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1,049 results for “Robustness”
In vitro cell cycle oscillations exhibit a robust and hysteretic response to changes in cytoplasmic density
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Robust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network
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Data from: Maximum mutational robustness in genotype-phenotype maps follows a self-similar blancmange-like curve
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Data from: Scoutknife: A naïve, whole genome informed phylogenetic robusticity metric
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Richness patterns in vertebrates are robust to the Linnean and Wallacean shortfalls
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Boosting multiplexing capabilities for error-robust spatial transcriptomic methods using a set exchange approach
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Human annotation data for ACL 2020 paper "Designing Precise and Robust Dialogue Evaluators"
<p>Human annotation data for ACL 2020 paper "Designing Precise and Robust Dialogue Evaluators"</p>
Preexisting memory CD4 T cells in naïve individuals confer robust immunity upon vaccination
<p>Data set accompanying the publication "Preexisting memory CD4 T cells in naïve individuals confer robust immunity upon vaccination".</p> <p>In this study, we utilize high-throughput sequencing to profile the memory CD4 TCRβ repertoire and track vaccine-specific and epitope-specific TCRβ clonotypes following the de novo administration of hepatitis B (HepB) vaccine in healthy HepB-naïve individuals.</p> <p>The data set is comprised out of the following parts:</p> <ul> <li>repTCRb: Folder containing CD4+ TCR repertoire data from volunteers. Some of these samples are also available in ImmuneAccess (https://clients.adaptivebiotech.com/pub/deneuter-2018-cmvserostatus).</li> <li>peptideTCRab: Folder containing peptide-specific or peptide-pool-specific TCR data</li> <li>df_all: Meta and FC data for samples and volunteers</li> <li>freqCD154: CD154-based group definitions</li> <li>groups.csv: Group definitions used for classes</li> </ul>
Geometric morphometric wing analysis represents a robust tool to identify female mosquitoes (Diptera: Culicidae) in Germany
<p>Accurate species identification is the prerequisite to assess the relevance of mosquito specimens, but is often hindered by missing or damaged morphological features. The present study analyses the applicability of wing geometric morphometrics as a low-cost and practical alternative to identify native mosquitoes in Germany. Wing pictures were collected for 502 female mosquitoes of five genera and 19 species from 80 sampling sites. The reliable species identification based on interspecific wing geometry of 18 landmarks per specimen was tested. Leave-one-out cross validation revealed an overall accuracy of 99% for the genus and 90% for the species identification. Misidentifications were mainly due to three pairings of <i>Aedes</i> species: <i>Aedes annulipes</i> vs. <i>Aedes cantans</i>, <i>Aedes cinereus</i> vs. <i>Aedes rossicus</i> and <i>Aedes communis </i>vs. <i>Aedes punctor.</i> Cytochrome oxidase subunit I (COI) gene region was sequenced to validate the morphological and morphometric identification. Similar to the results of the morphometric analysis, the same problematic three <i>Aedes</i>-pairs clustered, but most other species could be well separated. Overall, our study underpins that morphometric wing analysis is a robust tool for reliable mosquito identification, which reach the accuracy of COI barcoding.</p>
Evaluating Robustness to Context-Sensitive Feature Perturbations of Different Granularities: Further Appendices
<p>Further appendices for <a href="https://arxiv.org/abs/2001.11055">Evaluating Robustness to Context-Sensitive Feature Perturbations of Different Granularities</a>.</p> <p>Includes:</p> <ol> <li>imagenet_examples_appendix.pdf, which contains many examples of context-sensitive ImageNet feature perturbations of different granularities.</li> <li>animations_appendix.zip, which contains animations showing the effect as the feature perturbations are gradually introduced to different images.</li> </ol> <p>Each appendix includes a much more detailed description of its contents.</p>
Robust estimates of the true (population) infection rate for COVID-19: a backcasting approach
<p>Differences in COVID-19 testing and tracing across countries, as well as changes in testing within each country over time, make it difficult to estimate the true (population) infection rate based on the confirmed number of cases obtained through RNA viral testing. We applied a backcasting approach to estimate a distribution for the true (population) cumulative number of infections (infected and recovered) for 15 developed countries. Our sample comprised countries with similar levels of medical care and with populations that have similar age distributions. Monte Carlo methods were used to robustly sample parameter uncertainty. We found a strong and statistically significant negative relationship between the proportion of the population who test positive and the implied true detection rate. Despite an overall improvement in detection rates as the pandemic has progressed, our estimates showed that, as at 31 August 2020, the true number of people to have been infected across our sample of 15 countries was 6.2 (95% CI: 4.3–10.9) times greater than the reported number of cases. In individual countries, the true number of cases exceeded the reported figure by factors that range from 2.6 (95% CI: 1.8–4.5) for South Korea to 17.5 (95% CI: 12.2–30.7) for Italy.</p>
Code and scripts used to generate results for: Designing transmissible viral vaccines for evolutionary robustness and maximum efficiency
<p>The danger posed by infectious agents necessitates the development of new tools to both predict and manage emerging diseases. One promising approach is the development of recombinant viral vaccines that are themselves infectious. Transmissible vaccines have been shown to greatly reduce the effort required to control the spread of zoonotic pathogens in their animal reservoirs, thereby limiting the chances of human infection. While this approach can be immensely useful in combating emerging diseases, the ability to self-replicate exposes vaccines to evolutionary change. As a recombinant transmissible vaccine mutates, selection is expected to favor variants with reduced efficacy against the pathogen and increased transmission rates. This creates a trade-off in vaccine design priorities between efficacy, reduction in transmission, and evolutionary stability. Here we ask how such trade-offs influence the overall performance of transmissible vaccines. We find that evolutionary instability can dramatically reduce performance, even for vaccine candidates with ideal efficacy and transmission dynamics. One method to increase functional stability is through the inclusion of multiple redundant antigens. We show that the inclusion of a second antigen can increase functional stability in the face of evolutionary pressures. However, the benefit of genetic redundancy plus any gain in efficacy must outweigh the reduction in transmission for dual-gene designs to be effective. Our results suggest that the successful application of recombinant transmissible vaccines will require consideration of evolutionary dynamics and epistatic effects, as well as basic measurements of epidemiological features.</p>
Raw data for manuscript "Simple and robust method for determination of laser fluence thresholds for material modifications: an extension of Liu's approach to imperfect beams"
<p>Raw data for section 4 ("Extension of Liu’s method for Gaussian beams truncated using circular apertures") and section 5 (" Experimental validation and practical relevance") of the manuscript : Simple and robust method for determination of laser fluence thresholds for material modifications: an extension of Liu’s approach to imperfect beams.</p> <p>Documents with names "PSFlab_raw..... .txt" and "ForLiu.... .dat" correspond to section 4. The other documents correspond to section 5.</p>
A Systematic Review on Software Robustness Assessment - Dataset
<p>Dataset supporting the paper entitled "A Systematic Review on Software Robustness Assessment".</p>
Image 9 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 9. Female Haploclastus validus at the entrance of
Image 7 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 7. Trapdoor burrow, depicting the structure and shape of the door and the entrance
Image 8 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 8. Female Haploclastus validus with an egg sac. Not collected
Image 6 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 6. Collection site at Matheran (Raighad District, Maharashtra)
Image 5 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 5. The northern Western Ghats of Maharashtra showing the known range of Haploclastus validus
Image 4 in Robust Trapdoor Tarantula Haploclastus validus Pocock, 1899: notes on taxonomy, distribution and natural history (Araneae: Theraphosidae: Thrigmopoeinae)
Image 4. Haploclastus validus female maxillae prolateral view. Not in scale
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.