Traffic characterization(e.g.,chat,video)and application identifi-cation(e.g.,FTP,Facebook)are two of the more crucial jobs in encrypted network traffic classification.These two activities are typically carried out se...Traffic characterization(e.g.,chat,video)and application identifi-cation(e.g.,FTP,Facebook)are two of the more crucial jobs in encrypted network traffic classification.These two activities are typically carried out separately by existing systems using separate models,significantly adding to the difficulty of network administration.Convolutional Neural Network(CNN)and Transformer are deep learning-based approaches for network traf-fic classification.CNN is good at extracting local features while ignoring long-distance information from the network traffic sequence,and Transformer can capture long-distance feature dependencies while ignoring local details.Based on these characteristics,a multi-task learning model that combines Transformer and 1D-CNN for encrypted traffic classification is proposed(MTC).In order to make up for the Transformer’s lack of local detail feature extraction capability and the 1D-CNN’s shortcoming of ignoring long-distance correlation information when processing traffic sequences,the model uses a parallel structure to fuse the features generated by the Transformer block and the 1D-CNN block with each other using a feature fusion block.This structure improved the representation of traffic features by both blocks and allows the model to perform well with both long and short length sequences.The model simultaneously handles multiple tasks,which lowers the cost of training.Experiments reveal that on the ISCX VPN-nonVPN dataset,the model achieves an average F1 score of 98.25%and an average recall of 98.30%for the task of identifying applications,and an average F1 score of 97.94%,and an average recall of 97.54%for the task of traffic characterization.When advanced models on the same dataset are chosen for comparison,the model produces the best results.To prove the generalization,we applied MTC to CICIDS2017 dataset,and our model also achieved good results.展开更多
To the editor,Sir,the emerging influenza infection is the present global concern.There are many new emerging influenza infections at present and those infections are usually problematic.Of several new infections,the m...To the editor,Sir,the emerging influenza infection is the present global concern.There are many new emerging influenza infections at present and those infections are usually problematic.Of several new infections,the most recent emerging ones include to H6N1,H5N6 and H10N8 influenza infections.To learn the natural history of those three new emerging infections is very interesting and can give the data for further referencing.Here,the展开更多
Dear editor,With interest we read the recent article on methemoglobinemia by Chan et al.[1]Through this letter,we would like to add few additional comments regarding methemoglobinemia and its relevance in medicine pra...Dear editor,With interest we read the recent article on methemoglobinemia by Chan et al.[1]Through this letter,we would like to add few additional comments regarding methemoglobinemia and its relevance in medicine practice with regards to food poisoning.While Chan et al[1]successfully managed their patient of methemoglobinemia and could pinpoint choy sum as the responsible agent,we wonder if there were any more cases of choy sum related to methemoglobinemia detected at the same time in the community?展开更多
Recently developed CRISPR-mediated base editors,which enable the generation of num erous nucleotide changes in target genomic regions,have been widely adopted for gene correction and generation of crop germ plasms con...Recently developed CRISPR-mediated base editors,which enable the generation of num erous nucleotide changes in target genomic regions,have been widely adopted for gene correction and generation of crop germ plasms containing im portant gain-of-function genetic variations.How ever,to engineer target genes with unknown functional SNPs remains challenging.To address this issue,we present here abase-e diting-mediated gene evolution(BEMGE)m ethod,employing both Cas9n-based cytosine and adenine base editors as well as a single-guide RNA(sgRNA)library tiling the full-length coding region,for developing novel rice germ plasm swith mutations in any endogenous gene.To this end,OsALS1 was artificially evolved in rice cells using BEMGE through both Agrobacterium-mediated and particle-bom bardment-mediated transform ation.Four different types of amino acid substitutions in the evolved OsALS1,derived from two sites that have never been targeted by natural or human selection during rice dom estication,were identified,conferring varying levels of tolerance to the herbicide bispyribac-sodium.Furtherm ore,the P171F substitution identified in a strong OsALS1 allele was quickly introduced into the commercial rice cultivar Nangeng 46 through precise base editing w ith the corresponding base editor and sgRNA.Collectively,these data indicate great potential of BEMGE in creating important genetic variants of target genes for crop improvement.展开更多
Dear editor,ADP-ribosylation is a post-translational modification catalysed by poly(ADP-ribose)polymerases(PARPs)and plays important roles in diverse biological processes,such as DNA repair,chromatin remodelling,telom...Dear editor,ADP-ribosylation is a post-translational modification catalysed by poly(ADP-ribose)polymerases(PARPs)and plays important roles in diverse biological processes,such as DNA repair,chromatin remodelling,telomere homeostasis,transcription,chromosome segregation,cell proliferation,and cell death[1,2].While much is known about the cellular roles of PARPs that catalyse polyADP ribosylation,the function of the PARPs that catalyse monoADP ribosylation is substantially less understood.展开更多
基金supported by the People’s Public Security University of China central basic scientific research business program(No.2021JKF206).
文摘Traffic characterization(e.g.,chat,video)and application identifi-cation(e.g.,FTP,Facebook)are two of the more crucial jobs in encrypted network traffic classification.These two activities are typically carried out separately by existing systems using separate models,significantly adding to the difficulty of network administration.Convolutional Neural Network(CNN)and Transformer are deep learning-based approaches for network traf-fic classification.CNN is good at extracting local features while ignoring long-distance information from the network traffic sequence,and Transformer can capture long-distance feature dependencies while ignoring local details.Based on these characteristics,a multi-task learning model that combines Transformer and 1D-CNN for encrypted traffic classification is proposed(MTC).In order to make up for the Transformer’s lack of local detail feature extraction capability and the 1D-CNN’s shortcoming of ignoring long-distance correlation information when processing traffic sequences,the model uses a parallel structure to fuse the features generated by the Transformer block and the 1D-CNN block with each other using a feature fusion block.This structure improved the representation of traffic features by both blocks and allows the model to perform well with both long and short length sequences.The model simultaneously handles multiple tasks,which lowers the cost of training.Experiments reveal that on the ISCX VPN-nonVPN dataset,the model achieves an average F1 score of 98.25%and an average recall of 98.30%for the task of identifying applications,and an average F1 score of 97.94%,and an average recall of 97.54%for the task of traffic characterization.When advanced models on the same dataset are chosen for comparison,the model produces the best results.To prove the generalization,we applied MTC to CICIDS2017 dataset,and our model also achieved good results.
文摘To the editor,Sir,the emerging influenza infection is the present global concern.There are many new emerging influenza infections at present and those infections are usually problematic.Of several new infections,the most recent emerging ones include to H6N1,H5N6 and H10N8 influenza infections.To learn the natural history of those three new emerging infections is very interesting and can give the data for further referencing.Here,the
文摘Dear editor,With interest we read the recent article on methemoglobinemia by Chan et al.[1]Through this letter,we would like to add few additional comments regarding methemoglobinemia and its relevance in medicine practice with regards to food poisoning.While Chan et al[1]successfully managed their patient of methemoglobinemia and could pinpoint choy sum as the responsible agent,we wonder if there were any more cases of choy sum related to methemoglobinemia detected at the same time in the community?
基金This work was supported by grants from the National Natural Science Foundation of China(31871948)the Fundamental Research Funds,and the Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences to H.Z.a grant from the Fundamental Research Funds for the Central Universities to S.L.
文摘Recently developed CRISPR-mediated base editors,which enable the generation of num erous nucleotide changes in target genomic regions,have been widely adopted for gene correction and generation of crop germ plasms containing im portant gain-of-function genetic variations.How ever,to engineer target genes with unknown functional SNPs remains challenging.To address this issue,we present here abase-e diting-mediated gene evolution(BEMGE)m ethod,employing both Cas9n-based cytosine and adenine base editors as well as a single-guide RNA(sgRNA)library tiling the full-length coding region,for developing novel rice germ plasm swith mutations in any endogenous gene.To this end,OsALS1 was artificially evolved in rice cells using BEMGE through both Agrobacterium-mediated and particle-bom bardment-mediated transform ation.Four different types of amino acid substitutions in the evolved OsALS1,derived from two sites that have never been targeted by natural or human selection during rice dom estication,were identified,conferring varying levels of tolerance to the herbicide bispyribac-sodium.Furtherm ore,the P171F substitution identified in a strong OsALS1 allele was quickly introduced into the commercial rice cultivar Nangeng 46 through precise base editing w ith the corresponding base editor and sgRNA.Collectively,these data indicate great potential of BEMGE in creating important genetic variants of target genes for crop improvement.
基金The National Natural Science Foundation of China(81972712 to J.W.and 81502106 to H.M.)supported this work.
文摘Dear editor,ADP-ribosylation is a post-translational modification catalysed by poly(ADP-ribose)polymerases(PARPs)and plays important roles in diverse biological processes,such as DNA repair,chromatin remodelling,telomere homeostasis,transcription,chromosome segregation,cell proliferation,and cell death[1,2].While much is known about the cellular roles of PARPs that catalyse polyADP ribosylation,the function of the PARPs that catalyse monoADP ribosylation is substantially less understood.
