past experience? How should these machines choose the most optimal action based on those stored memories? These seem like crucial questions for creating intelligent machines capable of learning from experience. The field of Artificial Intelligence (AI) is trying to reproduce such capabilities with increasing success. Currently a large portion of AI algorithms are focusing on making decisions based on big sets of learned past experience examples in the form of instantaneous input-output mapping. They operate as discrete models where time is collapsed into independent signal …

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Candidate Evaluation Of National Recruitment In Oral Surgery, Sarah L. Mckernon, Julian Yates, Martin Foster, Pippa Blacklock, Colette Balmer, R. James Spencer Jan 2023

Candidate Evaluation Of National Recruitment In Oral Surgery, Sarah L. Mckernon, Julian Yates, Martin Foster, Pippa Blacklock, Colette Balmer, R. James Spencer

Peninsula Dental School

Abstract. Aim. To ascertain the perceptions and experiences of candidates of national recruitment and multi‐station interviews for the selection of oral surgery specialty trainees to UK during the first 3 years of being introduced. Material and methods. A pre‐piloted questionnaire was administered in paper format to applicants immediately following completion of the final recruitment day. Applicants were asked six questions regarding appropriateness of each of the stations using a Likert scales (1 strongly disagree to 5 strongly agree). Results. During a 3‐year period, feedback was favourable for those stations most likely to be associated with a career in oral surgery, …

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Consumers' Willingness To Pay For An Animal Welfare Food Label, Matthew Gorton, Ching Hua Yeh, Elena Chatzopoulou, John White, Barbara Tocco, Carmen Hubbard, Fiona Hallam Jan 2023

Consumers' Willingness To Pay For An Animal Welfare Food Label, Matthew Gorton, Ching Hua Yeh, Elena Chatzopoulou, John White, Barbara Tocco, Carmen Hubbard, Fiona Hallam

Plymouth Business School

Consumers increasingly rate the ethical dimensions of food production, including animal welfare, as important to them but how these concerns influence their food choices remains unclear. To address this, a Discrete Choice Experiment assesses consumers' willingness to pay for chicken meat. The study aims to understand the effects of food labels (RSPCA Assured and Red Tractor), cause-related marketing campaigns, and price on consumers' willingness to pay. Drawing on a representative sample of 401 British consumers, we estimate a mixed logit model using the hierarchical Bayesian estimation method. The results for the full sample reveal a substantial price premium associated with …

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Analysis Of Factors Affecting Cross-Boundary Knowledge Mobilization In Agri-Food Supply Chains: An Integrated Approach, Guoqing Zhao, Huilan Chen, Shaofeng Liu, Denis Dennehy, Paul Jones, Carmen Lopez Jan 2023

Analysis Of Factors Affecting Cross-Boundary Knowledge Mobilization In Agri-Food Supply Chains: An Integrated Approach, Guoqing Zhao, Huilan Chen, Shaofeng Liu, Denis Dennehy, Paul Jones, Carmen Lopez

Plymouth Business School

Agri-food supply chains (AFSCs) link produce from farm-to-fork. Over 80% of businesses operating in AFSCs are small and medium-sized enterprises (SMEs) that lack the necessary resources to make knowledge accessible and usable to other stakeholders. To enhance AFSCs’ performance, we adopt an integrated approach to analyze factors affecting knowledge mobilization (KMob) across boundaries. Thematic analysis of data collected from interviews reveals 11 KMob factors. We apply total interpretive structural modeling (TISM) to identify influential relationships among these factors, and fuzzy cross-impact matrix multiplication applied to classification (MICMAC) to distinguish each factor’s role in the system. Our results complement previous studies …

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Soil And Wastewater Properties That Influence The Uptake Of Anti(Retro)Viral Pharmaceuticals In Plants, Preston Chebai Akenga Jan 2023

Soil And Wastewater Properties That Influence The Uptake Of Anti(Retro)Viral Pharmaceuticals In Plants, Preston Chebai Akenga

School of Geography, Earth and Environmental Sciences Theses

This study evaluated the fate of anti(retro)viral (ARVDs) pharmaceutical compounds in the wastewater-soil-plant-human continuum. Wastewater frequently contains pharmaceutical micropollutants. A cause to worry is the potential uptake and bioaccumulation of these biologically active contaminants via the plant's roots into the edible tissues, posing a health threat to non-target consumers. Presently, the influence of the wastewater and soil parameters (pH, soil organic matter, dissolved organic carbon) on the uptake patterns of the (ARVDs) pharmaceutical compounds is unclear. Hydroponic and pot-soil experiments were utilized to assess the ARVD accumulation in lettuce (Lactuca sativa). Spiked freshwater (stored rainwater) and synthetic wastewater (adopted as …

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Analysis Of Hippo Pathway Signalling In Schwannoma And Meningioma, Julio Grimm De Guibert Jan 2023

Analysis Of Hippo Pathway Signalling In Schwannoma And Meningioma, Julio Grimm De Guibert

Peninsula Medical School Theses

This project focuses on two tumours of the nervous system, schwannoma and meningioma. A large group of schwannomas and meningiomas display the inactivation of the NF2 gene. The NF2 gene codes for the tumour suppressor protein Merlin and its loss is associated with a multitude of pro-tumourigenic mechanisms leading to the occurrence of schwannomas and meningiomas. The loss of Merlin function causes augmented Hippo signaling i.e. interaction of YAP and TAZ, both co-activators of gene expression and the two main effectors of the Hippo signalling pathway, and TEAD, a group of transcription factors binding to YAP and TAZ. There resulting …

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Investigation Of Microbiome Metabolites And Mitochondrial Function In A Model Of Non-Alcoholic Fatty Liver Disease, Paula Boeira Jan 2023

Investigation Of Microbiome Metabolites And Mitochondrial Function In A Model Of Non-Alcoholic Fatty Liver Disease, Paula Boeira

Peninsula Medical School Theses

Several dietary metabolites produced by gut bacteria have been linked to disease including non-alcoholic fatty liver disease (NAFLD). Trimethylamine N-oxide (TMAO) and phenylacetic acid (PAA) are microbiome-derived metabolites that have been associated with early onset of NAFLD. Hypothesising that these metabolites contribute to lipid deposition in the liver by altering hepatic mitochondrial function, we assessed how TMAO and PAA affect hepatocyte bioenergetics in cell models of liver steatosis. Proliferative and differentiated HepaRG cells were cultured under standard conditions, and steatosis was established by 48h exposure to oleate and palmitate (2:1 molar ratio). Lipid accumulation was assessed by BODIPY™ staining and …

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Evaluation Of Mir-497 & Mir-219 As Non-Invasive Biomarkers For Meningioma And Glioma, Ahmed Abdelrahman Jan 2023

Evaluation Of Mir-497 & Mir-219 As Non-Invasive Biomarkers For Meningioma And Glioma, Ahmed Abdelrahman

Peninsula Medical School Theses

Introduction: The current WHO classification aids in predicting meningioma and glioma recurrence and prognosis. However, there is a dearth of circulating biomarkers with clinical value for meningioma diagnosis and classification. Circulating miRNAs have shown potential as cancer biomarkers in various tumours. This study evaluated specific miRNAs, miR-497 and miR-219, as convenient and efficient predictors of meningioma and glioma grades. MiR-497 was selected based on preliminary results from Professor Hannemane's group, indicating its potential as a meningioma biomarker. MiR-219 was chosen because of its reported differential expression according to meningioma grade. Methods: Serum and exosomal levels of miR-497 were studied in …

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Anastomotic Leakage In Rectal Surgery: Where Are We And Where Do We Go From Here?, Benjamin William Peter Rossi Jan 2023

Anastomotic Leakage In Rectal Surgery: Where Are We And Where Do We Go From Here?, Benjamin William Peter Rossi

Peninsula Medical School Theses

Anastomotic leak in colorectal surgery is a significant complication which is feared by surgeons and has considerable consequences for patients. It affects up to 17% of rectal resections and although there is significant knowledge regarding its detection and treatment, there are still no reliable methods for its prevention. We proposed the routine use of intra-operative endoscopy as a method of reducing the risk of anastomotic leak. This thesis explores current knowledge regarding anastomotic leaks, including the causes, prevention and management. We also present the findings from a feasibility trial into intra-operative endoscopy as a method for reducing anastomotic leak rate. …

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Testing The Adequacy Of Formal Models Of An Irrational Learning Effect, Lenard Dome Jan 2023

Testing The Adequacy Of Formal Models Of An Irrational Learning Effect, Lenard Dome

School of Psychology Theses

The inverse base-rate effect (IBRE) is an irrational phenomenon in predictive learning characterized by as a preference for rare, unlikely outcomes in the face of ambiguity. This thesis investigates the adequacy of formal explanations for this puzzling phenomenon. In the first project, I will focus on mechanisms of learning that mathematical models posit underlie this preference. A class of attentional explanation produces a counter-intuitive prediction: the effect disappears under concurrent load. I confirm the prediction, but only when participants were under an obvious time constraint -- irrationality reduces under increased task demands. This suggests that multiple learning mechanisms operate independently …

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An Analysis Of The Iranian Post-Earthquake Management And Structural Assessment System, Nirvan Razaghi-Kashani Jan 2023

An Analysis Of The Iranian Post-Earthquake Management And Structural Assessment System, Nirvan Razaghi-Kashani

School of Engineering, Computing and Mathematics Theses

This thesis investigated the theory and practice of structural assessment, as a component in a more extensive post-earthquake disaster management system. The research focused on Iran as a case study, and in particular the capital city of Iran (Tehran). This study aimed overview of the system used for post-earthquake disaster management and structural assessment in Tehran. This thesis examined three specific sub-components of the system, namely: The Earthquake Information Management System (EIMS), seismic hazard education programs, and initiatives to engage communities in the disaster management process. A blended phenomenological and ethnographic approach provided the basis for the analysis of collected …

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Adaptive Cybersecurity Training Framework For Social Media Risks, Fai Ben Salamah Jan 2023

Adaptive Cybersecurity Training Framework For Social Media Risks, Fai Ben Salamah

School of Engineering, Computing and Mathematics Theses

Social media has become embedded in our everyday lives, personal activities, and the workplace. Thus, educating users on emerging cybersecurity challenges for social media has become imperative. In this project, a systematic literature review (SLR) was conducted and a mix of approach analyses to derive a framework that identifies the activities involved in adapting cybersecurity training for social media risks. I collected answers from 641 Kuwaiti employees in various sectors: education, healthcare, leadership and management, arts, entertainment, the police, and military, and interviewed 25 people who serve as policymakers, cybersecurity trainers, and those who have experienced cybersecurity training before. The …

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A Platform As A Service Framework For Ambient Assisted Living Services, Hendrik Dr. Kuijs Jan 2023

A Platform As A Service Framework For Ambient Assisted Living Services, Hendrik Dr. Kuijs

School of Engineering, Computing and Mathematics Theses

The primary objective of Ambient Assisted Living (AAL) technology is to provide aid and assistance to individuals, particularly the elderly, in maintaining their independence and residing in their own homes and their known environment for an extended duration. AAL technology is becoming increasingly important due to the continuous decrease of birth-rate and increasing life expectancy, leading to a shrinking proportion of younger population in developed countries. This research proposes a cloud-based platform as a service (PaaS) for AAL that enables service providers to deliver services without the need for the user to invest in expensive technical equipment in advance, thus …

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The Application Of Data Analytics Technologies For The Predictive Maintenance Of Industrial Facilities In Internet Of Things (Iot) Environments, Thomas Rieger Jan 2023

The Application Of Data Analytics Technologies For The Predictive Maintenance Of Industrial Facilities In Internet Of Things (Iot) Environments, Thomas Rieger

School of Engineering, Computing and Mathematics Theses

In industrial production environments, the maintenance of equipment has a decisive influence on costs and on the plannability of production capacities. In particular, unplanned failures during production times cause high costs, unplanned downtimes and possibly additional collateral damage. Predictive Maintenance starts here and tries to predict a possible failure and its cause so early that its prevention can be prepared and carried out in time. In order to be able to predict malfunctions and failures, the industrial plant with its characteristics, as well as wear and ageing processes, must be modelled. Such modelling can be done by replicating its physical …

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Investigation Of Expanding Diffuser Based Wind Generation System For Use In Scaled Hydrodynamic Testing Of Floating Offshore Wind Turbines, Jessica Guichard Jan 2023

Investigation Of Expanding Diffuser Based Wind Generation System For Use In Scaled Hydrodynamic Testing Of Floating Offshore Wind Turbines, Jessica Guichard

School of Engineering, Computing and Mathematics Theses

Floating offshore wind turbines present a great potential for harnessing the power of offshore wind and meeting future energy demands. Though some floating offshore wind farms have already been commissioned, research on floating offshore wind turbine platforms needs to be pursued, in particular for the purpose of cost reduction. In this context, the ability to conduct scaled hydrodynamic testing of floating offshore wind turbine platforms is an important advantage for a wave tank. The COAST Laboratory of the University of Plymouth aims to provide this possibility. The wave tank being built before the decision to add a wind generation system …

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Bond Behaviour Between Carbon Fibre Strand And Mortar Under Marine Environment, Jie Ji Jan 2023

Bond Behaviour Between Carbon Fibre Strand And Mortar Under Marine Environment, Jie Ji

School of Engineering, Computing and Mathematics Theses

Owing to the steel corrosion in traditional steel reinforced concrete structures exposed to marine environment, the present study explores carbon fibre textile reinforced mortar (TRM) as the alternative construction material. Moreover, sea sand and seawater can be used in casting mortar in this study, because carbon fibre is non-corrosive. Focusing on the long-term bond degradation at the interface between the carbon fibre strand (CFS) and mortar in carbon fibre TRM under marine environments, experimental and numerical investigations have been carried out by using single CFS-reinforced mortar (CFSRM) specimens. Interfacial debonding is one of the key failure modes in TRM, due …

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Modelling Of Chloride Transport In Concrete, Lixuan Mao Jan 2023

Modelling Of Chloride Transport In Concrete, Lixuan Mao

School of Engineering, Computing and Mathematics Theses

Chloride-induced corrosion of reinforcing steel has been recognized as the primary factor in degrading the durability of reinforced concrete structures exposed to chloride-rich environments. This research aims to investigate the underlying mechanisms of ionic transport behaviors in both natural and recycled aggregate concrete and to develop accurate and reliable prediction models to estimate the chloride transport processes during diffusion and migration tests. Based on the understanding of ionic diffusion, electromigration, polarization, and physicochemical reactions, several numerical and analytical models for chloride penetration in heterogenous concrete are proposed. Firstly, Poisson, Laplace, and current conservation models are developed based on Gauss’s law …

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Single-System And Dual-Process Accounts Of Explicit And Implicit Memory, Rory Wilfrid Spanton Jan 2023

Single-System And Dual-Process Accounts Of Explicit And Implicit Memory, Rory Wilfrid Spanton

School of Psychology Theses

While some expressions of memory are accompanied by conscious awareness, others do not elicit this awareness yet still impact task performance. Theorists have long questioned whether these explicit and implicit forms of memory are governed by separate cognitive systems or a single system. There is much behavioural evidence for multiple-systems and dual-process accounts, mainly focusing on studies of recognition memory and long-term repetition priming. However, experimental results and mathematical modelling have shown the ability of a single-system account to explain the relationship between various forms of explicit and implicit memory. This thesis uses behavioural experiments and mathematical modelling to further …

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Graphene-Based Biosensors For Quantitative Characterisation Of Dna Methylation, Mina Safarzadeh Jan 2023

Graphene-Based Biosensors For Quantitative Characterisation Of Dna Methylation, Mina Safarzadeh

School of Engineering, Computing and Mathematics Theses

DNA methylation is associated with various diseases including cancer, cardiovascular diseases and neurodegenerative disorders, making it a potential biomarker to diagnose and prognose these diseases. Hence, a tool to detect and quantify DNA methylation can be valuable to improve clinical tests. In this thesis, we report two different biosensors for the detection and quantification of methylated tumour suppressor gene, O-6-methylguanine-DNA methyltransferase (MGMT), which is a potential biomarker for brain tumours and breast cancer. Both of the reported biosensors in this thesis are based on screen-printed reduced graphene oxide electrodes (rGO SPEs) and are electrochemical biosensors. In the Ab/ssDNA biosensor the …

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Phenomenology From Lattice Field Theory Simulations, Gaurav Sinha Ray Jan 2023

Phenomenology From Lattice Field Theory Simulations, Gaurav Sinha Ray

School of Engineering, Computing and Mathematics Theses

Lattice QCD is a well-established ab initio probe of the Strong interaction in the low energy nonperturbative regime. As a systematically improvable numerical tool it has proven an effective means of validating the Standard Model against observations from particle physics experiments. In this thesis two topics of phenomenological importance are studied on lattices generated with the Nf = 2+1+1 Highly Improved Staggered Quark action, the spectroscopy of hybrid charmonium mesons, and the hadronic vacuum polarisation. Chapters 1 and 2 serve as a brief introduction to the lattice and provide the relevant background on the theoretical concepts. Basic ingredients such as …

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Optimizing Flow Routing Using Network Performance Analysis, Muna Al-Saadi Jan 2023

Optimizing Flow Routing Using Network Performance Analysis, Muna Al-Saadi

School of Engineering, Computing and Mathematics Theses

The main task of a network is to hold and transfer data between its nodes. To achieve this task, the network needs to find the optimal route for data to travel by employing a particular routing system. This system has a specific job that examines each possible path for data and chooses the suitable one and transmit the data packets where it needs to go as fast as possible. In addition, it contributes to enhance the performance of network as optimal routing algorithm helps to run network efficiently. The clear performance advantage that provides by routing procedures is the faster …

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Immersive Multidimensional Data Visualisation Using Geon Based Objects, Marius Varga Jan 2023

Immersive Multidimensional Data Visualisation Using Geon Based Objects, Marius Varga

School of Engineering, Computing and Mathematics Theses

In an ever-expanding technologically driven society large amounts of data are being generated daily. The sheer volume of data is becoming a challenge to understand or use in the decision-making process. This is not only limited to businesses, politicians or scientists but it is becoming more relevant to the general public as well. The data has become a commodity, but its value is closely tied to our ability, as data owners, to extract meaning from it. Typically, the process is complex and mainly reserved for proficient data scientists who are familiar with the process of extracting information and the specialised …

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Shanshuihua: ‘Mountain-Water-Painting’ For An Ecological Age, Lei Liu Jan 2023

Shanshuihua: ‘Mountain-Water-Painting’ For An Ecological Age, Lei Liu

School of Art, Design and Architecture Theses

This practice-led research project appraises the tradition of shanshuihua, or ‘mountain-water painting’, within broader traditions of Chinese ink painting, or shuimohua, and, through links with ancient Chinese philosophies, considers its continuing relevance to contemporary painting, and modern ecological themes, both in China and beyond. The research initially assesses historical connections between ink painting and the fundamental philosophies of Chinese history and culture, namely Confucianism, Taoism and Buddhism, and maps certain connections to the development of shanshuihua. Through a series of interviews with contemporary Chinese artists, the project investigates whether the influence of these philosophic traditions have a continuing significance to …

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