本文以30Cr Mn Si A结构钢为研究对象,利用低温等离子体渗氮及低温渗氮-低温氧化复合技术对其进行表面改性研究,重点研究了氧化时间对渗氮30Cr Mn Si A钢表面组织结构和性能的影响。采用扫描电子显微镜、X射线衍射仪分析渗氮层及渗氮-...本文以30Cr Mn Si A结构钢为研究对象,利用低温等离子体渗氮及低温渗氮-低温氧化复合技术对其进行表面改性研究,重点研究了氧化时间对渗氮30Cr Mn Si A钢表面组织结构和性能的影响。采用扫描电子显微镜、X射线衍射仪分析渗氮层及渗氮-氧化复合改性层的表面形貌、截面组织和相结构;利用维氏硬度计、摩擦磨损试验机和电化学工作站对渗氮层及复合改性层的硬度、耐磨性和耐蚀性进行评价。结果表明,渗氮层表面主要由ε-Fe_(23)N、γ'-Fe_(4)N和α_N相组成,经不同时间的氧化处理后,渗氮层表面生成Fe_(3)O_(4)相和Fe_(2)O_(3)相;随着氧化时间的延长,氧化物的含量增大,表面硬度增大,最大可达1012 HV_(0.05),改性层的有效硬化层厚度约为200μm;在防腐耐磨方面,渗氮层和渗氮-氧化复合改性层的耐磨性和耐蚀性均显著提高,且短时间氧化的复合改性层具有更好的耐磨性和耐蚀性。展开更多
Emerald mineralization from the Bahutiya and Gurabanda areas of Jharkhand in the eastern part of India is a recent discovery.In this deposit,emerald mineralization occurs along the contact zone between pegmatite and e...Emerald mineralization from the Bahutiya and Gurabanda areas of Jharkhand in the eastern part of India is a recent discovery.In this deposit,emerald mineralization occurs along the contact zone between pegmatite and epidiorite-hornblende schist of the Dhanjori Group(2.1-2.9 Ga).Host rock petrographic characteristics,along with the spatial distribution of the emerald,suggest a metasomatic origin for the emerald mineralization in the study area.The well-developed emerald crystals are found along the S_(2)schistosity plane,suggesting lithological and structural control on the mineralization.Electron microprobe data of the emerald indicates that the green hue is primarily due to the variable chromium content and Be could have been derived from the soda-granite of the Singhbhum Shear Zone.The average Cr_(2)O_(3)and Cr concentration in the emerald is 0.038 wt%and 0.003 apfu,respectively.The ternary diagrams FeO-MgO-Cr_(2)O_(3)and FeO-Cr_(2)O_(3)-V_(2)O_(5)are plotted and superimposed on global emerald data,compiled from the literature,which shows the similarity of this deposit to other emerald deposits of the world.From the present study,it is inferred that the emerald deposits of Bahutiya and Gurabanda,Jharkhand,belong to the Type-IA category.展开更多
Herein,a novel label-free electrochemical immunosensor was fabricated via immobilizing specific anti-β-lactoglobulin(β-LG)antibodies(Abs)onto an integrated electrode of gold nanoparticles(AuNPs)/Prussian blue(PB)/cu...Herein,a novel label-free electrochemical immunosensor was fabricated via immobilizing specific anti-β-lactoglobulin(β-LG)antibodies(Abs)onto an integrated electrode of gold nanoparticles(AuNPs)/Prussian blue(PB)/cubic Ia3d structured mesoporous carbon(CMK-8).This immunosensor allowed for the quantitative detection of the major milk allergenβ-LG.CMK-8 with excellent electrical conductivity and uniformly adjustable pore structure was modified on the glassy carbon electrode(GCE)and served as the sensitive substrate for the electro-polymerization of PB,forming the redox-active layer.AuNPs were subsequently electrochemically deposited on PB/CMK-8/GCE to improve the electrical conductivity and utilized as the connector for Abs immobilization.Duringβ-LG detection,the Abs-modified AuNPs/PB/CMK-8/GCE exhibited a significant reduction in differential pulse voltammetry current signal when exposed toβ-LG,displaying an inverse dose-dependent relationship.The developed electrochemical immunosensor demonstrated good detection performance forβ-LG,with a wider linear range of 0.01-100 ng/mL and a lower detection limit of 4.72 pg/mL.Meanwhile,the sensor exhibited remarkable repeatability,reproducibility,stability and anti-interference capabilities,which was further applied to detectβ-LG in dairy food,achieving satisfactory recoveries(89.2%-98.8%)and lower relative standard deviation(£3.1%).Therefore,this innovative electrochemical method for food allergen detection holds great potential application in food safety determination and evaluation.展开更多
This paper presents modeling and simulation of a multi-input multi-output (MIMO) adaptive control system (ACS) for human arterial blood pressure (HABP) by multiple drug inputs -infusion speed (IS) control of inotropic...This paper presents modeling and simulation of a multi-input multi-output (MIMO) adaptive control system (ACS) for human arterial blood pressure (HABP) by multiple drug inputs -infusion speed (IS) control of inotropic agent (IA) and vasoactive agent (VA). The MIMO ACS is able to choose the most appropriate IS of IA and VA at good IS in order to maintain the aortic pressure (AOP) and central vain pressure (CAP) at desired levels, and at the same time to increase the cardiac output (CO).This ACS simulation consists of 3 parts: the system model (SM), the identifier (ID), and the explicit multivariable self-turning controller (MSC). The SM is a 2-input 2-output bilinear model with nonwhite system noise. The variable ID is capable of estimating the variable onset delay model (BNVD). The ID is capable of estimating the variable onset delay online by compressing the value in gaining the unbiased parameter estimation with an improved generalized least-squares (LS) algorithm. The MSC employs the minimum variance one-step-ahead control law. These three parts make a closed-loop control system successfully for heart disease patients during and after the operation.展开更多
LNGC ship is a special ship to transport liquefied natural gas under-163℃. Due to the high-risk characteristics of ultra-low temperature boiling point, flammable and explosive characteristics of LNGC ship, it has hig...LNGC ship is a special ship to transport liquefied natural gas under-163℃. Due to the high-risk characteristics of ultra-low temperature boiling point, flammable and explosive characteristics of LNGC ship, it has high control and safety requirements for LNG ship. IAS (Integrated Automation System) as the core component of LNGC (Liquefied Natural Gas Carrier) ship, integrates various equipment systems, is the center of full ship monitoring, warning, control and recording, plays an important role. The EPKS system is a process automation system introduced by Honeywell, which provides a complete solution for all working conditions of LNGC ships. This paper introduces the IAS with the EPKS system as the LNGC, built on the super-fusion virtualization platform, realizes the simulation of various working conditions during the operation of the LNGC ship, and reflects its simulation data and control functions to the Mimic.展开更多
Objective:To develop a deep learning model to predict lymph node(LN)status in clinical stage IA lung adeno-carcinoma patients.Methods:This diagnostic study included 1,009 patients with pathologically confirmed clinica...Objective:To develop a deep learning model to predict lymph node(LN)status in clinical stage IA lung adeno-carcinoma patients.Methods:This diagnostic study included 1,009 patients with pathologically confirmed clinical stage T1N0M0 lung adenocarcinoma from two independent datasets(699 from Cancer Hospital of Chinese Academy of Medical Sciences and 310 from PLA General Hospital)between January 2005 and December 2019.The Cancer Hospital dataset was randomly split into a training cohort(559 patients)and a validation cohort(140 patients)to train and tune a deep learning model based on a deep residual network(ResNet).The PLA Hospital dataset was used as a testing cohort to evaluate the generalization ability of the model.Thoracic radiologists manually segmented tumors and interpreted high-resolution computed tomography(HRCT)features for the model.The predictive performance was assessed by area under the curves(AUCs),accuracy,precision,recall,and F1 score.Subgroup analysis was performed to evaluate the potential bias of the study population.Results:A total of 1,009 patients were included in this study;409(40.5%)were male and 600(59.5%)were female.The median age was 57.0 years(inter-quartile range,IQR:50.0-64.0).The deep learning model achieved AUCs of 0.906(95%CI:0.873-0.938)and 0.893(95%CI:0.857-0.930)for predicting pN0 disease in the testing cohort and a non-pure ground glass nodule(non-pGGN)testing cohort,respectively.No significant difference was detected between the testing cohort and the non-pGGN testing cohort(P=0.622).The precisions of this model for predicting pN0 disease were 0.979(95%CI:0.963-0.995)and 0.983(95%CI:0.967-0.998)in the testing cohort and the non-pGGN testing cohort,respectively.The deep learning model achieved AUCs of 0.848(95%CI:0.798-0.898)and 0.831(95%CI:0.776-0.887)for predicting pN2 disease in the testing cohort and the non-pGGN testing cohort,respectively.No significant difference was detected between the testing cohort and the non-pGGN testing cohort(P=0.657).The recalls of this model for predicting pN2 disease were 0.903(95%CI:0.870-0.936)and 0.931(95%CI:0.901-0.961)in the testing cohort and the non-pGGN testing cohort,respectively.Conclusions:The superior performance of the deep learning model will help to target the extension of lymph node dissection and reduce the ineffective lymph node dissection in early-stage lung adenocarcinoma patients.展开更多
LEAFM ANIA的第二家店铺位于东京台东区(Taito Ward)CABO综合大楼的一层和二层。CABO综合大楼位于Yoyogi-Uehara车站旁,2023年刚建成,是一个集合了办公、住宅和娱乐设施于一体的多功能综合性大楼。LEAFM AN IA兼具零售、画廊和茶室双重...LEAFM ANIA的第二家店铺位于东京台东区(Taito Ward)CABO综合大楼的一层和二层。CABO综合大楼位于Yoyogi-Uehara车站旁,2023年刚建成,是一个集合了办公、住宅和娱乐设施于一体的多功能综合性大楼。LEAFM AN IA兼具零售、画廊和茶室双重功能,2层的结构为其分区提供了有利的条件,将动与静、冷清与热闹、分散与聚集自然地区分开来。展开更多
文摘本文以30Cr Mn Si A结构钢为研究对象,利用低温等离子体渗氮及低温渗氮-低温氧化复合技术对其进行表面改性研究,重点研究了氧化时间对渗氮30Cr Mn Si A钢表面组织结构和性能的影响。采用扫描电子显微镜、X射线衍射仪分析渗氮层及渗氮-氧化复合改性层的表面形貌、截面组织和相结构;利用维氏硬度计、摩擦磨损试验机和电化学工作站对渗氮层及复合改性层的硬度、耐磨性和耐蚀性进行评价。结果表明,渗氮层表面主要由ε-Fe_(23)N、γ'-Fe_(4)N和α_N相组成,经不同时间的氧化处理后,渗氮层表面生成Fe_(3)O_(4)相和Fe_(2)O_(3)相;随着氧化时间的延长,氧化物的含量增大,表面硬度增大,最大可达1012 HV_(0.05),改性层的有效硬化层厚度约为200μm;在防腐耐磨方面,渗氮层和渗氮-氧化复合改性层的耐磨性和耐蚀性均显著提高,且短时间氧化的复合改性层具有更好的耐磨性和耐蚀性。
基金financial support to setup “DST-FIST Level-Ⅱ Facility” [No. SR/ FST/ESII-014/2012(C)] at the Department of Applied Geology (AGL), IIT(ISM) Dhanbad, India
文摘Emerald mineralization from the Bahutiya and Gurabanda areas of Jharkhand in the eastern part of India is a recent discovery.In this deposit,emerald mineralization occurs along the contact zone between pegmatite and epidiorite-hornblende schist of the Dhanjori Group(2.1-2.9 Ga).Host rock petrographic characteristics,along with the spatial distribution of the emerald,suggest a metasomatic origin for the emerald mineralization in the study area.The well-developed emerald crystals are found along the S_(2)schistosity plane,suggesting lithological and structural control on the mineralization.Electron microprobe data of the emerald indicates that the green hue is primarily due to the variable chromium content and Be could have been derived from the soda-granite of the Singhbhum Shear Zone.The average Cr_(2)O_(3)and Cr concentration in the emerald is 0.038 wt%and 0.003 apfu,respectively.The ternary diagrams FeO-MgO-Cr_(2)O_(3)and FeO-Cr_(2)O_(3)-V_(2)O_(5)are plotted and superimposed on global emerald data,compiled from the literature,which shows the similarity of this deposit to other emerald deposits of the world.From the present study,it is inferred that the emerald deposits of Bahutiya and Gurabanda,Jharkhand,belong to the Type-IA category.
基金supported by the National Natural Science Foundation of China(32272416,31972147)Project of Tianjin Science and Technology Plan(22ZYJDSS00030).
文摘Herein,a novel label-free electrochemical immunosensor was fabricated via immobilizing specific anti-β-lactoglobulin(β-LG)antibodies(Abs)onto an integrated electrode of gold nanoparticles(AuNPs)/Prussian blue(PB)/cubic Ia3d structured mesoporous carbon(CMK-8).This immunosensor allowed for the quantitative detection of the major milk allergenβ-LG.CMK-8 with excellent electrical conductivity and uniformly adjustable pore structure was modified on the glassy carbon electrode(GCE)and served as the sensitive substrate for the electro-polymerization of PB,forming the redox-active layer.AuNPs were subsequently electrochemically deposited on PB/CMK-8/GCE to improve the electrical conductivity and utilized as the connector for Abs immobilization.Duringβ-LG detection,the Abs-modified AuNPs/PB/CMK-8/GCE exhibited a significant reduction in differential pulse voltammetry current signal when exposed toβ-LG,displaying an inverse dose-dependent relationship.The developed electrochemical immunosensor demonstrated good detection performance forβ-LG,with a wider linear range of 0.01-100 ng/mL and a lower detection limit of 4.72 pg/mL.Meanwhile,the sensor exhibited remarkable repeatability,reproducibility,stability and anti-interference capabilities,which was further applied to detectβ-LG in dairy food,achieving satisfactory recoveries(89.2%-98.8%)and lower relative standard deviation(£3.1%).Therefore,this innovative electrochemical method for food allergen detection holds great potential application in food safety determination and evaluation.
文摘This paper presents modeling and simulation of a multi-input multi-output (MIMO) adaptive control system (ACS) for human arterial blood pressure (HABP) by multiple drug inputs -infusion speed (IS) control of inotropic agent (IA) and vasoactive agent (VA). The MIMO ACS is able to choose the most appropriate IS of IA and VA at good IS in order to maintain the aortic pressure (AOP) and central vain pressure (CAP) at desired levels, and at the same time to increase the cardiac output (CO).This ACS simulation consists of 3 parts: the system model (SM), the identifier (ID), and the explicit multivariable self-turning controller (MSC). The SM is a 2-input 2-output bilinear model with nonwhite system noise. The variable ID is capable of estimating the variable onset delay model (BNVD). The ID is capable of estimating the variable onset delay online by compressing the value in gaining the unbiased parameter estimation with an improved generalized least-squares (LS) algorithm. The MSC employs the minimum variance one-step-ahead control law. These three parts make a closed-loop control system successfully for heart disease patients during and after the operation.
文摘LNGC ship is a special ship to transport liquefied natural gas under-163℃. Due to the high-risk characteristics of ultra-low temperature boiling point, flammable and explosive characteristics of LNGC ship, it has high control and safety requirements for LNG ship. IAS (Integrated Automation System) as the core component of LNGC (Liquefied Natural Gas Carrier) ship, integrates various equipment systems, is the center of full ship monitoring, warning, control and recording, plays an important role. The EPKS system is a process automation system introduced by Honeywell, which provides a complete solution for all working conditions of LNGC ships. This paper introduces the IAS with the EPKS system as the LNGC, built on the super-fusion virtualization platform, realizes the simulation of various working conditions during the operation of the LNGC ship, and reflects its simulation data and control functions to the Mimic.
基金supported by the National Key R&D Program of China(grant numbers:2020AAA0109504,2023YFC2415200)CAMS Innovation Fund for Medical Sciences(grant number:2021-I2M-C&T-B-061)+5 种基金Beijing Hope Run Special Fund of Cancer Foundation of China(grant number:LC2022A22)the National Natural Science Foundation of China(grant numbers:81971619,81971580,92259302,82372053,91959205,82361168664,82022036,81971776)Beijing Natural Sci-ence Foundation(grant number:Z20J00105)Key-Area Research and Development Program of Guangdong Province(grant number:2021B0101420005)Strategic Priority Research Program of Chinese Academy of Sciences(grant number:XDB38040200)the Youth In-novation Promotion Association CAS(grant number:Y2021049).
文摘Objective:To develop a deep learning model to predict lymph node(LN)status in clinical stage IA lung adeno-carcinoma patients.Methods:This diagnostic study included 1,009 patients with pathologically confirmed clinical stage T1N0M0 lung adenocarcinoma from two independent datasets(699 from Cancer Hospital of Chinese Academy of Medical Sciences and 310 from PLA General Hospital)between January 2005 and December 2019.The Cancer Hospital dataset was randomly split into a training cohort(559 patients)and a validation cohort(140 patients)to train and tune a deep learning model based on a deep residual network(ResNet).The PLA Hospital dataset was used as a testing cohort to evaluate the generalization ability of the model.Thoracic radiologists manually segmented tumors and interpreted high-resolution computed tomography(HRCT)features for the model.The predictive performance was assessed by area under the curves(AUCs),accuracy,precision,recall,and F1 score.Subgroup analysis was performed to evaluate the potential bias of the study population.Results:A total of 1,009 patients were included in this study;409(40.5%)were male and 600(59.5%)were female.The median age was 57.0 years(inter-quartile range,IQR:50.0-64.0).The deep learning model achieved AUCs of 0.906(95%CI:0.873-0.938)and 0.893(95%CI:0.857-0.930)for predicting pN0 disease in the testing cohort and a non-pure ground glass nodule(non-pGGN)testing cohort,respectively.No significant difference was detected between the testing cohort and the non-pGGN testing cohort(P=0.622).The precisions of this model for predicting pN0 disease were 0.979(95%CI:0.963-0.995)and 0.983(95%CI:0.967-0.998)in the testing cohort and the non-pGGN testing cohort,respectively.The deep learning model achieved AUCs of 0.848(95%CI:0.798-0.898)and 0.831(95%CI:0.776-0.887)for predicting pN2 disease in the testing cohort and the non-pGGN testing cohort,respectively.No significant difference was detected between the testing cohort and the non-pGGN testing cohort(P=0.657).The recalls of this model for predicting pN2 disease were 0.903(95%CI:0.870-0.936)and 0.931(95%CI:0.901-0.961)in the testing cohort and the non-pGGN testing cohort,respectively.Conclusions:The superior performance of the deep learning model will help to target the extension of lymph node dissection and reduce the ineffective lymph node dissection in early-stage lung adenocarcinoma patients.
文摘LEAFM ANIA的第二家店铺位于东京台东区(Taito Ward)CABO综合大楼的一层和二层。CABO综合大楼位于Yoyogi-Uehara车站旁,2023年刚建成,是一个集合了办公、住宅和娱乐设施于一体的多功能综合性大楼。LEAFM AN IA兼具零售、画廊和茶室双重功能,2层的结构为其分区提供了有利的条件,将动与静、冷清与热闹、分散与聚集自然地区分开来。
