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Aim: Limited data have been available regarding critical congenital heart disease (CHD) screening in neonatal intensive care unit (NICUs). This study evaluated the feasibility of screening for CHD by adding pulse oximetry (POX) to clinical evaluation in a NICU in Shanghai, China.Methods: We screened 4128 eligible consecutive NICU admissions using POX plus clinical evaluation. Infants with positive screening results were then evaluated with echocardiography. Those with negative screening results were put under observation, and they also underwent echocardiography if their oxygen saturation fell below 95% on room air during hospitalisation.Results: This enhanced procedure detected 19 critical CHD cases, and seven of these diagnoses would have been delayed if POX had not been incorporated into the screening strategy. This means that the addition of POX increased the detection rate of critical CHD from 63.2 to 100%. The false-positive rate of critical CHD screening using POX plus clinical evaluation was higher in NICU patients with high morbidity rates.Conclusion: When pulse oximetry screening was added to clinical evaluation, it increased the number of critical CHD cases that were detected in our NICU. This method could provide a useful screening protocol for critical CHD cases. [ABSTRACT FROM AUTHOR]

A planar cyclone is designed for visualizing bubbles in the cross‐section of a degassing hydrocyclone. The pressure distribution is studied through a series of experiments and Reynolds stress model simulations. The velocity distribution of the planar cyclone mostly exhibits the quasi‐forced vortex zone and boundary layer zone. The bubble dynamics are simulated using both Euler‐Euler and Euler‐Lagrange approaches, and the output is compared with the imaging results. The Euler‐Euler simulation provides more accurate predictions of the bubble trajectory. The histograms of residence time and traveling distance given by the Euler‐Lagrange approach exhibit a reasonably regular pattern. With higher values of the inlet Reynolds number, stronger forces acting on the bubbles lead to a decreased but more uniform residence time. © 2018 American Institute of Chemical Engineers AIChE J, 64: 2689–2701, 2018 [ABSTRACT FROM AUTHOR]

This paper analyses the carbon dioxide emissions caused by industrial energy consumption of Tianjin from 2005 to 2012. The carbon emissions decomposition illustrated that the scale of production factor played a major role in the growth of Tianjin industrial carbon emissions and the average contribution of carbon emissions is up to 220.8975% in the statistical period; the intensity of energy factor played an important role in slowing down the growth of industrial carbon dioxide emissions. The average contribution of carbon emissions was −136.1994% in the statistical period. The prediction model based on carbon emissions data from industrial energy consumption from 2003 to 2012 reached a high accuracy, with an average error of 1.78% for stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, 2.41% for the Logistic regression model and an average error of 1.54% for the grey model. This research can contribute to predict the carbon emission and through it some suggestions can be made. [ABSTRACT FROM AUTHOR]