CT value, Image noise, SNR and CNR.

<p>a) The body parts mean values.</p><p>b) Based on modified population marginal means after excluding the 2 cases with high calcification in the thigh and leg regions</p><p>CT value, Image noise, SNR and CNR.</p

Comparison of SNR and CNR measured at two contrast groups at different body parts with variable keV sets.

<p>Comparison of calculated and measured SNR in monochromatic images with A showing the differences between the two contrast groups at different keV sets, B representing the SNR values of keV sets with three body parts, C showing the comparison of calculated and measured CNR in monochromatic images for the two contrast groups, and D demonstrating the CNR values of three body parts at different keV sets. In the range of 55–65 keV, both of the two curves increase sharply with the gradual rise in keV. Between 65 and 75 keV, both curves of the contrast values decrease sharply with 65 keV resulting in the highest value. SNR: signal-to-noise ratio, CNR: contrast-to-noise ratio.</p

Modeling of an Opposed Multiburner Gasifier with a Reduced-Order Model

A reduced-order model (ROM) is considered a promising solution for engineering simulation of a gasifier. In this study, a ROM of a commercial-scale opposed multiburner gasifier is developed based on a reactor network model (RNM). The RNM blocking for this gasifier is established and validated based on analysis of the gasifier flow field. The particle flow in the gasifier is characterized by the particle residence time in each reactor of the RNM. The random pore model and the “effective factor” method are employed to model the char gasification rate under high pressure and temperature. The interphase heat transfer and heat loss through the refractory wall are calculated. In model validation, the simulation results show well agreement with the industrial data. The model provides distributions of the gas temperature and compositions in the gasifier. Effects of the particle size on the particle temperature and carbon conversion are discussed quantitatively. It is observed that fine particles can be completely converted in the jet zone, while the large ones (>100 μm) are converted mainly in the impinging zone and impinging flow zone

Comparison of CT attenuation and image noise measured at two contrast groups at different body parts with variable keV sets.

<p>A: Comparison of the measured CT values in the monochromatic images for the two contrast groups. B: comparison of the measured CT values of three body parts at different keV sets. C: image noise values in the monochromatic images for the two contrast groups. D: comparison of image noise of different body parts at different keV sets.</p

Quantitative and qualitative assessment of image quality at different body parts using routine and low contrast volumes.

<p>Quantitative and qualitative assessment of image quality at different body parts using routine and low contrast volumes.</p

Patient characteristics and contrast protocols.

<p>Conversion factor for peripheral CTA = 0.0056 mSv/mGy*cm</p><p>BMI, body mass index; DLP, dose length product</p><p>*** p<0.001, highly significant</p><p>Patient characteristics and contrast protocols.</p

La Petite presse : journal quotidien... / [rédacteur en chef : Balathier Bragelonne]

29 juillet 18791879/07/29 (A13,N4830)

Patient characteristics of study population.

<p>Patient characteristics of study population.</p

Relationship between two different chronic cardiovascular diseases and degrees of severity.

<p>Note: * Due to the presence of the desired frequency <5, the use of Fisher's exact test.</p

The relation between cIMT and CVRFs.

<p><b>A</b> shows the cIMT by the age. Box 1: age 40–50 years; Box 2: age 50–60 years; Box 3: age 60–70 years; Box 4: >70 years. <b>B</b> demonstrates the cIMT by the types of chronic disease. Box 1:hypertension; Box 2: dyslipidemia; Box 3: diabetes. <b>C</b> shows the cIMT by the number of chronic cardiovascular diseases. Box 0:without chronic cardiovascular disease; Box 1:1 type of chroinc cardiovascular disease; Box 2: 2 types of chronic cardiovascular diseases; Box 3:3 types of chronic cardiovascular diseases. <b>D</b> shows the cIMT by two different chronic cardiovascular diseases. Box 1: Combination of hypertension with diabetes; Box 2: combination of dyslipidemia with diabetes; Box 3: combination of hypertension with dyslipidemia.</p