In the actual monitoring of deep hole displacement,the identification of slip surfaces is primarily based on abrupt changes observed in the inclinometric curve.In conventional identification methods,inclinometric curv...In the actual monitoring of deep hole displacement,the identification of slip surfaces is primarily based on abrupt changes observed in the inclinometric curve.In conventional identification methods,inclinometric curves exhibiting indications of sliding can be categorized into three types:B-type,D-type,and r-type.The position of the slip surface is typically determined by identifying the depth corresponding to the point of maximum displacement mutation.However,this method is sensitive to the interval of measurement points and the observation scale of the coordinate axes and suffers from unclear sliding surfaces and uncertain values.Based on the variation characteristics of these diagonal curves,we classified the landslide into three components:the sliding body,the sliding interval,and the immobile body.Moreover,three different generalization models were established to analyze the relationships between the curve form and the slip surface location based on different physical indicators such as displacement rate,relative displacement,and acceleration.The results show that the displacement rate curves of an r-type slope exhibit a clustering feature in the sliding interval,and by solving for the depth of discrete points within the step phase,it is possible to determine the location of the slip surface.On the other hand,D-type slopes have inflection points in the relative displacement curve located at the slip surface.The acceleration curves of B-type slopes exhibit clustering characteristics during the sliding interval,while the scattered acceleration data demonstrate wandering characteristics.Consequently,the slip surface location can be revealed by solving the depth corresponding to the maximum acceleration with cubic spline interpolation.The approach proposed in this paper was applied to the monitoring data of a landslide in Yunnan Province,China.The results indicate that our approach can accurately identify the slip surface location and enable computability of its position,thereby enhancing applicability and reliability of the deep-hole displacement monitoring data.展开更多
The reactivity between charged Li(Li_(0.115)Mn_(0.529)Ni_(0.339)Al_(0.017))O_(2)(Li-rich),single crystal Li(Ni_(0.8)Mn_(0.1)Co_(0.1))O_(2)(SC-NMC811),LiFePO_(4)(LFP) and LiMn_(0.8)Fe_(0.2)PO_(4)(LMFP) positive electro...The reactivity between charged Li(Li_(0.115)Mn_(0.529)Ni_(0.339)Al_(0.017))O_(2)(Li-rich),single crystal Li(Ni_(0.8)Mn_(0.1)Co_(0.1))O_(2)(SC-NMC811),LiFePO_(4)(LFP) and LiMn_(0.8)Fe_(0.2)PO_(4)(LMFP) positive electrodes at different states of charge(SOCs) and traditional carbonate-based electrolyte at elevated temperatures is systematically studied using accelerating rate calorimetry(ARC).The results show that the SOC greatly affects the thermal stability of the Li-rich and SC-NMC811 when traditional carbonate-based electrolyte is used.Although an increase in the SOC increases the energy density of lithium-ion cells,it also increases the reactivity between charged Li-rich and SC-NMC811 samples with electrolyte at elevated temperatures.In comparison with SC-NMC811,the Li-rich samples are much more stable at elevated temperatures,and the latter have higher specific capacity.SC-NMC811 samples are less reactive than traditional polycrystalline NMC811.Both LFP and LMFP samples show excellent thermal stability at elevated temperatures.The substitution of Fe by Mn in the olivine series positive materials does not impact the reactivity with electrolyte.展开更多
Objectives To investigate the positive rate of different hepatitis B virus(HBV) serological markers,and the demographic factors related to HBV infection.Methods We enrolled all patients tested for HBV serological mark...Objectives To investigate the positive rate of different hepatitis B virus(HBV) serological markers,and the demographic factors related to HBV infection.Methods We enrolled all patients tested for HBV serological markers,such as HBV surface antigen(HBsAg),HBV surface antibody(HBsAb),hepatitis B e antigen(HBeAg),hepatitis B e antibody(HBeAb),HBV core antibody(HBcAb),and HBV-DNA from July 2008 to July 2009 in Peking Union Medical College Hospital.The positive rate of each HBV serological marker was calculated according to gender,age,and department,respectively.The positive rates of HBV-DNA among patients with positive HBsAg were also analyzed.Results Among 27 409 samples included,2681(9.8%) were HBsAg positive.When patients were divided into 9 age groups,the age-specific positive rate of HBsAg was 1.2%,9.6%,12.3%,10.9%,10.3%,9.7%,8.0%,S.8%,and 4.3%,respectively.The positive rate of HBsAg in non-surgical department,surgical department,and health examination center was 16.2%,5.8%> and 4.7%,respectively.The positive rate of HBsAg of males(13.3%) was higher than that of females(7.3%,P=0.000).Among the 2681 HBsAg(+)patients,1230(45.9%) had HBV-DNA test,of whom 564(45.9%) were positive.Patients with HBsAg(+),HBeAg(+),and HBcAg(+) result usually had high positive rate of HBV-DNA results(71.8%,P=0.000).Conclusions Among this group of patients in our hospital,the positive rate of HBsAg was relatively high.Age group of 20-29,males,and patients in non-surgical departments were factors associated with high positive rate of HBsAg.展开更多
To analyze the effect of two types of IUDs, TCu380A and GyneFix on the positive rate of Chlamydia Trahmatis (CT). Methods The TCu380A and GyneFix IUDs were compared in a randomized was for the one year and two year...To analyze the effect of two types of IUDs, TCu380A and GyneFix on the positive rate of Chlamydia Trahmatis (CT). Methods The TCu380A and GyneFix IUDs were compared in a randomized was for the one year and two year positive rate of Chlamydia Trahmatis (CT) and with the control respectively. Results The one year positive rate of CT antigens was 5.63% of TCu380A and two year was 4.92%; the one year positive rate of CT antigens was 4.62% and two year was 5.08% of GyneFix. There was no significant difference in the positive rate of CT antigen between the TCu380A IUD, and GyneFix IUDs groups, while there were significant differences between the TCu380A IUD, GyneFix IUD and the controls (15.18%) respectively. Conclusion Both IUDs provide highly effective protection against CT infection.展开更多
The integration of clusters,grids,clouds,edges and other computing platforms result in contemporary technology of jungle computing.This novel technique has the aptitude to tackle high performance computation systems a...The integration of clusters,grids,clouds,edges and other computing platforms result in contemporary technology of jungle computing.This novel technique has the aptitude to tackle high performance computation systems and it manages the usage of all computing platforms at a time.Federated learning is a collaborative machine learning approach without centralized training data.The proposed system effectively detects the intrusion attack without human intervention and subsequently detects anomalous deviations in device communication behavior,potentially caused by malicious adversaries and it can emerge with new and unknown attacks.The main objective is to learn overall behavior of an intruder while performing attacks to the assumed target service.Moreover,the updated system model is send to the centralized server in jungle computing,to detect their pattern.Federated learning greatly helps the machine to study the type of attack from each device and this technique paves a way to complete dominion over all malicious behaviors.In our proposed work,we have implemented an intrusion detection system that has high accuracy,low False Positive Rate(FPR)scalable,and versatile for the jungle computing environment.The execution time taken to complete a round is less than two seconds,with an accuracy rate of 96%.展开更多
基金supported by the Scientific and Technological Research and Development Programs of China Railway Group Limited(Grant No.2022 Major Special Project-07)Gansu Provincial Technology Innovation Guidance Program-Special Funding for Capacity Building of Enterprise R&D Institutions(Grant No.23CXJA0011)Key R&D and transformation plan of Qinghai Province,China(Special Project for Transformation of Scientific and Technological Achievements No.2022-SF-158).
文摘In the actual monitoring of deep hole displacement,the identification of slip surfaces is primarily based on abrupt changes observed in the inclinometric curve.In conventional identification methods,inclinometric curves exhibiting indications of sliding can be categorized into three types:B-type,D-type,and r-type.The position of the slip surface is typically determined by identifying the depth corresponding to the point of maximum displacement mutation.However,this method is sensitive to the interval of measurement points and the observation scale of the coordinate axes and suffers from unclear sliding surfaces and uncertain values.Based on the variation characteristics of these diagonal curves,we classified the landslide into three components:the sliding body,the sliding interval,and the immobile body.Moreover,three different generalization models were established to analyze the relationships between the curve form and the slip surface location based on different physical indicators such as displacement rate,relative displacement,and acceleration.The results show that the displacement rate curves of an r-type slope exhibit a clustering feature in the sliding interval,and by solving for the depth of discrete points within the step phase,it is possible to determine the location of the slip surface.On the other hand,D-type slopes have inflection points in the relative displacement curve located at the slip surface.The acceleration curves of B-type slopes exhibit clustering characteristics during the sliding interval,while the scattered acceleration data demonstrate wandering characteristics.Consequently,the slip surface location can be revealed by solving the depth corresponding to the maximum acceleration with cubic spline interpolation.The approach proposed in this paper was applied to the monitoring data of a landslide in Yunnan Province,China.The results indicate that our approach can accurately identify the slip surface location and enable computability of its position,thereby enhancing applicability and reliability of the deep-hole displacement monitoring data.
文摘The reactivity between charged Li(Li_(0.115)Mn_(0.529)Ni_(0.339)Al_(0.017))O_(2)(Li-rich),single crystal Li(Ni_(0.8)Mn_(0.1)Co_(0.1))O_(2)(SC-NMC811),LiFePO_(4)(LFP) and LiMn_(0.8)Fe_(0.2)PO_(4)(LMFP) positive electrodes at different states of charge(SOCs) and traditional carbonate-based electrolyte at elevated temperatures is systematically studied using accelerating rate calorimetry(ARC).The results show that the SOC greatly affects the thermal stability of the Li-rich and SC-NMC811 when traditional carbonate-based electrolyte is used.Although an increase in the SOC increases the energy density of lithium-ion cells,it also increases the reactivity between charged Li-rich and SC-NMC811 samples with electrolyte at elevated temperatures.In comparison with SC-NMC811,the Li-rich samples are much more stable at elevated temperatures,and the latter have higher specific capacity.SC-NMC811 samples are less reactive than traditional polycrystalline NMC811.Both LFP and LMFP samples show excellent thermal stability at elevated temperatures.The substitution of Fe by Mn in the olivine series positive materials does not impact the reactivity with electrolyte.
基金Supported by the Key Project from Beijing Municipal Science and Technology Commission(D121100003912003)
文摘Objectives To investigate the positive rate of different hepatitis B virus(HBV) serological markers,and the demographic factors related to HBV infection.Methods We enrolled all patients tested for HBV serological markers,such as HBV surface antigen(HBsAg),HBV surface antibody(HBsAb),hepatitis B e antigen(HBeAg),hepatitis B e antibody(HBeAb),HBV core antibody(HBcAb),and HBV-DNA from July 2008 to July 2009 in Peking Union Medical College Hospital.The positive rate of each HBV serological marker was calculated according to gender,age,and department,respectively.The positive rates of HBV-DNA among patients with positive HBsAg were also analyzed.Results Among 27 409 samples included,2681(9.8%) were HBsAg positive.When patients were divided into 9 age groups,the age-specific positive rate of HBsAg was 1.2%,9.6%,12.3%,10.9%,10.3%,9.7%,8.0%,S.8%,and 4.3%,respectively.The positive rate of HBsAg in non-surgical department,surgical department,and health examination center was 16.2%,5.8%> and 4.7%,respectively.The positive rate of HBsAg of males(13.3%) was higher than that of females(7.3%,P=0.000).Among the 2681 HBsAg(+)patients,1230(45.9%) had HBV-DNA test,of whom 564(45.9%) were positive.Patients with HBsAg(+),HBeAg(+),and HBcAg(+) result usually had high positive rate of HBV-DNA results(71.8%,P=0.000).Conclusions Among this group of patients in our hospital,the positive rate of HBsAg was relatively high.Age group of 20-29,males,and patients in non-surgical departments were factors associated with high positive rate of HBsAg.
文摘To analyze the effect of two types of IUDs, TCu380A and GyneFix on the positive rate of Chlamydia Trahmatis (CT). Methods The TCu380A and GyneFix IUDs were compared in a randomized was for the one year and two year positive rate of Chlamydia Trahmatis (CT) and with the control respectively. Results The one year positive rate of CT antigens was 5.63% of TCu380A and two year was 4.92%; the one year positive rate of CT antigens was 4.62% and two year was 5.08% of GyneFix. There was no significant difference in the positive rate of CT antigen between the TCu380A IUD, and GyneFix IUDs groups, while there were significant differences between the TCu380A IUD, GyneFix IUD and the controls (15.18%) respectively. Conclusion Both IUDs provide highly effective protection against CT infection.
文摘The integration of clusters,grids,clouds,edges and other computing platforms result in contemporary technology of jungle computing.This novel technique has the aptitude to tackle high performance computation systems and it manages the usage of all computing platforms at a time.Federated learning is a collaborative machine learning approach without centralized training data.The proposed system effectively detects the intrusion attack without human intervention and subsequently detects anomalous deviations in device communication behavior,potentially caused by malicious adversaries and it can emerge with new and unknown attacks.The main objective is to learn overall behavior of an intruder while performing attacks to the assumed target service.Moreover,the updated system model is send to the centralized server in jungle computing,to detect their pattern.Federated learning greatly helps the machine to study the type of attack from each device and this technique paves a way to complete dominion over all malicious behaviors.In our proposed work,we have implemented an intrusion detection system that has high accuracy,low False Positive Rate(FPR)scalable,and versatile for the jungle computing environment.The execution time taken to complete a round is less than two seconds,with an accuracy rate of 96%.
