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14 results for “call rate”
A trace of microservice time, call rate, and number of replicas
<p>This is part of the runtime traces of the Alibaba Cloud clusters, which record rows of different microservice times, call rates, and number replicas over a 30-second interval.<br><br>In this dataset, starting from zero, the fifth and sixth columns show the microservice time and call rates (with the microservice ID in column 2 and the container ID in column 3).<br>Moreover, column 4 contains the number of replicas from the microservice, denoted in column 2.</p> <p>Alibaba's original microservice trace has 24 parts, from which we extracted ten and filtered based on message queue and similarity in microservice and container IDs.<br><br>Please consider that the first two columns are timestamps.</p>
Comparison of Full-Field Digital Mammography With Digital Breast Tomography for Screening Call-Back Rates
ClinicalTrials.gov study NCT01236781. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Call rate and types of calls produced vary with flock movements in wild Pine Siskins (<em>Spinus pinus</em>)
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Summer circumpolar acoustic occurrence and call rates of Ross (Ommatophoca rossii) and leopard (Hydrurga leptonyx) seals in the Southern Ocean
<p>Two of the Antarctic pack ice seals, Ross, Ommatophoca rossii, and leopard, Hydrurga leptonyx, seals, are extremely dificult to study via traditional visual survey techniques, yet are ideal for an acoustic survey as they are highly vociferous and produce an array of underwater sounds during the austral summer. To determine their acoustic occurrence in the Antarctic pack ice, we use their calls, detected within 680 acoustic recordings made between 1999 and 2009 as part of two multinational programmes. Siren calls of Ross seals were detected mainly in January, and 9.88 calls per minute from low siren calls was the highest call rate for this species. High numbers of Ross seal calls were detected close to the ice edge in areas between 0° and 20° E and 60° and 130° E, suggesting these are important summer habitats. Leopard seal calls were detected mainly in December and January, and December had the highest percentage of calls. Call rate of 11.93 calls per minute from low double trills was the highest call rate for leopard seals. Leopard seal calls were detected throughout the Southern Ocean with more calls detected throughout the pack ice. There was little spatio-temporal overlap in call occurrence of Ross and leopard seals, but both species were more vocally active during the day. Longitude and latitude were the most important predictors of Ross seal occurrence, and month of the year highly predicted leopard seal occurrence. This is the irst study to examine the circumpolar acoustic occurrence of Ross and leopard seals in the Southern Ocean pack ice.</p>
Data from: Attack of the PCR clones: rates of clonality have little effect on RAD-seq genotype calls
Interpretation of high-throughput sequence data requires an understanding of how decisions made during bioinformatic data processing can influence results. One source of bias that is often cited is PCR clones (or PCR duplicates). PCR clones are common in restriction site associated sequencing (RAD-seq) datasets, which are increasingly being used for molecular ecology. To determine the influence PCR clones and the bioinformatic handling of clones have on genotyping, we evaluate four RAD-seq datasets. Datasets were compared before and after clones were removed to estimate the number of clones present in RAD-seq data, quantify how often the presence of clones in a dataset cause genotype calls to change compared to when clones were removed, investigate the mechanisms that lead to genotype call changes, and test if clones bias heterozygosity estimates. Our RAD-seq datasets contained 30 – 60% PCR clones, but 95% of RAD-tags had five or fewer clones. Relatively few genotypes changed once clones were removed (5-10%), and the vast majority of these changes (98%) were associated with genotypes switching from a called to no-call state or vice versa. PCR clones had a larger influence on genotype calls in individuals with low read depth but appeared to influence genotype calls at all loci similarly. Removal of PCR clones reduced the number of called genotypes by 2% but had almost no influence on estimates of heterozygosity. As such, while steps should be taken to limit PCR clones during library preparation, PCR clones are likely not a substantial source of bias for most RAD-seq studies.
Data from: Attack of the PCR clones: rates of clonality have little effect on RAD-seq genotype calls
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Summer circumpolar acoustic occurrence and call rates of Ross (Ommatophoca rossii) and leopard (Hydrurga leptonyx) seals in the Southern Ocean
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Data from: A call for more transparent reporting of error rates: the quality of AFLP data in ecological and evolutionary research
Despite much discussion of the importance of quantifying and reporting genotyping error in molecular studies, it is still not standard practice in the literature. This is particularly a concern for amplified fragment length polymorphism (AFLP) studies, where differences in laboratory, peak-calling and locus-selection protocols can generate data sets varying widely in genotyping error rate, the number of loci used and potentially estimates of genetic diversity or differentiation. In our experience, papers rarely provide adequate information on AFLP reproducibility, making meaningful comparisons among studies difficult. To quantify the extent of this problem, we reviewed the current molecular ecology literature (470 recent AFLP articles) to determine the proportion of studies that report an error rate and follow established guidelines for assessing error. Fifty-four per cent of recent articles do not report any assessment of data set reproducibility. Of those studies that do claim to have assessed reproducibility, the majority (~90%) either do not report a specific error rate or do not provide sufficient details to allow the reader to judge whether error was assessed correctly. Even of the papers that do report an error rate and provide details, many (≥23%) do not follow recommended standards for quantifying error. These issues also exist for other marker types such as microsatellites, and next-generation sequencing techniques, particularly those which use restriction enzymes for fragment generation. Therefore, we urge all researchers conducting genotyping studies to estimate and more transparently report genotyping error using existing guidelines and encourage journals to enforce stricter standards for the publication of genotyping studies.
Data from: A call for more transparent reporting of error rates: the quality of AFLP data in ecological and evolutionary research
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Testing the Efficacy of a Post-discharge Call Program on the Rate of Readmission
ClinicalTrials.gov study NCT03683797. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Relationship Among Electroencephalography,Skin Conductance Response,Heart Rate Variability and Mental Health Among Smartphone Users After Receiving Texting or Calling
ClinicalTrials.gov study NCT04133597. IPD Sharing: NO. Countries: 1. Publications: 0.
Case Collection Study to Determine the Accuracy, Call Back and Cancer Detection Rates of QT Ultrasound in Breast Imaging
ClinicalTrials.gov study NCT03052166. IPD Sharing: NO. Countries: 1. Publications: 0.
A hybrid single cell demultiplexing strategy that increases both cell recovery rate and calling accuracy
GEO Series GSE230810. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Heads up Messages to Increase Call Pick-up Rates
ClinicalTrials.gov study NCT05821608. IPD Sharing: NO. Countries: 0. Publications: 0.
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