Building a technology alliance is the main strategy for the United States to maintain its scientific and technological hegemony under its technopolitical strategic framework.After Joe Biden took office,the United Stat...Building a technology alliance is the main strategy for the United States to maintain its scientific and technological hegemony under its technopolitical strategic framework.After Joe Biden took office,the United States implemented“small yard with high fences”strategy for scientific and technological competition,as the first step toward building a technology alliance.The main goal is to restrict the flow of strategic emerging technologies and factors of innovation to rival countries.展开更多
Self-serving,rational agents sometimes cooperate to their mutual benefit.The two-player iterated prisoner′s dilemma game is a model for including the emergence of cooperation.It is generally believed that there is no...Self-serving,rational agents sometimes cooperate to their mutual benefit.The two-player iterated prisoner′s dilemma game is a model for including the emergence of cooperation.It is generally believed that there is no simple ultimatum strategy which a player can control the return of the other participants.The zero-determinant strategy in the iterated prisoner′s dilemma dramatically expands our understanding of the classic game by uncovering strategies that provide a unilateral advantage to sentient players pitted against unwitting opponents.However,strategies in the prisoner′s dilemma game are only two strategies.Are there these results for general multi-strategy games?To address this question,the paper develops a theory for zero-determinant strategies for multi-strategy games,with any number of strategies.The analytical results exhibit a similar yet different scenario to the case of two-strategy games.The results are also applied to the Snowdrift game,the Hawk-Dove game and the Chicken game.展开更多
The multi-objective particle swarm optimization algorithm(MOPSO)is widely used to solve multi-objective optimization problems.In the article,amulti-objective particle swarm optimization algorithmbased on decomposition...The multi-objective particle swarm optimization algorithm(MOPSO)is widely used to solve multi-objective optimization problems.In the article,amulti-objective particle swarm optimization algorithmbased on decomposition and multi-selection strategy is proposed to improve the search efficiency.First,two update strategies based on decomposition are used to update the evolving population and external archive,respectively.Second,a multiselection strategy is designed.The first strategy is for the subspace without a non-dominated solution.Among the neighbor particles,the particle with the smallest penalty-based boundary intersection value is selected as the global optimal solution and the particle far away fromthe search particle and the global optimal solution is selected as the personal optimal solution to enhance global search.The second strategy is for the subspace with a non-dominated solution.In the neighbor particles,two particles are randomly selected,one as the global optimal solution and the other as the personal optimal solution,to enhance local search.The third strategy is for Pareto optimal front(PF)discontinuity,which is identified by the cumulative number of iterations of the subspace without non-dominated solutions.In the subsequent iteration,a new probability distribution is used to select from the remaining subspaces to search.Third,an adaptive inertia weight update strategy based on the dominated degree is designed to further improve the search efficiency.Finally,the proposed algorithmis compared with fivemulti-objective particle swarm optimization algorithms and five multi-objective evolutionary algorithms on 22 test problems.The results show that the proposed algorithm has better performance.展开更多
Present of wind power is sporadically and cannot be utilized as the only fundamental load of energy sources.This paper proposes a wind-solar hybrid energy storage system(HESS)to ensure a stable supply grid for a longe...Present of wind power is sporadically and cannot be utilized as the only fundamental load of energy sources.This paper proposes a wind-solar hybrid energy storage system(HESS)to ensure a stable supply grid for a longer period.A multi-objective genetic algorithm(MOGA)and state of charge(SOC)region division for the batteries are introduced to solve the objective function and configuration of the system capacity,respectively.MATLAB/Simulink was used for simulation test.The optimization results show that for a 0.5 MW wind power and 0.5 MW photovoltaic system,with a combination of a 300 Ah lithium battery,a 200 Ah lead-acid battery,and a water storage tank,the proposed strategy reduces the system construction cost by approximately 18,000 yuan.Additionally,the cycle count of the electrochemical energy storage systemincreases from4515 to 4660,while the depth of discharge decreases from 55.37%to 53.65%,achieving shallow charging and discharging,thereby extending battery life and reducing grid voltage fluctuations significantly.The proposed strategy is a guide for stabilizing the grid connection of wind and solar power generation,capability allocation,and energy management of energy conservation systems.展开更多
In reward-based crowdfunding, projects are to disclose the operational risks and mitigation strategies for delivering the physical rewards during the funding phase. However, limited knowledge exists regarding projects...In reward-based crowdfunding, projects are to disclose the operational risks and mitigation strategies for delivering the physical rewards during the funding phase. However, limited knowledge exists regarding projects’ operational risks and mitigation strategies during the funding phase. In contributing to the literature, the study uses data on Kickstarter.com and conducts a content analysis to explore themes and their relationships. The results reveal various operational risks and associated mitigation strategies. Among the identified themes, product-related, contract manufacturers, and supply markets are the most expected risks, while outsourced production and proactive sourcing are the popular mitigation strategies. Also, the finding reveals that proactive sourcing and outsourced production, in-house production and post-campaign sourcing, contract manufacturer risk, and project internal risk are themes forming clusters. The results extend crowdfunding risk disclosure literature and set the tone for future research in crowdfunding operational risk management. Finally, other business implications are drawn for crowdfunding practitioners.展开更多
In this paper,we study the optimal investment problem of an insurer whose surplus process follows the diffusion approximation of the classical Cramer-Lundberg model.Investment in the foreign markets is allowed,and the...In this paper,we study the optimal investment problem of an insurer whose surplus process follows the diffusion approximation of the classical Cramer-Lundberg model.Investment in the foreign markets is allowed,and therefore,the foreign exchange rate model is incorporated.Under the allowing of selling and borrowing,the problem of maximizing the expected exponential utility of terminal wealth is studied.By solving the corresponding Hamilton-Jacobi-Bellman equations,the optimal investment strategies and value functions are obtained.Finally,numerical analysis is presented.展开更多
Agriculture has become the backbone of most developing countries in the world, especially Tubah Sub-Division North West region, Cameroon. Following the COVID-19 pandemic and socio-political crisis that hit Cameroon’s...Agriculture has become the backbone of most developing countries in the world, especially Tubah Sub-Division North West region, Cameroon. Following the COVID-19 pandemic and socio-political crisis that hit Cameroon’s economy, there has been a steady increase in food insecurity, which has paved the way for farmers to adopt some sustainable strategies to boost agricultural productivity. Therefore, in trying to find models for survival and the pursuit of growth, farmers adopted some traditional farming methods and the use of local input as a means of sustainability. This study specifically seeks to analyze the effect of sustainability strategies on agricultural productivity in Tubah sub-division North West Region, Cameroon. The data was elicited via a survey questionnaire administered to 202 participating farmers selected from the different farmer organizations in the Tubah sub-division. Using cluster-sampling approach, proximity villages were grouped into four clusters of villages, and stratified sampling was used to select farmers to participate in the study. The objective of the study was achieved using OLS and quantile regression estimation techniques. The result showed evidence that the sustainability strategies implemented by the farmers decreased agricultural productivity in the 25th quantile, and at the 50th and 75th quantile, agricultural productivity still declined. This decline is because of unsustainable agricultural strategies like the use of slash and burn, the use of chemical fertilizers, inadequate capital, low level of education, inadequate farming experience, inadequate income, inadequate farm size, and the type of technology used for farming. Based on the findings, this study recommends that the government should organize training programs and seminars, subsidize farm inputs, grant agricultural loans to farmers, and initiate and support mechanized agriculture to boost agricultural productivity.展开更多
Background:The academic community is increasingly interested in understanding the mechanisms through which gratitude influences coping strategies.In addition,the role of gratitude in fostering long-term resilience and...Background:The academic community is increasingly interested in understanding the mechanisms through which gratitude influences coping strategies.In addition,the role of gratitude in fostering long-term resilience and mental health outcomes has garnered significant attention.This study explores the mechanisms through which gratitude affects problem-focused coping strategies and emotion-focused coping strategies by constructing models involving gratitude,perceived social support,self-esteem,and problem-focused coping strategies,as well as models involving gratitude,perceived social support,self-esteem,and emotion-focused coping strategies.Methods:A longitudinal survey was conducted on 1666 Chinese university students using highly reliable and valid scales,including the Gratitude Scale,Perceived Social Support Scale,Self-Esteem Scale,and Brief Coping Strategies Scale.To examine whether perceived social support and self-esteem play a significant indirect role in the relationship between gratitude and problem-focused coping strategies,as well as between gratitude and emotion-focused coping strategies.Differences in variables based on demographic variables:We used one-way ANOVA to test the differences in gratitude,perceived social support,self-esteem,problem-focused coping strategies,and emotion-focused coping strategies among students of different grades and ages.Additionally,independent samples t-tests were used to examine the differences between students of different genders and household registrations.Results:The study found that(1)Gratitude significantly positively predicted perceived social support(β=0.661,p<0.001),self-esteem(β=0.234,p<0.001),and problemfocused coping strategies(β=0.130,p<0.001);(2)Perceived social support significantly positively predicted self-esteem(β=0.440,p<0.001;β=0.439,p<0.001),problem-focused coping strategies(β=0.443,p<0.001),and emotion-focused coping strategies(β=0.279,p<0.001);(3)Self-esteem significantly positively predicted problem-focused coping strategies(β=0.172,p<0.001)and significantly negatively predicted emotion-focused coping strategies(β=−0.205,p<0.001);(4)Gratitude can influence problem-focused coping strategies through the dual indirect effect of two mediating variables.After the inclusion of the mediating variables,the effect of problem-focused coping strategies in the indirect model was further strengthened.(5)Gratitude can influence emotion-focused coping strategies through a completely indirect effect on perceived social support and self-esteem.After inserting the mediating variables,the effect of emotionfocused coping strategies in the mediating model is enhanced.Conclusion:Gratitude can directly and positively predict problem-focused coping strategies,and it can also positively predict problem-focused coping strategies through the dual indirect effect of two mediating variables.Gratitude does not significantly predict emotion-focused coping strategies directly,but it can influence emotion-focused coping strategies via a double indirect pathway.展开更多
This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this end, an improved Sparrow an...This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this end, an improved Sparrow and Eagle Optimization Algorithm (HS-SBOA) is proposed. Initially, the algorithm employs Iterative Mapping to generate an initial sparrow and eagle population, enhancing the diversity of the population during the global search phase. Subsequently, an adaptive weighting strategy is introduced during the exploration phase of the algorithm to achieve a balance between exploration and exploitation. Finally, to avoid the algorithm falling into local optima, a Cauchy mutation operation is applied to the current best individual. To validate the performance of the HS-SBOA algorithm, it was applied to the CEC2021 benchmark function set and three practical engineering problems, and compared with other optimization algorithms such as the Grey Wolf Optimization (GWO), Particle Swarm Optimization (PSO), and Whale Optimization Algorithm (WOA) to test the effectiveness of the improved algorithm. The simulation experimental results show that the HS-SBOA algorithm demonstrates significant advantages in terms of convergence speed and accuracy, thereby validating the effectiveness of its improved strategies.展开更多
Na_(3)V_(2)(PO_(4))_(3)(NVP)has garnered great attentions as a prospective cathode material for sodium-ion batteries(SIBs)by virtue of its decent theoretical capacity,superior ion conductivity and high structural stab...Na_(3)V_(2)(PO_(4))_(3)(NVP)has garnered great attentions as a prospective cathode material for sodium-ion batteries(SIBs)by virtue of its decent theoretical capacity,superior ion conductivity and high structural stability.However,the inherently poor electronic conductivity and sluggish sodium-ion diffusion kinetics of NVP material give rise to inferior rate performance and unsatisfactory energy density,which strictly confine its further application in SIBs.Thus,it is of significance to boost the sodium storage performance of NVP cathode material.Up to now,many methods have been developed to optimize the electrochemical performance of NVP cathode material.In this review,the latest advances in optimization strategies for improving the electrochemical performance of NVP cathode material are well summarized and discussed,including carbon coating or modification,foreign-ion doping or substitution and nanostructure and morphology design.The foreign-ion doping or substitution is highlighted,involving Na,V,and PO_(4)^(3−)sites,which include single-site doping,multiple-site doping,single-ion doping,multiple-ion doping and so on.Furthermore,the challenges and prospects of high-performance NVP cathode material are also put forward.It is believed that this review can provide a useful reference for designing and developing high-performance NVP cathode material toward the large-scale application in SIBs.展开更多
Dynamic wake field information is vital for the optimized design and control of wind farms.Combined with sparse measurement data from light detection and ranging(LiDAR),the physics-informed neural network(PINN)framewo...Dynamic wake field information is vital for the optimized design and control of wind farms.Combined with sparse measurement data from light detection and ranging(LiDAR),the physics-informed neural network(PINN)frameworks have recently been employed for forecasting freestream wind and wake fields.However,these PINN frameworks face challenges of low prediction accuracy and long training times.Therefore,this paper constructed a PINN framework for dynamic wake field prediction by integrating two accuracy improvement strategies and a step-by-step training time saving strategy.The results showed that the different performance improvement routes significantly improved the overall performance of the PINN.The accuracy and efficiency of the PINN with spatiotemporal improvement strategies were validated via LiDAR-measured data from a wind farm in Shandong province,China.This paper sheds light on load reduction,efficiency improvement,intelligent operation and maintenance of wind farms.展开更多
Zeolite-loaded noble metal catalysts have demonstrated excellent performance in addressing cold-start automotive exhaust NOx emissions and catalytic oxidation of VOCs applications.Pd and Pt are the most commonly used ...Zeolite-loaded noble metal catalysts have demonstrated excellent performance in addressing cold-start automotive exhaust NOx emissions and catalytic oxidation of VOCs applications.Pd and Pt are the most commonly used active metals in PNA and VOC catalysts,respectively.However,despite the same metal/zeolite composition,the efficient active sites for PNA and VOC catalysts have been viewed as mainly Pd2t and Pt0,respectively,both of which are different from each other.As a result,various methods need to be applied to dope Pd and Pt in zeolitic support respectively for different usages.No matter which type of metal species is needed,the common requirement for both PNA and VOC catalysts is that the metal species should be highly dispersed in zeolite support and stay stable.The purpose of this paper is to review the progress of synthetic means of zeolite-coated noble metals(Pd,Pt,etc.)as effective PNA or VOC catalysts.To give a better understanding of the relationship between efficient metal species and the introduced methods,the species that contributed to the NOx adsorption(PNA)and VOCs deep catalytic oxidation were first summarized and compared.Then,based on the above discussion,the detailed construction strategies for different active sites in PNA and VOC catalysts,respectively,were elaborated in terms of synthetic routes,precursor selection,and zeolite carrier requirements.It is hoped that this will contribute to a better understanding of noble metal adsorption/catalysis in zeolites and provide promising strategies for the design of adsorption/catalysts with high activity,selectivity and stability.展开更多
Objectives:The statistics from World Health Organization show a high incidence of childhood maltreatment which has a negative impact on the development of middle school students;for this reason,it is necessary to inve...Objectives:The statistics from World Health Organization show a high incidence of childhood maltreatment which has a negative impact on the development of middle school students;for this reason,it is necessary to investigate the potential harms of childhood maltreatment.This study aimed to explore the direct negative consequences of childhood maltreatment on subjective well-being as well as the mediating roles of shyness and emotion regulation strategies.Methods:A random cluster sampling survey was conducted among 1021 Chinese middle school students(male 49.2%,female 50.8%).The Subjective Well-Being Scale(SWLS),The Positive affect and Negative affect scale(PANAS),and The Childhood Trauma were adopted Questionnaire-28 item Short Form(CTQ-SF),the Cheek and Buss Shyness Scale(RCBS),and the Emotion Regulation Questionnaire(ERQ)for data collection.SPSS PROCESS macros were used for data analysis.Results:The findings demonstrated that:(a)childhood maltreatment was negatively correlated with subjective well-being(r=−0.482,p<0.001);(b)shyness(β=−0.141,95%CI=[−0.190,−0.097])and the two emotion regulation strategies,namely cognitive reappraisal(β=−0.120,95%CI=[−0.167,−0.079])and expression suppression(β=−0.034,95%CI=[−0.063,−0.010]),partially mediated the association between childhood maltreatment and subjective well-being separately;(c)shyness and the two emotion regulation strategies partially mediated the relationship between childhood maltreatment and subjective well-being in a sequential pattern(β=−0.026,95%CI=[−0.041,−0.015];β=−0.022,95%CI=[−0.035,−0.012]).Conclusion:These findings provide new perspectives and strategies to understand and deal with children’s mental health problems.It shows that the intervention of shyness and emotion regulation strategies in adolescents is of great significance to improve individual subjective happiness.展开更多
University student Party branches serve as the Party’s grassroots organizations within universities and act as a bridge and link between the Party and students.Therefore,it is essential to strengthen the development ...University student Party branches serve as the Party’s grassroots organizations within universities and act as a bridge and link between the Party and students.Therefore,it is essential to strengthen the development of student Party branches and enhance the effectiveness of student Party member education and training.This paper summarizes and analyzes the issues in the construction of student Party branches in universities and explores strategies for improving their quality,aiming to provide a reference for relevant personnel.展开更多
In the task of Facial Expression Recognition(FER),data uncertainty has been a critical factor affecting performance,typically arising from the ambiguity of facial expressions,low-quality images,and the subjectivity of...In the task of Facial Expression Recognition(FER),data uncertainty has been a critical factor affecting performance,typically arising from the ambiguity of facial expressions,low-quality images,and the subjectivity of annotators.Tracking the training history reveals that misclassified samples often exhibit high confidence and excessive uncertainty in the early stages of training.To address this issue,we propose an uncertainty-based robust sample selection strategy,which combines confidence error with RandAugment to improve image diversity,effectively reducing overfitting caused by uncertain samples during deep learning model training.To validate the effectiveness of the proposed method,extensive experiments were conducted on FER public benchmarks.The accuracy obtained were 89.08%on RAF-DB,63.12%on AffectNet,and 88.73%on FERPlus.展开更多
Frailty has emerged as a pivotal determinant of post-liver transplant(LT)outcomes,yet its integration into clinical practice remains inconsistent.Defined by functional impairments and reduced physiologic reserve,frail...Frailty has emerged as a pivotal determinant of post-liver transplant(LT)outcomes,yet its integration into clinical practice remains inconsistent.Defined by functional impairments and reduced physiologic reserve,frailty transcends traditional metrics like the model for end-stage liver disease(MELD)score,demonstrating increasing predictive value for mortality beyond the immediate postoperative period.Recent findings suggest that frail recipients experience significantly higher mortality within the first 12 months following transplantation—a period when traditional monitoring often wanes.This raises critical questions about the adequacy of current assessment and follow-up protocols.The observed dissociation between MELD scores and long-term survival underscores the limitations of existing selection criteria.Frailty,as a dynamic and modifiable condition,represents an opportunity for targeted intervention.Prehabilitation programs focusing on nutritional optimization,physical rehabilitation,and psychosocial support could enhance resilience in transplant candidates,reducing their risk profile and improving post-transplant outcomes.Furthermore,these findings call for an expanded approach to post-transplant monitoring.Extending surveillance for frail recipients beyond standard timelines may facilitate early detection of complications,mitigating their impact on survival.Incorporating frailty into both pre-and post-transplant protocols could redefine how transplant centers evaluate and manage risk.This editorial advocates for a paradigm shift:Frailty must no longer be viewed as a secondary consideration but as a core element in LT care.By addressing frailty comprehensively,we can move toward more personalized,effective strategies that improve survival and quality of life for LT recipients.展开更多
Student engagement in learning is a concern for teachers in the implementation of blended learning,which reflects the effectiveness of the pedagogical measures taken by teachers.Blended learning encompasses traditiona...Student engagement in learning is a concern for teachers in the implementation of blended learning,which reflects the effectiveness of the pedagogical measures taken by teachers.Blended learning encompasses traditional blended,blended online,and blended synchronous,which combine synchronous and asynchronous teaching and learning activities.This paper adopts an inductive approach to investigate and analyse students‘engagement in learning from three dimensions:behavioural,affective and cognitive,specifically focusing on three meta-categories,namely,course structure and arrangement,choice of teaching and learning activities,and teacher’s role in relation to the course,to investigate the teaching of teachers of different disciplines in three vocational colleges and to analyse the pedagogical strategies that the teachers use in order to improve students’engagement in blended learning.The findings suggest that communicating about the course at the beginning of the semester,clarifying course requirements,and building a trusting relationship with students play a key role in increasing student engagement in blended learning,and that the use of digital tools is an important means of promoting students’behavioural and emotional active participation in learning.展开更多
This article focuses on the study of high school English teaching strategies from an interdisciplinary perspective.Through an in-depth analysis of the significance and implementation path of interdisciplinary teaching...This article focuses on the study of high school English teaching strategies from an interdisciplinary perspective.Through an in-depth analysis of the significance and implementation path of interdisciplinary teaching in high school English education,combined with practical teaching cases to explore how to effectively integrate knowledge from other disciplines with English teaching,this study aims to provide a useful reference for improving the quality of high school English teaching and cultivating students’comprehensive literacy.Interdisciplinary teaching can significantly stimulate students’interest in learning and improve their language proficiency and interdisciplinary thinking,laying a solid foundation for their future development.展开更多
Assessment is a crucial aspect of the teaching process for teachers.Teachers’assessment literacy is closely related to students’learning outcomes.The language assessment literacy of foreign language teachers is a si...Assessment is a crucial aspect of the teaching process for teachers.Teachers’assessment literacy is closely related to students’learning outcomes.The language assessment literacy of foreign language teachers is a significant component of both teachers’professional development and students’learning,and it has become a research hotspot in the field of domestic language testing.Based on clarifying the theoretical framework of language assessment literacy,this paper proposes the main cultivation paths for pre-service English teachers’language assessment literacy,aiming to provide inspiration and references for the cultivation,reform,and development of teachers in basic foreign language education.展开更多
This study examines the current state of informatization education among county high school students.While students demonstrate a strong demand for informatization education,they face significant challenges,including ...This study examines the current state of informatization education among county high school students.While students demonstrate a strong demand for informatization education,they face significant challenges,including inadequate hardware,limited access to online learning resources,and insufficient teacher proficiency in informatization education.Through a questionnaire survey,the research reveals an urgent need for expanded information technology courses and specialized training programs.In response,this paper proposes strategies such as increasing investment in IT education,optimizing teaching methodologies,and providing additional learning opportunities to enhance student engagement and comprehensively improve the quality of IT education and learning outcomes in county high schools.展开更多
文摘Building a technology alliance is the main strategy for the United States to maintain its scientific and technological hegemony under its technopolitical strategic framework.After Joe Biden took office,the United States implemented“small yard with high fences”strategy for scientific and technological competition,as the first step toward building a technology alliance.The main goal is to restrict the flow of strategic emerging technologies and factors of innovation to rival countries.
文摘Self-serving,rational agents sometimes cooperate to their mutual benefit.The two-player iterated prisoner′s dilemma game is a model for including the emergence of cooperation.It is generally believed that there is no simple ultimatum strategy which a player can control the return of the other participants.The zero-determinant strategy in the iterated prisoner′s dilemma dramatically expands our understanding of the classic game by uncovering strategies that provide a unilateral advantage to sentient players pitted against unwitting opponents.However,strategies in the prisoner′s dilemma game are only two strategies.Are there these results for general multi-strategy games?To address this question,the paper develops a theory for zero-determinant strategies for multi-strategy games,with any number of strategies.The analytical results exhibit a similar yet different scenario to the case of two-strategy games.The results are also applied to the Snowdrift game,the Hawk-Dove game and the Chicken game.
基金supported by National Natural Science Foundations of China(nos.12271326,62102304,61806120,61502290,61672334,61673251)China Postdoctoral Science Foundation(no.2015M582606)+2 种基金Industrial Research Project of Science and Technology in Shaanxi Province(nos.2015GY016,2017JQ6063)Fundamental Research Fund for the Central Universities(no.GK202003071)Natural Science Basic Research Plan in Shaanxi Province of China(no.2022JM-354).
文摘The multi-objective particle swarm optimization algorithm(MOPSO)is widely used to solve multi-objective optimization problems.In the article,amulti-objective particle swarm optimization algorithmbased on decomposition and multi-selection strategy is proposed to improve the search efficiency.First,two update strategies based on decomposition are used to update the evolving population and external archive,respectively.Second,a multiselection strategy is designed.The first strategy is for the subspace without a non-dominated solution.Among the neighbor particles,the particle with the smallest penalty-based boundary intersection value is selected as the global optimal solution and the particle far away fromthe search particle and the global optimal solution is selected as the personal optimal solution to enhance global search.The second strategy is for the subspace with a non-dominated solution.In the neighbor particles,two particles are randomly selected,one as the global optimal solution and the other as the personal optimal solution,to enhance local search.The third strategy is for Pareto optimal front(PF)discontinuity,which is identified by the cumulative number of iterations of the subspace without non-dominated solutions.In the subsequent iteration,a new probability distribution is used to select from the remaining subspaces to search.Third,an adaptive inertia weight update strategy based on the dominated degree is designed to further improve the search efficiency.Finally,the proposed algorithmis compared with fivemulti-objective particle swarm optimization algorithms and five multi-objective evolutionary algorithms on 22 test problems.The results show that the proposed algorithm has better performance.
基金supported by a Horizontal Project on the Development of a Hybrid Energy Storage Simulation Model for Wind Power Based on an RT-LAB Simulation System(PH2023000190)the Inner Mongolia Natural Science Foundation Project and the Optimization of Exergy Efficiency of a Hybrid Energy Storage System with Crossover Control for Wind Power(2023JQ04).
文摘Present of wind power is sporadically and cannot be utilized as the only fundamental load of energy sources.This paper proposes a wind-solar hybrid energy storage system(HESS)to ensure a stable supply grid for a longer period.A multi-objective genetic algorithm(MOGA)and state of charge(SOC)region division for the batteries are introduced to solve the objective function and configuration of the system capacity,respectively.MATLAB/Simulink was used for simulation test.The optimization results show that for a 0.5 MW wind power and 0.5 MW photovoltaic system,with a combination of a 300 Ah lithium battery,a 200 Ah lead-acid battery,and a water storage tank,the proposed strategy reduces the system construction cost by approximately 18,000 yuan.Additionally,the cycle count of the electrochemical energy storage systemincreases from4515 to 4660,while the depth of discharge decreases from 55.37%to 53.65%,achieving shallow charging and discharging,thereby extending battery life and reducing grid voltage fluctuations significantly.The proposed strategy is a guide for stabilizing the grid connection of wind and solar power generation,capability allocation,and energy management of energy conservation systems.
文摘In reward-based crowdfunding, projects are to disclose the operational risks and mitigation strategies for delivering the physical rewards during the funding phase. However, limited knowledge exists regarding projects’ operational risks and mitigation strategies during the funding phase. In contributing to the literature, the study uses data on Kickstarter.com and conducts a content analysis to explore themes and their relationships. The results reveal various operational risks and associated mitigation strategies. Among the identified themes, product-related, contract manufacturers, and supply markets are the most expected risks, while outsourced production and proactive sourcing are the popular mitigation strategies. Also, the finding reveals that proactive sourcing and outsourced production, in-house production and post-campaign sourcing, contract manufacturer risk, and project internal risk are themes forming clusters. The results extend crowdfunding risk disclosure literature and set the tone for future research in crowdfunding operational risk management. Finally, other business implications are drawn for crowdfunding practitioners.
基金supported by the National Natural Science Foundation of China(Grant No.12301603).
文摘In this paper,we study the optimal investment problem of an insurer whose surplus process follows the diffusion approximation of the classical Cramer-Lundberg model.Investment in the foreign markets is allowed,and therefore,the foreign exchange rate model is incorporated.Under the allowing of selling and borrowing,the problem of maximizing the expected exponential utility of terminal wealth is studied.By solving the corresponding Hamilton-Jacobi-Bellman equations,the optimal investment strategies and value functions are obtained.Finally,numerical analysis is presented.
文摘Agriculture has become the backbone of most developing countries in the world, especially Tubah Sub-Division North West region, Cameroon. Following the COVID-19 pandemic and socio-political crisis that hit Cameroon’s economy, there has been a steady increase in food insecurity, which has paved the way for farmers to adopt some sustainable strategies to boost agricultural productivity. Therefore, in trying to find models for survival and the pursuit of growth, farmers adopted some traditional farming methods and the use of local input as a means of sustainability. This study specifically seeks to analyze the effect of sustainability strategies on agricultural productivity in Tubah sub-division North West Region, Cameroon. The data was elicited via a survey questionnaire administered to 202 participating farmers selected from the different farmer organizations in the Tubah sub-division. Using cluster-sampling approach, proximity villages were grouped into four clusters of villages, and stratified sampling was used to select farmers to participate in the study. The objective of the study was achieved using OLS and quantile regression estimation techniques. The result showed evidence that the sustainability strategies implemented by the farmers decreased agricultural productivity in the 25th quantile, and at the 50th and 75th quantile, agricultural productivity still declined. This decline is because of unsustainable agricultural strategies like the use of slash and burn, the use of chemical fertilizers, inadequate capital, low level of education, inadequate farming experience, inadequate income, inadequate farm size, and the type of technology used for farming. Based on the findings, this study recommends that the government should organize training programs and seminars, subsidize farm inputs, grant agricultural loans to farmers, and initiate and support mechanized agriculture to boost agricultural productivity.
基金Tourism College of Zhejiang Fund provided financial support for this research(Project Number:2023CGYB05).
文摘Background:The academic community is increasingly interested in understanding the mechanisms through which gratitude influences coping strategies.In addition,the role of gratitude in fostering long-term resilience and mental health outcomes has garnered significant attention.This study explores the mechanisms through which gratitude affects problem-focused coping strategies and emotion-focused coping strategies by constructing models involving gratitude,perceived social support,self-esteem,and problem-focused coping strategies,as well as models involving gratitude,perceived social support,self-esteem,and emotion-focused coping strategies.Methods:A longitudinal survey was conducted on 1666 Chinese university students using highly reliable and valid scales,including the Gratitude Scale,Perceived Social Support Scale,Self-Esteem Scale,and Brief Coping Strategies Scale.To examine whether perceived social support and self-esteem play a significant indirect role in the relationship between gratitude and problem-focused coping strategies,as well as between gratitude and emotion-focused coping strategies.Differences in variables based on demographic variables:We used one-way ANOVA to test the differences in gratitude,perceived social support,self-esteem,problem-focused coping strategies,and emotion-focused coping strategies among students of different grades and ages.Additionally,independent samples t-tests were used to examine the differences between students of different genders and household registrations.Results:The study found that(1)Gratitude significantly positively predicted perceived social support(β=0.661,p<0.001),self-esteem(β=0.234,p<0.001),and problemfocused coping strategies(β=0.130,p<0.001);(2)Perceived social support significantly positively predicted self-esteem(β=0.440,p<0.001;β=0.439,p<0.001),problem-focused coping strategies(β=0.443,p<0.001),and emotion-focused coping strategies(β=0.279,p<0.001);(3)Self-esteem significantly positively predicted problem-focused coping strategies(β=0.172,p<0.001)and significantly negatively predicted emotion-focused coping strategies(β=−0.205,p<0.001);(4)Gratitude can influence problem-focused coping strategies through the dual indirect effect of two mediating variables.After the inclusion of the mediating variables,the effect of problem-focused coping strategies in the indirect model was further strengthened.(5)Gratitude can influence emotion-focused coping strategies through a completely indirect effect on perceived social support and self-esteem.After inserting the mediating variables,the effect of emotionfocused coping strategies in the mediating model is enhanced.Conclusion:Gratitude can directly and positively predict problem-focused coping strategies,and it can also positively predict problem-focused coping strategies through the dual indirect effect of two mediating variables.Gratitude does not significantly predict emotion-focused coping strategies directly,but it can influence emotion-focused coping strategies via a double indirect pathway.
文摘This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this end, an improved Sparrow and Eagle Optimization Algorithm (HS-SBOA) is proposed. Initially, the algorithm employs Iterative Mapping to generate an initial sparrow and eagle population, enhancing the diversity of the population during the global search phase. Subsequently, an adaptive weighting strategy is introduced during the exploration phase of the algorithm to achieve a balance between exploration and exploitation. Finally, to avoid the algorithm falling into local optima, a Cauchy mutation operation is applied to the current best individual. To validate the performance of the HS-SBOA algorithm, it was applied to the CEC2021 benchmark function set and three practical engineering problems, and compared with other optimization algorithms such as the Grey Wolf Optimization (GWO), Particle Swarm Optimization (PSO), and Whale Optimization Algorithm (WOA) to test the effectiveness of the improved algorithm. The simulation experimental results show that the HS-SBOA algorithm demonstrates significant advantages in terms of convergence speed and accuracy, thereby validating the effectiveness of its improved strategies.
基金partly supported by the National Natural Science Foundation of China(Grant No.52272225).
文摘Na_(3)V_(2)(PO_(4))_(3)(NVP)has garnered great attentions as a prospective cathode material for sodium-ion batteries(SIBs)by virtue of its decent theoretical capacity,superior ion conductivity and high structural stability.However,the inherently poor electronic conductivity and sluggish sodium-ion diffusion kinetics of NVP material give rise to inferior rate performance and unsatisfactory energy density,which strictly confine its further application in SIBs.Thus,it is of significance to boost the sodium storage performance of NVP cathode material.Up to now,many methods have been developed to optimize the electrochemical performance of NVP cathode material.In this review,the latest advances in optimization strategies for improving the electrochemical performance of NVP cathode material are well summarized and discussed,including carbon coating or modification,foreign-ion doping or substitution and nanostructure and morphology design.The foreign-ion doping or substitution is highlighted,involving Na,V,and PO_(4)^(3−)sites,which include single-site doping,multiple-site doping,single-ion doping,multiple-ion doping and so on.Furthermore,the challenges and prospects of high-performance NVP cathode material are also put forward.It is believed that this review can provide a useful reference for designing and developing high-performance NVP cathode material toward the large-scale application in SIBs.
基金supported by the National Natural Science Foundation of China(Grant Nos.12072105,11932006,and 52308498)the Natural Science Foundation of Jiangsu Province,China(Grant No.BK20220976).
文摘Dynamic wake field information is vital for the optimized design and control of wind farms.Combined with sparse measurement data from light detection and ranging(LiDAR),the physics-informed neural network(PINN)frameworks have recently been employed for forecasting freestream wind and wake fields.However,these PINN frameworks face challenges of low prediction accuracy and long training times.Therefore,this paper constructed a PINN framework for dynamic wake field prediction by integrating two accuracy improvement strategies and a step-by-step training time saving strategy.The results showed that the different performance improvement routes significantly improved the overall performance of the PINN.The accuracy and efficiency of the PINN with spatiotemporal improvement strategies were validated via LiDAR-measured data from a wind farm in Shandong province,China.This paper sheds light on load reduction,efficiency improvement,intelligent operation and maintenance of wind farms.
基金supported by Zhongtian Iron and Steel-University of Science and Technology Beijing Youth Science and Technology Innovation Fund(No.FZTNTC2024050005)National Engineering Laboratory for Mobile Source Emission Control Technology,China(No.NELMS2020A07)The Fundamental Research Funds for the Central Universities,China(No.FRF-AT-20-12)。
文摘Zeolite-loaded noble metal catalysts have demonstrated excellent performance in addressing cold-start automotive exhaust NOx emissions and catalytic oxidation of VOCs applications.Pd and Pt are the most commonly used active metals in PNA and VOC catalysts,respectively.However,despite the same metal/zeolite composition,the efficient active sites for PNA and VOC catalysts have been viewed as mainly Pd2t and Pt0,respectively,both of which are different from each other.As a result,various methods need to be applied to dope Pd and Pt in zeolitic support respectively for different usages.No matter which type of metal species is needed,the common requirement for both PNA and VOC catalysts is that the metal species should be highly dispersed in zeolite support and stay stable.The purpose of this paper is to review the progress of synthetic means of zeolite-coated noble metals(Pd,Pt,etc.)as effective PNA or VOC catalysts.To give a better understanding of the relationship between efficient metal species and the introduced methods,the species that contributed to the NOx adsorption(PNA)and VOCs deep catalytic oxidation were first summarized and compared.Then,based on the above discussion,the detailed construction strategies for different active sites in PNA and VOC catalysts,respectively,were elaborated in terms of synthetic routes,precursor selection,and zeolite carrier requirements.It is hoped that this will contribute to a better understanding of noble metal adsorption/catalysis in zeolites and provide promising strategies for the design of adsorption/catalysts with high activity,selectivity and stability.
基金Funded by the scientific research project of Hunan Department of Education(23A0098).
文摘Objectives:The statistics from World Health Organization show a high incidence of childhood maltreatment which has a negative impact on the development of middle school students;for this reason,it is necessary to investigate the potential harms of childhood maltreatment.This study aimed to explore the direct negative consequences of childhood maltreatment on subjective well-being as well as the mediating roles of shyness and emotion regulation strategies.Methods:A random cluster sampling survey was conducted among 1021 Chinese middle school students(male 49.2%,female 50.8%).The Subjective Well-Being Scale(SWLS),The Positive affect and Negative affect scale(PANAS),and The Childhood Trauma were adopted Questionnaire-28 item Short Form(CTQ-SF),the Cheek and Buss Shyness Scale(RCBS),and the Emotion Regulation Questionnaire(ERQ)for data collection.SPSS PROCESS macros were used for data analysis.Results:The findings demonstrated that:(a)childhood maltreatment was negatively correlated with subjective well-being(r=−0.482,p<0.001);(b)shyness(β=−0.141,95%CI=[−0.190,−0.097])and the two emotion regulation strategies,namely cognitive reappraisal(β=−0.120,95%CI=[−0.167,−0.079])and expression suppression(β=−0.034,95%CI=[−0.063,−0.010]),partially mediated the association between childhood maltreatment and subjective well-being separately;(c)shyness and the two emotion regulation strategies partially mediated the relationship between childhood maltreatment and subjective well-being in a sequential pattern(β=−0.026,95%CI=[−0.041,−0.015];β=−0.022,95%CI=[−0.035,−0.012]).Conclusion:These findings provide new perspectives and strategies to understand and deal with children’s mental health problems.It shows that the intervention of shyness and emotion regulation strategies in adolescents is of great significance to improve individual subjective happiness.
文摘University student Party branches serve as the Party’s grassroots organizations within universities and act as a bridge and link between the Party and students.Therefore,it is essential to strengthen the development of student Party branches and enhance the effectiveness of student Party member education and training.This paper summarizes and analyzes the issues in the construction of student Party branches in universities and explores strategies for improving their quality,aiming to provide a reference for relevant personnel.
文摘In the task of Facial Expression Recognition(FER),data uncertainty has been a critical factor affecting performance,typically arising from the ambiguity of facial expressions,low-quality images,and the subjectivity of annotators.Tracking the training history reveals that misclassified samples often exhibit high confidence and excessive uncertainty in the early stages of training.To address this issue,we propose an uncertainty-based robust sample selection strategy,which combines confidence error with RandAugment to improve image diversity,effectively reducing overfitting caused by uncertain samples during deep learning model training.To validate the effectiveness of the proposed method,extensive experiments were conducted on FER public benchmarks.The accuracy obtained were 89.08%on RAF-DB,63.12%on AffectNet,and 88.73%on FERPlus.
文摘Frailty has emerged as a pivotal determinant of post-liver transplant(LT)outcomes,yet its integration into clinical practice remains inconsistent.Defined by functional impairments and reduced physiologic reserve,frailty transcends traditional metrics like the model for end-stage liver disease(MELD)score,demonstrating increasing predictive value for mortality beyond the immediate postoperative period.Recent findings suggest that frail recipients experience significantly higher mortality within the first 12 months following transplantation—a period when traditional monitoring often wanes.This raises critical questions about the adequacy of current assessment and follow-up protocols.The observed dissociation between MELD scores and long-term survival underscores the limitations of existing selection criteria.Frailty,as a dynamic and modifiable condition,represents an opportunity for targeted intervention.Prehabilitation programs focusing on nutritional optimization,physical rehabilitation,and psychosocial support could enhance resilience in transplant candidates,reducing their risk profile and improving post-transplant outcomes.Furthermore,these findings call for an expanded approach to post-transplant monitoring.Extending surveillance for frail recipients beyond standard timelines may facilitate early detection of complications,mitigating their impact on survival.Incorporating frailty into both pre-and post-transplant protocols could redefine how transplant centers evaluate and manage risk.This editorial advocates for a paradigm shift:Frailty must no longer be viewed as a secondary consideration but as a core element in LT care.By addressing frailty comprehensively,we can move toward more personalized,effective strategies that improve survival and quality of life for LT recipients.
文摘Student engagement in learning is a concern for teachers in the implementation of blended learning,which reflects the effectiveness of the pedagogical measures taken by teachers.Blended learning encompasses traditional blended,blended online,and blended synchronous,which combine synchronous and asynchronous teaching and learning activities.This paper adopts an inductive approach to investigate and analyse students‘engagement in learning from three dimensions:behavioural,affective and cognitive,specifically focusing on three meta-categories,namely,course structure and arrangement,choice of teaching and learning activities,and teacher’s role in relation to the course,to investigate the teaching of teachers of different disciplines in three vocational colleges and to analyse the pedagogical strategies that the teachers use in order to improve students’engagement in blended learning.The findings suggest that communicating about the course at the beginning of the semester,clarifying course requirements,and building a trusting relationship with students play a key role in increasing student engagement in blended learning,and that the use of digital tools is an important means of promoting students’behavioural and emotional active participation in learning.
文摘This article focuses on the study of high school English teaching strategies from an interdisciplinary perspective.Through an in-depth analysis of the significance and implementation path of interdisciplinary teaching in high school English education,combined with practical teaching cases to explore how to effectively integrate knowledge from other disciplines with English teaching,this study aims to provide a useful reference for improving the quality of high school English teaching and cultivating students’comprehensive literacy.Interdisciplinary teaching can significantly stimulate students’interest in learning and improve their language proficiency and interdisciplinary thinking,laying a solid foundation for their future development.
基金2021 Young Teacher Research Funding Project of Hubei Normal University(HS2021QN014)。
文摘Assessment is a crucial aspect of the teaching process for teachers.Teachers’assessment literacy is closely related to students’learning outcomes.The language assessment literacy of foreign language teachers is a significant component of both teachers’professional development and students’learning,and it has become a research hotspot in the field of domestic language testing.Based on clarifying the theoretical framework of language assessment literacy,this paper proposes the main cultivation paths for pre-service English teachers’language assessment literacy,aiming to provide inspiration and references for the cultivation,reform,and development of teachers in basic foreign language education.
文摘This study examines the current state of informatization education among county high school students.While students demonstrate a strong demand for informatization education,they face significant challenges,including inadequate hardware,limited access to online learning resources,and insufficient teacher proficiency in informatization education.Through a questionnaire survey,the research reveals an urgent need for expanded information technology courses and specialized training programs.In response,this paper proposes strategies such as increasing investment in IT education,optimizing teaching methodologies,and providing additional learning opportunities to enhance student engagement and comprehensively improve the quality of IT education and learning outcomes in county high schools.
