Against the backdrop of integrated development between technical education and higher vocational education,the teaching of Chinese Medicine Processing Technology courses faces new opportunities and challenges.This pap...Against the backdrop of integrated development between technical education and higher vocational education,the teaching of Chinese Medicine Processing Technology courses faces new opportunities and challenges.This paper analyzes the existing problems in the current teaching of Chinese Medicine Processing Technology courses,discusses the necessity of reforming the teaching model under the context of integration,and proposes the construction of a"Dual-Capability Progression,Six-Dimensional Empowerment"teaching model.The aim is to enhance the teaching quality of Chinese Medicine Processing Technology courses and cultivate high-quality skilled talents in Chinese medicine processing who can meet industry demands.展开更多
Uzbekistan Institute of Standards(UIS),founded in 1969,is the national standardization body of Uzbekistan.There are over 32,000 national standards in Uzbekistan.Last year,UIS revised the working regulations of all tec...Uzbekistan Institute of Standards(UIS),founded in 1969,is the national standardization body of Uzbekistan.There are over 32,000 national standards in Uzbekistan.Last year,UIS revised the working regulations of all technical committees,which were established in accordance with the organizational structure of ISO.At present,UIS has standardization training courses covering 54 directions,and more than 1,700 experts have received relevant training.UIS ranks the 95th in terms of the Quality Infrastructure for Sustainable Development(QI4SD)and 80th in terms of the Global Quality Infrastructure Index(GQII).It is a member of ISO and an associate member of IEC.In the UIS,40 experts have participated in the activities of various ISO technical committees,and 251 experts have participated in the discussion of IEC projects as observer members.展开更多
Under the backdrop of“Carbon Peak and Carbon Neutrality”(dual carbon)goal in China,the methane-carbon dioxide reforming reaction has attracted considerable attention due to its environmental benefits of converting t...Under the backdrop of“Carbon Peak and Carbon Neutrality”(dual carbon)goal in China,the methane-carbon dioxide reforming reaction has attracted considerable attention due to its environmental benefits of converting two greenhouse gases(methane and carbon dioxide)into syngas and its promising industrial applications.Nickel(Ni)-based catalysts,with high catalytic activity,low cost,and abundant resources,are considered ideal candidates for industrial applications.In this article,three reaction kinetic models were briefly introduced,namely the Power-Law(PL)model,the Eley-Rideal(ER)model,and the Langmuir-Hinshelwood-Hougen-Watson(LHHW)model.Based on the LHHW model,the reaction kinetics and mechanisms of different catalytic systems were systematically discussed,including the properties of supports,the doping of noble metals and transition metals,the role of promoters,and the influence of the geometric and electronic structures of Ni on the reaction mechanism.Furthermore,the kinetics of carbon deposition and elimination on various catalysts were analyzed.Based on the reaction rate expressions for carbon elimination,the reasons for the high activity of transition metal iron(Fe)-doped catalysts and core-shell structured catalysts in carbon elimination were explained.Based on the detailed collation and comparative analysis of the reaction mechanisms and kinetic characteristics across diverse Ni-based catalytic systems,a theoretical guidance for the designing of high-performance catalysts was provided in this work.展开更多
Members of the British Textile Machinery Association(BTMA)can look back on 2025 as a year marked by notable technological advances and continued progress in global trade,despite an uncertain and volatile market.“Our ...Members of the British Textile Machinery Association(BTMA)can look back on 2025 as a year marked by notable technological advances and continued progress in global trade,despite an uncertain and volatile market.“Our members have been very active over the past 12 months and this has resulted in new technologies for the production of technical fibres and fabrics,the introduction of AI and machine learning into process control systems and significant advances in materials testing,”says BTMA CEO Jason Kent.“There’s real excitement about what can be achieved in 2026 as we look ahead to upcoming exhibitions such as JEC Composites in Paris in March and Techtextil in Frankfurt in April.”展开更多
The presented study analyses the impact of hysteresis on the response of mechanical systems.The main objective is to determine how the hysteretic models influence the system behaviour and if they can be utilised to de...The presented study analyses the impact of hysteresis on the response of mechanical systems.The main objective is to determine how the hysteretic models influence the system behaviour and if they can be utilised to describe a damaged or a faulty system.The hysteretic models are able to describe various types of nonlinear behaviour that can reflect the wear or damage of the system components.The data obtained from these models can possibly serve as a basis for the advanced approaches,such as digital twin modelling and predictive maintenance.All the results presented in this study were obtained in the MATLAB environment.The first part of the study provides a concise review of hysteretic models and compares them under the condition of equal energy dissipation per loading cycle.The models considered include the linear,bilinear,Bouc-Wen,Wang-Wen,and generalised Bouc-Wen models.The second part focuses on the development of a mechanical model and the implementation of the mentioned hysteretic models.The stochastic modelling of the driving forces is carried out using the Kanai-Tajimi differential model.The results show that the hysteretic models noticeably influence the treated model.This is also reflected in the frequency domain.The behaviour of hysteretic systems suggests increased energy dissipation combined with the changes in stiffness of the suspension components.Among the presented models,the asymmetric models can be considered as the most suitable for further modelling of damaged systems.展开更多
The rapid development of artificial intelligence(AI)has placed significant pressure on universities to rethink how they train software engineering students.Tools like GitHub Copilot can now generate basic code in seco...The rapid development of artificial intelligence(AI)has placed significant pressure on universities to rethink how they train software engineering students.Tools like GitHub Copilot can now generate basic code in seconds.This raises important questions:What is the value of traditional programming education?What role should instructors play when AI becomes a powerful teaching assistant?How should the goals of software engineering programs change as companies increasingly use AI to handle coding tasks?This paper explores the key challenges AI brings to software engineering education and proposes practical strategies for updating talent development models to meet these changes.展开更多
To meet the need for cultivating application-oriented talents in local universities,this study introduced a project-based learning approach into the reform of bioinformatics experimental teaching.The course was struct...To meet the need for cultivating application-oriented talents in local universities,this study introduced a project-based learning approach into the reform of bioinformatics experimental teaching.The course was structured around a project titled"Influenza Virus Analysis",comprising four progressive modules:database utilization and information retrieval,sequence alignment and phylogenetic analysis,functional and structural prediction,and omics data analysis.These modules were integrated into a coherent research workflow that connected fragmented knowledge and technical skills.During implementation,flipped classroom and group collaboration methods were employed,alongside the establishment of a diversified assessment system emphasizing process evaluation.Teaching practice indicates that the reform effectively enhances students professional application skills,learning experience,and scientific literacy,facilitating a shift from"tool operation"to"problem-solving"capabilities.This study provides a reference model for the reform of bioinformatics experimental teaching in local universities.展开更多
Sintering and coking are critical barriers to achieving high performance in dry reforming of methane(DRM)catalysts.A finely dispersed and thermostable Ni-based catalyst is the key to address these issues.By leveraging...Sintering and coking are critical barriers to achieving high performance in dry reforming of methane(DRM)catalysts.A finely dispersed and thermostable Ni-based catalyst is the key to address these issues.By leveraging the intrinsic superiorities of high-entropy oxides in high-temperature stability and low atomic diffusivity,in this study,a highly dispersed Ni-based catalyst is synthesized via an entropycontrolled exsolution of active components.By increasing the number of transition-metal elements in spinel oxides,the active metalsupport interaction(MSI)can be continuously strengthened,which controls the exsolution and thermal stability of Ni-based active metal in harsh reaction conditions of DRM.An optimized medium-entropy spinel(Mg_(0.4)Ni_(0.2)Co_(0.2)Zn_(0.2))Al_(2)O_(4)with the exsolution of finely dispersed Ni–Co nanoparticles displayed superior activity and stability in thermal DRM at 800°C and photothermal DRM.This entropy-controlled MSI and exsolution principle provides a significant strategy for designing robust catalysts resistant to sintering and coking for high-temperature reactions like DRM in thermal and photothermal systems.展开更多
Methanol steam reforming(MSR)represents a promising route for hydrogen production,leveraging the high energy density and liquid-phase storage advantages of methanol.Copper-based catalysts have become indispensable for...Methanol steam reforming(MSR)represents a promising route for hydrogen production,leveraging the high energy density and liquid-phase storage advantages of methanol.Copper-based catalysts have become indispensable for MSR due to their cost-effectiveness,exceptional catalytic activity,and tunable selectivity.However,persistent challenges such as thermal sintering,undesirable CO byproduct formation,diminished low-temperature reactivity,and long-term catalyst deactivation limit their broad industrial deployment.This review comprehensively examines the mechanistic pathways of MSR over Cu-based catalysts,with particular focus on differentiating catalyst formulations optimized for high-temperature(>200°C)versus low-temperature(<200°C)operation.It highlights the decisive influence of Cu nanoparticle size,electronic structure,and crystal structure on catalytic performance.Cutting-edge design strategies,including multi-element engineering,innovative synthesis techniques,and deactivation mitigation,are critically evaluated to elucidate mechanistic connections between atomic-scale structure and catalytic performance enhancement.Finally,industrial applications of commercial Cu/ZnO/Al_(2)O_(3)variants and their scalability challenges are discussed,alongside prospective strategies for catalyst innovation and engineering to advance next-generation hydrogen production.展开更多
Recently,the Standardization Administration of China issued Announcement No.1 of 2026,officially approving the establishment of the Subcommittee 1 on Nonwoven Material of National Technical Committee 606 on Technical ...Recently,the Standardization Administration of China issued Announcement No.1 of 2026,officially approving the establishment of the Subcommittee 1 on Nonwoven Material of National Technical Committee 606 on Technical Textiles of Standardization Administration of China(SAC/TC606/SC1)and the Subcommittee 2 on Filtration and Separation Textiles of National Technical Committee 606 on Technical Textiles of Standardization Administration of China(SAC/TC606/SC2).The formation of these two subcommittees marks a crucial step in the standardization development of China's industrial textiles sector in specialized fields.展开更多
Aiming at the problem of innovative talent training in the industry field in characteristic software colleges,combined with the actual situation of Software College of Northeastern University,this paper analyzes the c...Aiming at the problem of innovative talent training in the industry field in characteristic software colleges,combined with the actual situation of Software College of Northeastern University,this paper analyzes the construction requirements of characteristic talent training mode and training scheme,puts forward the reform of characteristic software innovative talent training scheme integrating production and education,and takes the characteristic direction of financial technology as an example to introduce the curriculum construction based on industry-education integration and school-enterprise cooperation.展开更多
A 10%Ni/γ-Al_(2)O_(3)catalyst was prepared for dry reforming of methane.Sphericalγ-Al_(2)O_(3)particles having an average particle size of 60μm were used as the support and an iso-volume impregnation method was emp...A 10%Ni/γ-Al_(2)O_(3)catalyst was prepared for dry reforming of methane.Sphericalγ-Al_(2)O_(3)particles having an average particle size of 60μm were used as the support and an iso-volume impregnation method was employed for the preparation.All activity-evaluation tests were conducted in a fluidized-bed quartz reactor at 0.1 MPa and variable temperatures and space velocities for 600 min.The results of the tests revealed that at 750℃ the catalyst activity showed an obviously accelerated decrease trend with the increase of space velocity.Ther-mogravimetric analysis of the spent catalysts revealed,however,that little carbon deposit formed in those spent samples that had experienced faster decreases in activity at higher space velocities.While these two facts together deny the possibility of carbon deposition leading to the accelerated activity decline at 750℃and high space velocities,increasing the CO_(2)/CH_(4)ratio of the feed was demonstrated to further accelerate the activity decrease.Meanwhile,XRD and XPS analyses of the spent catalyst samples revealed that oxidative transformation of metallic Ni in catalyst to Ni_(x)O(x≤1)species did occur in the reforming in the feed of CO_(2)/CH_(4)=1.5.All these results together have strongly revealed,for the first time,a conclusion as follows:it was the gradual oxidative transformation of active Ni sites in 10%Ni/γ-Al_(2)O_(3)catalyst to inactive Ni oxide species to cause a continuous decline of its dry reforming activity in fluidized-bed operation mode and at 750℃ and high space velocity condition.展开更多
Seven schemes for the developing extension, four schemes for the mining of the whole field and five schemes for the parameter are put forward in this paper to rational choice of technical reform schemes of Mine No.1. ...Seven schemes for the developing extension, four schemes for the mining of the whole field and five schemes for the parameter are put forward in this paper to rational choice of technical reform schemes of Mine No.1. Pingdingshan Mining Bureau.On the basis of conventional technical analysis, an optimum economy-mathmetical model of the developing preparatory schemes is worked out and a synthetic optimum is carried out.展开更多
提出了一种基于PiReformer的风功率预测模型。首先,针对海量高维传感器捕获的数据,提出融合F检验、互信息与方差分析的特征筛选方法,将3类方法提取的特征融合后输入后续预测模型。进一步,在现有Reformer模型的基础上,对嵌入层进行转置...提出了一种基于PiReformer的风功率预测模型。首先,针对海量高维传感器捕获的数据,提出融合F检验、互信息与方差分析的特征筛选方法,将3类方法提取的特征融合后输入后续预测模型。进一步,在现有Reformer模型的基础上,对嵌入层进行转置改进并引入随机噪声,显著提升了模型性能;同时,提出改进的前馈层网络,基于门控线性单元(gated linear unit,GLU)改进单一全连接层,增强对非线性特征的提取能力。此外,模型具备反向残差结构及局部敏感哈希(locality sensitive Hashing,LSH)注意力模块。将所提方法应用于实际风电场的风功率预测,相较于现有模型,取得了更高精度的预测结果。展开更多
The reform stems from honesty and determination. Since 2005, organ donation and transplantation in China has undergone thorough reform, which complies with legislation requirements and ethical principles established b...The reform stems from honesty and determination. Since 2005, organ donation and transplantation in China has undergone thorough reform, which complies with legislation requirements and ethical principles established by the World Health Organization(WHO). Reform in China has demonstrated the unwavering confidence and utmost determination of the Chinese government and the Chinese transplantation community. The year 2015 marked a historic turning point when voluntary donations from Chinese citizens became the sole legitimate source for organ transplantation. Since 2015, China has gradually established and refined the “Chinese Mode” and “China System” for organ donation and transplantation, fulfilling its political pledge of reform, and has garnered international recognition, and fostered a social culture which promotes organ donation. This article reviewed the history of reform on organ donation and transplantation in China, presented a new pattern of establishment of organ donation system in the new era of the country, and the direction of advances in the future.展开更多
Preface On October 13, 1958, in the county town of Deyang in southwestern China, a new power equipment manufacture enterprise-Dongfa ng Electric Machinery was es tablished, which had been placed
With the rapid development of artificial intelligence technology,deep learning,as one of its core technologies,occupies an important position in the cultivation of applied talents.Based on the concept of integration o...With the rapid development of artificial intelligence technology,deep learning,as one of its core technologies,occupies an important position in the cultivation of applied talents.Based on the concept of integration of industry and education,this paper proposes a systematic teaching reform plan to address the issues of disconnection between theory and practice,single teaching methods,and insufficient practical resources in the deep learning courses for professional master’s students at our university.Through deep cooperation with Huawei Cloud Technologies Co.,Ltd.,we introduce cutting-edge theoretical content(such as GoogleNet,ResNet,Transformer,BERT,etc.),update practical cases(covering computer vision,natural language processing,and smart manufacturing),and adopt a case-led comprehensive teaching method combined with the online and offline hybrid practical platform ModelArts to promote the close integration of theory and practice.Simultaneously,a diversified evaluation system with practice as the core is constructed to comprehensively assess students’practical abilities and project execution levels.The research in this paper provides a valuable reference for the innovation of teaching modes and the cultivation of practical abilities in deep learning courses in higher education institutions.展开更多
With ongoing global warming and increasing energy demands,the CH_(4)-CO_(2)reforming reaction(dry reforming of methane,DRM)has garnered significant attention as a promising carbon capture and utilization technology.Ni...With ongoing global warming and increasing energy demands,the CH_(4)-CO_(2)reforming reaction(dry reforming of methane,DRM)has garnered significant attention as a promising carbon capture and utilization technology.Nickel-based catalysts are renowned for their outstanding activity and selectivity in this process.The impact of metal-support interaction(MSI),on Ni-based catalyst performance has been extensively researched and debated recently.This paper reviews the recent research progress of MSI on Ni-based catalysts and their characterization and modulation strategies in catalytic reactions.From the perspective of MSI,the effects of different carriers(metal oxides,carbon materials and molecular sieves,etc.)are introduced on the dispersion and surface structure of Ni active metal particles,and the effect of MSI on the activity and stability of DRM reactions on Ni-based catalysts is discussed in detail.Future research should focus on better understanding and controlling MSI to improve the performance and durability of nickel-based catalysts in CH_(4)-CO_(2)reforming,advancing cleaner energy technologies.展开更多
Purpose:We aimed to measure the variation in researchers’knowledge and attitudes towards bibliometric indicators.The focus is on mapping the heterogeneity of this metric-wiseness within and between disciplines.Design...Purpose:We aimed to measure the variation in researchers’knowledge and attitudes towards bibliometric indicators.The focus is on mapping the heterogeneity of this metric-wiseness within and between disciplines.Design/methodology/approach:An exploratory survey is administered to researchers at the Sapienza University of Rome,one of Europe’s oldest and largest generalist universities.To measure metric-wiseness,we use attitude statements that are evaluated by a 5-point Likert scale.Moreover,we analyze documents of recent initiatives on assessment reform to shed light on how researchers’heterogeneous attitudes regarding and knowledge of bibliometric indicators are taken into account.Findings:We found great heterogeneity in researchers’metric-wiseness across scientific disciplines.In addition,within each discipline,we observed both supporters and critics of bibliometric indicators.From the document analysis,we found no reference to individual heterogeneity concerning researchers’metric wiseness.Research limitations:We used a self-selected sample of researchers from one Italian university as an exploratory case.Further research is needed to check the generalizability of our findings.Practical implications:To gain sufficient support for research evaluation practices,it is key to consider researchers’diverse attitudes towards indicators.Originality/value:We contribute to the current debate on reforming research assessment by providing a novel empirical measurement of researchers’knowledge and attitudes towards bibliometric indicators and discussing the importance of the obtained results for improving current research evaluation systems.展开更多
With the rapid development of artificial intelligence(AI)technology,the teaching mode in the field of education is undergoing profound changes.Especially the design and implementation of personalized learning paths ha...With the rapid development of artificial intelligence(AI)technology,the teaching mode in the field of education is undergoing profound changes.Especially the design and implementation of personalized learning paths have become an important direction of intelligent teaching reform.The traditional“one-size-fits-all”teaching model has gradually failed to meet the individualized learning needs of students.However,through the advantages of data analysis and real-time feedback,AI technology can provide tailor-made teaching content and learning paths based on students’learning progress,interests,and abilities.This study explores the innovation of the personalized learning path model based on AI technology,and analyzes the potential and challenges of this model in improving teaching effectiveness,promoting the all-round development of students,and optimizing the interaction between teachers and students.Through case analysis and empirical research,this paper summarizes the implementation methods of the AI-driven personalized learning path,the innovation of teaching models,and their application prospects in educational reform.Meanwhile,the research also discussed the ethical issues of AI technology in education,data privacy protection,and its impact on the teacher-student relationship,and proposed corresponding solutions.展开更多
基金Supported by Scientific Research Fund Project of Yunnan Provincial Department of Education(2025J1950).
文摘Against the backdrop of integrated development between technical education and higher vocational education,the teaching of Chinese Medicine Processing Technology courses faces new opportunities and challenges.This paper analyzes the existing problems in the current teaching of Chinese Medicine Processing Technology courses,discusses the necessity of reforming the teaching model under the context of integration,and proposes the construction of a"Dual-Capability Progression,Six-Dimensional Empowerment"teaching model.The aim is to enhance the teaching quality of Chinese Medicine Processing Technology courses and cultivate high-quality skilled talents in Chinese medicine processing who can meet industry demands.
文摘Uzbekistan Institute of Standards(UIS),founded in 1969,is the national standardization body of Uzbekistan.There are over 32,000 national standards in Uzbekistan.Last year,UIS revised the working regulations of all technical committees,which were established in accordance with the organizational structure of ISO.At present,UIS has standardization training courses covering 54 directions,and more than 1,700 experts have received relevant training.UIS ranks the 95th in terms of the Quality Infrastructure for Sustainable Development(QI4SD)and 80th in terms of the Global Quality Infrastructure Index(GQII).It is a member of ISO and an associate member of IEC.In the UIS,40 experts have participated in the activities of various ISO technical committees,and 251 experts have participated in the discussion of IEC projects as observer members.
基金Supported by Innovation Capability Support Program of Shaanxi(2024RS-CXTD-53,2024ZC-KJXX-096)the Key R&D Program of Shaanxi Province(2022QCY-LL-69)Xi’an Science and Technology Project(24GXFW0089)。
文摘Under the backdrop of“Carbon Peak and Carbon Neutrality”(dual carbon)goal in China,the methane-carbon dioxide reforming reaction has attracted considerable attention due to its environmental benefits of converting two greenhouse gases(methane and carbon dioxide)into syngas and its promising industrial applications.Nickel(Ni)-based catalysts,with high catalytic activity,low cost,and abundant resources,are considered ideal candidates for industrial applications.In this article,three reaction kinetic models were briefly introduced,namely the Power-Law(PL)model,the Eley-Rideal(ER)model,and the Langmuir-Hinshelwood-Hougen-Watson(LHHW)model.Based on the LHHW model,the reaction kinetics and mechanisms of different catalytic systems were systematically discussed,including the properties of supports,the doping of noble metals and transition metals,the role of promoters,and the influence of the geometric and electronic structures of Ni on the reaction mechanism.Furthermore,the kinetics of carbon deposition and elimination on various catalysts were analyzed.Based on the reaction rate expressions for carbon elimination,the reasons for the high activity of transition metal iron(Fe)-doped catalysts and core-shell structured catalysts in carbon elimination were explained.Based on the detailed collation and comparative analysis of the reaction mechanisms and kinetic characteristics across diverse Ni-based catalytic systems,a theoretical guidance for the designing of high-performance catalysts was provided in this work.
文摘Members of the British Textile Machinery Association(BTMA)can look back on 2025 as a year marked by notable technological advances and continued progress in global trade,despite an uncertain and volatile market.“Our members have been very active over the past 12 months and this has resulted in new technologies for the production of technical fibres and fabrics,the introduction of AI and machine learning into process control systems and significant advances in materials testing,”says BTMA CEO Jason Kent.“There’s real excitement about what can be achieved in 2026 as we look ahead to upcoming exhibitions such as JEC Composites in Paris in March and Techtextil in Frankfurt in April.”
基金supported by projects KEGA,Nos.002ŽU-4/2023,and 005ŽU-4/2024,and by the project VEGA,No.1/0423/23.
文摘The presented study analyses the impact of hysteresis on the response of mechanical systems.The main objective is to determine how the hysteretic models influence the system behaviour and if they can be utilised to describe a damaged or a faulty system.The hysteretic models are able to describe various types of nonlinear behaviour that can reflect the wear or damage of the system components.The data obtained from these models can possibly serve as a basis for the advanced approaches,such as digital twin modelling and predictive maintenance.All the results presented in this study were obtained in the MATLAB environment.The first part of the study provides a concise review of hysteretic models and compares them under the condition of equal energy dissipation per loading cycle.The models considered include the linear,bilinear,Bouc-Wen,Wang-Wen,and generalised Bouc-Wen models.The second part focuses on the development of a mechanical model and the implementation of the mentioned hysteretic models.The stochastic modelling of the driving forces is carried out using the Kanai-Tajimi differential model.The results show that the hysteretic models noticeably influence the treated model.This is also reflected in the frequency domain.The behaviour of hysteretic systems suggests increased energy dissipation combined with the changes in stiffness of the suspension components.Among the presented models,the asymmetric models can be considered as the most suitable for further modelling of damaged systems.
基金supported in part by the Northeastern University’s 2024 Undergraduate Education and Teaching Reform Research Project:Innovation and Practice of Professional Course Teaching Paradigms in the Context of Digital Education.
文摘The rapid development of artificial intelligence(AI)has placed significant pressure on universities to rethink how they train software engineering students.Tools like GitHub Copilot can now generate basic code in seconds.This raises important questions:What is the value of traditional programming education?What role should instructors play when AI becomes a powerful teaching assistant?How should the goals of software engineering programs change as companies increasingly use AI to handle coding tasks?This paper explores the key challenges AI brings to software engineering education and proposes practical strategies for updating talent development models to meet these changes.
基金Supported by Undergraduate Higher Education Teaching Quality and Reform Projects of Guangdong Province(Yuejiao Gao Han[2024]No.9,Yuejiao Gao Han[2024]No.30)Guangdong Basic and Applied Basic Research Foundation(2023A1515110973)+1 种基金Guangdong Provincial Young Innovative Talents Project of General Colleges and Universities(2023KQNCX089)Quality Engineering and Teaching Reform Projects of Zhaoqing University(zlgc202239,zlgc202207,zlgc2024005,zlgc2024038).
文摘To meet the need for cultivating application-oriented talents in local universities,this study introduced a project-based learning approach into the reform of bioinformatics experimental teaching.The course was structured around a project titled"Influenza Virus Analysis",comprising four progressive modules:database utilization and information retrieval,sequence alignment and phylogenetic analysis,functional and structural prediction,and omics data analysis.These modules were integrated into a coherent research workflow that connected fragmented knowledge and technical skills.During implementation,flipped classroom and group collaboration methods were employed,alongside the establishment of a diversified assessment system emphasizing process evaluation.Teaching practice indicates that the reform effectively enhances students professional application skills,learning experience,and scientific literacy,facilitating a shift from"tool operation"to"problem-solving"capabilities.This study provides a reference model for the reform of bioinformatics experimental teaching in local universities.
基金supported by the National Key R&D Program of China(2023YFB4104600)National Natural Science Foundation of China(52572313)+1 种基金Tangshan Talent Funding Project(A202202007)Shenzhen Science and Technology Innovation Commission under Grant No.20231120185819001。
文摘Sintering and coking are critical barriers to achieving high performance in dry reforming of methane(DRM)catalysts.A finely dispersed and thermostable Ni-based catalyst is the key to address these issues.By leveraging the intrinsic superiorities of high-entropy oxides in high-temperature stability and low atomic diffusivity,in this study,a highly dispersed Ni-based catalyst is synthesized via an entropycontrolled exsolution of active components.By increasing the number of transition-metal elements in spinel oxides,the active metalsupport interaction(MSI)can be continuously strengthened,which controls the exsolution and thermal stability of Ni-based active metal in harsh reaction conditions of DRM.An optimized medium-entropy spinel(Mg_(0.4)Ni_(0.2)Co_(0.2)Zn_(0.2))Al_(2)O_(4)with the exsolution of finely dispersed Ni–Co nanoparticles displayed superior activity and stability in thermal DRM at 800°C and photothermal DRM.This entropy-controlled MSI and exsolution principle provides a significant strategy for designing robust catalysts resistant to sintering and coking for high-temperature reactions like DRM in thermal and photothermal systems.
基金supported by the National Natural Science Foundation of China(No.22208374)the Excellent Youth Scientist Award Foundation of Shandong Province(No.ZR2024YQ009)+2 种基金the Distinguished Young Scholars of the National Natural Science Foundation of China(No.22322814)CNPC Innovation Found(2022DQ02-0607)the Fundamental Research Funds for the Central Universities(No.24CX07006A).
文摘Methanol steam reforming(MSR)represents a promising route for hydrogen production,leveraging the high energy density and liquid-phase storage advantages of methanol.Copper-based catalysts have become indispensable for MSR due to their cost-effectiveness,exceptional catalytic activity,and tunable selectivity.However,persistent challenges such as thermal sintering,undesirable CO byproduct formation,diminished low-temperature reactivity,and long-term catalyst deactivation limit their broad industrial deployment.This review comprehensively examines the mechanistic pathways of MSR over Cu-based catalysts,with particular focus on differentiating catalyst formulations optimized for high-temperature(>200°C)versus low-temperature(<200°C)operation.It highlights the decisive influence of Cu nanoparticle size,electronic structure,and crystal structure on catalytic performance.Cutting-edge design strategies,including multi-element engineering,innovative synthesis techniques,and deactivation mitigation,are critically evaluated to elucidate mechanistic connections between atomic-scale structure and catalytic performance enhancement.Finally,industrial applications of commercial Cu/ZnO/Al_(2)O_(3)variants and their scalability challenges are discussed,alongside prospective strategies for catalyst innovation and engineering to advance next-generation hydrogen production.
文摘Recently,the Standardization Administration of China issued Announcement No.1 of 2026,officially approving the establishment of the Subcommittee 1 on Nonwoven Material of National Technical Committee 606 on Technical Textiles of Standardization Administration of China(SAC/TC606/SC1)and the Subcommittee 2 on Filtration and Separation Textiles of National Technical Committee 606 on Technical Textiles of Standardization Administration of China(SAC/TC606/SC2).The formation of these two subcommittees marks a crucial step in the standardization development of China's industrial textiles sector in specialized fields.
文摘Aiming at the problem of innovative talent training in the industry field in characteristic software colleges,combined with the actual situation of Software College of Northeastern University,this paper analyzes the construction requirements of characteristic talent training mode and training scheme,puts forward the reform of characteristic software innovative talent training scheme integrating production and education,and takes the characteristic direction of financial technology as an example to introduce the curriculum construction based on industry-education integration and school-enterprise cooperation.
基金financially supported by National Natural Science Foundation of China(U21A20316).
文摘A 10%Ni/γ-Al_(2)O_(3)catalyst was prepared for dry reforming of methane.Sphericalγ-Al_(2)O_(3)particles having an average particle size of 60μm were used as the support and an iso-volume impregnation method was employed for the preparation.All activity-evaluation tests were conducted in a fluidized-bed quartz reactor at 0.1 MPa and variable temperatures and space velocities for 600 min.The results of the tests revealed that at 750℃ the catalyst activity showed an obviously accelerated decrease trend with the increase of space velocity.Ther-mogravimetric analysis of the spent catalysts revealed,however,that little carbon deposit formed in those spent samples that had experienced faster decreases in activity at higher space velocities.While these two facts together deny the possibility of carbon deposition leading to the accelerated activity decline at 750℃and high space velocities,increasing the CO_(2)/CH_(4)ratio of the feed was demonstrated to further accelerate the activity decrease.Meanwhile,XRD and XPS analyses of the spent catalyst samples revealed that oxidative transformation of metallic Ni in catalyst to Ni_(x)O(x≤1)species did occur in the reforming in the feed of CO_(2)/CH_(4)=1.5.All these results together have strongly revealed,for the first time,a conclusion as follows:it was the gradual oxidative transformation of active Ni sites in 10%Ni/γ-Al_(2)O_(3)catalyst to inactive Ni oxide species to cause a continuous decline of its dry reforming activity in fluidized-bed operation mode and at 750℃ and high space velocity condition.
文摘Seven schemes for the developing extension, four schemes for the mining of the whole field and five schemes for the parameter are put forward in this paper to rational choice of technical reform schemes of Mine No.1. Pingdingshan Mining Bureau.On the basis of conventional technical analysis, an optimum economy-mathmetical model of the developing preparatory schemes is worked out and a synthetic optimum is carried out.
文摘提出了一种基于PiReformer的风功率预测模型。首先,针对海量高维传感器捕获的数据,提出融合F检验、互信息与方差分析的特征筛选方法,将3类方法提取的特征融合后输入后续预测模型。进一步,在现有Reformer模型的基础上,对嵌入层进行转置改进并引入随机噪声,显著提升了模型性能;同时,提出改进的前馈层网络,基于门控线性单元(gated linear unit,GLU)改进单一全连接层,增强对非线性特征的提取能力。此外,模型具备反向残差结构及局部敏感哈希(locality sensitive Hashing,LSH)注意力模块。将所提方法应用于实际风电场的风功率预测,相较于现有模型,取得了更高精度的预测结果。
文摘The reform stems from honesty and determination. Since 2005, organ donation and transplantation in China has undergone thorough reform, which complies with legislation requirements and ethical principles established by the World Health Organization(WHO). Reform in China has demonstrated the unwavering confidence and utmost determination of the Chinese government and the Chinese transplantation community. The year 2015 marked a historic turning point when voluntary donations from Chinese citizens became the sole legitimate source for organ transplantation. Since 2015, China has gradually established and refined the “Chinese Mode” and “China System” for organ donation and transplantation, fulfilling its political pledge of reform, and has garnered international recognition, and fostered a social culture which promotes organ donation. This article reviewed the history of reform on organ donation and transplantation in China, presented a new pattern of establishment of organ donation system in the new era of the country, and the direction of advances in the future.
文摘Preface On October 13, 1958, in the county town of Deyang in southwestern China, a new power equipment manufacture enterprise-Dongfa ng Electric Machinery was es tablished, which had been placed
基金Ministry of Education Industry-Education Cooperation and Collaborative Education Project“Tool Abnormality Detection in the Field of Smart Manufacturing Based on Ascend AI Cloud Services”(241100007143750)Dalian Jiaotong University Undergraduate Teaching Quality and Education Teaching Reform Research Project“Research on the Reform of the Curriculum System of Software Engineering Integrating Artificial Intelligence Under the Background of New Engineering”(010702)。
文摘With the rapid development of artificial intelligence technology,deep learning,as one of its core technologies,occupies an important position in the cultivation of applied talents.Based on the concept of integration of industry and education,this paper proposes a systematic teaching reform plan to address the issues of disconnection between theory and practice,single teaching methods,and insufficient practical resources in the deep learning courses for professional master’s students at our university.Through deep cooperation with Huawei Cloud Technologies Co.,Ltd.,we introduce cutting-edge theoretical content(such as GoogleNet,ResNet,Transformer,BERT,etc.),update practical cases(covering computer vision,natural language processing,and smart manufacturing),and adopt a case-led comprehensive teaching method combined with the online and offline hybrid practical platform ModelArts to promote the close integration of theory and practice.Simultaneously,a diversified evaluation system with practice as the core is constructed to comprehensively assess students’practical abilities and project execution levels.The research in this paper provides a valuable reference for the innovation of teaching modes and the cultivation of practical abilities in deep learning courses in higher education institutions.
基金supported by the Natural Science Foundation of Shanxi Province(202203021221155)the Foundation of National Key Laboratory of High Efficiency and Low Carbon Utilization of Coal(J23-24-902)。
文摘With ongoing global warming and increasing energy demands,the CH_(4)-CO_(2)reforming reaction(dry reforming of methane,DRM)has garnered significant attention as a promising carbon capture and utilization technology.Nickel-based catalysts are renowned for their outstanding activity and selectivity in this process.The impact of metal-support interaction(MSI),on Ni-based catalyst performance has been extensively researched and debated recently.This paper reviews the recent research progress of MSI on Ni-based catalysts and their characterization and modulation strategies in catalytic reactions.From the perspective of MSI,the effects of different carriers(metal oxides,carbon materials and molecular sieves,etc.)are introduced on the dispersion and surface structure of Ni active metal particles,and the effect of MSI on the activity and stability of DRM reactions on Ni-based catalysts is discussed in detail.Future research should focus on better understanding and controlling MSI to improve the performance and durability of nickel-based catalysts in CH_(4)-CO_(2)reforming,advancing cleaner energy technologies.
基金supported by the Sapienza Universitàdi Roma Sapienza Awards no.6H15XNFS.
文摘Purpose:We aimed to measure the variation in researchers’knowledge and attitudes towards bibliometric indicators.The focus is on mapping the heterogeneity of this metric-wiseness within and between disciplines.Design/methodology/approach:An exploratory survey is administered to researchers at the Sapienza University of Rome,one of Europe’s oldest and largest generalist universities.To measure metric-wiseness,we use attitude statements that are evaluated by a 5-point Likert scale.Moreover,we analyze documents of recent initiatives on assessment reform to shed light on how researchers’heterogeneous attitudes regarding and knowledge of bibliometric indicators are taken into account.Findings:We found great heterogeneity in researchers’metric-wiseness across scientific disciplines.In addition,within each discipline,we observed both supporters and critics of bibliometric indicators.From the document analysis,we found no reference to individual heterogeneity concerning researchers’metric wiseness.Research limitations:We used a self-selected sample of researchers from one Italian university as an exploratory case.Further research is needed to check the generalizability of our findings.Practical implications:To gain sufficient support for research evaluation practices,it is key to consider researchers’diverse attitudes towards indicators.Originality/value:We contribute to the current debate on reforming research assessment by providing a novel empirical measurement of researchers’knowledge and attitudes towards bibliometric indicators and discussing the importance of the obtained results for improving current research evaluation systems.
基金The 2024 Guangdong University of Science and Technology Teaching,Science and Innovation Project(GKJXXZ2024028)。
文摘With the rapid development of artificial intelligence(AI)technology,the teaching mode in the field of education is undergoing profound changes.Especially the design and implementation of personalized learning paths have become an important direction of intelligent teaching reform.The traditional“one-size-fits-all”teaching model has gradually failed to meet the individualized learning needs of students.However,through the advantages of data analysis and real-time feedback,AI technology can provide tailor-made teaching content and learning paths based on students’learning progress,interests,and abilities.This study explores the innovation of the personalized learning path model based on AI technology,and analyzes the potential and challenges of this model in improving teaching effectiveness,promoting the all-round development of students,and optimizing the interaction between teachers and students.Through case analysis and empirical research,this paper summarizes the implementation methods of the AI-driven personalized learning path,the innovation of teaching models,and their application prospects in educational reform.Meanwhile,the research also discussed the ethical issues of AI technology in education,data privacy protection,and its impact on the teacher-student relationship,and proposed corresponding solutions.
