The construction of spot electricity markets plays a pivotal role in power system reforms,where market clearing systems profoundly influence market efficiency and security.Current clearing systems predominantly adopt ...The construction of spot electricity markets plays a pivotal role in power system reforms,where market clearing systems profoundly influence market efficiency and security.Current clearing systems predominantly adopt a single-system architecture,with research focusing primarily on accelerating solution algorithms through techniques such as high-efficiency parallel solvers and staggered decomposition of mixed-integer programming models.Notably absent are systematic studies evaluating the adaptability of primary-backup clearing systems incontingency scenarios—a critical gap given redundant systems’expanding applications in operational environments.This paper proposes a comprehensive evaluation framework for analyzing dual-system adaptability,demonstrated through an in-depth case study of the Inner Mongolia power market.First,we establish the innovative“Dual-Active Heterogeneous”architecture that enables independent parallelized operation and fault-isolated redundancy.Subsequently,key performance indices are quantitatively evaluated across four critical dimensions:unit commitment decisions,generator output constraints,transmission section congestion patterns,and clearing price formation mechanisms.An integrated fuzzy evaluation methodology incorporating grey relational analysis is employed for objective indicator weighting,enabling systematic quantification of system superiority under specific grid operating states.Empirical results based on actual operational data from 200 generation units demonstrate the framework’s efficacy in guiding optimal system selection,with particularly strong performance observed during peak load periods.The proposed approach shows high generalization potential for other regional markets employing redundant clearing mechanisms—particularly those with increasing renewable penetration and associated uncertainty.展开更多
[Objective] This study aimed to evaluate the adaptability of 28 green asparagus cultivars under the climatic conditions in Poland and to select cultivars most suitable for growing in Poland. [Method] Based on an overv...[Objective] This study aimed to evaluate the adaptability of 28 green asparagus cultivars under the climatic conditions in Poland and to select cultivars most suitable for growing in Poland. [Method] Based on an overview of asparagus, spears of 28 cultivars from the six year’s harvest in 2008 were evaluated at the Marcelin Experimental Station. During the harvest period, spears were cut daily and trimmed to 22 cm, followed by grading and weigh. In addition, general appearance, anthocyan discolouration, head tightness, colour and smoothness of the spears were also evaluated. [Result] In terms of total yield, ‘Gynlim’ was the best cultivar, followed by ‘Hannibal’, ‘Ravel’, ‘Grolim’ and ‘Ramada’; ‘Gloria’ was the worst cultivar, followed by ‘Tsuki-kho 3’, ‘Purple Passion’, ‘Jacq. Ma 2014’, ‘Sartaguda’, and ‘Jacq. Ma 2004’. ‘Gynlim’, ‘Hannibal’, ‘Ravel’, ‘Ramada’ and ‘Ariane’ were the top five cultivars in early yield, and the worst cultivar concerning early yield was ‘PLA-2132’, followed by ‘Ramos’, ‘Tsuki-kho 3’ and ‘Purple Passion’. ‘Ariane’, ‘Cipress’, ‘Grolim’, ‘Gynlim’ and ‘Hannibal’ were five best culivars considering spear quality, and the four worst cultivars were ‘Jacq. Ma 2004’, ‘Gloria’, ‘Jacq. Ma 2014’ and ‘Tsuki-kho 3’. [Conclusion] Taken both the yield and quality of spears into consideration, the most suitable cultivars of green spears for growing under the climatic conditions in Poland should be ‘Gynlim’, ‘Hannibal’, ‘Ravel’ and ‘Grolim’, while ‘Gloria’, ‘Tsuki-kho 3’, ‘Purple Passion’, ‘Jacq. Ma 2014’ and ‘Sartaguda’ were not suitable for growing in Poland.展开更多
Wheat samples were collected from Hetao Area, Inner Mongolia, and their poisonous, harmful and beneficial elements contents were analyzed. According to the standards for heavy metals in wheat green food, the Hg, Cd, A...Wheat samples were collected from Hetao Area, Inner Mongolia, and their poisonous, harmful and beneficial elements contents were analyzed. According to the standards for heavy metals in wheat green food, the Hg, Cd, As and Pb contents in the wheat samples collected from Qiantao Area were all below the national standards, indicating that they were green; and the heavy metals contents in the wheat samples collected from Houtao Area were basically in line with the pollutionfree food hygiene standards, indicating that they were not harmful to human body. Harmful elements Cd and Hg were more enriched in the wheat samples from Qiantao Area, but their contents were all lower than the national food standards, indicating that the wheat from Qiantao Area was not harmful to human health. The wheat from Houtao Area was rich in essential trace elements Cu, Zn, Se and K, and long-term consumption was beneficial to human health.展开更多
Theoretical education and practical education are very important in clinical laboratory teaching.The teaching evaluation system is one of the important means to test the quality of course teaching.The traditional summ...Theoretical education and practical education are very important in clinical laboratory teaching.The teaching evaluation system is one of the important means to test the quality of course teaching.The traditional summative evaluation needs to be improved in terms of scientificity and impartiality,and its guiding effect on teaching reform is limited.Therefore,this paper proposes to apply formative evaluation to clinical laboratory teaching to remobilize students'learning enthusiasm and provide valuable guidance for the subsequent teaching reform,hoping to achieve the purpose of improving the quality of laboratory teaching.展开更多
With the reform and opening up entering a new era,China’s modern civilization and technology are“rolling forward”.In the medical field,innovative changes in radiology imaging technology have presented unprecedented...With the reform and opening up entering a new era,China’s modern civilization and technology are“rolling forward”.In the medical field,innovative changes in radiology imaging technology have presented unprecedented value opportunities in tumor diagnosis.Therefore,this article explores the classification of radiological imaging techniques,specifically including X-ray imaging,Computed Tomography(CT),Magnetic Resonance Imaging(MRI),Positron Emission Tomography(PET),and ultrasound imaging.Furthermore,it analyzes the practical application of these key technologies in tumor diagnosis and propose new ideas.In the end,the advantages and characteristics of radiology imaging technology are evaluated,and two limitations are also pointed out,which deserves profound reflection.展开更多
This paper explores the application effect of humanistic care in the nursing of hemodialysis patients.Firstly,it expounds the application value of humanistic care in the nursing of hemodialysis patients.Then,it evalua...This paper explores the application effect of humanistic care in the nursing of hemodialysis patients.Firstly,it expounds the application value of humanistic care in the nursing of hemodialysis patients.Then,it evaluates the effect by constructing an evaluation index system and combining with empirical analysis.Finally,it puts forward specific application measures and draws conclusions.The purpose is to provide reference for improving the nursing quality of hemodialysis patients,so as to enhance patients’quality of life and promote their physical and mental health.展开更多
Machine learning methods are widely used to evaluate the risk of small-and mediumsized enterprises(SMEs)in supply chain finance(SCF).However,there may be problems with data scarcity,feature redundancy,and poor predict...Machine learning methods are widely used to evaluate the risk of small-and mediumsized enterprises(SMEs)in supply chain finance(SCF).However,there may be problems with data scarcity,feature redundancy,and poor predictive performance.Additionally,data collected over a long time span may cause differences in the data distribution,and classic supervised learning methods may exhibit poor predictive abilities under such conditions.To address these issues,a domain-adaptation-based multistage ensemble learning paradigm(DAMEL)is proposed in this study to evaluate the credit risk of SMEs in SCF.In this methodology,a bagging resampling algorithm is first used to generate a dataset to address data scarcity.Subsequently,a random subspace is applied to integrate various features and reduce feature redundancy.Additionally,a domain adaptation approach is utilized to reduce the data distribution discrepancy in the cross-domain.Finally,dynamic model selection is developed to improve the generalization ability of the model in the fourth stage.A real-world credit dataset from the Chinese securities market was used to validate the effectiveness and feasibility of the multistage ensemble learning paradigm.The experimental results demonstrated that the proposed domain-adaptation-based multistage ensemble learning paradigm is superior to principal component analysis,joint distribution adaptation,random forest,and other ensemble and transfer learning methods.Moreover,dynamic model selection can improve the model generalization performance and prediction precision of minority samples.This can be considered a promising solution for evaluating the credit risk of SMEs in SCF for financial institutions.展开更多
Using the“Civil Aviation Oral English”course as a case study,we operationalize the ideological and political education(IPE)integrated evaluation system for oral English courses in higher vocational education,which i...Using the“Civil Aviation Oral English”course as a case study,we operationalize the ideological and political education(IPE)integrated evaluation system for oral English courses in higher vocational education,which is based on Kirkpatrick’s Model,into a tripartite teaching evaluation system.The system encompasses three components such as learning objective attainment,individual developmental progress,and value-added competency assessment.The proposed system facilitates three-dimensional,multi-level,and scientifically validated teaching evaluation.This approach aligns with the holistic development of students’knowledge structures,professional competencies,moral qualities,and emotional intelligence.The study provides novel methodological perspectives for IPE evaluation in vocational oral English instruction,particularly in:curriculum-based ideological mapping,competency growth metrics,and value internalization assessment.展开更多
In recent years, global reanalysis weather data has been widely used in hydrological modeling around the world, but the results of simulations vary greatly. To consider the applicability of Climate Forecast System Rea...In recent years, global reanalysis weather data has been widely used in hydrological modeling around the world, but the results of simulations vary greatly. To consider the applicability of Climate Forecast System Reanalysis（CFSR） data in the hydrologic simulation of watersheds, the Bahe River Basin was used as a case study. Two types of weather data（conventional weather data and CFSR weather data） were considered to establish a Soil and Water Assessment Tool（SWAT） model, which was used to simulate runoff from 2001 to 2012 in the basin at annual and monthly scales. The effect of both datasets on the simulation was assessed using regression analysis, Nash-Sutcliffe Efficiency（NSE）, and Percent Bias（PBIAS）. A CFSR weather data correction method was proposed. The main results were as follows.（1） The CFSR climate data was applicable for hydrologic simulation in the Bahe River Basin（R^2 of the simulated results above 0.50, NSE above 0.33, and ｜PBIAS｜ below 14.8. Although the quality of the CFSR weather data is not perfect, it achieved a satisfactory hydrological simulation after rainfall data correction.（2） The simulated streamflow using the CFSR data was higher than the observed streamflow, which was likely because the estimation of daily rainfall data by CFSR weather data resulted in more rainy days and stronger rainfall intensity than was actually observed. Therefore, the data simulated a higher base flow and flood peak discharge in terms of the water balance, except for some individual years.（3） The relation between the CFSR rainfall data（x） and the observed rainfall data（y） could berepresented by a power exponent equation： y=1.4789x0.8875（R2=0.98,P〈0.001）. There was a slight variation between the fitted equations for each station. The equation provides a theoretical basis for the correction of CFSR rainfall data.展开更多
In this paper, we selected the middle and upper reaches of the Wuyuer River basin in the black soil region of Northeast China as the study area. We adopted the soil and water integrated model （SWIM） and evaluated th...In this paper, we selected the middle and upper reaches of the Wuyuer River basin in the black soil region of Northeast China as the study area. We adopted the soil and water integrated model （SWIM） and evaluated the parameter sensitivity using partial correlation coefficient. We calibrated and validated our simulation results based on the daily runoff data from Yi＇an hydrological station at the outlet of the river basin and the evaporation data re- corded by various weather stations from 1961 to 1997. Following evaluation of the modeling data against the observed data, we present the applicability of SWIM in the river basin of the black soil region, and discuss the resulting errors and their probable causes. Results show that in the periods of calibration and validation, the Nash-Sutcliffe efficiency （NSE） coeffi- cients of the monthly and daily runoffs were not less than 0.71 and 0.55, and the relative er- rors were less than 6.0%. Compared to daily runoffs, the simulation result of monthly runoffs was better. Additionally, the NSE coefficients of the potential monthly evaporation were not less than 0.81. Together, the results suggest that the calibrated SWIM can be utilized in various simulation analyses of runoffs on a monthly scale in the black soil region of Northeast China. On the contrary, the model had some limitations in simulating runoffs from snowmelt and frozen soil. Meanwhile, the stimulation data deviated from the measured data largely when applied to the years with spring and summer floods. The simulated annual runoffs were considerably higher than the measured data in the years with abrupt increases in annual precipitation. However, the model is capable of reproducing the changes in runoffs during flood seasons. In summary, this model can provide fundamental hydrological information for comprehensive management of the Wuyuer River basin water environment, and its applica- tion can be potentially extended to other river basins in the black soil region.展开更多
The actual sound environment system exhibits various types of linear and non-linear characteristics, and it often contains uncertainty. Furthermore, the observations in the sound environment are often in the level-qua...The actual sound environment system exhibits various types of linear and non-linear characteristics, and it often contains uncertainty. Furthermore, the observations in the sound environment are often in the level-quantized form. In this paper, two types of methods for estimating the specific signal for sound envi-ronment systems with uncertainty and the quantized observation are proposed by introducing newly a system model of the conditional probability type and moment statistics of fuzzy events. The effectiveness of the proposed theoretical methods is confirmed by applying them to the actual problem of psychological evalua-tion for the sound environment.展开更多
Based on the previous studies and development practice in recent 10 years, a quantitative evaluation method for the adaptability of well patterns to ultra-low permeability reservoirs was established using cluster anal...Based on the previous studies and development practice in recent 10 years, a quantitative evaluation method for the adaptability of well patterns to ultra-low permeability reservoirs was established using cluster analysis and gray correlation method, and it includes 10 evaluation parameters in the four aspects of optimal evaluation parameters, determination of weights for evaluation parameters, development stage division, and determination of classification coefficients. This evaluation method was used to evaluate the well pattern adaptability of 13 main ultra-low permeability reservoirs in Triassic Chang 6 and Chang 8 of Ordos Basin. Three basic understandings were obtained: Firstly, the well pattern for ultra-low permeability type-I reservoirs has generally good adaptability, with proper well pattern forms and well pattern parameters. Secondly, square inverted nine-spot well pattern is suitable for reservoirs with no fractures; rhombic inverted nine-spot injection pattern is suitable for reservoirs with some fractures; and rectangular well pattern is suitable for reservoirs with rich fractures. Thirdly, for the ultra-low permeability type-Ⅱ and type-Ⅲ reservoirs, with the principles of well pattern form determination, the row spacing needs to be optimized further to improve the level of development of such reservoirs.展开更多
Six types of runoff plots were set up and an experimental study was carried out to examine natural rate of soil and water loss in the granite gneiss region of northern Jiangsu Province in China. Through correlation an...Six types of runoff plots were set up and an experimental study was carried out to examine natural rate of soil and water loss in the granite gneiss region of northern Jiangsu Province in China. Through correlation analysis of runoff and soil loss during 364 rainfall events, a simplified and convenient mathematical formula suitable for calculating the rainfall erosivity factor （R） for the local region was established. Other factors of the universal soil loss equation （USLE model） were also determined. Relative error analysis of the soil loss of various plots calculated by the USLE model on the basis of the observed values showed that the relative error ranged from -3.5% to 9.9% and the confidence level was more than 90%. In addition, the relative error was 5.64% for the terraced field and 12.36% for the sloping field in the practical application. Thus, the confidence level was above 87.64%. These results provide a scientific basis for forecasting and monitoring soil and water loss, for comprehensive management of small watersheds, and for soil and water conservation planning in the region.展开更多
Precipitation plays a crucial role in the water cycle of Northwest China.Obtaining accurate precipitation data is crucial for regional water resource management,hydrological forecasting,flood control and drought relie...Precipitation plays a crucial role in the water cycle of Northwest China.Obtaining accurate precipitation data is crucial for regional water resource management,hydrological forecasting,flood control and drought relief.Currently,the applicability of multi-source precipitation products for long time series in Northwest China has not been thoroughly evaluated.In this study,precipitation data from 183 meteorological stations in Northwest China from 1979 to 2020 were selected to assess the regional applicability of four precipitation products(the fifth generation of European Centre for Medium-Range Weather Forecasts(ECMWF)atmospheric reanalysis of the global climate(ERA5),Global Precipitation Climatology Centre(GPCC),Climatic Research Unit gridded Time Series Version 4.07(CRU TS v4.07,hereafter CRU),and Tropical Rainfall Measuring Mission(TRMM))based on the following statistical indicators:correlation coefficient,root mean square error(RMSE),relative bias(RB),mean absolute error(MAE),probability of detection(POD),false alarm ratio(FAR),and equitable threat score(ETS).The results showed that precipitation in Northwest China was generally high in the east and low in the west,and exhibited an increasing trend from 1979 to 2020.Compared with the station observations,ERA5 showed a larger spatial distribution difference than the other products.The overall overestimation of multi-year average precipitation was approximately 200.00 mm and the degree of overestimation increased with increasing precipitation intensity.The multi-year average precipitation of GPCC and CRU was relatively close to that of station observations.The trend of annual precipitation of TRMM was overestimated in high-altitude regions and the eastern part of Lanzhou with more precipitation.At the monthly scale,GPCC performed well but underestimated precipitation in the Tarim Basin(RB=-4.11%),while ERA5 and TRMM exhibited poor accuracy in high-altitude regions.ERA5 had a large bias(RB≥120.00%)in winter months and a strong dispersion(RMSE≥35.00 mm)in summer months.TRMM showed a relatively low correlation with station observations in winter months(correlation coefficients≤0.70).The capture performance analysis showed that ERA5,GPCC,and TRMM had lower POD and ETS values and higher FAR values in Northwest China as the precipitation intensity increased.ERA5 showed a high capture performance for small precipitation events and a slower decreasing trend of POD as the precipitation intensity increased.GPCC had the lowest FAR values.TRMM was statistically ineffective for predicting the occurrence of daily precipitation events.The findings provide a reference for data users to select appropriate datasets in Northwest China and for data developers to develop new precipitation products in the future.展开更多
Sixty indexes, ranging from social development and economy increasing to ecological protection and transportation system construction, are chosen to construct an index system of adaptability evaluation on transportati...Sixty indexes, ranging from social development and economy increasing to ecological protection and transportation system construction, are chosen to construct an index system of adaptability evaluation on transportation system and urban development. A synthesis model with nonlinear characteristic is proposed, and the corresponding procedure is presented based on an improved AHP model, which utilizes the SVD method to improve the required precision of matrix with acceptable consistency weight and detect and amend the significant elements via distance and proximity so as to improve the whole consistency. Taking Shandong Province for the case study, experimental results indicate that the adaptability degree of the system is in an increasing state, which provides robust and effective support for decision-makers working on a range of problems and in various circumstances.展开更多
In view of the current situation of aging, functional decline and protection difficulties in historic blocks, the feasibility of commercial regeneration is discussed. Referring to the relevant theories of protection a...In view of the current situation of aging, functional decline and protection difficulties in historic blocks, the feasibility of commercial regeneration is discussed. Referring to the relevant theories of protection and renewal of historic blocks, field investigation and expert consultation, fuzzy evaluation method and analytic hierarchy process are introduced to carry out a research study on the spatial adaptability of historic blocks for commercial regeneration and establish a preliminary evaluation system. An example of Dongguan Street Historic Block in Dalian is used to test the evaluation system. This provides a basis for the formulation of commercial regeneration strategy in the next stage.展开更多
The paper had analyzed natural condition of Daqing Area and distribution of plants of Potentilla in Daqing,and summarized 9 varieties of Potentilla.Based on field study and plot experiment and through observation of t...The paper had analyzed natural condition of Daqing Area and distribution of plants of Potentilla in Daqing,and summarized 9 varieties of Potentilla.Based on field study and plot experiment and through observation of their biological traits,7 varieties of Potentilla had been identified suitable for landscaping;and evaluation had been conducted on their landscape application from the perspective of ornament,drought resistance,cold resistance,trampling resistance,adaptability to environment,coverage,and maintenance frequency.It was considered that their ornamental effect was quite good.They had certain drought resistance and cold resistance,and strong trampling resistance.These resistances of Potentilla bifurca L.var.glabrata Lehm.and Potentilla flagellaris Willd ex Schlecht.were stronger than that of Potentilla paradoxa Nutt.and Potentilla anserina L.,and then Potentilla chinensis Ser.,Potentilla discolor Bunge.and Potentilla tanacetifolia Willd ex Schlecht.were secondary.The pattern and structure of plants of Potentilla were coordinated and unified with the environment.The coverage of P.anserina L.,P.flagellaris Willd ex Schlecht.,and P.bifurca L.var.glabrata Lehm.was higher than that of P.paradoxa Nutt.and P.Tanacetifolia Willd ex Schlecht.and P.discolor Bunge..Plants of Potentilla didn't need to be maintained by men and they were ideal landscaping plants.On this basis,it had proposed suggestions on protection and development of landscaping plants of Potentilla in Daqing City.展开更多
Teaching materials are quite important for teachers and students.Students only pay attention to interesting materials which can be counted good.Teachers should adapt the materials if they want to make the learning rea...Teaching materials are quite important for teachers and students.Students only pay attention to interesting materials which can be counted good.Teachers should adapt the materials if they want to make the learning really take place and make their teaching more effective.The teaching materials in Unit 7 Weather in 21st Century Practical College English Viewing,Listening&Speaking I can be counted good.But it is not good enough and needs adapting to make it better.展开更多
An online experiment to acquire the interior noise of a China Railways High-speed （CRH） train showed that it wasmainly composed of middle-low frequency components and could not be described properly by linear or A-w...An online experiment to acquire the interior noise of a China Railways High-speed （CRH） train showed that it wasmainly composed of middle-low frequency components and could not be described properly by linear or A-weighted soundpressure level （SPL）. Thus, the appropriate way to evaluate the high-speed train interior noise is to use sound quality parameters,and the most important is loudness. To overcome the disadvantages of the existing loudness algorithms, a novel signal-adaptiveMoore loudness algorithm （AMLA） based on the equivalent rectangular bandwidth （ERB） spectrum was introduced. The valida-tion reveals that AMLA can obtain higher accuracy and efficiency, and the simulated dark red noise conforms best to thehigh-speed train interior noise by loudness and auditory assessment. The main loudness component of the interior noise is below27.6 ERB rate （erbr）, and the sound quality of the interior noise is relatively stable between 300-350 km/h. The specific loudnesscomponents among 12-15 erbr stay invariable throughout the acceleration or deceleration process while components among20-27 erbr are evidently speed related. The unusual random noise is effectively identified, which indicates that AMLA is anappropriate method for sound quality assessment of the high-speed train under both steady and transient conditions.展开更多
Livestock is traditionally managed in mixed crop-livestock production systems in Sud-Kivu, D. R. Congo. Currently, livestock production is facing numerous constraints due to wars and insecurity in the country, with lo...Livestock is traditionally managed in mixed crop-livestock production systems in Sud-Kivu, D. R. Congo. Currently, livestock production is facing numerous constraints due to wars and insecurity in the country, with looting of animals, demographic pressure on natural resources, and lack of extension services. Multipurpose trees and shrubs with adequate forage quality could help overcome dry-season feed shortage. The objective of this research was to assess the agro-ecological adaptability of selected forage tree and shrub legumes combined with farmer participatory evaluation. The study was carried out at two distinct mid-altitude sites in Sud-Kivu. Trees and shrubs were planted randomly in eleven lines, with each species/accession consisting of nine plants split into three replications. Following a standardization cut after one year of growth, regular biomass harvests were performed every eight weeks during one year;Desmodium and Flemingia were cut at 0.5 m above soil surface, while Leucaena and Calliandra at 1 m. Before every harvest, plant height was measured and number of stems counted. Fresh leaf and stem biomass were weighted, sub samples dried and leaves analyzed for nutritive value. Results from agronomic evaluation show that Leucaena diversifolia ILRI 15551 and Leucaena leucocephala had the highest yield in the rainy season on fertile soil;during dry season, Leucaena diversifolia ILRI 15551 was superior. On poor soil, Flemingia macrophylla CIAT 17403 performed best in both seasons, however, its forage quality was relatively low. Forage tree and shrub legumes chosen by farmers were, in general, the same as those superior ones in agronomic evaluation.展开更多
基金supported by NARI Relays Electric Co.,Ltd.under the Project“Research on Evaluation of Clearing Results and Switching Criteria for Primary-Backup Systems in Electricity SpotMarkets”(Project No.CGSQ240800443).
文摘The construction of spot electricity markets plays a pivotal role in power system reforms,where market clearing systems profoundly influence market efficiency and security.Current clearing systems predominantly adopt a single-system architecture,with research focusing primarily on accelerating solution algorithms through techniques such as high-efficiency parallel solvers and staggered decomposition of mixed-integer programming models.Notably absent are systematic studies evaluating the adaptability of primary-backup clearing systems incontingency scenarios—a critical gap given redundant systems’expanding applications in operational environments.This paper proposes a comprehensive evaluation framework for analyzing dual-system adaptability,demonstrated through an in-depth case study of the Inner Mongolia power market.First,we establish the innovative“Dual-Active Heterogeneous”architecture that enables independent parallelized operation and fault-isolated redundancy.Subsequently,key performance indices are quantitatively evaluated across four critical dimensions:unit commitment decisions,generator output constraints,transmission section congestion patterns,and clearing price formation mechanisms.An integrated fuzzy evaluation methodology incorporating grey relational analysis is employed for objective indicator weighting,enabling systematic quantification of system superiority under specific grid operating states.Empirical results based on actual operational data from 200 generation units demonstrate the framework’s efficacy in guiding optimal system selection,with particularly strong performance observed during peak load periods.The proposed approach shows high generalization potential for other regional markets employing redundant clearing mechanisms—particularly those with increasing renewable penetration and associated uncertainty.
基金Supported by the Preferential Scientific Activity Foundation for Returned Overseas Chinese Scholars of Shandong Province(2011-780)~~
文摘[Objective] This study aimed to evaluate the adaptability of 28 green asparagus cultivars under the climatic conditions in Poland and to select cultivars most suitable for growing in Poland. [Method] Based on an overview of asparagus, spears of 28 cultivars from the six year’s harvest in 2008 were evaluated at the Marcelin Experimental Station. During the harvest period, spears were cut daily and trimmed to 22 cm, followed by grading and weigh. In addition, general appearance, anthocyan discolouration, head tightness, colour and smoothness of the spears were also evaluated. [Result] In terms of total yield, ‘Gynlim’ was the best cultivar, followed by ‘Hannibal’, ‘Ravel’, ‘Grolim’ and ‘Ramada’; ‘Gloria’ was the worst cultivar, followed by ‘Tsuki-kho 3’, ‘Purple Passion’, ‘Jacq. Ma 2014’, ‘Sartaguda’, and ‘Jacq. Ma 2004’. ‘Gynlim’, ‘Hannibal’, ‘Ravel’, ‘Ramada’ and ‘Ariane’ were the top five cultivars in early yield, and the worst cultivar concerning early yield was ‘PLA-2132’, followed by ‘Ramos’, ‘Tsuki-kho 3’ and ‘Purple Passion’. ‘Ariane’, ‘Cipress’, ‘Grolim’, ‘Gynlim’ and ‘Hannibal’ were five best culivars considering spear quality, and the four worst cultivars were ‘Jacq. Ma 2004’, ‘Gloria’, ‘Jacq. Ma 2014’ and ‘Tsuki-kho 3’. [Conclusion] Taken both the yield and quality of spears into consideration, the most suitable cultivars of green spears for growing under the climatic conditions in Poland should be ‘Gynlim’, ‘Hannibal’, ‘Ravel’ and ‘Grolim’, while ‘Gloria’, ‘Tsuki-kho 3’, ‘Purple Passion’, ‘Jacq. Ma 2014’ and ‘Sartaguda’ were not suitable for growing in Poland.
基金Supported by Land Resources Survey Research Project of China Geological Survey(200414200005)~~
文摘Wheat samples were collected from Hetao Area, Inner Mongolia, and their poisonous, harmful and beneficial elements contents were analyzed. According to the standards for heavy metals in wheat green food, the Hg, Cd, As and Pb contents in the wheat samples collected from Qiantao Area were all below the national standards, indicating that they were green; and the heavy metals contents in the wheat samples collected from Houtao Area were basically in line with the pollutionfree food hygiene standards, indicating that they were not harmful to human body. Harmful elements Cd and Hg were more enriched in the wheat samples from Qiantao Area, but their contents were all lower than the national food standards, indicating that the wheat from Qiantao Area was not harmful to human health. The wheat from Houtao Area was rich in essential trace elements Cu, Zn, Se and K, and long-term consumption was beneficial to human health.
文摘Theoretical education and practical education are very important in clinical laboratory teaching.The teaching evaluation system is one of the important means to test the quality of course teaching.The traditional summative evaluation needs to be improved in terms of scientificity and impartiality,and its guiding effect on teaching reform is limited.Therefore,this paper proposes to apply formative evaluation to clinical laboratory teaching to remobilize students'learning enthusiasm and provide valuable guidance for the subsequent teaching reform,hoping to achieve the purpose of improving the quality of laboratory teaching.
文摘With the reform and opening up entering a new era,China’s modern civilization and technology are“rolling forward”.In the medical field,innovative changes in radiology imaging technology have presented unprecedented value opportunities in tumor diagnosis.Therefore,this article explores the classification of radiological imaging techniques,specifically including X-ray imaging,Computed Tomography(CT),Magnetic Resonance Imaging(MRI),Positron Emission Tomography(PET),and ultrasound imaging.Furthermore,it analyzes the practical application of these key technologies in tumor diagnosis and propose new ideas.In the end,the advantages and characteristics of radiology imaging technology are evaluated,and two limitations are also pointed out,which deserves profound reflection.
文摘This paper explores the application effect of humanistic care in the nursing of hemodialysis patients.Firstly,it expounds the application value of humanistic care in the nursing of hemodialysis patients.Then,it evaluates the effect by constructing an evaluation index system and combining with empirical analysis.Finally,it puts forward specific application measures and draws conclusions.The purpose is to provide reference for improving the nursing quality of hemodialysis patients,so as to enhance patients’quality of life and promote their physical and mental health.
基金supported by grants from the National Natural Science Foundation of China(No.72361014)the Technical Field Fund of Basic Research Strengthening Program(Project No.2021-JCJQ-JJ-0003)+1 种基金the Major Program of the National Social Science Foundation of China(No.19ZDA103)the Science and Technology Project of Jiangxi Provincial Department of Education(No.GJJ2200526).
文摘Machine learning methods are widely used to evaluate the risk of small-and mediumsized enterprises(SMEs)in supply chain finance(SCF).However,there may be problems with data scarcity,feature redundancy,and poor predictive performance.Additionally,data collected over a long time span may cause differences in the data distribution,and classic supervised learning methods may exhibit poor predictive abilities under such conditions.To address these issues,a domain-adaptation-based multistage ensemble learning paradigm(DAMEL)is proposed in this study to evaluate the credit risk of SMEs in SCF.In this methodology,a bagging resampling algorithm is first used to generate a dataset to address data scarcity.Subsequently,a random subspace is applied to integrate various features and reduce feature redundancy.Additionally,a domain adaptation approach is utilized to reduce the data distribution discrepancy in the cross-domain.Finally,dynamic model selection is developed to improve the generalization ability of the model in the fourth stage.A real-world credit dataset from the Chinese securities market was used to validate the effectiveness and feasibility of the multistage ensemble learning paradigm.The experimental results demonstrated that the proposed domain-adaptation-based multistage ensemble learning paradigm is superior to principal component analysis,joint distribution adaptation,random forest,and other ensemble and transfer learning methods.Moreover,dynamic model selection can improve the model generalization performance and prediction precision of minority samples.This can be considered a promising solution for evaluating the credit risk of SMEs in SCF for financial institutions.
基金supported by grants from“2023 Research on Vocational English Curriculum Reform:‘Implementation Path of Ideological and Political Education in Vocational English Courses for Higher Vocational Education Under the New Curriculum Standards’(Grant No.WYJZW-2023GD0029)”“The Special Project of 2024 on‘Reading and Teacher Development’Under the 14th Five-Year Plan of the China Tao Xingzhi Research Association(Grant No.CTXZRA202411937GD)”.
文摘Using the“Civil Aviation Oral English”course as a case study,we operationalize the ideological and political education(IPE)integrated evaluation system for oral English courses in higher vocational education,which is based on Kirkpatrick’s Model,into a tripartite teaching evaluation system.The system encompasses three components such as learning objective attainment,individual developmental progress,and value-added competency assessment.The proposed system facilitates three-dimensional,multi-level,and scientifically validated teaching evaluation.This approach aligns with the holistic development of students’knowledge structures,professional competencies,moral qualities,and emotional intelligence.The study provides novel methodological perspectives for IPE evaluation in vocational oral English instruction,particularly in:curriculum-based ideological mapping,competency growth metrics,and value internalization assessment.
基金International Partnership Program of Chinese Academy of Sciences,No.131551KYSB20160002 National Natural Science Foundation of China,No.41401602+2 种基金 Natural Science Basic Research Plan in Shaanxi Province of China,No.2014JQ2-4021 Key Scientific and Technological Innovation Team Plan of Shaanxi Province,No.2014KCT-27 Graduate Student Innovation Project of Northwest University,No.YZZ15011
文摘In recent years, global reanalysis weather data has been widely used in hydrological modeling around the world, but the results of simulations vary greatly. To consider the applicability of Climate Forecast System Reanalysis（CFSR） data in the hydrologic simulation of watersheds, the Bahe River Basin was used as a case study. Two types of weather data（conventional weather data and CFSR weather data） were considered to establish a Soil and Water Assessment Tool（SWAT） model, which was used to simulate runoff from 2001 to 2012 in the basin at annual and monthly scales. The effect of both datasets on the simulation was assessed using regression analysis, Nash-Sutcliffe Efficiency（NSE）, and Percent Bias（PBIAS）. A CFSR weather data correction method was proposed. The main results were as follows.（1） The CFSR climate data was applicable for hydrologic simulation in the Bahe River Basin（R^2 of the simulated results above 0.50, NSE above 0.33, and ｜PBIAS｜ below 14.8. Although the quality of the CFSR weather data is not perfect, it achieved a satisfactory hydrological simulation after rainfall data correction.（2） The simulated streamflow using the CFSR data was higher than the observed streamflow, which was likely because the estimation of daily rainfall data by CFSR weather data resulted in more rainy days and stronger rainfall intensity than was actually observed. Therefore, the data simulated a higher base flow and flood peak discharge in terms of the water balance, except for some individual years.（3） The relation between the CFSR rainfall data（x） and the observed rainfall data（y） could berepresented by a power exponent equation： y=1.4789x0.8875（R2=0.98,P〈0.001）. There was a slight variation between the fitted equations for each station. The equation provides a theoretical basis for the correction of CFSR rainfall data.
基金Foundation： National Natural Science Foundation of China, No.41571199, No.41571105 Natural Science Foundation of Heilong~iang Province, No.ZD201308
文摘In this paper, we selected the middle and upper reaches of the Wuyuer River basin in the black soil region of Northeast China as the study area. We adopted the soil and water integrated model （SWIM） and evaluated the parameter sensitivity using partial correlation coefficient. We calibrated and validated our simulation results based on the daily runoff data from Yi＇an hydrological station at the outlet of the river basin and the evaporation data re- corded by various weather stations from 1961 to 1997. Following evaluation of the modeling data against the observed data, we present the applicability of SWIM in the river basin of the black soil region, and discuss the resulting errors and their probable causes. Results show that in the periods of calibration and validation, the Nash-Sutcliffe efficiency （NSE） coeffi- cients of the monthly and daily runoffs were not less than 0.71 and 0.55, and the relative er- rors were less than 6.0%. Compared to daily runoffs, the simulation result of monthly runoffs was better. Additionally, the NSE coefficients of the potential monthly evaporation were not less than 0.81. Together, the results suggest that the calibrated SWIM can be utilized in various simulation analyses of runoffs on a monthly scale in the black soil region of Northeast China. On the contrary, the model had some limitations in simulating runoffs from snowmelt and frozen soil. Meanwhile, the stimulation data deviated from the measured data largely when applied to the years with spring and summer floods. The simulated annual runoffs were considerably higher than the measured data in the years with abrupt increases in annual precipitation. However, the model is capable of reproducing the changes in runoffs during flood seasons. In summary, this model can provide fundamental hydrological information for comprehensive management of the Wuyuer River basin water environment, and its applica- tion can be potentially extended to other river basins in the black soil region.
文摘The actual sound environment system exhibits various types of linear and non-linear characteristics, and it often contains uncertainty. Furthermore, the observations in the sound environment are often in the level-quantized form. In this paper, two types of methods for estimating the specific signal for sound envi-ronment systems with uncertainty and the quantized observation are proposed by introducing newly a system model of the conditional probability type and moment statistics of fuzzy events. The effectiveness of the proposed theoretical methods is confirmed by applying them to the actual problem of psychological evalua-tion for the sound environment.
基金Supported by the China National Science and Technology Major Project(2016ZX05050 2017ZX05013-004)
文摘Based on the previous studies and development practice in recent 10 years, a quantitative evaluation method for the adaptability of well patterns to ultra-low permeability reservoirs was established using cluster analysis and gray correlation method, and it includes 10 evaluation parameters in the four aspects of optimal evaluation parameters, determination of weights for evaluation parameters, development stage division, and determination of classification coefficients. This evaluation method was used to evaluate the well pattern adaptability of 13 main ultra-low permeability reservoirs in Triassic Chang 6 and Chang 8 of Ordos Basin. Three basic understandings were obtained: Firstly, the well pattern for ultra-low permeability type-I reservoirs has generally good adaptability, with proper well pattern forms and well pattern parameters. Secondly, square inverted nine-spot well pattern is suitable for reservoirs with no fractures; rhombic inverted nine-spot injection pattern is suitable for reservoirs with some fractures; and rectangular well pattern is suitable for reservoirs with rich fractures. Thirdly, for the ultra-low permeability type-Ⅱ and type-Ⅲ reservoirs, with the principles of well pattern form determination, the row spacing needs to be optimized further to improve the level of development of such reservoirs.
文摘Six types of runoff plots were set up and an experimental study was carried out to examine natural rate of soil and water loss in the granite gneiss region of northern Jiangsu Province in China. Through correlation analysis of runoff and soil loss during 364 rainfall events, a simplified and convenient mathematical formula suitable for calculating the rainfall erosivity factor （R） for the local region was established. Other factors of the universal soil loss equation （USLE model） were also determined. Relative error analysis of the soil loss of various plots calculated by the USLE model on the basis of the observed values showed that the relative error ranged from -3.5% to 9.9% and the confidence level was more than 90%. In addition, the relative error was 5.64% for the terraced field and 12.36% for the sloping field in the practical application. Thus, the confidence level was above 87.64%. These results provide a scientific basis for forecasting and monitoring soil and water loss, for comprehensive management of small watersheds, and for soil and water conservation planning in the region.
基金supported by the National Key Research and Development Program of China(2023YFC3206300)the National Natural Science Foundation of China(42477529,42371145,42261026)+2 种基金the China-Pakistan Joint Program of the Chinese Academy of Sciences(046GJHZ2023069MI)the Gansu Provincial Science and Technology Program(22ZD6FA005)the National Cryosphere Desert Data Center(E01Z790201).
文摘Precipitation plays a crucial role in the water cycle of Northwest China.Obtaining accurate precipitation data is crucial for regional water resource management,hydrological forecasting,flood control and drought relief.Currently,the applicability of multi-source precipitation products for long time series in Northwest China has not been thoroughly evaluated.In this study,precipitation data from 183 meteorological stations in Northwest China from 1979 to 2020 were selected to assess the regional applicability of four precipitation products(the fifth generation of European Centre for Medium-Range Weather Forecasts(ECMWF)atmospheric reanalysis of the global climate(ERA5),Global Precipitation Climatology Centre(GPCC),Climatic Research Unit gridded Time Series Version 4.07(CRU TS v4.07,hereafter CRU),and Tropical Rainfall Measuring Mission(TRMM))based on the following statistical indicators:correlation coefficient,root mean square error(RMSE),relative bias(RB),mean absolute error(MAE),probability of detection(POD),false alarm ratio(FAR),and equitable threat score(ETS).The results showed that precipitation in Northwest China was generally high in the east and low in the west,and exhibited an increasing trend from 1979 to 2020.Compared with the station observations,ERA5 showed a larger spatial distribution difference than the other products.The overall overestimation of multi-year average precipitation was approximately 200.00 mm and the degree of overestimation increased with increasing precipitation intensity.The multi-year average precipitation of GPCC and CRU was relatively close to that of station observations.The trend of annual precipitation of TRMM was overestimated in high-altitude regions and the eastern part of Lanzhou with more precipitation.At the monthly scale,GPCC performed well but underestimated precipitation in the Tarim Basin(RB=-4.11%),while ERA5 and TRMM exhibited poor accuracy in high-altitude regions.ERA5 had a large bias(RB≥120.00%)in winter months and a strong dispersion(RMSE≥35.00 mm)in summer months.TRMM showed a relatively low correlation with station observations in winter months(correlation coefficients≤0.70).The capture performance analysis showed that ERA5,GPCC,and TRMM had lower POD and ETS values and higher FAR values in Northwest China as the precipitation intensity increased.ERA5 showed a high capture performance for small precipitation events and a slower decreasing trend of POD as the precipitation intensity increased.GPCC had the lowest FAR values.TRMM was statistically ineffective for predicting the occurrence of daily precipitation events.The findings provide a reference for data users to select appropriate datasets in Northwest China and for data developers to develop new precipitation products in the future.
基金Sponsored by the Key Projects of the National Science & Technology Pillar Program in the Eleventh Five-year Plan Period (Grant No.2006BAJ18B01)
文摘Sixty indexes, ranging from social development and economy increasing to ecological protection and transportation system construction, are chosen to construct an index system of adaptability evaluation on transportation system and urban development. A synthesis model with nonlinear characteristic is proposed, and the corresponding procedure is presented based on an improved AHP model, which utilizes the SVD method to improve the required precision of matrix with acceptable consistency weight and detect and amend the significant elements via distance and proximity so as to improve the whole consistency. Taking Shandong Province for the case study, experimental results indicate that the adaptability degree of the system is in an increasing state, which provides robust and effective support for decision-makers working on a range of problems and in various circumstances.
文摘In view of the current situation of aging, functional decline and protection difficulties in historic blocks, the feasibility of commercial regeneration is discussed. Referring to the relevant theories of protection and renewal of historic blocks, field investigation and expert consultation, fuzzy evaluation method and analytic hierarchy process are introduced to carry out a research study on the spatial adaptability of historic blocks for commercial regeneration and establish a preliminary evaluation system. An example of Dongguan Street Historic Block in Dalian is used to test the evaluation system. This provides a basis for the formulation of commercial regeneration strategy in the next stage.
基金Supported by Science and Technology Research(Guidance)Program of Education Department of Heilongjiang Province(11544002)~~
文摘The paper had analyzed natural condition of Daqing Area and distribution of plants of Potentilla in Daqing,and summarized 9 varieties of Potentilla.Based on field study and plot experiment and through observation of their biological traits,7 varieties of Potentilla had been identified suitable for landscaping;and evaluation had been conducted on their landscape application from the perspective of ornament,drought resistance,cold resistance,trampling resistance,adaptability to environment,coverage,and maintenance frequency.It was considered that their ornamental effect was quite good.They had certain drought resistance and cold resistance,and strong trampling resistance.These resistances of Potentilla bifurca L.var.glabrata Lehm.and Potentilla flagellaris Willd ex Schlecht.were stronger than that of Potentilla paradoxa Nutt.and Potentilla anserina L.,and then Potentilla chinensis Ser.,Potentilla discolor Bunge.and Potentilla tanacetifolia Willd ex Schlecht.were secondary.The pattern and structure of plants of Potentilla were coordinated and unified with the environment.The coverage of P.anserina L.,P.flagellaris Willd ex Schlecht.,and P.bifurca L.var.glabrata Lehm.was higher than that of P.paradoxa Nutt.and P.Tanacetifolia Willd ex Schlecht.and P.discolor Bunge..Plants of Potentilla didn't need to be maintained by men and they were ideal landscaping plants.On this basis,it had proposed suggestions on protection and development of landscaping plants of Potentilla in Daqing City.
文摘Teaching materials are quite important for teachers and students.Students only pay attention to interesting materials which can be counted good.Teachers should adapt the materials if they want to make the learning really take place and make their teaching more effective.The teaching materials in Unit 7 Weather in 21st Century Practical College English Viewing,Listening&Speaking I can be counted good.But it is not good enough and needs adapting to make it better.
基金supported by the Fundamental Research Funds for the Central Universities(No.2016QNA4012),China
文摘An online experiment to acquire the interior noise of a China Railways High-speed （CRH） train showed that it wasmainly composed of middle-low frequency components and could not be described properly by linear or A-weighted soundpressure level （SPL）. Thus, the appropriate way to evaluate the high-speed train interior noise is to use sound quality parameters,and the most important is loudness. To overcome the disadvantages of the existing loudness algorithms, a novel signal-adaptiveMoore loudness algorithm （AMLA） based on the equivalent rectangular bandwidth （ERB） spectrum was introduced. The valida-tion reveals that AMLA can obtain higher accuracy and efficiency, and the simulated dark red noise conforms best to thehigh-speed train interior noise by loudness and auditory assessment. The main loudness component of the interior noise is below27.6 ERB rate （erbr）, and the sound quality of the interior noise is relatively stable between 300-350 km/h. The specific loudnesscomponents among 12-15 erbr stay invariable throughout the acceleration or deceleration process while components among20-27 erbr are evidently speed related. The unusual random noise is effectively identified, which indicates that AMLA is anappropriate method for sound quality assessment of the high-speed train under both steady and transient conditions.
文摘Livestock is traditionally managed in mixed crop-livestock production systems in Sud-Kivu, D. R. Congo. Currently, livestock production is facing numerous constraints due to wars and insecurity in the country, with looting of animals, demographic pressure on natural resources, and lack of extension services. Multipurpose trees and shrubs with adequate forage quality could help overcome dry-season feed shortage. The objective of this research was to assess the agro-ecological adaptability of selected forage tree and shrub legumes combined with farmer participatory evaluation. The study was carried out at two distinct mid-altitude sites in Sud-Kivu. Trees and shrubs were planted randomly in eleven lines, with each species/accession consisting of nine plants split into three replications. Following a standardization cut after one year of growth, regular biomass harvests were performed every eight weeks during one year;Desmodium and Flemingia were cut at 0.5 m above soil surface, while Leucaena and Calliandra at 1 m. Before every harvest, plant height was measured and number of stems counted. Fresh leaf and stem biomass were weighted, sub samples dried and leaves analyzed for nutritive value. Results from agronomic evaluation show that Leucaena diversifolia ILRI 15551 and Leucaena leucocephala had the highest yield in the rainy season on fertile soil;during dry season, Leucaena diversifolia ILRI 15551 was superior. On poor soil, Flemingia macrophylla CIAT 17403 performed best in both seasons, however, its forage quality was relatively low. Forage tree and shrub legumes chosen by farmers were, in general, the same as those superior ones in agronomic evaluation.
