39 10 849 https://urss.warwick.ac.uk/files/original/badcb5647b29819bfe05c32cc6608dd4.pdf 5cfae860f1f0aa1ac200bede613677fc 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 Investigating CifA and CifB genes and prophage regions found in Wolbachia wAnD and wAnM strains. Meta Tags Meta tags Malaria, Mosquitos, Wolbachia, Bacteria, Vector, Cytoplasmic incompatibility 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 Jenny Redman Contributor An entity responsible for making contributions to the resource Tom Walker, Laura Chatterley, Seynabou Sougoufara, Eva Heinz Subject The topic of the resource Biological Research Title A name given to the resource Investigating CifA and CifB genes and prophage regions found in Wolbachia wAnD and wAnM strains https://urss.warwick.ac.uk/files/original/99a931fa879e82e4a5224d03a4fea874.pdf 2450e23bbb10bb2f0f15ebcbbb6d7cec 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 An analysis of six of the primary parameters governing Universal characteristics and their bounds derived through Bayesian inference Meta Tags Meta tags Cosmology, Astrophysics, Bayesian inference, Statistics, Mathematics, CMB, Cosmological Parameters, Power spectrum, Markov Chain Monte Carlo 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 Logan Aitchison Contributor An entity responsible for making contributions to the resource Dr. Siri Chongchitnan Subject The topic of the resource Physics Description An account of the resource Cosmology / Astrophysics Date A point or period of time associated with an event in the lifecycle of the resource 2024 Title A name given to the resource Investigating Constraints On Cosmological Parameters Using Bayesian Inference https://urss.warwick.ac.uk/files/original/77e10c31eafe4d925d9d742fc0fb3a92.pdf 51a89dbf260e6c67c9cc1d8d3b13d021 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 Investigating Genes Responsible For Commitment To Sporulation In A Model Organism. Meta Tags Meta tags School of Life Sciences, STEM, Biology, Microbiology, Molecular Biology, Evolution, Gene Regulation, Cell Differentiation, Sporulation, Bacteria. 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 Kit Lovesy Contributor An entity responsible for making contributions to the resource Betty Fekade, Christopher Rodrigues Subject The topic of the resource Sporulation Title A name given to the resource Investigating Genes Responsible For Commitment To Sporulation In A Model Organism https://urss.warwick.ac.uk/files/original/83f072491d0b355739eab54a458928d1.pdf b5f51ded3843906f00bbe5308b9c630e 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 Low Earth Orbit (LEO) extends up to 2000km above the Earth’s surface and is under threat of overcrowding from satellite megaconstellation projects, such as Starlink. This study investigates different methods for monitoring Starlink satellites by comparing the performance of telescope array case studies to the all-sky array, which uses thousands of telescopes to monitor the entire sky from a single site. By analysing key metrics, I demonstrate significant benefits for using a global network of telescope arrays over the all-sky array, particularly in terms of cost-effectiveness. Meta Tags Meta tags Physics, Astrophysics, Sustainability, Space Situational Awareness, Starlink, Python, Simulation 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 Vallow Contributor An entity responsible for making contributions to the resource Dr James A Blake Subject The topic of the resource Physics Title A name given to the resource Investigating global sensor architectures to survey Starlink satellites in the LEO region Date A point or period of time associated with an event in the lifecycle of the resource 2024 https://urss.warwick.ac.uk/files/original/8fc2754163c0e086d7050b0d1bb842f5.pdf 952ec5d66fdc4bf6febc6b24ad8bc9d7 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 Abstract The abstract of the paper As the adoption of Large Language Models (LLMs) is becoming ubiquitous, understanding their pitfalls is becoming increasingly urgent. LLMs are known to hallucinate and may be subject to cascading hallucinatory generations due to their autoregressive structure and exposure bias. This paper first introduces the topic of hallucination cascade, covering relevant literature. Then an experiment is presented on the propagation of hallucination through long answer text generation, for all combinations of five LLMs - Qwen2 (0.5B), Qwen2 (7B), Llama3.1 (8B), Gemma2 (9B) and Mistral-NeMo (12B) - at five levels of temperature: 0, 0.75, 1, 1.25, 2. In a novel methodology, responses are generated by the five LLMs, then labelled by two more LLMs as hallucinatory or not on both a token and sentence level. The labelling is done with clear instructions and additional context to ensure its quality. Correlational evidence was found on both granularity levels that hallucinatory tokens are positively autocorrelated at lag 1, and that autocorrelation monotonically decreases as lag increases (token level only), supporting the cascading hallucination hypothesis. Finally, some hallucination mitigating techniques are presented, with both research and application in mind. All the code used for the empirical part of this paper (Section 3) can be found at https://github.com/LucMekouar/URSS_2024. Meta Tags Meta tags Large Language Model, LLM, Machine Learning, Natural Language Processing, Hallucination 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/. Subject The topic of the resource Computer Science Date A point or period of time associated with an event in the lifecycle of the resource 2024 Contributor An entity responsible for making contributions to the resource Prof Bo Chen Title A name given to the resource Investigating Hallucination Cascades in Autoregressive Large Language Models Creator An entity primarily responsible for making the resource Luc Mekouar Hallucination Large Language Model LLM Machine learning Natural Language Processing https://urss.warwick.ac.uk/files/original/f8cf4d5d05c24c225cf6a87fb829efa6.pdf c19bba4192d452b738b56d43c2994214 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 Investigating How Clinically Relevant Tau Proteins Alter Neuronal Function Using Confocal Microscopy and Whole-Cell Patch Clamp Recording Subject The topic of the resource Life Sciences Creator An entity primarily responsible for making the resource Buse Kockiri Date A point or period of time associated with an event in the lifecycle of the resource 2023 Buse Kockiri cells Confocal Microscopy Disease Life Sciences neuronal function Tau Proteins https://urss.warwick.ac.uk/files/original/d92af6b45e37375a964c7aea64e57a30.pdf d143ccd793ae88ba4242675f113d9aed 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 Investigating Human Papillomavirus Type 16 (HPV-16) DNA in Cervical Cancer Samples using PCR and Gel Electrophoresis Techniques Subject The topic of the resource Life Sciences Creator An entity primarily responsible for making the resource Maryam Adam cervical cancer DNA HPV-16 Human Papillomavirus Life Sciences Maryam Adam PCR https://urss.warwick.ac.uk/files/original/6d4e4fc38dee35ea688e7f8a9b945130.pdf 86ddbb627a0621ec28eee9a0575b8bec 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 Investigating Machine Learning Methods to Improve Sepsis Prediction Timeframes in ICU Meta Tags Meta tags healthcare, machine learning, xgboost, biomedical data science, biomedical engineering data, time series data, predictive modelling 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 Shubhdeep Khasriya Subject The topic of the resource Mathematics Title A name given to the resource Investigating Machine Learning Methods to Improve Sepsis Prediction Timeframes in ICU Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://urss.warwick.ac.uk/files/original/46b39484363c3b03606f76b1d8c6060b.pot c4f8372719915900de7faf1ec5ac1260 Academic Paper An academic paper Abstract The abstract of the paper The membranes of the mammalian cell are host to many membrane-bound transcription regulators which need to be collocated to the nucleus to act on both inter and extracellular processes ​(1)​ . For our project we chose to focus on the membrane of the endoplasmic reticulum, which research has shown to be a region where proteins (or peptide fragments) are able to cycle between the ER and the nucleus in order to influence gene transcription.​(2)​ The pseudoproteases iRhom (of the rhomboid super family) ​(3)​ have been identified as such proteins with a distinct function related to their cleavage from the ER and subsequent nuclear transport. This cleavage is conducted via the Signal Peptidase Complex (SPC) which cleaves either side of the first transmembrane domain, resulting in an N terminal fragment. This fragment is then transported to the nucleus where it can affect gene expression. This process has been shown to be elevated in pathologies such as psoriasis and oesophageal cancer. ​(4)​ Our goal was to investigate if other proteins (TMEM214, TRPV4, TOR4A) with regions similar to iRhom cleavage sites undergo the same SPC cleavage mechanism. Evidence of cleavage would suggest the proteins could possess a similar transcription regulation function, potentially linking to other pathologies. 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 Membrane-Bound transcription Regulators Subject The topic of the resource Cells & Development, Microbiology & Infectious Disease Contributor An entity responsible for making contributions to the resource Bethan Martin, Bronte West, Freija Guntripp, Iqbal Dulloo https://urss.warwick.ac.uk/files/original/4b740b671e707a44d03125100c1738f7.pdf 3d4683471f080306d032e6f8c2184c45 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 Social Sciences Subject The topic of the resource Social Sciences Academic Paper An academic paper Abstract The abstract of the paper A paper investigating the determinants of Olympics success (and lack of), we use a mixed-methods approach, combining qualitative and quantitative analysis to examine the determining factors of sporting success. Using Reiche’s WISE framework, our research extends the analysis of sports performance into the spectre of institutionalist political economy with sports performance as a path-dependent outcome of formal and informal institutions, ideology, early learning, and gender dynamics. Analysing medal outcomes from 1996 to 2016 Olympic Summer Games, alongside building up on new and contemporary research from the wider sports policy subdiscipline, we identify key overperformers such as Australia, China, Cuba, and Jamaica, and underperformers such as India, Nigeria, and Iran. We determine that sporting success is deeply connected to factors that precede and transcend economics and material wealth. The sporting success of countries is deeply connected to the historical process of institutionalisation, colonial legacies, and ideology. Our findings contribute to a growing body of institution-facing research on the Olympic Games and the wider Sports Policy body of research. 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 over and under performance in Olympic games beyond economic factors: an institutional study of sports outcomes Subject The topic of the resource Politics and International Studies Creator An entity primarily responsible for making the resource Nurmukhamed Tokmukhamedov, Andrew El, Arshia S. Tabatabaee, Antons Pimonovs and Yusuf Amin History Institutionalism Olympic Games political economy Sport Sports Achievement