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
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
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
Textile production has received considerable attention owing to its significance in production value,the complexity of its manufacturing processes and the extensive reach of its supply chains.However,textile industry ...Textile production has received considerable attention owing to its significance in production value,the complexity of its manufacturing processes and the extensive reach of its supply chains.However,textile industry consumes substantial energy and materials and emits greenhouse gases that severely harm the environment.In addressing this challenge,the concept of sustainable production offers crucial guidance for the sustainable development of the textile industry.Low-carbon manufacturing technologies provide robust technical support for the textile industry to transition to a low-carbon model by optimizing production processes,enhancing energy efficiency and minimizing material waste.Consequently,low-carbon manufacturing technologies have gradually been implemented in sustainable textile production scenarios.However,while research on low-carbon manufacturing technologies for textile production has advanced,these studies predominantly concentrate on theoretical methods,with relatively limited exploration of practical applications.To address this gap,a thorough overview of carbon emission management methods and tools in textile production,as well as the characteristics and influencing factors of carbon emissions in key textile manufacturing processes is presented to identify common issues.Additionally,two new concepts,carbon knowledge graph and carbon traceability,are introduced,offering strategic recommendations and application directions for the low-carbon development of sustainable textile production.Beginning with seven key aspects of sustainable textile production,the characteristics of carbon emissions and their influencing factors in key textile manufacturing process are systematically summarized.The aim is to provide guidance and optimization strategies for future emission reduction efforts by exploring the carbon emission situations and influencing factors at each stage.Furthermore,the potential and challenges of carbon knowledge graph technology are summarized in achieving carbon traceability,and several research ideas and suggestions are proposed.展开更多
With the increasingly prominent problem of food safety,the quality traceability of characteristic agricultural products has become a pressing issue.This study focuses on the application of blockchain technology in the...With the increasingly prominent problem of food safety,the quality traceability of characteristic agricultural products has become a pressing issue.This study focuses on the application of blockchain technology in the traceability of characteristic agricultural products,aiming to explore its potential and practical value in improving the efficiency and transparency of the traceability system of agricultural products.Through the combination of case analysis and model construction,a blockchain-based traceability system for characteristic agricultural products was established.The results showed that the traceability system could effectively record the whole process information of agricultural products from production and processing to sales,and greatly improve the immutability and traceability of data.Lastly,this paper also points out that the use of blockchain technology can improve the market trust in characteristic agricultural products,provide consumers with authentic and reliable product information,and provide new technical means for the quality management of agricultural products.展开更多
Due to the diversity and unpredictability of changes in malicious code,studying the traceability of variant families remains challenging.In this paper,we propose a GAN-EfficientNetV2-based method for tracing families ...Due to the diversity and unpredictability of changes in malicious code,studying the traceability of variant families remains challenging.In this paper,we propose a GAN-EfficientNetV2-based method for tracing families of malicious code variants.This method leverages the similarity in layouts and textures between images of malicious code variants from the same source and their original family of malicious code images.The method includes a lightweight classifier and a simulator.The classifier utilizes the enhanced EfficientNetV2 to categorize malicious code images and can be easily deployed on mobile,embedded,and other devices.The simulator utilizes an enhanced generative adversarial network to simulate different variants of malicious code and generates datasets to validate the model’s performance.This process helps identify model vulnerabilities and security risks,facilitating model enhancement and development.The classifier achieves 98.61%and 97.59%accuracy on the MMCC dataset and Malevis dataset,respectively.The simulator’s generated image of malicious code variants has an FID value of 155.44 and an IS value of 1.72±0.42.The classifier’s accuracy for tracing the family of malicious code variants is as high as 90.29%,surpassing that of mainstream neural network models.This meets the current demand for high generalization and anti-obfuscation abilities in malicious code classification models due to the rapid evolution of malicious code.展开更多
Organic matter in sediment is an important carrier of energy and material circulation in ecosystems,and also provides an important place for the accumulation of nutrient salts.The study of its composition,structure an...Organic matter in sediment is an important carrier of energy and material circulation in ecosystems,and also provides an important place for the accumulation of nutrient salts.The study of its composition,structure and characteristics is of great importance for the study of the geochemical cycle of sediment in water environment.Identifying the source of organic matter in sediment and mastering its temporal and spatial distribution characteristics are important ways to reveal the migration and transformation law of pollutants,which is conducive to controlling nutrient load from the source and providing strong technical support for the fine management of water environment.展开更多
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.
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.
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Natural Science Foundation of Shanghai,China (No. 21ZR1400800)。
文摘Textile production has received considerable attention owing to its significance in production value,the complexity of its manufacturing processes and the extensive reach of its supply chains.However,textile industry consumes substantial energy and materials and emits greenhouse gases that severely harm the environment.In addressing this challenge,the concept of sustainable production offers crucial guidance for the sustainable development of the textile industry.Low-carbon manufacturing technologies provide robust technical support for the textile industry to transition to a low-carbon model by optimizing production processes,enhancing energy efficiency and minimizing material waste.Consequently,low-carbon manufacturing technologies have gradually been implemented in sustainable textile production scenarios.However,while research on low-carbon manufacturing technologies for textile production has advanced,these studies predominantly concentrate on theoretical methods,with relatively limited exploration of practical applications.To address this gap,a thorough overview of carbon emission management methods and tools in textile production,as well as the characteristics and influencing factors of carbon emissions in key textile manufacturing processes is presented to identify common issues.Additionally,two new concepts,carbon knowledge graph and carbon traceability,are introduced,offering strategic recommendations and application directions for the low-carbon development of sustainable textile production.Beginning with seven key aspects of sustainable textile production,the characteristics of carbon emissions and their influencing factors in key textile manufacturing process are systematically summarized.The aim is to provide guidance and optimization strategies for future emission reduction efforts by exploring the carbon emission situations and influencing factors at each stage.Furthermore,the potential and challenges of carbon knowledge graph technology are summarized in achieving carbon traceability,and several research ideas and suggestions are proposed.
文摘With the increasingly prominent problem of food safety,the quality traceability of characteristic agricultural products has become a pressing issue.This study focuses on the application of blockchain technology in the traceability of characteristic agricultural products,aiming to explore its potential and practical value in improving the efficiency and transparency of the traceability system of agricultural products.Through the combination of case analysis and model construction,a blockchain-based traceability system for characteristic agricultural products was established.The results showed that the traceability system could effectively record the whole process information of agricultural products from production and processing to sales,and greatly improve the immutability and traceability of data.Lastly,this paper also points out that the use of blockchain technology can improve the market trust in characteristic agricultural products,provide consumers with authentic and reliable product information,and provide new technical means for the quality management of agricultural products.
基金support this work is the Key Research and Development Program of Heilongjiang Province,specifically Grant Number 2023ZX02C10.
文摘Due to the diversity and unpredictability of changes in malicious code,studying the traceability of variant families remains challenging.In this paper,we propose a GAN-EfficientNetV2-based method for tracing families of malicious code variants.This method leverages the similarity in layouts and textures between images of malicious code variants from the same source and their original family of malicious code images.The method includes a lightweight classifier and a simulator.The classifier utilizes the enhanced EfficientNetV2 to categorize malicious code images and can be easily deployed on mobile,embedded,and other devices.The simulator utilizes an enhanced generative adversarial network to simulate different variants of malicious code and generates datasets to validate the model’s performance.This process helps identify model vulnerabilities and security risks,facilitating model enhancement and development.The classifier achieves 98.61%and 97.59%accuracy on the MMCC dataset and Malevis dataset,respectively.The simulator’s generated image of malicious code variants has an FID value of 155.44 and an IS value of 1.72±0.42.The classifier’s accuracy for tracing the family of malicious code variants is as high as 90.29%,surpassing that of mainstream neural network models.This meets the current demand for high generalization and anti-obfuscation abilities in malicious code classification models due to the rapid evolution of malicious code.
文摘Organic matter in sediment is an important carrier of energy and material circulation in ecosystems,and also provides an important place for the accumulation of nutrient salts.The study of its composition,structure and characteristics is of great importance for the study of the geochemical cycle of sediment in water environment.Identifying the source of organic matter in sediment and mastering its temporal and spatial distribution characteristics are important ways to reveal the migration and transformation law of pollutants,which is conducive to controlling nutrient load from the source and providing strong technical support for the fine management of water environment.
