1.About CASEE The Chinese Academy of Science and Education Evaluation(CASEE),also known as the Chinese Academy of Evaluation Sciences(CAES),is a key evaluation and research institute established by Hangzhou Dianzi Uni...1.About CASEE The Chinese Academy of Science and Education Evaluation(CASEE),also known as the Chinese Academy of Evaluation Sciences(CAES),is a key evaluation and research institute established by Hangzhou Dianzi University in 2017.Prof.Junping Qiu,a well-known Chinese bibliometrican who has expertise in evaluation management and subsidized by the State Council of China,is the founder and the first president of CASEE.Under the leadership of Prof.Qiu,the CASEE attempts to achieve the following objectives.展开更多
Climate models are essential for understanding past,present,and future changes in atmospheric circulation,with circulation modes providing key sources of seasonal predictability and prediction uncertainties for both g...Climate models are essential for understanding past,present,and future changes in atmospheric circulation,with circulation modes providing key sources of seasonal predictability and prediction uncertainties for both global and regional climates.This study assesses the performance of models participating in phase 6 of the Coupled Model Intercomparison Project in simulating interannual variability modes of Northern Hemisphere 500-hPa geopotential height during winter and summer,distinguishing predictable(potentially predictable on seasonal or longer timescales)and unpredictable(intraseasonal and essentially unpredictable at long range)components,using reanalysis data and a variance decomposition method.Although most models effectively capture unpredictable modes in reanalysis,their ability to reproduce dominant predictable modes-specifically the Pacific-North American pattern,Arctic Oscillation,and Western Pacific Oscillation in winter,and the East Atlantic and North Atlantic Oscillations in summer-varies notably.An optimal ensemble is identified to distinguish(a)predictable-external modes,dominated by external forcing,and(b)predictable-internal modes,associated with slow internal variability,during the historical period(1950-2014)and the SSP5-8.5 scenario(2036-2100).Under increased radiative forcing,the leading winter/summer predictable-external mode exhibits a more uniform spatial distribution,remarkably larger trend and annual variance,and enhanced height-sea surface temperature(SST)covariance under SSP5-8.5 compared to historical conditions.The dominant winter/summer predictable-internal modes also exhibit increased variance and height-SST covariance under SSP5-8.5,along with localized changes in spatial configuration.Minimal changes are observed in spatial distribution or variance for dominant winter/summer unpredictable modes under SSP5-8.5.This study,from a predictive perspective,deepens our understanding of model uncertainties and projected changes in circulations.展开更多
BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an e...BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an evaluation index system for the mental health literacy of adolescent patients with mental disorders,providing a scientific,comprehensive,and reliable tool for the monitoring and intervention of mental health literacy of such patients.METHODS From December 2022 to June 2023,the evaluation index system for mental health literacy of adolescents with mental disorders was developed through literature reviews,semi-structured interviews,expert letter consultations,and the analytic hierarchy process.Based on this index system,a self-assessment questionnaire was compiled and administered to 305 adolescents with mental disorders to test the reliability and validity of the index system.RESULTS The final evaluation index system for mental health literacy of adolescents with mental disorders included 4 first-level indicators,10 second-level indicators,and 52 third-level indicators.The overall Cronbach’sαcoefficient of the index system was 0.957,with a partial reliability of 0.826 and a content validity index of 0.975.The cumulative variance contribution rate of 10 common factors was 66.491%.The correlation coefficients between each dimension and the total questionnaire ranged from 0.672 to 0.724,while the correlation coefficients in each dimension ranged from 0.389 to 0.705.CONCLUSION The evaluation index system for mental health literacy of adolescents with mental disorders,developed in this study,demonstrated notable reliability and validity,making it a valuable tool for evaluating mental health literacy in this population.展开更多
Although previous studies have demonstrated that transcranial focused ultrasound stimulation protects the ischemic brain,clear criteria for the stimulation time window and intensity are lacking.Electrical impedance to...Although previous studies have demonstrated that transcranial focused ultrasound stimulation protects the ischemic brain,clear criteria for the stimulation time window and intensity are lacking.Electrical impedance tomography enables real-time monitoring of changes in cerebral blood perfusion within the ischemic brain,but investigating the feasibility of using this method to assess post-stroke rehabilitation in vivo remains critical.In this study,ischemic stroke was induced in rats through middle cerebral artery occlusion surgery.Transcranial focused ultrasound stimulation was used to treat the rat model of ischemia,and electrical impedance tomography was used to measure impedance during both the acute stage of ischemia and the rehabilitation stage following the stimulation.Electrical impedance tomography results indicated that cerebral impedance increased after the onset of ischemia and decreased following transcranial focused ultrasound stimulation.Furthermore,the stimulation promoted motor function recovery,reduced cerebral infarction volume in the rat model of ischemic stroke,and induced the expression of brain-derived neurotrophic factor in the ischemic brain.Our results also revealed a significant correlation between the impedance of the ischemic brain post-intervention and improvements in behavioral scores and infarct volume.This study shows that daily administration of transcranial focused ultrasound stimulation for 20 minutes to the ischemic hemisphere 24 hours after cerebral ischemia enhanced motor recovery in a rat model of ischemia.Additionally,our findings indicate that electrical impedance tomography can serve as a valuable tool for quantitatively evaluating rehabilitation after ischemic stroke in vivo.These findings suggest the feasibility of using impedance data collected via electrical impedance tomography to clinically assess the effects of rehabilitatory interventions for patients with ischemic stroke.展开更多
Under the rapid impetus of artificial intelligence(AI)technology,human society is stepping into the age of intelligence at an unprecedented speed.A new generation of information technology such as AI is not only a new...Under the rapid impetus of artificial intelligence(AI)technology,human society is stepping into the age of intelligence at an unprecedented speed.A new generation of information technology such as AI is not only a new engine of economic development,but also a gas pedal of social development,which has had a profound impact on the field of education.In the face of the opportunities and challenges of the AI era,it is particularly urgent to build a scientific and reasonable education evaluation system.This paper combines the context of the times with the new technology of AI to discuss the opportunities,challenges,and implementation strategies of educational evaluation reform in the era of AI,with a view to providing references for the construction of the educational evaluation system and the development of high-quality education in the new era.展开更多
From July 14 to 16,2025,the 16th National Conference on Scientometrics and Science&Education Evaluation was successfully held in Lanzhou.The conference was hosted by Chinese Society for Science of Science and Scie...From July 14 to 16,2025,the 16th National Conference on Scientometrics and Science&Education Evaluation was successfully held in Lanzhou.The conference was hosted by Chinese Society for Science of Science and Science&Technology Policy,Chinese Academy of Science and Education Evaluation at Hangzhou Dianzi University,and China Research Center for Science Evaluation at Wuhan University.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
On the basis of research evaluation of Chinese universities,Golden Apple Ranking(GAR)was initiated by Research Center of Chinese Science Evaluation(RCCSE)at Wuhan University in 2003.The GAR consists of four major rank...On the basis of research evaluation of Chinese universities,Golden Apple Ranking(GAR)was initiated by Research Center of Chinese Science Evaluation(RCCSE)at Wuhan University in 2003.The GAR consists of four major rankings:Chinese University Ranking,Chinese Graduate School Ranking,World University Ranking and Scholarly Journal Ranking.The annual reports of all these four rankings are published bythe Science Press,which have been recognized by the academia and China's government.展开更多
In order to identify the nutrient level and environmental quality of paddy fields in Wanchang area,and to provide scientific basis and technical support for planting rice in Wanchang area, the soil geochemicalsurvey w...In order to identify the nutrient level and environmental quality of paddy fields in Wanchang area,and to provide scientific basis and technical support for planting rice in Wanchang area, the soil geochemicalsurvey was carried out, 30 samples were collected from paddy soil in Wanchang area, and 20 elements(indicators) were analyzed. The characterization of the elemental content of soils in the study area was carriedout, and the geochemical level for soil nutrients, the geochemical level for the soil environment, and thecomprehensive geochemical level of soil quality were evaluated. The results showed that the average valuesof K content and pH of the soil in the study area were smaller than the background values of Jilin Province,and the average values of 18 elements including N, P, Ca, S, Pb, Zn etc. were bigger than the backgroundvalues of Jilin Province. The results of the evaluation of soil single element nutrient in the study area showedthat the available state nutrient levels of Mn, Zn, Cu, and K increased compared with the total amounts ofnutrients level, with Cu increasing the most;the available state nutrient level of N, P, B, and Mo decreasedcompared with the total amounts of nutrients level, with Mo decreasing the most. The comprehensive levelof soil nutrients geochemistry in paddy fields was mainly Level III (medium), accounting for 53.33%, andthe low abundance level was caused by the lack of P element;the comprehensive level of soil environmentalgeochemistry was mainly Level I (clean), accounting for 96.67%, with only slight pollution caused byCd. The comprehensive geochemical level of soil quality was mainly Level II, accounting for 66.67%.Suggestions were put forward for the rational utilization of soil resources in paddy fields in the study area.展开更多
Background:Multiple sclerosis(MS)is a chronic disease of the central nervous system(CNS),exhibiting hallmarks of both inflammation and neurodegeneration and with limited treatment options.The intricate nature of MS pa...Background:Multiple sclerosis(MS)is a chronic disease of the central nervous system(CNS),exhibiting hallmarks of both inflammation and neurodegeneration and with limited treatment options.The intricate nature of MS pathophysiology and its variable progression pose severe challenges for the development of effective therapies.The experimental autoimmune encephalomyelitis(EAE)MS model,in its most common form,is an aggressive disease,which is not representative of the MS course and offers a limited time window for drug evaluation.This study aimed to generate an attenuated EAE variant,which extends the clinical testing window while preserving the high incidence of the standard EAE model.Methods:Components of the EAE induction protocol were titrated to develop a milder disease profile.In a subsequent drug trial using the MS medication fingolimod hydrochloride(FTY,Gilenya),the new variant was validated under prophylactic and therapeutic treatment regimens.Results:The attenuated EAE variant retains the standard hallmarks of neuroinflammation and,crucially,significantly extends the time frame for clinical drug testing.Unlike the standard variant,where FTY efficacy could only be demonstrated by prophylactic treatment,the attenuated variant facilitated differentiation of drug effects by therapeutic treatment initiated early in the acute phase of disease.Conclusion:The new EAE variant is suitable for use in preclinical assessment of candidate therapeutics and the identification of targetable molecular mechanisms underpinning disease development and progression.This study illustrates the importance of optimizing and refining the experimental tool to enhance the translational success of the candidate therapeutics for MS.展开更多
Deep high-energy rock masses are susceptible to dynamic and static disasters in underground caverns when stress waves superimpose on them. Scientifically evaluating the stability of surrounding rock mass under such co...Deep high-energy rock masses are susceptible to dynamic and static disasters in underground caverns when stress waves superimpose on them. Scientifically evaluating the stability of surrounding rock mass under such conditions is fundamental for predicting and preventing related hazards. This study combines laboratory dynamic disturbance tests with numerical simulations to analyze changes in the three-dimensional stress state of surrounding rock caused by stress waves. It was found that stress waves not only alter the magnitude of unit stresses but also cause rotation of the principal stress axes. Based on the failure approach index(FAI), a new dynamic response evaluation index for brittle surrounding rock—the Energy Hazard Index(FAI_(E)) is proposed from an energy perspective. This index can derive functional expressions based on different strength criteria, offering good extensibility. Using the Mohr-Coulomb strength criterion as an example, the specific functional expression of FAI_(E) is provided. Comparison with experimental results confirms that the evaluation outcomes align with the dynamic response characteristics of surrounding rock mass, simultaneously considering both tensile and shear failure modes. Parameter sensitivity tests demonstrate the applicability of the index under complex conditions. Furthermore, the relationship between FAIE and commonly used dynamic disturbance evaluation parameters—such as Peak Particle Velocity(PPV)—has been examined, demonstrating that FAIE provides a more accurate and direct assessment of stability. Finally, a rapid engineering application method for FAIE is presented. The research findings hold significant importance for future stability evaluation and support design of surrounding rock in deep underground engineering projects.展开更多
In the context of advancing towards dual carbon goals,numerous factories are actively engaging in energy efficiency upgrades and transformations.To accurately pinpoint energy efficiency bottlenecks within factories an...In the context of advancing towards dual carbon goals,numerous factories are actively engaging in energy efficiency upgrades and transformations.To accurately pinpoint energy efficiency bottlenecks within factories and prioritize renovation sequences,it is crucial to conduct comprehensive evaluations of the energy performance across various workshops.Therefore,this paper proposes an evaluation model for workshop energy efficiency based on the drive-state-response(DSR)framework combined with the fuzzy BORDA method.Firstly,an in-depth analysis of the relationships between different energy efficiency indicators was conducted.Based on the DSR model,evaluation criteria were selected from three dimensions-drive factors,state characteristics,and response measures-to establish a robust energy efficiency indicator system.Secondly,three distinct assessment techniques were selected:Grey Relational Analysis(GRA),Entropy Weight Method(EWM),and Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)forming a diversified set of evaluation methods.Subsequently,by introducing the fuzzy BORDA method,a comprehensive energy efficiency evaluation model was developed,aimed at quantitatively ranking the energy performance status of each workshop.Using a real-world factory as a case study,applying our proposed evaluationmodel yielded detailed scores and rankings for each workshop.Furthermore,post hoc testing was performed using the Spearman correlation coefficient,revealing a statistic value of 10.209,which validates the effectiveness and reliability of the proposed evaluation model.This model not only assists in identifying underperforming workshops within the factory but also provides solid data support and a decision-making basis for future energy efficiency optimization strategies.展开更多
Algorithms are the primary component of Artificial Intelligence(AI).The algorithm is the process in AI that imitates the human mind to solve problems.Currently evaluating the performance of AI is achieved by evaluatin...Algorithms are the primary component of Artificial Intelligence(AI).The algorithm is the process in AI that imitates the human mind to solve problems.Currently evaluating the performance of AI is achieved by evaluating AI algorithms by metric scores on data sets.However the evaluation of algorithms in AI is challenging because the evaluation of the same type of algorithm has many data sets and evaluation metrics.Different algorithms may have individual strengths and weaknesses in evaluation metric scores on separate data sets,lacking the credibility and validity of the evaluation.Moreover,evaluation of algorithms requires repeated experiments on different data sets,reducing the attention of researchers to the research of the algorithms itself.Crucially,this approach to evaluating comparative metric scores does not take into account the algorithm’s ability to solve problems.And the classical algorithm evaluation of time and space complexity is not suitable for evaluating AI algorithms.Because classical algorithms input is infinite numbers,whereas AI algorithms input is a data set,which is limited and multifarious.According to the AI algorithm evaluation without response to the problem solving capability,this paper summarizes the features of AI algorithm evaluation and proposes an AI evaluation method that incorporates the problem-solving capabilities of algorithms.展开更多
BACKGROUND Previous studies have reported the high predictive accuracy of 4C Mortality Score derived at hospital admission in coronavirus disease 2019(COVID-19)patients.Very few studies have assessed it at intensive c...BACKGROUND Previous studies have reported the high predictive accuracy of 4C Mortality Score derived at hospital admission in coronavirus disease 2019(COVID-19)patients.Very few studies have assessed it at intensive care unit(ICU)admission and compared it with the Acute Physiology and Chronic Health Evaluation(APACHE)II score.There are no studies comparing its accuracy with APACHE III score.AIM To describe the characteristics and outcomes of patients admitted to ICU with COVID-19 infection and to compare the accuracy of 4C score and APACHE score in predicting mortality in these patients.METHODS We conducted this retrospective cohort study using an electronic database in a tertiary ICU in Sydney.We included all adult patients(age>16 years)admitted to ICU with COVID-19 infection over a 5-month period(July 1,2021 to November 30,2021).We collected the data on demographics,clinical characteristics,interventions and outcomes for all patients.We calculated the 4C Mortality Score for each patient using eight variables as described previously.We compared the predictive accuracy of 4C Mortality Score at hospital and ICU admission and APACHE II and III scores by area under the receiver operating characteristic curve(AUROC).We determined the optimal cut-off value for each of these scores using the‘nearest’method and its 95%confidence interval by bootstrapping.RESULTS A total of 140 patients(62%males,mean age 56±17 years,mean APACHE II score 13±57)were included in the study.Nineteen(13.6%)of 140 patients died in the hospital.Compared to survivors,the non-survivors were older,males,had more comorbidities,higher rate of mechanical ventilation and vasopressor use.The AUROC for the 4C Mortality Score at hospital and ICU admission and APACHE II and II score was 0.75,0.80.0.75 and 0.79 respectively.The optimal cut-off value for these four scores was 9,10,14 and 56 respectively.The cut-point for all the scores had higher sensitivity than specificity.CONCLUSION The 4C score at ICU admission had a higher accuracy in predicting mortality than the 4C score at hospital admission.The predictive accuracy was similar to that for APACHE III score.The 4C score at ICU admission needs to be validated in future studies.展开更多
According to basic connotation and design principles of ecocity, a comparatively integrated index system is constructed in the paper. And at the same time using hierarchy grey comprehensive evaluation method, a hierar...According to basic connotation and design principles of ecocity, a comparatively integrated index system is constructed in the paper. And at the same time using hierarchy grey comprehensive evaluation method, a hierarchy grey comprehensive evaluation model of ecocity is established, then on the basis of the model, a comprehensive evaluation support system is developed, and the theoretical guidance supplied for construction of ecocity is provided.展开更多
1.About CASEE The Chinese Academy of Science and Education Evaluation(CASEE),also known as the Chinese Academy of Evaluation Sciences(CAES),is a key evaluation and research institute established by Hangzhou Dianzi Uni...1.About CASEE The Chinese Academy of Science and Education Evaluation(CASEE),also known as the Chinese Academy of Evaluation Sciences(CAES),is a key evaluation and research institute established by Hangzhou Dianzi University in 2017.Prof.展开更多
Study on the evaluation system for multi-source image fusion is an important and necessary part of image fusion. Qualitative evaluation indexes and quantitative evaluation indexes were studied. A series of new concept...Study on the evaluation system for multi-source image fusion is an important and necessary part of image fusion. Qualitative evaluation indexes and quantitative evaluation indexes were studied. A series of new concepts, such as independent single evaluation index, union single evaluation index, synthetic evaluation index were proposed. Based on these concepts, synthetic evaluation system for digital image fusion was formed. The experiments with the wavelet fusion method, which was applied to fuse the multi-spectral image and panchromatic remote sensing image, the IR image and visible image, the CT and MRI image, and the multi-focus images show that it is an objective, uniform and effective quantitative method for image fusion evaluation.展开更多
The ability to evaluate teaching materials effectively is a very important professional activity for all EFL teachers,CFL teachers as well.It is essential to fully understand a book's content and style,as well as ...The ability to evaluate teaching materials effectively is a very important professional activity for all EFL teachers,CFL teachers as well.It is essential to fully understand a book's content and style,as well as its strengths and weaknesses,so that the book can be adapted to suit factors such as course aims,student needs and teacher beliefs.This paper deals with the evaluation of a TCFT(Teaching Chinese as a Foreign Language) textbook,New Practical Chinese Reader(NPCR) based on McDonough and Shaw Model and Evaluation Criteria for NPCR.展开更多
Vector winds play a crucial role in weather and climate,as well as the effective utilization of wind energy resources.However,limited research has been conducted on treating the wind field as a vector field in the eva...Vector winds play a crucial role in weather and climate,as well as the effective utilization of wind energy resources.However,limited research has been conducted on treating the wind field as a vector field in the evaluation of numerical weather prediction models.In this study,the authors treat vector winds as a whole by employing a vector field evaluation method,and evaluate the mesoscale model of the China Meteorological Administration(CMA-MESO)and ECMWF forecast,with reference to ERA5 reanalysis,in terms of multiple aspects of vector winds over eastern China in 2022.The results show that the ECMWF forecast is superior to CMA-MESO in predicting the spatial distribution and intensity of 10-m vector winds.Both models overestimate the wind speed in East China,and CMA-MESO overestimates the wind speed to a greater extent.The forecasting skill of the vector wind field in both models decreases with increasing lead time.The forecasting skill of CMA-MESO fluctuates more and decreases faster than that of the ECMWF forecast.There is a significant negative correlation between the model vector wind forecasting skill and terrain height.This study provides a scientific evaluation of the local application of vector wind forecasts of the CMA-MESO model and ECMWF forecast.展开更多
BACKGROUND Coronavirus disease 2019(COVID-19)disrupted healthcare and led to increased telehealth use.We explored the impact of COVID-19 on liver transplant evaluation(LTE).AIM To understand the impact of telehealth o...BACKGROUND Coronavirus disease 2019(COVID-19)disrupted healthcare and led to increased telehealth use.We explored the impact of COVID-19 on liver transplant evaluation(LTE).AIM To understand the impact of telehealth on LTE during COVID-19 and to identify disparities in outcomes disaggregated by sociodemographic factors.METHODS This was a retrospective study of patients who initiated LTE at our center from 3/16/20-3/16/21(“COVID-19 era”)and the year prior(3/16/19-3/15/20,“pre-COVID-19 era”).We compared LTE duration times between eras and explored the effects of telehealth and inpatient evaluations on LTE duration,listing,and pretransplant mortality.RESULTS One hundred and seventy-eight patients were included in the pre-COVID-19 era cohort and one hundred and ninety-nine in the COVID-19 era cohort.Twentynine percent(58/199)of COVID-19 era initial LTE were telehealth,compared to 0%(0/178)pre-COVID-19.There were more inpatient evaluations during COVID-19 era(40%vs 28%,P<0.01).Among outpatient encounters,telehealth use for initial LTE during COVID-19 era did not impact likelihood of listing,pretransplant mortality,or time to LTE and listing.Median times to LTE and listing during COVID-19 were shorter than pre-COVID-19,driven by increased inpatient evaluations.Sociodemographic factors were not predictive of telehealth.CONCLUSION COVID-19 demonstrates a shift to telehealth and inpatient LTE.Telehealth does not impact LTE or listing duration,likelihood of listing,or mortality,suggesting telehealth may facilitate LTE without negative outcomes.展开更多
文摘1.About CASEE The Chinese Academy of Science and Education Evaluation(CASEE),also known as the Chinese Academy of Evaluation Sciences(CAES),is a key evaluation and research institute established by Hangzhou Dianzi University in 2017.Prof.Junping Qiu,a well-known Chinese bibliometrican who has expertise in evaluation management and subsidized by the State Council of China,is the founder and the first president of CASEE.Under the leadership of Prof.Qiu,the CASEE attempts to achieve the following objectives.
基金supported by the National Natural Science Foundation of China(Grant Nos.U2342210 and 42275043)the National Institute of Natural Hazards,Ministry of Emergency Management of China(Grant Nos.J2223806,ZDJ2024-25 and ZDJ2025-34)。
文摘Climate models are essential for understanding past,present,and future changes in atmospheric circulation,with circulation modes providing key sources of seasonal predictability and prediction uncertainties for both global and regional climates.This study assesses the performance of models participating in phase 6 of the Coupled Model Intercomparison Project in simulating interannual variability modes of Northern Hemisphere 500-hPa geopotential height during winter and summer,distinguishing predictable(potentially predictable on seasonal or longer timescales)and unpredictable(intraseasonal and essentially unpredictable at long range)components,using reanalysis data and a variance decomposition method.Although most models effectively capture unpredictable modes in reanalysis,their ability to reproduce dominant predictable modes-specifically the Pacific-North American pattern,Arctic Oscillation,and Western Pacific Oscillation in winter,and the East Atlantic and North Atlantic Oscillations in summer-varies notably.An optimal ensemble is identified to distinguish(a)predictable-external modes,dominated by external forcing,and(b)predictable-internal modes,associated with slow internal variability,during the historical period(1950-2014)and the SSP5-8.5 scenario(2036-2100).Under increased radiative forcing,the leading winter/summer predictable-external mode exhibits a more uniform spatial distribution,remarkably larger trend and annual variance,and enhanced height-sea surface temperature(SST)covariance under SSP5-8.5 compared to historical conditions.The dominant winter/summer predictable-internal modes also exhibit increased variance and height-SST covariance under SSP5-8.5,along with localized changes in spatial configuration.Minimal changes are observed in spatial distribution or variance for dominant winter/summer unpredictable modes under SSP5-8.5.This study,from a predictive perspective,deepens our understanding of model uncertainties and projected changes in circulations.
基金Supported by Inter Disciplinary Direction Cultivation Project of Hunan University of Chinese Medicine,No.2025JC01032025 Hunan Province Science and Technology Innovation Plan Project,No.2025RC9012+2 种基金2022"Unveiling and Leading"Project of Discipline Construction at Hunan University of Chinese Medicine,No.22JBZ044Changsha Municipal Natural Science Foundation,No.kq2402174Hunan Provincial Science Popularization Fund Project,No.2025ZK4223.
文摘BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an evaluation index system for the mental health literacy of adolescent patients with mental disorders,providing a scientific,comprehensive,and reliable tool for the monitoring and intervention of mental health literacy of such patients.METHODS From December 2022 to June 2023,the evaluation index system for mental health literacy of adolescents with mental disorders was developed through literature reviews,semi-structured interviews,expert letter consultations,and the analytic hierarchy process.Based on this index system,a self-assessment questionnaire was compiled and administered to 305 adolescents with mental disorders to test the reliability and validity of the index system.RESULTS The final evaluation index system for mental health literacy of adolescents with mental disorders included 4 first-level indicators,10 second-level indicators,and 52 third-level indicators.The overall Cronbach’sαcoefficient of the index system was 0.957,with a partial reliability of 0.826 and a content validity index of 0.975.The cumulative variance contribution rate of 10 common factors was 66.491%.The correlation coefficients between each dimension and the total questionnaire ranged from 0.672 to 0.724,while the correlation coefficients in each dimension ranged from 0.389 to 0.705.CONCLUSION The evaluation index system for mental health literacy of adolescents with mental disorders,developed in this study,demonstrated notable reliability and validity,making it a valuable tool for evaluating mental health literacy in this population.
基金supported by the Fundamental Research Funds for the Central Universities,Nos.G2021KY05107,G2021KY05101the National Natural Science Foundation of China,Nos.32071316,32211530049+1 种基金the Natural Science Foundation of Shaanxi Province,No.2022-JM482the Education and Teaching Reform Funds for the Central Universities,No.23GZ230102(all to LL and HH).
文摘Although previous studies have demonstrated that transcranial focused ultrasound stimulation protects the ischemic brain,clear criteria for the stimulation time window and intensity are lacking.Electrical impedance tomography enables real-time monitoring of changes in cerebral blood perfusion within the ischemic brain,but investigating the feasibility of using this method to assess post-stroke rehabilitation in vivo remains critical.In this study,ischemic stroke was induced in rats through middle cerebral artery occlusion surgery.Transcranial focused ultrasound stimulation was used to treat the rat model of ischemia,and electrical impedance tomography was used to measure impedance during both the acute stage of ischemia and the rehabilitation stage following the stimulation.Electrical impedance tomography results indicated that cerebral impedance increased after the onset of ischemia and decreased following transcranial focused ultrasound stimulation.Furthermore,the stimulation promoted motor function recovery,reduced cerebral infarction volume in the rat model of ischemic stroke,and induced the expression of brain-derived neurotrophic factor in the ischemic brain.Our results also revealed a significant correlation between the impedance of the ischemic brain post-intervention and improvements in behavioral scores and infarct volume.This study shows that daily administration of transcranial focused ultrasound stimulation for 20 minutes to the ischemic hemisphere 24 hours after cerebral ischemia enhanced motor recovery in a rat model of ischemia.Additionally,our findings indicate that electrical impedance tomography can serve as a valuable tool for quantitatively evaluating rehabilitation after ischemic stroke in vivo.These findings suggest the feasibility of using impedance data collected via electrical impedance tomography to clinically assess the effects of rehabilitatory interventions for patients with ischemic stroke.
文摘Under the rapid impetus of artificial intelligence(AI)technology,human society is stepping into the age of intelligence at an unprecedented speed.A new generation of information technology such as AI is not only a new engine of economic development,but also a gas pedal of social development,which has had a profound impact on the field of education.In the face of the opportunities and challenges of the AI era,it is particularly urgent to build a scientific and reasonable education evaluation system.This paper combines the context of the times with the new technology of AI to discuss the opportunities,challenges,and implementation strategies of educational evaluation reform in the era of AI,with a view to providing references for the construction of the educational evaluation system and the development of high-quality education in the new era.
文摘From July 14 to 16,2025,the 16th National Conference on Scientometrics and Science&Education Evaluation was successfully held in Lanzhou.The conference was hosted by Chinese Society for Science of Science and Science&Technology Policy,Chinese Academy of Science and Education Evaluation at Hangzhou Dianzi University,and China Research Center for Science Evaluation at Wuhan University.
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.
文摘On the basis of research evaluation of Chinese universities,Golden Apple Ranking(GAR)was initiated by Research Center of Chinese Science Evaluation(RCCSE)at Wuhan University in 2003.The GAR consists of four major rankings:Chinese University Ranking,Chinese Graduate School Ranking,World University Ranking and Scholarly Journal Ranking.The annual reports of all these four rankings are published bythe Science Press,which have been recognized by the academia and China's government.
基金Supported by the Special Study on Mineral Resources Planning in Changchun City(No.JM-2020-11-13594)Jilin Agricultural Geological Survey Project(No.12120105111208)。
文摘In order to identify the nutrient level and environmental quality of paddy fields in Wanchang area,and to provide scientific basis and technical support for planting rice in Wanchang area, the soil geochemicalsurvey was carried out, 30 samples were collected from paddy soil in Wanchang area, and 20 elements(indicators) were analyzed. The characterization of the elemental content of soils in the study area was carriedout, and the geochemical level for soil nutrients, the geochemical level for the soil environment, and thecomprehensive geochemical level of soil quality were evaluated. The results showed that the average valuesof K content and pH of the soil in the study area were smaller than the background values of Jilin Province,and the average values of 18 elements including N, P, Ca, S, Pb, Zn etc. were bigger than the backgroundvalues of Jilin Province. The results of the evaluation of soil single element nutrient in the study area showedthat the available state nutrient levels of Mn, Zn, Cu, and K increased compared with the total amounts ofnutrients level, with Cu increasing the most;the available state nutrient level of N, P, B, and Mo decreasedcompared with the total amounts of nutrients level, with Mo decreasing the most. The comprehensive levelof soil nutrients geochemistry in paddy fields was mainly Level III (medium), accounting for 53.33%, andthe low abundance level was caused by the lack of P element;the comprehensive level of soil environmentalgeochemistry was mainly Level I (clean), accounting for 96.67%, with only slight pollution caused byCd. The comprehensive geochemical level of soil quality was mainly Level II, accounting for 66.67%.Suggestions were put forward for the rational utilization of soil resources in paddy fields in the study area.
基金Private DonationLa Trobe Research Focus AreasMultiple Sclerosis Australia,Grant/Award Number:20-032。
文摘Background:Multiple sclerosis(MS)is a chronic disease of the central nervous system(CNS),exhibiting hallmarks of both inflammation and neurodegeneration and with limited treatment options.The intricate nature of MS pathophysiology and its variable progression pose severe challenges for the development of effective therapies.The experimental autoimmune encephalomyelitis(EAE)MS model,in its most common form,is an aggressive disease,which is not representative of the MS course and offers a limited time window for drug evaluation.This study aimed to generate an attenuated EAE variant,which extends the clinical testing window while preserving the high incidence of the standard EAE model.Methods:Components of the EAE induction protocol were titrated to develop a milder disease profile.In a subsequent drug trial using the MS medication fingolimod hydrochloride(FTY,Gilenya),the new variant was validated under prophylactic and therapeutic treatment regimens.Results:The attenuated EAE variant retains the standard hallmarks of neuroinflammation and,crucially,significantly extends the time frame for clinical drug testing.Unlike the standard variant,where FTY efficacy could only be demonstrated by prophylactic treatment,the attenuated variant facilitated differentiation of drug effects by therapeutic treatment initiated early in the acute phase of disease.Conclusion:The new EAE variant is suitable for use in preclinical assessment of candidate therapeutics and the identification of targetable molecular mechanisms underpinning disease development and progression.This study illustrates the importance of optimizing and refining the experimental tool to enhance the translational success of the candidate therapeutics for MS.
基金supported by the National Natural Science Foundation of China (Grant No.52279116,Grant No.52109142)the Key projects of the Yalong River Joint Fund of the National Natural Science Foundation of China (Grant No.U1865203)。
文摘Deep high-energy rock masses are susceptible to dynamic and static disasters in underground caverns when stress waves superimpose on them. Scientifically evaluating the stability of surrounding rock mass under such conditions is fundamental for predicting and preventing related hazards. This study combines laboratory dynamic disturbance tests with numerical simulations to analyze changes in the three-dimensional stress state of surrounding rock caused by stress waves. It was found that stress waves not only alter the magnitude of unit stresses but also cause rotation of the principal stress axes. Based on the failure approach index(FAI), a new dynamic response evaluation index for brittle surrounding rock—the Energy Hazard Index(FAI_(E)) is proposed from an energy perspective. This index can derive functional expressions based on different strength criteria, offering good extensibility. Using the Mohr-Coulomb strength criterion as an example, the specific functional expression of FAI_(E) is provided. Comparison with experimental results confirms that the evaluation outcomes align with the dynamic response characteristics of surrounding rock mass, simultaneously considering both tensile and shear failure modes. Parameter sensitivity tests demonstrate the applicability of the index under complex conditions. Furthermore, the relationship between FAIE and commonly used dynamic disturbance evaluation parameters—such as Peak Particle Velocity(PPV)—has been examined, demonstrating that FAIE provides a more accurate and direct assessment of stability. Finally, a rapid engineering application method for FAIE is presented. The research findings hold significant importance for future stability evaluation and support design of surrounding rock in deep underground engineering projects.
基金funded by the National Social Science Fund of China(Grant No.23BGL234).
文摘In the context of advancing towards dual carbon goals,numerous factories are actively engaging in energy efficiency upgrades and transformations.To accurately pinpoint energy efficiency bottlenecks within factories and prioritize renovation sequences,it is crucial to conduct comprehensive evaluations of the energy performance across various workshops.Therefore,this paper proposes an evaluation model for workshop energy efficiency based on the drive-state-response(DSR)framework combined with the fuzzy BORDA method.Firstly,an in-depth analysis of the relationships between different energy efficiency indicators was conducted.Based on the DSR model,evaluation criteria were selected from three dimensions-drive factors,state characteristics,and response measures-to establish a robust energy efficiency indicator system.Secondly,three distinct assessment techniques were selected:Grey Relational Analysis(GRA),Entropy Weight Method(EWM),and Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)forming a diversified set of evaluation methods.Subsequently,by introducing the fuzzy BORDA method,a comprehensive energy efficiency evaluation model was developed,aimed at quantitatively ranking the energy performance status of each workshop.Using a real-world factory as a case study,applying our proposed evaluationmodel yielded detailed scores and rankings for each workshop.Furthermore,post hoc testing was performed using the Spearman correlation coefficient,revealing a statistic value of 10.209,which validates the effectiveness and reliability of the proposed evaluation model.This model not only assists in identifying underperforming workshops within the factory but also provides solid data support and a decision-making basis for future energy efficiency optimization strategies.
基金funded by the General Program of the National Natural Science Foundation of China grant number[62277022].
文摘Algorithms are the primary component of Artificial Intelligence(AI).The algorithm is the process in AI that imitates the human mind to solve problems.Currently evaluating the performance of AI is achieved by evaluating AI algorithms by metric scores on data sets.However the evaluation of algorithms in AI is challenging because the evaluation of the same type of algorithm has many data sets and evaluation metrics.Different algorithms may have individual strengths and weaknesses in evaluation metric scores on separate data sets,lacking the credibility and validity of the evaluation.Moreover,evaluation of algorithms requires repeated experiments on different data sets,reducing the attention of researchers to the research of the algorithms itself.Crucially,this approach to evaluating comparative metric scores does not take into account the algorithm’s ability to solve problems.And the classical algorithm evaluation of time and space complexity is not suitable for evaluating AI algorithms.Because classical algorithms input is infinite numbers,whereas AI algorithms input is a data set,which is limited and multifarious.According to the AI algorithm evaluation without response to the problem solving capability,this paper summarizes the features of AI algorithm evaluation and proposes an AI evaluation method that incorporates the problem-solving capabilities of algorithms.
文摘BACKGROUND Previous studies have reported the high predictive accuracy of 4C Mortality Score derived at hospital admission in coronavirus disease 2019(COVID-19)patients.Very few studies have assessed it at intensive care unit(ICU)admission and compared it with the Acute Physiology and Chronic Health Evaluation(APACHE)II score.There are no studies comparing its accuracy with APACHE III score.AIM To describe the characteristics and outcomes of patients admitted to ICU with COVID-19 infection and to compare the accuracy of 4C score and APACHE score in predicting mortality in these patients.METHODS We conducted this retrospective cohort study using an electronic database in a tertiary ICU in Sydney.We included all adult patients(age>16 years)admitted to ICU with COVID-19 infection over a 5-month period(July 1,2021 to November 30,2021).We collected the data on demographics,clinical characteristics,interventions and outcomes for all patients.We calculated the 4C Mortality Score for each patient using eight variables as described previously.We compared the predictive accuracy of 4C Mortality Score at hospital and ICU admission and APACHE II and III scores by area under the receiver operating characteristic curve(AUROC).We determined the optimal cut-off value for each of these scores using the‘nearest’method and its 95%confidence interval by bootstrapping.RESULTS A total of 140 patients(62%males,mean age 56±17 years,mean APACHE II score 13±57)were included in the study.Nineteen(13.6%)of 140 patients died in the hospital.Compared to survivors,the non-survivors were older,males,had more comorbidities,higher rate of mechanical ventilation and vasopressor use.The AUROC for the 4C Mortality Score at hospital and ICU admission and APACHE II and II score was 0.75,0.80.0.75 and 0.79 respectively.The optimal cut-off value for these four scores was 9,10,14 and 56 respectively.The cut-point for all the scores had higher sensitivity than specificity.CONCLUSION The 4C score at ICU admission had a higher accuracy in predicting mortality than the 4C score at hospital admission.The predictive accuracy was similar to that for APACHE III score.The 4C score at ICU admission needs to be validated in future studies.
文摘According to basic connotation and design principles of ecocity, a comparatively integrated index system is constructed in the paper. And at the same time using hierarchy grey comprehensive evaluation method, a hierarchy grey comprehensive evaluation model of ecocity is established, then on the basis of the model, a comprehensive evaluation support system is developed, and the theoretical guidance supplied for construction of ecocity is provided.
文摘1.About CASEE The Chinese Academy of Science and Education Evaluation(CASEE),also known as the Chinese Academy of Evaluation Sciences(CAES),is a key evaluation and research institute established by Hangzhou Dianzi University in 2017.Prof.
基金National Natural Science Foundation ofChina (No. 60375008) Shanghai EXPOSpecial Project ( No.2004BA908B07 )Shanghai NRC International CooperationProject (No.05SN07118)
文摘Study on the evaluation system for multi-source image fusion is an important and necessary part of image fusion. Qualitative evaluation indexes and quantitative evaluation indexes were studied. A series of new concepts, such as independent single evaluation index, union single evaluation index, synthetic evaluation index were proposed. Based on these concepts, synthetic evaluation system for digital image fusion was formed. The experiments with the wavelet fusion method, which was applied to fuse the multi-spectral image and panchromatic remote sensing image, the IR image and visible image, the CT and MRI image, and the multi-focus images show that it is an objective, uniform and effective quantitative method for image fusion evaluation.
文摘The ability to evaluate teaching materials effectively is a very important professional activity for all EFL teachers,CFL teachers as well.It is essential to fully understand a book's content and style,as well as its strengths and weaknesses,so that the book can be adapted to suit factors such as course aims,student needs and teacher beliefs.This paper deals with the evaluation of a TCFT(Teaching Chinese as a Foreign Language) textbook,New Practical Chinese Reader(NPCR) based on McDonough and Shaw Model and Evaluation Criteria for NPCR.
基金primarily supported by the National Key R&D Program of China[grant number 2021YFC3000904]the Jiangsu Provincial Key Technology R&D Program[grant number BE2022851]National Natural Science Foundation of China[grant number 42405035]。
文摘Vector winds play a crucial role in weather and climate,as well as the effective utilization of wind energy resources.However,limited research has been conducted on treating the wind field as a vector field in the evaluation of numerical weather prediction models.In this study,the authors treat vector winds as a whole by employing a vector field evaluation method,and evaluate the mesoscale model of the China Meteorological Administration(CMA-MESO)and ECMWF forecast,with reference to ERA5 reanalysis,in terms of multiple aspects of vector winds over eastern China in 2022.The results show that the ECMWF forecast is superior to CMA-MESO in predicting the spatial distribution and intensity of 10-m vector winds.Both models overestimate the wind speed in East China,and CMA-MESO overestimates the wind speed to a greater extent.The forecasting skill of the vector wind field in both models decreases with increasing lead time.The forecasting skill of CMA-MESO fluctuates more and decreases faster than that of the ECMWF forecast.There is a significant negative correlation between the model vector wind forecasting skill and terrain height.This study provides a scientific evaluation of the local application of vector wind forecasts of the CMA-MESO model and ECMWF forecast.
文摘BACKGROUND Coronavirus disease 2019(COVID-19)disrupted healthcare and led to increased telehealth use.We explored the impact of COVID-19 on liver transplant evaluation(LTE).AIM To understand the impact of telehealth on LTE during COVID-19 and to identify disparities in outcomes disaggregated by sociodemographic factors.METHODS This was a retrospective study of patients who initiated LTE at our center from 3/16/20-3/16/21(“COVID-19 era”)and the year prior(3/16/19-3/15/20,“pre-COVID-19 era”).We compared LTE duration times between eras and explored the effects of telehealth and inpatient evaluations on LTE duration,listing,and pretransplant mortality.RESULTS One hundred and seventy-eight patients were included in the pre-COVID-19 era cohort and one hundred and ninety-nine in the COVID-19 era cohort.Twentynine percent(58/199)of COVID-19 era initial LTE were telehealth,compared to 0%(0/178)pre-COVID-19.There were more inpatient evaluations during COVID-19 era(40%vs 28%,P<0.01).Among outpatient encounters,telehealth use for initial LTE during COVID-19 era did not impact likelihood of listing,pretransplant mortality,or time to LTE and listing.Median times to LTE and listing during COVID-19 were shorter than pre-COVID-19,driven by increased inpatient evaluations.Sociodemographic factors were not predictive of telehealth.CONCLUSION COVID-19 demonstrates a shift to telehealth and inpatient LTE.Telehealth does not impact LTE or listing duration,likelihood of listing,or mortality,suggesting telehealth may facilitate LTE without negative outcomes.
