| 1 | Tolerance and acceptance of hepatic venous pressure gradient measurement in cirrhosis(CHESS1904):An international multicenter study显示文摘Aim:To determine the tolerance and acceptance of hepatic venous pressure gradient(HVPG)measurements in patients with liver cirrhosis.Methods:This prospective international multicenter study included 271 patients with cirrhosis who were scheduled to undergo HVPG measurement between October 2019 and June 2020.Data related to the tolerance and acceptance of HVPG measurements were collected using descriptive questionnaires.Results:HVPG measurements were technically successful in all 271 patients,with 141(52.0%)undergoing HVPG measurement alone.The complication rate was 0.4%.Postoperative pain was significantly lower than preoperative expected pain(p<0.001)and intraoperative pain(p<0.001),and intraoperative pain was also significantly lower than preoperative expected pain(p=0.036).No,mild,moderate,severe,and intolerable discomfort scores were reported by 36.9%,44.6%,11.1%,6.3%,and 0.4%of these patients,respectively,during HVPG measurement and by 54.6%32.5%,11.4%,1.5%,and 0%,respectively,after HVPG measurement.Of these patients,39.5%had little understanding and 10%had no understanding of the value of HVPG measurement,with 35.1%and 4.1%regarding HVPG measurements as being of little or no help,respectively.Most patients reported that they would definitely(15.5%),probably(46.9%),or possibly(29.9%)choose to undergo additional HVPG measurements again,and 62.7%regarded the cost of the procedure as acceptable.Conclusion:HVPG measurement was safe and well‐tolerated in patients with cirrhosis,but patient education and communication are warranted to improve the acceptance of this procedure. | Jun‐Hui Sun He Zhao Haijun Zhang Lei Li NecatiÖrmeci Zi‐Niu Yu Xun Li Shuangxi Li Xujun Yang Huaping Wei Xiaoliang Zhu Zhengcong Zhang Yajin Wang Zhongwei Zhao Jianting Mao Qiaohong Wu Xiaole Sun Huiling Xiang Kefeng Jia Chao Yang Wei Wu Xiuqing Lin Haixin Yao Changzeng Zuo Jitao Wang Bo Zhang Chunqing Zhang Xiaoling Wu Guangchuan Wang Shengjuan Yao Ruihang Wang Li Zhou Hui Huan Qingli Tu Xue Pu Feng Zhang Qin Yin Linpeng Zhang Ying Guo Jian Wang Kohei Kotani Sawako Uchida‐Kobayashi Norifumi Kawada He Zhu Li Li Wei Wang Guo Zhang Lei Yu Xudong Cui Qingliang Zhu Hailong Zhang Xiaoli Hu Rafael OXimenes Adriano Gonçalves de Araújo Giulliano Gardenghi Yubao Zheng Zebin Wu Mingsheng Huang Xiaoyong Chen Jun Wu Feng Xie Yang Bo Shengjuan Hu Linke Ma Xiao Li Xiaolong Qi | 2022 | Portal Hypertension & Cirrhosis2022，1，1： | 0 |
| 2 | Real-time monitoring system for quality monitoring of jujube slice during drying process显示文摘The real-time monitoring and prediction system for quality attributes of jujube slices during the drying process was designed to solve the problem of destructive and inconvenient of the traditional quality detection method and realize quality online monitoring.Firstly,machine vision and automatic weighing were employed to monitor the color and moisture content changes of jujube slices in real-time.Secondly,correlation models between color parameter(a^(*)value)and nutritional quality attributes(vitamin C,reducing sugar)were established to predict vitamin C and reducing sugar content of jujube slices during the drying process.Finally,the upper computer monitoring software was integrated and designed based on LABVIEW virtual instrument,and the real-time monitoring system was tested and validated.Results showed that:the changing trends of color(L^(*),a^(*),and b^(*)values)monitored by the system were basically the same as the results detected by color difference meter,and the average errors of L^(*),a^(*),and b^(*)values were 0.93,0.52,and 0.73,respectively.The average relative error of moisture content between the system monitoring and manual static detection was 0.18%.The average error of vitamin C and reducing sugar content between the system prediction and manual detection were 50 mg/100 g in dry basis and 0.71g/100 g in dry basis,respectively.The current work can provide a useful reference for real-time monitoring of quality attributes of fruits and vegetables during the drying process. | Yuxue Cao Xuedong Yao Yongzhen Zang Yubao Niu Hongwei Xiao Huan Liu Rongguang Zhu Xia Zheng Qiang Wang Xiangnan Zhang Shiyu Wei | 2022 | International Journal of Agricultural and Biological Engineering2022，15，3： | 0 |
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