1401 research outputs found
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Pandemic lifeworlds: A segmentation analysis of public responsiveness to official communication about Covid-19 in England - dataset
No full textWe conducted 5,525 surveys online in England between 4 and 24 January 2022 and 105 surveys via telephone between 26 January and 7 March. The questions were then divided into 12 blocks of related items and for each we measured the respondent-level variability. A set of rules were devised to identify respondents who showed little or no variation in their responses (either across multiple blocks or overall). Some blocks were omitted from consideration since it was deemed that a consistent response may be reasonable (e.g. satisfaction with various aspects of ones’ life). We also plotted respondent-level mean and variance for several key blocks of attitudinal statements. A key feature of the plots was the existence of a small proportion of respondents who completely agreed with (almost) every statement (seen as low variability, high mean), even when statements had contradictory meanings. These respondents were also removed from further analysis. In total 329 respondents were removed, leaving 5,178 for the segmentation analysis. The resulting 5,178 online respondents comprised a core, nationally representative sample of UK adults with quotas set for age, gender, region, and social grade, with boosters used to achieve larger samples for ethnic minorities (1,405), those in deciles 1-3 of the Index of Multiple Deprivation (1,975), and those in 20 local authorities that had seen particularly enduring levels of Covid-19 transmission (558). The additional 105 surveys conducted via landline telephone were with people who were digitally excluded (defined as never having used the internet or not having used it in the last three months), for a total of 5,283 included in the segmentation cluster analysis. 51% of the sample were female and 49% male. 83% were white British, with the remaining 17% including persons of Indian, Pakistani, Bangladeshi, and African origin as the largest ethnic minority groups
Simulation of bidisperse colloidal centrifugal sedimentation using a mixture viscosity model - Dataset
No full textDLVO calculation at two different conditions (Fig. 1); Earth gravity simulation at 11 hr (Fig. 2); Centrifugal simulation 500:800 nm particles, multiple times (Fig. 5); X-ray sedimentation example (Fig. 4); 100:500 simulation multiple times (Fig. 5); Interface versus height, Earth gravity (Fig. 6); Interface versus height, centrifugal cases 500:800 nm particles (Fig. 7); Interface versus height, 100:500 nm case (Fig. 8); Comparison across concentration range, 500:800 nm cases (Fig. 9); Comparison across concentration range, 100:500 nm case (Fig. 10)
Training Video: Plastic pollution assessment methodologies suitability toolkit (PLAST)
No full textPLAST is a Microsoft Excel VBA tool designed to characterize and compare plastic pollution assessment methodologies to suggest the most suitable options based on a user's requirements. The training video provides the necessary training to install and use the toolkit
How birds dissipate heat before, during and after flight
No full textDuring flight, birds must dissipate heat to avoid hyperthermia. We used thermal imaging to determine the dissipation of heat from different body regions in lovebirds before, during and after flight. The high power demands of flight, resulted in a 19-fold increase in heat dissipation during, compared to after, flight, with most heat dissipated by convection from the lower surface of the wings. After flight, heat dissipation from the head and legs increased compared to before flight. Understanding the mechanisms through which birds dissipate heat is important in predicting how birds’ behaviour and survival may be impacted by climate change. This is the data set for the study
FPR1 photoaffinity probe - associated data
No full textNMR spectroscopy data from the synthesis of fmoc-photomethionine, HPLC traces for the synthesis of peptidic fluorescent probes for formylpeptide receptor 1, and SDS-PAGE gel electrophoresis data, flow cytometry data and microscopy data for analysis of probe binding to proteins
Acoustic band engineering in terahertz quantum-cascade lasers and arbitrary superlattices - dataset
Get PDFData associated with publication: "Acoustic band engineering in terahertz quantum-cascade lasers and arbitrary superlattices", the repository contains raw data presented in the paper
Dataset from Electron Transparent Nanotubes Reveal Crystallization Pathways in Confinement
No full textData includes characterisation of calcium sulfate crystals formed in confinment inside nanopores. Bulk material analysis with powder X-ray diffraction and Raman. Imaging of samples using scanning electron microscopy and transmission electron microscopy. Nanaoscale elemental analyisis using energy dispersive X-ray and nanoscale materials analysis from selected area electron diffraction. These experimental data are supported by molecular dynamics simulations of water approaching and moving within bassanite crystal structures and COMSOL flux modelling of material movement to a crystal forming within a confined pore
Evaluating the use of a novel low-cost measurement insole to characterise plantar foot strain during gait loading regimes - Dataset
No full textThis data set contains data relating to the journal article "Evaluating the use of a novel low-cost measurement insole to characterise plantar foot strain during gait loading regimes", including raw input image data, pre-processed strain data and processed regional strain outputs
STEP files for use with StrEmbed software prototype
No full textThree sets of STEP files are presented for use with the StrEmbed software prototype for investigation of design configuration spaces. STEP files are a standard data exchange format for the representation of engineering design bills of materials (BoMs). BoMs for two test cases - a five-piece puzzle and a torch - and one case study - a railway carriage - are presented. Three STEP files for each are provided. All can be loaded into the StrEmbed software, which is available at Github here: https://github.com/paddy-r/StrEmbed-6-1. The STEP files were created at the University of Leeds by Hau Hing Chau
Data associated with 'Optimization of an information leaflet to influence medication beliefs in women with breast cancer: a randomized factorial experiment'
No full textMost women with breast cancer are prescribed adjuvant endocrine therapy (AET) to prevent recurrence and mortality, but adherence is suboptimal. Negative beliefs about the necessity of AET and high concerns are barriers to adherence. We aimed to optimize the content of an information leaflet intervention, to support AET beliefs. We conducted an online screening experiment using a 2^5 factorial design to optimize the leaflet. The leaflet had five components, each with two levels; 1) diagrams about AET mechanisms (on/off); 2) infographics displaying AET benefits (enhanced/basic); 3) AET side-effects (enhanced/basic); 4) answers to AET concerns (on/off); 5) breast cancer survivor (patient) input: quotes and photographs (on/off). Healthy adult women (n=1604), recruited via a market research company, were randomized to one of 32 experimental conditions, which determined the levels of components received. Participants completed the beliefs about medicines questionnaire before and after viewing the leaflet.
Note: This dataset only contains data for the primary outcome (beliefs about AET). A dataset containing secondary outcome data will be shared in due course