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Cultivar Development. Vol. 1. Theory and Technique 1987 Frane, J. 1977. Canonical correlation analysis. P. 685–696. In W

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The GPS-derived TEC has proved to be a robust characteristic representing well the state of the Earth's ionosphere-plasmasphere system during both quiet and disturbed geomagnetic conditions. Successfully forecasting the TEC value can prove invaluable when trying to improve the communications, navigation, and surveying practices. Presented is a new forecasting method based on  auto-correlation analysis and consisting of two major parts - first, extrapolation of the TEC monthly medians using Fourier series approximation, and second, geomagnetically-correlated forecast of the TEC relative deviations of from its median value. Preliminary tests show a good agreement between measured and predicted median values. Presented are also important investigations related to the short-term forecast.

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Isotopic correlation analysis is believed to make possible quick and accurate determinations of nuclear fuel parameters for reactor operation, reprocessing, fuel management and nuclear safeguards. Correlation dependencies have been found between ratios of fission products on the one hand and isotope ratios of the heavy elements on the other hand. The use of the154Eu/155Eu ratio in correlation analysis was proposed by SMULEK. The scope of useful applications of this isotopic ratio has been further investigated. A quick and time-saving method to measure the154Eu/155Eu ratio has been elaborated. The atomic ratios have been found by internal calibration using the computer programme ABSINT. Beside this the atomic ratios of154Eu/155Eu as a function of nuclear fuel burn-up have been calculated using the computer programme ISOTOP. The correlation between the154Eu/155Eu ratio and nuclear fuel burn-up is best approximated by a quadratic function. Up to a burn-up of 1% fima a linear function can be used.

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Four cases of citation histories of highly cited related papers from the field of chemical correlation analysis indicate that authors have been citing preferably fashionable, but less relevant references.

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correlation calculation. Correlation analysis could be used in data mining of cone calorimeter data to derive more useful information on studying of fire behaviour of materials. The research was supported by the Natural Science Fund of

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To investigate the nutritional characteristics of purple wheat, 41 kinds of nutrients were measured in seven purple wheat lines using one white wheat variety as control sample. Correlation analysis of nutrient contents was performed. Results show that the amounts of 40 kinds of nutrients in the purple wheat lines are higher than those of the control. For example, the amounts of sodium (Na) and manganese (Mn) in purple wheat are higher than the standards by 311.77–2017.65% and 548.15–733.33%, respectively; the contents of β + γ-vitamin E is higher than the standards by 300%; and zinc (Zn), iron (Fe), magnesium (Mg), and potassium (K) are all higher than the control by 100%. Therefore, the purple wheat has obvious advantages in terms of the nutrient contents. Correlation analysis studies show that protein has significant positive correlations with Glu, Mo, Pro, Fe, Tyr and Ile. Anthocyanin has significant positive correlations with Mo and Glu, and significant negative correlations with free Trp and Ca. Carotenoid has significant positive correlations with His, Lys, Val, Leu, Arg, Gly and I, and significant negative correlations with Ca. This paper is a first report on comprehensive nutrients of several purple wheat lines. Our results suggest that purple wheat is rich in nutrients and there are many significant correlations among different nutrients. The valuable information is very useful in biofortification breeding and functional food development.

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Golob, T., F. 1986: A Nonlinear Canonical Correlation Analysis of Weekly Trip Chaining Behaviour. Trasportation Research , 20A:5: 385–399. Golob T. F. A Nonlinear Canonical Correlation Analysis of Weekly Trip Chaining

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The quality of wheat-hemp composites prepared with different amounts of hemp flour (5, 10, 15 and 20%) was characterised by the mixolab rheological test. The present study is related to three defatted hemp flour types addition, K1 and K2 gained from seeds bred conventionally, and K3 in bio-planting regime. Wheat flour of good baking quality was provided by a Czech commercial mill. Besides the mixolab profiles, basic baking quality parameters were also determined. By analytical methods, protein content, Zeleny’s value and Falling Number were determined. Dough baking quality was tested with the help of three rheological apparatuses, namely farinograph, extensigraph and amylograph. Moreover, laboratory baking test was performed, and specific bread volume was calculated. Mixolab torque data was strongly affected by substitution level than hemp flour type. The most precise distinguishing of samples was observed during the mixing and starch retrogradation phases of the test. Correlation analysis confirmed proper relationships between mixolab and rheological parameters related both to protein properties (C1, C2, C1–C2 vs. farinograph and extensigraph ones) and starch or starch gel properties (C3, C4, C5 vs. amylograph ones). In the former case, the strongest relationship was found between C1 and the dough development time (−0.80, p < 99%), while in the latter between the amylase activity estimation (C3–C4) and the amylograph viscosity maximum (−0.87, p < 99%). Bread specific volume could be predicted by all five basic mixolab C’s. The best fitting correlation was found for C3 readings (starch gelatinization rate, r = 0.87, p < 99%), while links of C1 or C2 (maximum torque as gluten strength and protein weakening) were softer (r = 0.73 and 0.70, respectively, p < 99%).

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The Vértes Hills are interesting region in Hungary where small earthquakes with magnitude 2–3 exist among small quarry blasts in a noisy background. A seismological station PKSG (Gánt) works in the middle of Vértes Hills. The main purpose of this paper is to test the different discriminatory elements using the registrations of this single station.The diurnal discrimination of quarry blasts shows a peak time. My purpose is to focus onto these questionable earthquakes — happened in the peak time of the blasts — and be able to identify them.Every discriminant gave “1” if the event was considered to be a blast, and “0” if the event was considered to be an earthquake. The sum of these values shows the level of the separation. The classification of fifteen events was wrong. This is approximately 7 percentage of the dataset.It has been found that the spectral analysis and the correlation of spectra proved to be successful in the discrimination. One type of blast and five types of earthquakes are identified based on the correlation analysis of spectra of S-phases on the horizontal component. The result of the correlation analysis is that most of the spectrum of the blasts were very similar to each others. Correlation analysis has also showed that the big part of earthquakes could be classified into 5 groups. Earthquakes of each group concentrated on different places on the map. The maximum frequency and cepstrum analysis failed.

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A sensitive technique is proposed for activation analysis using cross-correlation and improved spectral orthogonality achieved through use of a rectangular zero area digital filter.

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