According to the investigation data from 81 edible agricultural products enterprises in Sichuan Province,the influence factors of establishing quality tracing system are empirically analyzed from four aspects,includin...According to the investigation data from 81 edible agricultural products enterprises in Sichuan Province,the influence factors of establishing quality tracing system are empirically analyzed from four aspects,including the enterprise features,the attitudes of operators,management and market competition by using the Logistic model.The results show that the enterprise can establish the quality tracing system after the comprehensive function of a series of internal and external factors.The four factors include peer pressure;age of enterprise;export and the expectation on improving economic interests have the biggest impact on enterprise to establish the quality tracing system.The factors,including the quality safety certificate obtained by the enterprises,export of products,sampling frequency,peer pressure,the pressure from consumers and media,the expectation on improving the competition of products,the expectation on improving economic interests,play a promotion role in helping enterprises to establish quality tracing system.The countermeasures and suggestion are put forward from strengthening the social responsibility of enterprises;intensifying the law enforcement of government and expanding the experimental enterprises with the quality tracing system.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
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
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
Xiong and Liu[21]gave a characterization of the graphs G for which the n-iterated line graph L^(n)(G)is hamiltonian,for n≥2.In this paper,we study the existence of a hamiltonian path in L^(n)(G),and give a characteri...Xiong and Liu[21]gave a characterization of the graphs G for which the n-iterated line graph L^(n)(G)is hamiltonian,for n≥2.In this paper,we study the existence of a hamiltonian path in L^(n)(G),and give a characterization of G for which L^(n)(G)has a hamiltonian path.As applications,we use this characterization to give several upper bounds on the hamiltonian path index of a graph.展开更多
In this paper,we give some sufficient conditions for a graph to be traceable in terms of its order and size.As applications,the normalized Laplacian spectral conditions for a graph to be traceable are established.
[Objective] To establish the traceability mechanism of agricultural products safety, and the application of promote domestic based software in the supervision area of agricultural products quality and safety. [Method]...[Objective] To establish the traceability mechanism of agricultural products safety, and the application of promote domestic based software in the supervision area of agricultural products quality and safety. [Method] Through the analysis on the circulation characteristics of agricultural products, like fruits, vegetables, livestock and poultry, the agricultural products quality safety management and traceability query business component libraries were designed. Based on the run-time-supporting environment provided by domestic based software, traceability management system of agricultural products quality and safety was constructed. [Result] The traceability management system provided the information interaction and comprehensive management platform of agricultural product quality and safety based on domestic based software for the government, enterprises and consumers. [Conclusion] Through the application demonstration, the quality control and information traceability of full circulation of agricultural products was achieved effective and reliably, and the management level of agricultural products quality and safety was improved.展开更多
With the rapid advancement of visual generative models such as Generative Adversarial Networks(GANs)and stable Diffusion,the creation of highly realistic Deepfake through automated forgery has significantly progressed...With the rapid advancement of visual generative models such as Generative Adversarial Networks(GANs)and stable Diffusion,the creation of highly realistic Deepfake through automated forgery has significantly progressed.This paper examines the advancements inDeepfake detection and defense technologies,emphasizing the shift from passive detection methods to proactive digital watermarking techniques.Passive detection methods,which involve extracting features from images or videos to identify forgeries,encounter challenges such as poor performance against unknown manipulation techniques and susceptibility to counter-forensic tactics.In contrast,proactive digital watermarking techniques embed specificmarkers into images or videos,facilitating real-time detection and traceability,thereby providing a preemptive defense againstDeepfake content.We offer a comprehensive analysis of digitalwatermarking-based forensic techniques,discussing their advantages over passivemethods and highlighting four key benefits:real-time detection,embedded defense,resistance to tampering,and provision of legal evidence.Additionally,the paper identifies gaps in the literature concerning proactive forensic techniques and suggests future research directions,including cross-domain watermarking and adaptive watermarking strategies.By systematically classifying and comparing existing techniques,this review aims to contribute valuable insights for the development of more effective proactive defense strategies in Deepfake forensics.展开更多
[Objective] In response to pig breeding stage characteristics,the research aimed to design the traceability system to realize the pig product marking which based on RFID technology. [Method] The antenna＇s design meth...[Objective] In response to pig breeding stage characteristics,the research aimed to design the traceability system to realize the pig product marking which based on RFID technology. [Method] The antenna＇s design method of electronic tag and reader antenna were expounded and different antennas were used for testing communication test of RFID system. [Result] When the parameter setup such as data transportation ratio was same,the communication distance of external antenna was farther than RCB antenna; compare with three external antennas,the communication distance of coaxial antenna and wall-hanged antenna were farther. In 500 kbps transfer rate,communication distance was within 28 meters,and in 250 kbps transfer rate,communication distance was within 40 meters. Considered the cost of hardware,the price of wall-hanged antenna was higher than coaxial antenna,so in the same communication distance request,system selected coaxial antenna. [Conclusion] During the pig breeding stage,by dint of electronic tag and reader designed by the research could improve the safety of the pork and fully realize the track of source of food and provide technology support for the transparent management of food safety.展开更多
It is the key to construct the traceability mechanism of quality responsibility for ensuring the quality and safety of animal products. In this study, after defining the concept of traceability system and analyzing it...It is the key to construct the traceability mechanism of quality responsibility for ensuring the quality and safety of animal products. In this study, after defining the concept of traceability system and analyzing its function mechanism, the design ideas of pork quality and safety traceability system based on bar code and Internet were put forward, including network structure, system process, business process and information identifica- tion. Then the relevant management systems were proposed.展开更多
The group fuzzy extractor allows group users to extract and reproduce group cryptographic keys from their individual non-uniform random sources. It can be easily used in group-oriented cryptographic applications. Howe...The group fuzzy extractor allows group users to extract and reproduce group cryptographic keys from their individual non-uniform random sources. It can be easily used in group-oriented cryptographic applications. However, current group fuzzy extractors are not dynamic, i.e. they spend a large cost when dealing with user revocation. In this work, we propose the formal defnition and construction of dynamic group fuzzy extractor (DGFE) to address this issue. For the revocation, DGFE allows unrevoked group users to reproduce updated group keys from the existing group help data. Meanwhile, it prevents any revoked group user from generating new group keys using the previously authorized individual help data. We propose a DGFE construction based on the revocable group signature. Further-more,we give formal proofs of reusability, anonymity and traceability of our construction.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 Axiom^(TM)60K 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
With the rapid adoption of artificial intelligence(AI)in domains such as power,transportation,and finance,the number of machine learning and deep learning models has grown exponentially.However,challenges such as dela...With the rapid adoption of artificial intelligence(AI)in domains such as power,transportation,and finance,the number of machine learning and deep learning models has grown exponentially.However,challenges such as delayed retraining,inconsistent version management,insufficient drift monitoring,and limited data security still hinder efficient and reliable model operations.To address these issues,this paper proposes the Intelligent Model Lifecycle Management Algorithm(IMLMA).The algorithm employs a dual-trigger mechanism based on both data volume thresholds and time intervals to automate retraining,and applies Bayesian optimization for adaptive hyperparameter tuning to improve performance.A multi-metric replacement strategy,incorporating MSE,MAE,and R2,ensures that new models replace existing ones only when performance improvements are guaranteed.A versioning and traceability database supports comparison and visualization,while real-time monitoring with stability analysis enables early warnings of latency and drift.Finally,hash-based integrity checks secure both model files and datasets.Experimental validation in a power metering operation scenario demonstrates that IMLMA reduces model update delays,enhances predictive accuracy and stability,and maintains low latency under high concurrency.This work provides a practical,reusable,and scalable solution for intelligent model lifecycle management,with broad applicability to complex systems such as smart grids.展开更多
A strategy combining a tailored database and high-throughput activity screening that discover bioactive metabolites derived from Magnoliae Officinalis Cortex(MOC)was developed and implemented to rapidly profile and di...A strategy combining a tailored database and high-throughput activity screening that discover bioactive metabolites derived from Magnoliae Officinalis Cortex(MOC)was developed and implemented to rapidly profile and discover bioactive metabolites in vivo derived from traditional Chinese medicine(TCM).The strategy possessed four characteristics:1)The tailored database consisted of metabolites derived from big data-originated reference compound,metabolites predicted in silico,and MOC chemical profile-based pseudomolecular ions.2)When profiling MOC-derived metabolites in vivo,attentions were paid not only to prototypes of MOC compounds and metabolites directly derived from MOC compounds,as reported by most papers,but also to isomerized metabolites and the degradation products of MOC compounds as well as their derived metabolites.3)Metabolite traceability was performed,especially to distinguish isomeric prototypes-derived metabolites,prototypes of MOC compounds as well as phase I metabolites derived from other MOC compounds.4)Molecular docking was utilized for high-throughput activity screening and molecular dynamic simulation as well as zebrafish model were used for verification.Using this strategy,134 metabolites were swiftly characterized after the oral administration of MOC to rats,and several metabolites were reported for the first time.Furthermore,17 potential active metabolites were discovered by targeting the motilin,dopamine D2,and the serotonin type 4(5-HT4)receptors,and part bioactivities were verified using molecular dynamic simulation and a zebrafish constipation model.This study extends the application of mass spectrometry(MS)to rapidly profile TCM-derived metabolites in vivo,which will help pharmacologists rapidly discover potent metabolites from a complex matrix.展开更多
With the proliferation of Android malware,the issue of traceability in malware analysis has emerged as a significant problem that requires exploration.By establishing links between newly discovered,unreported malware ...With the proliferation of Android malware,the issue of traceability in malware analysis has emerged as a significant problem that requires exploration.By establishing links between newly discovered,unreported malware and prior knowledge from existing malware data pools,security analysts can gain a better understanding of the evolution process of malware and its underlying reasons.However,in real-world scenarios,analyzing the traceability of malware can be complex and time-consuming due to the large volume of existing malware data,requiring extensive manual analysis.Furthermore,the results obtained from such analysis often lack explanation.Therefore,there is a pressing need to develop a comprehensive automated malware tracking system that can provide detailed insights into the tracking and evolution process of malware and offer strong explanatory capabilities.In this paper,we propose a knowledge graph-based approach that uses partial API call graphs comprising semantic and behavioral features to reveal the traceability relations among malware and provide explainable results for these relations.Our approach is implemented on a dataset of over 20,000 malware samples labeled with family information,spanning a time period of 10 years.To address the challenges associated with the complexity of analysis,we leverage prior knowledge from existing malware research and a branch pruning method on call graphs to reduce computational complexity and enhance the precision of explanations when determining traceability relations.展开更多
Under the twin transitions of decarbonization and digitalization,global apparel trade is shifting from speed-and cost-based competition toward speed with verifable green compliance.This paper integrates Institutional ...Under the twin transitions of decarbonization and digitalization,global apparel trade is shifting from speed-and cost-based competition toward speed with verifable green compliance.This paper integrates Institutional Theory and Transaction Cost Theory to explain how external regulatory and normative pressures are operationalized through digital infrastructures.We argue that IoT-enabled MRV,blockchain traceability,and Digital Product Passports reduce information asymmetry,measurement burdens,and enforcement costs across fragmented apparel value chains.Using mixed methods—bibliometric mapping and comparative regional cases(China ASEAN,China Central Asia,and the Greater Bay Area)—the study identifes differentiated implementation pathways driven by rules,technology,and market-platform innovation.Policy implications emphasize inclusive digital infrastructure,cross-border carbon data governance,and interoperable standard recognition.展开更多
Atom lithography with chromium can be utilized to fabricate a pitch standard, which is chrectly traceable to me wavelength of the laser standing waves. The result of a calibrated commercial AFM measurement demonstrate...Atom lithography with chromium can be utilized to fabricate a pitch standard, which is chrectly traceable to me wavelength of the laser standing waves. The result of a calibrated commercial AFM measurement demonstrates that the pitch standard is （212.8±0.1） nm with a peak-to-valley-height （PTVH） better than 20 nm. The measurement results show the high period accuracy of traceability with the standing laser wavelength （λ/2 = 212.78 nm）. The Cr nano-grating covers a 1000μm×500 μm area, with a PTVH better than 10 nm. The feature width broadening of the Cr nanostructure has been experimentally observed along the direction of the standing waves. The PTVH along the Gaussian laser direction is similar to a Gaussian distribution. Highly uniform periodic nanostructures with a big area at the millimeter scale, and the surface growth uniformity of the Cr nano-grating, show its great potential in the application of a traceable pitch standard at trans-scales.展开更多
The traceability system can effectively reduce the food safety risks, however, it is confronted with various problems during its implementation. In this context, the paper carries out a case study of consumers in Weif...The traceability system can effectively reduce the food safety risks, however, it is confronted with various problems during its implementation. In this context, the paper carries out a case study of consumers in Weifang, Shandong Province, and studies their willingness to pay the traceable pork with different quality information. The results indicate that, the consumers show high expectations towards the introduction of traceability system, and they tend to buy the traceable pork only with breeding and slaughter information; their behaviors of purchase are greatly influenced by the following factors: the consumers education, age, income, attention on food safety and whether there are pregnant family members, etc..展开更多
Traditional Chinese Medicine(TCM)is one of the most promising programs for disease prevention and treatment.Meanwhile,the quality of TCM has garnered much attention.To ensure the quality of TCM,many works are based on...Traditional Chinese Medicine(TCM)is one of the most promising programs for disease prevention and treatment.Meanwhile,the quality of TCM has garnered much attention.To ensure the quality of TCM,many works are based on the blockchain scheme to design the traceability scheme of TCM to trace its origin.Although these schemes can ensure the integrity,sharability,credibility,and immutability of TCM more effectively,many problems are exposed with the rapid growth of TCM data in blockchains,such as expensive overhead,performance bottlenecks,and the traditional blockchain architecture is unsuitable for TCM data with dynamic growth.Motivated by the aforementioned problems,we propose a novel and lightweight TCM traceability architecture based on the blockchain using sharding(LBS-TCM).Compared to the existing blockchain-based TCM traceability system,our architecture utilizes sharding to develop a novel traceability mechanism that supports more convenient traceability operations for TCM requirements such as uploading,querying,and downloading.Specifically,our architecture consists of a leader shard blockchain layer as its main component,which employs a sharding mechanism to conveniently TCM tracing.Empirical evaluations demonstrated that our architecture showed better performance in many aspects compared to traditional blockchain architectures,such as TCM transaction processing,TCM transaction querying,TCM uploading,etc.In our architecture,tracing TCM has become a very efficient operation,which ensures the quality of TCM and provides great convenience for subsequent TCM analysis and retrospective research.展开更多
基金Supported by National Philosophical Social Science Fund(09XJY-024)
文摘According to the investigation data from 81 edible agricultural products enterprises in Sichuan Province,the influence factors of establishing quality tracing system are empirically analyzed from four aspects,including the enterprise features,the attitudes of operators,management and market competition by using the Logistic model.The results show that the enterprise can establish the quality tracing system after the comprehensive function of a series of internal and external factors.The four factors include peer pressure;age of enterprise;export and the expectation on improving economic interests have the biggest impact on enterprise to establish the quality tracing system.The factors,including the quality safety certificate obtained by the enterprises,export of products,sampling frequency,peer pressure,the pressure from consumers and media,the expectation on improving the competition of products,the expectation on improving economic interests,play a promotion role in helping enterprises to establish quality tracing system.The countermeasures and suggestion are put forward from strengthening the social responsibility of enterprises;intensifying the law enforcement of government and expanding the experimental enterprises with the quality tracing system.
文摘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)。
文摘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)。
文摘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.
文摘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.
基金Supported by the Natural Science Foundation of China(12131013,12371356)the special fund for Science and Technology Innovation Teams of Shanxi Province(202204051002015)the Fundamental Research Program of Shanxi Province(202303021221064).
文摘Xiong and Liu[21]gave a characterization of the graphs G for which the n-iterated line graph L^(n)(G)is hamiltonian,for n≥2.In this paper,we study the existence of a hamiltonian path in L^(n)(G),and give a characterization of G for which L^(n)(G)has a hamiltonian path.As applications,we use this characterization to give several upper bounds on the hamiltonian path index of a graph.
基金Supported by the National Natural Science Foundation of China(Grant Nos.11961041,12261055)the Natural Science Foundation of Gansu Province(Grant No.21JR11RA065)。
文摘In this paper,we give some sufficient conditions for a graph to be traceable in terms of its order and size.As applications,the normalized Laplacian spectral conditions for a graph to be traceable are established.
基金Supported by Common Chips and Basic Software Products(2010ZX01045-001-004-3)~~
文摘[Objective] To establish the traceability mechanism of agricultural products safety, and the application of promote domestic based software in the supervision area of agricultural products quality and safety. [Method] Through the analysis on the circulation characteristics of agricultural products, like fruits, vegetables, livestock and poultry, the agricultural products quality safety management and traceability query business component libraries were designed. Based on the run-time-supporting environment provided by domestic based software, traceability management system of agricultural products quality and safety was constructed. [Result] The traceability management system provided the information interaction and comprehensive management platform of agricultural product quality and safety based on domestic based software for the government, enterprises and consumers. [Conclusion] Through the application demonstration, the quality control and information traceability of full circulation of agricultural products was achieved effective and reliably, and the management level of agricultural products quality and safety was improved.
基金supported by the National Fund Cultivation Project from China People’s Police University(Grant Number:JJPY202402)National Natural Science Foundation of China(Grant Number:62172165).
文摘With the rapid advancement of visual generative models such as Generative Adversarial Networks(GANs)and stable Diffusion,the creation of highly realistic Deepfake through automated forgery has significantly progressed.This paper examines the advancements inDeepfake detection and defense technologies,emphasizing the shift from passive detection methods to proactive digital watermarking techniques.Passive detection methods,which involve extracting features from images or videos to identify forgeries,encounter challenges such as poor performance against unknown manipulation techniques and susceptibility to counter-forensic tactics.In contrast,proactive digital watermarking techniques embed specificmarkers into images or videos,facilitating real-time detection and traceability,thereby providing a preemptive defense againstDeepfake content.We offer a comprehensive analysis of digitalwatermarking-based forensic techniques,discussing their advantages over passivemethods and highlighting four key benefits:real-time detection,embedded defense,resistance to tampering,and provision of legal evidence.Additionally,the paper identifies gaps in the literature concerning proactive forensic techniques and suggests future research directions,including cross-domain watermarking and adaptive watermarking strategies.By systematically classifying and comparing existing techniques,this review aims to contribute valuable insights for the development of more effective proactive defense strategies in Deepfake forensics.
基金Supported by National Science and Technology Support Plan Subtopic (No. 2006BAD14B04)Yunnan Province Agriculture Science and Technology Innovation Project (2008LA020)~~
文摘[Objective] In response to pig breeding stage characteristics,the research aimed to design the traceability system to realize the pig product marking which based on RFID technology. [Method] The antenna＇s design method of electronic tag and reader antenna were expounded and different antennas were used for testing communication test of RFID system. [Result] When the parameter setup such as data transportation ratio was same,the communication distance of external antenna was farther than RCB antenna; compare with three external antennas,the communication distance of coaxial antenna and wall-hanged antenna were farther. In 500 kbps transfer rate,communication distance was within 28 meters,and in 250 kbps transfer rate,communication distance was within 40 meters. Considered the cost of hardware,the price of wall-hanged antenna was higher than coaxial antenna,so in the same communication distance request,system selected coaxial antenna. [Conclusion] During the pig breeding stage,by dint of electronic tag and reader designed by the research could improve the safety of the pork and fully realize the track of source of food and provide technology support for the transparent management of food safety.
文摘It is the key to construct the traceability mechanism of quality responsibility for ensuring the quality and safety of animal products. In this study, after defining the concept of traceability system and analyzing its function mechanism, the design ideas of pork quality and safety traceability system based on bar code and Internet were put forward, including network structure, system process, business process and information identifica- tion. Then the relevant management systems were proposed.
文摘The group fuzzy extractor allows group users to extract and reproduce group cryptographic keys from their individual non-uniform random sources. It can be easily used in group-oriented cryptographic applications. However, current group fuzzy extractors are not dynamic, i.e. they spend a large cost when dealing with user revocation. In this work, we propose the formal defnition and construction of dynamic group fuzzy extractor (DGFE) to address this issue. For the revocation, DGFE allows unrevoked group users to reproduce updated group keys from the existing group help data. Meanwhile, it prevents any revoked group user from generating new group keys using the previously authorized individual help data. We propose a DGFE construction based on the revocable group signature. Further-more,we give formal proofs of reusability, anonymity and traceability of our construction.
基金the PRIMA project:MEDPOMESTONE(Grant No.23A01284).
文摘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 Axiom^(TM)60K 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.
基金funded by Anhui NARI ZT Electric Co.,Ltd.,entitled“Research on the Shared Operation and Maintenance Service Model for Metering Equipment and Platform Development for the Modern Industrial Chain”(Grant No.524636250005).
文摘With the rapid adoption of artificial intelligence(AI)in domains such as power,transportation,and finance,the number of machine learning and deep learning models has grown exponentially.However,challenges such as delayed retraining,inconsistent version management,insufficient drift monitoring,and limited data security still hinder efficient and reliable model operations.To address these issues,this paper proposes the Intelligent Model Lifecycle Management Algorithm(IMLMA).The algorithm employs a dual-trigger mechanism based on both data volume thresholds and time intervals to automate retraining,and applies Bayesian optimization for adaptive hyperparameter tuning to improve performance.A multi-metric replacement strategy,incorporating MSE,MAE,and R2,ensures that new models replace existing ones only when performance improvements are guaranteed.A versioning and traceability database supports comparison and visualization,while real-time monitoring with stability analysis enables early warnings of latency and drift.Finally,hash-based integrity checks secure both model files and datasets.Experimental validation in a power metering operation scenario demonstrates that IMLMA reduces model update delays,enhances predictive accuracy and stability,and maintains low latency under high concurrency.This work provides a practical,reusable,and scalable solution for intelligent model lifecycle management,with broad applicability to complex systems such as smart grids.
基金supported by the Scientific and Technological Innovation Project of China Academy of Chinese Medical Sciences,China(Grant Nos.:CI2023E002 and CI2021A04513)the National Natural Science Foundation of China(Grant Nos.:82204619 and 82274094)the Fundamental Research Funds for the Central Public Welfare Research Institutes,China(Grant Nos.:ZZ15-YQ-067 and ZZ16-ND-10-26).
文摘A strategy combining a tailored database and high-throughput activity screening that discover bioactive metabolites derived from Magnoliae Officinalis Cortex(MOC)was developed and implemented to rapidly profile and discover bioactive metabolites in vivo derived from traditional Chinese medicine(TCM).The strategy possessed four characteristics:1)The tailored database consisted of metabolites derived from big data-originated reference compound,metabolites predicted in silico,and MOC chemical profile-based pseudomolecular ions.2)When profiling MOC-derived metabolites in vivo,attentions were paid not only to prototypes of MOC compounds and metabolites directly derived from MOC compounds,as reported by most papers,but also to isomerized metabolites and the degradation products of MOC compounds as well as their derived metabolites.3)Metabolite traceability was performed,especially to distinguish isomeric prototypes-derived metabolites,prototypes of MOC compounds as well as phase I metabolites derived from other MOC compounds.4)Molecular docking was utilized for high-throughput activity screening and molecular dynamic simulation as well as zebrafish model were used for verification.Using this strategy,134 metabolites were swiftly characterized after the oral administration of MOC to rats,and several metabolites were reported for the first time.Furthermore,17 potential active metabolites were discovered by targeting the motilin,dopamine D2,and the serotonin type 4(5-HT4)receptors,and part bioactivities were verified using molecular dynamic simulation and a zebrafish constipation model.This study extends the application of mass spectrometry(MS)to rapidly profile TCM-derived metabolites in vivo,which will help pharmacologists rapidly discover potent metabolites from a complex matrix.
文摘With the proliferation of Android malware,the issue of traceability in malware analysis has emerged as a significant problem that requires exploration.By establishing links between newly discovered,unreported malware and prior knowledge from existing malware data pools,security analysts can gain a better understanding of the evolution process of malware and its underlying reasons.However,in real-world scenarios,analyzing the traceability of malware can be complex and time-consuming due to the large volume of existing malware data,requiring extensive manual analysis.Furthermore,the results obtained from such analysis often lack explanation.Therefore,there is a pressing need to develop a comprehensive automated malware tracking system that can provide detailed insights into the tracking and evolution process of malware and offer strong explanatory capabilities.In this paper,we propose a knowledge graph-based approach that uses partial API call graphs comprising semantic and behavioral features to reveal the traceability relations among malware and provide explainable results for these relations.Our approach is implemented on a dataset of over 20,000 malware samples labeled with family information,spanning a time period of 10 years.To address the challenges associated with the complexity of analysis,we leverage prior knowledge from existing malware research and a branch pruning method on call graphs to reduce computational complexity and enhance the precision of explanations when determining traceability relations.
文摘Under the twin transitions of decarbonization and digitalization,global apparel trade is shifting from speed-and cost-based competition toward speed with verifable green compliance.This paper integrates Institutional Theory and Transaction Cost Theory to explain how external regulatory and normative pressures are operationalized through digital infrastructures.We argue that IoT-enabled MRV,blockchain traceability,and Digital Product Passports reduce information asymmetry,measurement burdens,and enforcement costs across fragmented apparel value chains.Using mixed methods—bibliometric mapping and comparative regional cases(China ASEAN,China Central Asia,and the Greater Bay Area)—the study identifes differentiated implementation pathways driven by rules,technology,and market-platform innovation.Policy implications emphasize inclusive digital infrastructure,cross-border carbon data governance,and interoperable standard recognition.
基金supported by the Major Research Plan of the National Natural Science Foundation of China(Grant No.91123022)the Young Scientists Fund of the National Natural Science Foundation of China(Grant No.10804084)
文摘Atom lithography with chromium can be utilized to fabricate a pitch standard, which is chrectly traceable to me wavelength of the laser standing waves. The result of a calibrated commercial AFM measurement demonstrates that the pitch standard is （212.8±0.1） nm with a peak-to-valley-height （PTVH） better than 20 nm. The measurement results show the high period accuracy of traceability with the standing laser wavelength （λ/2 = 212.78 nm）. The Cr nano-grating covers a 1000μm×500 μm area, with a PTVH better than 10 nm. The feature width broadening of the Cr nanostructure has been experimentally observed along the direction of the standing waves. The PTVH along the Gaussian laser direction is similar to a Gaussian distribution. Highly uniform periodic nanostructures with a big area at the millimeter scale, and the surface growth uniformity of the Cr nano-grating, show its great potential in the application of a traceable pitch standard at trans-scales.
基金Supported by the Youth Project for Humanities and Social Sciences of Ministry of Education in 2012(12YJC630326 and 12XJJC790003)
文摘The traceability system can effectively reduce the food safety risks, however, it is confronted with various problems during its implementation. In this context, the paper carries out a case study of consumers in Weifang, Shandong Province, and studies their willingness to pay the traceable pork with different quality information. The results indicate that, the consumers show high expectations towards the introduction of traceability system, and they tend to buy the traceable pork only with breeding and slaughter information; their behaviors of purchase are greatly influenced by the following factors: the consumers education, age, income, attention on food safety and whether there are pregnant family members, etc..
基金supported by the research and innovation program for graduate students of the Guangzhou University of Traditional Chinese MedicineThis work is also partially supported by the National Key Research and Development Program of China(2019YFC1710402)the research on tracing TCM Electronic Medical Records Based on the Lightweight Blockchain of Guangdong Provincial Bureau of Traditional Chinese Medicine(20222045).
文摘Traditional Chinese Medicine(TCM)is one of the most promising programs for disease prevention and treatment.Meanwhile,the quality of TCM has garnered much attention.To ensure the quality of TCM,many works are based on the blockchain scheme to design the traceability scheme of TCM to trace its origin.Although these schemes can ensure the integrity,sharability,credibility,and immutability of TCM more effectively,many problems are exposed with the rapid growth of TCM data in blockchains,such as expensive overhead,performance bottlenecks,and the traditional blockchain architecture is unsuitable for TCM data with dynamic growth.Motivated by the aforementioned problems,we propose a novel and lightweight TCM traceability architecture based on the blockchain using sharding(LBS-TCM).Compared to the existing blockchain-based TCM traceability system,our architecture utilizes sharding to develop a novel traceability mechanism that supports more convenient traceability operations for TCM requirements such as uploading,querying,and downloading.Specifically,our architecture consists of a leader shard blockchain layer as its main component,which employs a sharding mechanism to conveniently TCM tracing.Empirical evaluations demonstrated that our architecture showed better performance in many aspects compared to traditional blockchain architectures,such as TCM transaction processing,TCM transaction querying,TCM uploading,etc.In our architecture,tracing TCM has become a very efficient operation,which ensures the quality of TCM and provides great convenience for subsequent TCM analysis and retrospective research.
