Actiye System Locker是一款系统保护类软件，针对多用户环境下Windows设置的不安全性，对Windows进行定制。该软件适于多用户公用机器的管理，也适用于对自己机器有安全性要求的用户。软件使用Delphi制作，不需要任何运行库、DIl文件以...Actiye System Locker是一款系统保护类软件，针对多用户环境下Windows设置的不安全性，对Windows进行定制。该软件适于多用户公用机器的管理，也适用于对自己机器有安全性要求的用户。软件使用Delphi制作，不需要任何运行库、DIl文件以及ActiveX的支持。软件运行后，点击界面中的类似钥匙的图标，屏幕立即就会被锁住，展开更多
As a widely used security device,the electronic passworded locker is designed to protect personal property and space.However,once the password is leaked to an unauthorized person,its security is lost.Here,with the ass...As a widely used security device,the electronic passworded locker is designed to protect personal property and space.However,once the password is leaked to an unauthorized person,its security is lost.Here,with the assistance of triboelectric nanogenerators(TENGs),we present an intelligent electronic passworded locker(IEPL)based on unique and personalized security barriers,which can accurately extract users’habits of entering passwords through integrated deep learning.The key of the IEPL adopts the single electrode mode of TENG that accurately recognizes the input behavior of a person based on machine learning,which serves as a reliable,unique,unreproducible gate,with advantages of thin thickness,diversified structure,and simple preparation method.Finally,the proposed IEPL offers a reliable solution for improving the overall security of passworded lockers and extending the application of TENG-based sensors in the smart home.展开更多
目的探讨Look-Locker技术在定量动态增强(DCE)MRI鉴别诊断乳腺良恶性病变的价值。方法搜集本院患有乳腺疾病的女性患者63例,其中恶性组48例,均为浸润性导管癌;良性组15例。另选择48例双侧正常乳腺为对照组。行3.0 T DCE-MR检查,以Look-L...目的探讨Look-Locker技术在定量动态增强(DCE)MRI鉴别诊断乳腺良恶性病变的价值。方法搜集本院患有乳腺疾病的女性患者63例,其中恶性组48例,均为浸润性导管癌;良性组15例。另选择48例双侧正常乳腺为对照组。行3.0 T DCE-MR检查,以Look-Locker序列为基础测量T1定量参数容量转移常数(K^(trans))、速率常数(Kep)和血管外细胞外间隙容积比(Ve),对恶性病变、良性病变及正常腺体组间定量参数行单因素方差分析及LSD法两两比较;最后绘制受试者工作特征曲线(ROC)。结果恶性病变组K^(trans)、Kep、Ve均值为(0.886±0.507)min^(-1)、(1.343±0.483) min^(-1)、0.712±0.241;良性病变组均值为(0.297±0.241) min^(-1)、(0.423±0.283) min^(-1)、0.548±0.216;正常腺体组间均值为(0.019±0.024) min^(-1)、(0.195±0.217) min^(-1)、0.116±0.121。单因素方差分析显示正常腺体组织、良性、恶性病变间K^(trans)(F=76.674,P<0.001)、Kep(F=125.199,P<0.001)、Ve(F=115.930,P<0.001)差异均有统计学意义。三者AUC分别为0.874、0.963、0.686,三者判断乳腺良恶性病变的K^(trans)、Kep、Ve敏感度分别为95.8%、91.7%、41.7%;特异度分别为66.7%、93.3%、93.3%。结论以Look-Locker序列为基础测量的3.0 T DCE-MRI参数K^(trans)、Kep、Ve可以反映乳腺良恶性病变中血管生成的差异,在乳腺病变诊断与鉴别诊断中具有一定价值。展开更多
文摘Actiye System Locker是一款系统保护类软件，针对多用户环境下Windows设置的不安全性，对Windows进行定制。该软件适于多用户公用机器的管理，也适用于对自己机器有安全性要求的用户。软件使用Delphi制作，不需要任何运行库、DIl文件以及ActiveX的支持。软件运行后，点击界面中的类似钥匙的图标，屏幕立即就会被锁住，
基金the National Natural Science Foundation of China(No.61503051).
文摘As a widely used security device,the electronic passworded locker is designed to protect personal property and space.However,once the password is leaked to an unauthorized person,its security is lost.Here,with the assistance of triboelectric nanogenerators(TENGs),we present an intelligent electronic passworded locker(IEPL)based on unique and personalized security barriers,which can accurately extract users’habits of entering passwords through integrated deep learning.The key of the IEPL adopts the single electrode mode of TENG that accurately recognizes the input behavior of a person based on machine learning,which serves as a reliable,unique,unreproducible gate,with advantages of thin thickness,diversified structure,and simple preparation method.Finally,the proposed IEPL offers a reliable solution for improving the overall security of passworded lockers and extending the application of TENG-based sensors in the smart home.
文摘目的探讨Look-Locker技术在定量动态增强(DCE)MRI鉴别诊断乳腺良恶性病变的价值。方法搜集本院患有乳腺疾病的女性患者63例,其中恶性组48例,均为浸润性导管癌;良性组15例。另选择48例双侧正常乳腺为对照组。行3.0 T DCE-MR检查,以Look-Locker序列为基础测量T1定量参数容量转移常数(K^(trans))、速率常数(Kep)和血管外细胞外间隙容积比(Ve),对恶性病变、良性病变及正常腺体组间定量参数行单因素方差分析及LSD法两两比较;最后绘制受试者工作特征曲线(ROC)。结果恶性病变组K^(trans)、Kep、Ve均值为(0.886±0.507)min^(-1)、(1.343±0.483) min^(-1)、0.712±0.241;良性病变组均值为(0.297±0.241) min^(-1)、(0.423±0.283) min^(-1)、0.548±0.216;正常腺体组间均值为(0.019±0.024) min^(-1)、(0.195±0.217) min^(-1)、0.116±0.121。单因素方差分析显示正常腺体组织、良性、恶性病变间K^(trans)(F=76.674,P<0.001)、Kep(F=125.199,P<0.001)、Ve(F=115.930,P<0.001)差异均有统计学意义。三者AUC分别为0.874、0.963、0.686,三者判断乳腺良恶性病变的K^(trans)、Kep、Ve敏感度分别为95.8%、91.7%、41.7%;特异度分别为66.7%、93.3%、93.3%。结论以Look-Locker序列为基础测量的3.0 T DCE-MRI参数K^(trans)、Kep、Ve可以反映乳腺良恶性病变中血管生成的差异,在乳腺病变诊断与鉴别诊断中具有一定价值。
