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              <text>Universities in the UK are under growing pressure to improve their entrepreneurial output, with graduate start-ups becoming an increasingly important knowledge exchange outcome. Studies suggest that graduate start-up outcomes are linked to resources invested in a university’s ‘teaching’ mission, such as entrepreneurial education and training. However, results remain mixed and associational. This paper therefore asks whether increased university teaching focus causes an increase in graduate start-up creation and turnover. Using data from the Higher Education – Business and Community Interaction survey from 2008/09 to 2014/15, this paper exploits the 2012 tuition fee reform in England to proxy for an increased focus on English universities’ teaching missions and estimates a difference-in-differences model with Scottish universities as a control. The results show that after the reform, there was a significant increase in English graduate start-up creation compared to Scotland. The result is not driven by elite or London-based institutions. However, the effect loses significance in an uncontrolled specification from 2008/09 to 2024/25. There is also largely no evidence of an effect on graduate-start up turnover throughout.</text>
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              <text>Entrepreneurship, Teaching, Knowledge Exchange,  Universities</text>
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                <text>The Impact of Teaching on Graduate Entrepreneurship in the UK: Evidence from England and Scotland, 2008/09–2014/15</text>
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                <text>Investigating whether increased HEI teaching focus causes an improvement in graduate start-up outcomes.</text>
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            <name>Date</name>
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                <text>October 2026</text>
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                <text>Argyris Demetriou</text>
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      <name>Academic Poster</name>
      <description>An academic poster</description>
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          <name>Abstract</name>
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              <text>This project asks whether the securitisation of UK economic security is driven by objective vulnerabilities in energy and trade, or by the use of security framing as a political strategy to advance contested agendas while limiting normal oversight. It tests the question by auditing six UK policy decisions taken since 2021 against the security criteria their own public justifications invoked. Energy security is measured through availability, affordability, diversity, reliability and resilience. Trade security is measured through market access, partner diversification, exposure to unilateral discretion and stability of terms, drawing on Hirschman and on Farrell and Newman’s work on weaponised interdependence. Five of the six policies fail their own test. The ban on Russian energy imports removed a small exposure but did nothing about the mechanism that passed the 2022 price shock on to British consumers. North Sea licensing is defended on security grounds by both its supporters and its opponents, yet neither position delivers the price security claimed. The UK holds roughly 12 days of gas storage, compared with 89 in Germany and 103 in France, and this drew no significant policy response. Meanwhile the United States now supplies 76% of UK LNG imports and takes 21.7% of UK exports, a concentration that has received almost no security scrutiny. The project concludes that security language in UK economic policy works mainly as a justification attached to decisions made on alliance, environmental or domestic political grounds. It proposes that any economic security claim be accompanied by a published assessment of the exposure it addresses.</text>
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              <text>Politics, Political Security, Trade Security, Energy Security</text>
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                <text>‘To what extent is the securitisation of national economic security in the UK driven by objective economic vulnerabilities - particularly energy security and trade dependency - versus the use of security framing as a political strategy to advance contested economic agendas while limiting normal oversight and contestation?’</text>
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                <text>Solomon David Ellwood Lever</text>
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                <text>Chris Browring (Supervisor)</text>
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                <text>Politics</text>
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          <name>Abstract</name>
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              <text>This project is an arts-based research study designed to explore the specific physical, emotional, and systemic challenges, pressures, or forms of oppression that young Black women face in society today. </text>
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              <text>Identity, women of colour, black women, creative research, participant led, photography, fashion, theatre, African and Caribbean studies </text>
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            <description>A name given to the resource</description>
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                <text>Worn stories: second skin </text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Fafa Wormenor</text>
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            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
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                <text>Thi Bogossian</text>
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            <description>The topic of the resource</description>
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                <text>Black studies</text>
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      <description>An academic paper</description>
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          <name>Abstract</name>
          <description>The abstract of the paper</description>
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              <text>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.</text>
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          <name>Meta Tags</name>
          <description>Meta tags</description>
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              <text>ReLU Neural Networks, KKT Conditions, Ridgeless Interpolation, Total Variation, Mathematical Optimisation, Minimum-Norm Interpolation</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>KKT Points and Ridgeless Interpolation in Symmetric ReLU Networks</text>
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            <description>The topic of the resource</description>
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                <text>Theoretical Machine Learning</text>
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            <name>Date</name>
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                <text>15th October 2026</text>
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            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
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                <text>Dominik Vuko</text>
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      <name>Academic Poster</name>
      <description>An academic poster</description>
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        <element elementId="53">
          <name>Abstract</name>
          <description>The abstract of the paper</description>
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            <elementText elementTextId="5546">
              <text>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 .</text>
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          <name>Meta Tags</name>
          <description>Meta tags</description>
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              <text>Physics, microfluidics, Bacillus Subtilis, experimental data, Active matter</text>
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            <description>A name given to the resource</description>
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                <text>Toward Observing Motility-Induced Phase Separation of Confined Swimming Bacteria</text>
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              <elementText elementTextId="5547">
                <text>Elisha Caguiat</text>
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                <text>Supervisor: Dr Vasily Kantsler</text>
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            <name>Subject</name>
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                <text>Physics</text>
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      <description>An academic paper</description>
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          <name>Abstract</name>
          <description>The abstract of the paper</description>
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              <text>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.</text>
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              <text>mathematical biology, stochastic modelling, gene expression, transcriptional bursting, transcription factors, Ace1p, CUP1, yeast, Gillespie algorithm, Fano factor, model reduction</text>
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                <text>Stochastic modelling of transcriptional bursting modulated by transcription-factor binding: the Ace1p–CUP1 system in yeast</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Mathematical biology: stochastic modelling of gene expression and transcriptional bursting</text>
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                <text>2026</text>
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            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
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                <text>Deven Parmar (author); Prof. Bärbel Finkenstädt (supervisor)</text>
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      <name>Academic Poster</name>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Synthesis of Cleavable Macrocycles via Photoredox Catalysis</text>
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            <name>Creator</name>
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              <elementText elementTextId="5537">
                <text>Lauren Wells</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Synthesis of Cleavable Macrocycles via Photoredox Catalysis</text>
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              <text>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.</text>
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              <text>Economics, Game Theory, Matching</text>
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                <text>One-Sided Partner Matching Under Ex-Ante Uncertainty: From Initial Beliefs to Final Proportions</text>
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                <text>Economics</text>
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                <text>2026</text>
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                <text>Becoming Bilingual: Aspirations and&#13;
Motivations to Learn English for Junior&#13;
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              <text>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.</text>
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