85 10 851 https://urss.warwick.ac.uk/files/original/b651fa6ec6403e40dcad79fdda3c0ed5.pdf e555842bb8743ca4a132e5f938b70ed6 Academic Paper An academic paper Abstract The abstract of the paper Between 2020 and 2025, Peru’s government and Congress enacted eight measures that let people withdraw money from their compulsory private pension accounts. In 2024, Congress passed a reform banning further withdrawals. The ban began to apply on 6 September 2025. Fourteen days later, Congress published a law that allowed another withdrawal and removed the restrictions the reform had introduced. This paper asks why Congress reversed a restriction it had itself approved. It proposes a working hypothesis: once withdrawals became politically normal, voting against was costlier than voting for. A legislator’s earlier stance should then predict little about their later vote. The paper tests this on a panel of 130 legislators over five plenary votes cast by the Congress elected in 2021. It uses four votes from an earlier, separate Congress only for context. The evidence is descriptive, not causal. Support never fell below 90 per cent of votes cast in the Congress elected in 2021 and reached 95.7 per cent in September 2025. Twenty-three legislators voted for a withdrawal in April 2024, for the reform in June 2024 and for the reversal in September 2025. Of the legislators who backed the reform, 33 of 38 voted for the reversal. Of those who opposed it, 9 of 10 did. Emergency relief alone is hard to reconcile with the later withdrawals. Party coordination is consistent with part of the record, not all of it. Public demand cannot be ruled out. Electoral incentives and ideology are not tested. Meta Tags Meta tags Peru, pension withdrawals, private pension system, political economy, congressional voting, pension reform, public policy, legislative behaviour, Peru Congress, social security 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 The Withdrawal Ratchet: Why Did Peru’s Congress Reverse Its Own Pension Restrictions? Subject The topic of the resource Economics Date A point or period of time associated with an event in the lifecycle of the resource 4th October 2026 Contributor An entity responsible for making contributions to the resource Salvador Quesada Boza https://urss.warwick.ac.uk/files/original/d8ddda5dbc5f5684f7d5df7305ee54ae.docx 516fb283d648c2e577dad36e7f2714f8 Academic Paper An academic paper Abstract The abstract of the paper Histories of the British Army in Northern Ireland have tended to focus on officers, strategy and tactics, leaving the experience of the enlisted men who made up most of the force largely unheard. This project begins with one of those men, my grandfather, a Royal Green Jackets warrant officer whose 1972 MBE for operational service in Northern Ireland has never been explained, and asks what oral history can recover where the institutional record is silent. Drawing on five oral history interviews with veterans of the Royal Green Jackets and the Royal Regiment of Fusiliers, whose service ranged from 1969 to the mid-2000s, the project takes a social history approach to their lives before deployment, their conditions of service, their relationships with the communities they policed, and their reflections decades later. It argues that many enlisted men shared more materially with those communities than with the officers who commanded them; that Irish heritage pulled soldiers in very different directions; that community attitudes towards the Army shifted sharply across the conflict; and that much of the practical knowledge shaping soldiers’ conduct was passed on informally and never recorded. The project complicates the image of the Army as a single institution, and shows how oral history can recover what the archive leaves out. Keywords: oral history; British Army; Northern Ireland; Operation Banner; the Troubles; social history Meta Tags Meta tags oral history, British Army, Northern Ireland, the Troubles, Operation Banner, social history, enlisted soldiers, Royal Green Jackets, veterans, class, Irish identity, memory, counter-insurgency, military history, URSS 2026 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 Between Community and Command: British Enlisted Soldiers in Northern Ireland during the Troubles Subject The topic of the resource The lived experience of British Army enlisted soldiers, especially the Royal Green Jackets, during Operation Banner in Northern Ireland (1969-2007), recovered through oral history interviews with veterans. Date A point or period of time associated with an event in the lifecycle of the resource 2026-10-08 Contributor An entity responsible for making contributions to the resource Dr Elizabeth Egan (project supervisor), Department of History, University of Warwick https://urss.warwick.ac.uk/files/original/a6536e9e7952e0d08d395931304f2a6c.pdf 101e9f405e1fcbd2a074e7d3c02a1cfd Academic Paper An academic paper Abstract The abstract of the paper This paper examines whether labour market conditions are associated with university degree outcomes in UK higher education. Using Higher Education Statistics Agency (HESA) data on undergraduate, first degree classifications from 2006/07 to 2024/25, we analyse the relationship between graduating cohorts’ unemployment conditions during penultimate and final years of study, and the percentage of first degree qualifications awarded first class honours. We find a consistently negative relationship between unemployment and first-class attainment, with limited statistical significance nationally. The resulting association we estimate is stronger and statistically significant in subject-level analysis. Meta Tags Meta tags Economics, Higher Education, Unemployment, UK Labour Market, Academic Outcomes 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 Labour Market Uncertainty and University Student Outcomes: Evidence from HESA Graduating Cohorts Subject The topic of the resource Economics Date A point or period of time associated with an event in the lifecycle of the resource October 2026 Contributor An entity responsible for making contributions to the resource Marta Radian https://urss.warwick.ac.uk/files/original/5fb5354b83399b4959a2ed0eba4db34b.pdf 24ae52d58103742b6be3f7e935c870b0 Academic Paper An academic paper Abstract The abstract of the paper Financial socialisation within families contributes to the development of financial values, attitudes and behaviours. While existing research has established the importance of parental influence, less attention has been given to how parents’ own financial experiences shape the values they subsequently seek to communicate to their children. This study explores how parents interpret their financial experiences, negotiate financial values inherited from their families, and draw on these values in purposive financial socialisation. A qualitative research design was adopted, using semi-structured interviews with three parents from relatively economically advantaged households in the UK. Thematic analysis examined participants’ accounts of financial experiences, value formation and parental financial socialisation. Findings suggest that financial experiences influenced parental values through participants’ interpretations of the consequences associated with financial decisions and circumstances. Both direct experiences and observations of others contributed to the development and refinement of financial values. Financial socialisation was also adaptive and bidirectional, with children’s behaviours and responses influencing parental approaches. The findings suggest that financial values are not simply transmitted across generations but continually reconstructed through experience, interpretation and family interaction. These findings have implications for understanding variation in parental financial socialisation and suggest that financial education should consider the diverse experiences and contexts through which financial values develop. 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 A Qualitative Study Of The Nuances Of Financial Socialisation Within High-Income Families. Subject The topic of the resource Familial financial socialisation Date A point or period of time associated with an event in the lifecycle of the resource 12 October Contributor An entity responsible for making contributions to the resource Wen Chi Low 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/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/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 https://urss.warwick.ac.uk/files/original/cc981cbd0f8c0cf7b773a11d67758fa9.pdf 7c3754d0553a49c91a1f977813a3f69f Academic Paper An academic paper Abstract The abstract of the paper 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. Meta Tags Meta tags Entrepreneurship, Teaching, Knowledge Exchange, Universities 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 The Impact of Teaching on Graduate Entrepreneurship in the UK: Evidence from England and Scotland, 2008/09–2014/15 Subject The topic of the resource Investigating whether increased HEI teaching focus causes an improvement in graduate start-up outcomes. Date A point or period of time associated with an event in the lifecycle of the resource October 2026 Contributor An entity responsible for making contributions to the resource Argyris Demetriou https://urss.warwick.ac.uk/files/original/c1401a9f1922907aec19e1f462c993ac.pdf a2216442c98bbfe7a8708fc42b6dc8ad Academic Paper An academic paper Abstract The abstract of the paper A k-page book consists of a straight line, called the spine, and k half-planes, called pages, sharing the spine as their boundary. A k-page book drawing of a graph G places the vertices on the spine and draws each edge on a single page. The k-page crossing number is the minimum number of edge crossings over all possible k-page drawings. Finding a crossing-free book drawing with minimum number of pages(Book Thickness) and minimizing crossings for a fixed k (Book Drawing With Crossing Minimization) are both NP-hard. Recent works established fixed-parameter algorithms for Book Thickness parameterized by the vertex cover number and the vertex integrity, respectively [1, 2]. In this paper, we present the main ideas of these works and derive separate fixed-parameter algorithms for Book Drawing with Crossing Minimization w.r.t. the vertex cover number and the vertex integrity number. Meta Tags Meta tags Mathematics, Computer Science, Combinatorics, Embedding, Parameterised Algorithms, Book Thickness, Crossing, Minimization, Vertex Cover, Vertex Integrity 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 Parameterised Algorithms for Book Drawings with Crossing Minimization Subject The topic of the resource Mathematics Date A point or period of time associated with an event in the lifecycle of the resource October 2026 Contributor An entity responsible for making contributions to the resource Vladimir Brankovic https://urss.warwick.ac.uk/files/original/c2d90a6aa9333842d88199a4a0a69ffb.pdf d936c233ab10deb610849f1a292b8d15 Academic Paper An academic paper Abstract The abstract of the paper The TESS mission has discovered many long-period exoplanets which transit only once. These planets represent an understudied population of temperate planets and recovering their orbital periods would provide insightful tests for models of planet formation and migration. With significant follow-up of such planets from both space- and ground-based observatories, there is a need to efficiently detect epochs which are well matched to known transit shapes in photometric datasets. This report describes the calibration of the template-matching search adopted in the BRUCE package, a Python library for modelling and fitting transiting planets and eclipsing binaries. The likelihood-ratio statistic returned by the scan is standardised into a matched-filter signal-to-noise ratio (S/N), z, which is exactly Gaussian under white noise, before being whitened by its own median absolute deviation over each scan. Six noise conditions, each with 2,500 realisations, were used to measure the false-alarm rate at local probabilities of 10^(-3) and 10^(-4). Under quasi-periodic spot modulation and granulation, the raw statistic produced false alarms at 230 and 103 times the nominal rate at 10^(-3) and up to 1,900 times at 10^(-4). The whitened statistic held every condition to within factors of 1.3 and 1.9, respectively. To test the sensitivity of the search, we performed an injection-recovery test on a grid of 51,200 synthetic TESS light curves: recovery was found to follow lines of constant single-transit S/N and the false-peak rate to scale inversely with template width. We conclude that this whitened matched-filter S/N statistic is the correct choice for the pipeline, as a single threshold is valid under both white and correlated noise, allowing further TESS single-transit candidates to be detected with a known false-alarm probability. Meta Tags Meta tags Exoplanet, TESS, NGTS 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 A whitened matched-filter statistic for detecting single exoplanet transits in survey photometry Subject The topic of the resource Exoplanet detection