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- 저자 : Huifang Shen (검색결과 3 건)
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Lishan Lv,Xiaoming Li,Genmei Liu,Ran Li,Qiliang Liu,Huifang Shen,Wei Wang,Chunyi Xue,Yongchang Cao 대한수의학회 2014 JOURNAL OF VETERINARY SCIENCE Vol.15 No.2
Infectious bronchitis virus (IBV) poses a severe threat to thepoultry industry and causes heavy economic losses worldwide. Vaccination is the most effective method of preventing infectionand controlling the spread of IBV, but currently availableinactivated and attenuated virus vaccines have somedisadvantages. We developed a chimeric virus-like particle(VLP)-based candidate vaccine for IBV protection. The chimericVLP was composed of matrix 1 protein from avian influenzaH5N1 virus and a fusion protein neuraminidase (NA)/spike 1 (S1)that was generated by fusing IBV S1 protein to the cytoplasmicand transmembrane domains of NA protein of avian influenzaH5N1 virus. The chimeric VLPs elicited significantly higherS1-specific antibody responses in intramuscularly immunizedmice and chickens than inactivated IBV viruses. Furthermore,the chimeric VLPs induced significantly higher neutralizationantibody levels than inactivated H120 virus in SPF chickens. Finally, the chimeric VLPs induced significantly higher IL-4production in mice. These results demonstrate that chimericVLPs have the potential for use in vaccines against IBV infection.
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Enalapril maleate as a green accelerator for zinc phosphating coating on low-carbon steel
Weishan Wang,Yuqin Tian,Aojue Ke,Haowei Huang,Huifang Shen,Xinya Zhang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.120 No.-
In this study, enalapril maleate (EM), a green ingredient of an antihypertensive drug, was selected as anaccelerator for phosphate coating promoting on low-carbon steel. The scanning electron microscope(SEM), X-ray diffraction (XRD), 3D morphologies, coating weight, coating thickness and free acidity(FA) as well as total acidity (TA) were characterized to analyze the coating performance. Copper sulfatetitration, potentiodynamic polarization (PDP) and electrochemical impedance spectroscopy (EIS) wereperformed to evaluate corrosion resistance of phosphate coatings. The DFT computations were appliedto explore the phosphating promoting mechanism. The results show that the EM optimal concentrationis 1.6 g/L which lowers the operating temperature (form 80 ℃ to 40 ℃), generates the smoothest (Ra = 2. 85 lm), the heaviest (28.35 g/cm2) and the thinnest (21.6 lm) coating, and reduces the corrosion ratefrom 1.099 mpy of blank to 0.0246 mpy. The density functional theory (DFT) results confirm that EMadsorbs on low-carbon steel by electrophilic sites (N10) as well as nucleophilic sites (C10), forms nucleatedparticles preferentially and accelerates the growth of crystals. Therefore, EM is a green organic compoundwith high phosphating promotion efficiency which has potential application prospects inindustrial phosphating.
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Automatic cystocele severity grading in transperineal ultrasound by random forest regression
Ni, Dong,Ji, Xing,Wu, Min,Wang, Wenlei,Deng, Xiaoshuang,Hu, Zhongyi,Wang, Tianfu,Shen, Dinggang,Cheng, Jie-Zhi,Wang, Huifang Elsevier 2017 Pattern recognition Vol.63 No.-
<P><B>Abstract</B></P> <P>Cystocele is a woman disease that bladder herniates into vagina. Women with cystocele may have problem in urinating and higher risk of bladder infection. The treatment of cystocele highly depends on the severity. The cystocele severity is usually evaluated with the manual transperineal ultrasound measurement for the maximal distance between the bladder and the lower tip of symphysis pubis in the Valsalva maneuver. To improve the efficiency of the measurement, we propose a fully automatic scheme that can measure the distance between the two anatomic structures in each ultrasound image. The whole measurement scheme is realized with a two-phase random forest regression to infer the locations of the two structures in the images for the support of distance measurement. The experimental results suggest automatic distance measurements and the final grading by our random forest regression method are comparable to the measurements and grading scores from three medical doctors, and thus corroborate the efficacy of our method.</P> <P><B>Highlights</B></P> <P> <UL> <LI> First automatically computerized cystocele grading method on the transperineal ultrasound is developed in this study. </LI> <LI> The automatic cystocele grading on the transperineal ultrasound is realized with a two-phase random forest regression model. </LI> <LI> Auto-context features are helpful for our regression model to improve the cystocele grading results. </LI> </UL> </P>
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