China has abundant resources of hot dry rocks.However,due to the fact that the evaluation methods for favorable areas are mainly qualitative,and the evaluation indicators and standards are inconsistent,which restrict ...China has abundant resources of hot dry rocks.However,due to the fact that the evaluation methods for favorable areas are mainly qualitative,and the evaluation indicators and standards are inconsistent,which restrict the evaluation efficiency and exploration process of dry hot rocks.This paper is based on the understanding of the geologic features and genesis mechanisms of hot dry rocks in China and abroad.By integrating the main controlling factors of hot dry rock formation,and using index grading and quantification,the fuzzy hierarchical comprehensive method is applied to establish an evaluation system and standards for favorable areas of hot dry rocks.The evaluation system is based on four indicators:heat source,thermal channel,thermal reservoir and cap rock.It includes 11 evaluation parameters,including time of magmatic/volcanic activity,depth of molten mass or magma chamber,distribution of discordogenic faults,burial depth of thermal reservoir,cap rock type and thickness,surface thermal anomaly,heat flow,geothermal gradient,Moho depth,Curie depth,Earthquake magnitude and focal depth.Each parameter is divided into 3 levels.Applying this evaluation system to assess hot dry rock in central Inner Mongolia revealed that Class I favorable zones cover approximately 494 km^(2),while Class II favorable zones span about 5.7×10^(4) km^(2).The Jirgalangtu Sag and Honghaershute Sag in the Erlian Basin,along with Reshuitang Town in Keshiketeng Banner,Reshui Town in Ningcheng County,and Reshuitang Town in Aohan Banner of Chifeng City,are identified as Class I favorable zones for hot dry rock resources.These areas are characterized by high-temperature subsurface molten bodies or magma chambers serving as high-quality heat sources,shallow thermal reservoir depths,and overlying thick sedimentary rock layers acting as caprock.The establishment and application of the evaluation system for favorable areas of hot dry rock are expected to provide new approaches and scientific basis for guiding the practice of selecting hot dry rock areas in China.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
BACKGROUND Despite the developments in the field of kidney transplantation,the already existing diagnostic techniques for patient monitoring are considered insufficient.Protein biomarkers that can be derived from mode...BACKGROUND Despite the developments in the field of kidney transplantation,the already existing diagnostic techniques for patient monitoring are considered insufficient.Protein biomarkers that can be derived from modern approaches of proteomic analysis of liquid biopsies(serum,urine)represent a promising innovation in the monitoring of kidney transplant recipients.AIM To investigate the diagnostic utility of protein biomarkers derived from proteomics approaches in renal allograft assessment.METHODS A systematic review was conducted in accordance with PRISMA guidelines,based on research results from the PubMed and Scopus databases.The primary focus was on evaluating the role of biomarkers in the non-invasive diagnosis of transplant-related com-plications.Eligibility criteria included protein biomarkers and urine and blood samples,while exclusion criteria were language other than English and the use of low resolution and sensitivity methods.The selected research articles,were categorized based on the biological sample,condition and methodology and the significantly and reproducibly differentiated proteins were manually selected and extracted.Functional and network analysis of the selected proteins was performed.RESULTS In 17 included studies,58 proteins were studied,with the cytokine CXCL10 being the most investigated.Biological pathways related to immune response and fibrosis have shown to be enriched.Applications of biomarkers for the assessment of renal damage as well as the prediction of short-term and long-term function of the graft were reported.Overall,all studies have shown satisfactory diagnostic accuracy of proteins alone or in combination with conventional methods,as far as renal graft assessment is concerned.CONCLUSION Our review suggests that protein biomarkers,evaluated in specific biological fluids,can make a significant contribution to the timely,valid and non-invasive assessment of kidney graft.展开更多
Based on the educational evaluation reform,this study explores the construction of an evidence-based value-added evaluation system based on data-driven,aiming to solve the limitations of traditional evaluation methods...Based on the educational evaluation reform,this study explores the construction of an evidence-based value-added evaluation system based on data-driven,aiming to solve the limitations of traditional evaluation methods.The research adopts the method of combining theoretical analysis and practical application,and designs the evidence-based value-added evaluation framework,which includes the core elements of a multi-source heterogeneous data acquisition and processing system,a value-added evaluation agent based on a large model,and an evaluation implementation and application mechanism.Through empirical research verification,the evaluation system has remarkable effects in improving learning participation,promoting ability development,and supporting teaching decision-making,and provides a theoretical reference and practical path for educational evaluation reform in the new era.The research shows that the evidence-based value-added evaluation system based on data-driven can reflect students’actual progress more fairly and objectively by accurately measuring the difference in starting point and development range of students,and provide strong support for the realization of high-quality education development.展开更多
Under the National Innovation-Driven Development Strategy,establishing a scientifically sound evaluation system for normal university students’innovation and entrepreneurship capabilities serves as a crucial foundati...Under the National Innovation-Driven Development Strategy,establishing a scientifically sound evaluation system for normal university students’innovation and entrepreneurship capabilities serves as a crucial foundation for optimizing innovation education models and enhancing teacher candidates’comprehensive competencies.Based on existing indicator frameworks,we designed a questionnaire and applied exploratory factor analysis(EFA)to screen indicators,reduce dimensionality,and analyze weighting.This process identified key metrics for evaluating pedagogical students’innovation capacities,ultimately constructing a targeted assessment system for normal university students.The study provides theoretical support for cultivating teacher trainees’innovative capabilities while contributing to the national innovation strategy implementation.展开更多
The evaluation of social practice outcomes is a critical component of the social practice mechanisms in colleges and universities,serving as a core index to assess the effectiveness of practice activities and the qual...The evaluation of social practice outcomes is a critical component of the social practice mechanisms in colleges and universities,serving as a core index to assess the effectiveness of practice activities and the quality of student training.This paper employs CiteSpace to analyze references,keyword co-occurrence maps,time zone maps,and time diagrams,identifying key research hotspots in social practice evaluation systems domestically and internationally.These hotspots include the construction of evaluation indicators,evaluation pathways,and methods.Additionally,this study compares and summarizes the evolution of social practice evaluation systems across regions.It highlights that foreign social practice evaluation systems are characterized by diverse interpretative paradigms,an emphasis on students’self-reflection during the evaluation process,and more robust theoretical foundations.These findings provide valuable insights for domestic colleges and universities seeking to build social practice evaluation systems with relevant content and effective results.展开更多
The working group on design and evaluation of intelligent system ergonomics,under SAC/TC 7,Ergonomics,was officially established in Qingdao city,Shandong province on June 18.The launching ceremony was jointly organize...The working group on design and evaluation of intelligent system ergonomics,under SAC/TC 7,Ergonomics,was officially established in Qingdao city,Shandong province on June 18.The launching ceremony was jointly organized by the Sub-institute of Fundamental Standardization of CNIS and China Standard Certification Co.,Ltd.It was attended by more than 60 experts and industry representatives in fields such as smart home technology,intelligent driving,wearable devices,medical health,and nuclear engineering.展开更多
Hybrid teaching has become an essential direction of the teaching reform and innovation of higher education,and puts forward new requirements for the evaluation system of teaching quality.The background of hybrid teac...Hybrid teaching has become an essential direction of the teaching reform and innovation of higher education,and puts forward new requirements for the evaluation system of teaching quality.The background of hybrid teaching,the CIPP model,and teaching quality evaluation system,and the necessity of constructing a hybrid teaching quality evaluation system are further discussed.This paper also discusses the evaluation focus of the CIPP model and its applicability in the hybrid teaching quality evaluation and believes that the CIPP model can reflect the concept innovation,target diversity,process advancement,and subject participation;the evaluation indicator system of hybrid teaching quality is designed based on the CIPP model,which provides a reference for the hybrid teaching quality evaluation and teaching reform.展开更多
Introduction: The WHO’s measles control strategy is based on epidemiological surveillance and vaccination. Little is currently known about the performance of the surveillance system, particularly in outlying areas. I...Introduction: The WHO’s measles control strategy is based on epidemiological surveillance and vaccination. Little is currently known about the performance of the surveillance system, particularly in outlying areas. It is in this context that the present study was carried out to evaluate the measles epidemiological surveillance system in the Kangaba health district. Method: This was a descriptive cross-sectional study with retrospective data collection for the period from 1 January to 31 December 2022 in the Kangaba health district with 18 epidemiological surveillance officers. Data were collected using an observation grid and documentary analysis. Results: We found a simplicity of 97%, a representativeness of 95% and a reactivity of 53%. Not all notified cases were sampled (64%). Of the 17 CSCom, 8 were positive. A total of 34 confirmed cases of measles were recorded, with one death. Conclusion: Overall, the system is functional and well-established in the health centres, but it remains important to ensure that suspected cases are investigated and that the time between sampling and the availability of laboratory results is respected.展开更多
This study explores the feasibility of constructing an intelligent educational evaluation system based on the CIPP model and artificial intelligence technology in the context of new engineering disciplines.By integrat...This study explores the feasibility of constructing an intelligent educational evaluation system based on the CIPP model and artificial intelligence technology in the context of new engineering disciplines.By integrating the CIPP model with AI technology,a novel intelligent educational evaluation system was designed.Through experimental validation and case studies,the system demonstrated significant effectiveness in improving teaching quality,facilitating personalized student development,and optimizing educational resource allocation.Additionally,the study predicts potential changes this system could bring to the education industry and proposes relevant policy recommendations.Although the current research has limitations,with technological advancements in the future,this system is expected to provide stronger support for innovations in engineering education models.展开更多
Objective:To systematically evaluate the impact of phase I cardiac rehabilitation exercise prescriptions on cardiac function levels in patients after coronary intervention.Methods:Seven Chinese and English databases,i...Objective:To systematically evaluate the impact of phase I cardiac rehabilitation exercise prescriptions on cardiac function levels in patients after coronary intervention.Methods:Seven Chinese and English databases,including Cochrane Library,PubMed,Web of Science,ESC(European Society of Cardiology),and CNKI,as well as professional association websites,were searched using computers,with manual searching as a complement.Relevant literature published from the establishment of the database to February 2025 was retrieved.Two researchers independently screened the literature,extracted data,and evaluated the quality of the literature.Meta-analysis was performed using RevMan 5.3 software.Results:A total of 8 articles were included,involving 843 patients.Meta-analysis results showed that compared with routine nursing,phase I cardiac rehabilitation exercise prescriptions helped increase the 6-minute walking distance in patients after coronary intervention[MD=0.84,95%CI(0.57,1.10),P<0.001],increase the level of left ventricular ejection fraction in patients after coronary intervention[MD=0.67,95%CI(0.33,1.00),P<0.001],and cardiac rehabilitation combined with respiratory rehabilitation exercise could improve the level of left ventricular ejection fraction in patients after coronary intervention[MD=0.58,95%CI(0.40,0.76),P<0.001].Conclusion:The implementation of phase I cardiac rehabilitation exercise prescriptions can help improve cardiac function levels in patients after coronary intervention.However,the standardization of outcome evaluation indicators needs to be improved,and the long-term effects of rehabilitation still require verification through a large number of high-quality studies.展开更多
With the continuous deepening of vocational education reform,core literacy,as an important concept of educational reform,has gradually been introduced into English teaching.The cultivation of core literacy requires st...With the continuous deepening of vocational education reform,core literacy,as an important concept of educational reform,has gradually been introduced into English teaching.The cultivation of core literacy requires students not only to master basic language knowledge but also to flexibly use cross-cultural communication skills,innovative thinking,and professional literacy to solve problems in actual work situations.In this context,constructing a vocational English evaluation system based on core literacy has become an urgent need to improve the quality of vocational English teaching and cultivate high-quality applied talents.Therefore,the following will focus on exploring the relevant content of the vocational English evaluation system in order to provide some help.展开更多
With the widespread application of Internet of Things(IoT)technology,the processing of massive realtime streaming data poses significant challenges to the computational and data-processing capabilities of systems.Alth...With the widespread application of Internet of Things(IoT)technology,the processing of massive realtime streaming data poses significant challenges to the computational and data-processing capabilities of systems.Although distributed streaming data processing frameworks such asApache Flink andApache Spark Streaming provide solutions,meeting stringent response time requirements while ensuring high throughput and resource utilization remains an urgent problem.To address this,the study proposes a formal modeling approach based on Performance Evaluation Process Algebra(PEPA),which abstracts the core components and interactions of cloud-based distributed streaming data processing systems.Additionally,a generic service flow generation algorithmis introduced,enabling the automatic extraction of service flows fromthe PEPAmodel and the computation of key performance metrics,including response time,throughput,and resource utilization.The novelty of this work lies in the integration of PEPA-based formal modeling with the service flow generation algorithm,bridging the gap between formal modeling and practical performance evaluation for IoT systems.Simulation experiments demonstrate that optimizing the execution efficiency of components can significantly improve system performance.For instance,increasing the task execution rate from 10 to 100 improves system performance by 9.53%,while further increasing it to 200 results in a 21.58%improvement.However,diminishing returns are observed when the execution rate reaches 500,with only a 0.42%gain.Similarly,increasing the number of TaskManagers from 10 to 20 improves response time by 18.49%,but the improvement slows to 6.06% when increasing from 20 to 50,highlighting the importance of co-optimizing component efficiency and resource management to achieve substantial performance gains.This study provides a systematic framework for analyzing and optimizing the performance of IoT systems for large-scale real-time streaming data processing.The proposed approach not only identifies performance bottlenecks but also offers insights into improving system efficiency under different configurations and workloads.展开更多
Numerous uncertainties in practical production and operation can seriously affect the drive performance of permanent magnet synchronous machines(PMSMs).Various robust control methods have been developed to mitigate or...Numerous uncertainties in practical production and operation can seriously affect the drive performance of permanent magnet synchronous machines(PMSMs).Various robust control methods have been developed to mitigate or eliminate the effects of these uncertainties.However,the robustness to uncertainties of electrical drive systems has not been clearly defined.No systemic procedures have been proposed to evaluate a control system's robustness(how robust it is).This paper proposes a systemic method for evaluating control systems'robustness to uncertainties.The concept and fundamental theory of robust control are illustrated by considering a simple uncertain feedback control system.The effects of uncertainties on the control performance and stability are analyzed and discussed.The concept of design for six-sigma(a robust design method)is employed to numerically evaluate the robustness levels of control systems.To show the effectiveness of the proposed robustness evaluation method,case studies are conducted for second-order systems,DC motor drive systems,and PMSM drive systems.Besides the conventional predictive control of PMSM drive,three different robust predictive control methods are evaluated in terms of two different parametric uncertainty ranges and three application requirements against parametric uncertainties.展开更多
Objective To establish a scientific,reliable,objective,and effective clinical comprehensive evaluation system for drugs centralized bidding procurement by government,and to conduct reliability and validity test and em...Objective To establish a scientific,reliable,objective,and effective clinical comprehensive evaluation system for drugs centralized bidding procurement by government,and to conduct reliability and validity test and empirical analysis of the evaluation index system through simulated measurement.Methods Literature research method was used to select comprehensive evaluation indicators for drugs centralized bidding procurement.Then,Dephi method was applied to screen the final evaluation indicators,and the weight of the indicators was determined using analytic hierarchy process.Results and Conclusion The final clinical efficacy evaluation index system for drugs centralized bidding procurement includes 5 primary indicators and 13 secondary indicators.The experts authority coefficient in this study is high,and their opinions relatively coincide.Through the empirical research,the reliability and structural validity of the indicator system is good.This indicator system enriches methods and tools for scientifically evaluating the clinical efficacy of drugs centralized bidding procurement.展开更多
This study investigates the application of smart building technology in museum architecture and proposes a corresponding evaluation system.It focuses on three main aspects:first,the integration of smart building techn...This study investigates the application of smart building technology in museum architecture and proposes a corresponding evaluation system.It focuses on three main aspects:first,the integration of smart building technologies in museum facilities,including power supply and distribution,security,and intelligent monitoring systems,which capable to enhance operational efficiency and user experience;second,the role of architectural design in exhibition layout,HVAC systems,and energy-saving measures to optimize energy use and environmental adaptability;and third,the use of information technologies like data management and virtual displays to improve museum management and service quality.The study aims to develop a scientific evaluation framework to assist decision-makers and architects in effectively assessing and selecting smart technologies for museum buildings.By optimizing design and operations,this approach seeks to enhance exhibition quality,resource utilization,and visitor satisfaction,thereby promoting the advancement of the museum industry.展开更多
With the deep integration of artificial intelligence(AI)and education,the reform of college English teaching evaluation has entered a new stage.Traditional college English evaluation systems are faced with problems su...With the deep integration of artificial intelligence(AI)and education,the reform of college English teaching evaluation has entered a new stage.Traditional college English evaluation systems are faced with problems such as over-reliance on summative assessment,a single evaluation dimension,and lagging feedback.This study explores the innovative path of multiple evaluation systems in college English teaching empowered by AI,aiming to construct a dynamic,comprehensive,and personalized evaluation model.Through literature review,case analysis,and empirical research,it is found that AI technologies such as natural language processing,machine learning,and big data analytics can effectively support the diversification of evaluation subjects(teachers,students,peers,AI systems),the enrichment of evaluation dimensions(knowledge mastery,language competence,learning processes,and innovative thinking),and the intelligence of evaluation feedback.However,challenges such as algorithmic bias,data privacy risks,and the weakening of teacher-student interaction still exist.Finally,this study proposes countermeasures,including optimizing AI algorithms,strengthening data security,and balancing AI and human roles,to provide theoretical and practical references for the reform of college English teaching evaluation.展开更多
This paper presents a comprehensive test and systematic evaluation analysis of cabin noise in the Robinson R44 RAVEN II helicopter.Initially,microphones were placed within the cabin to conduct systematic assessments o...This paper presents a comprehensive test and systematic evaluation analysis of cabin noise in the Robinson R44 RAVEN II helicopter.Initially,microphones were placed within the cabin to conduct systematic assessments of noise levels under various flight conditions,including takeoff,climbing,level flight,landing,hovering,etc.Subsequently,time–frequency analysis was conducted on the test data utilizing traditional A-weighted sound pressure levels,which was followed by quantitative comparisons across different flight conditions.Then,detailed evaluation and discussion were conducted,taking into account the subjective perceptions and communication challenges of cabin crew members.This assessment incorporated the use of aviation noise indicators,speech interference levels,and metrics related to sound quality.Finally,potential noise reduction measures and their effects were preliminarily discussed.The results indicate that helicopter cabin noise exhibited variations across different flight states or positions within the same state,ranging from 87.6 d B(A)to 92.6 dB(A).Discrepancies between A-weighted sound pressure level and psychoacoustic parameters were observed,particularly during hovering states,which indicate that there is a necessity for the combination of multiple evaluation indicators.Notably,damping measure can serve as a pivotal factor in mitigating cabin noise.展开更多
In the past few decades,ion engines have been widely used in deep-space propulsion and satellite station-keeping.The aim of extending the thruster lifetime is still one of the most important parts during the design st...In the past few decades,ion engines have been widely used in deep-space propulsion and satellite station-keeping.The aim of extending the thruster lifetime is still one of the most important parts during the design stage of ion engine.As one of the core components of ion engine,the grid assembly of ion optic systems may experience long-term ion sputtering in extreme electro-thermal environments,which will eventually lead to its structural and electron-backstreaming failures.In this paper,the current studies of the grid assembly erosion process are systematically analyzed from the aspects of sputtering damage process of grid materials,numerical simulations,and measurements of erosion characteristics of grid assembly.The advantages and disadvantages of various erosion prediction models are highlighted,and the key factors and processes affecting the prediction accuracy of grid assembly erosion patterns are analyzed.Three different types of experimental methods of grid assembly erosion patterns are compared.The analysis in this paper is of great importance for selecting the sputter-resistant grid materials,as well as establishing the erosion models and measurement methods to accurately determine the erosion rate and failure modes of grid assembly.Consequently,the working conditions and structure parameters of ion optic systems could be optimized based on erosion models to promote the ion engine lifetime.展开更多
Critical for metering and protection in electric railway traction power supply systems(TPSSs),the measurement performance of voltage transformers(VTs)must be timely and reliably monitored.This paper outlines a three-s...Critical for metering and protection in electric railway traction power supply systems(TPSSs),the measurement performance of voltage transformers(VTs)must be timely and reliably monitored.This paper outlines a three-step,RMS data only method for evaluating VTs in TPSSs.First,a kernel principal component analysis approach is used to diagnose the VT exhibiting significant measurement deviations over time,mitigating the influence of stochastic fluctuations in traction loads.Second,a back propagation neural network is employed to continuously estimate the measurement deviations of the targeted VT.Third,a trend analysis method is developed to assess the evolution of the measurement performance of VTs.Case studies conducted on field data from an operational TPSS demonstrate the effectiveness of the proposed method in detecting VTs with measurement deviations exceeding 1%relative to their original accuracy levels.Additionally,the method accurately tracks deviation trends,enabling the identification of potential early-stage faults in VTs and helping prevent significant economic losses in TPSS operations.展开更多
基金Supported by PetroChina Prospective and Basic Technological Project(2022DJ5503).
文摘China has abundant resources of hot dry rocks.However,due to the fact that the evaluation methods for favorable areas are mainly qualitative,and the evaluation indicators and standards are inconsistent,which restrict the evaluation efficiency and exploration process of dry hot rocks.This paper is based on the understanding of the geologic features and genesis mechanisms of hot dry rocks in China and abroad.By integrating the main controlling factors of hot dry rock formation,and using index grading and quantification,the fuzzy hierarchical comprehensive method is applied to establish an evaluation system and standards for favorable areas of hot dry rocks.The evaluation system is based on four indicators:heat source,thermal channel,thermal reservoir and cap rock.It includes 11 evaluation parameters,including time of magmatic/volcanic activity,depth of molten mass or magma chamber,distribution of discordogenic faults,burial depth of thermal reservoir,cap rock type and thickness,surface thermal anomaly,heat flow,geothermal gradient,Moho depth,Curie depth,Earthquake magnitude and focal depth.Each parameter is divided into 3 levels.Applying this evaluation system to assess hot dry rock in central Inner Mongolia revealed that Class I favorable zones cover approximately 494 km^(2),while Class II favorable zones span about 5.7×10^(4) km^(2).The Jirgalangtu Sag and Honghaershute Sag in the Erlian Basin,along with Reshuitang Town in Keshiketeng Banner,Reshui Town in Ningcheng County,and Reshuitang Town in Aohan Banner of Chifeng City,are identified as Class I favorable zones for hot dry rock resources.These areas are characterized by high-temperature subsurface molten bodies or magma chambers serving as high-quality heat sources,shallow thermal reservoir depths,and overlying thick sedimentary rock layers acting as caprock.The establishment and application of the evaluation system for favorable areas of hot dry rock are expected to provide new approaches and scientific basis for guiding the practice of selecting hot dry rock areas in China.
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BACKGROUND Despite the developments in the field of kidney transplantation,the already existing diagnostic techniques for patient monitoring are considered insufficient.Protein biomarkers that can be derived from modern approaches of proteomic analysis of liquid biopsies(serum,urine)represent a promising innovation in the monitoring of kidney transplant recipients.AIM To investigate the diagnostic utility of protein biomarkers derived from proteomics approaches in renal allograft assessment.METHODS A systematic review was conducted in accordance with PRISMA guidelines,based on research results from the PubMed and Scopus databases.The primary focus was on evaluating the role of biomarkers in the non-invasive diagnosis of transplant-related com-plications.Eligibility criteria included protein biomarkers and urine and blood samples,while exclusion criteria were language other than English and the use of low resolution and sensitivity methods.The selected research articles,were categorized based on the biological sample,condition and methodology and the significantly and reproducibly differentiated proteins were manually selected and extracted.Functional and network analysis of the selected proteins was performed.RESULTS In 17 included studies,58 proteins were studied,with the cytokine CXCL10 being the most investigated.Biological pathways related to immune response and fibrosis have shown to be enriched.Applications of biomarkers for the assessment of renal damage as well as the prediction of short-term and long-term function of the graft were reported.Overall,all studies have shown satisfactory diagnostic accuracy of proteins alone or in combination with conventional methods,as far as renal graft assessment is concerned.CONCLUSION Our review suggests that protein biomarkers,evaluated in specific biological fluids,can make a significant contribution to the timely,valid and non-invasive assessment of kidney graft.
基金This paper is the research result of“Research on Innovation of Evidence-Based Teaching Paradigm in Vocational Education under the Background of New Quality Productivity”(2024JXQ176)the Shandong Province Artificial Intelligence Education Research Project(SDDJ202501035),which explores the application of artificial intelligence big models in student value-added evaluation from an evidence-based perspective。
文摘Based on the educational evaluation reform,this study explores the construction of an evidence-based value-added evaluation system based on data-driven,aiming to solve the limitations of traditional evaluation methods.The research adopts the method of combining theoretical analysis and practical application,and designs the evidence-based value-added evaluation framework,which includes the core elements of a multi-source heterogeneous data acquisition and processing system,a value-added evaluation agent based on a large model,and an evaluation implementation and application mechanism.Through empirical research verification,the evaluation system has remarkable effects in improving learning participation,promoting ability development,and supporting teaching decision-making,and provides a theoretical reference and practical path for educational evaluation reform in the new era.The research shows that the evidence-based value-added evaluation system based on data-driven can reflect students’actual progress more fairly and objectively by accurately measuring the difference in starting point and development range of students,and provide strong support for the realization of high-quality education development.
基金Mid-term Results of the 2024 Langfang Normal University Special Teaching Reform Project on Innovation and Entrepreneurship Education Reform,“Research on the Evaluation System of Innovation and Entrepreneurship Ability for Normal University Students Based on Big Data Application-A Case Study of Langfang Normal University”(Project No.:CXJG2024-06)。
文摘Under the National Innovation-Driven Development Strategy,establishing a scientifically sound evaluation system for normal university students’innovation and entrepreneurship capabilities serves as a crucial foundation for optimizing innovation education models and enhancing teacher candidates’comprehensive competencies.Based on existing indicator frameworks,we designed a questionnaire and applied exploratory factor analysis(EFA)to screen indicators,reduce dimensionality,and analyze weighting.This process identified key metrics for evaluating pedagogical students’innovation capacities,ultimately constructing a targeted assessment system for normal university students.The study provides theoretical support for cultivating teacher trainees’innovative capabilities while contributing to the national innovation strategy implementation.
基金supported by the Zhejiang Provincial Department of Education’s General Scientific Research Project(Project No.2023-007)the Zhejiang Provincial Graduate Education Association(Project No.2023-007).
文摘The evaluation of social practice outcomes is a critical component of the social practice mechanisms in colleges and universities,serving as a core index to assess the effectiveness of practice activities and the quality of student training.This paper employs CiteSpace to analyze references,keyword co-occurrence maps,time zone maps,and time diagrams,identifying key research hotspots in social practice evaluation systems domestically and internationally.These hotspots include the construction of evaluation indicators,evaluation pathways,and methods.Additionally,this study compares and summarizes the evolution of social practice evaluation systems across regions.It highlights that foreign social practice evaluation systems are characterized by diverse interpretative paradigms,an emphasis on students’self-reflection during the evaluation process,and more robust theoretical foundations.These findings provide valuable insights for domestic colleges and universities seeking to build social practice evaluation systems with relevant content and effective results.
文摘The working group on design and evaluation of intelligent system ergonomics,under SAC/TC 7,Ergonomics,was officially established in Qingdao city,Shandong province on June 18.The launching ceremony was jointly organized by the Sub-institute of Fundamental Standardization of CNIS and China Standard Certification Co.,Ltd.It was attended by more than 60 experts and industry representatives in fields such as smart home technology,intelligent driving,wearable devices,medical health,and nuclear engineering.
基金The 2025 Beijing Postdoctoral Research Activity Funding Project“Exploring Hybrid Teaching Quality Evaluation System Based on the CIPP Model Construction in Higher Education”(2025114)。
文摘Hybrid teaching has become an essential direction of the teaching reform and innovation of higher education,and puts forward new requirements for the evaluation system of teaching quality.The background of hybrid teaching,the CIPP model,and teaching quality evaluation system,and the necessity of constructing a hybrid teaching quality evaluation system are further discussed.This paper also discusses the evaluation focus of the CIPP model and its applicability in the hybrid teaching quality evaluation and believes that the CIPP model can reflect the concept innovation,target diversity,process advancement,and subject participation;the evaluation indicator system of hybrid teaching quality is designed based on the CIPP model,which provides a reference for the hybrid teaching quality evaluation and teaching reform.
文摘Introduction: The WHO’s measles control strategy is based on epidemiological surveillance and vaccination. Little is currently known about the performance of the surveillance system, particularly in outlying areas. It is in this context that the present study was carried out to evaluate the measles epidemiological surveillance system in the Kangaba health district. Method: This was a descriptive cross-sectional study with retrospective data collection for the period from 1 January to 31 December 2022 in the Kangaba health district with 18 epidemiological surveillance officers. Data were collected using an observation grid and documentary analysis. Results: We found a simplicity of 97%, a representativeness of 95% and a reactivity of 53%. Not all notified cases were sampled (64%). Of the 17 CSCom, 8 were positive. A total of 34 confirmed cases of measles were recorded, with one death. Conclusion: Overall, the system is functional and well-established in the health centres, but it remains important to ensure that suspected cases are investigated and that the time between sampling and the availability of laboratory results is respected.
基金Liaoning Provincial Social Science Planning Fund“Research on the Educational Intelligent Evaluation System Based on the CIPP Model and Artificial Intelligence under the Background of New Engineering”(L22BTJ005)。
文摘This study explores the feasibility of constructing an intelligent educational evaluation system based on the CIPP model and artificial intelligence technology in the context of new engineering disciplines.By integrating the CIPP model with AI technology,a novel intelligent educational evaluation system was designed.Through experimental validation and case studies,the system demonstrated significant effectiveness in improving teaching quality,facilitating personalized student development,and optimizing educational resource allocation.Additionally,the study predicts potential changes this system could bring to the education industry and proposes relevant policy recommendations.Although the current research has limitations,with technological advancements in the future,this system is expected to provide stronger support for innovations in engineering education models.
基金Science Research Fund Project of Yunnan Provincial Department of Education(Project No.:2024J0832)Science Research Fund Project of Yunnan Provincial Department of Education(Project No.:2025Y1186)。
文摘Objective:To systematically evaluate the impact of phase I cardiac rehabilitation exercise prescriptions on cardiac function levels in patients after coronary intervention.Methods:Seven Chinese and English databases,including Cochrane Library,PubMed,Web of Science,ESC(European Society of Cardiology),and CNKI,as well as professional association websites,were searched using computers,with manual searching as a complement.Relevant literature published from the establishment of the database to February 2025 was retrieved.Two researchers independently screened the literature,extracted data,and evaluated the quality of the literature.Meta-analysis was performed using RevMan 5.3 software.Results:A total of 8 articles were included,involving 843 patients.Meta-analysis results showed that compared with routine nursing,phase I cardiac rehabilitation exercise prescriptions helped increase the 6-minute walking distance in patients after coronary intervention[MD=0.84,95%CI(0.57,1.10),P<0.001],increase the level of left ventricular ejection fraction in patients after coronary intervention[MD=0.67,95%CI(0.33,1.00),P<0.001],and cardiac rehabilitation combined with respiratory rehabilitation exercise could improve the level of left ventricular ejection fraction in patients after coronary intervention[MD=0.58,95%CI(0.40,0.76),P<0.001].Conclusion:The implementation of phase I cardiac rehabilitation exercise prescriptions can help improve cardiac function levels in patients after coronary intervention.However,the standardization of outcome evaluation indicators needs to be improved,and the long-term effects of rehabilitation still require verification through a large number of high-quality studies.
文摘With the continuous deepening of vocational education reform,core literacy,as an important concept of educational reform,has gradually been introduced into English teaching.The cultivation of core literacy requires students not only to master basic language knowledge but also to flexibly use cross-cultural communication skills,innovative thinking,and professional literacy to solve problems in actual work situations.In this context,constructing a vocational English evaluation system based on core literacy has become an urgent need to improve the quality of vocational English teaching and cultivate high-quality applied talents.Therefore,the following will focus on exploring the relevant content of the vocational English evaluation system in order to provide some help.
基金funded by the Joint Project of Industry-University-Research of Jiangsu Province(Grant:BY20231146).
文摘With the widespread application of Internet of Things(IoT)technology,the processing of massive realtime streaming data poses significant challenges to the computational and data-processing capabilities of systems.Although distributed streaming data processing frameworks such asApache Flink andApache Spark Streaming provide solutions,meeting stringent response time requirements while ensuring high throughput and resource utilization remains an urgent problem.To address this,the study proposes a formal modeling approach based on Performance Evaluation Process Algebra(PEPA),which abstracts the core components and interactions of cloud-based distributed streaming data processing systems.Additionally,a generic service flow generation algorithmis introduced,enabling the automatic extraction of service flows fromthe PEPAmodel and the computation of key performance metrics,including response time,throughput,and resource utilization.The novelty of this work lies in the integration of PEPA-based formal modeling with the service flow generation algorithm,bridging the gap between formal modeling and practical performance evaluation for IoT systems.Simulation experiments demonstrate that optimizing the execution efficiency of components can significantly improve system performance.For instance,increasing the task execution rate from 10 to 100 improves system performance by 9.53%,while further increasing it to 200 results in a 21.58%improvement.However,diminishing returns are observed when the execution rate reaches 500,with only a 0.42%gain.Similarly,increasing the number of TaskManagers from 10 to 20 improves response time by 18.49%,but the improvement slows to 6.06% when increasing from 20 to 50,highlighting the importance of co-optimizing component efficiency and resource management to achieve substantial performance gains.This study provides a systematic framework for analyzing and optimizing the performance of IoT systems for large-scale real-time streaming data processing.The proposed approach not only identifies performance bottlenecks but also offers insights into improving system efficiency under different configurations and workloads.
文摘Numerous uncertainties in practical production and operation can seriously affect the drive performance of permanent magnet synchronous machines(PMSMs).Various robust control methods have been developed to mitigate or eliminate the effects of these uncertainties.However,the robustness to uncertainties of electrical drive systems has not been clearly defined.No systemic procedures have been proposed to evaluate a control system's robustness(how robust it is).This paper proposes a systemic method for evaluating control systems'robustness to uncertainties.The concept and fundamental theory of robust control are illustrated by considering a simple uncertain feedback control system.The effects of uncertainties on the control performance and stability are analyzed and discussed.The concept of design for six-sigma(a robust design method)is employed to numerically evaluate the robustness levels of control systems.To show the effectiveness of the proposed robustness evaluation method,case studies are conducted for second-order systems,DC motor drive systems,and PMSM drive systems.Besides the conventional predictive control of PMSM drive,three different robust predictive control methods are evaluated in terms of two different parametric uncertainty ranges and three application requirements against parametric uncertainties.
文摘Objective To establish a scientific,reliable,objective,and effective clinical comprehensive evaluation system for drugs centralized bidding procurement by government,and to conduct reliability and validity test and empirical analysis of the evaluation index system through simulated measurement.Methods Literature research method was used to select comprehensive evaluation indicators for drugs centralized bidding procurement.Then,Dephi method was applied to screen the final evaluation indicators,and the weight of the indicators was determined using analytic hierarchy process.Results and Conclusion The final clinical efficacy evaluation index system for drugs centralized bidding procurement includes 5 primary indicators and 13 secondary indicators.The experts authority coefficient in this study is high,and their opinions relatively coincide.Through the empirical research,the reliability and structural validity of the indicator system is good.This indicator system enriches methods and tools for scientifically evaluating the clinical efficacy of drugs centralized bidding procurement.
基金Jiangxi Province Intelligent Building Engineering Research Center Open Fund Project(Project No.:EZ202311417).
文摘This study investigates the application of smart building technology in museum architecture and proposes a corresponding evaluation system.It focuses on three main aspects:first,the integration of smart building technologies in museum facilities,including power supply and distribution,security,and intelligent monitoring systems,which capable to enhance operational efficiency and user experience;second,the role of architectural design in exhibition layout,HVAC systems,and energy-saving measures to optimize energy use and environmental adaptability;and third,the use of information technologies like data management and virtual displays to improve museum management and service quality.The study aims to develop a scientific evaluation framework to assist decision-makers and architects in effectively assessing and selecting smart technologies for museum buildings.By optimizing design and operations,this approach seeks to enhance exhibition quality,resource utilization,and visitor satisfaction,thereby promoting the advancement of the museum industry.
基金The 2025 Jilin Provincial Institute of Higher Education Project“Research on Innovation of AI-Enabled Multiple Evaluation System in College English Teaching”(Project No.:JGJX25D1033)。
文摘With the deep integration of artificial intelligence(AI)and education,the reform of college English teaching evaluation has entered a new stage.Traditional college English evaluation systems are faced with problems such as over-reliance on summative assessment,a single evaluation dimension,and lagging feedback.This study explores the innovative path of multiple evaluation systems in college English teaching empowered by AI,aiming to construct a dynamic,comprehensive,and personalized evaluation model.Through literature review,case analysis,and empirical research,it is found that AI technologies such as natural language processing,machine learning,and big data analytics can effectively support the diversification of evaluation subjects(teachers,students,peers,AI systems),the enrichment of evaluation dimensions(knowledge mastery,language competence,learning processes,and innovative thinking),and the intelligence of evaluation feedback.However,challenges such as algorithmic bias,data privacy risks,and the weakening of teacher-student interaction still exist.Finally,this study proposes countermeasures,including optimizing AI algorithms,strengthening data security,and balancing AI and human roles,to provide theoretical and practical references for the reform of college English teaching evaluation.
基金the Natural Science Foundation of Sichuan Province,China(Nos.2023NSFSC0902,2024ZYD0083)the Open Project of Key Laboratory of Aerodynamic Noise Control of China Aerodynamics Research and Development Center(No.ANCL20220202)+1 种基金the Open Project of Key Laboratory of Flight Techniques and Flight Safety,CAAC,China(No.FZ2022KF01)the Fundamental Research Funds for the Central Universities,China(No.24CAFUC01007)。
文摘This paper presents a comprehensive test and systematic evaluation analysis of cabin noise in the Robinson R44 RAVEN II helicopter.Initially,microphones were placed within the cabin to conduct systematic assessments of noise levels under various flight conditions,including takeoff,climbing,level flight,landing,hovering,etc.Subsequently,time–frequency analysis was conducted on the test data utilizing traditional A-weighted sound pressure levels,which was followed by quantitative comparisons across different flight conditions.Then,detailed evaluation and discussion were conducted,taking into account the subjective perceptions and communication challenges of cabin crew members.This assessment incorporated the use of aviation noise indicators,speech interference levels,and metrics related to sound quality.Finally,potential noise reduction measures and their effects were preliminarily discussed.The results indicate that helicopter cabin noise exhibited variations across different flight states or positions within the same state,ranging from 87.6 d B(A)to 92.6 dB(A).Discrepancies between A-weighted sound pressure level and psychoacoustic parameters were observed,particularly during hovering states,which indicate that there is a necessity for the combination of multiple evaluation indicators.Notably,damping measure can serve as a pivotal factor in mitigating cabin noise.
基金co-supported by the National Key R&D Program of China(No.2022YFB3403500)the National Natural Science Foundation of China(No.NSFC52202460)the China Postdoctoral Science Foundation(Nos.2021M690392,2021TQ0036,and 2023TQ0031)。
文摘In the past few decades,ion engines have been widely used in deep-space propulsion and satellite station-keeping.The aim of extending the thruster lifetime is still one of the most important parts during the design stage of ion engine.As one of the core components of ion engine,the grid assembly of ion optic systems may experience long-term ion sputtering in extreme electro-thermal environments,which will eventually lead to its structural and electron-backstreaming failures.In this paper,the current studies of the grid assembly erosion process are systematically analyzed from the aspects of sputtering damage process of grid materials,numerical simulations,and measurements of erosion characteristics of grid assembly.The advantages and disadvantages of various erosion prediction models are highlighted,and the key factors and processes affecting the prediction accuracy of grid assembly erosion patterns are analyzed.Three different types of experimental methods of grid assembly erosion patterns are compared.The analysis in this paper is of great importance for selecting the sputter-resistant grid materials,as well as establishing the erosion models and measurement methods to accurately determine the erosion rate and failure modes of grid assembly.Consequently,the working conditions and structure parameters of ion optic systems could be optimized based on erosion models to promote the ion engine lifetime.
基金supported by the National Natural Science Foundation of China(No.52107125)Applied Basic Research Project of Sichuan Province(No.2022NSFSC0250)Chengdu Guojia Electrical Engineering Co.,Ltd.(No.KYL202312-0043).
文摘Critical for metering and protection in electric railway traction power supply systems(TPSSs),the measurement performance of voltage transformers(VTs)must be timely and reliably monitored.This paper outlines a three-step,RMS data only method for evaluating VTs in TPSSs.First,a kernel principal component analysis approach is used to diagnose the VT exhibiting significant measurement deviations over time,mitigating the influence of stochastic fluctuations in traction loads.Second,a back propagation neural network is employed to continuously estimate the measurement deviations of the targeted VT.Third,a trend analysis method is developed to assess the evolution of the measurement performance of VTs.Case studies conducted on field data from an operational TPSS demonstrate the effectiveness of the proposed method in detecting VTs with measurement deviations exceeding 1%relative to their original accuracy levels.Additionally,the method accurately tracks deviation trends,enabling the identification of potential early-stage faults in VTs and helping prevent significant economic losses in TPSS operations.
