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Data for publication "3D Printed Devices for the Separation of Blood Plasma from Capillary Samples"
Get PDFData from characterisation of 3D printed devices for the separation of plasma from whole blood samples. These are simple, low cost devices using a commercially available filtration membrane which can extract plasma from a 50 micro-litre capillary blood sample in less than two minutes and are designed to enable quick and easy sample preparation for point of care health testing. The data set is taken from seven different designs of devices using samples of horse blood obtained from the Easter Bush Pathology Laboratory at the University. The data includes full details of the input samples, the plasma output yield and quality, as well as the failure rate of the devices. Full information on the data set can be found in the readme file. The data was used in the publication: https://doi.org/10.3390/mi15030359 and the PhD thesis: “Development of microfluidic devices for the separation of blood plasma from capillary samples” http://dx.doi.org/10.7488/era/321
EatSense
No full textWe introduce a new benchmark dataset named EatSense that targets both computer vision and the healthcare community. EatSense is recorded while a person eats in a dining room uncontrolled setting. Key features are: First, it introduces challenging atomic actions for recognition. Second, the hugely varying lengths of actions in EatSense, make it nearly impossible for current temporal action localization frameworks to localize them. Third, it provides the capability to model complete eating behaviour (chain of action-based). Lastly, it simulates minor changes in motion/performance. Moreover, we conduct extensive experiments on EatSense with baseline deep learning-based approaches for bench-marking and hand-crafted feature-based approaches for explainable applications. We believe this dataset will benefit future researchers in building robust temporal action localization networks, behaviour recognition and performance assessment models for eating. The dataset is related to the publication by Muhammad Ahmed Raza, Longfei Chen, Nanbo Li and Robert B. Fisher (2023). "EatSense: Human centric, action recognition and localization dataset for understanding eating behaviors and quality of motion assessment", Image and Vision Computing, 137, 104762, ISSN 0262-8856, https://doi.org/10.1016/j.imavis.2023.10476
SUPERSEDED - The Edinburgh International Accents of English Corpus
No full text## This item has been replaced by the one which can be found at [https://doi.org/10.7488/ds/7914] ##English is the most widely spoken language in the world, used daily by millions of people as a first or second language in many different contexts. As a result, there are many varieties of English. Although the great many advances in English automatic speech recognition (ASR) over the past decades, results are usually reported based on test datasets which fail to represent the diversity of English as spoken today around the globe. We present the first release of The Edinburgh International Accents of English Corpus (EdAcc). This dataset attempts to better represent the wide diversity of English, encompassing almost 40 hours of dyadic video call conversations between friends. Unlike other datasets, EdAcc includes a wide range of first and second-language varieties of English and a linguistic background profile of each speaker. Results on latest public, and commercial models show that EdAcc highlights shortcomings of current English ASR models. The best performing model, trained on 680 thousand hours of transcribed data, obtains an average of 19.7% WER -- in contrast to the the 2.7% WER obtained when evaluated on US English clean read speech. Across all models, we observe a drop in performance on Jamaican, Indonesian, Nigerian, and Kenyan English speakers. Recordings, linguistic backgrounds, data statement, and evaluation scripts are released on our website under CC-BY-SA
Spectra of model compounds published in JMR
No full textProton-detected INADEQUATE NMR experiments are widely used for structure elucidation of small molecules, in particular the implementations that display 13C single-quantum rather than double-quantum frequencies in the indirect dimension of 2D spectra. But unfortunately, such spectra in addition to the desired 1H-13C two-bond correlations also contain HSQC artifacts of comparable magnitude. The redesigned versatile experiment presented in this paper requires no compromise based on different 13C multiplicities and suppresses the HSQC artifacts that are a source of possible spectral misinterpretation. Demonstration of the new method is shown by applications to typical small molecules of different complexity.List of spectra.docx
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A socio-material analysis of Physical Education teachers’ digital health mind maps: full narratives
No full textThe dataset includes narratives that were developed from a mind mapping activity intended to explore the human and non-human factors with transformative capacities and the various assemblages (contextual and affective experiences) that might move teachers towards becoming more critical. The dataset is related to the publication "Critical engagement with digital health: a socio-material analysis of Physical Education teachers' digital health mind maps" (in submission)
Enlarged Perivascular Spaces Quantified from Brain Magnetic Resonance Images acquired at 1.5T vs. 3T
Get PDFMagnetic resonance imaging (MRI)-visible perivascular spaces (PVS) have been found to be associated with disease phenotypes, indicators of sleep quality, and overall health. However, their role is still difficult to ascertain mainly given limitations of sample size and heterogeneity in their acquisition and analysis. We use brain MRI from 100 adult volunteers, acquired at two different magnetic field strengths with different sequence parameters. We visually scored the PVS burden and, independently, automatically segmented the PVS in each scan blind to any patient and imaging acquisition information. We analysed the quantitative a) raw results, b) results after adjusting for the volume of the region of interest, and c) results after applying ComBat harmonisation. This dataset contains the imaging protocols, the raw PVS measurements/visual scores, the measurements after being adjusted by each method, and the Matlab scripts to harmonise the data and statistically analyse the results.The contents of this dataset and the methods used to obtain the derived data are described in the file: 1_5Tvs3T_Readme.pdf, which is part of this submission
Phenotypic and fitness consequences of plasticity in the rhythmic replication of malaria parasites.
Get PDFThe environment that parasites experience within their host changes dramatically over 24 hours. How rhythms shape host-parasite-vector interactions is poorly understood due to the challenges of disentangling the roles of rhythms of multiple interacting species in the context of the complex lifecycles of parasites. Using canonical circadian clock disrupted hosts, we probe the limits of flexibility in the rhythmic replication of malaria (Plasmodium) parasites and quantify the consequences for fitness proxies of both parasite and host. We reveal that parasites alter the duration of their replication rhythm to resonate with host rhythms that have short (21 hour) daily T-cycles as accurately as when infecting host with 24 hour cycles, but are unable to extend their replication rhythm in hosts with long (27 hour) cycles. Despite matching the period of short T-cycle hosts, parasites are unable to lock to the correct phase, resulting in lower within-host productivity and a reduction in transmission potential. However, parasites in long T-cycle hosts do not experience substantial fitness costs. Furthermore, T-cycle duration does not affect disease severity in clock disrupted hosts. Understanding the rhythmic replication of malaria parasites offers the opportunity to interfere with parasite timing to improve health and reduce transmission
SUPERSEDED - Velocity time-series data from a hybrid finite element Large Eddy Simulation of flow over a backward-facing step
No full text##This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/7690 ## A Large Eddy Simulation turbulence (LES) algorithm has been developed for finite element-based computational fluid dynamics, using a hybrid continuous-discontinuous Galerkin scheme. The test case for this was a backward-facing step, which is a well-known example with published experimental results for validation. This dataset contains output data from the validation test case
The 4AT, a rapid delirium detection tool for use in hospice inpatient units: Findings from a validation study
No full textBackground: Delirium is a serious neuropsychiatric syndrome with adverse outcomes, which is common but often undiagnosed in terminally ill patients. The 4AT or 4'A's test (www.the4AT.com) is a brief delirium detection tool which is widely used in general settings, but validation studies in terminally ill patients are lacking.
Aim: To determine the diagnostic accuracy of the 4AT in detecting delirium in terminally ill people, who are hospice inpatients.
Design: A diagnostic test accuracy study in which participants underwent the 4AT and a reference standard based on the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders. The reference standard was informed by Delirium Rating Scale Revised-98 and tests assessing arousal and attention. Assessments were conducted in random order by pairs of independent raters, blinded to the results of the other assessment.
Setting/participants: The setting was two hospice inpatient units in Scotland, UK. Participants were 148 hospice inpatients aged ≥18.
Results: 137/148 participants completed both assessments. Three participants had an indeterminate reference standard diagnosis and were excluded, yielding a final sample of 134. Mean age was 70.3 (SD 10.7) years. 33% (44/134) had reference standard delirium. The 4AT had a sensitivity of 89% (95% CI 79-98%) and a specificity of 94% (95% CI 90-99%). The area under the receiver operating characteristic (ROC) curve was 0.97 (95% CI 0.94-1).
Conclusions: The results of this validation study support use of the 4AT as a delirium detection tool in hospice inpatients, and add to the literature evaluating methods of delirium detection in palliative care settings.These results support the use of 4AT as a validated delirium detection tool in palliative care settings.
Trial registry: ISCRTN 974174744AT case report form,
Reference standard case report form,
Datase
KAW - Maˈya (Kawe dialect: ISO 369-3: kbg, Glottocode: kawe1240) segmented files
No full textThis dataset contains segmented audio files from the raw recordings in the Maˈya (Kawe dialect: ISO 369-3: kbg, Glottocode: kawe1240) collection; the full collection is available here: https://datashare.ed.ac.uk/handle/10283/8584. These segmented files are designed to facilitate searches for a particular word or construction in the Kawe Maˈya collection. Full information on how to navigate these segmented files using the filenames is given in the Documentation file. The audio files in this dataset come from recordings that were made between 28 February and 1 March 2023, in Waisai town (Waigeo island, Raja Ampat regency, Southwest Papua province, Indonesia). This dataset relates to the British Academy Postdoctoral Fellowship 'Synchronic and diachronic investigations in Raja Ampat-South Halmahera, a little-known subbranch of Austronesian' (PF19\100004); additional fieldwork funds were provided by a British Academy Small Grant (SG1920\100342). Further deposits are available in the related DataShare sub-community (https://datashare.ed.ac.uk/handle/10283/8573)