56 10 900 https://linen-dog.lnx.warwick.ac.uk/files/original/489977e99db0bedc6abbecda8c479779.pdf 4f41d64dd43ae80773557c7e4d18cbd5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mathematics Academic Paper An academic paper Abstract The abstract of the paper It is hypothesised that both cancer cell growth and chemotherapy drug tolerance can be dependent on the circadian rhythm, causing differences in treatment efficiency at different times of the day. Chronotherapy aims to exploit this dependency to provide an optimal treatment plan for patients. This plan seeks to maximise the elimination of cancer cells while minimising drug toxicity resulting from chemotherapy. This paper aims to extend previous works and provide analyses of optimal solutions for various cancer treatment models, including scenarios in which growth is partially coupled with the circadian rhythm, cases where drugs target growth, and models that account for delayed drug effects. Using Pontryagin’s Minimum Principle (PMP), we found the switching function of each model that decides the optimal time period to apply or stop the drugs. In the first two models, we noted the aperiodic switching between full and no drugs in optimal solutions and explored the nature of the switching zones. While the optimal solution for the last case is complex, it is proven to be bang-bang and can be reduced to a simpler growth model using the Pseudo-Steady State Hypothesis (PSSH) for sufficiently fast drug absorption speeds. Furthermore, we presented the backward integration method to analyse the nature of optimal solutions. The exploration of optimal solutions provides a better understanding of optimal treatment plans for chronotherapy models and offers insights into potential future analyses of more complex and clinically applicable models. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimal Solutions of Chronotherapy Models Subject The topic of the resource Mathematics Creator An entity primarily responsible for making the resource Xingyu (Steve) Wu Date A point or period of time associated with an event in the lifecycle of the resource 2023 Chronotherapy Mathematics Non-autonomous Dynamical Systems Optimal Control Xingyu (Steve) Wu https://linen-dog.lnx.warwick.ac.uk/files/original/b6f9e165eeff2ade4c06d7ef54ffd82c.pdf 8223200a17cf0e0c0b9a57b74a1f00cd Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mathematics Academic Poster An academic poster Abstract The abstract of the paper Optimal Vaccination for Age-Based Influenza Models Meta Tags Meta tags Epidemiology, Mathematical Modelling, Influenza, Simulation, Vaccination Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ben Jordan Contributor An entity responsible for making contributions to the resource Mike Tildesley Subject The topic of the resource Mathematics Title A name given to the resource Optimal Vaccination for Age-Based Influenza Models Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/be0a4fb302b1cb1f995a3dd0604f85f4.pdf 2351ee286111814471054c565b8281a4 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mathematics Academic Poster An academic poster Abstract The abstract of the paper How can we accurately detect and locate a modification on an RNA molecule using nanopore sequencing data? This is an open problem that requires ideas from both statistics and biology. Supervised by Professors Anastasia Papavasiliou and Jon Forster, I began by simulating the signal data from Oxford Nanopore devices, where a sliding window reads five bases on the mRNA chain at a time. Using R, we constructed a statistical framework which involves working with different distributions such as poisson, inverse gamma and the normal distribution to generate signal values. Then we analysed our signal values, performing hypothesis tests and calculating maximum likelihood scores in order to determine where modifications are likely to be on the mRNA chain. This year, after gaining valuable biological insight at the Laboratory of Immune Diversity in the German Cancer Research Centre in Heidelberg, I have created a greedy search algorithm to maximise our likelihood score and detect RNA modifications from the signal data. To improve the accuracy, we included a posterior likelihood calculation into our score and I also coded a birth-death algorithm. Then, I tested both methods with multiple reads (signal lists) per mRNA type which proved to be more accurate and created interesting results! Meta Tags Meta tags #Statistics, #Biology, #Mathematics, #Optimisation, #Algorithms, #RNA, #Interdisciplinary, #Coding, #Data Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Jessie (Jie) Zhao Contributor An entity responsible for making contributions to the resource Professor Anastasia Papavasiliou and Professor Jon Forster Title A name given to the resource Optimisation of a Statistical Framework for Locating RNA modifications from Nanopore Sequencing Data Subject The topic of the resource Statistics & Mathematics https://linen-dog.lnx.warwick.ac.uk/files/original/114fe267f480b74c126a73f5a000055c.pdf cb841910fdcf547b47aa493c5c53229d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Poster An academic poster Abstract The abstract of the paper How can we accurately detect and locate a modification on an RNA molecule using nanopore sequencing data? This is an open problem that requires ideas from both statistics and biology. Supervised by Professors Anastasia Papavasiliou and Jon Forster, I began by simulating the signal data from Oxford Nanopore devices, where a sliding window reads five bases on the mRNA chain at a time. Using R, we constructed a statistical framework which involves working with different distributions such as poisson, inverse gamma and the normal distribution to generate signal values. Then we analysed our signal values, performing hypothesis tests and calculating maximum likelihood scores in order to determine where modifications are likely to be on the mRNA chain. This year, after gaining valuable biological insight at the Laboratory of Immune Diversity in the German Cancer Research Centre in Heidelberg, I have created a greedy search algorithm to maximise our likelihood score and detect RNA modifications from the signal data. To improve the accuracy, we included a posterior likelihood calculation into our score and I also coded a birth-death algorithm. Then, I tested both methods with multiple reads (signal lists) per mRNA type which proved to be more accurate and created interesting results! Meta Tags Meta tags #Statistics, #Mathematics, #Biology, #Optimisation, #Algorithms, #RNA, #Interdisciplinary, #Coding, #Data Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Jessie (Jie) Zhao Contributor An entity responsible for making contributions to the resource Professor Anastasia Papavasiliou and Professor Jon Forster Subject The topic of the resource Statistics Title A name given to the resource Optimisation of a statistical framework for locating RNA modifications from Nanopore sequencing data Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/865dd480b20482974af3174b2a94a0f9.pdf f354e71da9a650ec81199bf4511ff627 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Paper An academic paper Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimisation of machine learning methods to better handle ATLAS detector data for Higgs doublet decay Subject The topic of the resource Physics Creator An entity primarily responsible for making the resource Alex Darbyshire Date A point or period of time associated with an event in the lifecycle of the resource 2023 Alex Darbyshire ATLAS Higgs doublet decay machine learning techniques Physics https://linen-dog.lnx.warwick.ac.uk/files/original/faa5bfeee3eaec583457ab02d1a20fc0.pdf bd1cab6f14870c3296a88c7891bebe02 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Poster An academic poster Abstract The abstract of the paper My poster discussing the optimisation of the synthesis of P(DMAEMA)100 and its potential use in antimicrobial therapy Meta Tags Meta tags Synthetic chemistry Polymer chemistry Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Oliver Danton Contributor An entity responsible for making contributions to the resource Prof Sébastien Perrier Subject The topic of the resource Chemistry Title A name given to the resource Optimisation of P(DMAEMA)100 synthesis via RAFT polymerisation for use in antimicrobial therapies https://linen-dog.lnx.warwick.ac.uk/files/original/fcc35e02bbef189f136f9ce0aed1a6c9.pdf 7d1e6176dc8a79c9f11b7d107f77b21f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Poster An academic poster Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimising Optics for LHC's TORCH Detector Subject The topic of the resource Physics Creator An entity primarily responsible for making the resource Oscar Miller Date A point or period of time associated with an event in the lifecycle of the resource 2023 CERN LHCb Oscar Miller particle physics Physics torch https://linen-dog.lnx.warwick.ac.uk/files/original/369afd4aa1fd8a148f009053eed3a4c6.pdf 838d693c2dab3220b564793b25570438 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Poster An academic poster Meta Tags Meta tags Polymers, Polymer, Polymerisation, Antibodies, lateral flow tests, covid, covid 19, GPC Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ava Chapman Contributor An entity responsible for making contributions to the resource Dr Alex Baker, Douglas Soutar Subject The topic of the resource Life Sciences Title A name given to the resource Optimising polymer synthesis for detection in lateral flow test devices Date A point or period of time associated with an event in the lifecycle of the resource 2024 https://linen-dog.lnx.warwick.ac.uk/files/original/83fac1bf8668f07a83b9082906652e2b.pdf fb27a9876965d81305486a873fd7dfc3 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Poster An academic poster Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimized Data Collection Methodologies using Dedicated Electron Diffractometer Subject The topic of the resource Physics Creator An entity primarily responsible for making the resource Max Turner Date A point or period of time associated with an event in the lifecycle of the resource 2023 Electron Diffractometer Max Turner Physics solvent vapour pressure https://linen-dog.lnx.warwick.ac.uk/files/original/c0ed80b05598a44868f03dd1d52a6824.pdf 9d151618a2715f1f90f624f83a222648 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Science, Engineering and Medicine Academic Poster An academic poster Abstract The abstract of the paper Ghana possesses over 1.9 million hectares of irrigable land, yet less than 3% is currently utilized, with agriculture remaining largely rainfed. This research explores the transformative potential of Variable Frequency Drives (VFDs) in modernizing irrigation systems to address inefficiencies in energy use, water distribution, and equipment longevity. By integrating advanced motor control techniques and real-time systems using dSPACE MicroAutoBox III, the study demonstrates how VFDs can significantly reduce power consumption, mechanical stress, and over-irrigation. Mathematical modeling and Hardware-in-the-Loop (HIL) testing validate the system’s performance under dynamic conditions. Results show up to 50% energy savings and 30% water conservation during partial load operations. The research recommends pilot deployments, technician training, and solar-VFD integration to support Ghana’s 2025 electrification goals. VFD technology offers a scalable, sustainable solution for enhancing agricultural productivity and resource efficiency across Ghana’s irrigation landscape. Meta Tags Meta tags Ghana irrigation, VFD, sustainable agriculture, motor control, energy efficiency, solar irrigation, smart farming Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Francis Amegbor Contributor An entity responsible for making contributions to the resource Dr Oleh Kiselychnyk Subject The topic of the resource Engineering Title A name given to the resource Optimizing Ghana's Irrigation Systems with Variable Frequency Drives (VFDs): Advanced Motor Control for Sustainable Agricultural Development Date A point or period of time associated with an event in the lifecycle of the resource 2025