84 10 851 https://urss.warwick.ac.uk/files/original/30396bd7df8950db20014fa871df45f1.pdf a1634490f6c580de190109fdf9574c51 Academic Poster An academic poster Abstract The abstract of the paper The aim of this article is to prove the analytic continuation and functional equation of the Dedekind zeta function associated with abelian Galois number fields. The method used intertwines Fourier analysis, Artin decomposition, and Mellin transforms of Dirichlet L-functions. We first establish the functional equation for a general Dirichlet L-function, using theta functions and Poisson summation. Moreover, applying Artin decomposition to cyclotomic fields gives the analytic continuation of the Dedekind zeta function for prime cyclotomic extensions. We then use the Kronecker-Weber theorem about abelian field extensions to extend this method to work for abelian number fields. Meta Tags Meta tags Algebraic Number Theory, Representation Theory, Galois Theory 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 On the Analytic Continuation of the Dedekind Zeta Function of Abelian Galois Number Fields Creator An entity primarily responsible for making the resource Samay Varjangbhay Contributor An entity responsible for making contributions to the resource Dr Alvaro Gonzalez Hernandez Subject The topic of the resource Pure Mathematics https://urss.warwick.ac.uk/files/original/430f46cadc18c0baafc7dc94130324d0.ppt b71cd4ca51ef544a71afb3768b4bb193 Presentation Meta Tags Meta tags structural identifiability, practical identifiability, experimental design, parameter estimation, organophosphate poisoning, acetylcholinesterase, oxime, enzyme reactivation, split sample, compartmental modelling, toxicology 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 Antidote Timing in Organophosphate Poisoning: What a Clinical Measurement Can Determine Description An account of the resource Organophosphate pesticides disable the enzyme a nerve needs to switch itself off. From that moment a race runs between two outcomes: the enzyme ages, after which nothing available brings it back, or an oxime antidote rescues it. Depending on the compound the race lasts from six minutes to nearly six days. Self-poisoning with these compounds kills around 110,000 people a year, and antidote trials have not shown a survival benefit. This project asks what a blood test can tell a clinician about that race. It can show how fast the window is closing, and nothing about how much enzyme is left to save. Splitting the sample already drawn and dosing each half either side of the antidote’s binding constant recovers that second number in simulation. Creator An entity primarily responsible for making the resource Aaron Yan Ming Tan https://urss.warwick.ac.uk/files/original/4afe028651d89bb82776b44d3fac6817.pdf 9333eac208738116ef2f53789ecfbfbf 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 Presentation 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 Investigating the efficacy of polymeric nanoparticle -encapsulated Rifampicin against Staphylococcus aureus (S. aureus) biofilms Subject The topic of the resource Warwick Medical School Description An account of the resource 'This summer, I joined the Unnikrishnan Lab at Warwick Medical School, where my project focused on addressing the growing challenge of antimicrobial resistance (AMR). I investigated the potential of polymeric nanoparticle systems as a novel approach to antibiotic delivery. These nanoparticles act to encapsulate antibiotics, penetrate bacterial biofilms and release their payload at the target site, potentially improving antimicrobial efficacy against biofilm-associated bacteria. The project involved evaluating the in vitro efficacy of these nanoparticle formulations in delivering Rifampicin to Staphylococcus aureus (S. aureus) biofilms to determine their potential as an effective strategy for enhancing antibiotic delivery and combating biofilm-associated infections. These results successfully showed that nanoparticle-encapsulated Rifampicin retains its antimicrobial activity against S. aureus biofilms. Creator An entity primarily responsible for making the resource Sharon Oladapo Date A point or period of time associated with an event in the lifecycle of the resource 2026 antimicrobial resistance biofilms rifampicin S aureus https://urss.warwick.ac.uk/files/original/7f7bb3bb3e8053b4f2ba256dda1d7db3.png fc64b2bf5d44b343f57b1dd4dbb5416e Academic Poster An academic poster Abstract The abstract of the paper This project aimed to synthesise dicarbamates and investigate their electrochemical transformation through electrolysis. Dicarbamates were synthesised using diisocyanate and glycol alcohol starting materials in the presence of dibutyltin dilaurate (DBTDL) as a catalyst. The products were monitored using thin-layer chromatography (TLC), purified by column chromatography, and characterised using nuclear magnetic resonance (NMR) spectroscopy. The purified dicarbamates were subsequently subjected to electrolysis to investigate their electrochemical reactivity. Meta Tags Meta tags Organic Chemistry, Dicarbamate Synthesis, Electrochemistry, Electrolysis, Organic Synthesis, Purification, Nuclear Magnetic Resonance Spectroscopy 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 Synthesis and Electrolysis of Dicarbamates Creator An entity primarily responsible for making the resource Amaya Patel https://urss.warwick.ac.uk/files/original/2c0056b1ebcf4ac0662b11e0529c3cbc.pdf d67e45639b39ee2da628f9dae5cd83c6 Academic Poster An academic poster Abstract The abstract of the paper Meta Tags Meta tags English learning, motivations, aspirations, bilingual policy 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 Becoming Bilingual: Aspirations and Motivations to Learn English for Junior High Students in Rural Taiwan Creator An entity primarily responsible for making the resource Pinga Chen Contributor An entity responsible for making contributions to the resource Dr Rachel Lewis Subject The topic of the resource Sociology https://urss.warwick.ac.uk/files/original/87d8eb058337b48a341ca8fff2d125ae.pdf 16dc8401fb9592b7f7378360127482a8 Academic Paper An academic paper Abstract The abstract of the paper This paper introduce different initial private beliefs into a repeated one-side matching markets. In real life matching, judging others based on first impressions is inevitable and these impressions are subjective and maybe inaccurate. We show that, under sufficient learning, each agent eventually become either a permanent solo or a member of a persisting pair. The initial beliefs play an important role because they will affect the opportunity to form pairs and subsequent interactions. Hence, the initial information state will affect the lower bounds of the expected proportions of these eventual outcomes through its effect on the probability that the conditions for each eventual outcomes required are satisfied. We use simulations under specific assumptions about the initial belief distribution and true type distribution to examine how first impressions and population size affect the matching outcomes over a finite horizon. The simulation results reflect how the tight pairing restrictions of the model affect the proportion of agents who remain solo. Meta Tags Meta tags Economics, Game Theory, Matching 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 One-Sided Partner Matching Under Ex-Ante Uncertainty: From Initial Beliefs to Final Proportions Subject The topic of the resource Economics Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource Man-Chit Chang https://urss.warwick.ac.uk/files/original/81f18765fafdbed5fa51246bfd7f4400.png db5808f60f4473adbe8daccce2186ed9 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 Synthesis of Cleavable Macrocycles via Photoredox Catalysis Creator An entity primarily responsible for making the resource Lauren Wells Subject The topic of the resource Synthesis of Cleavable Macrocycles via Photoredox Catalysis https://urss.warwick.ac.uk/files/original/2914ac2ef3ddd1bb5b8dcebf3313cb4e.pdf 06041db4d7bd1f33b5834205c62a3bc1 Academic Paper An academic paper Abstract The abstract of the paper Genetically identical cells in the same conditions can contain different numbers of messenger RNA (mRNA) molecules from the same gene, as transcription and mRNA degradation are stochastic events. We ask how the way a transcription factor controls a gene shapes this variation between cells, using the copper-responsive yeast gene CUP1 and its transcription factor Ace1p as the biological setting. We develop a model in five stages: constitutive production; a promoter that switches between OFF and ON; activation controlled by a fixed Ace1p input; explicit Ace1p binding at the four CUP1 response elements; and a reduced two-state model whose activation rate is a Hill function of the input. For each stage we derive the steady-state mean and Fano factor (variance divided by mean) and check them against exact Gillespie simulations. When the input controls only how often the promoter switches ON, a stronger input raises the mean and lowers the Fano factor, whilst the mean burst size stays fixed. Following binding at four sites shows that the input also lengthens ON periods, so it changes burst size as well as burst frequency. With the illustrative parameters used here, a Hill reduction calibrated to the four-site model reproduces its mean to within about 10% over the inputs studied, but underestimates the Fano factor by up to about 19% and overestimates the burst frequency by up to about 168%. Preserving the average mRNA level therefore does not preserve the variation between cells. Meta Tags Meta tags mathematical biology, stochastic modelling, gene expression, transcriptional bursting, transcription factors, Ace1p, CUP1, yeast, Gillespie algorithm, Fano factor, model reduction 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 Stochastic modelling of transcriptional bursting modulated by transcription-factor binding: the Ace1p–CUP1 system in yeast Subject The topic of the resource Mathematical biology: stochastic modelling of gene expression and transcriptional bursting Date A point or period of time associated with an event in the lifecycle of the resource 2026 Contributor An entity responsible for making contributions to the resource Deven Parmar (author); Prof. Bärbel Finkenstädt (supervisor) https://urss.warwick.ac.uk/files/original/bfe6b60e83f72dbcf226c007a18fb0ed.pdf 62180f64409081eb023c61db36952b74 Academic Poster An academic poster Abstract The abstract of the paper This project investigates the MIPS of swimming cells with the aim of producing an experimental protocol to reliably observe the phenomenon. Consequently, this project hopes to quantify critical radii and concentrations at which this phase separation occurs in confined 2D droplets . Meta Tags Meta tags Physics, microfluidics, Bacillus Subtilis, experimental data, Active matter 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 Toward Observing Motility-Induced Phase Separation of Confined Swimming Bacteria Creator An entity primarily responsible for making the resource Elisha Caguiat Contributor An entity responsible for making contributions to the resource Supervisor: Dr Vasily Kantsler Subject The topic of the resource Physics https://urss.warwick.ac.uk/files/original/26fa16fc388e494a36a6ed8e4ef7d2a9.pdf 01aca98ee74a4d842c6f47f888356215 Academic Paper An academic paper Abstract The abstract of the paper We consider two-layer ReLU networks with two symmetric neuron pairs and a skip connec- tion, constrained to interpolate four symmetric data points. We study the KKT points of the squared-norm minimisation problem, where the biases and skip connection are unpenalised. By constructing feasible descent directions, we show that every KKT point represents the unique ridgeless interpolant. We further establish that KKT points have balanced parame- ters and no cancellation between coincident slope jumps. Combining these results with the relationship between the squared norm and total variation, we prove that every feasible KKT point is a global minimiser of the squared-norm interpolation problem. Meta Tags Meta tags ReLU Neural Networks, KKT Conditions, Ridgeless Interpolation, Total Variation, Mathematical Optimisation, Minimum-Norm Interpolation 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 KKT Points and Ridgeless Interpolation in Symmetric ReLU Networks Subject The topic of the resource Theoretical Machine Learning Date A point or period of time associated with an event in the lifecycle of the resource 15th October 2026 Contributor An entity responsible for making contributions to the resource Dominik Vuko