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Productivity Change with Threshold Analysis
2021This chapter introduces the concepts and procedures of conducting a productivity threshold analysis. A threshold analysis provides a wider view of the potential productivity portrayals that could be generated from a single set of data. The tutorial expands upon the case study of four universities from the previous chapter.
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Threshold level for theophylline in doping analysis
Journal of Chromatography B: Biomedical Sciences and Applications, 1996HPLC in the reversed-phase mode is used to assay methylxanthines including theobromine, paraxanthine, theophylline and caffeine in urine. The calibration graphs show good linearity in the concentration range 0-10 micrograms/ml. The limit for accurate quantitation of theophylline was 0.25 microgram/ml.
F T, Delbeke, P, De Backer
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Climatological analysis of snowfall thresholds
Archiv für Meteorologie, Geophysik und Bioklimatologie Serie B, 1957The climatological analysis for the first occurrence of 24-hour snowfalls of various depths is developed. This gives the probability function of snowfall thresholds which in turn makes any quantiles or probability values readily available. The probability function together with a special convention on years with no threshold value leads also to a ...
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Analysis of ?integrate-to-threshold? neural coding schemes
Biological Cybernetics, 1979Methods of analysis for some deterministic and stochastic variants of the integrate-to-threshold neural coding scheme are presented. Adaptation phenomena are modeled by means of feedforward and feedback adaptive threshold control. Simulations of sinusoidal and step responses reproduce satisfactorily the qualitative characteristics of adaptation as ...
Bruckstein, A. M., Zeevi, Y. Y.
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Dividing the threshold: Multi-probe localized EM analysis on threshold implementations
2018 IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2018Cryptographic implementations typically need to be secured to retain their secrets in the presence of attacks. As a countermeasure to prevent side-channel attacks, threshold implementations are a commonly encountered concept. They resemble a multi-party computation, where the value is split in independent shares and processed separately.
Robert Specht +4 more
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Analysis of a Classifier with Random Thresholds
Cybernetics and Systems Analysis, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fuzzy Thresholding and Histogram Analysis
2003This chapter provides a comprehensive discussion of several thresholding techniques that employ the concept of the measure of fuzziness. The basic concepts and ideas of the measures of fuzziness are introduced. A unified description of the fuzzy thresholding methods based on the measure of fuzziness is given.
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Spectral analysis of symmetric threshold functions
2004Summary: We study the Walsh representation of symmetric functions, with special attention given to the case of symmetric threshold (i.e., symmetric and monotone) functions. The goal is to look at the frequency domain to get a compact description for symmetric threshold functions in the Boolean and multivalued settings.
BERNASCONI, ANNA, B. CODENOTTI
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Using Threshold Analysis to Improve Medical Decisions
Hospital Practice, 1997Physicians can improve their medical decision making by considering the risk-benefit ratio, characteristics of a diagnostic test, and the probability of disease. Several threshold values of probability were defined. The treatment threshold is used when a diagnostic test is not being considered.
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Absolute threshold: analysis in terms of uncertainty
Journal of the Optical Society of America, 1981Uncertainty, the inability to know or to make use of information regarding the parameters of a luminance stimulus to be detected, is herein shown by simulation to (1) steepen the frequency-of-seeing curve and (2) cause psychophysical estimates of quantum efficiency to be too low.
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