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Modeling of Computational Fluid Dynamics and Experimental Study of Electro-Catalytic Oxidation Enhanced Nanofi ltration for Treating C.I.Acid Red 73 Wastewater
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作者 Li Xu weixin lu Wei Xu 《Transactions of Tianjin University》 EI CAS 2018年第2期123-130,共8页
C.I. Acid Red 73(AR73)wastewater was treated by cross-flow nanofiltration coupling electro-catalytic oxidation using an NF90 membrane and a Ti/SnO_2–Sb anode prepared via electrodeposition.Experiments conducted for s... C.I. Acid Red 73(AR73)wastewater was treated by cross-flow nanofiltration coupling electro-catalytic oxidation using an NF90 membrane and a Ti/SnO_2–Sb anode prepared via electrodeposition.Experiments conducted for standard electrochemical degradation of AR73 studied the reaction rate ofremoving AR73 using the Ti/SnO _2–Sb anode.A computational fluid dynamics(CFD)model was developed to predict the permeate flux under a laminar flow regime,including the effects ofoperating pressure,applied potential,initial concentration,and cross-flow velocity on this coupling process.The variations of the membrane surface concentration and permeate flux along the length of the channel were quantified.The experimental results were compared with those predicted by the model,and they agreed well. 展开更多
关键词 ELECTROCHEMISTRY CONCENTRATION POLARIZATION Nanofi ltration WASTEWATER treatment
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The Clinical Value of Artery Umbilical Cord Blood Gas in Predicting Neonate Condition:A Prospective Cohort Study
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作者 Xing Xin weixin lu +3 位作者 Chunhua Ye Hongyan Du Shaoshuai Wang Ling Feng 《Maternal-Fetal Medicine》 2021年第3期176-184,共9页
Objective:To evaluate the predictive ability of neonate condition through the traditional parameters and artery umbilical cord blood gas(aUCBG).Methods:A prospective cohort study was conducted in obstetrics and gyneco... Objective:To evaluate the predictive ability of neonate condition through the traditional parameters and artery umbilical cord blood gas(aUCBG).Methods:A prospective cohort study was conducted in obstetrics and gynecology department between October 2017 and August 2018 at Tongji Hospital in Wuhan,China,and 360 aUCBG samples were collected.The average age of pregnant women was(29.50±4.42)years,range from 19 to 48 years old.The gestational age range from 28+4 weeks to 41+3 weeks at admission.Logistic regression and area under the curve(AUC)from Receiver operating characteristic curves were used to identify risk factors,such as,premature rupture of membranes(PROM),high blood pressure,premature delivery(PD),low 1-minute Apgar scores(Apgar 1),low 5-minute Apgar scores(Apgar 5),pH,base excess,bicarbonate,neonatal blood sugar(NBS),and so on,to predict neonatal condition and evaluate the predictive ability of traditional and aUCBG parameters.Results:In all cases,PROM,PD,Apgar 1,Apgar 5,pH,base excess,bicarbonate,total carbon dioxide,and neonatal blood sugar were risk factors and were associated with poor condition of neonate.Apgar 1 were an independent risk factor.Combined traditional and aUCBG parameters had higher AUC of 0.895(95%confidence interval(C/):0.830-0.960,P<0.001).In cesarean section subgroup,high blood pressure,PD,and Apgar 1 were risk factors and were associated with poor condition of neonate.Apgar 1 and low pH were the independent risk factors.Combined traditional and aUCBG parameters had highest AUC of 0.940(95%C/:0.886-0.993,P<0.001).In vaginal delivery subgroup,maternal age above 35 years,PROM,PD,Apgar 1,Apgar 5,and male newborn were risk factors and were associated with poor condition of neonate.Maternal age above 35 years was an independent risk factor.Combined traditional and aUCBG parameters had highest AUC of 0.897(95%Cl:0.828-0.965,P<0.001).For pregnant women without comorbidities and complications of pregnancy,aUCBG may not be necessat7.Conclusion:In high-risk pregnancies,especially lower Apgar scores,PD,and maternal age above 35-year old,aUCBG is recommended.Traditional parameters combined with aUCBG might increase the predicting ability of neonate condition. 展开更多
关键词 Apgar score Artery umbilical cord blood gas(aUCBG) HIGH-RISK Neonate condition pH Predictive ability PREGNANCY Risk factor
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