The combination and application of information technology and higher education have led to changes in the form and mode of teaching management in higher education,promoting the continuous deepening of digital transfor...The combination and application of information technology and higher education have led to changes in the form and mode of teaching management in higher education,promoting the continuous deepening of digital transformation in higher education.This paper discusses higher education management innovation triggered by digital technology and the new appearance of digital university governance,digital evaluation management,and internal governance of higher education.From the perspective of forging new forms,models,and paths of digital management through digital technology,this paper focuses on analyzing the reshaping of management systems by digitalization in higher education.The promotion and inspiration of digitalization on management system reform are provided,including typical features brought about,new paths opened up,and new advantages shaped.It is emphasized that the establishment of digital management system needs to rely on the systematic integration of multiple aspects.Finally,the challenges and solutions faced by the digital management system are deeply analyzed from the aspects of collaborative management and services,management process interoperability,evaluation and trust protection,and personnel digital literacy.Digital technology drives the transformation of higher education management system,resulting in new forms,models,paths,and methods of networked and digital management based on intelligent analysis and processing of educational and teaching data and promoting higher education management toward digital governance.The comprehensive establishment of a digital management system will unleash strong potential for universities to better fulfill their functions,and the high-quality development of higher education will be more solid and powerful.展开更多
In the era of intelligent media,the interaction between teachers and students in higher education is undergoing a profound transformation.The model has shifted from one-way transmission to multi-agent,two-way collabor...In the era of intelligent media,the interaction between teachers and students in higher education is undergoing a profound transformation.The model has shifted from one-way transmission to multi-agent,two-way collaboration involving“teacher-student-AI(artificial intelligence)”.Interaction depth moves from surface Q&A to deep thought engagement,supported by instant,precise feedback and a blended virtual-physical space.New forms such as data-driven personalized interaction and immersive collaborative learning have emerged.However,this evolution brings significant challenges:over-reliance on technology may weaken cognitive autonomy;virtual interaction risks emotional detachment and trust erosion;ethical concerns like algorithmic bias and data privacy arise;teachers’roles become blurred;and evaluation systems lag behind technological advances.Future pathways should position AI as a supportive tool while upholding human centrality.Strengthening emotional connection through online-offline blending,reforming assessment to value process and growth,and empowering teachers as digitally literate“learning guides”and“emotional connectors”are key to building a healthy,sustainable interactive ecosystem.展开更多
In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in...In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in Hainan Province,it has been found that the quality of vocational education generally depends on the talent training program and professional construction at the macro level.At the meso level,the teacher level and teaching environment are critical,while at the micro level,the evaluation of talent training quality cannot be underestimated.Strategies for quality improvement in vocational education are proposed from the perspectives of talent training programs,major construction,teacher development,teaching environment,and talent training quality,all under the lens of digital transformation.展开更多
In-situ tensile tests were conducted on a chemically corroded third-generation single-crystal superalloy DD9 at 980 and 1100℃.The phase transformation in the surface areas during the tensile process was analyzed usin...In-situ tensile tests were conducted on a chemically corroded third-generation single-crystal superalloy DD9 at 980 and 1100℃.The phase transformation in the surface areas during the tensile process was analyzed using field emission scanning electron microscope,energy dispersive X-ray spectroscope,electron probe X-ray microanalysis,and transmission electron microscope.The phase transformation mechanism on the surface and the influence mechanism were studied through observation and dynamic calculation.During tensile tests at elevated temperatures,chemical corrosion promotes the precipitation of topologically close-packed(tcp)μphase andσphase on the alloy surface.Both the precipitation amount and size of these two phases on the surface at 1100℃are greater than those at 980℃.The precipitation of tcp phase on the alloy surface results in the formation of an influence layer on the surface area,and the distribution characteristics of alloying elements are significantly different from those of the substrate.The depth of the influence layer at 1100℃is greater than that at 980℃.The precipitation of tcp phase prompts the phase transition fromγphase toγ′phase around the tcp phase.展开更多
The accurate establishment of a ferrite transformation start temperature model is crucial to design a reasonable controlled rolling process and ensure uniform microstructure in aluminum bearing dual-phase steel.The me...The accurate establishment of a ferrite transformation start temperature model is crucial to design a reasonable controlled rolling process and ensure uniform microstructure in aluminum bearing dual-phase steel.The measurements of the expansion-temperature curves of aluminum bearing dual-phase steel under continuous cooling and isothermal conditions are presented,utilizing a dynamic transformation dilatometer experiment.Based on these expansion-temperature curves,the start temperature and incubation time of ferrite transformation were determined,elucidating the influence of process parameters on both the incubation time and the start temperature of ferrite transformation.By integrating metallurgical principles with measured incubation time of ferrite transformation,and considering the effects of temperature and strain,a fitting model for the variation in volume free energy during ferrite nucleation was derived.Building upon this foundation,a high-precision incubation time of ferrite transformation mathematical model for the experimental steel was established.To more accurately calculate the start temperature of ferrite transformation under continuous cooling conditions,the Scheil’s additivity rule was modified to account for the effects of deformation and cooling rate.The results indicate that the modification coefficient decreases with increasing the cooling rate and strain,thereby significantly improving the accuracy of calculating the starting temperature of ferrite transformation using the modified additivity rule.展开更多
Understanding the complex deformation mechanisms of non-equimolar multi-principal element alloys(MPEAs)requires high-fidelity atomic-scale simulations.This study develops a deep potential(DP)model to enable molecular ...Understanding the complex deformation mechanisms of non-equimolar multi-principal element alloys(MPEAs)requires high-fidelity atomic-scale simulations.This study develops a deep potential(DP)model to enable molecular dynamics simulations of the Ta_(0.4)Ti_(2)Zr(Ta_(0.4))alloy.Monte Carlo simulations using this potential reveal Ta atom precipitation in the Ta_(0.4)alloy.Under uniaxial tensile loading along the[100]direction in the NPT ensemble,the alloy undergoes a remarkable sequence of phase transformations:an initial body-centered cubic(BCC_(1))to face-centered cubic(FCC)transformation,followed by a reverse transformation from FCC to a distinct BCC phase(BCC_(2)),and finally a BCC_(2) to hexagonal close-packed(HCP)transformation.Critically,the reverse FCC to BCC_(2) transformation induces significant volume contraction.We demonstrate that the inversely transformed BCC_(2) phase primarily accommodates compressive stress.Concurrently,the reorientation of BCC_(2) crystals contributes substantially to the observed high strain hardening.These simulations provide atomic-scale insights into the dynamic structural evolution,sequential phase transformations,and stress partitioning during deformation of the Ta_(0.4)alloy.The developed DP model and the revealed mechanisms offer fundamental theoretical guidance for accelerating the design of high-performance MPEAs.展开更多
It is difficult to recover chrysocolla from sulfidation flotation which is closely related to the mineral surface composition.In this study,the effects of fluoride roasting on the surface composition of chrysocolla we...It is difficult to recover chrysocolla from sulfidation flotation which is closely related to the mineral surface composition.In this study,the effects of fluoride roasting on the surface composition of chrysocolla were investigated,its impact on sulfidation flotation was explored,and the mechanisms involved in both fluoride roasting and sulfidation flotation were discussed.With CaF_(2)as the roasting reagent,Na_(2)S·9H_(2)O as the sulfidation reagent,and sodium butyl xanthate(NaBX)as the collector,the results of the flotation experiments showed that fluoride roasting improved the floatability of chrysocolla,and the recovery rate increased from 16.87%to 82.74%.X-ray diffraction analysis revealed that after fluoride roasting,approximately all the Cu on the chrysocolla surface was exposed in the form of CuO,which could provide a basis for subsequent sulfidation flotation.The microscopy and elemental analyses revealed that large quantities of"pagoda-like"grains were observed on the sulfidation surface of the fluoride-roasted chrysocolla,indicating high crystallinity particles of copper sulfide.This suggests that the effect of sulfide formation on the chrysocolla surface was more pronounced.X-ray photoelectron spectroscopy revealed that fluoride roasting increased the relative contents of sulfur and copper on the surface and that both the Cu~+and polysulfide fractions on the surface of the minerals increased.This enhances the effect of sulfidation,which is conducive to flotation recovery.Therefore,fluoride roasting improved the effect of copper species transformation and sulfidation on the surface of chysocolla,promoted the adsorption of collectors,and improved the recovery of chrysocolla from sulfidation flotation.展开更多
The demand for Erigeron breviscapus,a medicinal Compositae plant with cardiovascular therapeutic properties,has been increasing by 15%annually,exceeding production capacity and necessitating improvements in yield and ...The demand for Erigeron breviscapus,a medicinal Compositae plant with cardiovascular therapeutic properties,has been increasing by 15%annually,exceeding production capacity and necessitating improvements in yield and bioactive compound content.Genetic transformation remains essential for functional genomics,yet current Agrobacterium and biolistic methods are inefficient and expensive.In this study,we cloned the full-length sequences of the BABY BOOM,WUSCHEL and GROWTH-REGULATING FACTOR(GRF)genes of E.breviscapus and then transformed them into E.breviscapus explants.The transformation efficiency for the GRF gene reached 45%,and all the transgenic E.breviscapus plants were fertile without obvious developmental defects.Furthermore,we inserted EbGRF4 and Cas9-EbPDS-sgRNA into the same vector for Agrobacterium-mediated transformation to effectively knock out the PDS gene,resulting in albino seedlings,with a gene editing efficiency of 33.3%.These findings provide a solid foundation for functional genomic research and the genetic improvement of E.breviscapus,as well as an important reference for establishing high-efficiency genetic transformation systems for other medicinal plants.展开更多
Peanuts(Arachis hypogaea) are important sources of vegetable oil,protein,and forage.The genus Arachis comprises nine intrageneric taxonomic sections encompassing 84 species.Most Arachis species are wild plants that se...Peanuts(Arachis hypogaea) are important sources of vegetable oil,protein,and forage.The genus Arachis comprises nine intrageneric taxonomic sections encompassing 84 species.Most Arachis species are wild plants that serve widely as forage and turfgrass.Furthermore,wild Arachis species provide valuable gene resources for broadening the genetic diversity of cultivated peanuts.To date,several key genes have been identified through the use of recombinant inbred lines derived from interspecific crosses within Arachis.Despite this progress,the application of genetic engineering to enhance peanut traits remains limited.This limitation arises primarily from the absence of a robust and reliable genetic transformation protocol for Arachis species.Nevertheless,evidence indicates that successful genetic transformation of Arachis plants was first reported approximately 30 years ago.Thus,a notable discrepancy exists between early reports of transformation success and the ongoing challenges in stably transferring candidate genes into Arachis genotypes.This review summarizes existing methods for regeneration and genetic transformation in Arachis,aiming to advance understanding of transgenic technologies applicable to this genus.展开更多
The moment a media delegation from the Republic of the Congo arrived at the Othello Kitchenware Museum on 18 November 2025,they were greeted with a vivid show of Guangdong’s industrial strength.Standing before them w...The moment a media delegation from the Republic of the Congo arrived at the Othello Kitchenware Museum on 18 November 2025,they were greeted with a vivid show of Guangdong’s industrial strength.Standing before them was not a typical exhibition hall,but a building shaped like a gleaming stainless-steel cooking pot.展开更多
Glacier landslide cascading hazards pose threats to communities and infrastructure,affected by complex processes including the amplification of mass flow volume through erosion and entrainment,transformation of hazard...Glacier landslide cascading hazards pose threats to communities and infrastructure,affected by complex processes including the amplification of mass flow volume through erosion and entrainment,transformation of hazard types,ice-water phase change,and enhanced mobility of the mass flow.Scientifically simulating these physical phenomena proves challenging.This study introduces GMFA(glacier mass flow analysis),an integrated numerical model that advances the field by:(1)proposing depth-averaged fluctuation energy and internal energy equations,(2)incorporating the ice-water phase change and the entrainment-deposition process,and(3)capturing their effects on mass flow runout characteristics.The model employs the finite volume method to solve the multi-physics coupled governing equations,enabling efficient large-scale simulations.The model is verified through three numerical tests covering flow dynamics,temperature evolution,and thermo-hydro-mechanical runout processes.The model is applied to analyze a hazard chain that occurred on 10 September 2020 on the Tibetan Plateau.The multi-scenario simulation results indicate an entrained mass volume of(4.95±0.11)×10^(5)m^(3),and a ratio of entrained mass volume to source material volume of 0.44.The solid concentration decreases from 0.6-0.7 to 0.1-0.15 with increasing runout distance,indicating a transition from avalanche to debris flood.The internal energy rises by(3-4)×10^(3)kJ/m^(3),driving rapid ice melting from 0.1 to 0.2 to near-zero concentration.The model effectively quantifies volume amplification,ice-water phase changes,and multi-hazard transformations.This model pushes the geoscience frontier,extending computational capability from single-to multi-hazard simulations and providing a powerful tool for analyzing glacier cascading hazards.展开更多
The flow of a tetra-hybrid Casson nanofluid(Al_(2)O_(3)-CuO-TiO_(2)-Ag/H_(2)O)over a nonlinear stretching sheet is investigated.The Buongiorno model is used to account for thermophoresis and Brownian motion,while ther...The flow of a tetra-hybrid Casson nanofluid(Al_(2)O_(3)-CuO-TiO_(2)-Ag/H_(2)O)over a nonlinear stretching sheet is investigated.The Buongiorno model is used to account for thermophoresis and Brownian motion,while thermal radiation is incorporated to examine its influence on the thermal boundary layer.The governing partial differential equations(PDEs)are reduced to a system of nonlinear ordinary differential equations(ODEs)with fully non-dimensional similarity transformations involving all independent variables.To solve the obtained highly nonlinear system of differential equations,a novel Clique polynomial collocation method is applied.The analysis focuses on the effects of the Casson parameter,power index,radiation parameter,thermophoresis parameter,Brownian motion parameter,and Lewis number.The key findings show that thermal radiation intensifies the thermal boundary layer,the Casson parameter reduces the velocity,and the Lewis number suppresses the concentration with direct relevance to polymer processing,coating flows,electronic cooling,and biomedical applications.展开更多
On January 23,2026,the second plenary session of the China Expo Forum for International Cooperation(CEFCO) convened in Wuhan,Hubei Province.Amid significant changes in the global exhibition landscape,participants shar...On January 23,2026,the second plenary session of the China Expo Forum for International Cooperation(CEFCO) convened in Wuhan,Hubei Province.Amid significant changes in the global exhibition landscape,participants shared recent developments,key data,and future trends in major markets,offering guidance for industry practitioners to drive progress.展开更多
It is well known that aluminum and copper exhibit structural phase transformations in quasi-static and dynamic measurements,including shock wave loading.However,the dependence of phase transformations in a wide range ...It is well known that aluminum and copper exhibit structural phase transformations in quasi-static and dynamic measurements,including shock wave loading.However,the dependence of phase transformations in a wide range of crystallographic directions of shock loading has not been revealed.In this work,we calculated the shock Hugoniot for aluminum and copper in different crystallographic directions([100],[110],[111],[112],[102],[114],[123],[134],[221]and[401])of shock compression using molecular dynamics(MD)simulations.The results showed a high pressure(>160 GPa for Cu and>40 GPa for Al)of the FCC-to-BCC transition.In copper,different characteristics of the phase transition are observed depending on the loading direction with the[100]compression direction being the weakest.The FCC-to-BCC transition for copper is in the range of 150–220 GPa,which is consistent with the existing experimental data.Due to the high transition pressure,the BCC phase transition in copper competes with melting.In aluminum,the FCC-to-BCC transition is observed for all studied directions at pressures between 40 and 50 GPa far beyond the melting.In all considered cases we observe the coexistence of HCP and BCC phases during the FCC-to-BCC transition,which is consistent with the experimental data and atomistic calculations;this HCP phase forms in the course of accompanying plastic deformation with dislocation activity in the parent FCC phase.The plasticity incipience is also anisotropic in bothmetals,which is due to the difference in the projections of stress on the slip plane for different orientations of the FCC crystal.MD modeling results demonstrate a strong dependence of the FCC-to-BCC transition on the crystallographic direction,in which the material is loaded in the copper crystals.However,MD simulations data can only be obtained for specific points in the stereographic direction space;therefore,for more comprehensive understanding of the phase transition process,a feed-forward neural network was trained using MD modeling data.The trained machine learning model allowed us to construct continuous stereographic maps of phase transitions as a function of stress in the shock-compressed state of metal.Due to appearance and growth of multiple centers of new phase,the FCC-to-BCC transition leads to formation of a polycrystalline structure from the parent single crystal.展开更多
In order to effectively serve the modernization of China,the Landscape Architecture discipline of the College of Science and Technology of China Three Gorges University,building on its distinctive disciplinary strengt...In order to effectively serve the modernization of China,the Landscape Architecture discipline of the College of Science and Technology of China Three Gorges University,building on its distinctive disciplinary strengths and proactively adapting to the demands of the times,has proposed an innovative transformation and development model centered on the principle of“Green,Digital-intelligence,Humanity,and Integration(GDHI)”and conducted comprehensive practical research through multiple dimensions,including restructuring talent training programs,innovating teaching content and methods,and fostering indepth interdisciplinary integration.This has resulted in the formation of a distinctive,innovative teaching methods,providing valuable experience for further transformation and reshaping of the Landscape Architecture discipline and related disciplines.展开更多
Despite broad consensus on the importance of enterprise digital transformation,significant discrepancies persist regarding its actual effects.This divergence stems primarily from two key measurement challenges:(1)a la...Despite broad consensus on the importance of enterprise digital transformation,significant discrepancies persist regarding its actual effects.This divergence stems primarily from two key measurement challenges:(1)a lack of clear and consistent definitions of enterprise digital transformation,and(2)a lack of rigorous and accurate measurement methodologies.These shortcomings lead to research findings that are incomparable,difficult to replicate,and often conflicting.To effectively address the aforementioned challenges,this paper employs machine learning and large language models(LLMs)to construct a novel set of indicators for enterprise digital transformation.The work begins by manually annotating sentences from annual reports of listed companies in China from 2006 to 2020.These labeled sentences are then used to train and fine-tune several machine learning models,including LLMs.The ERNIE model,demonstrating the best classification performance among the models tested,is selected as the sentence classifier to predict sentence labels across the full text of the annual reports,ultimately constructing the enterprise digital transformation metrics.Both theoretical analysis and multiple data cross-validations demonstrate that the metrics developed in this paper are more accurate than existing approaches.Based on these metrics,the paper empirically examines the impact of enterprise digital transformation on financial performance.Our findings reveal three key points:(1)enterprise digital transformation significantly enhances financial performance,with big data,AI,mobile internet,cloud computing,and the Internet of Things(IoT)all playing a significant role;however,blockchain technology does not show a significant effect;(2)the significant positive effect of digital transformation on financial performance is primarily observed in firms with weaker initial financial performance;and(3)enterprise digital transformation improves financial performance mainly through enhancing efficiency and reducing costs.This research has practical implications for promoting enterprise digital transformation and fostering high-quality economic development.展开更多
This study examined the relationship between transformational leadership and employee bootleg innovation through the mediating role of creative self-efficacy and the moderating role of leader-member exchange(LMX).Data...This study examined the relationship between transformational leadership and employee bootleg innovation through the mediating role of creative self-efficacy and the moderating role of leader-member exchange(LMX).Data were collected from 279 employees and 56 matched supervisors within a large Chinese digital transformation group.A moderated mediation model analysis found that transformational leadership predicts higher employee bootleg innovation.Creative self-efficacy mediated the positive relationship between transformational leadership and employee bootleg.Additionally,leader-member exchange significantly moderated the relationship between transformational leadership and creative self-efficacy,for a further enhancement of bootleg innovation.Thesefindings underscore the importance of transformative leadership in fostering digital employee innovation.This study provides further evidence of the relevance of self-determination theory in explaining the leadership and employee innovation,relationship within the context of digital transformation.By implication,creative self-efficacy and leader-member exchange are modifiable factors by digital transformation entities seeking a competitive advantage.展开更多
With the acceleration of the global digital wave,enterprise procurement management is facing multiple challenges such as cost pressure,supply chain collaboration demand,and insufficient information ability.Based on dy...With the acceleration of the global digital wave,enterprise procurement management is facing multiple challenges such as cost pressure,supply chain collaboration demand,and insufficient information ability.Based on dynamic capability theory,resource-based view,and value chain theory,this paper constructs a four-level research framework of“driving factors-transformation paths-strategic actions-performance evaluation”.Firstly,through literature analysis and case review,it summarizes the internal and external driving factors such as external market competition pressure,supply chain coordination demand,policy and regulatory environment,as well as enterprise information foundation,organizational culture,and talent reserve,and analyzes their mechanism of action on procurement digital transformation.Secondly,the procurement digital transformation path is divided into two types:gradual upgrading and leap-forward reconstruction,and the strategic and tactical level strategies,such as top-level design,data governance,process remodeling,supplier collaboration platform construction,and intelligent decision support,are proposed.Thirdly,the implementation guarantee mechanism was designed from the four aspects of organization management,technology platform,talent culture,and risk control.Finally,the performance evaluation index system covering cost,cycle,quality,risk,and digital maturity was constructed,and the evaluation method and continuous improvement mechanism based on balanced scorecard and ROI/TCO analysis were proposed.The results show that the systematic strategy design and multi-dimensional guarantee can effectively improve the procurement efficiency of enterprises,reduce operating costs,enhance supply chain resilience,and provide theoretical and practical guidance for enterprises to achieve sustainable competitive advantage.展开更多
Following the global economy’s shift toward a digital-based system,the significance of digital transformation(DT)at the firm level has become increasingly important.Accordingly,this study aims to enhance understandin...Following the global economy’s shift toward a digital-based system,the significance of digital transformation(DT)at the firm level has become increasingly important.Accordingly,this study aims to enhance understanding of a firm’s DT by examining the varying impacts ofirm life cycle(FLC)stages on DT adoption.We consider the impact of the mass entrepreneur and innovation campaign(MEIC)on this relationship.Based on the data of China A-share non-financial companies listed on the Shanghai and Shenzhen stock exchanges from 2010 to 2020.The baseline findings reveal that firms in the growth stage are likelier to adopt DT than firms in the introduction and decline stages;however,DT adoption in the maturity stage is uncertain.MEIC encourages DT adoption during the introduction,maturity,and decline stages.Furthermore,the univariate test demonstrates a relative enhancement in DT after implementing MEIC,underscoring its role in effectively allocating resources within the firms to embrace DT.This study’s results are robust across various estimation techniques and instrumental variables.The empirical results offer insights into policy implications,highlighting the factors shaping firms’DT adoption decisions at different FLC stages and endorsing resource-based and agency theories.展开更多
In recent years,with the advent of the digital era,digital transformation has become a mainstream social trend.As a powerful driving force,digital transformation is profoundly changing the operation mode and managemen...In recent years,with the advent of the digital era,digital transformation has become a mainstream social trend.As a powerful driving force,digital transformation is profoundly changing the operation mode and management method of enterprise supply chains.Enterprises should seize this opportunity to continuously enhance supply chain resilience.Enhancing enterprise supply chain resilience based on digital transformation can not only improve the supply chain’s resistance and recovery capabilities,but also further enhance its innovation capability.This helps enterprises better respond to various unstable factors and provides protection for promoting the sustainable development of the supply chain.In this regard,this paper first expounds the multi-dimensional value of digital transformation in enhancing enterprise supply chain resilience,and then puts forward effective paths,aiming to provide certain reference for relevant researchers.展开更多
基金supported by the Project of the 2023 Shandong Province Higher Education Curriculum Ideological and Political Education Reform Research Project“Value Connotation,Intrinsic Logic,and Method Path:Student-centered College Curriculum Ideological and Political Integration‘Salt’in Course Teaching”(SZ2023003)Shandong Provincial Department of Education Key Teaching and Research Project“Ideological and Political Guidance,Goal Orientation,and Multidimensional Integration—Research and Practice of Embedded System Series Curriculum Teaching for New Engineering Majors”(Z2022232)+2 种基金2023 Harbin Institute of Technology(Weihai)Education and Teaching Reform Research Project“Connotation Elements,Related Logic,and Core Measures:Basic Paradigm of Curriculum Construction and Classroom Teaching Reform”(2023MSZZ01)the Key Teaching and Research Project of Shandong Provincial Department of Education,“I+IV”Mentor System—Exploration and Practice of Innovative Talents Training Model for Intelligent Vehicle Engineering New Engineering(Z2023002)the 2024 Harbin Institute of Technology(Weihai)Experimental Teaching and Teaching Laboratory Construction Research Project“Online and Offline Mixing,Virtual-practical Operation Integration,Industrial Technology Guidance—Research and Exploration of New Form Experimental Teaching of Computer Composition Principles”(2024SYZZ03)。
文摘The combination and application of information technology and higher education have led to changes in the form and mode of teaching management in higher education,promoting the continuous deepening of digital transformation in higher education.This paper discusses higher education management innovation triggered by digital technology and the new appearance of digital university governance,digital evaluation management,and internal governance of higher education.From the perspective of forging new forms,models,and paths of digital management through digital technology,this paper focuses on analyzing the reshaping of management systems by digitalization in higher education.The promotion and inspiration of digitalization on management system reform are provided,including typical features brought about,new paths opened up,and new advantages shaped.It is emphasized that the establishment of digital management system needs to rely on the systematic integration of multiple aspects.Finally,the challenges and solutions faced by the digital management system are deeply analyzed from the aspects of collaborative management and services,management process interoperability,evaluation and trust protection,and personnel digital literacy.Digital technology drives the transformation of higher education management system,resulting in new forms,models,paths,and methods of networked and digital management based on intelligent analysis and processing of educational and teaching data and promoting higher education management toward digital governance.The comprehensive establishment of a digital management system will unleash strong potential for universities to better fulfill their functions,and the high-quality development of higher education will be more solid and powerful.
文摘In the era of intelligent media,the interaction between teachers and students in higher education is undergoing a profound transformation.The model has shifted from one-way transmission to multi-agent,two-way collaboration involving“teacher-student-AI(artificial intelligence)”.Interaction depth moves from surface Q&A to deep thought engagement,supported by instant,precise feedback and a blended virtual-physical space.New forms such as data-driven personalized interaction and immersive collaborative learning have emerged.However,this evolution brings significant challenges:over-reliance on technology may weaken cognitive autonomy;virtual interaction risks emotional detachment and trust erosion;ethical concerns like algorithmic bias and data privacy arise;teachers’roles become blurred;and evaluation systems lag behind technological advances.Future pathways should position AI as a supportive tool while upholding human centrality.Strengthening emotional connection through online-offline blending,reforming assessment to value process and growth,and empowering teachers as digitally literate“learning guides”and“emotional connectors”are key to building a healthy,sustainable interactive ecosystem.
文摘In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in Hainan Province,it has been found that the quality of vocational education generally depends on the talent training program and professional construction at the macro level.At the meso level,the teacher level and teaching environment are critical,while at the micro level,the evaluation of talent training quality cannot be underestimated.Strategies for quality improvement in vocational education are proposed from the perspectives of talent training programs,major construction,teacher development,teaching environment,and talent training quality,all under the lens of digital transformation.
文摘In-situ tensile tests were conducted on a chemically corroded third-generation single-crystal superalloy DD9 at 980 and 1100℃.The phase transformation in the surface areas during the tensile process was analyzed using field emission scanning electron microscope,energy dispersive X-ray spectroscope,electron probe X-ray microanalysis,and transmission electron microscope.The phase transformation mechanism on the surface and the influence mechanism were studied through observation and dynamic calculation.During tensile tests at elevated temperatures,chemical corrosion promotes the precipitation of topologically close-packed(tcp)μphase andσphase on the alloy surface.Both the precipitation amount and size of these two phases on the surface at 1100℃are greater than those at 980℃.The precipitation of tcp phase on the alloy surface results in the formation of an influence layer on the surface area,and the distribution characteristics of alloying elements are significantly different from those of the substrate.The depth of the influence layer at 1100℃is greater than that at 980℃.The precipitation of tcp phase prompts the phase transition fromγphase toγ′phase around the tcp phase.
基金supported by the National Science and Technology Major Project-Intelligent Manufacturing Systems And Robots(2025ZD1602200)the National Key Research and Development Program of China(Grant No.2022YFB3304800).
文摘The accurate establishment of a ferrite transformation start temperature model is crucial to design a reasonable controlled rolling process and ensure uniform microstructure in aluminum bearing dual-phase steel.The measurements of the expansion-temperature curves of aluminum bearing dual-phase steel under continuous cooling and isothermal conditions are presented,utilizing a dynamic transformation dilatometer experiment.Based on these expansion-temperature curves,the start temperature and incubation time of ferrite transformation were determined,elucidating the influence of process parameters on both the incubation time and the start temperature of ferrite transformation.By integrating metallurgical principles with measured incubation time of ferrite transformation,and considering the effects of temperature and strain,a fitting model for the variation in volume free energy during ferrite nucleation was derived.Building upon this foundation,a high-precision incubation time of ferrite transformation mathematical model for the experimental steel was established.To more accurately calculate the start temperature of ferrite transformation under continuous cooling conditions,the Scheil’s additivity rule was modified to account for the effects of deformation and cooling rate.The results indicate that the modification coefficient decreases with increasing the cooling rate and strain,thereby significantly improving the accuracy of calculating the starting temperature of ferrite transformation using the modified additivity rule.
基金supported by the National University of Defense Technology Research Fund Projectthe National Natural Science Foundation of China(Grant No.12534013)the Science and Technology Innovation Program of Hunan Province(Grant Nos.2025ZYJ001 and 2021RC4026)。
文摘Understanding the complex deformation mechanisms of non-equimolar multi-principal element alloys(MPEAs)requires high-fidelity atomic-scale simulations.This study develops a deep potential(DP)model to enable molecular dynamics simulations of the Ta_(0.4)Ti_(2)Zr(Ta_(0.4))alloy.Monte Carlo simulations using this potential reveal Ta atom precipitation in the Ta_(0.4)alloy.Under uniaxial tensile loading along the[100]direction in the NPT ensemble,the alloy undergoes a remarkable sequence of phase transformations:an initial body-centered cubic(BCC_(1))to face-centered cubic(FCC)transformation,followed by a reverse transformation from FCC to a distinct BCC phase(BCC_(2)),and finally a BCC_(2) to hexagonal close-packed(HCP)transformation.Critically,the reverse FCC to BCC_(2) transformation induces significant volume contraction.We demonstrate that the inversely transformed BCC_(2) phase primarily accommodates compressive stress.Concurrently,the reorientation of BCC_(2) crystals contributes substantially to the observed high strain hardening.These simulations provide atomic-scale insights into the dynamic structural evolution,sequential phase transformations,and stress partitioning during deformation of the Ta_(0.4)alloy.The developed DP model and the revealed mechanisms offer fundamental theoretical guidance for accelerating the design of high-performance MPEAs.
基金financially supported by the National Natural Science Foundation of China(No.52374259)the Open Fund of the State Key Laboratory of Mineral Processing Science and Technology,China(No.BGRIMM-KJSKL-2023-11)the Major Science and Technology Projects in Yunnan Province,China(No.202302 AF080004)。
文摘It is difficult to recover chrysocolla from sulfidation flotation which is closely related to the mineral surface composition.In this study,the effects of fluoride roasting on the surface composition of chrysocolla were investigated,its impact on sulfidation flotation was explored,and the mechanisms involved in both fluoride roasting and sulfidation flotation were discussed.With CaF_(2)as the roasting reagent,Na_(2)S·9H_(2)O as the sulfidation reagent,and sodium butyl xanthate(NaBX)as the collector,the results of the flotation experiments showed that fluoride roasting improved the floatability of chrysocolla,and the recovery rate increased from 16.87%to 82.74%.X-ray diffraction analysis revealed that after fluoride roasting,approximately all the Cu on the chrysocolla surface was exposed in the form of CuO,which could provide a basis for subsequent sulfidation flotation.The microscopy and elemental analyses revealed that large quantities of"pagoda-like"grains were observed on the sulfidation surface of the fluoride-roasted chrysocolla,indicating high crystallinity particles of copper sulfide.This suggests that the effect of sulfide formation on the chrysocolla surface was more pronounced.X-ray photoelectron spectroscopy revealed that fluoride roasting increased the relative contents of sulfur and copper on the surface and that both the Cu~+and polysulfide fractions on the surface of the minerals increased.This enhances the effect of sulfidation,which is conducive to flotation recovery.Therefore,fluoride roasting improved the effect of copper species transformation and sulfidation on the surface of chysocolla,promoted the adsorption of collectors,and improved the recovery of chrysocolla from sulfidation flotation.
基金supported by the National Natural Science Foundation of China(82160727)the Major Science and Technique Programs in Yunnan Province(202304BT090021-ML05)Yunnan Agricultural University research start-up Fund(KY2022-02).
文摘The demand for Erigeron breviscapus,a medicinal Compositae plant with cardiovascular therapeutic properties,has been increasing by 15%annually,exceeding production capacity and necessitating improvements in yield and bioactive compound content.Genetic transformation remains essential for functional genomics,yet current Agrobacterium and biolistic methods are inefficient and expensive.In this study,we cloned the full-length sequences of the BABY BOOM,WUSCHEL and GROWTH-REGULATING FACTOR(GRF)genes of E.breviscapus and then transformed them into E.breviscapus explants.The transformation efficiency for the GRF gene reached 45%,and all the transgenic E.breviscapus plants were fertile without obvious developmental defects.Furthermore,we inserted EbGRF4 and Cas9-EbPDS-sgRNA into the same vector for Agrobacterium-mediated transformation to effectively knock out the PDS gene,resulting in albino seedlings,with a gene editing efficiency of 33.3%.These findings provide a solid foundation for functional genomic research and the genetic improvement of E.breviscapus,as well as an important reference for establishing high-efficiency genetic transformation systems for other medicinal plants.
基金funded by the Key R&D Program of Shandong Province,China (2024LZGC035)the Start-up Foundation for High Talents of Qingdao Agricultural University,China (665/1120012)。
文摘Peanuts(Arachis hypogaea) are important sources of vegetable oil,protein,and forage.The genus Arachis comprises nine intrageneric taxonomic sections encompassing 84 species.Most Arachis species are wild plants that serve widely as forage and turfgrass.Furthermore,wild Arachis species provide valuable gene resources for broadening the genetic diversity of cultivated peanuts.To date,several key genes have been identified through the use of recombinant inbred lines derived from interspecific crosses within Arachis.Despite this progress,the application of genetic engineering to enhance peanut traits remains limited.This limitation arises primarily from the absence of a robust and reliable genetic transformation protocol for Arachis species.Nevertheless,evidence indicates that successful genetic transformation of Arachis plants was first reported approximately 30 years ago.Thus,a notable discrepancy exists between early reports of transformation success and the ongoing challenges in stably transferring candidate genes into Arachis genotypes.This review summarizes existing methods for regeneration and genetic transformation in Arachis,aiming to advance understanding of transgenic technologies applicable to this genus.
文摘The moment a media delegation from the Republic of the Congo arrived at the Othello Kitchenware Museum on 18 November 2025,they were greeted with a vivid show of Guangdong’s industrial strength.Standing before them was not a typical exhibition hall,but a building shaped like a gleaming stainless-steel cooking pot.
基金supports from the National Natural Science Foundation of China(Grant No.U20A20112)the Research Grants Council of the Hong Kong SAR Government,China(Grant Nos.T22-606/23-R and 16206923).
文摘Glacier landslide cascading hazards pose threats to communities and infrastructure,affected by complex processes including the amplification of mass flow volume through erosion and entrainment,transformation of hazard types,ice-water phase change,and enhanced mobility of the mass flow.Scientifically simulating these physical phenomena proves challenging.This study introduces GMFA(glacier mass flow analysis),an integrated numerical model that advances the field by:(1)proposing depth-averaged fluctuation energy and internal energy equations,(2)incorporating the ice-water phase change and the entrainment-deposition process,and(3)capturing their effects on mass flow runout characteristics.The model employs the finite volume method to solve the multi-physics coupled governing equations,enabling efficient large-scale simulations.The model is verified through three numerical tests covering flow dynamics,temperature evolution,and thermo-hydro-mechanical runout processes.The model is applied to analyze a hazard chain that occurred on 10 September 2020 on the Tibetan Plateau.The multi-scenario simulation results indicate an entrained mass volume of(4.95±0.11)×10^(5)m^(3),and a ratio of entrained mass volume to source material volume of 0.44.The solid concentration decreases from 0.6-0.7 to 0.1-0.15 with increasing runout distance,indicating a transition from avalanche to debris flood.The internal energy rises by(3-4)×10^(3)kJ/m^(3),driving rapid ice melting from 0.1 to 0.2 to near-zero concentration.The model effectively quantifies volume amplification,ice-water phase changes,and multi-hazard transformations.This model pushes the geoscience frontier,extending computational capability from single-to multi-hazard simulations and providing a powerful tool for analyzing glacier cascading hazards.
基金the UGC,New Delhi,India for financial assistance via the UGC-Junior Research Fellowship(CSIR-UGC NET JULY 2024)(Student ID:241610090610)。
文摘The flow of a tetra-hybrid Casson nanofluid(Al_(2)O_(3)-CuO-TiO_(2)-Ag/H_(2)O)over a nonlinear stretching sheet is investigated.The Buongiorno model is used to account for thermophoresis and Brownian motion,while thermal radiation is incorporated to examine its influence on the thermal boundary layer.The governing partial differential equations(PDEs)are reduced to a system of nonlinear ordinary differential equations(ODEs)with fully non-dimensional similarity transformations involving all independent variables.To solve the obtained highly nonlinear system of differential equations,a novel Clique polynomial collocation method is applied.The analysis focuses on the effects of the Casson parameter,power index,radiation parameter,thermophoresis parameter,Brownian motion parameter,and Lewis number.The key findings show that thermal radiation intensifies the thermal boundary layer,the Casson parameter reduces the velocity,and the Lewis number suppresses the concentration with direct relevance to polymer processing,coating flows,electronic cooling,and biomedical applications.
文摘On January 23,2026,the second plenary session of the China Expo Forum for International Cooperation(CEFCO) convened in Wuhan,Hubei Province.Amid significant changes in the global exhibition landscape,participants shared recent developments,key data,and future trends in major markets,offering guidance for industry practitioners to drive progress.
基金founded by the Ministry of Science and Higher Education of the Russian Federation,State assignments for research,registration No.1024032600084-8-1.3.2Study of the grain growth and the formation of polycrystalline structure as a result of phase transition(Section 6)was founded by the Russian Science Foundation,Project No.24-71-00078+3 种基金https://rscf.ru/en/project/24-71-00078/(accessed on 01 December 2025).Study of the orientation dependence of the phase transition of aluminum in Section 3 was founded by the Russian Science Foundation,Project No.24-19-00684https://rscf.ru/en/project/24-19-00684/(accessed on 01 December 2025).
文摘It is well known that aluminum and copper exhibit structural phase transformations in quasi-static and dynamic measurements,including shock wave loading.However,the dependence of phase transformations in a wide range of crystallographic directions of shock loading has not been revealed.In this work,we calculated the shock Hugoniot for aluminum and copper in different crystallographic directions([100],[110],[111],[112],[102],[114],[123],[134],[221]and[401])of shock compression using molecular dynamics(MD)simulations.The results showed a high pressure(>160 GPa for Cu and>40 GPa for Al)of the FCC-to-BCC transition.In copper,different characteristics of the phase transition are observed depending on the loading direction with the[100]compression direction being the weakest.The FCC-to-BCC transition for copper is in the range of 150–220 GPa,which is consistent with the existing experimental data.Due to the high transition pressure,the BCC phase transition in copper competes with melting.In aluminum,the FCC-to-BCC transition is observed for all studied directions at pressures between 40 and 50 GPa far beyond the melting.In all considered cases we observe the coexistence of HCP and BCC phases during the FCC-to-BCC transition,which is consistent with the experimental data and atomistic calculations;this HCP phase forms in the course of accompanying plastic deformation with dislocation activity in the parent FCC phase.The plasticity incipience is also anisotropic in bothmetals,which is due to the difference in the projections of stress on the slip plane for different orientations of the FCC crystal.MD modeling results demonstrate a strong dependence of the FCC-to-BCC transition on the crystallographic direction,in which the material is loaded in the copper crystals.However,MD simulations data can only be obtained for specific points in the stereographic direction space;therefore,for more comprehensive understanding of the phase transition process,a feed-forward neural network was trained using MD modeling data.The trained machine learning model allowed us to construct continuous stereographic maps of phase transitions as a function of stress in the shock-compressed state of metal.Due to appearance and growth of multiple centers of new phase,the FCC-to-BCC transition leads to formation of a polycrystalline structure from the parent single crystal.
基金Sponsored by Hubei Provincial Higher Education Teaching Reform Research Project(2023584)Philosophy and Social Sciences Research Project of Hubei Provincial Department of Education(3Z634)Hubei Provincial Education Science Planning Project(2023GB119).
文摘In order to effectively serve the modernization of China,the Landscape Architecture discipline of the College of Science and Technology of China Three Gorges University,building on its distinctive disciplinary strengths and proactively adapting to the demands of the times,has proposed an innovative transformation and development model centered on the principle of“Green,Digital-intelligence,Humanity,and Integration(GDHI)”and conducted comprehensive practical research through multiple dimensions,including restructuring talent training programs,innovating teaching content and methods,and fostering indepth interdisciplinary integration.This has resulted in the formation of a distinctive,innovative teaching methods,providing valuable experience for further transformation and reshaping of the Landscape Architecture discipline and related disciplines.
基金supported by the Fundamental Research Funds for the Central Universitiesfollowing projects:the Major Project of the National Social Science Fund of China(NSSFC)“Research on the Synergistic Mechanisms of Innovation and Governance for High-Quality Development of the Digital Economy”(Grant No.22&ZD070)+1 种基金the Youth Project of the National Natural Science Foundation of China(NSFC)“Research on Risk-Taking of Zombie Enterprises from a Government-Enterprise Interaction Perspective:Tendency,Behavioral Patterns,and Economic Consequences”(Grant No.72002213)the General Program of the National Natural Science Foundation of China(NSFC)“Reshaping Enterprise Nature,Boundaries,and Internal Organization in the Digital Economy”(Grant No.72273144).
文摘Despite broad consensus on the importance of enterprise digital transformation,significant discrepancies persist regarding its actual effects.This divergence stems primarily from two key measurement challenges:(1)a lack of clear and consistent definitions of enterprise digital transformation,and(2)a lack of rigorous and accurate measurement methodologies.These shortcomings lead to research findings that are incomparable,difficult to replicate,and often conflicting.To effectively address the aforementioned challenges,this paper employs machine learning and large language models(LLMs)to construct a novel set of indicators for enterprise digital transformation.The work begins by manually annotating sentences from annual reports of listed companies in China from 2006 to 2020.These labeled sentences are then used to train and fine-tune several machine learning models,including LLMs.The ERNIE model,demonstrating the best classification performance among the models tested,is selected as the sentence classifier to predict sentence labels across the full text of the annual reports,ultimately constructing the enterprise digital transformation metrics.Both theoretical analysis and multiple data cross-validations demonstrate that the metrics developed in this paper are more accurate than existing approaches.Based on these metrics,the paper empirically examines the impact of enterprise digital transformation on financial performance.Our findings reveal three key points:(1)enterprise digital transformation significantly enhances financial performance,with big data,AI,mobile internet,cloud computing,and the Internet of Things(IoT)all playing a significant role;however,blockchain technology does not show a significant effect;(2)the significant positive effect of digital transformation on financial performance is primarily observed in firms with weaker initial financial performance;and(3)enterprise digital transformation improves financial performance mainly through enhancing efficiency and reducing costs.This research has practical implications for promoting enterprise digital transformation and fostering high-quality economic development.
基金supported by the China Association of Trade in Services(CATIS-PR-250225).
文摘This study examined the relationship between transformational leadership and employee bootleg innovation through the mediating role of creative self-efficacy and the moderating role of leader-member exchange(LMX).Data were collected from 279 employees and 56 matched supervisors within a large Chinese digital transformation group.A moderated mediation model analysis found that transformational leadership predicts higher employee bootleg innovation.Creative self-efficacy mediated the positive relationship between transformational leadership and employee bootleg.Additionally,leader-member exchange significantly moderated the relationship between transformational leadership and creative self-efficacy,for a further enhancement of bootleg innovation.Thesefindings underscore the importance of transformative leadership in fostering digital employee innovation.This study provides further evidence of the relevance of self-determination theory in explaining the leadership and employee innovation,relationship within the context of digital transformation.By implication,creative self-efficacy and leader-member exchange are modifiable factors by digital transformation entities seeking a competitive advantage.
文摘With the acceleration of the global digital wave,enterprise procurement management is facing multiple challenges such as cost pressure,supply chain collaboration demand,and insufficient information ability.Based on dynamic capability theory,resource-based view,and value chain theory,this paper constructs a four-level research framework of“driving factors-transformation paths-strategic actions-performance evaluation”.Firstly,through literature analysis and case review,it summarizes the internal and external driving factors such as external market competition pressure,supply chain coordination demand,policy and regulatory environment,as well as enterprise information foundation,organizational culture,and talent reserve,and analyzes their mechanism of action on procurement digital transformation.Secondly,the procurement digital transformation path is divided into two types:gradual upgrading and leap-forward reconstruction,and the strategic and tactical level strategies,such as top-level design,data governance,process remodeling,supplier collaboration platform construction,and intelligent decision support,are proposed.Thirdly,the implementation guarantee mechanism was designed from the four aspects of organization management,technology platform,talent culture,and risk control.Finally,the performance evaluation index system covering cost,cycle,quality,risk,and digital maturity was constructed,and the evaluation method and continuous improvement mechanism based on balanced scorecard and ROI/TCO analysis were proposed.The results show that the systematic strategy design and multi-dimensional guarantee can effectively improve the procurement efficiency of enterprises,reduce operating costs,enhance supply chain resilience,and provide theoretical and practical guidance for enterprises to achieve sustainable competitive advantage.
文摘Following the global economy’s shift toward a digital-based system,the significance of digital transformation(DT)at the firm level has become increasingly important.Accordingly,this study aims to enhance understanding of a firm’s DT by examining the varying impacts ofirm life cycle(FLC)stages on DT adoption.We consider the impact of the mass entrepreneur and innovation campaign(MEIC)on this relationship.Based on the data of China A-share non-financial companies listed on the Shanghai and Shenzhen stock exchanges from 2010 to 2020.The baseline findings reveal that firms in the growth stage are likelier to adopt DT than firms in the introduction and decline stages;however,DT adoption in the maturity stage is uncertain.MEIC encourages DT adoption during the introduction,maturity,and decline stages.Furthermore,the univariate test demonstrates a relative enhancement in DT after implementing MEIC,underscoring its role in effectively allocating resources within the firms to embrace DT.This study’s results are robust across various estimation techniques and instrumental variables.The empirical results offer insights into policy implications,highlighting the factors shaping firms’DT adoption decisions at different FLC stages and endorsing resource-based and agency theories.
文摘In recent years,with the advent of the digital era,digital transformation has become a mainstream social trend.As a powerful driving force,digital transformation is profoundly changing the operation mode and management method of enterprise supply chains.Enterprises should seize this opportunity to continuously enhance supply chain resilience.Enhancing enterprise supply chain resilience based on digital transformation can not only improve the supply chain’s resistance and recovery capabilities,but also further enhance its innovation capability.This helps enterprises better respond to various unstable factors and provides protection for promoting the sustainable development of the supply chain.In this regard,this paper first expounds the multi-dimensional value of digital transformation in enhancing enterprise supply chain resilience,and then puts forward effective paths,aiming to provide certain reference for relevant researchers.
