Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Appli...Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.展开更多
Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Appli...Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.展开更多
Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Appli...Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.展开更多
This study introduces a lightweight deep learning model and a novel synthetic dataset designed to restore damaged one-dimensional(1D)barcodes and Quick Response(QR)codes,addressing critical challenges in logistics ope...This study introduces a lightweight deep learning model and a novel synthetic dataset designed to restore damaged one-dimensional(1D)barcodes and Quick Response(QR)codes,addressing critical challenges in logistics operations.The proposed solution leverages an efficient Pix2Pix-based framework,a type of conditional Generative Adversarial Network(GAN)optimized for image-to-image translation tasks,enabling the recovery of degraded barcodes and QR codes with minimal computational overhead.A core contribution of this work is the development of a synthetic dataset that simulates realistic damage scenarios frequently encountered in logistics environments,such as low contrast,misalignment,physical wear,and environmental interference.By training on this diverse and realistic dataset,the model demonstrates exceptional performance in restoring readability and decoding accuracy.The lightweight architecture,featuring a U-Net-based encoder-decoder with separable convolutions,ensures computational efficiency,making the approach suitable for real-time deployment on embedded and resource-constrained devices commonly used in logistics systems.Experimental results reveal significant improvements:QR code decoding ratios increased from 14%to 99%on training data and from 15%to 68%on validation data,while 1D barcode decoding ratios improved from 7%to 73%on training data and from 9%to 44%on validation data.By providing a robust,resource-efficient solution for restoring damaged barcodes and QR codes,this study offers practical advancements for enhancing the reliability of automated scanning systems in logistics operations,particularly under challenging conditions.展开更多
Against the backdrop of the deep integration of“AI+Education,”this study focuses on the translation teaching of Applied English in higher vocational colleges,aiming to address the practical challenges in current tea...Against the backdrop of the deep integration of“AI+Education,”this study focuses on the translation teaching of Applied English in higher vocational colleges,aiming to address the practical challenges in current teaching,such as the lag in AI application,the insufficient role transformation of teachers,and the weak digital literacy of students.By constructing an innovative“teacher-student-AI”interactive teaching model and a three-level process-oriented evaluation system,the research explores the practical path of AI-assisted translation teaching in pre-translation,in-translation,and post-translation stages.Through literature research,action research,and case analysis,the study summarizes standardized teaching templates for different professional scenarios and verifies the effectiveness of the teaching model.The results show that this reform can significantly improve students’digital literacy and autonomous learning ability,providing a replicable experience for AI-assisted teaching in higher vocational education and promoting the transformation of translation teaching from“knowledge acquisition”to“competence enhancement.”展开更多
With the global economic digital transformation advancing quickly,the supply chain management issues facing the world are increased variability in customer demand,greater complexity within the supply chain processes,a...With the global economic digital transformation advancing quickly,the supply chain management issues facing the world are increased variability in customer demand,greater complexity within the supply chain processes,and chronic inefficiency bottlenecks.The rapid maturation of artificial intelligence provides a new pathway for optimizing supply chain performance,fundamentally transforming the traditional management paradigm through data-driven and intelligent algorithms.From demand forecasting to resource scheduling and risk early-warning to dynamic decision-making,artificial intelligence obtains significant improvements in response speed and accuracy for the supply chain and accelerated breakthroughs in end-to-end collaborative capabilities.There are still significant challenges during technology implementation,such as data silos,lack of transparency and interpretation in algorithms,and barriers to cross-organizational collaboration that limits its potential.Finding a balance between the incentivization of technology and management innovation has become an avenue within the academic community and industry to explore.展开更多
Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Appli...Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad felds of sciences and technology,scientists and engineers interested in mathematics.展开更多
Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Appli...Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.展开更多
Currently,talent cultivation faces numerous challenges,such as a shortage of school-enterprise tutors and a disconnection between curriculum construction and industry demands.The“promoting research through courses”m...Currently,talent cultivation faces numerous challenges,such as a shortage of school-enterprise tutors and a disconnection between curriculum construction and industry demands.The“promoting research through courses”model has emerged in response to these challenges.Its goals include training students’research capabilities,cultivating their interdisciplinary learning and application abilities,and establishing an ecological closed loop between education and research.The reform measures involve innovating curriculum design to create new,advanced,and practical courses,adopting a hierarchical and progressive classroom teaching method combined with post-class diversion guidance,and conducting online-offline integrated case-based and scenario-based teaching.The reform has achieved remarkable results.Students have enhanced their research abilities,knowledge application,and professional qualities.Schools have strengthened their discipline construction,teaching staff,and social influence.Enterprises have realized their talent reserves and technological innovations.The teaching model has integrated theory and practice,promoting the high-quality development of education and teaching,and providing a new path to solve the problems in education and industry development.展开更多
Applied undergraduate universities are an important component of China’s higher education system,aimed at cultivating applied and versatile talents.Their adherence to the integration of industry and education and the...Applied undergraduate universities are an important component of China’s higher education system,aimed at cultivating applied and versatile talents.Their adherence to the integration of industry and education and the coordinated innovation of ideological and political education is not only a strategic choice to respond to the fundamental task of national moral education,but also a key path to solving the talent paradox of“strong skills,weak literacy.”This article is based on the current situation of the integration of industry and education and the development of ideological and political education in application-oriented undergraduate universities.It deeply analyzes the collaborative mechanism and practical difficulties between the two in terms of goals,processes,and resources.It innovatively proposes a strategy for the coordinated development of ideological and political education in application-oriented undergraduate universities under the background of industry-education integration,which has important practical significance for achieving the organic unity of the education chain,industry chain,and talent chain of application-oriented universities.展开更多
果冻作为重要休闲食品,其感官品质直接影响消费者选择。精准识别并优化关键感官属性是提升产品竞争力的关键。该研究以9种品牌果冻为研究对象,通过定性、定量消费者测试[喜好度检验、检查所有适用法(check all that apply,CATA)和最适...果冻作为重要休闲食品,其感官品质直接影响消费者选择。精准识别并优化关键感官属性是提升产品竞争力的关键。该研究以9种品牌果冻为研究对象,通过定性、定量消费者测试[喜好度检验、检查所有适用法(check all that apply,CATA)和最适标尺法(just about right,JAR)]以及评价小组的定量描述性分析,确定了果冻产品的关键感官属性和关键属性的理想强度范围。结果表明,感官属性是驱动果冻消费的主要动机(P<0.05),其中口感(r=0.70)对整体喜好度的贡献大于风味(r=0.55)。CATA测试表明消费者最关注的属性为弹性、咀嚼性、易碎性和韧性。JAR测试验证了硬度、弹性、咀嚼性、凝聚性和韧性的不足或过强将使得消费者喜好度明显降低。结合JAR数据和描述性分析结果,确定关键质地属性理想强度范围(0~15分标度)为:硬度接近果冻条标样(8分):7.15~8.25分;弹性、咀嚼性均略大于布丁标样(8分、7分),分别为8.45~9.00分、7.5~9.00分;凝聚性介于果冻条标样(7分)与QQ糖标样之间(12分):7.5~10.00分;韧性则介于布丁(4分)与果冻条(7分)之间:5.66~7.15分。展开更多
文摘Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.
文摘Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.
文摘Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.
基金supported by the Scientific and Technological Research Council of Turkey(TÜB˙ITAK)through the Industrial R&D Projects Grant Program(TEYDEB)under Project No.3211077(grant recipient:Metin Kahraman)。
文摘This study introduces a lightweight deep learning model and a novel synthetic dataset designed to restore damaged one-dimensional(1D)barcodes and Quick Response(QR)codes,addressing critical challenges in logistics operations.The proposed solution leverages an efficient Pix2Pix-based framework,a type of conditional Generative Adversarial Network(GAN)optimized for image-to-image translation tasks,enabling the recovery of degraded barcodes and QR codes with minimal computational overhead.A core contribution of this work is the development of a synthetic dataset that simulates realistic damage scenarios frequently encountered in logistics environments,such as low contrast,misalignment,physical wear,and environmental interference.By training on this diverse and realistic dataset,the model demonstrates exceptional performance in restoring readability and decoding accuracy.The lightweight architecture,featuring a U-Net-based encoder-decoder with separable convolutions,ensures computational efficiency,making the approach suitable for real-time deployment on embedded and resource-constrained devices commonly used in logistics systems.Experimental results reveal significant improvements:QR code decoding ratios increased from 14%to 99%on training data and from 15%to 68%on validation data,while 1D barcode decoding ratios improved from 7%to 73%on training data and from 9%to 44%on validation data.By providing a robust,resource-efficient solution for restoring damaged barcodes and QR codes,this study offers practical advancements for enhancing the reliability of automated scanning systems in logistics operations,particularly under challenging conditions.
基金supported by Zhejiang Business Technology Institute Educational Reform Project(jg202520).
文摘Against the backdrop of the deep integration of“AI+Education,”this study focuses on the translation teaching of Applied English in higher vocational colleges,aiming to address the practical challenges in current teaching,such as the lag in AI application,the insufficient role transformation of teachers,and the weak digital literacy of students.By constructing an innovative“teacher-student-AI”interactive teaching model and a three-level process-oriented evaluation system,the research explores the practical path of AI-assisted translation teaching in pre-translation,in-translation,and post-translation stages.Through literature research,action research,and case analysis,the study summarizes standardized teaching templates for different professional scenarios and verifies the effectiveness of the teaching model.The results show that this reform can significantly improve students’digital literacy and autonomous learning ability,providing a replicable experience for AI-assisted teaching in higher vocational education and promoting the transformation of translation teaching from“knowledge acquisition”to“competence enhancement.”
文摘With the global economic digital transformation advancing quickly,the supply chain management issues facing the world are increased variability in customer demand,greater complexity within the supply chain processes,and chronic inefficiency bottlenecks.The rapid maturation of artificial intelligence provides a new pathway for optimizing supply chain performance,fundamentally transforming the traditional management paradigm through data-driven and intelligent algorithms.From demand forecasting to resource scheduling and risk early-warning to dynamic decision-making,artificial intelligence obtains significant improvements in response speed and accuracy for the supply chain and accelerated breakthroughs in end-to-end collaborative capabilities.There are still significant challenges during technology implementation,such as data silos,lack of transparency and interpretation in algorithms,and barriers to cross-organizational collaboration that limits its potential.Finding a balance between the incentivization of technology and management innovation has become an avenue within the academic community and industry to explore.
文摘Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad felds of sciences and technology,scientists and engineers interested in mathematics.
文摘Journal overview:Journal of Mathematical Research with Applications(JMRA),formerly Journal of Mathematical Research and Exposition(JMRE)created in 1981,one of the transactions of China Society for Industrial and Applied Mathematics,is a home for original research papers of the highest quality in all areas of mathematics with applications.The target audience comprises:pure and applied mathematicians,graduate students in broad fields of sciences and technology,scientists and engineers interested in mathematics.
基金funded by the Teaching Reform Project of Heilongjiang Province,China,titled“Research and Quantitative Analysis of the‘Three Integrations+Double Traction’Cultivation Model for Professional Degree Master Students”(SJGY20210190)the Key Teaching Reform Project of Shandong Province,China,titled“Research on the Cultivation Model of the Integration of Industry and Education for Engineering Professional Degree Postgraduates under the Background of‘Marine Engineering Complex’”(SDYJG21053)and the Postgraduate Teaching Reform Project of Harbin Engineering University,titled“Research on Key Core Issues of Scientific Research Practice for Professional Master Students——Taking the Electronic Information Major of Yantai Institute as an Example”(JG2021Y074).
文摘Currently,talent cultivation faces numerous challenges,such as a shortage of school-enterprise tutors and a disconnection between curriculum construction and industry demands.The“promoting research through courses”model has emerged in response to these challenges.Its goals include training students’research capabilities,cultivating their interdisciplinary learning and application abilities,and establishing an ecological closed loop between education and research.The reform measures involve innovating curriculum design to create new,advanced,and practical courses,adopting a hierarchical and progressive classroom teaching method combined with post-class diversion guidance,and conducting online-offline integrated case-based and scenario-based teaching.The reform has achieved remarkable results.Students have enhanced their research abilities,knowledge application,and professional qualities.Schools have strengthened their discipline construction,teaching staff,and social influence.Enterprises have realized their talent reserves and technological innovations.The teaching model has integrated theory and practice,promoting the high-quality development of education and teaching,and providing a new path to solve the problems in education and industry development.
基金The 2023 Guangdong University of Science and Technology Teaching,Science and Technology Innovation,Teaching and Learning Enhancement Project Team(GKJXXZ2023018)。
文摘Applied undergraduate universities are an important component of China’s higher education system,aimed at cultivating applied and versatile talents.Their adherence to the integration of industry and education and the coordinated innovation of ideological and political education is not only a strategic choice to respond to the fundamental task of national moral education,but also a key path to solving the talent paradox of“strong skills,weak literacy.”This article is based on the current situation of the integration of industry and education and the development of ideological and political education in application-oriented undergraduate universities.It deeply analyzes the collaborative mechanism and practical difficulties between the two in terms of goals,processes,and resources.It innovatively proposes a strategy for the coordinated development of ideological and political education in application-oriented undergraduate universities under the background of industry-education integration,which has important practical significance for achieving the organic unity of the education chain,industry chain,and talent chain of application-oriented universities.
文摘果冻作为重要休闲食品,其感官品质直接影响消费者选择。精准识别并优化关键感官属性是提升产品竞争力的关键。该研究以9种品牌果冻为研究对象,通过定性、定量消费者测试[喜好度检验、检查所有适用法(check all that apply,CATA)和最适标尺法(just about right,JAR)]以及评价小组的定量描述性分析,确定了果冻产品的关键感官属性和关键属性的理想强度范围。结果表明,感官属性是驱动果冻消费的主要动机(P<0.05),其中口感(r=0.70)对整体喜好度的贡献大于风味(r=0.55)。CATA测试表明消费者最关注的属性为弹性、咀嚼性、易碎性和韧性。JAR测试验证了硬度、弹性、咀嚼性、凝聚性和韧性的不足或过强将使得消费者喜好度明显降低。结合JAR数据和描述性分析结果,确定关键质地属性理想强度范围(0~15分标度)为:硬度接近果冻条标样(8分):7.15~8.25分;弹性、咀嚼性均略大于布丁标样(8分、7分),分别为8.45~9.00分、7.5~9.00分;凝聚性介于果冻条标样(7分)与QQ糖标样之间(12分):7.5~10.00分;韧性则介于布丁(4分)与果冻条(7分)之间:5.66~7.15分。
