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
Rock brittleness is a critical property in geotechnical and energy engineering,as it directly influences the prediction of rock failure and stability assessment.Although numerous methods have been developed to evaluat...Rock brittleness is a critical property in geotechnical and energy engineering,as it directly influences the prediction of rock failure and stability assessment.Although numerous methods have been developed to evaluate brittleness,many fail to comprehensively account for the impacts of microstructural changes,mineralogical characteristics,and stress conditions on energy evolution during failure.This study proposes a novel approach for brittleness evaluation based on the energy evolution throughout the post-peak failure process,integrating two micromechanical mechanisms:crack propagation and frictional sliding.A new brittleness index is defined as the ratio of generated surface energy to released elastic energy,providing a unified framework for assessing both Class I and Class II mechanical behaviors.The brittleness of cyan,white,and gray sandstones was investigated under various confining pressures and moisture conditions using X-ray diffraction(XRD),scanning electron microscopy(SEM),and conventional triaxial compression(CTC)tests.The results demonstrate that brittleness decreases with increasing confining pressure,due to suppressed crack propagation,and increases under saturated conditions,as moisture enhances crack propagation.By establishing connections between mineral composition,microstructural features,and stress-induced responses,the proposed method overcame limitations of previous approaches and offered a more precise tool for evaluating rock brittleness under diverse environmental scenarios.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
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
Fracability is a critical indicator for evaluating the exploration and development potential of coalbed methane reservoirs and assessing the effectiveness of hydraulic fracturing stimulation operations.Its core functi...Fracability is a critical indicator for evaluating the exploration and development potential of coalbed methane reservoirs and assessing the effectiveness of hydraulic fracturing stimulation operations.Its core function is to characterize the complexity of the induced fracture network and the resulting effective stimulated volume.In this study,we quantified fracture area and geometric complexity using true triaxial fracturing experiments and computed tomography three-dimensional(3D)reconstruction technology,combined with the box-counting method to calculate the 3D fractal dimension of the fracture surfaces.The results revealed that the total fracture surface area per unit volume of the stimulated reservoir effectively characterized reservoir fracability;specifically,both a larger total fracture surface area and a higher fractal dimension corresponded to better reservoir fracability.Fracture complexity was enhanced by a decrease in the horizontal principal stress difference or an increase in the injection rate.Under optimal conditions of a 3 MPa stress difference and an injection rate of 60 mL/min,fracability improved by 27.6%.Furthermore,liquid carbon dioxide(CO_(2))improved fracability by 50.7%compared to using water as the fracturing fluid,a result attributed to its low viscosity and strong diffusion capacity,which activated a greater number of natural fractures.A fracability evaluation model integrating brittleness,fracture toughness,and dimensionless net pressure was developed using regression analysis,which demonstrated high reliability with a strong determination coefficient(R^(2))of 0.9019.This study clarifies the logical relationships among fracture area,complexity,and fractal dimension,providing a novel method for evaluating the fracability of coal reservoirs.展开更多
Conventional ultrasound(US)evaluation of enthesitis in psoriatic arthritis(PsA)is limited by its inability to quantify metabolic alterations such as hypoxia,a key driver of disease activity.We introduce an oxygenation...Conventional ultrasound(US)evaluation of enthesitis in psoriatic arthritis(PsA)is limited by its inability to quantify metabolic alterations such as hypoxia,a key driver of disease activity.We introduce an oxygenation-integrated multimodal photoacoustic/ultrasound(PA/US)imaging framework designed to quantify entheseal oxygen saturation(SO_(2))for assessing entheseal disease activity in PsA.In this cross-sectional study,25 PsA patients underwent bilateral PA/US imaging of 12 entheses,where ultrasound lesions were scored using the Outcome Measures in Rheumatology scoring system,and PA-derived SO_(2) levels,quantified via dual-wavelength PA imaging,were classified into hyperoxia or hypoxia groups using k-means clustering.This approach provides metabolic insights complementary to conventional ultrasonic assessment.A composite score integrating hypoxia with US parameters was validated against clinical disease activity indices(Disease Activity Score 28-C-reactive protein,DAS28-CRP;Disease Activity Index for Psoriatic Arthritis,DAPSA).Among 300 entheses,103(34.3%)exhibited PA positivity,with 40(38.8%)classified as hypoxia.Hypoxia scores independently predicted DAS28-CRP(β=0.618,p=0.001)and DAPSA(β=0.612,p<0:001).The hypoxia-optimized PAUS score demonstrated superior correlation with disease activity indices compared to conventional US(DAS28-CRP:r=0.615,p=0.001 versus r=0.474,p=0.017;DAPSA:r=0.743,p<0:001 versus r=0.567,p=0.003),alongside superior diagnostic accuracy for minimal disease activity(area under the curve,AUC 0.776 versus 0.614,p=0.008)and low disease activity(AUC 0.853 versus 0.772,p=0.009).This multimodal scoring system enhances the stratification of PsA disease activity by providing unique metabolic insights,offering a potential tool for therapeutic monitoring and guiding treat-to-target strategies.展开更多
Crassostrea gigas has good taste and high nutritional value;however,there are few assessments of comprehensive and panoramic analyses of the nutritional quality of the northern oyster.To study the nutritional characte...Crassostrea gigas has good taste and high nutritional value;however,there are few assessments of comprehensive and panoramic analyses of the nutritional quality of the northern oyster.To study the nutritional characteristics of C.gigas from different sources(ploidy,region,size,and culture mode),C.gigas from various ploidy(diploid and triploid),regions(Rushan,Off-site fattening,and Rongcheng),sizes(small,medium,and large)and culture modes(nearshore and offshore)were selected for comparative analyses.The nutritional components(moisture,protein,fat,and mineral),flavor substances(taste amino acids,nucleotides,and succinic acid),and functional indices(eicosapentaenoic acid(EPA),docosahexaenoic acid(DHA),and taurine)of C.gigas were determined.Principal component analysis(PCA)was used to comprehensively evaluate the oysters and investigate the variations in nutritional quality.The PCA results indicate that protein,essential fatty acids,selenium,zinc,taste amino acids,taurine,EPA,and DHA were core components contributing to 82.25%of the cumulative variance,providing a more comprehensive reflection of the nutrient composition of C.gigas.The extensive quality rankings for the C.gigas were as follows:diploid>triploid,Rushan>fattening>Rongcheng,medium>large>small,and offshore>nearshore.The score rank revealed that diploid oysters of medium-size from Rushan demonstrated superior nutritional quality compared to other tested samples.This is the first comprehensive and systematic investigation of C.gigas in northern China to reveal the feature of nutrients,flavor,and functional components.The study provided data support for the culture,consumption,processing,research,and nutritional quality improvement of oyster industry.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
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
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
Blast furnace(BF)operation state was difficult to characterize,measure,and predict.To solve this problem,an intelligent evaluation and advanced prediction method of BF operation state based on industry big data and ma...Blast furnace(BF)operation state was difficult to characterize,measure,and predict.To solve this problem,an intelligent evaluation and advanced prediction method of BF operation state based on industry big data and machine learning was proposed.Based on the criteria of high productivity,low consumption,high quality,smooth running and long life,five BF parameters were extracted according to production experience and metallurgy process.Using the unsupervised learning,a 4-grade evaluation rule was established to realize the intelligent rating of BF operation state.Based on Kendall and maximal information coefficient,70 BF parameters with the most characteristic power of BF operation state were determined.The weights of BF parameters were calculated by applying the criteria importance through intercriteria correlation and the grey correlation degree.The weights of raw material,fuel,gas distribution,cooling stave,BF hearth,and iron and slag were 0.241,0.213,0.140,0.098,0.117 and 0.191,respectively.The weight of data interval was calculated by using the grading algorithm and the monotonicity,and then,the intelligent scoring mechanism based on the multiple weights was formed.It was beneficial to qualitatively and quantitatively characterizing the“black box”BF operation state.Furthermore,combining the algorithm and the evaluation mechanism,a graded prediction model of BF operation state was developed and proposed.It was shown that,compared with the conventional prediction model,the mean absolute error and mean square error of the graded prediction model were reduced by 0.35 and 1.29,respectively,while the explained variation was increased by 14.56%,the hit rate was increased by 5.1%within the error of 3%,and the average hit rate was more than 90.6%.It could be applied to reliably predict the score of BF operation state in the next hour and accurately provide the support for the practical controlling of the running BF.展开更多
Based on new understandings of the whole petroleum system theory for coal measures,and utilizing data from coal-rock gas wells and other oil and gas wells in numerous pilot test areas for key parameter validation,this...Based on new understandings of the whole petroleum system theory for coal measures,and utilizing data from coal-rock gas wells and other oil and gas wells in numerous pilot test areas for key parameter validation,this study conducted a national resource assessment of coal-rock gas widely developed in marine-continental transitional and continental strata in major petroliferous basins like Ordos,Sichuan and Junggar in China.The main achievements and understandings were obtained as follows.(1)A resource evaluation methodology for coal-rock gas was established,incorporating varying geological/data conditions.(2)Key parameter thresholds for deep coal-rock gas resource evaluation were defined,including the upper limits of critical depth(1500,2000,2500 m),lower limit of reservoir thickness(1 m),and lower limits of gas content in medium-low rank and medium-high rank coals(2,10 m^(3)/t),depending on varying geological conditions across basins.(3)Methods for determining key parameters such as gas content,porosity,and technical recovery factor were developed using the basic data from coal-rock gas experiments/tests and logging.(4)Evaluation results indicate that the geological resources of coal-rock gas in the 14 major basins of onshore China amount to 55.11×10^(12) m^(3).Resources at depths of 1500-3000,3000-5000,5000-6000 m account for 50.29%,43.11%,6.60%of the total,respectively.Resource classification shows that Class Ⅰ,Ⅱ,and Ⅲ resources constitute 21.80%,32.76%,45.44%,with the Class Ⅰ and Ⅱ technically recoverable resources of approximately 13.23×10^(12) m^(3).(5)The Ordos Basin remains the most favorable province,while the Sichuan,Junggar and Tarim basins are the promising targets,for future exploration and development of coal-rock gas in the country.Other basins including Bohai Bay,Qaidam,Tuha,Songliao and Hailar are considered as prospective options.Coal-rock gas production is expected to reach 500×10^(8) m^(3) annually within the next 10-15 years,positioning it as a major contributor to the natural gas production growth of China and a crucial alternative resource for ensuring the national gas supply.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
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
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
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
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 No.42277147)Ningbo Public Welfare Research Program(Grant No.2024S081)Ningbo Natural Science Foundation(Grant No.2024J186).
文摘Rock brittleness is a critical property in geotechnical and energy engineering,as it directly influences the prediction of rock failure and stability assessment.Although numerous methods have been developed to evaluate brittleness,many fail to comprehensively account for the impacts of microstructural changes,mineralogical characteristics,and stress conditions on energy evolution during failure.This study proposes a novel approach for brittleness evaluation based on the energy evolution throughout the post-peak failure process,integrating two micromechanical mechanisms:crack propagation and frictional sliding.A new brittleness index is defined as the ratio of generated surface energy to released elastic energy,providing a unified framework for assessing both Class I and Class II mechanical behaviors.The brittleness of cyan,white,and gray sandstones was investigated under various confining pressures and moisture conditions using X-ray diffraction(XRD),scanning electron microscopy(SEM),and conventional triaxial compression(CTC)tests.The results demonstrate that brittleness decreases with increasing confining pressure,due to suppressed crack propagation,and increases under saturated conditions,as moisture enhances crack propagation.By establishing connections between mineral composition,microstructural features,and stress-induced responses,the proposed method overcame limitations of previous approaches and offered a more precise tool for evaluating rock brittleness under diverse environmental scenarios.
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 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.
基金supported by the Natural Science Foundation of China(Grant No.52574047 and Grant No.52374045)Key Project of Sichuan Provincial Joint Fund for Science Technology and Education,China(Grant No.2025NSFSC2008).
文摘Fracability is a critical indicator for evaluating the exploration and development potential of coalbed methane reservoirs and assessing the effectiveness of hydraulic fracturing stimulation operations.Its core function is to characterize the complexity of the induced fracture network and the resulting effective stimulated volume.In this study,we quantified fracture area and geometric complexity using true triaxial fracturing experiments and computed tomography three-dimensional(3D)reconstruction technology,combined with the box-counting method to calculate the 3D fractal dimension of the fracture surfaces.The results revealed that the total fracture surface area per unit volume of the stimulated reservoir effectively characterized reservoir fracability;specifically,both a larger total fracture surface area and a higher fractal dimension corresponded to better reservoir fracability.Fracture complexity was enhanced by a decrease in the horizontal principal stress difference or an increase in the injection rate.Under optimal conditions of a 3 MPa stress difference and an injection rate of 60 mL/min,fracability improved by 27.6%.Furthermore,liquid carbon dioxide(CO_(2))improved fracability by 50.7%compared to using water as the fracturing fluid,a result attributed to its low viscosity and strong diffusion capacity,which activated a greater number of natural fractures.A fracability evaluation model integrating brittleness,fracture toughness,and dimensionless net pressure was developed using regression analysis,which demonstrated high reliability with a strong determination coefficient(R^(2))of 0.9019.This study clarifies the logical relationships among fracture area,complexity,and fractal dimension,providing a novel method for evaluating the fracability of coal reservoirs.
基金supported by the National Natural Science Foundation of China(62325112)the National Key Research and Development Program of China(2023YFC2411700,2023YFC2411705)+2 种基金the National Natural Science Foundation of China(U22A2023)the National High-Level Hospital Clinical Research Funding(2022-PUMCH-C-009,2022-PUMCH-B-064,2022-PUMCH-D-002)the National Basic Research Program of China(973 Program,2014CB541801).
文摘Conventional ultrasound(US)evaluation of enthesitis in psoriatic arthritis(PsA)is limited by its inability to quantify metabolic alterations such as hypoxia,a key driver of disease activity.We introduce an oxygenation-integrated multimodal photoacoustic/ultrasound(PA/US)imaging framework designed to quantify entheseal oxygen saturation(SO_(2))for assessing entheseal disease activity in PsA.In this cross-sectional study,25 PsA patients underwent bilateral PA/US imaging of 12 entheses,where ultrasound lesions were scored using the Outcome Measures in Rheumatology scoring system,and PA-derived SO_(2) levels,quantified via dual-wavelength PA imaging,were classified into hyperoxia or hypoxia groups using k-means clustering.This approach provides metabolic insights complementary to conventional ultrasonic assessment.A composite score integrating hypoxia with US parameters was validated against clinical disease activity indices(Disease Activity Score 28-C-reactive protein,DAS28-CRP;Disease Activity Index for Psoriatic Arthritis,DAPSA).Among 300 entheses,103(34.3%)exhibited PA positivity,with 40(38.8%)classified as hypoxia.Hypoxia scores independently predicted DAS28-CRP(β=0.618,p=0.001)and DAPSA(β=0.612,p<0:001).The hypoxia-optimized PAUS score demonstrated superior correlation with disease activity indices compared to conventional US(DAS28-CRP:r=0.615,p=0.001 versus r=0.474,p=0.017;DAPSA:r=0.743,p<0:001 versus r=0.567,p=0.003),alongside superior diagnostic accuracy for minimal disease activity(area under the curve,AUC 0.776 versus 0.614,p=0.008)and low disease activity(AUC 0.853 versus 0.772,p=0.009).This multimodal scoring system enhances the stratification of PsA disease activity by providing unique metabolic insights,offering a potential tool for therapeutic monitoring and guiding treat-to-target strategies.
基金Supported by the Central Public-interest Scientific Institution Basal Research Fund,YSFRI,CAFS(No.20603022024016)the Central Public-interest Scientific Institution Basal Research Fund,CAFS(Nos.2023TD52,2023TD76)the earmarked fund for CARS(No.CARS-49)。
文摘Crassostrea gigas has good taste and high nutritional value;however,there are few assessments of comprehensive and panoramic analyses of the nutritional quality of the northern oyster.To study the nutritional characteristics of C.gigas from different sources(ploidy,region,size,and culture mode),C.gigas from various ploidy(diploid and triploid),regions(Rushan,Off-site fattening,and Rongcheng),sizes(small,medium,and large)and culture modes(nearshore and offshore)were selected for comparative analyses.The nutritional components(moisture,protein,fat,and mineral),flavor substances(taste amino acids,nucleotides,and succinic acid),and functional indices(eicosapentaenoic acid(EPA),docosahexaenoic acid(DHA),and taurine)of C.gigas were determined.Principal component analysis(PCA)was used to comprehensively evaluate the oysters and investigate the variations in nutritional quality.The PCA results indicate that protein,essential fatty acids,selenium,zinc,taste amino acids,taurine,EPA,and DHA were core components contributing to 82.25%of the cumulative variance,providing a more comprehensive reflection of the nutrient composition of C.gigas.The extensive quality rankings for the C.gigas were as follows:diploid>triploid,Rushan>fattening>Rongcheng,medium>large>small,and offshore>nearshore.The score rank revealed that diploid oysters of medium-size from Rushan demonstrated superior nutritional quality compared to other tested samples.This is the first comprehensive and systematic investigation of C.gigas in northern China to reveal the feature of nutrients,flavor,and functional components.The study provided data support for the culture,consumption,processing,research,and nutritional quality improvement of oyster industry.
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.
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.
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supported by the National Natural Science Foundation of China(Nos.52404343,52274326,and 52404341)the Fundamental Research Funds for the Central Universities(N2425031,N25BJD007)+1 种基金the China Postdoctoral Science Foundation(2024M760370)the Liaoning Province Science and Technology Plan Joint Program(Key Research and Development Program Project)(2023JH2/101800058).
文摘Blast furnace(BF)operation state was difficult to characterize,measure,and predict.To solve this problem,an intelligent evaluation and advanced prediction method of BF operation state based on industry big data and machine learning was proposed.Based on the criteria of high productivity,low consumption,high quality,smooth running and long life,five BF parameters were extracted according to production experience and metallurgy process.Using the unsupervised learning,a 4-grade evaluation rule was established to realize the intelligent rating of BF operation state.Based on Kendall and maximal information coefficient,70 BF parameters with the most characteristic power of BF operation state were determined.The weights of BF parameters were calculated by applying the criteria importance through intercriteria correlation and the grey correlation degree.The weights of raw material,fuel,gas distribution,cooling stave,BF hearth,and iron and slag were 0.241,0.213,0.140,0.098,0.117 and 0.191,respectively.The weight of data interval was calculated by using the grading algorithm and the monotonicity,and then,the intelligent scoring mechanism based on the multiple weights was formed.It was beneficial to qualitatively and quantitatively characterizing the“black box”BF operation state.Furthermore,combining the algorithm and the evaluation mechanism,a graded prediction model of BF operation state was developed and proposed.It was shown that,compared with the conventional prediction model,the mean absolute error and mean square error of the graded prediction model were reduced by 0.35 and 1.29,respectively,while the explained variation was increased by 14.56%,the hit rate was increased by 5.1%within the error of 3%,and the average hit rate was more than 90.6%.It could be applied to reliably predict the score of BF operation state in the next hour and accurately provide the support for the practical controlling of the running BF.
基金Supported by the National Science and Technology Major Project(2025ZD1404200)Research Project of PetroChina Company Limited(2024DJ23)Scientific Research and Technology Development Project of PetroChina Research Institute of Petroleum Exploration&Development(2024vzz).
文摘Based on new understandings of the whole petroleum system theory for coal measures,and utilizing data from coal-rock gas wells and other oil and gas wells in numerous pilot test areas for key parameter validation,this study conducted a national resource assessment of coal-rock gas widely developed in marine-continental transitional and continental strata in major petroliferous basins like Ordos,Sichuan and Junggar in China.The main achievements and understandings were obtained as follows.(1)A resource evaluation methodology for coal-rock gas was established,incorporating varying geological/data conditions.(2)Key parameter thresholds for deep coal-rock gas resource evaluation were defined,including the upper limits of critical depth(1500,2000,2500 m),lower limit of reservoir thickness(1 m),and lower limits of gas content in medium-low rank and medium-high rank coals(2,10 m^(3)/t),depending on varying geological conditions across basins.(3)Methods for determining key parameters such as gas content,porosity,and technical recovery factor were developed using the basic data from coal-rock gas experiments/tests and logging.(4)Evaluation results indicate that the geological resources of coal-rock gas in the 14 major basins of onshore China amount to 55.11×10^(12) m^(3).Resources at depths of 1500-3000,3000-5000,5000-6000 m account for 50.29%,43.11%,6.60%of the total,respectively.Resource classification shows that Class Ⅰ,Ⅱ,and Ⅲ resources constitute 21.80%,32.76%,45.44%,with the Class Ⅰ and Ⅱ technically recoverable resources of approximately 13.23×10^(12) m^(3).(5)The Ordos Basin remains the most favorable province,while the Sichuan,Junggar and Tarim basins are the promising targets,for future exploration and development of coal-rock gas in the country.Other basins including Bohai Bay,Qaidam,Tuha,Songliao and Hailar are considered as prospective options.Coal-rock gas production is expected to reach 500×10^(8) m^(3) annually within the next 10-15 years,positioning it as a major contributor to the natural gas production growth of China and a crucial alternative resource for ensuring the national gas supply.
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.
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.
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.
