Digital watermarking technology plays an important role in detecting malicious tampering and protecting image copyright.However,in practical applications,this technology faces various problems such as severe image dis...Digital watermarking technology plays an important role in detecting malicious tampering and protecting image copyright.However,in practical applications,this technology faces various problems such as severe image distortion,inaccurate localization of the tampered regions,and difficulty in recovering content.Given these shortcomings,a fragile image watermarking algorithm for tampering blind-detection and content self-recovery is proposed.The multi-feature watermarking authentication code(AC)is constructed using texture feature of local binary patterns(LBP),direct coefficient of discrete cosine transform(DCT)and contrast feature of gray level co-occurrence matrix(GLCM)for detecting the tampered region,and the recovery code(RC)is designed according to the average grayscale value of pixels in image blocks for recovering the tampered content.Optimal pixel adjustment process(OPAP)and least significant bit(LSB)algorithms are used to embed the recovery code and authentication code into the image in a staggered manner.When detecting the integrity of the image,the authentication code comparison method and threshold judgment method are used to perform two rounds of tampering detection on the image and blindly recover the tampered content.Experimental results show that this algorithm has good transparency,strong and blind detection,and self-recovery performance against four types of malicious attacks and some conventional signal processing operations.When resisting copy-paste,text addition,cropping and vector quantization under the tampering rate(TR)10%,the average tampering detection rate is up to 94.09%,and the peak signal-to-noise ratio(PSNR)of the watermarked image and the recovered image are both greater than 41.47 and 40.31 dB,which demonstrates its excellent advantages compared with other related algorithms in recent years.展开更多
In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The e...In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The essence of cross-view geo-localization resides in matching images containing the same geographical targets from disparate platforms,such as UAV-view and satellite-view images.However,images of the same geographical targets may suffer from occlusions and geometric distortions due to variations in the capturing platform,view,and timing.The existing methods predominantly extract features by segmenting feature maps,which overlook the holistic semantic distribution and structural information of objects,resulting in loss of image information.To address these challenges,dilated neighborhood attention Transformer is employed as the feature extraction backbone,and Multi-feature representations based on Multi-scale Hierarchical Contextual Aggregation(MMHCA)is proposed.In the proposed MMHCA method,the multiscale hierarchical contextual aggregation method is utilized to extract contextual information from local to global across various granularity levels,establishing feature associations of contextual information with global and local information in the image.Subsequently,the multi-feature representations method is utilized to obtain rich discriminative feature information,bolstering the robustness of model in scenarios characterized by positional shifts,varying distances,and scale ambiguities.Comprehensive experiments conducted on the extensively utilized University-1652 and SUES-200 benchmarks indicate that the MMHCA method surpasses the existing techniques.showing outstanding results in UAV localization and navigation.展开更多
Objective:To analyze the burden of caregivers of CHF patients in the current environment,to explore the related burden and influencing factors of caring for patients with chronic heart failure,and to explore the impac...Objective:To analyze the burden of caregivers of CHF patients in the current environment,to explore the related burden and influencing factors of caring for patients with chronic heart failure,and to explore the impact of filial piety values on the burden of caring for patients.Methods:192 caregivers of CHF patients in the hospital were selected as the main objects of this study.The main method was convenient sampling.Through a questionnaire survey of 192 CHF patients'caregivers,a unified investigation was conducted from the aspects of patient"'s general condition,objective burden,anxiety and depression degree and relationship quality,etc.The structural equation model was constructed and adjusted by analyzing data entry and variable correlation.Finally,path analysis was used to conduct inferential research on the direct and indirect influencing factors of control burden.Results:More than half of the patients'caregivers had a caregiving burden,and the practical caregiving dimension had the highest score.The total effect values of patient-related factors,including anxiety degree,number of concomitant diseases and half-year readmission rate,were 0.36,0.31 and 0.20,respectively(P<0.05).The total effect values of filial piety,anxiety degree,average care time and understanding degree of disease directly derived from the caregivers themselves were-0.38,0.29,0.29 and-0.23,respectively(P<0.05).In addition,the influence of filial piety values on the caregiver burden was more obvious,and the direct effect value of the value was-0.41(P<0.001).Conclusion:Most caregivers of CHF patients have a certain objective burden of care,and there are many factors that affect it,among which the degree of filial piety value is the most important.This finding provides a clear goal for caregivers to develop measures to improve the caregiver burden.展开更多
Medical isotopes are the foundation material for nuclear medicine and are primarily produced through in-reactor irradia-tion.Neutron spectrum regulation is the main technical approach for enhancing the production of m...Medical isotopes are the foundation material for nuclear medicine and are primarily produced through in-reactor irradia-tion.Neutron spectrum regulation is the main technical approach for enhancing the production of medical isotopes,and it requires determining the optimal neutron spectrum and quantifying the values of neutrons in different energy regions.We calculated the neutron energy region values for 20 medical isotopes(^(14)C,^(32)P,^(47)Sc,^(60)Co,^(64)Cu,^(67)Cu,^(89)Sr,^(90)Y,^(99)Mo,^(125)I,^(131)I,^(153)Sm,^(161)Tb,^(166)Ho,^(177)Lu,^(186)Re,^(188)Re,^(92)Ir,^(225)Ac,and ^(252)Cf).The entire energy range was divided into 238 energy regions to improve the energy spectrum resolution,and both fast and thermal reactors were simulated to enhance universal applicability.A dataset of neutron energy region values across the entire energy range was built,which identifies the positive and negative-energy regions and guides the neutron spectrum regulation process during in-reactor medical isotope produc-tion.We conducted neutron spectrum regulation based on this dataset,which effectively improved the production efficiency of medical isotopes and demonstrated the correctness and feasibility of the dataset.展开更多
Human well-being and livelihoods depend on natural ecosystem services(ESs).Following the increment of population,ESs have been deteriorated over time.Ultimately,land use/land cover(LULC)changes have a profound impact ...Human well-being and livelihoods depend on natural ecosystem services(ESs).Following the increment of population,ESs have been deteriorated over time.Ultimately,land use/land cover(LULC)changes have a profound impact on the change of ecosystem.The primary goal of this study is to determine the impacts of LULC changes on ecosystem service values(ESVs)in the upper Gilgel Abbay watershed,Ethiopia.Changes in LULC types were studied using three Landsat images representing 1986,2003,and 2021.The Landsat images were classified using a supervised image classification technique in Earth Resources Data Analysis System(ERDAS)Imagine 2014.We classified ESs in this study into four categories(including provisioning,regulating,supporting,and cultural services)based on global ES classification scheme.The adjusted ESV coefficient benefit approach was employed to measure the impacts of LULC changes on ESVs.Five LULC types were identified in this study,including cultivated land,forest,shrubland,grassland,and water body.The result revealed that the area of cultivated land accounted for 64.50%,71.50%,and 61.50%of the total area in 1986,2003,and 2021,respectively.The percentage of the total area covered by forest was 9.50%,5.90%,and 14.80%in 1986,2003,and 2021,respectively.Result revealed that the total ESV decreased from 7.42×10^(7) to 6.44×10^(7) USD between 1986 and 2003.This is due to the expansion of cultivated land at the expense of forest and shrubland.However,the total ESV increased from 6.44×10^(7) to 7.76×10^(7) USD during 2003-2021,because of the increment of forest and shrubland.The expansion of cultivated land and the reductions of forest and shrubland reduced most individual ESs during 1986-2003.Nevertheless,the increase in forest and shrubland at the expense of cultivated land enhanced many ESs during 2003-2021.Therefore,the findings suggest that appropriate land use practices should be scaled-up to sustainably maintain ESs.展开更多
This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data a...This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data and historical academic performance)with dynamic behavioral patterns(e.g.,real-time interactions and evolving interests over time).The research employs Term Frequency-Inverse Document Frequency(TF-IDF)for semantic feature extraction,integrates the Analytic Hierarchy Process(AHP)for feature weighting,and introduces a time decay function inspired by Newton’s law of cooling to dynamically model changes in learners’interests.Empirical results demonstrate that this framework effectively captures the dynamic evolution of learners’behaviors and provides context-aware learning resource recommendations.The study introduces a novel paradigm for learner modeling in educational technology,combining methodological innovation with a scalable technical architecture,thereby laying a foundation for the development of adaptive learning systems.展开更多
The traditional EnFCM(Enhanced fuzzy C-means)algorithm only considers the grey-scale features in image segmentation,resulting in less than satisfactory results when the algorithm is used for remote sensing woodland im...The traditional EnFCM(Enhanced fuzzy C-means)algorithm only considers the grey-scale features in image segmentation,resulting in less than satisfactory results when the algorithm is used for remote sensing woodland image segmentation and extraction.An EnFCM remote sensing forest land extraction method based on PCA multi-feature fusion was proposed.Firstly,histogram equalization was applied to improve the image contrast.Secondly,the texture and edge features of the image were extracted,and a multi-feature fused pixel image was generated using the PCA technique.Moreover,the fused feature was used as a feature constraint to measure the difference of pixels instead of a single grey-scale feature.Finally,an improved feature distance metric calculated the similarity between the pixel points and the cluster center to complete the cluster segmentation.The experimental results showed that the error was between 1.5%and 4.0%compared with the forested area counted by experts’hand-drawing,which could obtain a high accuracy segmentation and extraction result.展开更多
On the morning of May 31st,the parallel forum"Ecological Actions to Carry Forward the Shared Values of Mankind,"as part of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was held in Du...On the morning of May 31st,the parallel forum"Ecological Actions to Carry Forward the Shared Values of Mankind,"as part of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was held in Dunhuang.More than 50 experts and scholars from different countries,including China,Kenya and Japan,engaged in indepth discussions on the theme.展开更多
Values of individuals and organizations involved in decision-making processes form the basis for prioritizing outcomes in water governance.The novelty of this study lies in applying values to a specific decision-makin...Values of individuals and organizations involved in decision-making processes form the basis for prioritizing outcomes in water governance.The novelty of this study lies in applying values to a specific decision-making context.It aims to assess the prioritized water governance outcomes and the underlying value systems shaping the actions of the primary water utility responsible for water governance in Delhi,the Delhi Jal Board(DJB).The paper will critically examine the policies and acts of the DJB that drive water governance in Delhi at present,utilizing a values-based framework in conjunction with secondary literature and expert interviews,to draw a picture of the values reflected.The study does not substantiate the notion of economic values dominating the water-related deci-sions;rather,recent policy guidelines indicate prioritization of equitable and fair distribution of water.Findings of this paper show that making the values explicit is largely disregarded in formulating water acts and policies,and values are never elucidated in the public domain,doing which can encourage water policies and practices that are socially,economically,and ecologically viable in the long run.It is expected that this paper will generate a discussion on water values being an integral part of water governance discourses.展开更多
On the afternoon of May 3Oth,the parallel forum"Strengthening the Judicial Foundations of Shared Values of Mankind,"as a component of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was...On the afternoon of May 3Oth,the parallel forum"Strengthening the Judicial Foundations of Shared Values of Mankind,"as a component of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was held in Dunhuang.More than 50 experts and scholars from nine countries,including China,Germany and the United Kingdom,engaged in in-depth discussions on the topic.展开更多
This paper mainly explores the ideological roots of conflicts and wars in the international community.From a human-nature perspective,it analyzes how five negative aspects of human nature:greed,hatred,obsession,arroga...This paper mainly explores the ideological roots of conflicts and wars in the international community.From a human-nature perspective,it analyzes how five negative aspects of human nature:greed,hatred,obsession,arrogance,and suspicion,influence the foreign policies and behaviors of state leaders,resulting in international conflicts and wars.It expounds on the fundamental connotations of the core values of traditional Chinese ideology of harmony:benevolence(ren),righteousness(yi),propriety(li),wisdom(zhi),and trustworthiness(xin).Furthermore,it examines their implications for contemporary international ethics.The paper further discusses new thoughts on promoting the good in human nature and mitigating its negative tendencies within international relations,with the aim of preventing global conflicts and wars.展开更多
Let G be a simple connected graph with vertex set V(G)and edge set E(G).Then the Sombor index of graph G is defined as SO(G)=Σ_(uv∈E(G))√d^(2)(u)+d^(2)(v),where d(u)denotes the degree of vertex u.In this paper,the ...Let G be a simple connected graph with vertex set V(G)and edge set E(G).Then the Sombor index of graph G is defined as SO(G)=Σ_(uv∈E(G))√d^(2)(u)+d^(2)(v),where d(u)denotes the degree of vertex u.In this paper,the maximum and minimum values of the Sombor index for Halin graphs are obtained,and the corresponding extremal graphs are characterized.展开更多
Herein,the association between the dynamic adsorption capacity of toluene and several important characteristic values on activated carbon(AC)samples was investigated by multidimensional linear regression.Among the cha...Herein,the association between the dynamic adsorption capacity of toluene and several important characteristic values on activated carbon(AC)samples was investigated by multidimensional linear regression.Among the characteristic values,the carbon tetrachloride(CTC)adsorption value has demonstrated relatively stronger correlation with the toluene adsorption capacity on AC sampleswith diverse sources and forms,particularly in exposure to high-concentration toluene.Notably,the relevance of the toluene adsorption capacity to the CTC value could also be extended to a series of other porous adsorbents,which proved the wide applicability of CTC value in characterizing the adsorption behaviors.Based on these results,a mathematical and visual model was then established to predict the toluene adsorption saturation under different conditions(inlet concentration,adsorption time,initial CTC value,etc.)on diverse AC samples,of which the accuracy has later been verified by experimental data.As such,a fast and accurate estimation of the adsorption behaviors over AC samples,and possibly other porous adsorbents,was realized.展开更多
Background:Understanding the factors that influence adolescent psychological resilience is critical for promoting mental health.This study explores the impact and mechanism of labor values on adolescent psychological ...Background:Understanding the factors that influence adolescent psychological resilience is critical for promoting mental health.This study explores the impact and mechanism of labor values on adolescent psychological resilience from the perspective of emotion regulation theory.Methods:This study conducted an in-depth analysis using the Labor Value Scale on 2691 elementary school upper-grade students,middle school students,and high school students.Results:The results show that:(1)labor values can positively predict adolescents’mental resilience;(2)cognitive reappraisal and expression inhibition play a partial mediating role in the relationship between labor values and adolescents’psychological resilience.Among them,labor values can positively predict adolescents’mental resilience through positive cognitive reappraisal,and labor values can also predict adolescents’mental resilience through expression inhibition.Conclusion:Based on the theory of emotion regulation,this study explores the direct effect of labor values on mental resilience and the mediating effect of different strategies of emotion regulation.The results of this study provide a theoretical basis for improving the mental resilience of adolescents.展开更多
Throughout this work,we explore the uniqueness properties of meromorphic functions concerning their interactions with complex differential-difference polynomial.Under the condition of finite order,we establish three d...Throughout this work,we explore the uniqueness properties of meromorphic functions concerning their interactions with complex differential-difference polynomial.Under the condition of finite order,we establish three distinct uniqueness results for a meromorphic function f associated with the differential-difference polynomial L_(η)^(n)f=Σ_(k=0)^(n)a_(k)f (z+k_(η))+a_(-1)f′.These results lead to a refined characterization of f (z)≡L_(η)^(n)f (z).Several illustrative examples are provided to demonstrate the sharpness and precision of the results obtained in this study.展开更多
With the continuous and in-depth advancement of higher education reform,the employment issue of college graduates has become a hot topic of discussion in current colleges and universities.In order to cultivate the pro...With the continuous and in-depth advancement of higher education reform,the employment issue of college graduates has become a hot topic of discussion in current colleges and universities.In order to cultivate the professional values of college students,colleges and universities need to strengthen the implementation of policies and measures for youth employment and optimize guidance and services for employment and entrepreneurship.Guide college graduates to rationally plan their academic and career development,improve their overall employment quality and practical ability,and then closely integrate their career planning with the development of the country and society.In this regard,we will focus on“strengthening career education to guide college graduates to establish correct career values.”展开更多
The objective of the study is to examine the moderating influence of gender on the relationship between cultural values and Islamic work ethics(IWE)among Palestinian Arab high school teachers in Israel who represent a...The objective of the study is to examine the moderating influence of gender on the relationship between cultural values and Islamic work ethics(IWE)among Palestinian Arab high school teachers in Israel who represent an ethnic and religious minority within a Western-oriented framework.The study sample comprised 1,245 Arab teachers(759 females and 476 males).Data analysis was conducted using structural equation modeling with AMOS,focusing on path analysis.The research findings highlight a substantial relationship between cultural values and Islamic work ethics,with gender as a moderating variable.Additionally,the results indicate a significant positive relationship between the cultural value dimension of uncertainty avoidance and both dimensions of Islamic work ethics-dedication and social responsibility in the workplace,along with independence,diligence,and achievement.In contrast,a pronounced and significant negative relationship was identified between the cultural dimension of femininity/masculinity and these two dimensions of Islamic work ethics.展开更多
Most ground faults in distribution network are caused by insulation deterioration of power equipment.It is difficult to find the insulation deterioration of the distribution network in time,and the development trend o...Most ground faults in distribution network are caused by insulation deterioration of power equipment.It is difficult to find the insulation deterioration of the distribution network in time,and the development trend of the initial insulation fault is unknown,which brings difficulties to the distribution inspection.In order to solve the above problems,a situational awareness method of the initial insulation fault of the distribution network based on a multi-feature index comprehensive evaluation is proposed.Firstly,the insulation situation evaluation index is selected by analyzing the insulation fault mechanism of the distribution network,and the relational database of the distribution network is designed based on the data and numerical characteristics of the existing distribution management system.Secondly,considering all kinds of fault factors of the distribution network and the influence of the power supply region,the evaluation method of the initial insulation fault situation of the distribution network is proposed,and the development situation of the distribution network insulation fault is classified according to the evaluation method.Then,principal component analysis was used to reduce the dimension of the training samples and test samples of the distribution network data,and the support vector machine(SVM)was trained.The optimal parameter combination of the SVM model was found by the grid search method,and a multi-class SVM model based on 1-v-1 method was constructed.Finally,the trained multi-class SVM was used to predict 6 kinds of situation level prediction samples.The results of simulation examples show that the average prediction accuracy of 6 situation levels is above 95%,and the perception accuracy of 4 situation levels is above 96%.In addition,the insulation maintenance decision scheme under different situation levels is able to be given when no fault occurs or the insulation fault is in the early stage,which can meet the needs of power distribution and inspection for accurately sensing the insulation fault situation.The correctness and effectiveness of this method are verified.展开更多
基金supported by Postgraduate Research&Practice Innovation Program of Jiangsu Province,China(Grant No.SJCX24_1332)Jiangsu Province Education Science Planning Project in 2024(Grant No.B-b/2024/01/122)High-Level Talent Scientific Research Foundation of Jinling Institute of Technology,China(Grant No.jit-b-201918).
文摘Digital watermarking technology plays an important role in detecting malicious tampering and protecting image copyright.However,in practical applications,this technology faces various problems such as severe image distortion,inaccurate localization of the tampered regions,and difficulty in recovering content.Given these shortcomings,a fragile image watermarking algorithm for tampering blind-detection and content self-recovery is proposed.The multi-feature watermarking authentication code(AC)is constructed using texture feature of local binary patterns(LBP),direct coefficient of discrete cosine transform(DCT)and contrast feature of gray level co-occurrence matrix(GLCM)for detecting the tampered region,and the recovery code(RC)is designed according to the average grayscale value of pixels in image blocks for recovering the tampered content.Optimal pixel adjustment process(OPAP)and least significant bit(LSB)algorithms are used to embed the recovery code and authentication code into the image in a staggered manner.When detecting the integrity of the image,the authentication code comparison method and threshold judgment method are used to perform two rounds of tampering detection on the image and blindly recover the tampered content.Experimental results show that this algorithm has good transparency,strong and blind detection,and self-recovery performance against four types of malicious attacks and some conventional signal processing operations.When resisting copy-paste,text addition,cropping and vector quantization under the tampering rate(TR)10%,the average tampering detection rate is up to 94.09%,and the peak signal-to-noise ratio(PSNR)of the watermarked image and the recovered image are both greater than 41.47 and 40.31 dB,which demonstrates its excellent advantages compared with other related algorithms in recent years.
基金supported by the National Natural Science Foundation of China(Nos.12072027,62103052,61603346 and 62103379)the Henan Key Laboratory of General Aviation Technology,China(No.ZHKF-230201)+3 种基金the Funding for the Open Research Project of the Rotor Aerodynamics Key Laboratory,China(No.RAL20200101)the Key Research and Development Program of Henan Province,China(Nos.241111222000 and 241111222900)the Key Science and Technology Program of Henan Province,China(No.232102220067)the Scholarship Funding from the China Scholarship Council(No.202206030079).
文摘In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The essence of cross-view geo-localization resides in matching images containing the same geographical targets from disparate platforms,such as UAV-view and satellite-view images.However,images of the same geographical targets may suffer from occlusions and geometric distortions due to variations in the capturing platform,view,and timing.The existing methods predominantly extract features by segmenting feature maps,which overlook the holistic semantic distribution and structural information of objects,resulting in loss of image information.To address these challenges,dilated neighborhood attention Transformer is employed as the feature extraction backbone,and Multi-feature representations based on Multi-scale Hierarchical Contextual Aggregation(MMHCA)is proposed.In the proposed MMHCA method,the multiscale hierarchical contextual aggregation method is utilized to extract contextual information from local to global across various granularity levels,establishing feature associations of contextual information with global and local information in the image.Subsequently,the multi-feature representations method is utilized to obtain rich discriminative feature information,bolstering the robustness of model in scenarios characterized by positional shifts,varying distances,and scale ambiguities.Comprehensive experiments conducted on the extensively utilized University-1652 and SUES-200 benchmarks indicate that the MMHCA method surpasses the existing techniques.showing outstanding results in UAV localization and navigation.
文摘Objective:To analyze the burden of caregivers of CHF patients in the current environment,to explore the related burden and influencing factors of caring for patients with chronic heart failure,and to explore the impact of filial piety values on the burden of caring for patients.Methods:192 caregivers of CHF patients in the hospital were selected as the main objects of this study.The main method was convenient sampling.Through a questionnaire survey of 192 CHF patients'caregivers,a unified investigation was conducted from the aspects of patient"'s general condition,objective burden,anxiety and depression degree and relationship quality,etc.The structural equation model was constructed and adjusted by analyzing data entry and variable correlation.Finally,path analysis was used to conduct inferential research on the direct and indirect influencing factors of control burden.Results:More than half of the patients'caregivers had a caregiving burden,and the practical caregiving dimension had the highest score.The total effect values of patient-related factors,including anxiety degree,number of concomitant diseases and half-year readmission rate,were 0.36,0.31 and 0.20,respectively(P<0.05).The total effect values of filial piety,anxiety degree,average care time and understanding degree of disease directly derived from the caregivers themselves were-0.38,0.29,0.29 and-0.23,respectively(P<0.05).In addition,the influence of filial piety values on the caregiver burden was more obvious,and the direct effect value of the value was-0.41(P<0.001).Conclusion:Most caregivers of CHF patients have a certain objective burden of care,and there are many factors that affect it,among which the degree of filial piety value is the most important.This finding provides a clear goal for caregivers to develop measures to improve the caregiver burden.
基金sponsored by the National Natural Science Foundation of China(No.12305190)Lingchuang Research Project of China National Nuclear Corporation(CNNC).
文摘Medical isotopes are the foundation material for nuclear medicine and are primarily produced through in-reactor irradia-tion.Neutron spectrum regulation is the main technical approach for enhancing the production of medical isotopes,and it requires determining the optimal neutron spectrum and quantifying the values of neutrons in different energy regions.We calculated the neutron energy region values for 20 medical isotopes(^(14)C,^(32)P,^(47)Sc,^(60)Co,^(64)Cu,^(67)Cu,^(89)Sr,^(90)Y,^(99)Mo,^(125)I,^(131)I,^(153)Sm,^(161)Tb,^(166)Ho,^(177)Lu,^(186)Re,^(188)Re,^(92)Ir,^(225)Ac,and ^(252)Cf).The entire energy range was divided into 238 energy regions to improve the energy spectrum resolution,and both fast and thermal reactors were simulated to enhance universal applicability.A dataset of neutron energy region values across the entire energy range was built,which identifies the positive and negative-energy regions and guides the neutron spectrum regulation process during in-reactor medical isotope produc-tion.We conducted neutron spectrum regulation based on this dataset,which effectively improved the production efficiency of medical isotopes and demonstrated the correctness and feasibility of the dataset.
文摘Human well-being and livelihoods depend on natural ecosystem services(ESs).Following the increment of population,ESs have been deteriorated over time.Ultimately,land use/land cover(LULC)changes have a profound impact on the change of ecosystem.The primary goal of this study is to determine the impacts of LULC changes on ecosystem service values(ESVs)in the upper Gilgel Abbay watershed,Ethiopia.Changes in LULC types were studied using three Landsat images representing 1986,2003,and 2021.The Landsat images were classified using a supervised image classification technique in Earth Resources Data Analysis System(ERDAS)Imagine 2014.We classified ESs in this study into four categories(including provisioning,regulating,supporting,and cultural services)based on global ES classification scheme.The adjusted ESV coefficient benefit approach was employed to measure the impacts of LULC changes on ESVs.Five LULC types were identified in this study,including cultivated land,forest,shrubland,grassland,and water body.The result revealed that the area of cultivated land accounted for 64.50%,71.50%,and 61.50%of the total area in 1986,2003,and 2021,respectively.The percentage of the total area covered by forest was 9.50%,5.90%,and 14.80%in 1986,2003,and 2021,respectively.Result revealed that the total ESV decreased from 7.42×10^(7) to 6.44×10^(7) USD between 1986 and 2003.This is due to the expansion of cultivated land at the expense of forest and shrubland.However,the total ESV increased from 6.44×10^(7) to 7.76×10^(7) USD during 2003-2021,because of the increment of forest and shrubland.The expansion of cultivated land and the reductions of forest and shrubland reduced most individual ESs during 1986-2003.Nevertheless,the increase in forest and shrubland at the expense of cultivated land enhanced many ESs during 2003-2021.Therefore,the findings suggest that appropriate land use practices should be scaled-up to sustainably maintain ESs.
基金This work is supported by the Ministry of Education of Humanities and Social Science projects in China(No.20YJCZH124)Guangdong Province Education and Teaching Reform Project No.640:Research on the Teaching Practice and Application of Online Peer Assessment Methods in the Context of Artificial Intelligence.
文摘This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data and historical academic performance)with dynamic behavioral patterns(e.g.,real-time interactions and evolving interests over time).The research employs Term Frequency-Inverse Document Frequency(TF-IDF)for semantic feature extraction,integrates the Analytic Hierarchy Process(AHP)for feature weighting,and introduces a time decay function inspired by Newton’s law of cooling to dynamically model changes in learners’interests.Empirical results demonstrate that this framework effectively captures the dynamic evolution of learners’behaviors and provides context-aware learning resource recommendations.The study introduces a novel paradigm for learner modeling in educational technology,combining methodological innovation with a scalable technical architecture,thereby laying a foundation for the development of adaptive learning systems.
基金supported by National Natural Science Foundation of China(No.61761027)Gansu Young Doctor’s Fund for Higher Education Institutions(No.2021QB-053)。
文摘The traditional EnFCM(Enhanced fuzzy C-means)algorithm only considers the grey-scale features in image segmentation,resulting in less than satisfactory results when the algorithm is used for remote sensing woodland image segmentation and extraction.An EnFCM remote sensing forest land extraction method based on PCA multi-feature fusion was proposed.Firstly,histogram equalization was applied to improve the image contrast.Secondly,the texture and edge features of the image were extracted,and a multi-feature fused pixel image was generated using the PCA technique.Moreover,the fused feature was used as a feature constraint to measure the difference of pixels instead of a single grey-scale feature.Finally,an improved feature distance metric calculated the similarity between the pixel points and the cluster center to complete the cluster segmentation.The experimental results showed that the error was between 1.5%and 4.0%compared with the forested area counted by experts’hand-drawing,which could obtain a high accuracy segmentation and extraction result.
文摘On the morning of May 31st,the parallel forum"Ecological Actions to Carry Forward the Shared Values of Mankind,"as part of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was held in Dunhuang.More than 50 experts and scholars from different countries,including China,Kenya and Japan,engaged in indepth discussions on the theme.
基金Water Security and Sustainable Development Hub funded by the UK Research and Innovation's Global Challenges Research Fund(GCRF),Grant/Award Number:ES/S008179/1。
文摘Values of individuals and organizations involved in decision-making processes form the basis for prioritizing outcomes in water governance.The novelty of this study lies in applying values to a specific decision-making context.It aims to assess the prioritized water governance outcomes and the underlying value systems shaping the actions of the primary water utility responsible for water governance in Delhi,the Delhi Jal Board(DJB).The paper will critically examine the policies and acts of the DJB that drive water governance in Delhi at present,utilizing a values-based framework in conjunction with secondary literature and expert interviews,to draw a picture of the values reflected.The study does not substantiate the notion of economic values dominating the water-related deci-sions;rather,recent policy guidelines indicate prioritization of equitable and fair distribution of water.Findings of this paper show that making the values explicit is largely disregarded in formulating water acts and policies,and values are never elucidated in the public domain,doing which can encourage water policies and practices that are socially,economically,and ecologically viable in the long run.It is expected that this paper will generate a discussion on water values being an integral part of water governance discourses.
文摘On the afternoon of May 3Oth,the parallel forum"Strengthening the Judicial Foundations of Shared Values of Mankind,"as a component of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was held in Dunhuang.More than 50 experts and scholars from nine countries,including China,Germany and the United Kingdom,engaged in in-depth discussions on the topic.
文摘This paper mainly explores the ideological roots of conflicts and wars in the international community.From a human-nature perspective,it analyzes how five negative aspects of human nature:greed,hatred,obsession,arrogance,and suspicion,influence the foreign policies and behaviors of state leaders,resulting in international conflicts and wars.It expounds on the fundamental connotations of the core values of traditional Chinese ideology of harmony:benevolence(ren),righteousness(yi),propriety(li),wisdom(zhi),and trustworthiness(xin).Furthermore,it examines their implications for contemporary international ethics.The paper further discusses new thoughts on promoting the good in human nature and mitigating its negative tendencies within international relations,with the aim of preventing global conflicts and wars.
基金supported by the National Natural Science Foundation of China(No.12201634)the Hunan Provincial Natural Science Foundation of China(Nos.2020JJ4423,2023JJ30070)。
文摘Let G be a simple connected graph with vertex set V(G)and edge set E(G).Then the Sombor index of graph G is defined as SO(G)=Σ_(uv∈E(G))√d^(2)(u)+d^(2)(v),where d(u)denotes the degree of vertex u.In this paper,the maximum and minimum values of the Sombor index for Halin graphs are obtained,and the corresponding extremal graphs are characterized.
基金supported by the Key Research and Development Projects in Zhejiang Province(Nos.2023C03127,2024C03114,2024C03108)the Natural Science Foundation of China(Nos.22208300,22078294)+2 种基金the Natural Science Foundation of Zhejiang Province(No.LQ23B060007)the Fundamental Research Funds for the Provincial Universities of Zhejiang(No.RF-A2023004)Zhejiang Provincial Postdoctoral Science Foundation(No.ZJ2023145).
文摘Herein,the association between the dynamic adsorption capacity of toluene and several important characteristic values on activated carbon(AC)samples was investigated by multidimensional linear regression.Among the characteristic values,the carbon tetrachloride(CTC)adsorption value has demonstrated relatively stronger correlation with the toluene adsorption capacity on AC sampleswith diverse sources and forms,particularly in exposure to high-concentration toluene.Notably,the relevance of the toluene adsorption capacity to the CTC value could also be extended to a series of other porous adsorbents,which proved the wide applicability of CTC value in characterizing the adsorption behaviors.Based on these results,a mathematical and visual model was then established to predict the toluene adsorption saturation under different conditions(inlet concentration,adsorption time,initial CTC value,etc.)on diverse AC samples,of which the accuracy has later been verified by experimental data.As such,a fast and accurate estimation of the adsorption behaviors over AC samples,and possibly other porous adsorbents,was realized.
基金supported by Scientific Research Fund of Hunan Provincial EducationDepartment(23B1133):How Labor Affects Moral Development:Based on the perspective of mixed research methods.
文摘Background:Understanding the factors that influence adolescent psychological resilience is critical for promoting mental health.This study explores the impact and mechanism of labor values on adolescent psychological resilience from the perspective of emotion regulation theory.Methods:This study conducted an in-depth analysis using the Labor Value Scale on 2691 elementary school upper-grade students,middle school students,and high school students.Results:The results show that:(1)labor values can positively predict adolescents’mental resilience;(2)cognitive reappraisal and expression inhibition play a partial mediating role in the relationship between labor values and adolescents’psychological resilience.Among them,labor values can positively predict adolescents’mental resilience through positive cognitive reappraisal,and labor values can also predict adolescents’mental resilience through expression inhibition.Conclusion:Based on the theory of emotion regulation,this study explores the direct effect of labor values on mental resilience and the mediating effect of different strategies of emotion regulation.The results of this study provide a theoretical basis for improving the mental resilience of adolescents.
基金Supported by the National Natural Science Foundation of China (Grant No.12161074)the Talent Introduction Research Foundation of Suqian University (Grant No.106-CK00042/028)+1 种基金Suqian Sci&Tech Program (Grant No.M202206)Sponsored by Qing Lan Project of Jiangsu Province and Suqian Talent Xiongying Plan of Suqian。
文摘Throughout this work,we explore the uniqueness properties of meromorphic functions concerning their interactions with complex differential-difference polynomial.Under the condition of finite order,we establish three distinct uniqueness results for a meromorphic function f associated with the differential-difference polynomial L_(η)^(n)f=Σ_(k=0)^(n)a_(k)f (z+k_(η))+a_(-1)f′.These results lead to a refined characterization of f (z)≡L_(η)^(n)f (z).Several illustrative examples are provided to demonstrate the sharpness and precision of the results obtained in this study.
文摘With the continuous and in-depth advancement of higher education reform,the employment issue of college graduates has become a hot topic of discussion in current colleges and universities.In order to cultivate the professional values of college students,colleges and universities need to strengthen the implementation of policies and measures for youth employment and optimize guidance and services for employment and entrepreneurship.Guide college graduates to rationally plan their academic and career development,improve their overall employment quality and practical ability,and then closely integrate their career planning with the development of the country and society.In this regard,we will focus on“strengthening career education to guide college graduates to establish correct career values.”
文摘The objective of the study is to examine the moderating influence of gender on the relationship between cultural values and Islamic work ethics(IWE)among Palestinian Arab high school teachers in Israel who represent an ethnic and religious minority within a Western-oriented framework.The study sample comprised 1,245 Arab teachers(759 females and 476 males).Data analysis was conducted using structural equation modeling with AMOS,focusing on path analysis.The research findings highlight a substantial relationship between cultural values and Islamic work ethics,with gender as a moderating variable.Additionally,the results indicate a significant positive relationship between the cultural value dimension of uncertainty avoidance and both dimensions of Islamic work ethics-dedication and social responsibility in the workplace,along with independence,diligence,and achievement.In contrast,a pronounced and significant negative relationship was identified between the cultural dimension of femininity/masculinity and these two dimensions of Islamic work ethics.
基金funded by the Science and Technology Project of China Southern Power Grid(YNKJXM20210175)the National Natural Science Foundation of China(52177070).
文摘Most ground faults in distribution network are caused by insulation deterioration of power equipment.It is difficult to find the insulation deterioration of the distribution network in time,and the development trend of the initial insulation fault is unknown,which brings difficulties to the distribution inspection.In order to solve the above problems,a situational awareness method of the initial insulation fault of the distribution network based on a multi-feature index comprehensive evaluation is proposed.Firstly,the insulation situation evaluation index is selected by analyzing the insulation fault mechanism of the distribution network,and the relational database of the distribution network is designed based on the data and numerical characteristics of the existing distribution management system.Secondly,considering all kinds of fault factors of the distribution network and the influence of the power supply region,the evaluation method of the initial insulation fault situation of the distribution network is proposed,and the development situation of the distribution network insulation fault is classified according to the evaluation method.Then,principal component analysis was used to reduce the dimension of the training samples and test samples of the distribution network data,and the support vector machine(SVM)was trained.The optimal parameter combination of the SVM model was found by the grid search method,and a multi-class SVM model based on 1-v-1 method was constructed.Finally,the trained multi-class SVM was used to predict 6 kinds of situation level prediction samples.The results of simulation examples show that the average prediction accuracy of 6 situation levels is above 95%,and the perception accuracy of 4 situation levels is above 96%.In addition,the insulation maintenance decision scheme under different situation levels is able to be given when no fault occurs or the insulation fault is in the early stage,which can meet the needs of power distribution and inspection for accurately sensing the insulation fault situation.The correctness and effectiveness of this method are verified.
