Determination of velocity and angular displacement of bubbly flows by means of wire-mesh sensors and correlation analysis

2010 ◽  
Vol 21 (1) ◽  
pp. 48-53 ◽  
Author(s):  
Dietrich Hoppe ◽  
Alexander Grahn ◽  
Peter Schütz
2017 ◽  
pp. 9-15
Author(s):  
Xianling Dong ◽  
M.I. Saripan ◽  
R. Mahmud ◽  
S. Mashohor ◽  
Aihui Wang

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yingying Wang ◽  
Xuemei Ye ◽  
Qin Lan ◽  
Xiaofang Ke ◽  
Lufeng Hu ◽  
...  

Linezolid can cause serious haematological toxicity, such as thrombocytopenia and aneamia. Heme, composed of iron and porphyrin, is an important component of hemoglobin. In order to investigate the relationship between the concentration of linezolid and heme in the plasma of infected patients, a UPLC-MS/MS method that can determine the concentrations of linezolid and heme simultaneously was developed and validated. A total of 96 healthy subjects and 81 infected patients, who received blood routine blood tests, were included and determined by the UPLC-MS/MS method. The results showed that the concentration of linezolid was 5.08 ± 3.46   μ g / mL in infected patients who were treated with linezolid. The heme in healthy subjects was 7.05 ± 8.68   μ g / mL , and it was significantly decreased to 0.88 ± 0.79   μ g / mL in infected patients ( P < 0.01 ). Spearman correlation analysis showed that linezolid had a high negative correlation with platelet (PLT) ( R = − 0.309 ). Heme had a high positive correlation with hemoglobin (Hb) ( R = 0.249 ) in healthy subjects and infected patients. The ROC analysis showed that heme had diagnostic value to distinguish low Hb (110 g/L). In conclusion, there was a positive correlation between heme and Hb, and this correlation was also observed in infected patients. A high concentration of linezolid was inclined to decrease PLT. Monitoring of heme and linezolid helps in the early diagnose of low Hb and PLT.


2019 ◽  
Vol 880 (1) ◽  
pp. 41 ◽  
Author(s):  
Beili Ying ◽  
Alessandro Bemporad ◽  
Silvio Giordano ◽  
Paolo Pagano ◽  
Li Feng ◽  
...  

2019 ◽  
Vol 29 (3) ◽  
pp. 271-277 ◽  
Author(s):  
Sergio E Hernandez-Da Mota ◽  
Enrique A Roig Melo-Granados ◽  
Jans Fromow-Guerra ◽  
Francisco Bejar-Cornejo ◽  
Roberto Gallego-Pinazo ◽  
...  

Purpose: The aim of this study was to evaluate the correlations between fundus autofluorescence and morphologic parameters as well as visual function in patients with diabetic macular oedema treated with intravitreal ziv-aflibercept. Methods: A total of 34 eyes of 20 patients with untreated diabetic macular oedema received an intravitreal injection of ziv-aflibercept at baseline, and 1 and 2 months later. The baseline, 1-month, and two-month best corrected visual acuity determination, contrast sensitivity, spectral domain optical coherence tomography, mean central macular thickness, mean macular cube volume, mean macular cube average thickness, and fundus autofluorescence (decreased, normal, or increased; and single or multiple spots) were measured. Correlation analysis with a determination of Spearman’s rank correlation coefficient, regression analysis, agreement between investigators, and Friedman’s test were used for statistical analyses. Results: A direct correlation was observed between baseline fundus autofluorescence and macular cube average thickness at 1 month (r = 0.51, p = 0.020) and between fundus autofluorescence at 1 month and baseline macular cube average thickness (r = 0.50, p = 0.021). Regression analysis showed a coefficient of determination of 0.29 (p = 0.016) between baseline fundus autofluorescence and macular cube average thickness at 1 month. Conclusion: In patients with diabetic macular oedema, the pretreatment baseline degree of foveal fundus autofluorescence might be helpful in predicting macular cube average thickness in patients undergoing treatment with intravitreal ziv-aflibercept in the short term.


2019 ◽  
Vol 25 (S2) ◽  
pp. 1972-1973
Author(s):  
Xun Zhan ◽  
Renliang Yuan ◽  
Wenxiang Chen ◽  
Qian Chen ◽  
Jian-Min Zuo

Fuel ◽  
2018 ◽  
Vol 234 ◽  
pp. 894-903 ◽  
Author(s):  
Irene Sedlmayer ◽  
Mehrdad Arshadi ◽  
Walter Haslinger ◽  
Hermann Hofbauer ◽  
Ida Larsson ◽  
...  

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