An attempt study of fine course construction strategy of modern education technology, Starting from the modern education technology professional career goals, while, in curriculum setting, highlights the profession＇...An attempt study of fine course construction strategy of modern education technology, Starting from the modern education technology professional career goals, while, in curriculum setting, highlights the profession＇ s ＂Normal＂ , and ＂technical＂ and ＂managerial＂ character. And fully reflect the characteristics of higher vocational college and strengthen the ability of students to achieve a to job competency-based, employment-oriented training model. Through the construction of the core curriculum system, cultivating high-quality skilled training objectives Normal talents.展开更多
Objective: Verify if the educational technology based on Just in Time Education is relevant to Permanent Health Education in Workers’ Health. Method: This study is exploratory and descriptive qualitative research. We...Objective: Verify if the educational technology based on Just in Time Education is relevant to Permanent Health Education in Workers’ Health. Method: This study is exploratory and descriptive qualitative research. Were performed semi-structured interviews were carried out with the worker’s health team of a large company from the South of Brazil region. The collected data were carried out in 2021, between January and May, through the virtual environment, with eight participants from the Work Health Team of Eletrosul, located in Florianópolis, who agreed to participate in the research by signing the Free and Informed Consent Term, in accordance with the data saturation criterion. The research was approved by the Ethics Committee (n. 4079133) and the data were submitted to Bardin for thematic content analysis. Result: The results are presented from three categories: 1) Expansion and inclusion in Permanent Education needs;2) Tools adopted in educational processes;3) Just in Time Education: educational technology for workers’ health. Conclusion: The active methodology Just in Time Education helps the processes of Permanent Education in Health, which moved from a face-to-face model to e-learning and required the knowledge renewal in the technology area to maintain efficient communication. This methodology allows quick and accurate access to information from a reliable, adequate, and up-to-date source, causing a positive impact on the qualified and problem-solving work process, in line with the needs of the employer and the company. Therefore, Just in Time Education can provide standardization, organization, and informational and operational quality necessary in this context, in addition to serving as an indicator and data generator (management tool).展开更多
As an emerging technological form,the metaverse provides innovative transformations for all levels of education-including scenarios,resources,and models-through its highly immersive and powerful social interaction cha...As an emerging technological form,the metaverse provides innovative transformations for all levels of education-including scenarios,resources,and models-through its highly immersive and powerful social interaction characteristics.Educational evaluation is core to assessing teaching effects and improving teaching strategies.With the technical support of the metaverse,challenges in traditional educational evaluation can be addressed,and comprehensive multi-dimensional portraits of individuals and collectives can be depicted,effectively enhancing teaching outcomes.Therefore,it has important value and untapped potential.This paper first analyzes the characteristics of educational evaluation in the metaverse context,discusses possible opportunities and challenges,then explores comprehensive practical paths from macro,meso,and micro levels,providing suggestions for the reform of educational evaluation in the metaverse environment.展开更多
With more educational business absorbed into information management system at universities, traditional information management platform seems unable to provide efficient service for teaching and research. Some univers...With more educational business absorbed into information management system at universities, traditional information management platform seems unable to provide efficient service for teaching and research. Some universities then resort to cloud computing platform. In view of the problems existing in the traditional information platform, this study presented an information management framework designed with cloud technology, and introduced the security techniques for its protection.展开更多
The Biological Communication Behavior of the Left and the Right Brains have been constructed through the explanation of the phenomena of their specific part activities encompassing: Prefrontal, Frontal, Parietal, Cent...The Biological Communication Behavior of the Left and the Right Brains have been constructed through the explanation of the phenomena of their specific part activities encompassing: Prefrontal, Frontal, Parietal, Central, Occipital and Parasagital which have been significantly tested in terms of their impacts in learning acceleration starting from Elementary School to University levels. This study is conducted by means of constructive approach and it employs both the quantitative and qualitative techniques. The result of the study shows that the biological communication of the left and the right brains are reliably tested scientifically from the viewpoint of science. The Problem Based Learning start from elementary school to university level of both social and science groups.展开更多
Elaborated the multimedia technologies in the teaching characteristic, definitely multimedia technical superiority at the same time, the union managed by the people university have used the question which in the multi...Elaborated the multimedia technologies in the teaching characteristic, definitely multimedia technical superiority at the same time, the union managed by the people university have used the question which in the multimedia technologies appears to propose some improvement method as well as in the multimedia technologies the question which should pay attention in the teaching. Proposed in the modem education media, the teacher reasonably chooses and utilizes the science teaching process through the teaching design which multimedia technical and the traditional teaching method organic synthesis forms, all played to the curriculum and the teaching method reform the positive role. The science uses the multimedia technologies, may avoid the multimedia technologies in classroom instruction application some erroneous zones, the realization teaching effect optimization.展开更多
In the process of education and teaching, the relationship between teachers and students is the most important one, which includes their position, role and treatment, mutual support and interdependence. In the era of ...In the process of education and teaching, the relationship between teachers and students is the most important one, which includes their position, role and treatment, mutual support and interdependence. In the era of scarce educational resources, teachers are the owners of knowledge. However, when the emergence of the Internet puts a huge amount of knowledge in front of people, what is scarce in education is no longer the amount of knowledge, but the selection, carding, promotion and internalization of knowledge. The traditional teaching method is transforming into learner centered individualized teaching and learning. In the process of teaching and learning, the proportion and focus of knowledge transfer and knowledge internalization have also changed. Under the new environment, teachers need to change the habits of teaching and learning for thousands of years, and carry out teaching in innovative mode through new technical means, so as to achieve higher results. However, in the new technology environment, if there is no complete teaching logic and the organic connection and cooperation between man and machine, classroom teaching will not present an orderly and efficient situation. If there is no good teaching design and the new educational technology is used freely, the teaching effect may not be as good as the traditional blackboard teaching mode.展开更多
This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data a...This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data and historical academic performance)with dynamic behavioral patterns(e.g.,real-time interactions and evolving interests over time).The research employs Term Frequency-Inverse Document Frequency(TF-IDF)for semantic feature extraction,integrates the Analytic Hierarchy Process(AHP)for feature weighting,and introduces a time decay function inspired by Newton’s law of cooling to dynamically model changes in learners’interests.Empirical results demonstrate that this framework effectively captures the dynamic evolution of learners’behaviors and provides context-aware learning resource recommendations.The study introduces a novel paradigm for learner modeling in educational technology,combining methodological innovation with a scalable technical architecture,thereby laying a foundation for the development of adaptive learning systems.展开更多
The increased demand for personalized customization calls for new production modes to enhance collaborations among a wide range of manufacturing practitioners who unnecessarily trust each other.In this article,a block...The increased demand for personalized customization calls for new production modes to enhance collaborations among a wide range of manufacturing practitioners who unnecessarily trust each other.In this article,a blockchain-enabled manufacturing collaboration framework is proposed,with a focus on the production capacity matching problem for blockchainbased peer-to-peer(P2P)collaboration.First,a digital model of production capacity description is built for trustworthy and transparent sharing over the blockchain.Second,an optimization problem is formulated for P2P production capacity matching with objectives to maximize both social welfare and individual benefits of all participants.Third,a feasible solution based on an iterative double auction mechanism is designed to determine the optimal price and quantity for production capacity matching with a lack of personal information.It facilitates automation of the matching process while protecting users'privacy via blockchainbased smart contracts.Finally,simulation results from the Hyperledger Fabric-based prototype show that the proposed approach increases social welfare by 1.4%compared to the Bayesian game-based approach,makes all participants profitable,and achieves 90%fairness of enterprises.展开更多
The integration of Artificial Intelligence (AI) and Internet of Things (IoT), known as AIoT, presents a transformative framework for modernizing campus IT operation and maintenance. This paper details the design of a ...The integration of Artificial Intelligence (AI) and Internet of Things (IoT), known as AIoT, presents a transformative framework for modernizing campus IT operation and maintenance. This paper details the design of a hierarchical AIoT architecture that leverages edge computing for real-time decision-making and cloud analytics for long-term optimization, achieving a higher system availability while reducing data transmission costs. The proposed system addresses critical challenges in traditional campus management such as energy inefficiency, reactive maintenance, and resource underutilization through intelligent applications like predictive resource allocation and environmental control. Furthermore, the design incorporates a robust, AI-driven cybersecurity framework and intelligent data processing paradigms, such as federated learning, which enhance maintenance efficiency and reduce false alarms. The transition to an AIoT-enabled campus is not merely a technological upgrade but a strategic shift towards a predictive, efficient, and sustainable operational model, fundamentally enhancing the management of university infrastructures.展开更多
While the relation between shyness and problematic social media use(PSMU)among adolescents has been established,the mediating and moderating mechanisms underlying this association remain largely unexplored.The present...While the relation between shyness and problematic social media use(PSMU)among adolescents has been established,the mediating and moderating mechanisms underlying this association remain largely unexplored.The present study examined whether psychological insecurity mediated the association between shyness and adolescents’PSMU and whether this mediation was moderated by relational-interdependent self-construal(RISC).A total of 1506 Chinese adolescents(Mage=13.74 years,SD=0.98)filled out self-report measures of shyness,psychological insecurity,RISC,and PSMU.SPSS(version 23.0)and the PROCESS macro(version 4.1)were employed to test the proposed model.Mediation analyses indicated that psychological insecurity mediated the association between shyness and adolescent PSMU.Furthermore,moderated mediation tests revealed that RISC moderated thefirst half of the mediation path,whereby RISC ameliorated the detrimental effects of shyness on psychological insecurity,consequently reducing the risk of PSMU.The present study provides further evidence on the mediating and moderating mechanisms between shyness and PSMU,which has important implications for the prevention and intervention of PSMU.For adolescents who exhibited pronounced shyness and low levels of RISC,a promising strategy for mitigating their PSMU would be interventions designed to cultivate social skills,alleviate psychological insecurity,and enhance their RISC.展开更多
The purpose of this research is to analyze the causal mechanisms of learning difficulties of middle school students and use them to propose strategies to help them.This research is particularly valuable for its focus ...The purpose of this research is to analyze the causal mechanisms of learning difficulties of middle school students and use them to propose strategies to help them.This research is particularly valuable for its focus on middle school students.Research on this critical transition period is often lacking compared to primary and high school.Therefore,this research establishes a structured equation model and analyzes the data from the survey using the partial least squares method.The data were obtained from a 13,900 Wenzhou City,China students’questionnaire.The research found that learning strategies were the most significant influences on learning effectiveness,followed by learning motivation and learning relationships.Meanwhile,learning relationships had a significant impact on learning pressure.Therefore,this research proposes targeted support strategies.It aims to enhance learning motivation(Set achievable learning goals for each student with learning difficulties based on their actual situation),optimize learning strategies(Encourage students with learning difficulties to learn self-regulatory strategies such as goal setting,time management,and self-reflection),and improve learning relationships(Establish a good social network to promote positive interaction between students with learning difficulties and their peers).At the same time,it reduces students’learning pressure.Ultimately,the learning effectiveness of students with learning difficulties is improved.展开更多
This study focused on the impact of intelligent learning companions(ILC)on Chinese EFL learners’oral English ability and technology perception.Using a quasi-experimental design,this study selected 51 EFL learners fro...This study focused on the impact of intelligent learning companions(ILC)on Chinese EFL learners’oral English ability and technology perception.Using a quasi-experimental design,this study selected 51 EFL learners from a university in southeast China and randomly divided them into an experimental group(EG,n=24)and a control group(CG,n=27).During the 16-week intervention period,the experimental group adopted the intelligent learning companion teaching strategy supported by artificial intelligence technology(Relying on the IFlytek Spark Platform),while the control group adopted the learning companion strategy guided by teachers.The experimental group not only had better oral English scores(p=0.001<0.05)but also showed a significant increase in technology perception(p=0.01<0.05).The research provides a new perspective for effectively integrating artificial intelligence technology in oral English teaching.Also,it offers strong empirical support for theoretical study and practical application in enhancing the oral expression ability of the second language,English.展开更多
To further improve upon the deficiencies of traditional algorithms in terms of population diversity,convergence accuracy,and speed,this paper introduces a Dynamic Multi-Population Hybrid Metaheuristic Algorithm(DHA).D...To further improve upon the deficiencies of traditional algorithms in terms of population diversity,convergence accuracy,and speed,this paper introduces a Dynamic Multi-Population Hybrid Metaheuristic Algorithm(DHA).DHA dynamically categorizes the population into Elite,Follower,and Explorer subgroups,applying specific strategies:a novel dimension-wise Gaussian mutation combined with the Sine Cosine Algorithm(SCA)for the Elite,a randomized spiral search for the Explorer,and Lévy flight for the Follower.Rigorous testing on benchmark sets like CEC2005,CEC2017,and CEC2019,alongside practical application in Service Function Chain(SFC)mapping,underscores DHA’s superior performance and applicability.展开更多
Cross-domain graph anomaly detection(CD-GAD)is a promising task that leverages knowledge from a labelled source graph to guide anomaly detection on an unlabelled target graph.CD-GAD classifies anomalies as unique or c...Cross-domain graph anomaly detection(CD-GAD)is a promising task that leverages knowledge from a labelled source graph to guide anomaly detection on an unlabelled target graph.CD-GAD classifies anomalies as unique or common based on their presence in both the source and target graphs.However,existing models often fail to fully explore domain-unique knowledge of the target graph for detecting unique anomalies.Additionally,they tend to focus solely on node-level differences,overlooking structural-level differences that provide complementary information for common anomaly detection.To address these issues,we propose a novel method,Synthetic Graph Anomaly Detection via Graph Transfer and Graph Decouple(GTGD),which effectively detects common and unique anomalies in the target graph.Specifically,our approach ensures deeper learning of domain-unique knowledge by decoupling the reconstruction graphs of common and unique features.Moreover,we simulta-neously consider node-level and structural-level differences by transferring node and edge information from the source graph to the target graph,enabling comprehensive domain-common knowledge representation.Anomalies are detected using both common and unique features,with their synthetic score serving as the final result.Extensive experiments demonstrate the effectiveness of our approach,improving an average performance by 12.6%on the AUC-PR compared to state-of-the-art methods.展开更多
Ensuring the reliability of power systems in microgrids is critical,particularly under contingency conditions that can disrupt power flow and system stability.This study investigates the application of Security-Constr...Ensuring the reliability of power systems in microgrids is critical,particularly under contingency conditions that can disrupt power flow and system stability.This study investigates the application of Security-Constrained Optimal Power Flow(SCOPF)using the Line Outage Distribution Factor(LODF)to enhance resilience in a renewable energy-integrated microgrid.The research examines a 30-bus system with 14 generators and an 8669 MW load demand,optimizing both single-objective and multi-objective scenarios.The single-objective opti-mization achieves a total generation cost of$47,738,while the multi-objective approach reduces costs to$47,614 and minimizes battery power output to 165.02 kW.Under contingency conditions,failures in transmission lines 1,22,and 35 lead to complete power loss in those lines,requiring a redistribution strategy.Implementing SCOPF mitigates these disruptions by adjusting power flows,ensuring no line exceeds its capacity.Specifically,in contingency 1,power in channel 4 is reduced from 59 to 32 kW,while overall load shedding is minimized to 0.278 MW.These results demonstrate the effectiveness of SCOPF in maintaining stability and reducing economic losses.Unlike prior studies,this work integrates LODF into SCOPF for large-scale microgrid applications,offering a computationally efficient contingency management framework that enhances grid resilience and supports renewable energy adoption.展开更多
BACKGROUND: Macrophages are widely-distributed innate immune cells playing diverse roles in various physiological and pathological processes. The primary function of macrophages is to phagocytize and clear invading pa...BACKGROUND: Macrophages are widely-distributed innate immune cells playing diverse roles in various physiological and pathological processes. The primary function of macrophages is to phagocytize and clear invading pathogens.DATA SOURCES: A systematic search of PubMed was performed to identify relevant studies in English language literature using the key words such as macrophage and inflammation. A total of 122 articles related to inflammatory response of macrophages in infection were systematically reviewed.RESULTS: The inflammatory responses of macrophages triggered by infection comprise four interrelated phases:recognition of pathogen-associated molecular patterns by pattern-recognition receptors expressed on/in macrophages;enrichment of quantity of macrophages in local infected tissue by recruitment of circulating monocytes and/or in situ proliferation; macrophage-mediation of microbicidal activity and conversion to anti-inflammatory phenotype to terminate anti-infectious response and to promote tissue repair.Complicated regulation of macrophage activation at molecular level recognized in the past decade is also reviewed, including intracellular multiple signaling molecules, membrane molecules,microRNAs and even epigenetic-associated molecules.CONCLUSION: The inflammatory response of macrophages in infection is an orderly and complicated process under elaborate regulation at molecular level.展开更多
文摘An attempt study of fine course construction strategy of modern education technology, Starting from the modern education technology professional career goals, while, in curriculum setting, highlights the profession＇ s ＂Normal＂ , and ＂technical＂ and ＂managerial＂ character. And fully reflect the characteristics of higher vocational college and strengthen the ability of students to achieve a to job competency-based, employment-oriented training model. Through the construction of the core curriculum system, cultivating high-quality skilled training objectives Normal talents.
文摘Objective: Verify if the educational technology based on Just in Time Education is relevant to Permanent Health Education in Workers’ Health. Method: This study is exploratory and descriptive qualitative research. Were performed semi-structured interviews were carried out with the worker’s health team of a large company from the South of Brazil region. The collected data were carried out in 2021, between January and May, through the virtual environment, with eight participants from the Work Health Team of Eletrosul, located in Florianópolis, who agreed to participate in the research by signing the Free and Informed Consent Term, in accordance with the data saturation criterion. The research was approved by the Ethics Committee (n. 4079133) and the data were submitted to Bardin for thematic content analysis. Result: The results are presented from three categories: 1) Expansion and inclusion in Permanent Education needs;2) Tools adopted in educational processes;3) Just in Time Education: educational technology for workers’ health. Conclusion: The active methodology Just in Time Education helps the processes of Permanent Education in Health, which moved from a face-to-face model to e-learning and required the knowledge renewal in the technology area to maintain efficient communication. This methodology allows quick and accurate access to information from a reliable, adequate, and up-to-date source, causing a positive impact on the qualified and problem-solving work process, in line with the needs of the employer and the company. Therefore, Just in Time Education can provide standardization, organization, and informational and operational quality necessary in this context, in addition to serving as an indicator and data generator (management tool).
文摘As an emerging technological form,the metaverse provides innovative transformations for all levels of education-including scenarios,resources,and models-through its highly immersive and powerful social interaction characteristics.Educational evaluation is core to assessing teaching effects and improving teaching strategies.With the technical support of the metaverse,challenges in traditional educational evaluation can be addressed,and comprehensive multi-dimensional portraits of individuals and collectives can be depicted,effectively enhancing teaching outcomes.Therefore,it has important value and untapped potential.This paper first analyzes the characteristics of educational evaluation in the metaverse context,discusses possible opportunities and challenges,then explores comprehensive practical paths from macro,meso,and micro levels,providing suggestions for the reform of educational evaluation in the metaverse environment.
文摘With more educational business absorbed into information management system at universities, traditional information management platform seems unable to provide efficient service for teaching and research. Some universities then resort to cloud computing platform. In view of the problems existing in the traditional information platform, this study presented an information management framework designed with cloud technology, and introduced the security techniques for its protection.
文摘The Biological Communication Behavior of the Left and the Right Brains have been constructed through the explanation of the phenomena of their specific part activities encompassing: Prefrontal, Frontal, Parietal, Central, Occipital and Parasagital which have been significantly tested in terms of their impacts in learning acceleration starting from Elementary School to University levels. This study is conducted by means of constructive approach and it employs both the quantitative and qualitative techniques. The result of the study shows that the biological communication of the left and the right brains are reliably tested scientifically from the viewpoint of science. The Problem Based Learning start from elementary school to university level of both social and science groups.
文摘Elaborated the multimedia technologies in the teaching characteristic, definitely multimedia technical superiority at the same time, the union managed by the people university have used the question which in the multimedia technologies appears to propose some improvement method as well as in the multimedia technologies the question which should pay attention in the teaching. Proposed in the modem education media, the teacher reasonably chooses and utilizes the science teaching process through the teaching design which multimedia technical and the traditional teaching method organic synthesis forms, all played to the curriculum and the teaching method reform the positive role. The science uses the multimedia technologies, may avoid the multimedia technologies in classroom instruction application some erroneous zones, the realization teaching effect optimization.
文摘In the process of education and teaching, the relationship between teachers and students is the most important one, which includes their position, role and treatment, mutual support and interdependence. In the era of scarce educational resources, teachers are the owners of knowledge. However, when the emergence of the Internet puts a huge amount of knowledge in front of people, what is scarce in education is no longer the amount of knowledge, but the selection, carding, promotion and internalization of knowledge. The traditional teaching method is transforming into learner centered individualized teaching and learning. In the process of teaching and learning, the proportion and focus of knowledge transfer and knowledge internalization have also changed. Under the new environment, teachers need to change the habits of teaching and learning for thousands of years, and carry out teaching in innovative mode through new technical means, so as to achieve higher results. However, in the new technology environment, if there is no complete teaching logic and the organic connection and cooperation between man and machine, classroom teaching will not present an orderly and efficient situation. If there is no good teaching design and the new educational technology is used freely, the teaching effect may not be as good as the traditional blackboard teaching mode.
基金This work is supported by the Ministry of Education of Humanities and Social Science projects in China(No.20YJCZH124)Guangdong Province Education and Teaching Reform Project No.640:Research on the Teaching Practice and Application of Online Peer Assessment Methods in the Context of Artificial Intelligence.
文摘This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data and historical academic performance)with dynamic behavioral patterns(e.g.,real-time interactions and evolving interests over time).The research employs Term Frequency-Inverse Document Frequency(TF-IDF)for semantic feature extraction,integrates the Analytic Hierarchy Process(AHP)for feature weighting,and introduces a time decay function inspired by Newton’s law of cooling to dynamically model changes in learners’interests.Empirical results demonstrate that this framework effectively captures the dynamic evolution of learners’behaviors and provides context-aware learning resource recommendations.The study introduces a novel paradigm for learner modeling in educational technology,combining methodological innovation with a scalable technical architecture,thereby laying a foundation for the development of adaptive learning systems.
基金supported in part by the National Natural Science Foundation of China(62273310)the Natural Science Foundation of Zhejiang Province of China(LY22F030006,LZ24F030009)
文摘The increased demand for personalized customization calls for new production modes to enhance collaborations among a wide range of manufacturing practitioners who unnecessarily trust each other.In this article,a blockchain-enabled manufacturing collaboration framework is proposed,with a focus on the production capacity matching problem for blockchainbased peer-to-peer(P2P)collaboration.First,a digital model of production capacity description is built for trustworthy and transparent sharing over the blockchain.Second,an optimization problem is formulated for P2P production capacity matching with objectives to maximize both social welfare and individual benefits of all participants.Third,a feasible solution based on an iterative double auction mechanism is designed to determine the optimal price and quantity for production capacity matching with a lack of personal information.It facilitates automation of the matching process while protecting users'privacy via blockchainbased smart contracts.Finally,simulation results from the Hyperledger Fabric-based prototype show that the proposed approach increases social welfare by 1.4%compared to the Bayesian game-based approach,makes all participants profitable,and achieves 90%fairness of enterprises.
文摘The integration of Artificial Intelligence (AI) and Internet of Things (IoT), known as AIoT, presents a transformative framework for modernizing campus IT operation and maintenance. This paper details the design of a hierarchical AIoT architecture that leverages edge computing for real-time decision-making and cloud analytics for long-term optimization, achieving a higher system availability while reducing data transmission costs. The proposed system addresses critical challenges in traditional campus management such as energy inefficiency, reactive maintenance, and resource underutilization through intelligent applications like predictive resource allocation and environmental control. Furthermore, the design incorporates a robust, AI-driven cybersecurity framework and intelligent data processing paradigms, such as federated learning, which enhance maintenance efficiency and reduce false alarms. The transition to an AIoT-enabled campus is not merely a technological upgrade but a strategic shift towards a predictive, efficient, and sustainable operational model, fundamentally enhancing the management of university infrastructures.
基金supported by the Philosophy and Social Science Planning Project of Zhejiang Province,China(No.20NDQN266YB).
文摘While the relation between shyness and problematic social media use(PSMU)among adolescents has been established,the mediating and moderating mechanisms underlying this association remain largely unexplored.The present study examined whether psychological insecurity mediated the association between shyness and adolescents’PSMU and whether this mediation was moderated by relational-interdependent self-construal(RISC).A total of 1506 Chinese adolescents(Mage=13.74 years,SD=0.98)filled out self-report measures of shyness,psychological insecurity,RISC,and PSMU.SPSS(version 23.0)and the PROCESS macro(version 4.1)were employed to test the proposed model.Mediation analyses indicated that psychological insecurity mediated the association between shyness and adolescent PSMU.Furthermore,moderated mediation tests revealed that RISC moderated thefirst half of the mediation path,whereby RISC ameliorated the detrimental effects of shyness on psychological insecurity,consequently reducing the risk of PSMU.The present study provides further evidence on the mediating and moderating mechanisms between shyness and PSMU,which has important implications for the prevention and intervention of PSMU.For adolescents who exhibited pronounced shyness and low levels of RISC,a promising strategy for mitigating their PSMU would be interventions designed to cultivate social skills,alleviate psychological insecurity,and enhance their RISC.
基金2025 Wenzhou Key Research Base of Philosophy and Social Science(Wenzhou University Learning Science and Technology Research Centre)Research Project:Investigation and Strategy Research on the Causes of Middle School Students’Learning Difficulties in the Context of the Leading Country in Education.
文摘The purpose of this research is to analyze the causal mechanisms of learning difficulties of middle school students and use them to propose strategies to help them.This research is particularly valuable for its focus on middle school students.Research on this critical transition period is often lacking compared to primary and high school.Therefore,this research establishes a structured equation model and analyzes the data from the survey using the partial least squares method.The data were obtained from a 13,900 Wenzhou City,China students’questionnaire.The research found that learning strategies were the most significant influences on learning effectiveness,followed by learning motivation and learning relationships.Meanwhile,learning relationships had a significant impact on learning pressure.Therefore,this research proposes targeted support strategies.It aims to enhance learning motivation(Set achievable learning goals for each student with learning difficulties based on their actual situation),optimize learning strategies(Encourage students with learning difficulties to learn self-regulatory strategies such as goal setting,time management,and self-reflection),and improve learning relationships(Establish a good social network to promote positive interaction between students with learning difficulties and their peers).At the same time,it reduces students’learning pressure.Ultimately,the learning effectiveness of students with learning difficulties is improved.
文摘This study focused on the impact of intelligent learning companions(ILC)on Chinese EFL learners’oral English ability and technology perception.Using a quasi-experimental design,this study selected 51 EFL learners from a university in southeast China and randomly divided them into an experimental group(EG,n=24)and a control group(CG,n=27).During the 16-week intervention period,the experimental group adopted the intelligent learning companion teaching strategy supported by artificial intelligence technology(Relying on the IFlytek Spark Platform),while the control group adopted the learning companion strategy guided by teachers.The experimental group not only had better oral English scores(p=0.001<0.05)but also showed a significant increase in technology perception(p=0.01<0.05).The research provides a new perspective for effectively integrating artificial intelligence technology in oral English teaching.Also,it offers strong empirical support for theoretical study and practical application in enhancing the oral expression ability of the second language,English.
基金supported by the Natural Science Foundation of Zhejiang Province(LZ20F010008)the National College Students Innovation and Entrepreneurship Training Program(202310351075)the Zhejiang Xinmiao Talents Program(2023R451023).
文摘To further improve upon the deficiencies of traditional algorithms in terms of population diversity,convergence accuracy,and speed,this paper introduces a Dynamic Multi-Population Hybrid Metaheuristic Algorithm(DHA).DHA dynamically categorizes the population into Elite,Follower,and Explorer subgroups,applying specific strategies:a novel dimension-wise Gaussian mutation combined with the Sine Cosine Algorithm(SCA)for the Elite,a randomized spiral search for the Explorer,and Lévy flight for the Follower.Rigorous testing on benchmark sets like CEC2005,CEC2017,and CEC2019,alongside practical application in Service Function Chain(SFC)mapping,underscores DHA’s superior performance and applicability.
基金supported by the National Nature Science Foundation of China,Grant/Award Numbers:62337001,62037001“Pioneer”and“Leading Goose”R&D Program of Zhejiang,Grant/Award Number:2022C03106.
文摘Cross-domain graph anomaly detection(CD-GAD)is a promising task that leverages knowledge from a labelled source graph to guide anomaly detection on an unlabelled target graph.CD-GAD classifies anomalies as unique or common based on their presence in both the source and target graphs.However,existing models often fail to fully explore domain-unique knowledge of the target graph for detecting unique anomalies.Additionally,they tend to focus solely on node-level differences,overlooking structural-level differences that provide complementary information for common anomaly detection.To address these issues,we propose a novel method,Synthetic Graph Anomaly Detection via Graph Transfer and Graph Decouple(GTGD),which effectively detects common and unique anomalies in the target graph.Specifically,our approach ensures deeper learning of domain-unique knowledge by decoupling the reconstruction graphs of common and unique features.Moreover,we simulta-neously consider node-level and structural-level differences by transferring node and edge information from the source graph to the target graph,enabling comprehensive domain-common knowledge representation.Anomalies are detected using both common and unique features,with their synthetic score serving as the final result.Extensive experiments demonstrate the effectiveness of our approach,improving an average performance by 12.6%on the AUC-PR compared to state-of-the-art methods.
文摘Ensuring the reliability of power systems in microgrids is critical,particularly under contingency conditions that can disrupt power flow and system stability.This study investigates the application of Security-Constrained Optimal Power Flow(SCOPF)using the Line Outage Distribution Factor(LODF)to enhance resilience in a renewable energy-integrated microgrid.The research examines a 30-bus system with 14 generators and an 8669 MW load demand,optimizing both single-objective and multi-objective scenarios.The single-objective opti-mization achieves a total generation cost of$47,738,while the multi-objective approach reduces costs to$47,614 and minimizes battery power output to 165.02 kW.Under contingency conditions,failures in transmission lines 1,22,and 35 lead to complete power loss in those lines,requiring a redistribution strategy.Implementing SCOPF mitigates these disruptions by adjusting power flows,ensuring no line exceeds its capacity.Specifically,in contingency 1,power in channel 4 is reduced from 59 to 32 kW,while overall load shedding is minimized to 0.278 MW.These results demonstrate the effectiveness of SCOPF in maintaining stability and reducing economic losses.Unlike prior studies,this work integrates LODF into SCOPF for large-scale microgrid applications,offering a computationally efficient contingency management framework that enhances grid resilience and supports renewable energy adoption.
基金supported by a grant from the National Natural Science Foundation of China (81373131)
文摘BACKGROUND: Macrophages are widely-distributed innate immune cells playing diverse roles in various physiological and pathological processes. The primary function of macrophages is to phagocytize and clear invading pathogens.DATA SOURCES: A systematic search of PubMed was performed to identify relevant studies in English language literature using the key words such as macrophage and inflammation. A total of 122 articles related to inflammatory response of macrophages in infection were systematically reviewed.RESULTS: The inflammatory responses of macrophages triggered by infection comprise four interrelated phases:recognition of pathogen-associated molecular patterns by pattern-recognition receptors expressed on/in macrophages;enrichment of quantity of macrophages in local infected tissue by recruitment of circulating monocytes and/or in situ proliferation; macrophage-mediation of microbicidal activity and conversion to anti-inflammatory phenotype to terminate anti-infectious response and to promote tissue repair.Complicated regulation of macrophage activation at molecular level recognized in the past decade is also reviewed, including intracellular multiple signaling molecules, membrane molecules,microRNAs and even epigenetic-associated molecules.CONCLUSION: The inflammatory response of macrophages in infection is an orderly and complicated process under elaborate regulation at molecular level.
