In situations where the cost/benefit analysis of using physics-based damage propagation algorithms is not favorable and when sufficient test data are available that map out the damage space, one can employ data-driven approaches. In this investigation, we evaluate different algorithms for their suitability in those circumstances. We are interested in assessing the trade-off that arises from the ability to support uncertainty management, and the accuracy of the predictions. We compare here a Relevance Vector Machine (RVM), Gaussian Process Regression (GPR), and a Neural Network-based approach and employ them on relatively sparse training sets with very high noise content. Results show that while all methods can provide remaining life estimates although different damage estimates of the data (diagnostic output) changes the outcome considerably. In addition, we found that there is a need for performance metrics that provide a comprehensive and objective assessment of prognostics algorithm performance.

An international comparison of productivity across the G7 nations, in terms of the level of and growth in GDP per hour and GDP per worker. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: ICP

The Product Comparison dataset for online shopping is a new, manually annotated dataset with about 15K human generated sentences, which compare related products based on one or more of their attributes (the first such data we know of for product comparison). It covers ∼8K product sets, their selected attributes, and comparison texts.

Data underlying comparisons of UK productivity against that of the remaining G7 countries.

This online application gives manufacturers the ability to compare Iowa to other states on a number of different topics including: business climate, education, operating costs, quality of life and workforce.

The size and share of the market is categorized based on Application (Database Administrators, Data Engineers, Software Developers) and Product (Schema comparison, Data comparison, Synchronization tools) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

The top table shows the average classifier performance for cross-validation on the 9-locus public STR data. The bottom table is the performance for the same test, but on a 9-locus subset of our ground-truth training data. While overall performance is lower than the 15-locus cross-validation test on our ground-truth data (Table 1), the two data sets perform similarly here, indicating that increasing the number of markers in the data set can significantly improve performance.

Comparing the UK with OECD countries or the European Union across main areas of well-being, 2019. Where available using directly comparable or proxy measure data.

INFLUENCE LEADS Comparison pages are our most popular pages, with 80% of our audience visiting a comparison page in their IT Central Station journey.

AWARENESS Be a part of every competitive search in your category and reach prospects who weren’t considering your solution.

EXCLUSIVITY Sponsored Comparisons are available to only one vendor per category at any given time. This gives you exclusive visibility for all comparisons in your category. Visibility provided to show which vendors your product page was exposed to. The sponsored comparison feature works has an enhanced benefit when running alongside a lead generation program.

Graphic and statistic comparisons of the monthly precipitations (Ppt), as well as maximum and minimum temperatures (*T*max and *T*min, respectively) provided by the meteorological weather system managed by the Brazilian National Institute of Meteorology (INMET) relative to the information provided by several bioclimatic databases currently available.

State comparisons data for population,age, race, Hispanic Origin, and housing information for all states. Data include a national ranking.

The Akaike Information Criterion (AIC) provides a means for ranking models based on the number of parameters used to fit the data (r) and the residual error (Merror2), [26]. AIC = nlog(error) +2(r +2), where n is the number of data points and r is the number of free parameters. Error = Merror2(n−r−1)/n.

When comparing Europe to the United States and South Korea, Europeans on average use less fixed and mobile data than their counterparts. In the United States, each citizen uses on average 7.3 and 93.8 gigabytes per month on mobile and fixed data, respectively; and South Koreans on average use roughly 9.8 and 108.6 gigabytes per month on mobile and fixed data, respectively. This is compared to the low average usage of 6.5 mobile and 63.5 fixed gigabytes per month throughout Europe. Japan is the only selected country with a lower data usage per capita for fixed networks than Europe, with approximately 45.7 gigabytes per month.

Textual data gained relevance as a novel source of information for applied economic research. When considering longer periods or international comparisons, often different text corpora have to be used and combined for the analysis. A methods pipeline is presented for identifying topics in different corpora, matching these topics across corpora and comparing the resulting time series of topic importance. The relative importance of topics over time in a text corpus is used as an additional indicator in econometric models and for forecasting as well as for identifying changing foci of economic studies. The methods pipeline is illustrated using scientific publications from Poland and Germany in English and German for the period 1984 to 2020. As methodological contributions, a novel tool for data based model selection, sBIC, is impelemented, and approaches for mapping of topics of different corpora (including different languages) are presented.

The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The Comparison Profiles include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. Comparison Profiles contain broad social, economic, housing, and demographic information. The data are presented as both counts and percentages. There are over 2,400 variables in this dataset.

Discharge through 13 water control structures in Florida was calculated using theoretical equations and coefficients and compared to USGS-published discharge from October 1, 2007 to September 30, 2019. The two daily mean discharges were not compared for any values below 10 cubic feet per second or if (1) any alterations were made to the published discharge to account for factors such as debris or construction; (2) any values were missing throughout the day; (3) the flow regime changed during the day; or (4) the published discharge was estimated. The structures compared include a mixture of sluice and radial gates with free and submerged conditions for orifice and weir flow. The theoretical discharges, published discharges, and percent differences are included in this data release.

The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. Much of the ACS data provided on the Census Bureau's Web site are available separately by age group, race, Hispanic origin, and sex. Summary files, Subject tables, Data profiles, and Comparison profiles are available for the nation, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 65,000 or more. Comparison profiles are similar to data profiles but also include comparisons with past-year data. The current year data are compared with each of the last four years of data and include statistical significance testing. There are over 1,000 variables in this dataset.

This study sets out to establish the suitability of saliva-based whole-genome sequencing (WGS) through a comparison against blood-based WGS. To fully appraise the observed differences, we developed a novel technique of pseudo-replication. We also investigated the potential of characterizing individual salivary microbiomes from non-human DNA fragments found in saliva. We observed that the majority of discordant genotype calls between blood and saliva fell into known regions of the human genome that are typically sequenced with low confidence; and could be identified by quality control measures. Pseudo-replication demonstrated that the levels of discordance between blood- and saliva-derived WGS data were entirely similar to what one would expect between technical replicates if an individual's blood or saliva had been sequenced twice. Finally, we successfully sequenced salivary microbiomes in parallel to human genomes as demonstrated by a comparison against the Human Microbiome Project. A synthetic data set has been generated that allows the replication of our principal results but without a full disclosure of individual level sequencing data. Read counts and relative abundances for the microbiome profiling analyses are similarly available.

Humans modulate their self-evaluations and behaviour as a function of conspecific presence and performance. In this study we tested for the presence of human-like social comparison effects in long-tailed macaques (Macaca fascicularis). The monkeys' task was to extract food from an apparatus by pulling drawers within reach and we measured latency between drawer-pulls. Subjects either worked on the task with a partner who could access the apparatus from an adjacent cage, worked in the absence of a conspecific but with food moving towards the partner's side or worked next to a partner who was denied apparatus access. We further manipulated partner performance and competitiveness of the setup. We found no indication that long-tailed macaques compare their performance to the performance of conspecifics. They were not affected by the mere presence of the partner but they paid close attention to the partner's actions when they were consequential for food availability. If social comparison processes are present in long-tailed macaques, the present study suggests they may only manifest in situations involving direct competition and would thus be different from social comparisons in humans, which manifest also in the absence of direct competition, for example in evaluative contexts.