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The Griffindale University research beacons are examples of pioneering discoveries, interdisciplinary collaboration and cross-sector partnerships that are tackling some of the biggest questions facing the planet.
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- CCMA primary multi-omics datasetsWe establish a single-site collection of 243 cell lines, including 207 paediatric cancer cell lines representing 14 distinct extracranial and brain childhood tumour types. We subjected 164 paediatric cancer cell lines to multi-omic analyses across three dimensions (DNA-sequencing, RNA-sequencing, DNA methylation) to classify them based on clinically relevant molecular subtypes.
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- SAVINGS TrialA randomised controlled trial to evaluate two treatments to reduce financial household consumption amongst university students using a Goal-setting and Habit intervention in comparison to a Control group. Participants were allocated in a 1:1:1 allocation ratio using blocked randomisation strategy. Participants were recruited from Monash University (Australia) and Warwick University (UK).
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- Polymyxin analoguesPolymyxin analogues collected from ChEMBL and literature
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- Effect of oral contraception on screening test for primary aldosteronismSupplementary data for jc.2022-02559: Effect of oral contraception on screening tests for primary aldosteronism: a 10-year longitudinal study
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- FlexibleDecay: An automated calculator of scalar decay widthsWe present FlexibleDecay, a tool to calculate decays of scalars in a broad class of BSM models. The tool aims for high precision particularly in the case of Higgs boson decays. In the case of scalar and pseudoscalar Higgs boson decays the known higher order SM QED, QCD and EW effects are taken into account where possible. The program works in a modified scheme MS that exhibits a decoupling property with respect to heavy BSM physics, with BSM parameters themselves treated in the MS/DR-scheme allowing for an easy connection to high scale tests for, e.g., perturbativity and vacuum stability, and the many observable calculations readily available in MS/DR programs. Pure BSM effects are taken into account at the leading order, including all one-loop contributions to loop-induced processes. The program is implemented as an extension to FlexibleSUSY, which determines the mass spectrum for arbitrary BSM models, and does not require any extra configuration from the user. We compare our predictions for Higgs decays in the SM, singlet extended SM, type II THDM, CMSSM and MRSSM, as well as for squark decays in the CMSSM against a selection of publicly available tools. The numerical differences between our and other programs are explained. The release of FlexibleDecay officially deprecates the old effective couplings routines in FlexibleSUSY.
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- Therapy Dogs and School Well-Being: A Qualitative StudyData extracted through a qualitative questionnaire about the impacts and important implementation factors for implementing therapy dog AAIs for students in K-12 school settings.
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- Data and Code for "Institutional Investors, Heterogeneous Benchmarks and the Comovement of Asset Prices"Data and code used for the empirical analysis in the article "Institutional Investors, Heterogeneous Benchmarks and the Comovement of Asset Prices" which is published at the Journal of Financial Economics. We construct a time-series of total assets associated with prospectus primary benchmarks and with Morningstar categories using the Open-end Mutual Funds Database obtained form Morningstar Direct. Our sample includes all US actively managed equity mutual funds from March 1980 to May 2021. For each fund in every month of the sample we collect data on the total assets across all share classes, the primary prospectus benchmark, the FTSE-Russell benchmark (assigned by Morningstar), and the Morningstar category. Based on the Morningstar category, we group funds into three categories: cap-style, industry-sector, and international. For each of the nine cap-style segments, we aggregate fund benchmarks from six leading index providers (CRSP, Dow Jones, Morningstar, MSCI, Russell, and Standard & Poor’s). For the empirical analysis in Section 8, we also use the time-series of daily returns of the State Street SPDR ETFs that track the nine cap-style segments (SPY, SPYV, SPYG, MDY, MDYV, MDYG, SLY, SLYV, SLYG) since the inception of each ETF (SPY, February 1993; MDY, May 1995; SPYV, SPYG, SLYV, SLYG, October 2000; SLY, MDYV, MDYG, November 2005). For more details, see Appendix A of the article.
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- Data for the article: "Use of an L-band radiometer for proximal moisture measurement in road construction"This dataset is used to retrieve soil moisture information using observations from an L-band passive microwave radiometer for two typical road construction materials, sand subgrade and Unbound Granular Material (UGM) subbase/ base. This dataset includes: - Observed brightness temperatures (TB) from the L-band radiometer. - Recorded soil moisture and temperature from Stevens HydraProbe soil moisture sensors and temperature sensors. - Measured surface height from laser profiler. - Measured soil moisture from traditional methods: The thermogravimetric ring for sand and Nuclear Density Gauge (NDG) for UGM. These data can be used as input to a Passive Microwave Emission Model to retrieve soil moisture information. L-band radiometer was used to provide observed TB from the soil surface at different incidence angles, a laser profiler provided the roughness information, and Stevens HydraProbe soil moisture sensors and temperature sensors were used to obtain the vertical distribution of the soil temperature. These parameters together with soil texture, bulk density information, and a first guess of soil moisture were used as input to the forward model to predict the soil surface TB. The best estimate of soil moisture was then inverted using an iterative method to minimize a cost function (CF) calculated from the differences between observed and simulated TB. The Dobson dielectric mixing model was adopted for the sand subgrade and UGM subbase/ base. The moisture content of the soil was measured using the traditional technique at targeted locations to validate results from the model.
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- IPF multi-omics datasetsMetabolomics and lipidomics datasets of IPF and NDC apex and base lung explants.
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- Mobile mono-copper active site for NO catalytic decomposition in high silica LTA zeoliteThis dataset discloses the input files and optimised configurations associated with the entitled study.
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