As the frontier of intelligent computing technology,affective computing has been used in border inspection,case investigation,crime assessment,public opinion management,traffic management and other scenarios of public...As the frontier of intelligent computing technology,affective computing has been used in border inspection,case investigation,crime assessment,public opinion management,traffic management and other scenarios of public governance.However,there are still public risks associated with its failure to meet the basic requirements of modern public governance,and these risks are rooted in its technical characteristics.The technical characteristics of turning emotions into signals can give rise to such problems as degrading the right to informed consent,de-governance,and undermining human dignity when applied in public governance,and consequently can lead to social rights anxiety.Additionally,the affective modeling characteristics of affective computing tend to incur the rights risks of insufficient algorithm accuracy,algorithmic discrimination,and algorithmic black boxes.To avoid these risks,it is necessary to adopt the dynamic consent model as the premise for applying affective computing in public governance,and to regulate the auxiliary application of affective computing in public governance in a hierarchical manner,to achieve a balance between the application of affective computing technology and the protection of citizens'rights and the maintenance of public ethics.展开更多
BACKGROUND：The right lobe of the liver is generally preferred for living donor liver transplantation in adult patients with end-stage liver disease.It is important to know the preoperative factors relating to the maj...BACKGROUND：The right lobe of the liver is generally preferred for living donor liver transplantation in adult patients with end-stage liver disease.It is important to know the preoperative factors relating to the major postoperative complications.We therefore evaluated the possible risk factors for predicting postoperative complications in right lobe liver donors.METHODS：Data from 378 donors who had undergone right lobe hepatectomy at our center were evaluated retrospectively. The factors we evaluated induded donor age, gender, body mass index （BMI）, remnant liver volume, operation time, history of previous abdominal surgery, inclusion of the middle hepatic vein and variations in the portal and bile systems. RESUEI＇S： Of the 378 donors, 219 were male and 159 female. None of the donors died, but 124 （32.8%） donors experienced complications including major complications （Clavien scores III and IV） in 27 （7.1%）. Univariate analysis showed that complica- tions were significantly associated with male gender and higher BMI （P〈0.05）, but not with donor age, remnant liver volume, operation time, graft with middle hepatic vein, variations in the portal and bile systems and previous abdominal surgery （P〉0.05）. Multivariate logistic regression analysis showed that major complications were significantly associated with male gender （P=0.005） and higher BMI （P=0.029）. Moreover, the Chi- square test showed that there were significant relationships between major complications and male gender （P=0.010,Z2=6.614, df=l） and BMI 〉25 kg/m2 （P=-0.031, Z2=8.562, df-1）. Of the 96 male donors with BMI 〉25 kg/m2, 14 （14.6%） with major complications had significantly smaller mean remnant liver volume than those （82, 85.4%） without major complications （32.50%± 4.45% vs 34.63%±3.11%, P=0.029）.CONCLUSION： Male donors with BMI 〉25 kg/m2 and a remnant liver volume 〈32.50% had a significantly increased risk for major complications.展开更多
基金a phased achievement of the 2020 Youth Fund Project of the Ministry of Education in Humanities and Social Sciences of China,titled“Legislative Research on Collaborative Dispute Resolution Mechanisms for Medical Disputes in the Guangdong-Hong Kong-Macao Greater Bay Area”(Project Number 20YJC820023)。
文摘As the frontier of intelligent computing technology,affective computing has been used in border inspection,case investigation,crime assessment,public opinion management,traffic management and other scenarios of public governance.However,there are still public risks associated with its failure to meet the basic requirements of modern public governance,and these risks are rooted in its technical characteristics.The technical characteristics of turning emotions into signals can give rise to such problems as degrading the right to informed consent,de-governance,and undermining human dignity when applied in public governance,and consequently can lead to social rights anxiety.Additionally,the affective modeling characteristics of affective computing tend to incur the rights risks of insufficient algorithm accuracy,algorithmic discrimination,and algorithmic black boxes.To avoid these risks,it is necessary to adopt the dynamic consent model as the premise for applying affective computing in public governance,and to regulate the auxiliary application of affective computing in public governance in a hierarchical manner,to achieve a balance between the application of affective computing technology and the protection of citizens'rights and the maintenance of public ethics.
文摘BACKGROUND：The right lobe of the liver is generally preferred for living donor liver transplantation in adult patients with end-stage liver disease.It is important to know the preoperative factors relating to the major postoperative complications.We therefore evaluated the possible risk factors for predicting postoperative complications in right lobe liver donors.METHODS：Data from 378 donors who had undergone right lobe hepatectomy at our center were evaluated retrospectively. The factors we evaluated induded donor age, gender, body mass index （BMI）, remnant liver volume, operation time, history of previous abdominal surgery, inclusion of the middle hepatic vein and variations in the portal and bile systems. RESUEI＇S： Of the 378 donors, 219 were male and 159 female. None of the donors died, but 124 （32.8%） donors experienced complications including major complications （Clavien scores III and IV） in 27 （7.1%）. Univariate analysis showed that complica- tions were significantly associated with male gender and higher BMI （P〈0.05）, but not with donor age, remnant liver volume, operation time, graft with middle hepatic vein, variations in the portal and bile systems and previous abdominal surgery （P〉0.05）. Multivariate logistic regression analysis showed that major complications were significantly associated with male gender （P=0.005） and higher BMI （P=0.029）. Moreover, the Chi- square test showed that there were significant relationships between major complications and male gender （P=0.010,Z2=6.614, df=l） and BMI 〉25 kg/m2 （P=-0.031, Z2=8.562, df-1）. Of the 96 male donors with BMI 〉25 kg/m2, 14 （14.6%） with major complications had significantly smaller mean remnant liver volume than those （82, 85.4%） without major complications （32.50%± 4.45% vs 34.63%±3.11%, P=0.029）.CONCLUSION： Male donors with BMI 〉25 kg/m2 and a remnant liver volume 〈32.50% had a significantly increased risk for major complications.
