With the increasingly prominent trend of globalization,English,as the common language of international communication,plays an increasingly important role in university education.As a key link in English teaching,the c...With the increasingly prominent trend of globalization,English,as the common language of international communication,plays an increasingly important role in university education.As a key link in English teaching,the college English audio-visual oral course not only imparts language knowledge and skills,but also shoulders the important task of cultivating students’critical thinking.As one of the essential core qualities of modern talents,critical thinking ability plays an irreplaceable role in students’in-depth understanding of English knowledge,improving intercultural communication ability and cultivating innovative thinking.This paper expounds the significance of cultivating students’critical thinking ability in college English audio-visual and oral teaching,and puts forward a series of innovative teaching strategies to cultivate students’critical thinking ability combined with practical teaching experience and cutting-edge education theory,in order to provide new ideas and practical guidance for the improvement of college English teaching quality and the development of students’comprehensive quality.展开更多
The advancement of Artificial Intelligence(AI)has garnered significant attention within the academic research community,reflecting the prevailing zeitgeist.However,there is a paucity of literature that has delved into...The advancement of Artificial Intelligence(AI)has garnered significant attention within the academic research community,reflecting the prevailing zeitgeist.However,there is a paucity of literature that has delved into its connection with the higher order thinking skills of human beings.The purpose of this systematic review is to investigate the relationship between AI utilization and the development of critical thinking(CT)in the field of education.A systematic literature search was performed in two databases,Web of Science and Scopus,with a focus on empirical studies related to AI and CT.The review process followed the PRISMA framework and adopted a bottom-up approach,Ultimately,the integrated review synthesized 21 eligible studies from a total of 649 articles.The systematic review identified three relationships between AI technologies and CT.The results suggest that AI technologies can help to enhance learners’CT skills(n=13).However,excessive or inappropriate utilization of AI may hinder CT development(n=7).Moreover,the cultivation of CT skills has been shown to positively influence the effectiveness of AI utilization(n=4).This article represents the first literature review to delve into the reciprocal relationship between AI implementation and CT development within the education field,striving to illuminate the ways in which learners can enhance their higher-order thinking skills through more effective utilization of AI technologies.展开更多
The present study explores the importance of developing metaphorical thinking skills in students within the framework of English as a Foreign Language(EFL)reading courses at the tertiary educational level.Metaphorical...The present study explores the importance of developing metaphorical thinking skills in students within the framework of English as a Foreign Language(EFL)reading courses at the tertiary educational level.Metaphorical thinking is viewed as the ability to envisage the world figuratively,perceive associatively,and express oneself creatively.It is crucial to recognize metaphors in texts,interpret the complex images they evoke,and generate new metaphors.It is especially needful in the current era of clip thinking and fragmented information processing when students often approach content superficially rather than comprehensively,leading to decreased cognitive activity and a diminished capacity to understand literature.To foster metaphorical thinking,the paper suggests building a text associative-semantic field focusing on metaphors.Due to its hierarchical structure,which can be envisioned as a dense nucleus surrounded by a central region of synonyms and further enveloped by a periphery of more loosely associated linguistic units,the text associative-semantic field is seen as a potent solution for facilitating improved visualization and more holistic comprehension of information,allowing students for expanding their vocabulary and strengthening associative connections.Notably,the study highlights analyzing the metaphors of emotional states as they contribute significantly to a more profound interpretation of the text,understanding the writer’s unique style,deepening the students’engagement with the book,and expanding their emotional experiences.展开更多
We investigate theoretically the effects of chirped laser pulses on high-order harmonic generation(HHG)from solids.We find that the harmonic spectra display redshifts for the driving laser pulses with negative chirp a...We investigate theoretically the effects of chirped laser pulses on high-order harmonic generation(HHG)from solids.We find that the harmonic spectra display redshifts for the driving laser pulses with negative chirp and blueshifts for those with positive chirp,which is due to the change in the instantaneous frequency of the driving laser for different chirped pulses.The analysis of crystal-momentum-resolved(k-resolved)HHG reveals that the frequency shifts are equal for the harmonics generated by different crystal momentum channels.The frequency shifts in the cutoff region are larger than those in the plateau region.With the increase of the absolute value of the chirp parameters,the frequency shifts of HHG become more significant,leading to the shifts from odd-to even-order harmonics.We also demonstrate that the frequency shifts of harmonic spectra are related to the duration of the chirped laser field,but are insensitive to the laser intensity and dephasing time.展开更多
A new oxidative N-heterocyclic carbene(NHC)-catalyzed high-order[7+3]annulation reaction ofγ-indolyl phenols as 1,7-dinucleophiles andα,β-alkynals with the aid of Sc(OTf)_(3)is reported,enabling the highly regiosel...A new oxidative N-heterocyclic carbene(NHC)-catalyzed high-order[7+3]annulation reaction ofγ-indolyl phenols as 1,7-dinucleophiles andα,β-alkynals with the aid of Sc(OTf)_(3)is reported,enabling the highly regioselective access to unprecedented polyarene-fused ten-membered lactams bearing a bridged aryl-aryl-indole scaffold in moderate to good yields.This protocol demonstrates a broad substrate scope,good compatibility with substituents and complete regioselectivity,providing an organocatalytic modular synthetic strategy for creating medium-sized lactams.展开更多
Thermal expansion is crucial for various industrial processes and is increasingly the focus of research endeavors aimed at improving material performance.However,it is the continuous advancements in first-principles c...Thermal expansion is crucial for various industrial processes and is increasingly the focus of research endeavors aimed at improving material performance.However,it is the continuous advancements in first-principles calculations that have enabled researchers to understand the microscopic origins of thermal expansion.In this study,we propose a coefficient of thermal expansion(CTE)calculation scheme based on self-consistent phonon theory,incorporating the fourth-order anharmonicity.We selected four structures(Si,CaZrF_(6),SrTiO_(3),NaBr)to investigate high-order anharmonicity’s impact on their CTEs,based on bonding types.The results indicate that our method goes beyond the second-order quasi-harmonic approximation and the third-order perturbation theory,aligning closely with experimental data.Furthermore,we observed that an increase in the ionicity of the structures leads to a more pronounced influence of high-order anharmonicity on CTE,with this effect primarily manifesting in variations of the Grüneisen parameter.Our research provides a theoretical foundation for accurately predicting and regulating the thermal expansion behavior of materials.展开更多
An efficient and accurate scalar auxiliary variable(SAV)scheme for numerically solving nonlinear parabolic integro-differential equation(PIDE)is developed in this paper.The original equation is first transformed into ...An efficient and accurate scalar auxiliary variable(SAV)scheme for numerically solving nonlinear parabolic integro-differential equation(PIDE)is developed in this paper.The original equation is first transformed into an equivalent system,and the k-order backward differentiation formula(BDF k)and central difference formula are used to discretize the temporal and spatial derivatives,respectively.Different from the traditional discrete method that adopts full implicit or full explicit for the nonlinear integral terms,the proposed scheme is based on the SAV idea and can be treated semi-implicitly,taking into account both accuracy and effectiveness.Numerical results are presented to demonstrate the high-order convergence(up to fourth-order)of the developed schemes and it is computationally efficient in long-time computations.展开更多
We present a comprehensive study on the role of various excited states in high-order harmonic generation of hydrogen atoms driven by a long-wavelength(1500 nm)laser field.By numerically solving the time-dependent Schr...We present a comprehensive study on the role of various excited states in high-order harmonic generation of hydrogen atoms driven by a long-wavelength(1500 nm)laser field.By numerically solving the time-dependent Schrodinger equation(TDSE)and performing a time-frequency analysis,we investigate the influence of individual excited states on the harmonic spectrum.Our results reveal that the 2s excited state primarily contributes to the enhancement of high-energy harmonic yields by facilitating long electron trajectories,while the 2p excited state predominantly suppresses harmonic yields in the lower-energy region(20th-50th orders)by altering the contributions of electron trajectories.Our results highlight the critical role of the excited states in the HHG process,even at longer laser wavelengths.展开更多
The high-speed development of space defense technology demands a high state estimation capacity for spacecraft tracking methods.However,reentry flight is accompanied by complex flight environments,which brings to the ...The high-speed development of space defense technology demands a high state estimation capacity for spacecraft tracking methods.However,reentry flight is accompanied by complex flight environments,which brings to the uncertain,complex,and strongly coupled non-Gaussian detection noise.As a result,there are several intractable considerations on the problem of state estimation tasks corrupted by complex non-Gaussian outliers for non-linear dynamics systems in practical application.To address these issues,a new iterated rational quadratic(RQ)kernel high-order unscented Kalman filtering(IRQHUKF)algorithm via capturing the statistics to break through the limitations of the Gaussian assumption is proposed.Firstly,the characteristic analysis of the RQ kernel is investigated in detail,which is the first attempt to carry out an exploration of the heavy-tailed characteristic and the ability on capturing highorder moments of the RQ kernel.Subsequently,the RQ kernel method is first introduced into the UKF algorithm as an error optimization criterion,termed the iterated RQ kernel-UKF(RQ-UKF)algorithm by derived analytically,which not only retains the high-order moments propagation process but also enhances the approximation capacity in the non-Gaussian noise problem for its ability in capturing highorder moments and heavy-tailed characteristics.Meanwhile,to tackle the limitations of the Gaussian distribution assumption in the linearization process of the non-linear systems,the high-order Sigma Points(SP)as a subsidiary role in propagating the state high-order statistics is devised by the moments matching method to improve the RQ-UKF.Finally,to further improve the flexibility of the IRQ-HUKF algorithm in practical application,an adaptive kernel parameter is derived analytically grounded in the Kullback-Leibler divergence(KLD)method and parametric sensitivity analysis of the RQ kernel.The simulation results demonstrate that the novel IRQ-HUKF algorithm is more robust and outperforms the existing advanced UKF with respect to the kernel method in reentry vehicle tracking scenarios under various noise environments.展开更多
We performed real-time and real-space numerical simulations of high-order harmonic generation in the threedimensional structured molecule methane(CH_(4)) using time-dependent density functional theory. By irradiating ...We performed real-time and real-space numerical simulations of high-order harmonic generation in the threedimensional structured molecule methane(CH_(4)) using time-dependent density functional theory. By irradiating the methane molecule with an elliptically polarized laser pulse polarized in the x–y plane, we observed significant even-order harmonic emission in the z-direction. By analyzing the electron dynamics in the electric field and the multi-orbital effects of the molecule, we revealed that electron recombination near specific atoms in methane is the primary source of highorder harmonic generation in the z-direction. Furthermore, we identified the dominant molecular orbitals responsible for the enhancement of harmonics in this direction and demonstrated the critical role played by multi-orbital effects in this process.展开更多
Historical thinking refers to a cognitive activity or process that integrates general thinking with specific thinking activities unique to the history discipline.Historical thinking skills,therefore,represent the abil...Historical thinking refers to a cognitive activity or process that integrates general thinking with specific thinking activities unique to the history discipline.Historical thinking skills,therefore,represent the ability to solve problems demonstrated within the context of historical thinking activities.Cultivating high school students’historical thinking skills requires teachers to familiarize themselves with the fundamental characteristics of students’historical thinking,guide them in deeply understanding the basic concepts and principles of historical thinking,refine their cognitive structures,innovate teaching,learning,and evaluation methods,and stimulate intrinsic motivation for learning.This is not only a vital field of theoretical research in high school history education but also a key aspect of the reform and development of history teaching in secondary schools.展开更多
Artificial intelligence(AI)is rapidly transforming healthcare and medical education.Strong statistical thinking skills are vital for evaluating and applying AI tools.However,traditional medical statistics education ha...Artificial intelligence(AI)is rapidly transforming healthcare and medical education.Strong statistical thinking skills are vital for evaluating and applying AI tools.However,traditional medical statistics education has not adapted to this demand.This paper first analyzes the connotation and importance of statistical thinking,points out the significant challenges currently faced by medical statistics education,and then proposes strategies such as innovative teaching methods combined with evidence-based medicine,utilizing AI platforms for supplemental teaching,multidisciplinary integration,and strengthening the understanding of the statistical foundations of AI to enhance the statistical thinking abilities of medical professionals.This study emphasizes the importance of cultivating medical statistical thinking in the era of AI to improve the quality of medical education and ensure the safety and effectiveness of future medical services.展开更多
In recent years,service computing has been widely integrated into software development.Web service development,especially under the RESTful schema,needs to guide students in transferring from object-oriented to resour...In recent years,service computing has been widely integrated into software development.Web service development,especially under the RESTful schema,needs to guide students in transferring from object-oriented to resource-oriented architectural thinking and cultivating students’literacy in design thinking,design patterns,and development methods.This paper introduces the foundations of service thinking with a brief review of service sciences,the core features of service thinking,and how to train service thinking of students.It also introduces a case study in Shandong University in the construction of a service computing curriculum system,especially how to highlight the cultivation of service thinking in the design of service software system.展开更多
This study examined the effects of design thinking pedagogy on undergraduates’career decision-making selfefficacy and employability in career education.Using a quasi-experimental design,Chinese college students(N=93)...This study examined the effects of design thinking pedagogy on undergraduates’career decision-making selfefficacy and employability in career education.Using a quasi-experimental design,Chinese college students(N=93)were participants in two wings.The experimental group(n=47)received the design thinking pedagogy,while the control group(n=46)followed the regularly teacher-centered method.The students completed the career decision-making self-efficacy scale and employability scale before and after the intervention.Independent samples t-test results showed that design thinking pedagogy significantly improves students’career decision-making self-efficacy and employability.The ANCOVA results showed that the pretest scores of career decision-making self-efficacy and employability had no significant association with the experimental intervention.There was no interaction between the treatment and pretest scores.It would seem that experimental design thinking pedagogy implemented in career guidance courses has little effect compared to the usual course presentation.Nonetheless,prospects for the implementation of design thinking-guided learning activities to support interdisciplinary learning for improved higher education and career development outcomes need further exploration.展开更多
With the availability of high-performance computing technology and the development of advanced numerical simulation methods, Computational Fluid Dynamics (CFD) is becoming more and more practical and efficient in engi...With the availability of high-performance computing technology and the development of advanced numerical simulation methods, Computational Fluid Dynamics (CFD) is becoming more and more practical and efficient in engineering. As one of the high-precision representative algorithms, the high-order Discontinuous Galerkin Method (DGM) has not only attracted widespread attention from scholars in the CFD research community, but also received strong development. However, when DGM is extended to high-speed aerodynamic flow field calculations, non-physical numerical Gibbs oscillations near shock waves often significantly affect the numerical accuracy and even cause calculation failure. Data driven approaches based on machine learning techniques can be used to learn the characteristics of Gibbs noise, which motivates us to use it in high-speed DG applications. To achieve this goal, labeled data need to be generated in order to train the machine learning models. This paper proposes a new method for denoising modeling of Gibbs phenomenon using a machine learning technique, the zero-shot learning strategy, to eliminate acquiring large amounts of CFD data. The model adopts a graph convolutional network combined with graph attention mechanism to learn the denoising paradigm from synthetic Gibbs noise data and generalize to DGM numerical simulation data. Numerical simulation results show that the Gibbs denoising model proposed in this paper can suppress the numerical oscillation near shock waves in the high-order DGM. Our work automates the extension of DGM to high-speed aerodynamic flow field calculations with higher generalization and lower cost.展开更多
Under the tide of economic globalization,college English teaching should not only focus on the improvement of language ability,but also on the cultivation of students’critical thinking ability.This paper takes the in...Under the tide of economic globalization,college English teaching should not only focus on the improvement of language ability,but also on the cultivation of students’critical thinking ability.This paper takes the integration of language learning and critical thinking ability as the breakthrough point,explores the college English teaching mode under the background of the integration of the two,analyzes the current situation and disadvantages of the separation of the two in the current teaching,and puts forward the integration path from the aspects of curriculum design,teacher training,evaluation system,and so on.With the help of activities such as creating real language situations,carrying out debates and critical reading,it helps students strengthen the improvement of logical analysis and critical thinking ability in their gradual learning,realize the coordinated development of language learning and critical thinking ability,and cultivate compound talents with both language literacy and critical thinking ability for the society.展开更多
The integration of artificial intelligence(AI)is fundamentally reshaping the scientific research,giving rise to a new era of discovery and innovation.This paper explores this transformative shift,introducing an innova...The integration of artificial intelligence(AI)is fundamentally reshaping the scientific research,giving rise to a new era of discovery and innovation.This paper explores this transformative shift,introducing an innovative concept of the“AI-Driven Research Ecosystem”,a dynamic and collaborative research environment.Within this ecosystem,we focus on the unification of human-AI collaboration models and the emerging new research thinking paradigms.We analyze the multifaceted roles of AI within the research lifecycle,spanning from a passive tool to an active assistant and autonomous participants,and categorize these interactions into distinct human-AI collaboration models.Furthermore,we examine how the pervasive involvement of AI necessitates an evolution in human research thinking,emphasizing the significant roles of critical,creative,and computational thinking.Through a review of existing literature and illustrative case studies,this paper provides a comprehensive overview of the AI-driven research ecosystem,highlighting its potential for transforming scientific research.Our findings advance the current understanding of AI’s multiple roles in research and underscore its capacity to revolutionize both knowledge discovery and collaborative innovation,paving the way for a more integrated and impactful research paradigm.展开更多
We demonstrate a multi-method approach towards discovering and structuring sustainability transition knowl edge in marginalized mountain regions.By employing reflective thinking,artificial intelligence(AI)-powered tex...We demonstrate a multi-method approach towards discovering and structuring sustainability transition knowl edge in marginalized mountain regions.By employing reflective thinking,artificial intelligence(AI)-powered text summarization and text mining,we synthesize experts’narratives on sustainable development challenges and solutions in Kardüz Upland,Türkiye.We then analyze their alignment with the UN Sustainable Development Goals(SDGs)using document embedding.Investment in infrastructure,education,and resilient socio-ecological systems emerged as priority sectors to combat poor infrastructure,geographic isolation,climate change,poverty,depopulation,unemployment,low education levels,and inadequate social services.The narratives were closest in substance to SDG 1,3,and 11.Social dimensions of sustainability were more pronounced than environmental dimensions.The presented approach supports policymakers in organizing loosely structured sustainability tran sition knowledge and fragmented data corpora,while also advancing AI applications for designing and planning sustainable development policies at the regional level.展开更多
This study explores the integration path of ideological and political education in the course Design Thinking and Expression of environmental art design,aiming to enhance students’innovative thinking,social responsib...This study explores the integration path of ideological and political education in the course Design Thinking and Expression of environmental art design,aiming to enhance students’innovative thinking,social responsibility,and awareness of sustainable development.Based on the core philosophy of design thinking(people-oriented,problem-solving,and interdisciplinary collaboration)and the elements of ideological and political education in courses(moral education,cultural confidence,sustainable development,and social equity),the study proposes implementation paths for optimizing course objectives,adjusting course content,innovating teaching methods,and optimizing the evaluation system.Through project-based learning,situational teaching,and interdisciplinary collaboration,combined with practical cases such as historical district renewal,environmental design for rural revitalization,and green commercial space design,it has been verified that the effective integration of ideological and political elements in courses can enhance students’cultural identity,sense of social responsibility,and design innovation ability.This study provides theoretical support and practical demonstration for the ideological and political reform of environmental art design courses.In the future,interdisciplinary collaboration can be further deepened,social practice applications can be expanded,the evaluation system can be improved,and the systematic development of ideological and political courses can be promoted.展开更多
From the perspective of Xiang thinking(象思维imagery thinking),the application of Wu Xing(五行five elements)in traditional Chinese medicine(TCM)provides a reasonable cognitive model.Wu Xing with the earth in the cent...From the perspective of Xiang thinking(象思维imagery thinking),the application of Wu Xing(五行five elements)in traditional Chinese medicine(TCM)provides a reasonable cognitive model.Wu Xing with the earth in the center(中土五行)helps TCM establish extensive connections between the human body and the universe,while Wu Xing in the generating and conquering cycles(生克五行)incorporates everything into a systematic thinking framework through complex dialectical relationships,becoming an ideal cognitive tool for TCM diagnosis and treatment.In essence,Wu Xing represents an upgrade of yin-yang dialectical thinking into a two-dimensional Xiang thinking diagram,possessing powerful explanatory capabilities.When faced with complex life systems,Wu Xing provides TCM with a theoretical framework,and TCM,in turn,offers a practical application for Wu Xing.展开更多
基金A Study on the Teaching Reform of College English Audio-Visual Oral Course Oriented towards the Cultivation of Critical Thinking Ability(2501032339)。
文摘With the increasingly prominent trend of globalization,English,as the common language of international communication,plays an increasingly important role in university education.As a key link in English teaching,the college English audio-visual oral course not only imparts language knowledge and skills,but also shoulders the important task of cultivating students’critical thinking.As one of the essential core qualities of modern talents,critical thinking ability plays an irreplaceable role in students’in-depth understanding of English knowledge,improving intercultural communication ability and cultivating innovative thinking.This paper expounds the significance of cultivating students’critical thinking ability in college English audio-visual and oral teaching,and puts forward a series of innovative teaching strategies to cultivate students’critical thinking ability combined with practical teaching experience and cutting-edge education theory,in order to provide new ideas and practical guidance for the improvement of college English teaching quality and the development of students’comprehensive quality.
基金funded by Macao Polytechnic University grant number RP/FCA-08-2023.
文摘The advancement of Artificial Intelligence(AI)has garnered significant attention within the academic research community,reflecting the prevailing zeitgeist.However,there is a paucity of literature that has delved into its connection with the higher order thinking skills of human beings.The purpose of this systematic review is to investigate the relationship between AI utilization and the development of critical thinking(CT)in the field of education.A systematic literature search was performed in two databases,Web of Science and Scopus,with a focus on empirical studies related to AI and CT.The review process followed the PRISMA framework and adopted a bottom-up approach,Ultimately,the integrated review synthesized 21 eligible studies from a total of 649 articles.The systematic review identified three relationships between AI technologies and CT.The results suggest that AI technologies can help to enhance learners’CT skills(n=13).However,excessive or inappropriate utilization of AI may hinder CT development(n=7).Moreover,the cultivation of CT skills has been shown to positively influence the effectiveness of AI utilization(n=4).This article represents the first literature review to delve into the reciprocal relationship between AI implementation and CT development within the education field,striving to illuminate the ways in which learners can enhance their higher-order thinking skills through more effective utilization of AI technologies.
文摘The present study explores the importance of developing metaphorical thinking skills in students within the framework of English as a Foreign Language(EFL)reading courses at the tertiary educational level.Metaphorical thinking is viewed as the ability to envisage the world figuratively,perceive associatively,and express oneself creatively.It is crucial to recognize metaphors in texts,interpret the complex images they evoke,and generate new metaphors.It is especially needful in the current era of clip thinking and fragmented information processing when students often approach content superficially rather than comprehensively,leading to decreased cognitive activity and a diminished capacity to understand literature.To foster metaphorical thinking,the paper suggests building a text associative-semantic field focusing on metaphors.Due to its hierarchical structure,which can be envisioned as a dense nucleus surrounded by a central region of synonyms and further enveloped by a periphery of more loosely associated linguistic units,the text associative-semantic field is seen as a potent solution for facilitating improved visualization and more holistic comprehension of information,allowing students for expanding their vocabulary and strengthening associative connections.Notably,the study highlights analyzing the metaphors of emotional states as they contribute significantly to a more profound interpretation of the text,understanding the writer’s unique style,deepening the students’engagement with the book,and expanding their emotional experiences.
基金Project supported by the Natural Science Foundation of Jilin Province of China(Grant No.20230101014JC)the National Natural Science Foundation of China(Grant No.12374265)。
文摘We investigate theoretically the effects of chirped laser pulses on high-order harmonic generation(HHG)from solids.We find that the harmonic spectra display redshifts for the driving laser pulses with negative chirp and blueshifts for those with positive chirp,which is due to the change in the instantaneous frequency of the driving laser for different chirped pulses.The analysis of crystal-momentum-resolved(k-resolved)HHG reveals that the frequency shifts are equal for the harmonics generated by different crystal momentum channels.The frequency shifts in the cutoff region are larger than those in the plateau region.With the increase of the absolute value of the chirp parameters,the frequency shifts of HHG become more significant,leading to the shifts from odd-to even-order harmonics.We also demonstrate that the frequency shifts of harmonic spectra are related to the duration of the chirped laser field,but are insensitive to the laser intensity and dephasing time.
基金National Natural Science Foundation of China(Nos.21971090 and 22271123)the NSF of Jiangsu Province(No.BK20230201)+1 种基金the Natural Science Foundation of Jiangsu Education Committee(No.22KJB150024)the Natural Science Foundation of Jiangsu Normal University(No.21XSRX010)。
文摘A new oxidative N-heterocyclic carbene(NHC)-catalyzed high-order[7+3]annulation reaction ofγ-indolyl phenols as 1,7-dinucleophiles andα,β-alkynals with the aid of Sc(OTf)_(3)is reported,enabling the highly regioselective access to unprecedented polyarene-fused ten-membered lactams bearing a bridged aryl-aryl-indole scaffold in moderate to good yields.This protocol demonstrates a broad substrate scope,good compatibility with substituents and complete regioselectivity,providing an organocatalytic modular synthetic strategy for creating medium-sized lactams.
基金Project supported by the National Natural Science Foundation of China(Grant No.62125402).
文摘Thermal expansion is crucial for various industrial processes and is increasingly the focus of research endeavors aimed at improving material performance.However,it is the continuous advancements in first-principles calculations that have enabled researchers to understand the microscopic origins of thermal expansion.In this study,we propose a coefficient of thermal expansion(CTE)calculation scheme based on self-consistent phonon theory,incorporating the fourth-order anharmonicity.We selected four structures(Si,CaZrF_(6),SrTiO_(3),NaBr)to investigate high-order anharmonicity’s impact on their CTEs,based on bonding types.The results indicate that our method goes beyond the second-order quasi-harmonic approximation and the third-order perturbation theory,aligning closely with experimental data.Furthermore,we observed that an increase in the ionicity of the structures leads to a more pronounced influence of high-order anharmonicity on CTE,with this effect primarily manifesting in variations of the Grüneisen parameter.Our research provides a theoretical foundation for accurately predicting and regulating the thermal expansion behavior of materials.
基金Supported by the National Natural Science Foundation of China(Grant Nos.12001210 and 12261103)the Natural Science Foundation of Henan(Grant No.252300420308)the Yunnan Fundamental Research Projects(Grant No.202301AT070117).
文摘An efficient and accurate scalar auxiliary variable(SAV)scheme for numerically solving nonlinear parabolic integro-differential equation(PIDE)is developed in this paper.The original equation is first transformed into an equivalent system,and the k-order backward differentiation formula(BDF k)and central difference formula are used to discretize the temporal and spatial derivatives,respectively.Different from the traditional discrete method that adopts full implicit or full explicit for the nonlinear integral terms,the proposed scheme is based on the SAV idea and can be treated semi-implicitly,taking into account both accuracy and effectiveness.Numerical results are presented to demonstrate the high-order convergence(up to fourth-order)of the developed schemes and it is computationally efficient in long-time computations.
基金supported by the Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi。
文摘We present a comprehensive study on the role of various excited states in high-order harmonic generation of hydrogen atoms driven by a long-wavelength(1500 nm)laser field.By numerically solving the time-dependent Schrodinger equation(TDSE)and performing a time-frequency analysis,we investigate the influence of individual excited states on the harmonic spectrum.Our results reveal that the 2s excited state primarily contributes to the enhancement of high-energy harmonic yields by facilitating long electron trajectories,while the 2p excited state predominantly suppresses harmonic yields in the lower-energy region(20th-50th orders)by altering the contributions of electron trajectories.Our results highlight the critical role of the excited states in the HHG process,even at longer laser wavelengths.
基金supported by the National Natural Science Foundation of China under Grant No.12072090.
文摘The high-speed development of space defense technology demands a high state estimation capacity for spacecraft tracking methods.However,reentry flight is accompanied by complex flight environments,which brings to the uncertain,complex,and strongly coupled non-Gaussian detection noise.As a result,there are several intractable considerations on the problem of state estimation tasks corrupted by complex non-Gaussian outliers for non-linear dynamics systems in practical application.To address these issues,a new iterated rational quadratic(RQ)kernel high-order unscented Kalman filtering(IRQHUKF)algorithm via capturing the statistics to break through the limitations of the Gaussian assumption is proposed.Firstly,the characteristic analysis of the RQ kernel is investigated in detail,which is the first attempt to carry out an exploration of the heavy-tailed characteristic and the ability on capturing highorder moments of the RQ kernel.Subsequently,the RQ kernel method is first introduced into the UKF algorithm as an error optimization criterion,termed the iterated RQ kernel-UKF(RQ-UKF)algorithm by derived analytically,which not only retains the high-order moments propagation process but also enhances the approximation capacity in the non-Gaussian noise problem for its ability in capturing highorder moments and heavy-tailed characteristics.Meanwhile,to tackle the limitations of the Gaussian distribution assumption in the linearization process of the non-linear systems,the high-order Sigma Points(SP)as a subsidiary role in propagating the state high-order statistics is devised by the moments matching method to improve the RQ-UKF.Finally,to further improve the flexibility of the IRQ-HUKF algorithm in practical application,an adaptive kernel parameter is derived analytically grounded in the Kullback-Leibler divergence(KLD)method and parametric sensitivity analysis of the RQ kernel.The simulation results demonstrate that the novel IRQ-HUKF algorithm is more robust and outperforms the existing advanced UKF with respect to the kernel method in reentry vehicle tracking scenarios under various noise environments.
基金Project supported by the National Natural Science Foundation of China (Grant No. 12204214)the National Key Research and Development Program of China (Grant No. 2022YFE0134200)+1 种基金the Fundamental Research Funds for the Central Universities (Grant No. GK202207012), QCYRCXM-2022-241the Guangdong Basic and Applied Basic Research Foundation (Grant No. 2025A1515011117)。
文摘We performed real-time and real-space numerical simulations of high-order harmonic generation in the threedimensional structured molecule methane(CH_(4)) using time-dependent density functional theory. By irradiating the methane molecule with an elliptically polarized laser pulse polarized in the x–y plane, we observed significant even-order harmonic emission in the z-direction. By analyzing the electron dynamics in the electric field and the multi-orbital effects of the molecule, we revealed that electron recombination near specific atoms in methane is the primary source of highorder harmonic generation in the z-direction. Furthermore, we identified the dominant molecular orbitals responsible for the enhancement of harmonics in this direction and demonstrated the critical role played by multi-orbital effects in this process.
文摘Historical thinking refers to a cognitive activity or process that integrates general thinking with specific thinking activities unique to the history discipline.Historical thinking skills,therefore,represent the ability to solve problems demonstrated within the context of historical thinking activities.Cultivating high school students’historical thinking skills requires teachers to familiarize themselves with the fundamental characteristics of students’historical thinking,guide them in deeply understanding the basic concepts and principles of historical thinking,refine their cognitive structures,innovate teaching,learning,and evaluation methods,and stimulate intrinsic motivation for learning.This is not only a vital field of theoretical research in high school history education but also a key aspect of the reform and development of history teaching in secondary schools.
基金supported by the Doctoral Research Start-up Project of Wannan Medical College(WYRCQD2024019)the Quality Engineering Project of Anhui Provincial Department of Education-the“101 Project”(2023ylyjh046)the“Online and Offline Hybrid Course”Project(2020xsxxkc462).
文摘Artificial intelligence(AI)is rapidly transforming healthcare and medical education.Strong statistical thinking skills are vital for evaluating and applying AI tools.However,traditional medical statistics education has not adapted to this demand.This paper first analyzes the connotation and importance of statistical thinking,points out the significant challenges currently faced by medical statistics education,and then proposes strategies such as innovative teaching methods combined with evidence-based medicine,utilizing AI platforms for supplemental teaching,multidisciplinary integration,and strengthening the understanding of the statistical foundations of AI to enhance the statistical thinking abilities of medical professionals.This study emphasizes the importance of cultivating medical statistical thinking in the era of AI to improve the quality of medical education and ensure the safety and effectiveness of future medical services.
基金the support provided by the“New 20 Regulations for Universities”funding program of Jinan(202228089)the TaiS han Industrial Experts Programme(tscx202312128)。
文摘In recent years,service computing has been widely integrated into software development.Web service development,especially under the RESTful schema,needs to guide students in transferring from object-oriented to resource-oriented architectural thinking and cultivating students’literacy in design thinking,design patterns,and development methods.This paper introduces the foundations of service thinking with a brief review of service sciences,the core features of service thinking,and how to train service thinking of students.It also introduces a case study in Shandong University in the construction of a service computing curriculum system,especially how to highlight the cultivation of service thinking in the design of service software system.
基金supported by Hanshan Normal University Research Initiation Program(QD2024214).
文摘This study examined the effects of design thinking pedagogy on undergraduates’career decision-making selfefficacy and employability in career education.Using a quasi-experimental design,Chinese college students(N=93)were participants in two wings.The experimental group(n=47)received the design thinking pedagogy,while the control group(n=46)followed the regularly teacher-centered method.The students completed the career decision-making self-efficacy scale and employability scale before and after the intervention.Independent samples t-test results showed that design thinking pedagogy significantly improves students’career decision-making self-efficacy and employability.The ANCOVA results showed that the pretest scores of career decision-making self-efficacy and employability had no significant association with the experimental intervention.There was no interaction between the treatment and pretest scores.It would seem that experimental design thinking pedagogy implemented in career guidance courses has little effect compared to the usual course presentation.Nonetheless,prospects for the implementation of design thinking-guided learning activities to support interdisciplinary learning for improved higher education and career development outcomes need further exploration.
基金co-supported by the Aeronautical Science Foundation of China(Nos.2018ZA52002,2019ZA052011).
文摘With the availability of high-performance computing technology and the development of advanced numerical simulation methods, Computational Fluid Dynamics (CFD) is becoming more and more practical and efficient in engineering. As one of the high-precision representative algorithms, the high-order Discontinuous Galerkin Method (DGM) has not only attracted widespread attention from scholars in the CFD research community, but also received strong development. However, when DGM is extended to high-speed aerodynamic flow field calculations, non-physical numerical Gibbs oscillations near shock waves often significantly affect the numerical accuracy and even cause calculation failure. Data driven approaches based on machine learning techniques can be used to learn the characteristics of Gibbs noise, which motivates us to use it in high-speed DG applications. To achieve this goal, labeled data need to be generated in order to train the machine learning models. This paper proposes a new method for denoising modeling of Gibbs phenomenon using a machine learning technique, the zero-shot learning strategy, to eliminate acquiring large amounts of CFD data. The model adopts a graph convolutional network combined with graph attention mechanism to learn the denoising paradigm from synthetic Gibbs noise data and generalize to DGM numerical simulation data. Numerical simulation results show that the Gibbs denoising model proposed in this paper can suppress the numerical oscillation near shock waves in the high-order DGM. Our work automates the extension of DGM to high-speed aerodynamic flow field calculations with higher generalization and lower cost.
文摘Under the tide of economic globalization,college English teaching should not only focus on the improvement of language ability,but also on the cultivation of students’critical thinking ability.This paper takes the integration of language learning and critical thinking ability as the breakthrough point,explores the college English teaching mode under the background of the integration of the two,analyzes the current situation and disadvantages of the separation of the two in the current teaching,and puts forward the integration path from the aspects of curriculum design,teacher training,evaluation system,and so on.With the help of activities such as creating real language situations,carrying out debates and critical reading,it helps students strengthen the improvement of logical analysis and critical thinking ability in their gradual learning,realize the coordinated development of language learning and critical thinking ability,and cultivate compound talents with both language literacy and critical thinking ability for the society.
基金funded by the General Program of the National Natural Science Foundation of China grant number 62277022.
文摘The integration of artificial intelligence(AI)is fundamentally reshaping the scientific research,giving rise to a new era of discovery and innovation.This paper explores this transformative shift,introducing an innovative concept of the“AI-Driven Research Ecosystem”,a dynamic and collaborative research environment.Within this ecosystem,we focus on the unification of human-AI collaboration models and the emerging new research thinking paradigms.We analyze the multifaceted roles of AI within the research lifecycle,spanning from a passive tool to an active assistant and autonomous participants,and categorize these interactions into distinct human-AI collaboration models.Furthermore,we examine how the pervasive involvement of AI necessitates an evolution in human research thinking,emphasizing the significant roles of critical,creative,and computational thinking.Through a review of existing literature and illustrative case studies,this paper provides a comprehensive overview of the AI-driven research ecosystem,highlighting its potential for transforming scientific research.Our findings advance the current understanding of AI’s multiple roles in research and underscore its capacity to revolutionize both knowledge discovery and collaborative innovation,paving the way for a more integrated and impactful research paradigm.
基金work conducted under COST Action CA21125-a European forum for revitalisation of marginalised moun-tain areas(MARGISTAR)supported by COST(European Cooperation in Science and Technology)gratefully acknowledges the support received for the research from the University of Ljubljana’s research program Forest,forestry and renewable forest resources(P4-0059).
文摘We demonstrate a multi-method approach towards discovering and structuring sustainability transition knowl edge in marginalized mountain regions.By employing reflective thinking,artificial intelligence(AI)-powered text summarization and text mining,we synthesize experts’narratives on sustainable development challenges and solutions in Kardüz Upland,Türkiye.We then analyze their alignment with the UN Sustainable Development Goals(SDGs)using document embedding.Investment in infrastructure,education,and resilient socio-ecological systems emerged as priority sectors to combat poor infrastructure,geographic isolation,climate change,poverty,depopulation,unemployment,low education levels,and inadequate social services.The narratives were closest in substance to SDG 1,3,and 11.Social dimensions of sustainability were more pronounced than environmental dimensions.The presented approach supports policymakers in organizing loosely structured sustainability tran sition knowledge and fragmented data corpora,while also advancing AI applications for designing and planning sustainable development policies at the regional level.
基金“Curriculum Ideological and Political Education”Demonstration Project of Chongqing University of Posts and Telecommunications:Design Thinking and Expression(Environmental Design)(XKCSZ2251)Construction and Practice of the Ability Training System for“Internet+”Design Talents to Serve Rural Revitalization(233231)。
文摘This study explores the integration path of ideological and political education in the course Design Thinking and Expression of environmental art design,aiming to enhance students’innovative thinking,social responsibility,and awareness of sustainable development.Based on the core philosophy of design thinking(people-oriented,problem-solving,and interdisciplinary collaboration)and the elements of ideological and political education in courses(moral education,cultural confidence,sustainable development,and social equity),the study proposes implementation paths for optimizing course objectives,adjusting course content,innovating teaching methods,and optimizing the evaluation system.Through project-based learning,situational teaching,and interdisciplinary collaboration,combined with practical cases such as historical district renewal,environmental design for rural revitalization,and green commercial space design,it has been verified that the effective integration of ideological and political elements in courses can enhance students’cultural identity,sense of social responsibility,and design innovation ability.This study provides theoretical support and practical demonstration for the ideological and political reform of environmental art design courses.In the future,interdisciplinary collaboration can be further deepened,social practice applications can be expanded,the evaluation system can be improved,and the systematic development of ideological and political courses can be promoted.
文摘From the perspective of Xiang thinking(象思维imagery thinking),the application of Wu Xing(五行five elements)in traditional Chinese medicine(TCM)provides a reasonable cognitive model.Wu Xing with the earth in the center(中土五行)helps TCM establish extensive connections between the human body and the universe,while Wu Xing in the generating and conquering cycles(生克五行)incorporates everything into a systematic thinking framework through complex dialectical relationships,becoming an ideal cognitive tool for TCM diagnosis and treatment.In essence,Wu Xing represents an upgrade of yin-yang dialectical thinking into a two-dimensional Xiang thinking diagram,possessing powerful explanatory capabilities.When faced with complex life systems,Wu Xing provides TCM with a theoretical framework,and TCM,in turn,offers a practical application for Wu Xing.
