A series of novel self-dispreading phenoxy carboxylic acid derivatives were designed and synthesized by I2 catalyzed one-step reaction. Their structures were confirmed by IR, NMR, and HRMS. The derivatives can self-sp...A series of novel self-dispreading phenoxy carboxylic acid derivatives were designed and synthesized by I2 catalyzed one-step reaction. Their structures were confirmed by IR, NMR, and HRMS. The derivatives can self-spread and float on the water surface. Preliminary bioassays showed that some compounds, 3i–3p, had excellent herbicidal activities against water hyacinth. This strategy provided a novel approach for the water hyacinth control.展开更多
Purpose:To identify the potential target genes of blast lung injury(BLI)for the diagnosis and treatment.Methods:This is an experimental study.The BLI models in rats and goats were established by conducting a fuel-air ...Purpose:To identify the potential target genes of blast lung injury(BLI)for the diagnosis and treatment.Methods:This is an experimental study.The BLI models in rats and goats were established by conducting a fuel-air explosive power test in an unobstructed environment,which was subsequently validated through hematoxylin-eosin staining.Transcriptome sequencing was performed on lung tissues from both goats and rats.Differentially expressed genes were identified using the criteria ofq≤0.05 and|log2 fold change|≥1.Following that,enrichment analyses were conducted for gene ontology and the Kyoto Encyclopedia of Genes and Genomes pathways.The potential target genes were further confirmed through quantitative real-time polymerase chain reaction and enzyme linked immunosorbent assay.Results:Observations through microscopy unveiled the presence of reddish edema fluid,erythrocytes,and instances of focal or patchy bleeding within the alveolar cavity.Transcriptome sequencing analysis identified a total of 83 differentially expressed genes in both rats and goats.Notably,49 genes exhibited a consistent expression pattern,with 38 genes displaying up-regulation and 11 genes demonstrating down-regulation.Enrichment analysis highlighted the potential involvement of the interleukin-17 signaling pathway and vascular smooth muscle contraction pathway in the underlying mechanism of BLI.Furthermore,the experimental findings in both goats and rats demonstrated a strong association between BLI and several key genes,including anterior gradient 2,ankyrin repeat domain 65,bactericidal/permeability-increasing fold containing family A member 1,bactericidal/permeability-increasing fold containing family B member 1,and keratin 4,which exhibited up-regulation.Conclusions:Anterior gradient 2,ankyrin repeat domain 65,bactericidal/permeability-increasing fold containing family A member 1,bactericidal/permeability-increasing fold containing family B member 1,and keratin 4 hold potential as target genes for the prognosis,diagnosis,and treatment of BLI.展开更多
Purpose:Blast lung injury(BLI)is the most common damage resulted from explosion-derived shock wave in military,terrorism and industrial accidents.However,the molecular mechanisms underlying BLI induced by shock wave a...Purpose:Blast lung injury(BLI)is the most common damage resulted from explosion-derived shock wave in military,terrorism and industrial accidents.However,the molecular mechanisms underlying BLI induced by shock wave are still unclear.Methods:In this study,a goat BLI model was established by a fuel air explosive power.The key genes involved in were identified.The goats of the experimental group were fixed on the edge of the explosion cloud,while the goats of the control group were 3 km far away from the explosive environment.After successful modeling for 24 h,all the goats were sacrificed and the lung tissue was harvested for histopathological observation and RNA sequencing.Gene ontology(GO)and kyoto encyclopedia of genes and genomes(KEGG)analysis were performed to identify the main enriched biological functions of differentially expressed genes(DEGs).Quantitative real-time polymerase chain reaction(qRT-PCR)was used to verify the consistency of gene expression.Results:Of the sampled goat lungs,895 genes were identified to be significantly differentially expressed,and they were involved in 52 significantly enriched GO categories.KEGG analysis revealed that DEGs were highly enriched in 26 pathways,such as cytokine-cytokine receptor interaction,antifolate resistance,arachidonic acid metabolism,amoebiasis and bile secretion,JAK-STAT,and IL-17 signaling pathway.Furthermore,15 key DEGs involved in the biological processes of BLI were confirmed by qRTPCR,and the results were consistent with RNA sequencing.Conclusion:Gene expression profiling provide a better understanding of the molecular mechanisms of BLI,which will help to set strategy for treating lung injury and preventing secondary lung injury induced by shock wave.展开更多
Temporal networks are an effective way to encode temporal information into graph data losslessly.Finding the bursting cohesive subgraph(BCS),which accumulates its cohesiveness at the fastest rate,is an important probl...Temporal networks are an effective way to encode temporal information into graph data losslessly.Finding the bursting cohesive subgraph(BCS),which accumulates its cohesiveness at the fastest rate,is an important problem in temporal networks.The BCS has a large number of applications,such as representing emergency events in social media,traffic congestion in road networks and epidemic outbreak in communities.Nevertheless,existing methods demand the BCS lasting for a time interval,which neglects the timeliness of the BCS.In this paper,we design an early bursting cohesive subgraph(EBCS)model based on the k-core to enable identifying the burstiness as soon as possible.To find the EBCS,we first construct a time weight graph(TWG)to measure the bursting level by integrating the topological and temporal information.Then,we propose a global search algorithm,called GS-EBCS,which can find the exact EBCS by iteratively removing nodes from the TWG.Further,we propose a local search algorithm,named LS-EBCS,to find the EBCS by first expanding from a seed node until obtaining a candidate k-core and then refining the k-core to the result subgraph in an optimal time complexity.Subsequently,considering the situation that the massive temporal networks cannot be completely put into the memory,we first design an I/O method to build the TWG and then develop I/O efficient global search and local search algorithms,namely I/O-GS and I/O-LS respectively,to find the EBCS under the semi-external model.Extensive experiments,conducted on four real temporal networks,demonstrate the efficiency and effectiveness of our proposed algorithms.For example,on the DBLP dataset,I/O-LS and LS-EBCS have comparable running time,while the maximum memory usage of I/O-LS is only 6.5 MB,which is much smaller than that of LS-EBCS taking 308.7 MB.展开更多
基金supported by the Advanced Research Team Project of Jiangxi Province(20133BCB24011)Key Technology R&D Program of Jiangxi Province(No.20141BBG70070)Science Foundation of Jiangxi Provincial Department of Education(No.Gjj4669)
文摘A series of novel self-dispreading phenoxy carboxylic acid derivatives were designed and synthesized by I2 catalyzed one-step reaction. Their structures were confirmed by IR, NMR, and HRMS. The derivatives can self-spread and float on the water surface. Preliminary bioassays showed that some compounds, 3i–3p, had excellent herbicidal activities against water hyacinth. This strategy provided a novel approach for the water hyacinth control.
基金Natural Science Basis Research Plan in Shaanxi Province of China(Program No.2023-JC-YB-684).
文摘Purpose:To identify the potential target genes of blast lung injury(BLI)for the diagnosis and treatment.Methods:This is an experimental study.The BLI models in rats and goats were established by conducting a fuel-air explosive power test in an unobstructed environment,which was subsequently validated through hematoxylin-eosin staining.Transcriptome sequencing was performed on lung tissues from both goats and rats.Differentially expressed genes were identified using the criteria ofq≤0.05 and|log2 fold change|≥1.Following that,enrichment analyses were conducted for gene ontology and the Kyoto Encyclopedia of Genes and Genomes pathways.The potential target genes were further confirmed through quantitative real-time polymerase chain reaction and enzyme linked immunosorbent assay.Results:Observations through microscopy unveiled the presence of reddish edema fluid,erythrocytes,and instances of focal or patchy bleeding within the alveolar cavity.Transcriptome sequencing analysis identified a total of 83 differentially expressed genes in both rats and goats.Notably,49 genes exhibited a consistent expression pattern,with 38 genes displaying up-regulation and 11 genes demonstrating down-regulation.Enrichment analysis highlighted the potential involvement of the interleukin-17 signaling pathway and vascular smooth muscle contraction pathway in the underlying mechanism of BLI.Furthermore,the experimental findings in both goats and rats demonstrated a strong association between BLI and several key genes,including anterior gradient 2,ankyrin repeat domain 65,bactericidal/permeability-increasing fold containing family A member 1,bactericidal/permeability-increasing fold containing family B member 1,and keratin 4,which exhibited up-regulation.Conclusions:Anterior gradient 2,ankyrin repeat domain 65,bactericidal/permeability-increasing fold containing family A member 1,bactericidal/permeability-increasing fold containing family B member 1,and keratin 4 hold potential as target genes for the prognosis,diagnosis,and treatment of BLI.
基金This work was supported by Science and Technology Development Fund for Institute for Hygiene of Ordnance(KY202007).
文摘Purpose:Blast lung injury(BLI)is the most common damage resulted from explosion-derived shock wave in military,terrorism and industrial accidents.However,the molecular mechanisms underlying BLI induced by shock wave are still unclear.Methods:In this study,a goat BLI model was established by a fuel air explosive power.The key genes involved in were identified.The goats of the experimental group were fixed on the edge of the explosion cloud,while the goats of the control group were 3 km far away from the explosive environment.After successful modeling for 24 h,all the goats were sacrificed and the lung tissue was harvested for histopathological observation and RNA sequencing.Gene ontology(GO)and kyoto encyclopedia of genes and genomes(KEGG)analysis were performed to identify the main enriched biological functions of differentially expressed genes(DEGs).Quantitative real-time polymerase chain reaction(qRT-PCR)was used to verify the consistency of gene expression.Results:Of the sampled goat lungs,895 genes were identified to be significantly differentially expressed,and they were involved in 52 significantly enriched GO categories.KEGG analysis revealed that DEGs were highly enriched in 26 pathways,such as cytokine-cytokine receptor interaction,antifolate resistance,arachidonic acid metabolism,amoebiasis and bile secretion,JAK-STAT,and IL-17 signaling pathway.Furthermore,15 key DEGs involved in the biological processes of BLI were confirmed by qRTPCR,and the results were consistent with RNA sequencing.Conclusion:Gene expression profiling provide a better understanding of the molecular mechanisms of BLI,which will help to set strategy for treating lung injury and preventing secondary lung injury induced by shock wave.
基金the National Natural Science Foundation of China under Grant Nos.61902004,61772124,61732003,and 61977001the Project of Beijing Municipal Education Commission under Grant No.KM202010009009+1 种基金Innovative Talents of Higher Education in Liaoning Province under Grant No.LR2020076the Basic Research Operating Funds for National Defense Major Incubation Projects under Grant No.N2116017.
文摘Temporal networks are an effective way to encode temporal information into graph data losslessly.Finding the bursting cohesive subgraph(BCS),which accumulates its cohesiveness at the fastest rate,is an important problem in temporal networks.The BCS has a large number of applications,such as representing emergency events in social media,traffic congestion in road networks and epidemic outbreak in communities.Nevertheless,existing methods demand the BCS lasting for a time interval,which neglects the timeliness of the BCS.In this paper,we design an early bursting cohesive subgraph(EBCS)model based on the k-core to enable identifying the burstiness as soon as possible.To find the EBCS,we first construct a time weight graph(TWG)to measure the bursting level by integrating the topological and temporal information.Then,we propose a global search algorithm,called GS-EBCS,which can find the exact EBCS by iteratively removing nodes from the TWG.Further,we propose a local search algorithm,named LS-EBCS,to find the EBCS by first expanding from a seed node until obtaining a candidate k-core and then refining the k-core to the result subgraph in an optimal time complexity.Subsequently,considering the situation that the massive temporal networks cannot be completely put into the memory,we first design an I/O method to build the TWG and then develop I/O efficient global search and local search algorithms,namely I/O-GS and I/O-LS respectively,to find the EBCS under the semi-external model.Extensive experiments,conducted on four real temporal networks,demonstrate the efficiency and effectiveness of our proposed algorithms.For example,on the DBLP dataset,I/O-LS and LS-EBCS have comparable running time,while the maximum memory usage of I/O-LS is only 6.5 MB,which is much smaller than that of LS-EBCS taking 308.7 MB.
