LEO satellite communication systems have the characteristics of high-speed and periodic movement.The handover of user link occurs frequently,which has a serious impact on user terminal application and system capacity....LEO satellite communication systems have the characteristics of high-speed and periodic movement.The handover of user link occurs frequently,which has a serious impact on user terminal application and system capacity.To address this issue,we propose a handover strategy of LEO satellite user terminal based on multi-attribute and multi-point(MAMP)cooperation.Firstly,the satellite-user-time matrix is established by using the satellite constellation coverage and handover model.Then,combined with the visual time and signal quality,the user access matrix and satellite load matrix are extracted to determine the weight equation of the handover strategy with the channel reservation.According to the system modeling simulation,the algorithm improves the handover success rate by 2.5%,the lasted call access success rate by 3.2%,the load balancing degree by 20%,and the robustness by two orders of magnitude.展开更多
Objective:To systematically review the current implementation status of nurses’non-pharmacological prescription authority and analyze the barriers encountered during its implementation in China,providing countermeasu...Objective:To systematically review the current implementation status of nurses’non-pharmacological prescription authority and analyze the barriers encountered during its implementation in China,providing countermeasures and references for promoting the standardized implementation of nurses’non-pharmacological prescription authority.Methods:A secondary analysis of literature was conducted to systematically search for domestic and international literature related to nurses’non-pharmacological prescription authority.Meta-analysis was performed on eligible literature to evaluate the implementation effects.Simultaneously,semi-structured in-depth interviews were conducted with healthcare workers,patients,and policymakers.Content analysis was used to organize the interview data and extract core issues and barriers.Results:A total of 46 international articles were included in the Meta-analysis,which revealed that the implementation of nurses’non-pharmacological prescription authority significantly improved patients’health management outcomes,enhanced healthcare service efficiency,and increased patient satisfaction.Conclusion:The implementation of nurses’non-pharmacological prescription authority has demonstrated significant positive effects.However,China faces multiple barriers in its advancement,necessitating efforts in optimizing policy systems,constructing collaborative models,strengthening professional skills training,and improving social awareness to guide the scientific and rational implementation of nurses’non-pharmacological prescription authority.展开更多
Due to the numerous variables to take into account as well as the inherent ambiguity and uncertainty,evaluating educational institutions can be difficult.The concept of a possibility Pythagorean fuzzy hypersoft set(pP...Due to the numerous variables to take into account as well as the inherent ambiguity and uncertainty,evaluating educational institutions can be difficult.The concept of a possibility Pythagorean fuzzy hypersoft set(pPyFHSS)is more flexible in this regard than other theoretical fuzzy set-like models,even though some attempts have been made in the literature to address such uncertainties.This study investigates the elementary notions of pPyFHSS including its set-theoretic operations union,intersection,complement,OR-and AND-operations.Some results related to these operations are also modified for pPyFHSS.Additionally,the similarity measures between pPyFHSSs are formulated with the assistance of numerical examples and results.Lastly,an intelligent decision-assisted mechanism is developed with the proposal of a robust algorithm based on similarity measures for solving multi-attribute decision-making(MADM)problems.A case study that helps the decision-makers assess the best educational institution is discussed to validate the suggested system.The algorithmic results are compared with the most pertinent model to evaluate the adaptability of pPyFHSS,as it generalizes the classical possibility fuzzy set-like theoretical models.Similarly,while considering significant evaluating factors,the flexibility of pPyFHSS is observed through structural comparison.展开更多
Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective to...Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective tools to address these challenges.In this paper,new mathematical approaches for handling uncertainty in medical diagnosis are introduced using q-rung orthopair fuzzy sets(q-ROFS)and interval-valued q-rung orthopair fuzzy sets(IVq-ROFS).Three aggregation operators are proposed in our methodologies:the q-ROF weighted averaging(q-ROFWA),the q-ROF weighted geometric(q-ROFWG),and the q-ROF weighted neutrality averaging(qROFWNA),which enhance decision-making under uncertainty.These operators are paired with ranking methods such as the similarity measure,score function,and inverse score function to improve the accuracy of disease identification.Additionally,the impact of varying q-rung values is explored through a sensitivity analysis,extending the analysis beyond the typical maximum value of 3.The Basic Uncertain Information(BUI)method is employed to simulate expert opinions,and aggregation operators are used to combine these opinions in a group decisionmaking context.Our results provide a comprehensive comparison of methodologies,highlighting their strengths and limitations in diagnosing diseases based on uncertain patient data.展开更多
To solve the challenges of connecting and coordinating multiple platforms in the automotive industry and to enhance collaboration among different participants,this research focuses on addressing the complex supply rel...To solve the challenges of connecting and coordinating multiple platforms in the automotive industry and to enhance collaboration among different participants,this research focuses on addressing the complex supply relationships in the automotive market,improving data sharing and interactions across various platforms,and achieving more detailed integration of data and operations.We propose a trust evaluation permission delegation method based on the automotive industry chain.The proposed method combines smart contracts with trust evaluation mechanisms,dynamically calculating the trust value of users based on the historical behavior of the delegated entity,network environment,and other factors to avoid malicious node attacks during the permission delegation process.We also introduce strict control over the cross-domain permission granting and revocation mechanisms to manage the delegation path,prevent information leakage caused by malicious node interception,and effectively protect data integrity and privacy.Experimental analysis shows that this method meets the realtime requirements of collaborative interaction in the automotive industry chain and provides a feasible solution to permission delegation issues in the automotive industry chain,offering dynamic flexibility in authorization and scalability compared to most existing solutions.展开更多
Cultural landscape zoning research of traditional villages is the basic premise for carrying out overall protection and regional development.Through the clustering algorithm,cultural area zoning research of traditiona...Cultural landscape zoning research of traditional villages is the basic premise for carrying out overall protection and regional development.Through the clustering algorithm,cultural area zoning research of traditional villages can provide objective basis for its overall protection and development.Based on the field research,drawing on the theory of cultural landscape,southwest Hubei is taken as the research object,and the index system of cultural landscape type division of traditional villages is constructed from three levels of culture,geography and village carrier.Adopting the multi-attribute weighted k-modes clustering algorithm,92 traditional villages in southwest Hubei are divided into three major types,which are the western Tujia cultural characteristic area,the southern Tujia-Miao cultural penetration area,and the northern multi-ethnic cultural mixed area,and the characteristics of each area are summarized.The regional characteristics of traditional villages in southwest Hubei at the cultural landscape level are analysed from a macro point of view,which provides a reference for more objective cognition of the distribution law of traditional villages in southwest Hubei,and carrying out the contiguous protection of traditional villages.展开更多
Graphs have been widely used in fields ranging from chemical informatics to social network analysis.Graph-related problems become increasingly significant,with subgraph matching standing out as one of the most challen...Graphs have been widely used in fields ranging from chemical informatics to social network analysis.Graph-related problems become increasingly significant,with subgraph matching standing out as one of the most challenging tasks.The goal of subgraph matching is to find all subgraphs in the data graph that are isomorphic to the query graph.Traditional methods mostly rely on search strategies with high computational complexity and are hard to apply to large-scale real datasets.With the advent of graph neural networks(GNNs),researchers have turned to GNNs to address subgraph matching problems.However,the multi-attributed features on nodes and edges are overlooked during the learning of graphs,which causes inaccurate results in real-world scenarios.To tackle this problem,we propose a novel model called subgraph matching on multi-attributed graph network(SGMAN).SGMAN first utilizes improved line graphs to capture node and edge features.Then,SGMAN integrates GNN and contrastive learning(CL)to derive graph representation embeddings and calculate the matching matrix to represent the matching results.We conduct experiments on public datasets,and the results affirm the superior performance of our model.展开更多
This essay critically re-examines pedagogical authority in the context of artificial intelligence(AI)and hybrid learning.As AI technologies disrupt the traditional teacher-centered model,and hybrid modalities challeng...This essay critically re-examines pedagogical authority in the context of artificial intelligence(AI)and hybrid learning.As AI technologies disrupt the traditional teacher-centered model,and hybrid modalities challenge spatial hierarchies,authority in education is increasingly dispersed and relational.The paper deconstructs historical structures of authority rooted in positional hierarchy and physical space,arguing instead for a model based on ethical mediation,dialogic engagement,and technological literacy.Educators must transform from content deliverers to facilitators of critical inquiry,guiding students through algorithmic complexity and fostering inclusive,participatory learning environments.By embracing relational authority and transparent practices,higher education can reclaim its democratic and transformative potential in the post-AI era.展开更多
BACKGROUND Global tumor incidence rises and therapies advance,driving oncology nursing specialization.Granting nurses prescriptive authority optimizes care but polarizes nurses'attitudes due to factors like risk a...BACKGROUND Global tumor incidence rises and therapies advance,driving oncology nursing specialization.Granting nurses prescriptive authority optimizes care but polarizes nurses'attitudes due to factors like risk and competence,hindering policy implementation.AIM To investigate the current status of the attitudes of oncology specialist nurses toward having prescribing authority,specifically concerning symptom management and supportive care in oncology practice,and we conducted a path analysis of their influencing factors.METHODS As participants in the survey,oncology specialist nurses working in hospitals of different grades in Jiangsu Province were selected from March 2025 to May 2025 using a stratified sampling method.The questionnaires were administered using the general information questionnaire,the beliefs and attitudes about nurses'prescriptive authority scale,the nurses'professional identity scale,and the selfefficacy scale.Pearson’s method was used to analyze the correlation between beliefs and attitudes about the prescriptive authority,professional identity,and self-efficacy of nurses.Multiple linear regression was performed to analyze the factors influencing the beliefs and attitudes of nurses’prescriptive authority.The Amos plug-in was used to construct structural equation models to analyze the influencing pathways.RESULTS A total of 329 questionnaires were distributed,and 328 valid questionnaires were returned(effective recovery rate:99.70%).The total score of the 328 oncology nurses on the beliefs and attitudes about nurses'prescriptive authority scale was 101.88±15.13,indicating a moderately high level.Univariate analysis revealed that gender and hospital grade were associated with this score(P<0.05).The Pearson correlation analysis revealed that self-efficacy was positively correlated with the scores of the beliefs and attitudes about nurses’prescriptive authority scale and the nurses’professional identity scale(r=0.4999,P<0.0001 and r=0.7048,P<0.05,respectively),whereas occupational identity was positively correlated only with the former(r=0.6209,P<0.05).Multiple linear regression analysis revealed occupational identity and self-efficacy as the factors influencing the scores of the beliefs and attitudes about nurses’prescriptive authority scale(P<0.05).The results of the path analysis revealed that selfefficacy significantly positively affected nurses’occupational identity and their beliefs and attitudes about having prescriptive authority;occupational identity played a mediating role between the two,with a mediating effect accounting for 54.46% of the total effect,and the structural equation model was well-fitted.CONCLUSION Oncology nurses have more positive attitudes toward prescriptive authority.In addition,self-efficacy positively and indirectly affects nurses’attitudes toward prescriptive authority through the mediating effect of occupational identity.This can be used as a basis for clinical practice to take targeted measures to improve nurses’self-efficacy and occupational identity,thus creating favorable conditions for effectively implementing the policy of prescriptive authority.展开更多
Objective: To investigate the current beliefs and attitudes of nurses in Yunnan Province toward prescriptive authority, analyze the influencing factors, and provide evidence for future research and policy formulation ...Objective: To investigate the current beliefs and attitudes of nurses in Yunnan Province toward prescriptive authority, analyze the influencing factors, and provide evidence for future research and policy formulation to support the establishment of nurses’ prescriptive authority in China. Method: A cross-sectional survey was conducted among 937 nurses in Yunnan Province using the Beliefs and Attitudes Scale on Nurses’ Prescriptive Authority. The scale assessed four dimensions: perceived need, self-efficacy, perceived benefits, and perceived barriers. Multiple linear regression analysis was used to identify factors influencing the overall score and each dimension. Results: The total score of the Beliefs and Attitudes Scale was 89.17 ± 17.69, indicating a moderate level of awareness and positive attitude among nurses. The highest-scoring dimension was perceived benefits (34.94 ± 8.04), while the lowest was perceived barriers (15.23 ± 3.5). Age was identified as a significant factor influencing the overall score and self-efficacy dimension (P < 0.05). Years of practice influenced the perceived benefits dimension (P = 0.051), while gender, age, and professional title were key factors affecting the perceived barriers dimension (P < 0.05). Male nurses and senior nurses demonstrated more caution toward potential risks associated with prescriptive authority. Conclusion: Nurses in Yunnan Province exhibit moderate levels of belief in and attitudes toward prescriptive authority, with age being the most significant influencing factor. Tailored training programs, policy promotion, and practical guidance are recommended to enhance nurses’ understanding and support for prescriptive authority, thereby improving nursing practices and addressing regional healthcare challenges.展开更多
In the ever-evolving landscape of global governance,the dynamics of democracy and authoritarianism continue to shape political transitions,yet our conceptual frameworks often lag these transformations.This paper criti...In the ever-evolving landscape of global governance,the dynamics of democracy and authoritarianism continue to shape political transitions,yet our conceptual frameworks often lag these transformations.This paper critically examines the prevailing approaches to authoritarianism in sub-Saharan Africa,challenging the conventional view that defines authoritarian states merely as negations of democracy.Through a comparative analysis of four widely recognized democracy indices,the study reveals methodological biases that overlook the nuanced roles of political authority in transitional states.By exploring the intersection of normative and positive analyses,the paper rethinks the teleological assumptions underlying the classification of authoritarian regimes.It proposes an alternative perspective on the relationship between democracy and legitimacy,arguing that this relationship is pivotal in understanding social change in contexts where political alternation is absent.The study aims to provide a more comprehensive framework for assessing political development,one that prioritizes the values and norms critical to structural transformation in Africa.This paper contributes to the debate on power dynamics in autocratic regimes,highlighting how legitimacy acts as a catalyst for democratization.Ultimately,the research seeks to refine our understanding of the mechanisms through which political power operates in sub-Saharan Africa,offering new pathways for evaluating and fostering political change.We hope to contribute to a better assessment of how best to measure the effects and impact of power,while also considering the values and norms that should prevail in assessing structural transformation in Africa and the conditions that should be considered in selecting countries that are considered“politically like-minded”.展开更多
Cyber-physical systems(CPSs)are increasingly vulnerable to cyber-attacks due to their integral connection between cyberspace and the physical world,which is augmented by Internet connectivity.This vulnerability necess...Cyber-physical systems(CPSs)are increasingly vulnerable to cyber-attacks due to their integral connection between cyberspace and the physical world,which is augmented by Internet connectivity.This vulnerability necessitates a heightened focus on developing resilient control mechanisms for CPSs.However,current observer-based active compensation resilient controllers exhibit poor performance against stealthy deception attacks(SDAs)due to the difficulty in accurately reconstructing system states because of the stealthy nature of these attacks.Moreover,some non-active compensation approaches are insufficient when there is a complete loss of actuator control authority.To address these issues,we introduce a novel learning-based passive resilient controller(LPRC).Our approach,unlike observer-based state reconstruction,shows enhanced effectiveness in countering SDAs.We developed a safety state set,represented by an ellipsoid,to ensure CPS stability under SDA conditions,maintaining system trajectories within this set.Additionally,by employing deep reinforcement learning(DRL),the LPRC acquires the capacity to adapt and diverse evolving attack strategies.To empirically substantiate our methodology,various attack methods were compared with current passive and active compensation resilient control methods to evaluate their performance.展开更多
Drug products are specific goods with safety and effectiveness in medical health case.All of researchers(authors),reviewers,and editors must abide by medical ethical obligation,and also must deter to the ethical oblig...Drug products are specific goods with safety and effectiveness in medical health case.All of researchers(authors),reviewers,and editors must abide by medical ethical obligation,and also must deter to the ethical obligation for publication.These guidelines are offered as ethical behavior standards.We now present a set of ethical guidelines for persons engaged in the publication of drug research,specifically,for editors,authors,and reviewers.We believe that the guidelines offered are understood and subscribed to by the pharmaceutical research scientists.They may be helpful to those who are related to the editors,authors,and reviewers of journal publication.展开更多
International Journal of Minerals,Metallurgy and Materials is dedicated to the publication and the dissemination of original research articles (and occasional invited reviews) in the fields of Minerals,Metallurgy and ...International Journal of Minerals,Metallurgy and Materials is dedicated to the publication and the dissemination of original research articles (and occasional invited reviews) in the fields of Minerals,Metallurgy and Materials.It is covered by EI Compendex,SCI Expanded,Chemical Abstract,etc.Manuscript preparation The following components are required for a complete manuscript:Title,Author(s),Author affiliation(s),Abstract,Keywords,Main text,Acknowledgements and References.展开更多
An integrated approach is proposed to investigate the fuzzy multi-attribute decision-making （MADM） problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attr...An integrated approach is proposed to investigate the fuzzy multi-attribute decision-making （MADM） problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. An eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. Two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an MADM problem. The simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. Finally, a numerical example is given to show the feasibility and effectiveness of the method. The result shows that it is easier than other methods of integrating subjective and objective information.展开更多
In presented fuzzy multi-attribute decision-making （FMADM） problems, the information about attribute weights is interval numbers and the decision maker （DM） has fuzzy complementary preference relation on alternati...In presented fuzzy multi-attribute decision-making （FMADM） problems, the information about attribute weights is interval numbers and the decision maker （DM） has fuzzy complementary preference relation on alternatives. Firstly, the decision-making information based on the subjective preference information in the form of the fuzzy complementary judgment matrix is uniform by using a translation function. Then an objective programming model is established. Attribute weights are obtained by solving the model, thus the fuzzy overall values of alternatives are derived by using the additive weighting method. Secondly, the ranking approach of alternatives is proposed based on the degree of similarity between the fuzzy positive ideal solution of alternatives （FPISA） and the fuzzy overall values. The method can sufficiently utilize the objective information of alternatives and meet the subjective requirements of the DM as much as possible. It is easy to be operated and implemented on a computer. Finally, the proposed method is applied to the project evaluation in the venture investment.展开更多
[Objective]The aim was to establish a multi-attribute decision making method and introduce its application in rice breeding.[Method]Based on the defined closeness degree among attributes,the difference degrees among a...[Objective]The aim was to establish a multi-attribute decision making method and introduce its application in rice breeding.[Method]Based on the defined closeness degree among attributes,the difference degrees among attributes were discussed.Furthermore,the weights of attributes were determined based on the difference degrees among the attributes.[Result]A multi-attribute decision making method based on difference degrees among attributes was established,the feasibility of applying it in rice breeding was also analyzed.[Conclusion]This study enriched the methods to determine attribute weights in multi-attribute decision making and provided the necessary theoretical support for selecting rice varieties scientifically and rationally.展开更多
To solve the uncertain multi-attribute group decision-making of unknown attribute weights,three optimal models are built to decide the corresponding ideal solution weights,standard deviation weights and mean deviation...To solve the uncertain multi-attribute group decision-making of unknown attribute weights,three optimal models are built to decide the corresponding ideal solution weights,standard deviation weights and mean deviation weights.The comprehensive attribute weights are gotten through the product of the above three kinds of weights.And each decision maker＇s weighted decision matrices are also received by using the integrated attribute weights.The closeness degrees are also gotten by use of technique for order preference by similarity to ideal solution（TOPSIS） through dealing with the weighted decision matrices.At the same time the group decision matrix and weighted group decision matrix are gotten by using each decision-maker＇s closeness degree to every project.Then the vertical TOPSIS method is used to calculate the closeness degree of each project.So these projects can be ranked according to their values of the closeness degree.The process of the method is also given step by step.Finally,a numerical example demonstrates the feasibility and effectiveness of the approach.展开更多
To study the fuzzy and grey information in the problems of multi-attribute group decision making, the basic concepts of both fuzzy grey numbers and grey interval numbers are given firstly, then a new model of fuzzy gr...To study the fuzzy and grey information in the problems of multi-attribute group decision making, the basic concepts of both fuzzy grey numbers and grey interval numbers are given firstly, then a new model of fuzzy grey multi-attribute group decision making based on the theories of fuzzy mathematics and grey system is presented. Furthermore, the grey interval relative degree and deviation degree is defined, and both the optimistic algorithm of the grey interval relational degree and the algorithm of deviation degree minimization for solving this new model are also given. Finally, a decision making example to demonstrate the feasibility and rationality of this new method is given, and the results by using these two algorithms are uniform.展开更多
Due to the complexity of decision-making problems and the subjectivity of decision-makers in practical application,it is necessary to adopt different forms of information expression according to the actual situation o...Due to the complexity of decision-making problems and the subjectivity of decision-makers in practical application,it is necessary to adopt different forms of information expression according to the actual situation of specific decision-making problems and choose the best method to solve them.Multi-valued neutrosophic set,as an extension of neutrosophic set,can more effectively and accurately describe incomplete,uncertain or inconsistent information.TODIM and TOPSIS methods are two commonly used multi-attribute decision-making methods,each of which has its advantages and disadvantages.This paper proposes a new method based on TODIM and TOPSIS to solve multi-attribute decision-making problems under multi-valued neutrosophic environment.After introducing the related theory of multi-valued neutrosophic set and the traditional TODIM and TOPSIS methods,the new method based on a combination of TODIM and TOPSIS methods is described.And then,two illustrative examples proved the feasibility and validity of the proposed method.Finally,the result has been compared with some existing methods under the same examples and the proposed method’s superiority has been proved.This paper studies this kind of decision-making problem from algorithm idea,algorithm steps and decision-making influencing factors.展开更多
基金supported by the Innovation Funding of ICT,CAS under Grant(No.E261020)Jiangsu Key Research and Development Program of China(No.BE2021013-2)Zhejiang Key Research and Development Program(No.2021C01040).
文摘LEO satellite communication systems have the characteristics of high-speed and periodic movement.The handover of user link occurs frequently,which has a serious impact on user terminal application and system capacity.To address this issue,we propose a handover strategy of LEO satellite user terminal based on multi-attribute and multi-point(MAMP)cooperation.Firstly,the satellite-user-time matrix is established by using the satellite constellation coverage and handover model.Then,combined with the visual time and signal quality,the user access matrix and satellite load matrix are extracted to determine the weight equation of the handover strategy with the channel reservation.According to the system modeling simulation,the algorithm improves the handover success rate by 2.5%,the lasted call access success rate by 3.2%,the load balancing degree by 20%,and the robustness by two orders of magnitude.
基金Scientific Research Fund Project of Yunnan Provincial Department of Education(Project No.:2024J2130)。
文摘Objective:To systematically review the current implementation status of nurses’non-pharmacological prescription authority and analyze the barriers encountered during its implementation in China,providing countermeasures and references for promoting the standardized implementation of nurses’non-pharmacological prescription authority.Methods:A secondary analysis of literature was conducted to systematically search for domestic and international literature related to nurses’non-pharmacological prescription authority.Meta-analysis was performed on eligible literature to evaluate the implementation effects.Simultaneously,semi-structured in-depth interviews were conducted with healthcare workers,patients,and policymakers.Content analysis was used to organize the interview data and extract core issues and barriers.Results:A total of 46 international articles were included in the Meta-analysis,which revealed that the implementation of nurses’non-pharmacological prescription authority significantly improved patients’health management outcomes,enhanced healthcare service efficiency,and increased patient satisfaction.Conclusion:The implementation of nurses’non-pharmacological prescription authority has demonstrated significant positive effects.However,China faces multiple barriers in its advancement,necessitating efforts in optimizing policy systems,constructing collaborative models,strengthening professional skills training,and improving social awareness to guide the scientific and rational implementation of nurses’non-pharmacological prescription authority.
基金supported by the Deanship of Graduate Studies and Scientific Research at Qassim University(QU-APC-2024-9/1).
文摘Due to the numerous variables to take into account as well as the inherent ambiguity and uncertainty,evaluating educational institutions can be difficult.The concept of a possibility Pythagorean fuzzy hypersoft set(pPyFHSS)is more flexible in this regard than other theoretical fuzzy set-like models,even though some attempts have been made in the literature to address such uncertainties.This study investigates the elementary notions of pPyFHSS including its set-theoretic operations union,intersection,complement,OR-and AND-operations.Some results related to these operations are also modified for pPyFHSS.Additionally,the similarity measures between pPyFHSSs are formulated with the assistance of numerical examples and results.Lastly,an intelligent decision-assisted mechanism is developed with the proposal of a robust algorithm based on similarity measures for solving multi-attribute decision-making(MADM)problems.A case study that helps the decision-makers assess the best educational institution is discussed to validate the suggested system.The algorithmic results are compared with the most pertinent model to evaluate the adaptability of pPyFHSS,as it generalizes the classical possibility fuzzy set-like theoretical models.Similarly,while considering significant evaluating factors,the flexibility of pPyFHSS is observed through structural comparison.
文摘Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective tools to address these challenges.In this paper,new mathematical approaches for handling uncertainty in medical diagnosis are introduced using q-rung orthopair fuzzy sets(q-ROFS)and interval-valued q-rung orthopair fuzzy sets(IVq-ROFS).Three aggregation operators are proposed in our methodologies:the q-ROF weighted averaging(q-ROFWA),the q-ROF weighted geometric(q-ROFWG),and the q-ROF weighted neutrality averaging(qROFWNA),which enhance decision-making under uncertainty.These operators are paired with ranking methods such as the similarity measure,score function,and inverse score function to improve the accuracy of disease identification.Additionally,the impact of varying q-rung values is explored through a sensitivity analysis,extending the analysis beyond the typical maximum value of 3.The Basic Uncertain Information(BUI)method is employed to simulate expert opinions,and aggregation operators are used to combine these opinions in a group decisionmaking context.Our results provide a comprehensive comparison of methodologies,highlighting their strengths and limitations in diagnosing diseases based on uncertain patient data.
基金funded by the Sichuan Science and Technology Program,Grant Nos.2024NSFSC0515,2024ZHCG0182 and MZGC20230013.
文摘To solve the challenges of connecting and coordinating multiple platforms in the automotive industry and to enhance collaboration among different participants,this research focuses on addressing the complex supply relationships in the automotive market,improving data sharing and interactions across various platforms,and achieving more detailed integration of data and operations.We propose a trust evaluation permission delegation method based on the automotive industry chain.The proposed method combines smart contracts with trust evaluation mechanisms,dynamically calculating the trust value of users based on the historical behavior of the delegated entity,network environment,and other factors to avoid malicious node attacks during the permission delegation process.We also introduce strict control over the cross-domain permission granting and revocation mechanisms to manage the delegation path,prevent information leakage caused by malicious node interception,and effectively protect data integrity and privacy.Experimental analysis shows that this method meets the realtime requirements of collaborative interaction in the automotive industry chain and provides a feasible solution to permission delegation issues in the automotive industry chain,offering dynamic flexibility in authorization and scalability compared to most existing solutions.
基金Philosophy and Social Sciences Research Project of Hubei Provincial Department of Education(22D057).
文摘Cultural landscape zoning research of traditional villages is the basic premise for carrying out overall protection and regional development.Through the clustering algorithm,cultural area zoning research of traditional villages can provide objective basis for its overall protection and development.Based on the field research,drawing on the theory of cultural landscape,southwest Hubei is taken as the research object,and the index system of cultural landscape type division of traditional villages is constructed from three levels of culture,geography and village carrier.Adopting the multi-attribute weighted k-modes clustering algorithm,92 traditional villages in southwest Hubei are divided into three major types,which are the western Tujia cultural characteristic area,the southern Tujia-Miao cultural penetration area,and the northern multi-ethnic cultural mixed area,and the characteristics of each area are summarized.The regional characteristics of traditional villages in southwest Hubei at the cultural landscape level are analysed from a macro point of view,which provides a reference for more objective cognition of the distribution law of traditional villages in southwest Hubei,and carrying out the contiguous protection of traditional villages.
文摘Graphs have been widely used in fields ranging from chemical informatics to social network analysis.Graph-related problems become increasingly significant,with subgraph matching standing out as one of the most challenging tasks.The goal of subgraph matching is to find all subgraphs in the data graph that are isomorphic to the query graph.Traditional methods mostly rely on search strategies with high computational complexity and are hard to apply to large-scale real datasets.With the advent of graph neural networks(GNNs),researchers have turned to GNNs to address subgraph matching problems.However,the multi-attributed features on nodes and edges are overlooked during the learning of graphs,which causes inaccurate results in real-world scenarios.To tackle this problem,we propose a novel model called subgraph matching on multi-attributed graph network(SGMAN).SGMAN first utilizes improved line graphs to capture node and edge features.Then,SGMAN integrates GNN and contrastive learning(CL)to derive graph representation embeddings and calculate the matching matrix to represent the matching results.We conduct experiments on public datasets,and the results affirm the superior performance of our model.
文摘This essay critically re-examines pedagogical authority in the context of artificial intelligence(AI)and hybrid learning.As AI technologies disrupt the traditional teacher-centered model,and hybrid modalities challenge spatial hierarchies,authority in education is increasingly dispersed and relational.The paper deconstructs historical structures of authority rooted in positional hierarchy and physical space,arguing instead for a model based on ethical mediation,dialogic engagement,and technological literacy.Educators must transform from content deliverers to facilitators of critical inquiry,guiding students through algorithmic complexity and fostering inclusive,participatory learning environments.By embracing relational authority and transparent practices,higher education can reclaim its democratic and transformative potential in the post-AI era.
文摘BACKGROUND Global tumor incidence rises and therapies advance,driving oncology nursing specialization.Granting nurses prescriptive authority optimizes care but polarizes nurses'attitudes due to factors like risk and competence,hindering policy implementation.AIM To investigate the current status of the attitudes of oncology specialist nurses toward having prescribing authority,specifically concerning symptom management and supportive care in oncology practice,and we conducted a path analysis of their influencing factors.METHODS As participants in the survey,oncology specialist nurses working in hospitals of different grades in Jiangsu Province were selected from March 2025 to May 2025 using a stratified sampling method.The questionnaires were administered using the general information questionnaire,the beliefs and attitudes about nurses'prescriptive authority scale,the nurses'professional identity scale,and the selfefficacy scale.Pearson’s method was used to analyze the correlation between beliefs and attitudes about the prescriptive authority,professional identity,and self-efficacy of nurses.Multiple linear regression was performed to analyze the factors influencing the beliefs and attitudes of nurses’prescriptive authority.The Amos plug-in was used to construct structural equation models to analyze the influencing pathways.RESULTS A total of 329 questionnaires were distributed,and 328 valid questionnaires were returned(effective recovery rate:99.70%).The total score of the 328 oncology nurses on the beliefs and attitudes about nurses'prescriptive authority scale was 101.88±15.13,indicating a moderately high level.Univariate analysis revealed that gender and hospital grade were associated with this score(P<0.05).The Pearson correlation analysis revealed that self-efficacy was positively correlated with the scores of the beliefs and attitudes about nurses’prescriptive authority scale and the nurses’professional identity scale(r=0.4999,P<0.0001 and r=0.7048,P<0.05,respectively),whereas occupational identity was positively correlated only with the former(r=0.6209,P<0.05).Multiple linear regression analysis revealed occupational identity and self-efficacy as the factors influencing the scores of the beliefs and attitudes about nurses’prescriptive authority scale(P<0.05).The results of the path analysis revealed that selfefficacy significantly positively affected nurses’occupational identity and their beliefs and attitudes about having prescriptive authority;occupational identity played a mediating role between the two,with a mediating effect accounting for 54.46% of the total effect,and the structural equation model was well-fitted.CONCLUSION Oncology nurses have more positive attitudes toward prescriptive authority.In addition,self-efficacy positively and indirectly affects nurses’attitudes toward prescriptive authority through the mediating effect of occupational identity.This can be used as a basis for clinical practice to take targeted measures to improve nurses’self-efficacy and occupational identity,thus creating favorable conditions for effectively implementing the policy of prescriptive authority.
文摘Objective: To investigate the current beliefs and attitudes of nurses in Yunnan Province toward prescriptive authority, analyze the influencing factors, and provide evidence for future research and policy formulation to support the establishment of nurses’ prescriptive authority in China. Method: A cross-sectional survey was conducted among 937 nurses in Yunnan Province using the Beliefs and Attitudes Scale on Nurses’ Prescriptive Authority. The scale assessed four dimensions: perceived need, self-efficacy, perceived benefits, and perceived barriers. Multiple linear regression analysis was used to identify factors influencing the overall score and each dimension. Results: The total score of the Beliefs and Attitudes Scale was 89.17 ± 17.69, indicating a moderate level of awareness and positive attitude among nurses. The highest-scoring dimension was perceived benefits (34.94 ± 8.04), while the lowest was perceived barriers (15.23 ± 3.5). Age was identified as a significant factor influencing the overall score and self-efficacy dimension (P < 0.05). Years of practice influenced the perceived benefits dimension (P = 0.051), while gender, age, and professional title were key factors affecting the perceived barriers dimension (P < 0.05). Male nurses and senior nurses demonstrated more caution toward potential risks associated with prescriptive authority. Conclusion: Nurses in Yunnan Province exhibit moderate levels of belief in and attitudes toward prescriptive authority, with age being the most significant influencing factor. Tailored training programs, policy promotion, and practical guidance are recommended to enhance nurses’ understanding and support for prescriptive authority, thereby improving nursing practices and addressing regional healthcare challenges.
文摘In the ever-evolving landscape of global governance,the dynamics of democracy and authoritarianism continue to shape political transitions,yet our conceptual frameworks often lag these transformations.This paper critically examines the prevailing approaches to authoritarianism in sub-Saharan Africa,challenging the conventional view that defines authoritarian states merely as negations of democracy.Through a comparative analysis of four widely recognized democracy indices,the study reveals methodological biases that overlook the nuanced roles of political authority in transitional states.By exploring the intersection of normative and positive analyses,the paper rethinks the teleological assumptions underlying the classification of authoritarian regimes.It proposes an alternative perspective on the relationship between democracy and legitimacy,arguing that this relationship is pivotal in understanding social change in contexts where political alternation is absent.The study aims to provide a more comprehensive framework for assessing political development,one that prioritizes the values and norms critical to structural transformation in Africa.This paper contributes to the debate on power dynamics in autocratic regimes,highlighting how legitimacy acts as a catalyst for democratization.Ultimately,the research seeks to refine our understanding of the mechanisms through which political power operates in sub-Saharan Africa,offering new pathways for evaluating and fostering political change.We hope to contribute to a better assessment of how best to measure the effects and impact of power,while also considering the values and norms that should prevail in assessing structural transformation in Africa and the conditions that should be considered in selecting countries that are considered“politically like-minded”.
基金supported by the National Natural Science Foundation of China(52332011).
文摘Cyber-physical systems(CPSs)are increasingly vulnerable to cyber-attacks due to their integral connection between cyberspace and the physical world,which is augmented by Internet connectivity.This vulnerability necessitates a heightened focus on developing resilient control mechanisms for CPSs.However,current observer-based active compensation resilient controllers exhibit poor performance against stealthy deception attacks(SDAs)due to the difficulty in accurately reconstructing system states because of the stealthy nature of these attacks.Moreover,some non-active compensation approaches are insufficient when there is a complete loss of actuator control authority.To address these issues,we introduce a novel learning-based passive resilient controller(LPRC).Our approach,unlike observer-based state reconstruction,shows enhanced effectiveness in countering SDAs.We developed a safety state set,represented by an ellipsoid,to ensure CPS stability under SDA conditions,maintaining system trajectories within this set.Additionally,by employing deep reinforcement learning(DRL),the LPRC acquires the capacity to adapt and diverse evolving attack strategies.To empirically substantiate our methodology,various attack methods were compared with current passive and active compensation resilient control methods to evaluate their performance.
文摘Drug products are specific goods with safety and effectiveness in medical health case.All of researchers(authors),reviewers,and editors must abide by medical ethical obligation,and also must deter to the ethical obligation for publication.These guidelines are offered as ethical behavior standards.We now present a set of ethical guidelines for persons engaged in the publication of drug research,specifically,for editors,authors,and reviewers.We believe that the guidelines offered are understood and subscribed to by the pharmaceutical research scientists.They may be helpful to those who are related to the editors,authors,and reviewers of journal publication.
文摘International Journal of Minerals,Metallurgy and Materials is dedicated to the publication and the dissemination of original research articles (and occasional invited reviews) in the fields of Minerals,Metallurgy and Materials.It is covered by EI Compendex,SCI Expanded,Chemical Abstract,etc.Manuscript preparation The following components are required for a complete manuscript:Title,Author(s),Author affiliation(s),Abstract,Keywords,Main text,Acknowledgements and References.
文摘An integrated approach is proposed to investigate the fuzzy multi-attribute decision-making （MADM） problems, where subjective preferences are expressed by a pairwise comparison matrix on the relative weights of attributes and objective information is expressed by a decision matrix. An eigenvector method integrated the subjective fuzzy preference matrix and objective information is proposed. Two linear programming models based on subjective and objective information are introduced to assess the relative importance weights of attributes in an MADM problem. The simple additive weighting method is utilized to aggregate the decision information, and then all the alternatives are ranked. Finally, a numerical example is given to show the feasibility and effectiveness of the method. The result shows that it is easier than other methods of integrating subjective and objective information.
文摘In presented fuzzy multi-attribute decision-making （FMADM） problems, the information about attribute weights is interval numbers and the decision maker （DM） has fuzzy complementary preference relation on alternatives. Firstly, the decision-making information based on the subjective preference information in the form of the fuzzy complementary judgment matrix is uniform by using a translation function. Then an objective programming model is established. Attribute weights are obtained by solving the model, thus the fuzzy overall values of alternatives are derived by using the additive weighting method. Secondly, the ranking approach of alternatives is proposed based on the degree of similarity between the fuzzy positive ideal solution of alternatives （FPISA） and the fuzzy overall values. The method can sufficiently utilize the objective information of alternatives and meet the subjective requirements of the DM as much as possible. It is easy to be operated and implemented on a computer. Finally, the proposed method is applied to the project evaluation in the venture investment.
基金Supported by the Science Research and Development Project of Nanning City(201002030B)~~
文摘[Objective]The aim was to establish a multi-attribute decision making method and introduce its application in rice breeding.[Method]Based on the defined closeness degree among attributes,the difference degrees among attributes were discussed.Furthermore,the weights of attributes were determined based on the difference degrees among the attributes.[Result]A multi-attribute decision making method based on difference degrees among attributes was established,the feasibility of applying it in rice breeding was also analyzed.[Conclusion]This study enriched the methods to determine attribute weights in multi-attribute decision making and provided the necessary theoretical support for selecting rice varieties scientifically and rationally.
基金supported by the Research Innovation Project of Shanghai Education Committee (08YS19)the Excellent Young Teacher Project of Shanghai University
文摘To solve the uncertain multi-attribute group decision-making of unknown attribute weights,three optimal models are built to decide the corresponding ideal solution weights,standard deviation weights and mean deviation weights.The comprehensive attribute weights are gotten through the product of the above three kinds of weights.And each decision maker＇s weighted decision matrices are also received by using the integrated attribute weights.The closeness degrees are also gotten by use of technique for order preference by similarity to ideal solution（TOPSIS） through dealing with the weighted decision matrices.At the same time the group decision matrix and weighted group decision matrix are gotten by using each decision-maker＇s closeness degree to every project.Then the vertical TOPSIS method is used to calculate the closeness degree of each project.So these projects can be ranked according to their values of the closeness degree.The process of the method is also given step by step.Finally,a numerical example demonstrates the feasibility and effectiveness of the approach.
基金This project was supported by the National Natural Science Foundation of China (70671050 70471019)the Key Project of Hubei Provincial Department of Education (D200627005).
文摘To study the fuzzy and grey information in the problems of multi-attribute group decision making, the basic concepts of both fuzzy grey numbers and grey interval numbers are given firstly, then a new model of fuzzy grey multi-attribute group decision making based on the theories of fuzzy mathematics and grey system is presented. Furthermore, the grey interval relative degree and deviation degree is defined, and both the optimistic algorithm of the grey interval relational degree and the algorithm of deviation degree minimization for solving this new model are also given. Finally, a decision making example to demonstrate the feasibility and rationality of this new method is given, and the results by using these two algorithms are uniform.
基金This research was funded by the Humanities and Social Sciences Foundation of Ministry of Education of the Peoples Republic of China(17YJA630115)The recipient of the founding is DX.
文摘Due to the complexity of decision-making problems and the subjectivity of decision-makers in practical application,it is necessary to adopt different forms of information expression according to the actual situation of specific decision-making problems and choose the best method to solve them.Multi-valued neutrosophic set,as an extension of neutrosophic set,can more effectively and accurately describe incomplete,uncertain or inconsistent information.TODIM and TOPSIS methods are two commonly used multi-attribute decision-making methods,each of which has its advantages and disadvantages.This paper proposes a new method based on TODIM and TOPSIS to solve multi-attribute decision-making problems under multi-valued neutrosophic environment.After introducing the related theory of multi-valued neutrosophic set and the traditional TODIM and TOPSIS methods,the new method based on a combination of TODIM and TOPSIS methods is described.And then,two illustrative examples proved the feasibility and validity of the proposed method.Finally,the result has been compared with some existing methods under the same examples and the proposed method’s superiority has been proved.This paper studies this kind of decision-making problem from algorithm idea,algorithm steps and decision-making influencing factors.
