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Sensing The Direction of Leadership and Social Identity in Dance Education_Interview data
No full textThe Social Identity in Leadership (SIL) model, recently applied in sports coaching environments argues that leadership is best understood in terms of the relationship between the leader and followers within a particular social or cultural group. SIL addresses how individuals who share a common social identity collaborate to lead other members of the community and influence them. Despite potential application benefits, this theory has yet to be defined and contextualised in dance environments. Accordingly, the aim of this study was to determine current approaches to the delivery of dance with regard to motivating learners to initiate then sustain and extend their engagement. Specifically, we sought to discover the approaches to leadership currently applied by dance teachers and to determine if principles of SIL are used. Based on a review of current literature about the application of SIL in teaching and coaching contexts, semi-structured interviews were conducted with nine experienced dance teachers recruited from a network of experienced dance teachers in the UK using a purposive sampling approach. The range of experience the dance teachers had was from 5-20 years, with an overall mean of 11 years of dance teaching. The interviews lasted between 10 and 44 min, the variation in the duration of the interviews and relevant transcripts is attributed to each participant’s ability to articulate their understanding of SIL as this is a relatively new concept and terminology to be applied to dance. Five themes emerged from the data that provide evidence to suggest that, whist not as yet clearly defined, principles of SIL were employed by the dance teachers
Incidence, severity, risk factors and outcomes of SARS-CoV-2 reinfections during the Omicron period: a systematic review and meta-analysis
No full textOur previous systematic review estimated the cumulative incidence of SARS-CoV-2 reinfections as 1.16% (1.01%-1.33%) during the pre-Omicron period. The Omicron variant that emerged in November 2021 was significantly genetically distinct from the previous SARS-CoV-2 variants and thus, more transmissible and posed an increased risk of SARS-CoV-2 reinfections in the population. We, therefore, conducted a fresh systematic review and meta-analysis to estimate the SARS-CoV-2 reinfection burden during the Omicron period. We searched CINAHL, Medline, Global Health, Embase, and WHO COVID-19 in October 2023 for studies reporting the SARS-CoV-2 reinfection incidence during the Omicron period. The quality of the included studies was assessed using the Joanna Briggs Institute checklists. Random effects meta-analyses were conducted to estimate the incidence, and requirement of hospitalisation of SARS-CoV-2 reinfections. Symptomatic severity of reinfections and case fatality rates were analysed narratively. Thirty-six studies were included. We estimated the reinfection cumulative incidence during the Omicron period based on data from 28 studies. We also presented the cumulative incidence of SARS-CoV-2 reinfections by age-groups, vaccination status, and in healthcare workers. Data were limited on disease severity and long-term outcomes. The dataset contains information on the study characteristics of included studies, and overall incidence data, incidence data stratified by different variables (mainly age, sex, vaccination status, comorbidity status, and occupation) and severity and outcomes data reported in included studies
Targeting TRPM3 As a Potential Therapeutic Approach for Autosomal Dominant Polycystic Kidney Disease
No full textAbstract
Cystic diseases, especially autosomal dominant polycystic kidney disease (ADPKD; incidence approx. 1/1000), are a leading cause of renal failure, caused by appearance and growth of renal cysts that can lead to renal failure in middle age. Most ADPKD cases are caused by mutations in PKD1 or PKD2, encoding polycystin-1 (PC1) and polycystin-2 (PC2). PC1 is a mechanosensor that controls PC2, a Ca2+-permeable cation channel that, by regulating cytoplasmic Ca2+, prevents adenylyl cyclase producing cyst-promoting concentrations of cAMP. In other systems, there is evidence for PC2 interacts with TRPM3. We therefore examined the effect of pharmacological activators and inhibitors of TRPM3 on cyst formation in cultured mouse kidney rudiments exposed to a range of concentrations of forskolin, a cAMP-elevating drug commonly used experimentally to induce cysts in cultured kidneys. We found that TRPM3 inhibitors (isosakuranetin, primidone, diclofenac) increased cyst formation, while TRPM3 activators (CIM0216 and nifedipine) greatly reduced cyst formation and reduced the sensitivity of kidneys to forskolin. These preclinical, in-vitro data suggest that TRPM3 may be a promising target in ADPKD management
Attribution of extreme precipitation related to a fatal Derailment near Carmont, Scotland
No full textSummer seasonal max rainfall from convective permitting model simulations and radar data. Model data includes only the data filtered to remove permanent 'fountains'. Distribution fits also provided. See Tett et al, 2025 "Attribution of extreme precipitation related to a fatal Derailment near Carmont, Scotland" for details of processing
High Resolution sections of eMouseAtlas Models: EMA21, Theiler Stage 12 TS12(8 dpc)
No full textHigh resolution images of each section used for the Mouse Atlas 3D models. Images are sub-sampled for the 3D models to provide approximately iso-tropic voxel dimensions, here the images are at the full resolution of the original digitisation
Photogrammetry model of Jurassic fossil nurse log
No full textPhotogrammetry model of Jurassic fossil nurse log.
A ca. 150-million-year-old nurse log was discovered and described from the Jurassic of Scotland, using classic palaeobotanical techniques and microscopy. The wood was collected along the foreshore north east of Helmsdale (58°07'15.8"N 3°37'48.6"W).
We interpret our new finding within the evolution of conifers with a literature review of fossil nurse logs, fungal and arthropod evolution.
The method to create the photogrammetry model was as follows: Images of thin sections examined at the University of Edinburgh were taken using a Keyence VHX-7000N. The HDR Function of the Keyence VHX-7000N was used to maximise image quality. Macro scale features of the nurse log were taken under cross-polarised light with a Canon EOS 5D Mark IV camera and EF 100mm f/2.8L Macro IS USM lens. This camera and lens set up was also used to capture the 3D structure of the nurse log using photogrammetry. Photographs were taken of the specimen placed on a Genie mini II turntable from Syrp Lab within a 16”x16” Neewer Studio Box lightbox. A scaled model and renders were created using AgiSoft Metashape Professional (64-bit).>Nurse log rotation0001-0250.mkv
A video showing the 3D structure of the fossil nurse log
>Nurse log with texture.glb
A 3D object file of the fossil nurse log
High Resolution sections of eMouseAtlas Models: EMA145, Theiler Stage 12 TS12(cultured) - Head
No full textHigh resolution images of each section used for the Mouse Atlas 3D models. Images are sub-sampled for the 3D models to provide approximately iso-tropic voxel dimensions, here the images are at the full resolution of the original digitisation
Tackling chronic wasting disease in Europe - cervid samples for genetic analysis
No full textTissue samples representative of wild populations of roe and red deer in France and Germany were obtained with collaboration from stakeholders (e.g. hunting associations). Additional samples from other species (e.g. sika deer, fallow deer, moose) and other countries were also obtained. Genomic DNA was extracted from tissues and used to analyse sequence variation in the PRNP gene, to estimate genetic susceptibility of surveyed species/populations to the prion disease, chronic wasting disease (CWD). This dataset records tissue/DNA samples collected for this project, along with information about species, sex, location of sampled animals, with the aim of making the samples available on request to other scientists for further research. This research was made possible by funding from ICRAD, an ERA-NET co-funded under European Union’s Horizon 2020 research and innovation programme
(https://research-and-innovation.ec.europa.eu/funding/funding-opportunities/funding-programmes-and-open-calls/horizon-2020_en), under Grant Agreement n°862605
3D-printable phantoms for quantitative dynamic contrast-enhanced MRI
No full textThis dataset contains the experimental data and code required to reproduce results and figures in the article "3D-printable phantoms for quantitative dynamic contrast-enhanced MRI" (final published version).
Abstract
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Purpose:
A novel 3D-printed phantom design and methodology is proposed, addressing important requirements for technical validation, quality assurance and multi-site harmonisation of quantitative dynamic contrast-enhanced (DCE-) MRI measurements.
Methods:
Phantoms were produced by 3D-printing gels incorporating channels and pores as proxies for blood vessels and extravascular extracellular space, respectively. A flow circuit was designed to reproduce clinically relevant arterial input functions (AIF). Using nine gels with variable porosity and channel size we evaluated the effect of 3D-printing parameters on DCE-MRI parameters obtained using the extended Tofts (ET) model. Physical gel and fitted model parameters were correlated by multiple linear regression.
Results:
All phantoms generated realistic AIFs and tissue-like signal enhancement curves were accurately modelled by the ET model. As hypothesised, vp was positively associated with vchan (B = 0.86, p < 0.001) and showed a weaker, negative association with vpore (B = -0.18, p = 0.006); PS was positively associated with both vchan (B = 0.13 min-1, p < 0.001) and vpore (B = 0.051 min-1, p < 0.001). ve was positively associated with vpore (B = 0.90, p < 0.001) but not vchan. Fitted parameters were repeatable (coefficient of variation 2.1 - 3.2 %).
Conclusions:
Tailorable 3D printed porous gel phantoms generating tissue-mimicking DCE-MRI signals have the potential to support validation, quality assurance and multi-site harmonisation of quantitative DCE-MRI.Refer to readme.txt file
High Resolution sections of eMouseAtlas Models: EMA224, Theiler Stage 10 TS10(cultured)- Embryo
No full textHigh resolution images of each section used for the Mouse Atlas 3D models. Images are sub-sampled for the 3D models to provide approximately iso-tropic voxel dimensions, here the images are at the full resolution of the original digitisation