Carbonaceous aerosol,including organic carbon(OC)and elemental carbon(EC),has significant influence on human health,air quality and climate change.Accurate measurement of carbonaceous aerosol is essential to reduce th...Carbonaceous aerosol,including organic carbon(OC)and elemental carbon(EC),has significant influence on human health,air quality and climate change.Accurate measurement of carbonaceous aerosol is essential to reduce the uncertainty of radiative forcing estimation and source apportionment.The accurate separation of OC and EC is controversial due to the charring of OC.Therefore,the development of reference materials(RM)for the validation of OC/EC separation is an important basis for further study.Previous RMs were mainly based on ambient air sampling,which could not provide traceability of OC and EC concentration.To develop traceable RMs with known OC/EC contents,our study applied an improved aerosol generation and mixing technique,providing uniform deposition of particles on quartz filters.To generate OC aerosol with similar pyrolytic property of ambient aerosol,both water soluble organic carbon(WSOC)and water insoluble organic carbon(WIOC)were used,and amorphous carbon was selected for EC surrogate.The RMs were analyzed using different protocols.The homogeneity within the filter was validated,reaching below 2%.The long-term stability of RMs has been validated with RSD ranged from 1.7%–3.2%.Good correlationwas observed between nominal concentration of RMswithmeasured concentration by two protocols,while the difference of EC concentration was within 20%.The results indicated that the newly developed RMs were acceptable for the calibration of OC and EC,which could improve the accuracy of carbonaceous aerosol measurement.Moreover,the laboratory-generated EC-RMs could be suitable for the calibration of equivalent BC concentration by Aethalometers.展开更多
With the popularity of the Internet of Vehicles(IoV),a large amount of data is being generated every day.How to securely share data between the IoV operator and various value-added service providers becomes one of the...With the popularity of the Internet of Vehicles(IoV),a large amount of data is being generated every day.How to securely share data between the IoV operator and various value-added service providers becomes one of the critical issues.Due to its flexible and efficient fine-grained access control feature,Ciphertext-Policy Attribute-Based Encryption(CP-ABE)is suitable for data sharing in IoV.However,there are many flaws in most existing CP-ABE schemes,such as attribute privacy leakage and key misuse.This paper proposes a Traceable and Revocable CP-ABE-based Data Sharing with Partially hidden policy for IoV(TRE-DSP).A partially hidden access structure is adopted to hide sensitive user attribute values,and attribute categories are sent along with the ciphertext to effectively avoid privacy exposure.In addition,key tracking and malicious user revocation are introduced with broadcast encryption to prevent key misuse.Since the main computation task is outsourced to the cloud,the burden of the user side is relatively low.Analysis of security and performance demonstrates that TRE-DSP is more secure and practical for data sharing in IoV.展开更多
Almond is widely cultivated in the world thanks to the quality and healthy features of the kernel.Almond kernel is consumed fresh or employed in the food industry.Hundreds of almond cultivars were selected throughout ...Almond is widely cultivated in the world thanks to the quality and healthy features of the kernel.Almond kernel is consumed fresh or employed in the food industry.Hundreds of almond cultivars were selected throughout the long history of cultivation;in this context,an efficient method for varietal identification is essential to ensure cultivar traceability along the chain.This study surveyed the widely employed commercial kits and protocols for DNA extraction from several almond matrices including leaves,kernels(fresh and roasted)and several processed products.Commercial kits(though with minor modification)outperformed the other extraction methods for the isolation of DNA suitable for molecular analysis from all the tested matrices.In parallel,a germplasm collection composed of 140 accessions(123 Sicilian genotypes complemented with widely known national and international cultivars)was genotyped with the AxiomTM60K almond SNP Array enabling the detection of 6374 unique SNPs that can be readily used for varietal traceability.A subset of unique SNPs was further validated employing a high-resolution melting(HRM)assay on a discovery panel encompassing ten of the most widely cultivated accessions.The DNA extracted from leaves and kernels of five cultivars was genotyped with eight SSRs allowing the identification of the maternal origin of each kernel.The paper integrates the survey of the widely employed protocols for DNA extraction with the high-throughput genotyping of 140 almond accessions.In this context,unique SNPs validated and optimized for an HRM assay and the availability of SSR markers demonstrated their efficacy in traceability analysis along the chain.展开更多
Objective To draw on the experience of the construction and development of drug traceability system in the USA and to provide reference for improving China’s drug traceability system.Methods Literature research and c...Objective To draw on the experience of the construction and development of drug traceability system in the USA and to provide reference for improving China’s drug traceability system.Methods Literature research and comparative study were used to sort out the background and development of drug traceability system in the USA,including drug traceability code,drug traceability model,drug traceability platform and the application of blockchain technology.On this basis,some suggestions on the construction of drug traceability system in China were put forward.Results and Conclusion The United States has a perfect system of laws and regulations on drug traceability,which encourages the construction of third-party traceability platforms to avoid the formation of monopolies.Besides,the application of blockchain technology in the construction of drug traceability system is also relatively mature.It is suggested that China strengthen the construction of drug traceability system,give play to the advantages of third-party traceability platforms,and improve the application of blockchain technology in drug traceability.展开更多
Multi-source errors,as critical obstacles limiting the accuracy retention and machining performance of machine tools,hold fundamental and strategic significance for achieving high-precision,high-efficiency,and high-re...Multi-source errors,as critical obstacles limiting the accuracy retention and machining performance of machine tools,hold fundamental and strategic significance for achieving high-precision,high-efficiency,and high-reliability machining in modern manufacturing systems.However,these errors typically exhibit complex characteristics such as strong coupling,time-variance,and nonlinearity,which challenge traditional methods of error identification,modeling,and compensation in terms of adaptability,real-time capability,and integration.Therefore,it is imperative to establish a systematic and intelligent multi-source error control framework.Firstly,this work systematically reviews typical error sources and their evolution mechanisms,evaluates multi-scale detection technologies including laser interferometry,double ball-bar systems,multi-sensor fusion,and vision-based systems,and constructs an intelligent error identification and evaluation framework.Next,it reviews classical modeling methods such as homogeneous transformation matrices,screw theory,thermal equilibrium models,finite element analysis,and modal analysis,compares physical modeling,data-driven,and hybrid modeling strategies,and develops an integrated multi-source error modeling architecture centered on digital twin technology and artificial intelligence.Furthermore,key technologies,including geometric error mapping and real-time compensation,online thermal error prediction and active temperature control,dynamic error suppression,and adaptive control,are summarized.A multi-level integrated error compensation architecture is proposed by combining physical models,data models,and cyber-physical synchronization.This architecture encompasses core processes such as error traceability and decoupling,dynamic prediction,real-time compensation,and closed-loop optimization,emphasizing engineering implementation mechanisms based on cyber-physical collaboration,multi-physics coupling,and multi-scale fusion,thereby effectively enhancing accuracy stability and control robustness under complex operating conditions.Finally,frontier challenges such as constructing high-fidelity coupled models from heterogeneous multi-source data,edge-cloud collaborative control,and cross-platform interoperability are discussed.The application prospects of multi-source error evaluation are also envisioned,providing theoretical foundations and technical support for the precise management and optimization of the entire lifecycle accuracy of machine tools.展开更多
China has rolled out an interim regulation on rare-earth mining,smelting and separation,requiring enterprises to establish a traceability system to record the flow of rare-earth products and upload the data every mont...China has rolled out an interim regulation on rare-earth mining,smelting and separation,requiring enterprises to establish a traceability system to record the flow of rare-earth products and upload the data every month to a government-run tracking platform.The regulation,jointly issued by the Ministry of Industry and Information Technology(MIIT),the National Development and Reform Commission(NDRC)and the Ministry of Natural Resources(MNR),is aimed at strengthening total volume control for rare-earth mining and processing,covering both domestic extraction,including rare-earth mineral products,and smelting of minerals obtained through mining,imports,or processing of other ores,such as monazite concentrates.展开更多
As the cornerstone of sterile instrument maintenance in endoscopy centers,the quality of endoscope cleaning directly impacts hospital infection control effectiveness.The traceability system for endoscopy centers utili...As the cornerstone of sterile instrument maintenance in endoscopy centers,the quality of endoscope cleaning directly impacts hospital infection control effectiveness.The traceability system for endoscopy centers utilizes digital means to document the entire cleaning process,enabling real-time monitoring and precise quality control.This paper analyzes current quality control practices in endoscope cleaning and addresses existing challenges.It explores how traceability systems standardize procedures,enhance monitoring,and improve management efficiency.The study proposes optimization strategies for traceability system implementation,clarifying its core value in endoscope cleaning quality control.These findings provide theoretical foundations and practical guidance for hospitals to refine management of endoscopy centers,ensure diagnostic safety,and reduce infection risks,ultimately advancing endoscope cleaning quality control toward standardized and informatized development.展开更多
基金supported by the National Natural Science Foundation of China(No.22206180)the funds for establishing basic quality and technology capabilities(No.ANL2203)the special fund for basic scientific research business of central public research institutes(No.AKYZD2207-4)。
摘要Carbonaceous aerosol,including organic carbon(OC)and elemental carbon(EC),has significant influence on human health,air quality and climate change.Accurate measurement of carbonaceous aerosol is essential to reduce the uncertainty of radiative forcing estimation and source apportionment.The accurate separation of OC and EC is controversial due to the charring of OC.Therefore,the development of reference materials(RM)for the validation of OC/EC separation is an important basis for further study.Previous RMs were mainly based on ambient air sampling,which could not provide traceability of OC and EC concentration.To develop traceable RMs with known OC/EC contents,our study applied an improved aerosol generation and mixing technique,providing uniform deposition of particles on quartz filters.To generate OC aerosol with similar pyrolytic property of ambient aerosol,both water soluble organic carbon(WSOC)and water insoluble organic carbon(WIOC)were used,and amorphous carbon was selected for EC surrogate.The RMs were analyzed using different protocols.The homogeneity within the filter was validated,reaching below 2%.The long-term stability of RMs has been validated with RSD ranged from 1.7%–3.2%.Good correlationwas observed between nominal concentration of RMswithmeasured concentration by two protocols,while the difference of EC concentration was within 20%.The results indicated that the newly developed RMs were acceptable for the calibration of OC and EC,which could improve the accuracy of carbonaceous aerosol measurement.Moreover,the laboratory-generated EC-RMs could be suitable for the calibration of equivalent BC concentration by Aethalometers.
基金supported by the National Natural Science Foundation of China(No.62272076)。
摘要With the popularity of the Internet of Vehicles(IoV),a large amount of data is being generated every day.How to securely share data between the IoV operator and various value-added service providers becomes one of the critical issues.Due to its flexible and efficient fine-grained access control feature,Ciphertext-Policy Attribute-Based Encryption(CP-ABE)is suitable for data sharing in IoV.However,there are many flaws in most existing CP-ABE schemes,such as attribute privacy leakage and key misuse.This paper proposes a Traceable and Revocable CP-ABE-based Data Sharing with Partially hidden policy for IoV(TRE-DSP).A partially hidden access structure is adopted to hide sensitive user attribute values,and attribute categories are sent along with the ciphertext to effectively avoid privacy exposure.In addition,key tracking and malicious user revocation are introduced with broadcast encryption to prevent key misuse.Since the main computation task is outsourced to the cloud,the burden of the user side is relatively low.Analysis of security and performance demonstrates that TRE-DSP is more secure and practical for data sharing in IoV.
基金the PRIMA project:MEDPOMESTONE(Grant No.23A01284).
摘要Almond is widely cultivated in the world thanks to the quality and healthy features of the kernel.Almond kernel is consumed fresh or employed in the food industry.Hundreds of almond cultivars were selected throughout the long history of cultivation;in this context,an efficient method for varietal identification is essential to ensure cultivar traceability along the chain.This study surveyed the widely employed commercial kits and protocols for DNA extraction from several almond matrices including leaves,kernels(fresh and roasted)and several processed products.Commercial kits(though with minor modification)outperformed the other extraction methods for the isolation of DNA suitable for molecular analysis from all the tested matrices.In parallel,a germplasm collection composed of 140 accessions(123 Sicilian genotypes complemented with widely known national and international cultivars)was genotyped with the AxiomTM60K almond SNP Array enabling the detection of 6374 unique SNPs that can be readily used for varietal traceability.A subset of unique SNPs was further validated employing a high-resolution melting(HRM)assay on a discovery panel encompassing ten of the most widely cultivated accessions.The DNA extracted from leaves and kernels of five cultivars was genotyped with eight SSRs allowing the identification of the maternal origin of each kernel.The paper integrates the survey of the widely employed protocols for DNA extraction with the high-throughput genotyping of 140 almond accessions.In this context,unique SNPs validated and optimized for an HRM assay and the availability of SSR markers demonstrated their efficacy in traceability analysis along the chain.
摘要Objective To draw on the experience of the construction and development of drug traceability system in the USA and to provide reference for improving China’s drug traceability system.Methods Literature research and comparative study were used to sort out the background and development of drug traceability system in the USA,including drug traceability code,drug traceability model,drug traceability platform and the application of blockchain technology.On this basis,some suggestions on the construction of drug traceability system in China were put forward.Results and Conclusion The United States has a perfect system of laws and regulations on drug traceability,which encourages the construction of third-party traceability platforms to avoid the formation of monopolies.Besides,the application of blockchain technology in the construction of drug traceability system is also relatively mature.It is suggested that China strengthen the construction of drug traceability system,give play to the advantages of third-party traceability platforms,and improve the application of blockchain technology in drug traceability.
基金financially supported by National Natural Science Foundation of China(Grant Nos.52375447,52305477 and 52105457)the Shandong Provincial Natural Science Foundation of China(Grant Nos.ZR2023QE057,ZR2024QE100 and ZR2024ME255)+2 种基金the Shandong Provincial Science and Technology SMEs Innovation Capacity Improvement Project(Grant No.2024TSGC0239)the Special Fund of Taishan Scholars Project,the Shandong Province Youth Science and Technology Talent Support Project(Grant No.SDAST2024QTA043)the Open Funding of Key Lab of Industrial Fluid Energy Conservation and Pollution Control,Ministry of Education(Grant Nos.CK-2024-0031,CK-2024-0035 and CK-2024-0036).
摘要Multi-source errors,as critical obstacles limiting the accuracy retention and machining performance of machine tools,hold fundamental and strategic significance for achieving high-precision,high-efficiency,and high-reliability machining in modern manufacturing systems.However,these errors typically exhibit complex characteristics such as strong coupling,time-variance,and nonlinearity,which challenge traditional methods of error identification,modeling,and compensation in terms of adaptability,real-time capability,and integration.Therefore,it is imperative to establish a systematic and intelligent multi-source error control framework.Firstly,this work systematically reviews typical error sources and their evolution mechanisms,evaluates multi-scale detection technologies including laser interferometry,double ball-bar systems,multi-sensor fusion,and vision-based systems,and constructs an intelligent error identification and evaluation framework.Next,it reviews classical modeling methods such as homogeneous transformation matrices,screw theory,thermal equilibrium models,finite element analysis,and modal analysis,compares physical modeling,data-driven,and hybrid modeling strategies,and develops an integrated multi-source error modeling architecture centered on digital twin technology and artificial intelligence.Furthermore,key technologies,including geometric error mapping and real-time compensation,online thermal error prediction and active temperature control,dynamic error suppression,and adaptive control,are summarized.A multi-level integrated error compensation architecture is proposed by combining physical models,data models,and cyber-physical synchronization.This architecture encompasses core processes such as error traceability and decoupling,dynamic prediction,real-time compensation,and closed-loop optimization,emphasizing engineering implementation mechanisms based on cyber-physical collaboration,multi-physics coupling,and multi-scale fusion,thereby effectively enhancing accuracy stability and control robustness under complex operating conditions.Finally,frontier challenges such as constructing high-fidelity coupled models from heterogeneous multi-source data,edge-cloud collaborative control,and cross-platform interoperability are discussed.The application prospects of multi-source error evaluation are also envisioned,providing theoretical foundations and technical support for the precise management and optimization of the entire lifecycle accuracy of machine tools.
摘要China has rolled out an interim regulation on rare-earth mining,smelting and separation,requiring enterprises to establish a traceability system to record the flow of rare-earth products and upload the data every month to a government-run tracking platform.The regulation,jointly issued by the Ministry of Industry and Information Technology(MIIT),the National Development and Reform Commission(NDRC)and the Ministry of Natural Resources(MNR),is aimed at strengthening total volume control for rare-earth mining and processing,covering both domestic extraction,including rare-earth mineral products,and smelting of minerals obtained through mining,imports,or processing of other ores,such as monazite concentrates.
摘要As the cornerstone of sterile instrument maintenance in endoscopy centers,the quality of endoscope cleaning directly impacts hospital infection control effectiveness.The traceability system for endoscopy centers utilizes digital means to document the entire cleaning process,enabling real-time monitoring and precise quality control.This paper analyzes current quality control practices in endoscope cleaning and addresses existing challenges.It explores how traceability systems standardize procedures,enhance monitoring,and improve management efficiency.The study proposes optimization strategies for traceability system implementation,clarifying its core value in endoscope cleaning quality control.These findings provide theoretical foundations and practical guidance for hospitals to refine management of endoscopy centers,ensure diagnostic safety,and reduce infection risks,ultimately advancing endoscope cleaning quality control toward standardized and informatized development.