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The effect of cationic surfactants on improving natural clinoptilolite for the flotation of cesium - Dataset
Get PDFIn this study, flotation was investigated as a rapid separation technique to dewater powdered clinoptilolite ion-exchange resins by utilising cationic surfactant collectors, for the decontamination of radioactive cesium ions (Cs+) from nuclear waste effluent streams. The zeta potential of clinoptilolite with different concentrations of cesium is included in the datafile entitled "Zetapotential". Adsorption equilibrium and kinetics of cesium on clinoptilolite is given in the datafile entitled "AdsorptionKin". The particle size distribution of Cs-contaminated clinoptilolite with different surfactant concentrations of EHDa-Br and CPC, is given in the datafile called "Particlesized". Equilibrium air-water surface tension of EHDA-Br and CPC surfactants is given in the datafile "SurfaceTensio". This datafile also contains the surface tension of mixed surfactant-clinoptilolite systems and the resulting adsorption coefficient distribution. The total amount of remobilised Cs+ in ppm and percentage terms, of a 5 ppm dose from adsorption of surfactant onto clinoptilolite, is given in the datafile "AASsurfactant". Lastly, in the datafile called "Flotation", is given both the clinoptilolite recovery and water reduction ratio as surfactant concentration is varied for a) EHDA-Br and b) CPC ; including the effect of MIBC concentration and the effect of cesium concentration changes. Overall, this study highlighted the great viability of flotation to separate and concentrate the contaminated powder in the froth phase
Developing a quick, cost-effective genetic screen for enamel disease
Get PDFAmelogenesis imperfecta (AI) refers to a group of rare, inherited disorders characterised by abnormal enamel formation. According to the AI Leiden Open Variant Database (LOVD) hosted by Leeds University (http://dna2.leeds.ac.uk/LOVD/), there are 19 genes involved in non-syndromic AI that account for >90% of the known AI-causing mutations. Conventionally the identification of inherited gene mutations in a family would be done through family studies. However, with technological improvements and decreasing costs, next generation sequencing (NGS) technology has become the gold standard in the genetic research. Single molecule molecular inversion probe (smMIP) is an NGS based DNA sequencing approach that can selectively target and analyse thousands of genomic positions in a single reaction. It is superior in terms of cost, throughput, scalability, sensitivity, and specificity and can process hundreds of patients simultaneously. To identify mutations in AI patients, an smMIP method was adapted and validated that can be used as a first point of screening for all the future patients. The aim is to make diagnosis quicker for patients with known mutations and to provide extra resources to focus on the discovery of novel gene mutations
Household Forecasts for the Planning of Long-Term Domestic Water Demand: Application to London and the Thames Valley - Dataset
Get PDFThe dataset, Household & Water Demand Forecasts.xlsx, provides the results of a forecast of household populations by household type (property type, size and ethnicity of household representative person) for six water resource zones supplied with domestic water by Thames Water Utilities Ltd. The file Metadata-PSP-18-0065.docx describes the contents of the Excel workbook, step by step. The workbook follows the structure set out in Figure 1 in the associated paper published in the journal Population, Space and Place in 2019. The paper describes the household forecasting models, results, and adds forecast water consumption to produce forecast total domestic water consumption. For details of the water consumption models see Rizwan Nawaz, Philip Rees, Stephen Clark, Gordon Mitchell, Adrian McDonald, Michelle Kalamandeen, Chris Lambert, and Ross Henderson (2019) Long-Term Projections of Domestic Water Demand: A Case Study of London and the Thames Valley. Journal of Water Resource Planning & Management, 2019, 145(11): 05019017. DOI: 10.1061/(ASCE)WR.1943-5452.000108
Dataset associated with 'Gene expression signatures of synovial fluid multipotential stromal cells (MSCs) in advanced knee osteoarthritis and following knee joint distraction'
No full textComparing Category and Typicality Judgements for Spatial Prepositions
No full textVarious accounts of cognition and semantic representations have highlighted that, for some concepts, different factors may influence category and typicality judgements. In particular, some features may be more salient in categorisation tasks while other features are more salient when assessing typicality. In experiment we explore the extent to which this is the case for the English spatial prepositions (`in', `inside', `on', `on top of', `over', `above', `under', `below' and `against'). We hypothesise that object-specific features --- related to object properties and affordances --- are more salient in categorisation, while geometric and physical relationships between objects are more salient in typicality judgements. In order to test this hypothesis we conducted a study using virtual environments to collect both category and typicality judgements in 3D scenes. The data collection framework is built on the Unity3D game development software, which provides ample functionality for the kind of tasks we implement. Two tasks were created for our study --- a Categorisation Task and a Typicality Task. In the Categorisation Task participants are shown a figure-ground pair (highlighted and with text description) and asked to select all prepositions in the list which fit the configuration. Participants may select `None of the above' if they deem none of the prepositions to be appropriate. In the Typicality Task participants are given a description and shown two configurations. Participants are asked to select the configuration which best fits the description. Again, participants can select none if they deem none of the configurations to be appropriate. The current dataset is from an online study where participants were recruited via internal mailing lists along with recruitment of friends and family. We have created 18 virtual 3D scenes each containing a single highlighted figure-ground pair. Four scenes each were created for `in', `on', `over' and `under' and these scenes were also shared with their respective geometric counterparts: `inside', `on top of', `above' and `below'. Two scenes were created for `against'. In the Typicality Task, participants compare scenes/configurations associated with the preposition given in the description. The study was conducted online and participants from the university were recruited via internal mailing lists along with recruitment of friends and family. Each participant performed first the Categorisation Task on 6 randomly selected scenes and then the Typicality Task on 15 randomly selected scenes, which took participants roughly 5 minutes. 30 native English speakers participated providing 180 annotations in the Categorisation Task and 447 annotations in the Typicality Task. As the study was hosted online, we first asked participants to show basic competence. This was assessed by showing participants two simple scenes with an unambiguous description of an object. Participants are asked to select the object which best fits the description. If the participant makes an incorrect guess in either scene they are taken back to the start menu
A major combustion aerosol event had a negligible impact on the atmospheric ice-nucleating particle population
No full textClouds containing supercooled water are important for both climate and weather, but our knowledge of which aerosol particle types nucleate ice in these clouds is far from complete. Combustion aerosols have strong anthropogenic sources and if these aerosol types were to nucleate ice in clouds they might exert a climate forcing. Here, we quantified the atmospheric ice-nucleating particle (INP) concentrations during the UK’s annual Bonfire Night celebrations, which are characterised by strong anthropogenic emissions of combustion aerosol. We used three immersion mode techniques covering more than six orders of magnitude in INP concentration over the temperature range from −10 °C to homogeneous freezing. We found no observable systematic change in the INP concentration on three separate nights, despite more than a factor of 10 increase in aerosol number concentrations, up to a factor of 10 increase in PM10 concentration and more than a factor of 100 increase in black carbon (BC) mass concentration relative to pre-event levels. This implies that BC and other combustion aerosol such as ash did not compete with the INPs present in the background air. Furthermore, the upper limit of the ice-active site surface density, ns(T), of BC was shown to be consistent with several other recent laboratory studies, showing a very low ice-nucleating activity of BC. We conclude that combustion aerosol particles similar to those emitted on Bonfire Night are at most of secondary importance for the INP population relevant for mixed-phase clouds in typical mid-latitude terrestrial locations
Data associated with ‘Molecular Characterization of Strongly and Weakly Interfacially Active Asphaltenes by High-Resolution Mass Spectrometry’
Get PDFAsphaltenes are a complex mixture of molecular structures with a variety of functionalities, which in turn impacts their physical properties. Discriminating between asphaltenes that are strongly and weakly interfacially active is providing new direction to mitigate asphaltene-related problems. Whole asphaltenes (WA) were extracted from a South American heavy crude oil, further fractionated into interfacially active asphaltenes (IAA) and remaining asphaltenes (RA), and molecularly characterized by positive-ion (+) atmospheric pressure photoionization (APPI) using a 9.4 tesla Fourier transform ion cyclotron mass spectrometer (FT-ICR MS). The IAA fraction was found to contain a greater abundance of heteroatoms with > 50% of IAA containing two or more heteroatoms as compared to ~30% for RA. The IAA fraction was enriched in oxygen containing species, more specifically higher-order Ox and OxSy groups that were predominantly of low DBE. Gas-phase fragmentation of RA and IAA precursor ions (m/z 650) by infrared multiphoton dissociation (IRMPD) revealed an abundance of multi-core motifs in IAA, while RA was found to be a mixture of single-core and multi-core structures. Analysis of the fragmented ions showed a prevalence of nitrogen-containing species of high DBE (aromatic molecular structures), while oxygen-containing species were most likely associated with aliphatic side chains. Extrography fractionation of RA and IAA verified the abundance of multi-core motifs in IAA which were highly-polar and of low DBE and carbon number. These ‘atypical’ structures of IAA are classified as asphaltenes as a result of their functionality and polarity rather than high aromaticity
Ribosome analysis using nanopipettes - dataset
Get PDFThis dataset contains the entire data that was made use of for the paper titled "Ribosome fingerprinting with a solid-state nanopore" by Raveendran et al. All the ion current data obtained via nanopipette translocation experiments are provided in abf files along with an excel file containing the relevant source data for the figures in the paper. Additionally, the sucrose gradient centrifugation data for the various ribosome and polysome samples used in the study are also included. See the Readme.docx file for further description
Urban Anchal household survey
No full textUrban Anchal study baseline and six-month follow-up household surveys. Baseline household survey conducted between July and August 2017 in a ward within south Dhaka, Bangladesh, and aimed to assess the demand for centre-based child-care and current child-care practices. Six-month follow-up survey of the same households conducted between January and February 2018, and aimed to identify the proportion of baseline survey respondents who were traceable six-months after the baseline survey (to inform the design of a future larger definitive study) and to explore any changes in demand for centre-based child-care and current child-care practices
FailSpace project
Get PDFThis research explores how cultural policy can better recognise, acknowledge and learn from failure. It posits that failures are largely overlooked in the dominant narratives about cultural participation policies and projects and argues that this absence reduces the capacity for learning and change. By moving beyond the tendency to make the ‘case for culture’ which is prevalent both in academic and policy documents, this research provides space for alternative voices to be heard. In doing so, the study disrupts the taken-for-granted assumptions upon which existing policy processes and practices are sustained and reproduced. It presents alternative stories of failure, with the intention to encourage new routes for future policy intervention intended to support cultural participation. The data includes interviews, workshops, and surveys with policy makers, cultural practitioners and participants