18 10 900 https://linen-dog.lnx.warwick.ac.uk/files/original/814f33c9073a41e23988795fe75a59ba.pdf c6d16e388eb66c6c4e24effaf987b909 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 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 Comparing Environmental Damages of Waterborne Polyurethane Gloves and Traditional Gloves: Lessons for a post-COVID World Subject The topic of the resource Economics Creator An entity primarily responsible for making the resource Yujing Zhang Date A point or period of time associated with an event in the lifecycle of the resource 2022 Air pollution Environment post-COVID waterborne polyurethane gloves https://linen-dog.lnx.warwick.ac.uk/files/original/01ec36dadcf78c1866e5326df73c16d2.ppt 863b1cecbf48628abb54e1e59061eb59 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 This research investigates and compares the predictive performance of two time-series forecasting methods—Auto-Regressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) neural network for stock price prediction. The study uses historical stock price data obtained from Yahoo Finance to evaluate each model’s ability to predict trends. The ARIMA model, implemented using the “statsmodels” library, serves as a traditional statistical benchmark for modelling autocorrelated and stationary data. In contrast, the LSTM model, developed using “TensorFlow/Keras”, represents a modern deep learning approach capable of learning long-term dependencies and complex temporal dynamics. Data were divided into training and testing sets, with the final 15% reserved for out-of-sample evaluation. Model performance was assessed using Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). Meta Tags Meta tags machine learning, ARIMA, LSTM, stock prediction 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 Ka Ngai Wong Contributor An entity responsible for making contributions to the resource Dr Salimeh Pour Mohammad Title A name given to the resource Comparison of ARIMA and LSTM model on stock price predictions Subject The topic of the resource Mathematics Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/c3547eb28335f413b3e42c9c0dc0a201.pdf 5536d0da08ecf92e2e1518b9a26b1594 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 Comparison of Photon Dose Calculation Methods in Radiotherapy Subject The topic of the resource Physics Creator An entity primarily responsible for making the resource Ethan McHugo Date A point or period of time associated with an event in the lifecycle of the resource 2022 cancer doese Monte Carlo modelling Radiotherapy treatment 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 Hyperlink A link, or reference, to another resource on the Internet. URL https://www.youtube.com/channel/UCXvU_PWWl_9elPU7-2Gj_0Q Meta Tags Meta tags School of Life Sciences, STEM, Biology, Microbiology, Molecular Biology, Evolution, Sporulation, Bacteria, Cell differentiation 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 Completely And Utterly Spore-ing Description An account of the resource Podcast created as a public engagement output for the project 'Investigating Genes Responsible For Commitment To Sporulation In A Model Organism'. Creator An entity primarily responsible for making the resource Kit Lovesy Subject The topic of the resource Life Sciences Date A point or period of time associated with an event in the lifecycle of the resource 2025 https://linen-dog.lnx.warwick.ac.uk/files/original/25f4281156066c06e48d5a7c414f3dd2.pdf 0896e00064bfb2898d6c82e5aa9720b9 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 Computational Study of the Properties of Niobium�doped Strontium Titanate Perovskites Subject The topic of the resource Physics Creator An entity primarily responsible for making the resource Mathys Potel Date A point or period of time associated with an event in the lifecycle of the resource 2023 Chemistry Coding Condensed Matter Engineering HetSys Mathys Potel Physics Warwick Centre for Predictive Modelling (WCPM) https://linen-dog.lnx.warwick.ac.uk/files/original/ff1a5d2ffccf9139575eb624f17dcbcf.pdf e375c68e8fd4a2a7480168231e620448 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 Computationally Modelling the Solar Wind and CMEs on their Journey to Earth Description An account of the resource Physics Creator An entity primarily responsible for making the resource Jack Watson Date A point or period of time associated with an event in the lifecycle of the resource 2022 coronal mass injections Satellites Solar Space 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 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 Rachel Haddad Title A name given to the resource Connections, Curvature, and Symmetry Subject The topic of the resource Mathematics Date A point or period of time associated with an event in the lifecycle of the resource 2025 Description An account of the resource A Study of G-Invariant Connection and Curvature Geometry on a Frame Bundle over a Symmetric Base Manifold Contributor An entity responsible for making contributions to the resource Max Stolarski 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 Hyperlink A link, or reference, to another resource on the Internet. URL https://jackbutler385.wixsite.com/my-site 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 Connexin 32 and CMTX Subject The topic of the resource Biology Description An account of the resource <a href="https://jackbutler385.wixsite.com/my-site">Connexin 32 and CMTX</a><br /><br /><span>My Current research is aimed at answering the fundamental questions surrounding Connexin 32 that remain to be solved. Specifically, I am researching the gating of Connexin 32 and how this may become faulty by advent of mutation, and how this may lead to pathology in CMTX. Currently I am </span><span>utilizing</span><span> <br />mutagenesis to assess how the gating of Connexin 32 is altered when comparing the Wild-type and mutants (used to mimic CMTX). I feel as if this research is essential as leaning more about Connexin 32, results in learning more about CMTX. CMTX is an X-linked muscular dystrophy resulting form mutation in the GJB1 gene, encoding Connexin 32. </span> Creator An entity primarily responsible for making the resource Jack Butler Date A point or period of time associated with an event in the lifecycle of the resource 2021 Biology C02 Carbon Dioxide https://linen-dog.lnx.warwick.ac.uk/files/original/b15f8038a7ed4527c2ccadc07daa85aa.pdf 33dd05fb270750b8c203fdbfe914284d 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 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 Consumers’ WTP to Avoid Unwanted Auto-renewal Contracts Subject The topic of the resource Economics Creator An entity primarily responsible for making the resource Frisk Zhang Date A point or period of time associated with an event in the lifecycle of the resource 2022 auto-renewal consumers contingent valuation contracts subscriptions discrete choice experiment WTP https://linen-dog.lnx.warwick.ac.uk/files/original/7bdac56f4d35921485a65493a6ae8e88.pdf 5e324ee7aaae20eedc1743dd6f55867d 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 Neutral objectives such as Drakes are pivotal in League of Legends. This paper asks whether teams fight more because payoffs are higher when ahead, or because they select into fights conditional on state. I analyze 200 high-rank EUW matches (balanced win/loss; ≥20 min). Contesting is modeled with logit and probit specifications, interacting contest with (i) turret difference (TD), visible to players, and (ii) a composite state index. Effects are interpreted on the probability scale via margins, and identification is probed with an instrumental-variables strategy using the Demolish rune. To connect econometric effects to choices, a 2×2 payoff matrix with a TD-specific behavioural term is calibrated. Results show contesting is positively associated with winning on average. The contest × TD interaction is significant, whereas the contest × state is not; yet pairwise contrasts of marginal effects across TD strata are statistically indistinguishable. IV results are consistent. The calibrated game implies higher-TD teams under-contest relative to payoff-maximising benchmarks, consistent with behavioural burdens when ahead. Overall, selection of when to enter appears more consequential than heterogeneous conditional payoffs Meta Tags Meta tags League of Legends Loss aversion Nash equilibrium 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 Economics Title A name given to the resource Contest or Cede? State-Dependent Payoffs, Selection, and Behaviour in High-Rank League of Legends Creator An entity primarily responsible for making the resource Jack Fan Date A point or period of time associated with an event in the lifecycle of the resource 2025