Objective：To comprehensively evaluate the health status of 6 volunteers from the Mars 500Project through analyzing their pulse graphs and determining the changes in cardiovascular function,degree of fatigue and auton...Objective：To comprehensively evaluate the health status of 6 volunteers from the Mars 500Project through analyzing their pulse graphs and determining the changes in cardiovascular function,degree of fatigue and autonomic nervous function.Methods：Six volunteers were recruited;all were male aged 26–38years（average 31.83±4.96 years）.Characteristic parameters reflecting the status of cardiovascular functions were extracted,which included left ventricular contraction,vascular elasticity and peripheral resistance.The degree of fatigue was determined depending on the difference between the calendar age and biological age,which was calculated through the analysis of blood pressure value and characteristic parameters.Based on the values of pulse height variation and pulse time variation on a 30-s pulse graph,autonomic nervous function was evaluated.All parameters examined were marked on an equilateral polygon to form an irregular polygon of the actual figure,then health status was evaluated based on the coverage area of the actual figure.Results：The results demonstrated：（1）volunteers developed weakened pulse power,increased vascular tension and peripheral resistance,and slight decreased ventricular systolic function;（2）the degree of fatigue was basically mild or moderate;and（3）autonomic nervous function was excited but generally balanced.Conclusions：These volunteers were in the state of sub-health.According to Chinese medicine theories,such symptoms are mainly caused by the weakening of healthy qi,Gan（Liver）failing in free coursing,and disharmony between Gan and Wei（Stomach）,which manifests as a weak and string-like pulse.展开更多
Detecting malware on mobile devices using the Android operating system has become a critical challenge in the field of cybersecurity,in the context of the rapid increase in the number of malware variants and the frequ...Detecting malware on mobile devices using the Android operating system has become a critical challenge in the field of cybersecurity,in the context of the rapid increase in the number of malware variants and the frequency of attacks targeting Android devices.In this paper,we propose a novel intelligent computational method to enhance the effectiveness of Android malware detection models.The proposed method combines two main techniques:(1)constructing a malware behavior profile and(2)extracting features from the malware behavior profile using graph neural networks.Specifically,to effectively construct an Android malware behavior profile,this paper proposes an information enrichment technique for the function call graph of malware files,based on new graph-structured features and semantic features of the malware’s source code.Additionally,to extract significant features from the constructed behavior profile,the study proposes using the GraphSAGE graph neural network.With this novel intelligent computational method,a variety of significant features of the malware have been effectively represented,synthesized,and extracted.The approach to detecting Android malware proposed in this paper is a new study and has not been explored in previous research.The experimental results on a dataset of 40,819 Android software indicate that the proposed method performs well across all metrics,with particularly impressive accuracy and recall scores of 99.03%and 99.19%,respectively,which outperforms existing state-of-the-art methods.展开更多
Given a graph g=( V,A ) , we define a space of subgraphs M with the binary operation of union and the unique decomposition property into blocks. This space allows us to discuss a notion of minimal subgraphs (minimal c...Given a graph g=( V,A ) , we define a space of subgraphs M with the binary operation of union and the unique decomposition property into blocks. This space allows us to discuss a notion of minimal subgraphs (minimal coalitions) that are of interest for the game. Additionally, a partition of the game is defined in terms of the gain of each block, and subsequently, a solution to the game is defined based on distributing to each player (node and edge) present in each block a payment proportional to their contribution to the coalition.展开更多
基金Supported by the National Manned Space Flight Engineering Foundation of ChinaAdvance Research Project in Manned Spaceflight of China(No.010202)
文摘Objective：To comprehensively evaluate the health status of 6 volunteers from the Mars 500Project through analyzing their pulse graphs and determining the changes in cardiovascular function,degree of fatigue and autonomic nervous function.Methods：Six volunteers were recruited;all were male aged 26–38years（average 31.83±4.96 years）.Characteristic parameters reflecting the status of cardiovascular functions were extracted,which included left ventricular contraction,vascular elasticity and peripheral resistance.The degree of fatigue was determined depending on the difference between the calendar age and biological age,which was calculated through the analysis of blood pressure value and characteristic parameters.Based on the values of pulse height variation and pulse time variation on a 30-s pulse graph,autonomic nervous function was evaluated.All parameters examined were marked on an equilateral polygon to form an irregular polygon of the actual figure,then health status was evaluated based on the coverage area of the actual figure.Results：The results demonstrated：（1）volunteers developed weakened pulse power,increased vascular tension and peripheral resistance,and slight decreased ventricular systolic function;（2）the degree of fatigue was basically mild or moderate;and（3）autonomic nervous function was excited but generally balanced.Conclusions：These volunteers were in the state of sub-health.According to Chinese medicine theories,such symptoms are mainly caused by the weakening of healthy qi,Gan（Liver）failing in free coursing,and disharmony between Gan and Wei（Stomach）,which manifests as a weak and string-like pulse.
文摘Detecting malware on mobile devices using the Android operating system has become a critical challenge in the field of cybersecurity,in the context of the rapid increase in the number of malware variants and the frequency of attacks targeting Android devices.In this paper,we propose a novel intelligent computational method to enhance the effectiveness of Android malware detection models.The proposed method combines two main techniques:(1)constructing a malware behavior profile and(2)extracting features from the malware behavior profile using graph neural networks.Specifically,to effectively construct an Android malware behavior profile,this paper proposes an information enrichment technique for the function call graph of malware files,based on new graph-structured features and semantic features of the malware’s source code.Additionally,to extract significant features from the constructed behavior profile,the study proposes using the GraphSAGE graph neural network.With this novel intelligent computational method,a variety of significant features of the malware have been effectively represented,synthesized,and extracted.The approach to detecting Android malware proposed in this paper is a new study and has not been explored in previous research.The experimental results on a dataset of 40,819 Android software indicate that the proposed method performs well across all metrics,with particularly impressive accuracy and recall scores of 99.03%and 99.19%,respectively,which outperforms existing state-of-the-art methods.
文摘Given a graph g=( V,A ) , we define a space of subgraphs M with the binary operation of union and the unique decomposition property into blocks. This space allows us to discuss a notion of minimal subgraphs (minimal coalitions) that are of interest for the game. Additionally, a partition of the game is defined in terms of the gain of each block, and subsequently, a solution to the game is defined based on distributing to each player (node and edge) present in each block a payment proportional to their contribution to the coalition.
