Accurate evaluation of disease levels in wild rice germplasm and identification of disease resistance are critical for developing rice varieties resistant to blast disease.However,existing evaluation methods face limi...Accurate evaluation of disease levels in wild rice germplasm and identification of disease resistance are critical for developing rice varieties resistant to blast disease.However,existing evaluation methods face limitations that hinder progress in breeding.To address these challenges,we proposed an AI-powered method for evaluating blast disease levels and identifying resistance in wild rice.A lightweight segmentation model for diseased leaves and lesions was developed,incorporating an improved federated learning approach to enhance robustness and adaptability.Based on the segmentation results and resistance identification technical specifications,wild rice materials were evaluated into 10 disease levels(L0 to L9),further enabling disease-resistance identification through multiple replicates of the same materials.The method was successfully implemented on augmented reality glasses for real-time,first-person evaluation.Additionally,high-speed scanners and edge computing devices were integrated to enable continuous,precise,and dynamic evaluation.Experimental results demonstrate the outstanding performance of the proposed method,achieving effective segmentation of diseased leaves and lesions with only 0.22 M parameters and 5.3 G floating-point operations per second(FLOPs),with a mean average precision(mAP@0.5)of 96.3%.The accuracy of disease level evaluation and disease-resistance identification reached 99.7%,with a practical test accuracy of 99.0%,successfully identifying three highly resistant wild rice materials.This method provides strong technical support for efficiently identifying wild rice materials resistant to blast disease and advancing resistance breeding efforts.展开更多
For a long time,Chinese construction industry has had disadvantages such as waste of resources,environmental pollution,long construction period,great influence by weather,low enterprise efficiency and poor benefit.Whi...For a long time,Chinese construction industry has had disadvantages such as waste of resources,environmental pollution,long construction period,great influence by weather,low enterprise efficiency and poor benefit.While being able to solve the disadvantages of traditional buildings,prefabricated buildings,as an important starting point to achieve the carbon peaking and carbon neutrality goals,are far superior to traditional buildings in green and low-carbon,energy conservation and emission reduction,which can accelerate the transformation and upgrading of the construction industry.In recent years,the government has vigorously promoted prefabricated buildings,but the implementation of prefabricated buildings has been frequently hindered and the development of prefabricated buildings in China has not achieve the expected goal in many aspects.Under the high-quality development strategy proposed by the central government,how to promote the high-quality development of prefabricated buildings in China is one of the key difficulties of Chinese construction industry in the future.Therefore,it is necessary to proceed from the connotation of the high-quality development of prefabricated buildings,establish an evaluation model for the high-quality development level of prefabricated buildings through AHP and comprehensive fuzzy evaluation to master the high-quality development level of prefabricated buildings in China,and explore the reasonable paths selection forthe high-quality development of prefabricated buildings in China.展开更多
Based on fully understanding the significance of farmer training,this paper builds the evaluation index system for farmer training satisfaction level. Then this paper employs the field survey data about Yichang and Ji...Based on fully understanding the significance of farmer training,this paper builds the evaluation index system for farmer training satisfaction level. Then this paper employs the field survey data about Yichang and Jingzhou in Hubei Province to evaluate the farmer training satisfaction level in Hubei Province. Results show that farmers have high level of satisfaction on agricultural training in Hubei Province,and the average satisfaction level reaches 0. 8556; there are regional differences in the farmer training satisfaction level in Hubei Province; the index weight is not entirely directly proportional to the training satisfaction level in the evaluation index system. Finally,from training courses,training teachers,training organization and follow-up services,this paper brings forward the recommendations for improving farmer training satisfaction level in Hubei Province,improve farmer training system,further improve the effectiveness of training and promote farmers' quality.展开更多
According to basic connotation and design principles of ecocity, a comparatively integrated index system is constructed in the paper. And at the same time using hierarchy grey comprehensive evaluation method, a hierar...According to basic connotation and design principles of ecocity, a comparatively integrated index system is constructed in the paper. And at the same time using hierarchy grey comprehensive evaluation method, a hierarchy grey comprehensive evaluation model of ecocity is established, then on the basis of the model, a comprehensive evaluation support system is developed, and the theoretical guidance supplied for construction of ecocity is provided.展开更多
In this manuscript,the theory of complex T-spherical dual hesitant uncertain linguistic set is discovered,which is the mixture of three different ideas like the complex T-spherical fuzzy set,dual hesitant fuzzy set,an...In this manuscript,the theory of complex T-spherical dual hesitant uncertain linguistic set is discovered,which is the mixture of three different ideas like the complex T-spherical fuzzy set,dual hesitant fuzzy set,and uncertain linguistic set.The complex T-spherical dual hesitant uncertain linguistic set composes the uncertain linguistic set,truth grade,abstinence grade,and falsity grade.Whose real and imaginary parts are the subset of a unit interval,and some of their operational laws are also presented.The theory of complex T-spherical dual hesitant uncertain linguistic Muirhead mean operator,complex T-spherical dual hesitant uncertain linguistic weighted Muirhead mean operator,complex T-spherical dual hesitant uncertain linguistic dual Muirhead mean operator and complex T-spherical dual hesitant uncertain linguistic weighted dual Muirhead mean operator are discovered.Some exceptional cases of the proposed operators are also examined.A multi-attribute decision making technique is further utilized based on explored operators.Moreover,an enterprise informatization level evaluation issue is resolved by using the presented operators to verify the proficiency and capability of the discovered approaches.Finally,some comparative analysis and advantages of the explored works are further developed to express that it is more flexible and effective than the existing methods.展开更多
Exosomes(Exos)are emerging as noninvasive biomarkers for diagnosis and progression monitoring of gastric cancer(GC).However,the heterogeneity discrimination and ultrasensitive quantification of Exos presents a conside...Exosomes(Exos)are emerging as noninvasive biomarkers for diagnosis and progression monitoring of gastric cancer(GC).However,the heterogeneity discrimination and ultrasensitive quantification of Exos presents a considerable analytical challenge,thereby impeding severely their clinical application.Herein,we propose an integrated terahertz metasensing platform for the discrimination of Exos in distinct subtypes of GC in a single step—through the simultaneous evaluation of the category and richness level of Exos membrane proteins.Characterized by dual-sided independent sensing capabilities with enhanced sensitivity(169 and 325 GHz per refractive index unit,respectively),the metasensor functionalized with antibodies simultaneously reflects the content of 2 membrane proteins in the terahertz spectral response.Our approach concurrently completes accurate differentiation and precise quantification of GC-subtype Exos by integrating dual-sided sensing information in merely a single assay.The dual-sided sensing design enhances the reliability of detection results.Moreover,combined with the signal amplification of gold nanoparticles,the platform experimentally demonstrates a superior dynamic response to Exos concentrations spanning from 1×10^(4)to 1×10^(8)particles/ml,with the limit of detection being 1×10^(4)particles/ml.This work provides new insights into multisensing metasurface design and paves the way for precise and personalized cancer treatment through the specific sensing of Exos.展开更多
As China will change from a large industrial power into a strong industrial power in the 21stcentury, theinevitabledemand isfor industrialmodernization. Thispaperputs forward three criteria for judging the degree of r...As China will change from a large industrial power into a strong industrial power in the 21stcentury, theinevitabledemand isfor industrialmodernization. Thispaperputs forward three criteria for judging the degree of realization of industrialmodernization: industrial growth efficiency, industrial structure and industrial environment. Together with these, it constructsan indicatorsystem and indicesforevaluating thelevelofindustrialmodernization, and uses this indicator system to evaluate the level of China’s industrial modernization at theturn ofthecentury. TheresultingcomprehensiveindexofChina’sindustrialmodernization is28.72. This indicatesthat, through the rapid industrialization which hastaken place over more than 20 years of reform and opening up, China has commenced its industrial modernization, which is now in the primarystage of development. Thecore of thestrategy forfurther development should be to accelerate the process of industrial modernization.展开更多
The optimization investment policy decision of SCM-supply chain management-implementation has been analysed under symmetric and asymmetric information conditions.For both conditions,SCM implementation optional decisio...The optimization investment policy decision of SCM-supply chain management-implementation has been analysed under symmetric and asymmetric information conditions.For both conditions,SCM implementation optional decision optimizing models have been developed.In these models,both clients and vendors try to pursue their own benefits.Based upon the principal-agent theory,the models show to what extent a principal(a client)needs to pay more to an agent(a vendor)in a context of asymmetric information.For the client it is important to understand the extra costs to be able to adopt effective strategies to stimulate a vendor to perform an optimal implementation of a SCM system.The results of a simulation experiment regarding SCM implementation options illustrate and verify the theoretical findings and confirm the general notion that the less informed party is obliged to pay information rent to the better-informed party.展开更多
基金supported by the National Key Research and Development Program of China(Grant Nos.2022YFF0711805,2022YFF0711801,and 2021YFF0704204)the Project of Sanya Yazhou Bay Science and Technology City,China(Grant No.SCKJ-JYRC-2023-45)+3 种基金the National Natural Science Foundation of China(Grant Nos.31971792 and 32160421)the Innovation Project of the Chinese Academy of Agricultural Sciences(CAAS)(Grant Nos.CAAS-ASTIP-2024-AII and ZDXM23011)the Special Fund of Chinese Central Government for Basic Scientific Research Operations in Commonweal Research Institutes(Grant No.JBYW-AII-2024-05)the Nanfan Special Project,CAAS,China(Grant No.YBXM2312).
文摘Accurate evaluation of disease levels in wild rice germplasm and identification of disease resistance are critical for developing rice varieties resistant to blast disease.However,existing evaluation methods face limitations that hinder progress in breeding.To address these challenges,we proposed an AI-powered method for evaluating blast disease levels and identifying resistance in wild rice.A lightweight segmentation model for diseased leaves and lesions was developed,incorporating an improved federated learning approach to enhance robustness and adaptability.Based on the segmentation results and resistance identification technical specifications,wild rice materials were evaluated into 10 disease levels(L0 to L9),further enabling disease-resistance identification through multiple replicates of the same materials.The method was successfully implemented on augmented reality glasses for real-time,first-person evaluation.Additionally,high-speed scanners and edge computing devices were integrated to enable continuous,precise,and dynamic evaluation.Experimental results demonstrate the outstanding performance of the proposed method,achieving effective segmentation of diseased leaves and lesions with only 0.22 M parameters and 5.3 G floating-point operations per second(FLOPs),with a mean average precision(mAP@0.5)of 96.3%.The accuracy of disease level evaluation and disease-resistance identification reached 99.7%,with a practical test accuracy of 99.0%,successfully identifying three highly resistant wild rice materials.This method provides strong technical support for efficiently identifying wild rice materials resistant to blast disease and advancing resistance breeding efforts.
文摘For a long time,Chinese construction industry has had disadvantages such as waste of resources,environmental pollution,long construction period,great influence by weather,low enterprise efficiency and poor benefit.While being able to solve the disadvantages of traditional buildings,prefabricated buildings,as an important starting point to achieve the carbon peaking and carbon neutrality goals,are far superior to traditional buildings in green and low-carbon,energy conservation and emission reduction,which can accelerate the transformation and upgrading of the construction industry.In recent years,the government has vigorously promoted prefabricated buildings,but the implementation of prefabricated buildings has been frequently hindered and the development of prefabricated buildings in China has not achieve the expected goal in many aspects.Under the high-quality development strategy proposed by the central government,how to promote the high-quality development of prefabricated buildings in China is one of the key difficulties of Chinese construction industry in the future.Therefore,it is necessary to proceed from the connotation of the high-quality development of prefabricated buildings,establish an evaluation model for the high-quality development level of prefabricated buildings through AHP and comprehensive fuzzy evaluation to master the high-quality development level of prefabricated buildings in China,and explore the reasonable paths selection forthe high-quality development of prefabricated buildings in China.
基金Supported by Graduate Education Innovation Program of Zhongnan University of Economics and Law(2016Y1054)
文摘Based on fully understanding the significance of farmer training,this paper builds the evaluation index system for farmer training satisfaction level. Then this paper employs the field survey data about Yichang and Jingzhou in Hubei Province to evaluate the farmer training satisfaction level in Hubei Province. Results show that farmers have high level of satisfaction on agricultural training in Hubei Province,and the average satisfaction level reaches 0. 8556; there are regional differences in the farmer training satisfaction level in Hubei Province; the index weight is not entirely directly proportional to the training satisfaction level in the evaluation index system. Finally,from training courses,training teachers,training organization and follow-up services,this paper brings forward the recommendations for improving farmer training satisfaction level in Hubei Province,improve farmer training system,further improve the effectiveness of training and promote farmers' quality.
文摘According to basic connotation and design principles of ecocity, a comparatively integrated index system is constructed in the paper. And at the same time using hierarchy grey comprehensive evaluation method, a hierarchy grey comprehensive evaluation model of ecocity is established, then on the basis of the model, a comprehensive evaluation support system is developed, and the theoretical guidance supplied for construction of ecocity is provided.
基金This work is supported by the the Social Sciences Planning Projects of Zhejiang(21QNYC11ZD)Major Humanities and Social Sciences Research Projects in Zhejiang Universities(2018QN058)+2 种基金Statistical Scientific Key Research Project of China(2021LZ33)Fun-damental Research Funds for the Provincial Universities of Zhejiang(SJWZ2020002),Longyuan Construction Financial Research Project of Ningbo University(LYYB2002)the First Class Discipline of Zhejiang-A(Zhejiang Gongshang University Statistics).
文摘In this manuscript,the theory of complex T-spherical dual hesitant uncertain linguistic set is discovered,which is the mixture of three different ideas like the complex T-spherical fuzzy set,dual hesitant fuzzy set,and uncertain linguistic set.The complex T-spherical dual hesitant uncertain linguistic set composes the uncertain linguistic set,truth grade,abstinence grade,and falsity grade.Whose real and imaginary parts are the subset of a unit interval,and some of their operational laws are also presented.The theory of complex T-spherical dual hesitant uncertain linguistic Muirhead mean operator,complex T-spherical dual hesitant uncertain linguistic weighted Muirhead mean operator,complex T-spherical dual hesitant uncertain linguistic dual Muirhead mean operator and complex T-spherical dual hesitant uncertain linguistic weighted dual Muirhead mean operator are discovered.Some exceptional cases of the proposed operators are also examined.A multi-attribute decision making technique is further utilized based on explored operators.Moreover,an enterprise informatization level evaluation issue is resolved by using the presented operators to verify the proficiency and capability of the discovered approaches.Finally,some comparative analysis and advantages of the explored works are further developed to express that it is more flexible and effective than the existing methods.
基金supported by the Young Scientists Fund of the National Natural Science Foundation of China(Grant Nos.62401629 and 12304354).
文摘Exosomes(Exos)are emerging as noninvasive biomarkers for diagnosis and progression monitoring of gastric cancer(GC).However,the heterogeneity discrimination and ultrasensitive quantification of Exos presents a considerable analytical challenge,thereby impeding severely their clinical application.Herein,we propose an integrated terahertz metasensing platform for the discrimination of Exos in distinct subtypes of GC in a single step—through the simultaneous evaluation of the category and richness level of Exos membrane proteins.Characterized by dual-sided independent sensing capabilities with enhanced sensitivity(169 and 325 GHz per refractive index unit,respectively),the metasensor functionalized with antibodies simultaneously reflects the content of 2 membrane proteins in the terahertz spectral response.Our approach concurrently completes accurate differentiation and precise quantification of GC-subtype Exos by integrating dual-sided sensing information in merely a single assay.The dual-sided sensing design enhances the reliability of detection results.Moreover,combined with the signal amplification of gold nanoparticles,the platform experimentally demonstrates a superior dynamic response to Exos concentrations spanning from 1×10^(4)to 1×10^(8)particles/ml,with the limit of detection being 1×10^(4)particles/ml.This work provides new insights into multisensing metasurface design and paves the way for precise and personalized cancer treatment through the specific sensing of Exos.
基金The paper is based on the word under the Chinese Academy of Social Sciences major research projict "Strdy of the Interaction of Industrialization , Industrialization and Industrial Modernization"
文摘As China will change from a large industrial power into a strong industrial power in the 21stcentury, theinevitabledemand isfor industrialmodernization. Thispaperputs forward three criteria for judging the degree of realization of industrialmodernization: industrial growth efficiency, industrial structure and industrial environment. Together with these, it constructsan indicatorsystem and indicesforevaluating thelevelofindustrialmodernization, and uses this indicator system to evaluate the level of China’s industrial modernization at theturn ofthecentury. TheresultingcomprehensiveindexofChina’sindustrialmodernization is28.72. This indicatesthat, through the rapid industrialization which hastaken place over more than 20 years of reform and opening up, China has commenced its industrial modernization, which is now in the primarystage of development. Thecore of thestrategy forfurther development should be to accelerate the process of industrial modernization.
基金Supported by the Social Science Foundation of China(18BJL017)the Natural Science Foundation of Liaoning Science and Technology Bureau(20170540439)
文摘The optimization investment policy decision of SCM-supply chain management-implementation has been analysed under symmetric and asymmetric information conditions.For both conditions,SCM implementation optional decision optimizing models have been developed.In these models,both clients and vendors try to pursue their own benefits.Based upon the principal-agent theory,the models show to what extent a principal(a client)needs to pay more to an agent(a vendor)in a context of asymmetric information.For the client it is important to understand the extra costs to be able to adopt effective strategies to stimulate a vendor to perform an optimal implementation of a SCM system.The results of a simulation experiment regarding SCM implementation options illustrate and verify the theoretical findings and confirm the general notion that the less informed party is obliged to pay information rent to the better-informed party.
