Results 221 to 230 of about 243,524 (266)
Grain boundary triple junctions are an essential ingredient of the microstructure of polycrystalline materials. In this study, a triple junction is observed using atomic‐resolution scanning transmission electron microscopy and characterized. Computer simulations reveal that the junction has a dislocation character that is determined by the joining ...
Tobias Brink +4 more
wiley +1 more source
Expression of Uncertainty in Measurement. Uncertainty on Measurement of Laser Frequency.
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Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal +3 more
wiley +1 more source
Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero +12 more
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Uncertainty in Measurement. Review and History for the Expression of Uncertainty in Measurement.
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Journal of Chromatography A, 2007
Measurement uncertainty is a statistical parameter which describes the possible fluctuations of the result of a measurement. It is not a mere repeatability but it is at least as high as the intra-laboratory reproducibility. If it is an attribute of a general analytical test procedure it is at least as high as the inter-laboratory reproducibility ...
Veronika R Meyer
exaly +3 more sources
Measurement uncertainty is a statistical parameter which describes the possible fluctuations of the result of a measurement. It is not a mere repeatability but it is at least as high as the intra-laboratory reproducibility. If it is an attribute of a general analytical test procedure it is at least as high as the inter-laboratory reproducibility ...
Veronika R Meyer
exaly +3 more sources
2023
Over time, the metrological concept of uncertainty in measurement has been very successfully integrated into laboratory sciences. For proper implementation, an understanding of specific metrology terminology and additional concepts such as metrology traceability and commutability is necessary.
Neda, Milinković, Snežana, Jovičić
openaire +2 more sources
Over time, the metrological concept of uncertainty in measurement has been very successfully integrated into laboratory sciences. For proper implementation, an understanding of specific metrology terminology and additional concepts such as metrology traceability and commutability is necessary.
Neda, Milinković, Snežana, Jovičić
openaire +2 more sources
Annales de biologie clinique, 2010
The ISO 15189 standard requires the evaluation of measurement uncertainty where relevant and possible. This document presents recommendations for a simple evaluation of the uncertainty from data available in medical laboratory and illustrates the value of such a determination.
C, Giroud, J, Arnaud, A, Vassault
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The ISO 15189 standard requires the evaluation of measurement uncertainty where relevant and possible. This document presents recommendations for a simple evaluation of the uncertainty from data available in medical laboratory and illustrates the value of such a determination.
C, Giroud, J, Arnaud, A, Vassault
openaire +2 more sources
IEEE Transactions on Fuzzy Systems, 1994
First, this paper reviews several well known measures of fuzziness for discrete fuzzy sets. Then new multiplicative and additive classes are defined. We show that each class satisfies five well-known axioms for fuzziness measures, and demonstrate that several existing measures are relatives of these classes.
Nikhil R. Pal, James C. Bezdek
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First, this paper reviews several well known measures of fuzziness for discrete fuzzy sets. Then new multiplicative and additive classes are defined. We show that each class satisfies five well-known axioms for fuzziness measures, and demonstrate that several existing measures are relatives of these classes.
Nikhil R. Pal, James C. Bezdek
openaire +1 more source

