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Experimental Verification of Numerical Calculations with the Use of Digital Image Correlation

., 2015, “Modeling subcomponent of demonstrator of tebuk project - Internal report (Modelowanie subkomponentu demonstratora TEBUK, Raport wewnętrzny),” 68/LK/2015/TEBUK, Institute of Aviation, Warsaw. [4] Chu, T. C., Ranson, W. F., and Sutton, M. A., 1985, “Applications of digital-image-correlation techniques to experimental mechanics,” ResearchGate, No. 25(3), pp. 232–244. [5] Lagattu, F., Brillaud, J., and Lafarie-Frenot, M.-C., 2004, “High strain gradient measurements by using digital image correlation technique,” Materials Characterization, No. 53(1), pp

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Determination of In-Plane Shear Properties of Laminate with V-Notch Rail Shear Test and Digital Image Correlation

REFERENCES [1] Kowalczyk P., “On applications of optical full-field strain measurements in validation and examination procedures”, Transactions of the Institute of Aviation, No. 4(245), 2016, 46-51, DOI: 10.5604/05096669.1226354 [2] Bajurko P., Dobrzański P., 2018, “Experimental verification of numerical calculations with the use of digital image correlation”, Transactions of the Institute of Aviation, No. 2(251), 7-21 [3] F. Lagattu. J. Brillaud, M.-C. Lafarie-Frenot, “High strain gradient measurements by using digital image correlation

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Strain Optical Analysis of 3D Printing Elements in Different Additive Technologies in Comparison with the Finite Element Method

BIBLIOGRAPHY [1] Kluska E., Gruda P. The accuracy and the printing resolution comparison of different 3D printing technologies . Warsaw: Institute of Aviation, 2017. [2] MESOCOS. DIC Measurements in Engineering Applications. [Online] http://image-correlation.com/assets/files/MESOCOS-DIC.pdf . [3] Chu T.C., Ranson W.F., Sutton M.A, Peters W.H. Application of digital-image-correlation techniques to experimental mechanics. Experimental Mechanics . 1985, 25(3), 232-244. [4] Lutowski Z., Marciniak B., Marciniak T., Bujnowski S. Precision of

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Impact of g-Load Shift on Temporal Expression Pattern of Apoptosis-linked Proteins in the Rat Mammary Gland

functionally differentiates during the key postnatal stages of pregnancy and lactation in mammals. The Caspase family of cysteine proteases plays a crucial role in the downstream signaling and execution of the cell death pathway ( Barman et al., 2018 ; Zimmermann et al., 2001 ). Among the Caspases, CC-3 is regarded as the primary mediator of the apoptotic machinery ( Barman et al., 2018 ; Zimmermann et al., 2001 ). Moreover, there is a strong correlation between CC-3 immunostaining intensity and cellular apoptosis ( Arai et al., 2005 ; Bressenot et al., 2009 ). In

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Challenges of ERAU’s First Suborbital Flight Aboard Blue Origin’s New Shepard M7 for the Cell Research Experiment In Microgravity (CRExIM)

of the West Texas Launch Site (Google Maps). Figure 11 Velocity (east) during the microgravity phase of the New Shepard’s crew capsule. The equation in Figure 11 could be utilized to predict the east velocity at any time during this phase of approximately 3.2 min. The blue line represents the data points, and the red dashed line represents the polynomial fit with a correlation factor of 0.999. The velocity (vertical) in feet per second during the microgravity phase can be approximated by a linear fit between 144 s and 344 s: V vert = –(31

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Correlation of domination parameters with physicochemical properties of octane isomers

2 113.5 295.0 27.60 102.39 0.7191 1.3698 217.3 37.75 2233MMMM 2 2 2 106.5 270.8 24.50 93.06 0.8242 1.4612 225.6 42.90 Next, we obtain a cross-correlation matrix of domination parameters, which is shown in Table 2 . Table 2 Cross correlation matrix of domination parameters.   γ c γ t γ t ′ $\begin{array}{} \displaystyle \gamma _t^\prime \end{array}$ γ c 1.000     γ t 0.926 1.000   γ t ′ $\begin{array}{} \displaystyle \gamma _t^\prime \end{array}$ 0

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Correlations between Main Tobacco Components and Smoke Condensate Yields / Beziehungen zwischen den Hauptbestandteilen des Cigarettentabaks und den Rauchkondensaten

Abstract

Cigarettes with similar parameters were made from various tobaccos of definite types and sources. These were chemically defined according to nicotine, total reducing substances, soluble carbohydrates, polyphenols, total nitrogen, protein nitrogen, total ash, ethanol extractible substances, resins, ''wax'', and raw fiber. The smoke condensate was also determined. The following results were obtained from 17 different kinds of tobacco:

1. A positive correlation between the resin content in the leaf and smoke condensate yield. Calculations gave a coefficient of correlation (r) of 0.69 (statistical significant (99 %)).

2.The same positive correlation, with a coefficient of correlation of 0.63 (statistical significant (99 %)), was found in relation to the nicotine content of the leaf.

3. Other substances determined in the leaf do not seem to be tied to smoke condensate yield.

4. The same conclusions are valid when the smoke yield is measured in tars soluble in chloroform

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Simple Correlation and Multiple Regression among Leaf and Smoke Characteristics of Burley Tobaccos

Abstract

Leaves from 8 stalk positions from four Burley tobaccos, the cultivars Burley 21, Ky 14 and Ky 12 and one breeding line of low-alkaloid Burley 21 (LA Burley 21), were tested in this study. A total of 116 variables, including leaf and smoke characteristics, were determined by collaborating scientists using established methods. Simple correlations and multiple regressions among selected variables were determined to examine the relationship among these variables. Generally, Burley tobaccos do not differ from bright tobaccos, in that the nitrogenous fractions and combustibility appear to be the major factors affecting nicotine and dry TPM (total particulate matter) delivery as well as other major smoke constituents. Stalk position and varieties also demonstrated significant differences in nicotine and dry TPM delivery. Benzo[a]pyrene content, however, did not show significant differences among these experimental Burley tobaccos or stalk positions.

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Chemical Studies on Tobacco Smoke: XXI: Correlation and Multiple Regression among Selected Cigarette-Smoke Constituents and Leaf Characteristics of Bright Tobacco

Abstract

Simple correlation and multiple regressions among 160 variables of leaf characteristics and smoke constituents were calculated, based on experimental cigarettes made from 4 cultivars of bright-type tobacco, each from 8 stalk positions. Smoke composition is a function of the botanical, physical, and chemical properties of leaf tobacco used to make the cigarette. Detailed simple correlation data, multiple-regression equations, and expressions of variety and stalk position as factors of TPM and BaP formation are presented.

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Intrachromosomal regulation decay in breast cancer

. Since the concept of physical chromosomal distance is only reasonable in the context of genes within the same chromosome, we will, from now on, consider chromosome-wise GRPs G k [ I ( i, j )]; here, k ( {1, 2 ,..., 22, x, y} is an ind ex working as the chromosome label. By analyzing G k [ I ( i, j )], it is possible to develop a deeper understanding of the way correlation structure relates to functional features. For instance, in a previous work [ 6 ], we have observed the phenomenon of decay of long-range correlations. The visual inspection of the mutual

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