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8篇 您的检索式:作者名="C.Liang"
    题名 作者 年代 出处 被引量
1Onergodicsumcapacityoffadingcognitivemultiple-accessandbroadcast channels显示文摘R.Zhang S.Cui Y .-C.Liang 0,,11:1
2Bulk Photovoltaic Effect at Visible Wavelength in Epitaxial Ferroelectric BiFeO<sub>3</sub> Thin Films显示文摘WeiJi KuiYao Yung C.Liang 2010Adv Mater2010,,15:1
3查看详情显示文摘B.Chen C.Liang J.Yang D.S.Contreras Y.L.Clancy E.B.Lobkovsky O.M.Yaghi and S.Dai 0,,09:1
4查看详情显示文摘B.Chen C.Liang J.Yang D.S.Contreras Y.L.Clancy E.B.Lobkovsky O.M.Yaghi and S.Dai 0,,09:1
5Serotonin transporter gene promoter region polymorphisms and serotonin transporter expression in the colonic mucosa of irritable bowel syndrome patients显示文摘Y. M.Wang Y.Chang Y. Y.Chang J.Cheng J.Li T.Wang Q. Y.Zhang D. C.Liang B.Sun B. M.Wang 2012Neurogastroenterology & Motility2012,,6:1
6Chemical-Template Synthesis of Micro/Nanoscale Magnesium Silicate Hollow Spheres for Waste-Water Treatment显示文摘Y.Wang G.Wang H.Wang C.Liang W.Cai and L.Zhang 0,,:1
7Treatment of spent wash water derived from shredded lettuce processing using a combination of electrocoagulation and germicidal ultraviolet light显示文摘Objective:Water recycling is a significant part of an overall water management system.The current study evaluated electrocoagulation,used in combination with ultraviolet light(at 254 nm),to reduce the organic content and enhance the microbiological quality,of wash water derived from shredded lettuce processing.Method:The composition of spent wash water derived from a commercial lettuce processing operation was used to prepare a simulated solution to be applied to validate the water recycling system.The simulated spent wash water was subjected to an electrocoagulation process followed by filtration and a tertiary ultraviolet(254 nm)treatment.The efficacy of the recycling treatment to decrease turbidity(nephelometric turbidity units,biological oxygen demand(BOD),chemical oxygen demand(COD)and decrease in introduced bacterial numbers.Results:Spent wash water sampled from a commercial processing line was found to be colloidal in nature(78±26 NTU)with low total solids content(544±87 mg/L),BOD(230±53 mg/L)and COD(309±53 mg/L).An electrocogaultion process performed for 10 min using 3.48 A/m2 current density at pH 6.5 and conductivity of>100μS/cm supported an 87%removal of turbidity,38%reduction in BOD along with 49%decrease in COD.The electrocoagulation process was also found to reduce the levels of Escherichia coli,Salmonella and Listeria monocytogenes by 1-2 log cfu.The tertiary UV treatment of water derived from the electro coagulation process,supported further reduction in model pathogens,although it was noted that the D values for inactivation were in the order of 1.01-1.60 mJ/cm^(2),which compares to 0.22-0.31 mJ/cm^(2) in saline.The apparent increase in bacterial resistance to ultraviolet was likely due to the UV absorbing low molecular weight constituents within wash water that provided protection against inactivation.Conclusion:In conclusion,the study demonstrated the feasibility of applying electrocoagulation and UV to rapidly treat spent lettuce wash water to facilitate in-process recycling within shredded lettuce processing operations.K.Khalid D Alharbi V.Lau C.Liang R.G.Zytner J.Shi K.Warriner 2017Food Quality and Safety2017,1,2:0
8Electrohydrodynamic printing process monitoring by microscopic image identification显示文摘Electrohydrodynamic printing(EHDP)is able to precisely manipulate the position,size,and morphology of micro-/nano-fibers and fabricate high-resolution scaffolds using viscous biopolymer solutions.However,less attention has been paid to the influence of EHDP jet characteristics and key process parameters on deposited fiber patterns.To ensure the printing quality,it is very necessary to establish the relationship between the cone shapes and the stability of scaffold fabrication process.In this work,we used a digital microscopic imaging technique to monitor EHDP cones during printing,with subsequent image processing algorithms to extract related features,and a recognition algorithm to determine the suitability of Taylor cones for EHDP scaffold fabrication.Based on the experimental data,it has been concluded that the images of EHDP cone modes and the extracted features(centroid,jet diameter)are affected by their process parameters such as nozzle-substrate distance,the applied voltage,and stage moving speed.A convolutional neural network is then developed to classify these EHDP cone modes with the consideration of training time consumption and testing accuracy.A control algorithm will be developed to regulate the process parameters at the next stage for effective scaffold fabrication.Jie Sun Linzhi Jing Xiaotian Fan Xueying Gao Yung C.Liang 2019International Journal of Bioprinting2019,5,1:0
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