727 research outputs found
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Accuracy of rapid point-of-care antigen-based diagnostics for SARS-CoV-2: an updated systematic review and meta-analysis with meta regression analyzing influencing factors [Research Data]
Background
Comprehensive information about the accuracy of antigen rapid diagnostic tests (Ag-RDTs) for SARS-CoV-2 is essential to guide public health decision makers in choosing the best tests and testing policies. In August 2021, we published a systematic review and meta-analysis about the accuracy of Ag-RDTs. We now update this work and analyze the factors influencing test sensitivity in further detail.
Methods and findings
We registered the review on PROSPERO (registration number: CRD42020225140). We systematically searched multiple databases (PubMed, Web of Science Core Collection, medRvix, bioRvix, and FIND) for publications evaluating the accuracy of Ag-RDTs for SARS-CoV-2 until August 31, 2021. Descriptive analyses of all studies were performed, and when more than 4 studies were available, a random-effects meta-analysis was used to estimate pooled sensitivity and specificity with reverse transcription polymerase chain reaction (RT-PCR) testing as a reference. To evaluate factors influencing test sensitivity, we performed 3 different analyses using multivariate mixed-effects meta-regression models. We included 194 studies with 221,878 Ag-RDTs performed. Over-all, the pooled estimates of Ag-RDT sensitivity and specificity were 72.0% (95% confidence interval [CI] 69.8 to 74.2) and 98.9% (95% CI 98.6 to 99.1), respectively. When manufacturer instructions were followed, sensitivity increased to 76.4% (95%CI 73.8 to 78.8). Sensitivity was markedly better on samples with lower RT-PCR cycle threshold (Ct) values (sensitivity of 97.9% [95% CI 96.9 to 98.9] and 90.6% [95% CI 88.3 to 93.0] for Ct-values <20 and <25, compared to 54.4% [95% CI 47.3 to 61.5] and 18.7% [95% CI 13.9 to 23.4] for Ct-values ≥25 and ≥30) and was estimated to increase by 2.9 percentage points (95% CI 1.7 to 4.0) for every unit decrease in mean Ct-value when adjusting for testing procedure and patients’ symptom status. Concordantly, we found the mean Ct-value to be lower for true positive (22.2 [95% CI 21.5 to 22.8]) compared to false negative (30.4 [95% CI 29.7 to 31.1]) results. Testing in the first week from symptom onset resulted in substantially higher sensitivity (81.9% [95% CI 77.7 to 85.5]) compared to testing after 1 week (51.8%, 95% CI 41.5 to 61.9). Similarly, sensitivity was higher in symptomatic (76.2% [95% CI 73.3 to 78.9]) compared to asymptomatic (56.8% [95% CI 50.9 to 62.4]) persons. However, both effects were mainly driven by the Ct-value of the sample. With regards to sample type, highest sensitivity was found for nasopharyngeal (NP) and combined NP/oropharyngeal samples (70.8% [95% CI 68.3 to 73.2]), as well as in anterior nasal/mid-turbinate samples (77.3% [95% CI 73.0 to 81.0]).
Conclusion
Ag-RDTs detect most of the individuals infected with SARS-CoV-2, and almost all when high viral loads are present (>90%). With viral load, as estimated by Ct-value, being the most influential factor on their sensitivity, they are especially useful to detect persons with high viral load who are most likely to transmit the virus. To further quantify the effects of other factors influencing test sensitivity, standardization of clinical accuracy studies and access to patient level Ct-values and duration of symptoms are needed
Forschungsdaten zur Dissertation "Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst"
Das Dataset enthält Katalogdaten und statistische Auswertungen inkl. Dokumentation (README) zur Dissertation "Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst".This dataset contains catalog data and statistical analysis data including a short documentation (README file). The files belong to the PhD document "Vox ex imagine. Formen des Zusammenwirkens von Bild und ‚sprechender‘ Beischrift in der antiken Flächenkunst" (eng. "Forms of interaction between images and ‘speaking’ captions in ancient flat art")
A filled-up phonological buffer does not block conceptualization: evidence from a reaction time paradigm [Research Data]
This dataset was published as part of the supplementary material for the research article: Gerwien, J. & Stutterheim, C. v. & Rummel, J. (2022). What is the interference in "verbal interference"?. Acta Psychologica (230).
We provide reaction time data from two language production experiments, as well as further materials: Appendix A - instructions for participants (Experiment 1 and 2); Appendix B - an overview of all stimuli used; Appendix C - the complete documentation of the statistical analyses
Dimeric and Trimeric Catenation of Giant Chiral [8+12] Imine Cubes Driven by Weak Supramolecular Interactions [Data]
Mechanically interlocked structures, such as catenanes or rotaxanes are fascinating synthetic targets and some are used for molecular switches and machines. Today, the vast majority of catenated structures are built upon macrocycles and only a very few examples of three-dimensional shape-persistent organic cages forming such structures are reported. However, the catenation in all these cases was based on a thermodynamically favoured π-π stacking under certain reaction conditions. Here, we present our findings that catenane formation can be driven by even less directional dispersion (Keesom) interactions of methoxy-groups during the synthesis of chiral [8+12] imine cubes, giving dimeric and also for the first time trimeric catenated organic cages. To further elucidate the underlying driving forces, eleven differently 1,4-substituted benzene dialdehydes have been reacted with a chiral triamino tribenzotriquinacene under various conditions to study whether monomeric cages or catenated cage dimers are the preferred products
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
Test data and models to the paper "Assessment of glomerular morphological patterns by deep learning algorithms".
Different, from other groups, defined CNN-models (saved as .pt-files) are trained to identify nine predefined patterns of glomerular changes.
The models are: AlexNet [1], ResNet18-152 [2], ResNet34 [2], ResNet50 [2], ResNet101 [2], ResNet152 [2], vgg11 [3], vgg16 [3], vgg19 [3], squeeznet [4], inception [5], and densenet121 [6].
The patterns are pattern 01: normal glomerulus, pattern 02: amyloidosis, pattern 03: nodular sclerosis, pattern 04: global sclerosis, pattern 05: mesangial expansion, pattern 06: membranoproliferative glomerulonephritis (MPGN), pattern 07: necrosis, pattern 08: segmental sclerosis, and pattern 09: other structures / default.
References:
Krizhevsky, A., One weird trick for parallelizing convolutional neural networks. arXiv preprint arXiv:1404.5997, 2014.
He, K., et al. Deep residual learning for image recognition. in Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.
Simonyan, K. and A. Zisserman, Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556, 2014.
Landola, F.N., et al., SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and
Szegedy, C., et al. Rethinking the inception architecture for computer vision. in Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.
Huang, G., et al. Densely connected convolutional networks. in Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.
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Making plant methane formation visible – insights from application of 13C-labelled dimethyl sulfoxide [Research Data]
Methane (CH4) formation by vegetation has been studied intensively over the last 15 years. However, reported CH4 emissions vary by several orders of magnitude, thus making global estimates difficult. Moreover, the mechanism(s) for CH4 formation by plants is (are) largely unknown.
Here, we introduce a new approach for making CH4 formation by plants clearly visible. By application of 13C-labelled dimethyl sulfoxide (DMSO) onto the leaves of tobacco plants (Nicotiana tabacum) and Chinese silver grass (Miscanthus sinensis) the effect of light and dark conditions on CH4 formation of this pathway was examined by monitoring stable carbon isotope ratioss of headspace CH4 (δ13C-CH4 values).
Both plant species showed increasing headspace δ13C-CH4 values while exposed to light. Higher light intensities increased CH4 formation rates in N. tabacum but decreased rates for M. sinensis. In the dark no formation of CH4 could be detected for N. tabacum, whilst M. sinensis still produced ~50 % of CH4 compared to that during light exposure.
Our findings suggest that CH4 formation is clearly dependent on light conditions and plant species and thus indicate that DMSO is a potential precursor of vegetative CH4. The novel isotope approach has great potential to investigate, at high temporal resolution, physiological and environmental factors that control pathway specific CH4 emissions from plants
Paris und Versailles in Reisebeschreibungen deutscher Architekten um 1700. Pitzler, Corfey und Sturm [research data]
This is the research data related to the publication "Paris und Versailles in Reisebeschreibungen deutscher Architekten um 1700. Pitzler, Corfey und Sturm" (Paris and Versailles in travelogues of German architects around 1700. Pitzler, Corfey and Sturm). The publication is based on a dissertation submitted to the Technische Universität Berlin in 2020.
Due to their size, the research data could not be included within the book and is published here.
The tables contain the research results from the analysis of the parts of the travelogues by Christoph Pitzler, Lambert Friedrich Corfey and Leonhard Christoph Sturm referring to France. There are three tables for each travelogue (Tables Pitzler 1-3, Tables Corfey 1-3, Tables Sturm 1-3) and an overview of the results for each travelogue. In each table, different information is collected.
Tables 1 proceed in the order of the pages of the travelogues and list all the contents of each page and the sources of the contents. Tables 2 list the content per quarter page and give the text-image ratio of each page. Tables 3 list, among other things, the content by category (sections, areas, types) and the words and illustrations counted. </p
Zugehörige Daten zu: The ‘cerealisation’ of the Rhineland: Extensification, crop rotation and the medieval ‘agricultural revolution’ in the longue durée
The supplemental table provides the lab identification code (ID) of each isotopic sample. It also provides information about the archaeological site, date, crop taxa and number of grains analysed for each isotopic sample, as well as their %C, %N, δ13C and δ15N values
Visualizing morphological principles for efficient photocurrent generation in organic non-fullerene acceptor blends [Research data]
Research Data associated with the related publication
LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten - Band 2: Malerei und Skulptur [Anwendungsbeispiele]
LIDO (Lightweight Information Describing Objects) ist ein XML-Schema für die standardkonforme Bereitstellung von Metadaten über kulturelle Objekte in einer Vielzahl von digitalen Kontexten. Basierend auf diesem internationalen Standard dient das "LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten, Band 2: Malerei und Skulptur" als Anleitung für die schlüssige Strukturierung von Informationen über Gemälde und Skulpturen in lokalen Sammlungsmanagement-Systemen.
In dem hier vorliegenden Dataset werden LIDO-XML-Beispieldatensätze für die Version LIDO v1.1. zur Verfügung gestellt, die unmittelbar bei der Vorbereitung eines Datenexports aus einem lokalen System als Anschauungsmaterial dienen können. Das Dataset umfasst sowohl vollständige LIDO-XML-Datensätze als auch einzelne Ausschnitte zur Illustration bestimmter Dokumentationsanforderungen (Snippets).
Erfolgt die Bereitstellung von XML-Datensätzen über kulturelle Objekte gemäß den im LIDO XML-Schema definierten Regeln, so wird eine wesentliche Voraussetzung dafür geschaffen, dass die Daten rechtlich und technisch optimal durch Dritte nachgenutzt werden können. Außerdem werden Suchergebnisse in sammlungsübergreifenden Anwendungen hinsichtlich Recall und Precision verbessert. Informationen können so vernetzt werden, dass ein Mehrwert durch die Generierung von Wissen entsteht.
Das Handbuch und die es begleitenden Beispiele entstanden im Rahmen des Projekts KONDA - Kontinuierliches Qualitätsmanagement von dynamischen Forschungsdaten zu Objekten der materiellen Kultur unter Nutzung des LIDO-Standards, gefördert vom Bundesministerium für Bildung und Forschung (BMBF)