5 10 853 https://urss.warwick.ac.uk/files/original/9921dc20e0fae03b77eb3801c7683028.pdf edfe268bcf6365e5111ca61098fd8655 Academic Paper An academic paper Abstract The abstract of the paper On 1 July 2025 Vietnam abolished the district tier of its local government, merged its 63 provinces into 34 and its 10,035 communes into 3,321, and replaced 63 provincial e-service portals with a single national portal. This paper asks how citizens' experience of dealing with local government changed in the first months after the reform, and who bore the cost of the transition. Because the reform applied everywhere and the 2025 round of PAPI is not yet available, the paper compares PAPI 2024 with a 2026 telephone survey drawn from PAPI's own respondent lists, under eight explicit comparison rules, and draws on a 2025 review of the e-service portals and the government's SIPAS 2025 survey. Use of the national portal rose from 13.8% to 21.8% of respondents, although part of the rise may be former users of the closed provincial portals moving across. Satisfaction with administrative procedures fell, most of all for land-use certificates, which moved from the districts to the communes, and the share of applicants who had to visit several offices roughly tripled for ordinary commune procedures. Older, poorer and rural citizens are far less likely to use the portal, and so depend most on an in-person route that became more fragmented after the reform. Official counts of online applications can overstate citizens' own use, because in some places officials have been applying and paying on citizens' behalf. Meta Tags Meta tags Economics, Public 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 Fewer offices, one portal: citizens' experience of Vietnam's 2025 local government reform in its first months Subject The topic of the resource Public policy and government reform Date A point or period of time associated with an event in the lifecycle of the resource August to October 2026 Contributor An entity responsible for making contributions to the resource Sebastian Smith https://urss.warwick.ac.uk/files/original/5759724bc13fd2243a1344bc7b5b10bd.pdf d266ea0786dff46daf94cbef9972c1dc Presentation Meta Tags Meta tags Artificial intelligence, AI, Machine learning, Deep Learning, reinforcement learning, Computer Science, simulation, Modelling, Optimization, Optimal Control, Operational Research, Decision-making, congestion, neural networks, Python, Evacuation, Emergency Evacuation, Adaptive Evacuation Guidance, Pedestrian Simulation, Crowd Simulation, Crowd Dynamics, Crowd Management, Dynamic Routing, Evacuation Routing, Route Blockages, Dynamic Congestion, Proximal Policy Optimisation, PPO, JuPedSim, Gymnasium, Multi-Agent Simulation, Public Safety 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 Adaptive Evacuation Guidance with Reinforcement Learning Description An account of the resource This research investigates the use of reinforcement learning to provide adaptive indoor evacuation guidance under dynamic congestion and unexpected route disruptions. A pedestrian simulation environment was developed with a Proximal Policy Optimisation (PPO) agent trained to dynamically adjust evacuation routes in response to changing conditions. Experimental results demonstrate a 17.3% reduction in average evacuation time compared with the best fixed-routing baseline, highlighting the potential of reinforcement learning for more responsive and efficient evacuation management. Creator An entity primarily responsible for making the resource Duc Tran https://urss.warwick.ac.uk/files/original/64b8b3259d5dbc6cdc5166488e20196b.png 767b2071ec07a9713daf8e26a82f11ad 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 Understanding the Role of Culture in Sustainable Eating Creator An entity primarily responsible for making the resource Ushika Gopaul Contributor An entity responsible for making contributions to the resource Dr Alice Coffey (Supervisor) Subject The topic of the resource Culture and Sustainable Eating https://urss.warwick.ac.uk/files/original/f82a6810504b9c758863f359cd00134b.pdf 7b1f2127227a57c4d2bd39468bd9c1de Academic Poster An academic poster Abstract The abstract of the paper Straining a metal’s crystal lattice is expected to change how well it catalyses reactions such as oxygen evolution, the slow step in making green hydrogen. To test this on real nickel, we pressed a microscopic pyramid into the surface and mapped the electrochemical response around the dent with scanning electrochemical cell microscopy (SECCM), a droplet probe that records a voltammogram at each of 1,640 points. The dent appeared 3–15 times more active than flat nickel. However, the charging current showed that the droplet wetted 6–11 times more surface there, and per unit of wetted area the dent was not measurably more active. The method works in alkaline electrolyte, but wetting must be controlled first. Meta Tags Meta tags SECCM, nickel, electrocatalysis 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 Nanoscale mapping of strained catalysts Creator An entity primarily responsible for making the resource Nurkhan Nurapin Contributor An entity responsible for making contributions to the resource Prof Patrick R. Unwin Subject The topic of the resource Electrochemistry https://urss.warwick.ac.uk/files/original/9b0e871f81a6a421ef4bd1b846909f6b.pdf 33eaa88a141ecb4976270301751ac570 Academic Paper An academic paper Abstract The abstract of the paper Racial and ethnic disparities across the diagnostic pathway for individuals with suspected or confirmed endometriosis: A scoping review Abstract Background: Endometriosis is associated with substantial diagnostic delay, and emerging evidence suggests that racial and ethnic disparities may influence progression through the diagnostic pathway. However, the extent and distribution of these disparities remain unclear. Objective: To chart the current evidence on racial and ethnic disparities across the diagnostic pathway for individuals with endometriosis and ascertain gaps in the current literature. Methods: A scoping review was conducted under the influence of the Joanna Briggs Institute methodological guidance. The Population, Concept and Context framework was used to develop the eligibility criteria. Studies examining racial or ethnic differences in endometriosis diagnosis, specialist referral or diagnostic investigation were included. Data were obtained on study characteristics, populations, racial and ethnic groups, healthcare settings and stages of the diagnostic pathway. Results: Three studies met the inclusion criteria, comprising one systematic review and meta-analysis and two retrospective cohort studies. All studies were conducted in the United States. Racial and ethnic differences were identified at multiple stages of the diagnostic pathway. Black women had lower odds of receiving a self-reported or surgically confirmed diagnosis compared with White women, while Black and Asian adolescents were less likely to undergo diagnostic laparoscopy. White women also had higher referral rates to pelvic pain specialists than Black, Asian and Hispanic women. However, substantial variation existed between studies in population characteristics, definitions of race and ethnicity, and stages of the diagnostic pathway examined. Conclusion: The existing evidence suggests that racial and ethnic disparities could occur at multiple stages of the endometriosis diagnostic pathway. Yet, the limited number of studies and their focus on US healthcare settings restrict the generalisability of these findings. Further research is needed, particularly within the UK and internationally, to determine whether similar disparities exist and to investigate the factors underlying these differences. Meta Tags Meta tags Endometriosis, Gynaecology, Pelvic pain. 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 Racial and ethnic disparities across the diagnostic pathway for individuals with suspected or confirmed endometriosis: A scoping review. Subject The topic of the resource Endometriosis Date A point or period of time associated with an event in the lifecycle of the resource 09/10 Contributor An entity responsible for making contributions to the resource Reema Ali and Rania Abdel Rahman https://urss.warwick.ac.uk/files/original/9b9f09be1b9155cfca1ec62659fc0a67.pdf b0f16292a1f1125e8ee7f730af62f9a3 Academic Paper An academic paper Abstract The abstract of the paper Abstract The abstract of the paper Meta Tags Meta tags Endometriosis 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 Racial and ethnic disparities across the diagnostic pathway for individuals with suspected or confirmed endometriosis: A scoping review Subject The topic of the resource Endometriosis Date A point or period of time associated with an event in the lifecycle of the resource 09/10/2026 Contributor An entity responsible for making contributions to the resource Reema Ali and Rania Abdel Rahman https://urss.warwick.ac.uk/files/original/c97c9281f72250e23d733adb781c5c89.pdf 585217a82e0d04ba7122dc152a658844 Academic Paper An academic paper Abstract The abstract of the paper Thirty-five years after German reunification, the five eastern Länder voted in a manner unmatched by any western state. This dissertation argues that two causes operate in sequence rather than in competition. The transformation of the 1990s left a region that converged on western income levels until roughly 2019, then stopped, and that remains owned, headquartered, and administered from elsewhere. Forty-five years of separation determined the political form of grievance, producing a population that’s far more secular, ethnically homogeneous, and less attached to the churches, unions, and organizations that absorb similar grievances in the West. Using state-level and constituency-level data from the 2025 Bundestagswahl alongside aggregate series from 1980, the dissertation shows that district income strongly predicts AfD support in the east (r = −0.80, R2 = 0.64, n = 60) and only weakly in the west, while it barely predicts the combined Die Linke and BSW vote anywhere (r = −0.28 at state level). Two cultural correlations that appear to support a simple cultural thesis are shown to be more complex: irreligion reverses sign between subsamples, and migrant share cannot be cleanly separated from income. The conclusion is that authoritarian-leaning parties aren’t a single phenomenon, and that the AfD vote, in particular, tracks the accumulated economic position of a place rather than its current labour market. Meta Tags Meta tags German Politics 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 Revolution im Osten? The Political Economy of AfD Support in East Germany Subject The topic of the resource German Politics Date A point or period of time associated with an event in the lifecycle of the resource 1990-2026 Contributor An entity responsible for making contributions to the resource Keiran Roberts https://urss.warwick.ac.uk/files/original/70adb2a8120fda6873bc06f574be11de.pdf ae95c79c120e536fa976d3f46e488897 Academic Paper An academic paper Abstract The abstract of the paper This research project explores a clinical trial assessing the safety and efficacy of a hybrid closed-loop insulin delivery system in children aged 2 to 6 years with type 1 diabetes (Wadwa et al., 2023). The primary aim was to estimate the effect of closed-loop control on 13-week HbA1c and investigate the robustness of this estimate to covariate adjustment, missing-data handling and Bayesian modelling. The analysis began with a complete-case comparison, followed by adjusted regression models, different frequentist methods of imputation and Bayesian approaches. The results consistently favoured closed-loop control over standard care, with adjusted treatment-effect estimates ranging from approximately 0.36 to 0.44 percentage points across the frequentist analyses. The Bayesian results were broadly consistent with these findings. A further exploratory aim was to model 26-week HbA1c outcomes during the trial's extension period using Bayesian longitudinal models. However, these results were associated with greater uncertainty, particularly because participants originally assigned to standard care switched to closed-loop treatment after 13 weeks. Overall, the findings provide reasonably consistent evidence that closed-loop control reduced 13-week HbA1c compared with standard care, while conclusions about the 26-week treatment effect remain more uncertain. Meta Tags Meta tags Artificial Pancreas, Type 1 Diabetes, Paediatrics, Clinical Trial, Clinical Trial Data, Biostatistics, Clinical Trial Analysis, Longitudinal Data Analysis, Statistical Modelling, Data Analysis, Digital Health, R Project, R Programming, RStudio, Bayesian Statistics, Frequentist Statistics, Mixed-Effects Models, Markov Chain Monte Carlo (MCMC) 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 Assessing Treatment Efficacy in Diabetes Clinical Trials Subject The topic of the resource A Paediatric Diabetes Clinical Trial Date A point or period of time associated with an event in the lifecycle of the resource 04/10/2026 Contributor An entity responsible for making contributions to the resource Lily Antell https://urss.warwick.ac.uk/files/original/855ef2e352066f0aa95f09d21bb64446.pdf e1bffac7d47d78605a3a040aaad5302b Academic Poster An academic poster Abstract The abstract of the paper Satellites are an incredible invention; a large but easily overlooked part of modern life. Unfortunately, they can cause disruption to astronomical images. This project’s aim was to learn about the satellites, discover the extent of this disruption and attempt to mitigate against the impact of satellites in Warwick’s GOTO astronomical images. Meta Tags Meta tags Astronomy, Space Domain Awareness, Satellites, Satlet, Warwick, GOTO, Astronomical Images 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 Tracking and identifying satellites in astronomical images Creator An entity primarily responsible for making the resource Harry Minchin Contributor An entity responsible for making contributions to the resource Harry Minchin Subject The topic of the resource Satellites https://urss.warwick.ac.uk/files/original/acfbfb30df2e05deeb3d24055c40868b.pdf a8ff62ed5fc99ee9b14fca0d4bbecc2d Academic Poster An academic poster Abstract The abstract of the paper Boron nanoclusters can form planar, cage-like, open and compact structures because electron-deficient multicentre bonding produces many low-energy arrangements. Identifying stable structures means the use of a large number of geometry optimisations, making direct screening with density functional theory computationally expensive. In this project, 125 AIRSS-generated candidates for each cluster size from B₁ to B₂₀₀ were independently optimised using the 7NET, MACE and PET-MAD machine-learning interatomic potentials, giving 75,000 optimisation attempts. The lowest-energy converged structure from each model and cluster size was selected, producing 600 structures for analysis. PET-MAD achieved the highest overall convergence at 99.83%, followed by 7NET at 99.44% and MACE at 96.92%. 7NET generally produced the most compact, highly coordinated structures, while PET-MAD gave the closest qualitative comparison with an independent VASP-DFT B₅₃ reference. These results show that MLIPs can efficiently screen boron nanoclusters, although their predictions remain model-dependent and require matched DFT calculations for rigorous validation. Meta Tags Meta tags Chemistry, Computational, Boron 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 Machine Learning Compared with DFT: Streamlining Boron-Cluster Simulations Creator An entity primarily responsible for making the resource Mr. Daniel Lowe Contributor An entity responsible for making contributions to the resource Dr. Bora Karasulu Subject The topic of the resource Boron Nanoclusters