1.Dechlorination by combined electrochemical reduction and oxidation.
Yan-qing CONG ; Zu-cheng WU ; Tian-en TAN
Journal of Zhejiang University. Science. B 2005;6(6):563-568
Chlorophenols are typical priority pollutants listed by USEPA (U.S. Environmental Protection Agency). The removal of chlorophenol could be carried out by a combination of electrochemical reduction and oxidation method. Results showed that it was feasible to degrade contaminants containing chlorine atoms by electrochemical reduction to form phenol, which was further degraded on the anode by electrochemical oxidation. Chlorophenol removal rate was more than 90% by the combined electrochemical reduction and oxidation at current of 6 mA and pH 6. The hydrogen atom is a powerful reducing agent that reductively dechlorinates chlorophenols. The instantaneous current efficiency was calculated and the results indicated that cathodic reduction was the main contributor to the degradation of chlorophenol.
Chlorine
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chemistry
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isolation & purification
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Chlorophenols
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chemistry
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isolation & purification
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Electrochemistry
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methods
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Industrial Waste
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prevention & control
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Oxidation-Reduction
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Water Pollutants
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isolation & purification
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Water Purification
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methods
2.33 cases of craniofacial clefts: experience in diagnosis and treatment with tessier classification.
Xin XING ; Tian-Xiang OUYANG ; Jian-Hong ZHOU ; Ming-Li ZHANG ; En-Tan GUO
Chinese Journal of Plastic Surgery 2006;22(4):262-265
OBJECTIVETo introduce our experience in diagnosis and treatment of 33 patients with Tessier craniofacial clefts.
METHODS33 patients with craniofacial clefts were classified by Tessier classification. According to the type and severity of the clefts, various techniques, from simple local flap transfer to complicated osteotomy and bone grafting were used to correct the deformity in 29 patients.
RESULTSAll patients who underwent corrective operation were satisfied with the result, and there were no complications.
CONCLUSIONS(1) Tessier classification is very important for plastic surgeon to find potential craniofacial deformities related to main signs. (2) No. 7 cleft is one of most common Tessier craniofacial clefts. (3) Each Tessier cleft is unique, therefore, the treatment plans cannot be standardized. Specific corrective operation must be performed on each patient according to the type and severity of the cleft, including simple local flap transfer to complicated osteotomy and bone grafting or distraction osteogenesis.
Craniofacial Abnormalities ; classification ; diagnosis ; surgery ; Humans
3.The role of releasing the fibrous bundles across levator muscle in correcting congenital blepharoptosis.
Tian-xiang OUYANG ; Xin XING ; Jun-hui LI ; Jun LIU ; Lan HAO ; Si-ming YUAN ; En-tan GUO
Chinese Journal of Plastic Surgery 2003;19(3):186-187
OBJECTIVETo investigate the role of releasing the fibrous bundles across the levator muscle between the medial canthus and lateral canthsus near the top of tarsus in the correction of the congenital blepharoptosis.
METHODSTwenty-seven patients with 40 eyes of blepharoptosis were undergoing the treatment. It was performed by releasing the fibrous bundles across the levator muscle between the medial canthus and lateral canthsus near the top of tarsus to correct the mild and moderate blepharoptosis. A further procedure can also be added to by folding the levator aponeurosis if necessary. In the severe blepharoptosis, the frontalis aponeurose flap may be applied for the suspension as well during the operation.
RESULTSOf the 40 eyes in 27 cases with mild, moderate and severe blepharoptosis were treated by using this method, with 38 eyes corrected satisfactorily and 2 eyes corrected mostly in the following-ups from 3 months to 1 year.
CONCLUSIONThe above mentioned technique may be a good, simple and effect method to corret congenital blepharoptosis.
Adolescent ; Blepharoplasty ; methods ; Blepharoptosis ; congenital ; surgery ; Child ; Eyelids ; surgery ; Facial Muscles ; Humans ; Oculomotor Muscles ; surgery ; Surgical Flaps
4.Study on the ARIMA model application to predict echinococcosis cases in China
En-Li TAN ; Zheng-Feng WANG ; Wen-Ce ZHOU ; Shi-Zhu LI ; Yan LU ; Lin AI ; Yu-Chun CAI ; Xue-Jiao TENG ; Shun-Xian ZHANG ; Zhi-Sheng DANG ; Chun-Li YANG ; Jia-Xu CHEN ; Wei HU ; Xiao-Nong ZHOU ; Li-Guang TIAN
Chinese Journal of Schistosomiasis Control 2018;30(1):47-53
Objective To predict the monthly reported echinococcosis cases in China with the autoregressive integrated mov-ing average(ARIMA)model,so as to provide a reference for prevention and control of echinococcosis. Methods SPSS 24.0 software was used to construct the ARIMA models based on the monthly reported echinococcosis cases of time series from 2007 to 2015 and 2007 to 2014,respectively,and the accuracies of the two ARIMA models were compared. Results The model based on the data of the monthly reported cases of echinococcosis in China from 2007 to 2015 was ARIMA(1,0,0)(1,1, 0)12,the relative error among reported cases and predicted cases was-13.97%,AR(1)=0.367(t=3.816,P<0.001),SAR (1)=-0.328(t=-3.361,P=0.001),and Ljung-Box Q=14.119(df=16,P=0.590).The model based on the data of the monthly reported cases of echinococcosis in China from 2007 to 2014 was ARIMA(1,0,0)(1,0,1)12,the relative error among reported cases and predicted cases was 0.56%,AR(1)=0.413(t=4.244,P<0.001),SAR(1)=0.809(t=9.584, P<0.001),SMA(1)=0.356(t=2.278,P=0.025),and Ljung-Box Q=18.924(df=15,P=0.217).Conclusions The different time series may have different ARIMA models as for the same infectious diseases.It is needed to be further verified that the more data are accumulated,the shorter time of predication is,and the smaller the average of the relative error is.The estab-lishment and prediction of an ARIMA model is a dynamic process that needs to be adjusted and optimized continuously accord-ing to the accumulated data,meantime,we should give full consideration to the intensity of the work related to infectious diseas-es reported(such as disease census and special investigation).
5.Prevalence of perceived weight-based stigmatisation in a multiethnic Asian population.
Koy Min CHUE ; Mang Yik FOO ; Cheryl Min En CHUA ; Bin Chet TOH ; Lester Wei Lin ONG ; Chin Hong LIM ; Jeremy Tian Hui TAN ; Marvin Wei Jie CHUA ; Wai Ching Deanna LEE ; Wai Keong WONG ; Baldwin Po Man YEUNG
Annals of the Academy of Medicine, Singapore 2022;51(9):583-585