Using Corpus of Contemporary American English as the source data,this paper carries out a corpus-based behavioral profile study to investigate four near-synonymous adjectives(serious,severe,grave,and grievous),focusin...Using Corpus of Contemporary American English as the source data,this paper carries out a corpus-based behavioral profile study to investigate four near-synonymous adjectives(serious,severe,grave,and grievous),focusing on their register and the types of nouns they each modify.Although sharing core meaning,these adjectives exhibit variations in formality levels and usage patterns.The identification of fine-grained usage differences complements the current inadequacies in describing these adjectives.Furthermore,the study reaffirms the effectiveness of the corpus-based behavioral profile approach in examining synonym differences.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
Several high performance tokamak operation regimes have been achieved experimentally in the experiments with the peaked density profiles. The regimes include the improved Ohmic confinement in ASDEX, the pellet enhance...Several high performance tokamak operation regimes have been achieved experimentally in the experiments with the peaked density profiles. The regimes include the improved Ohmic confinement in ASDEX, the pellet enhanced performance mode in Alcator-C, and the super-shot mode in TFTR. In these regimes, peaked core density profiles are always existent, and almost always go with the internal transport barriers, these barriers generally produced by sheared radial electric field. In addition to enhance confinement, the peaked density profile is also needed for the optimized fusion reaction rate and alpha heating power in tokamak plasma, and combined peaked density profile and peaked temperature profile, would make the ignition condition easy obtained. It is desirable to seek and analyze the density profile control schemes that effectively lead to density profile peaking in particle transports experimental investigation.展开更多
Objectives:Chronic stress can trigger neuroinflammation and gut microbiota alterations,contributing to post-stress disorders.Individual differences in stress responses,shaped by genetic and physiological factors,requi...Objectives:Chronic stress can trigger neuroinflammation and gut microbiota alterations,contributing to post-stress disorders.Individual differences in stress responses,shaped by genetic and physiological factors,require better characterization.We aimed to investigate the long-term effects of chronic stress in rats selectively bred for high and low nervous system excitability.Methods:Adult male rats from two strains selectively bred for high(HT)and low(LT)excitability thresholds of the nervous system underwent a 15-day chronic emotional-pain stress protocol.Behavioral assessments(elevated plusmaze),cytokine levels(TNF,IL-1β,IL-6,IL-10)in the hippocampus and amygdala measured by ELISA,glial fibrillary acidic protein(GFAP+)cell counts obtained via immunohistochemistry in the prefrontal cortex,hippocampus,and amygdala,and gutmicrobiota profiling(16S rRNAsequencing)were conducted on days 7 and 24 post-stress.Results:By day 24,LT rats exhibited reduced exploratory behavior,elevated proinflammatory cytokines,and decreased GFAP+cells across multiple brain regions.In contrast,HT rats exhibited an anxiety-like phenotype even in controls but showed increased exploratory activity after stress,without signs of brain inflammation;GFAP+reduction was limited to the hippocampus.Microbiota composition remained stable in LT rats but changed transiently in HT rats.Conclusion:Two distinct stress response patterns emerged:delayed neuroinflammatory and behavioral dysregulation with rigid microbiota in LT rats,vs.primarily behavioral changes with transient microbiota shifts in HT rats.These findings highlight the need to consider genetic excitability traits when modeling stress-related disorders and exploring potential therapeutic strategies.展开更多
文摘Using Corpus of Contemporary American English as the source data,this paper carries out a corpus-based behavioral profile study to investigate four near-synonymous adjectives(serious,severe,grave,and grievous),focusing on their register and the types of nouns they each modify.Although sharing core meaning,these adjectives exhibit variations in formality levels and usage patterns.The identification of fine-grained usage differences complements the current inadequacies in describing these adjectives.Furthermore,the study reaffirms the effectiveness of the corpus-based behavioral profile approach in examining synonym differences.
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Several high performance tokamak operation regimes have been achieved experimentally in the experiments with the peaked density profiles. The regimes include the improved Ohmic confinement in ASDEX, the pellet enhanced performance mode in Alcator-C, and the super-shot mode in TFTR. In these regimes, peaked core density profiles are always existent, and almost always go with the internal transport barriers, these barriers generally produced by sheared radial electric field. In addition to enhance confinement, the peaked density profile is also needed for the optimized fusion reaction rate and alpha heating power in tokamak plasma, and combined peaked density profile and peaked temperature profile, would make the ignition condition easy obtained. It is desirable to seek and analyze the density profile control schemes that effectively lead to density profile peaking in particle transports experimental investigation.
基金supported by the Priority 2030 Federal Academic Leadership Programat Immanuel Kant Baltic Federal Universityongoing federal budget funding to Pavlov Institute of Physiology of the Russian Academy of Sciences(No.1021062411629-7-3.1.4).
文摘Objectives:Chronic stress can trigger neuroinflammation and gut microbiota alterations,contributing to post-stress disorders.Individual differences in stress responses,shaped by genetic and physiological factors,require better characterization.We aimed to investigate the long-term effects of chronic stress in rats selectively bred for high and low nervous system excitability.Methods:Adult male rats from two strains selectively bred for high(HT)and low(LT)excitability thresholds of the nervous system underwent a 15-day chronic emotional-pain stress protocol.Behavioral assessments(elevated plusmaze),cytokine levels(TNF,IL-1β,IL-6,IL-10)in the hippocampus and amygdala measured by ELISA,glial fibrillary acidic protein(GFAP+)cell counts obtained via immunohistochemistry in the prefrontal cortex,hippocampus,and amygdala,and gutmicrobiota profiling(16S rRNAsequencing)were conducted on days 7 and 24 post-stress.Results:By day 24,LT rats exhibited reduced exploratory behavior,elevated proinflammatory cytokines,and decreased GFAP+cells across multiple brain regions.In contrast,HT rats exhibited an anxiety-like phenotype even in controls but showed increased exploratory activity after stress,without signs of brain inflammation;GFAP+reduction was limited to the hippocampus.Microbiota composition remained stable in LT rats but changed transiently in HT rats.Conclusion:Two distinct stress response patterns emerged:delayed neuroinflammatory and behavioral dysregulation with rigid microbiota in LT rats,vs.primarily behavioral changes with transient microbiota shifts in HT rats.These findings highlight the need to consider genetic excitability traits when modeling stress-related disorders and exploring potential therapeutic strategies.
