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A prognostic four-gene signature and a therapeutic strategy for hepatocellular carcinoma:Construction and analysis of a circRNA-mediated competing endogenous RNA network
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作者 Hai-Yan Zhang Jia-Jie Zhu +3 位作者 Zong-Ming Liu Yu-Xuan Zhang Jia-Jia Chen Ke-Da Chen 《Hepatobiliary & Pancreatic Diseases International》 SCIE CAS CSCD 2024年第3期272-287,共16页
Background:Hepatocellular carcinoma(HCC)has a poor long-term prognosis.The competition of circular RNAs(circRNAs)with endogenous RNA is a novel tool for predicting HCC prognosis.Based on the alterations of circRNA reg... Background:Hepatocellular carcinoma(HCC)has a poor long-term prognosis.The competition of circular RNAs(circRNAs)with endogenous RNA is a novel tool for predicting HCC prognosis.Based on the alterations of circRNA regulatory networks,the analysis of gene modules related to HCC is feasible.Methods:Multiple expression datasets and RNA element targeting prediction tools were used to construct a circRNA-microRNA-mRNA network in HCC.Gene function,pathway,and protein interaction analyses were performed for the differentially expressed genes(DEGs)in this regulatory network.In the proteinprotein interaction network,hub genes were identified and subjected to regression analysis,producing an optimized four-gene signature for prognostic risk stratification in HCC patients.Anti-HCC drugs were excavated by assessing the DEGs between the low-and high-risk groups.A circRNA-microRNA-hub gene subnetwork was constructed,in which three hallmark genes,KIF4A,CCNA2,and PBK,were subjected to functional enrichment analysis.Results:A four-gene signature(KIF4A,CCNA2,PBK,and ZWINT)that effectively estimated the overall survival and aided in prognostic risk assessment in the The Cancer Genome Atlas(TCGA)cohort and International Cancer Genome Consortium(ICGC)cohort was developed.CDK inhibitors,PI3K inhibitors,HDAC inhibitors,and EGFR inhibitors were predicted as four potential mechanisms of drug action(MOA)in high-risk HCC patients.Subsequent analysis has revealed that PBK,CCNA2,and KIF4A play a crucial role in regulating the tumor microenvironment by promoting immune cell invasion,regulating microsatellite instability(MSI),and exerting an impact on HCC progression.Conclusions:The present study highlights the role of the circRNA-related regulatory network,identifies a four-gene prognostic signature and biomarkers,and further identifies novel therapy for HCC. 展开更多
关键词 Hepatocellular carcinoma circrnA-related ceRNA network Biomarker Least absolute shrinkage and selection operator BIOINFORMATICS
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Construction of the underlying circRNA-miRNA-mRNA regulatory network and a new diagnostic model in ulcerative colitis by bioinformatics analysis
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作者 Yu-Yi Yuan Hui Wu +2 位作者 Qian-Yun Chen Heng Fan Bo Shuai 《World Journal of Clinical Cases》 SCIE 2024年第9期1606-1621,共16页
BACKGROUND Circular RNAs(circRNAs)are involved in the pathogenesis of many diseases through competing endogenous RNA(ceRNA)regulatory mechanisms.AIM To investigate a circRNA-related ceRNA regulatory network and a new ... BACKGROUND Circular RNAs(circRNAs)are involved in the pathogenesis of many diseases through competing endogenous RNA(ceRNA)regulatory mechanisms.AIM To investigate a circRNA-related ceRNA regulatory network and a new predictive model by circRNA to understand the diagnostic mechanism of circRNAs in ulcerative colitis(UC).METHODS We obtained gene expression profiles of circRNAs,miRNAs,and mRNAs in UC from the Gene Expression Omnibus dataset.The circRNA-miRNA-mRNA network was constructed based on circRNA-miRNA and miRNA-mRNA interactions.Functional enrichment analysis was performed to identify the biological mechanisms involved in circRNAs.We identified the most relevant differential circRNAs for diagnosing UC and constructed a new predictive nomogram,whose efficacy was tested with the C-index,receiver operating characteristic curve(ROC),and decision curve analysis(DCA).RESULTS A circRNA-miRNA-mRNA regulatory network was obtained,containing 12 circRNAs,three miRNAs,and 38 mRNAs.Two optimal prognostic-related differentially expressed circRNAs,hsa_circ_0085323 and hsa_circ_0036906,were included to construct a predictive nomogram.The model showed good discrimination,with a C-index of 1(>0.9,high accuracy).ROC and DCA suggested that the nomogram had a beneficial diagnostic ability.CONCLUSION This novel predictive nomogram incorporating hsa_circ_0085323 and hsa_circ_0036906 can be conveniently used to predict the risk of UC.The circRNa-miRNA-mRNA network in UC could be more clinically significant. 展开更多
关键词 Circular RNAs RNA regulatory network Ulcerative colitis New predictive model BIOINFORMATICS DIAGNOSE
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CrN/TiAlN多层涂层的微观结构和摩擦磨损性能
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作者 田峰 段海涛 +4 位作者 潘邻 许鑫宇 秦江林 魏琴琴 罗国强 《中国表面工程》 EI CAS CSCD 北大核心 2024年第3期232-241,共10页
特种装备车辆往往在高速、高冲击等复杂环境下运行,底盘选装密封件表面容易被磨损造成密封失效,在密封工作面制备硬质涂层是提高服役寿命、延长维修周期的重要方法。采用物理气相沉积法在45#钢表面制备单层CrN涂层和不同过渡层厚度的多... 特种装备车辆往往在高速、高冲击等复杂环境下运行,底盘选装密封件表面容易被磨损造成密封失效,在密封工作面制备硬质涂层是提高服役寿命、延长维修周期的重要方法。采用物理气相沉积法在45#钢表面制备单层CrN涂层和不同过渡层厚度的多层CrN/TiAlN涂层,用X射线衍射仪、扫描电子显微镜、表面轮廓仪、纳米压痕仪和往复式摩擦磨损试验机,研究涂层的微观结构、机械性能和摩擦磨损性能。结果表明单层CrN涂层厚度为0.87μm,其硬度和模量最小为19.49 GPa和160.53 GPa。CrN/TiAlN多层涂层的硬度和模量明显提高,且随过渡层厚度增加而增大,4CrN/TiAlN涂层的硬度和模量可达到39.86 GPa和386.72 GPa。在空气环境下的摩擦磨损试验中,单层CrN涂层被快速破坏;CrN/TiAlN多层涂层的平均摩擦因数随着过渡层厚度的增加先增大后减小,最大磨损深度和磨痕截面积不断下降。4CrN/TiAlN涂层具有最优摩擦磨损性能,其平均摩擦因数为0.792 5,磨痕截面积为315.09μm^(2),磨损机理为磨粒磨损和少量粘着磨损。提高过渡层厚度能够降低基体的塑性变形,降低涂层与基体的物理性能差异,减少涂层开裂并提高涂层摩擦磨损性能。通过调控过渡层厚度获得性能优异的CrN/TiAlN多层涂层,研究成果可应用于车辆旋转密封件上,显著提高密封工作面耐磨损性能。 展开更多
关键词 45#钢 crn涂层 crn/TiAlN 多层涂层 耐磨性 磨损机制
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CrN涂层制备中氮气比例对耐磨抗黏附性能的影响
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作者 张齐松 赵中里 +4 位作者 吴大鸣 薛勇杰 汪杰 王胜利 单彦荣 《塑料》 CAS CSCD 北大核心 2024年第4期15-21,25,共8页
采用多弧离子镀技术在38CrMoAl样片表面制备CrN涂层,利用扫描电子显微镜、纳米压痕仪、摩擦磨损试验机、X射线衍射仪及接触角测量仪,研究了氮气比例对CrN涂层耐磨抗黏性能的影响。结果表明,随着氮气比例的增加,CrN涂层由Cr、Cr_(2)N和Cr... 采用多弧离子镀技术在38CrMoAl样片表面制备CrN涂层,利用扫描电子显微镜、纳米压痕仪、摩擦磨损试验机、X射线衍射仪及接触角测量仪,研究了氮气比例对CrN涂层耐磨抗黏性能的影响。结果表明,随着氮气比例的增加,CrN涂层由Cr、Cr_(2)N和CrN的混合相向CrN单相转变;CrN涂层磨损率远低于基体磨损率,CrN⁃65涂层的磨损率最低仅为1.01×10^(-6)mm^(3)/(N·m),低于基体磨损率一个数量级。所有CrN涂层表面均表现出疏水性;聚碳酸酯(PC)熔体高温接触角试验中,CrN⁃15涂层与PC熔体的高温接触角最高为110.8°,高于基体的102.2°;经过低温退火处理后,所有表面与PC熔体的高温接触角均降低,但是CrN⁃15涂层退火后仍能保持最高的高温接触角(102.9°),明显高于退火后基体的高温接触角(85.3°),表现出最佳的抗黏附性能。CrN⁃15涂层表现出较好的耐磨性和抗黏附性,综合性能较好,为CrN涂层在塑料加工螺杆和注塑模具表面应用提供一定的技术支撑。 展开更多
关键词 电弧离子镀 crn 耐磨性 塑料熔体 抗黏附性
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不同黏度合成油下CrN/TiN多层薄膜的摩擦学特性研究
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作者 张全德 陈庆春 +3 位作者 苏桐 赵勤 郭峰 王晓波 《表面技术》 EI CAS CSCD 北大核心 2024年第11期171-180,共10页
目的探究在不同黏度合成酯润滑油的作用下,CrN/TiN多层薄膜的摩擦学性能及协同润滑机制。方法选用聚α烯烃(PAO)与三羟甲基丙烷辛癸酸酯(TME)复配,得到不同黏度梯度的合成油。利用全自动黏度测定仪、倾点测试仪、开口闪点测定器和傅里... 目的探究在不同黏度合成酯润滑油的作用下,CrN/TiN多层薄膜的摩擦学性能及协同润滑机制。方法选用聚α烯烃(PAO)与三羟甲基丙烷辛癸酸酯(TME)复配,得到不同黏度梯度的合成油。利用全自动黏度测定仪、倾点测试仪、开口闪点测定器和傅里叶变换红外光谱仪(FTIR)分别对合成油的运动黏度(40、100℃)、倾点、闪点和表面官能团进行表征。利用反应磁控溅射技术在316不锈钢和单晶硅片基底表面制备CrN/TiN多层薄膜。采用X射线衍射仪和FIB-TEM表征手段对薄膜的微观结构进行分析,并用纳米压痕仪和划痕仪测试了薄膜的力学性能。利用球-盘式摩擦试验机表征薄膜在干摩擦和油润滑条件下的摩擦学性能,利用XPS对摩擦实验后的磨痕元素价态进行表征。结果CrN/TiN薄膜具有典型的面心立方结构(FCC)、异质多层结构,且其硬度可达32.2 GPa。在干摩擦条件下,与裸316基体相比,经表面镀制CrN/TiN薄膜后平均摩擦因数由0.95降至0.71,磨损深度由25.0μm降至16.8μm。在合成油作用下,316不锈钢-GCr15钢球(钢-钢摩擦副)、CrN/TiN多层薄膜-GCr15钢球(CrN/TiN多层薄膜-钢摩擦副)2种摩擦配副的摩擦因数和磨损率随着合成油黏度的增加均呈现降低趋势,且在同一黏度条件下薄膜试样的磨损率更低。结论CrN/TiN多层薄膜在PAO与TME复配获得的一系列不同黏度合成油的作用下,随着合成油黏度的增加,薄膜的磨损率和磨损深度逐渐下降,其减摩抗磨性能得到显著提升。通过磨痕表面的XPS分析可知,合成油中极性的酯基吸附在滑动界面,增强了油膜的承载性能,从而减缓了对偶间的摩擦阻力。 展开更多
关键词 crn/TiN多层薄膜 聚α烯烃 多元醇酯 摩擦学性能 固-液复合润滑
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LncRNAs exert indispensable roles in orchestrating the interaction among diverse noncoding RNAs and enrich the regulatory network of plant growth and its adaptive environmental stress response 被引量:1
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作者 Lingling Zhang Tao Lin +3 位作者 Guoning Zhu Bin Wu Chunjiao Zhang Hongliang Zhu 《Horticulture Research》 SCIE CSCD 2023年第12期304-315,共12页
With the advent of advanced sequencing technologies,non-coding RNAs(ncRNAs)are increasingly pivotal and play highly regulated roles in the modulation of diverse aspects of plant growth and stress response.This include... With the advent of advanced sequencing technologies,non-coding RNAs(ncRNAs)are increasingly pivotal and play highly regulated roles in the modulation of diverse aspects of plant growth and stress response.This includes a spectrum of ncRNA classes,ranging from small RNAs to long non-coding RNAs(lncRNAs).Notably,among these,lncRNAs emerge as significant and intricate components within the broader ncRNA regulatory networks.Here,we categorize ncRNAs based on their length and structure into small RNAs,medium-sized ncRNAs,lncRNAs,and circle RNAs.Furthermore,the review delves into the detailed biosynthesis and origin of these ncRNAs.Subsequently,we emphasize the diverse regulatory mechanisms employed by lncRNAs that are located at various gene regions of coding genes,embodying promoters,5’UTRs,introns,exons,and 3’UTR regions.Furthermore,we elucidate these regulatory modes through one or two concrete examples.Besides,lncRNAs have emerged as novel central components that participate in phase separation processes.Moreover,we illustrate the coordinated regulatory mechanisms among lncRNAs,miRNAs,and siRNAs with a particular emphasis on the central role of lncRNAs in serving as sponges,precursors,spliceosome,stabilization,scaffolds,or interaction factors to bridge interactions with other ncRNAs.The review also sheds light on the intriguing possibility that some ncRNAs may encode functional micropeptides.Therefore,the review underscores the emergent roles of ncRNAs as potent regulatory factors that significantly enrich the regulatory network governing plant growth,development,and responses to environmental stimuli.There are yet-to-be-discovered roles of ncRNAs waiting for us to explore. 展开更多
关键词 INTERACTION STRESS network
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沉积温度对CrN涂层干摩擦及大豆油润滑下摩擦学性能的影响
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作者 李阳 孙会来 +2 位作者 杨淑燕 曹磊 万勇 《润滑与密封》 CAS CSCD 北大核心 2024年第4期103-110,共8页
为探究沉积温度对CrN涂层摩擦学性能的影响,同时寻找适合CrN涂层润滑的绿色润滑剂,采用磁控溅射技术在不同温度下制备CrN涂层。利用X射线衍射仪、扫描电子显微镜、AFM原子力显微镜、划痕仪、纳米压痕仪和摩擦磨损试验机评价涂层的微观... 为探究沉积温度对CrN涂层摩擦学性能的影响,同时寻找适合CrN涂层润滑的绿色润滑剂,采用磁控溅射技术在不同温度下制备CrN涂层。利用X射线衍射仪、扫描电子显微镜、AFM原子力显微镜、划痕仪、纳米压痕仪和摩擦磨损试验机评价涂层的微观结构、力学性能,以及在干摩擦及大豆油润滑条件下的摩擦磨损性能。结果表明:在250℃下沉积的CrN涂层具有最致密的晶状结构,且力学性能最优。摩擦试验结果显示,在干摩擦和大豆油润滑下250℃下沉积的CrN涂层表现出最优的摩擦学特性。XPS分析表明,由于摩擦的存在,大豆油会在涂层表面发生摩擦化学反应并生成一层化学吸附膜,从而能有效减轻涂层的摩擦和磨损。250℃下沉积的CrN涂层具有最优的力学及摩擦学性能,且大豆油极为适合CrN涂层的润滑。 展开更多
关键词 crn涂层 沉积温度 力学性能 大豆油 摩擦学性能
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SUS321不锈钢表面Cr/CrN涂层的制备与抗氧化及耐腐蚀研究
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作者 张林嘉 卢婷 +2 位作者 李恒 李亚茹 许海龙 《热加工工艺》 北大核心 2024年第6期149-156,共8页
采用磁控溅射技术,在SUS321不锈钢表面制备Cr/Cr N涂层,利用扫描电子显微镜(SEM)、X射线衍射仪(XRD)及分析天平等分别表征样品高温氧化及酸性盐雾腐蚀实验后的微结构及增重。结果表明,当磁控溅射气体分压比为P_(Ar)/P_(N_(2))=3∶1的涂... 采用磁控溅射技术,在SUS321不锈钢表面制备Cr/Cr N涂层,利用扫描电子显微镜(SEM)、X射线衍射仪(XRD)及分析天平等分别表征样品高温氧化及酸性盐雾腐蚀实验后的微结构及增重。结果表明,当磁控溅射气体分压比为P_(Ar)/P_(N_(2))=3∶1的涂层样品抗氧化性能及耐腐蚀性能最佳。在此基础上通过循环沉积制备了多层Cr/CrN涂层,6周期涂层样品在600℃氧化200 h后的单位面积增重为3.599 g/m^(2),表面氧化膜致密,没有出现剥落现象;6周期的涂层样品在酸性盐雾环境中能够保持480 h表面无变化,在放置500 h后边缘部位才开始出现轻微锈迹。固定磁控溅射气体分压比为P_(Ar)/P_(N_(2))=3∶1时,制备的6周期Cr/CrN多层膜涂层具有最佳的抗氧化及耐酸性盐雾腐蚀性能。 展开更多
关键词 SUS321不锈钢 磁控溅射 Cr/crn涂层 抗氧化性能 耐腐蚀性能
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Pluggable multitask diffractive neural networks based on cascaded metasurfaces 被引量:4
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作者 Cong He Dan Zhao +8 位作者 Fei Fan Hongqiang Zhou Xin Li Yao Li Junjie Li Fei Dong Yin-Xiao Miao Yongtian Wang Lingling Huang 《Opto-Electronic Advances》 SCIE EI CAS CSCD 2024年第2期23-31,共9页
Optical neural networks have significant advantages in terms of power consumption,parallelism,and high computing speed,which has intrigued extensive attention in both academic and engineering communities.It has been c... Optical neural networks have significant advantages in terms of power consumption,parallelism,and high computing speed,which has intrigued extensive attention in both academic and engineering communities.It has been considered as one of the powerful tools in promoting the fields of imaging processing and object recognition.However,the existing optical system architecture cannot be reconstructed to the realization of multi-functional artificial intelligence systems simultaneously.To push the development of this issue,we propose the pluggable diffractive neural networks(P-DNN),a general paradigm resorting to the cascaded metasurfaces,which can be applied to recognize various tasks by switching internal plug-ins.As the proof-of-principle,the recognition functions of six types of handwritten digits and six types of fashions are numerical simulated and experimental demonstrated at near-infrared regimes.Encouragingly,the proposed paradigm not only improves the flexibility of the optical neural networks but paves the new route for achieving high-speed,low-power and versatile artificial intelligence systems. 展开更多
关键词 optical neural networks diffractive deep neural networks cascaded metasurfaces
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Screening biomarkers for spinal cord injury using weighted gene co-expression network analysis and machine learning 被引量:5
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作者 Xiaolu Li Ye Yang +3 位作者 Senming Xu Yuchang Gui Jianmin Chen Jianwen Xu 《Neural Regeneration Research》 SCIE CAS CSCD 2024年第12期2723-2734,共12页
Immune changes and inflammatory responses have been identified as central events in the pathological process of spinal co rd injury.They can greatly affect nerve regeneration and functional recovery.However,there is s... Immune changes and inflammatory responses have been identified as central events in the pathological process of spinal co rd injury.They can greatly affect nerve regeneration and functional recovery.However,there is still limited understanding of the peripheral immune inflammato ry response in spinal cord inju ry.In this study.we obtained microRNA expression profiles from the peripheral blood of patients with spinal co rd injury using high-throughput sequencing.We also obtained the mRNA expression profile of spinal cord injury patients from the Gene Expression Omnibus(GEO)database(GSE151371).We identified 54 differentially expressed microRNAs and 1656 diffe rentially expressed genes using bioinformatics approaches.Functional enrichment analysis revealed that various common immune and inflammation-related signaling pathways,such as neutrophil extracellular trap formation pathway,T cell receptor signaling pathway,and nuclear factor-κB signal pathway,we re abnormally activated or inhibited in spinal cord inju ry patient samples.We applied an integrated strategy that combines weighted gene co-expression network analysis,LASSO logistic regression,and SVM-RFE algorithm and identified three biomarke rs associated with spinal cord injury:ANO10,BST1,and ZFP36L2.We verified the expression levels and diagnostic perfo rmance of these three genes in the original training dataset and clinical samples through the receiver operating characteristic curve.Quantitative polymerase chain reaction results showed that ANO20 and BST1 mRNA levels were increased and ZFP36L2 mRNA was decreased in the peripheral blood of spinal cord injury patients.We also constructed a small RNA-mRNA interaction network using Cytoscape.Additionally,we evaluated the proportion of 22 types of immune cells in the peripheral blood of spinal co rd injury patients using the CIBERSORT tool.The proportions of naive B cells,plasma cells,monocytes,and neutrophils were increased while the proportions of memory B cells,CD8^(+)T cells,resting natural killer cells,resting dendritic cells,and eosinophils were markedly decreased in spinal cord injury patients increased compared with healthy subjects,and ANO10,BST1 and ZFP26L2we re closely related to the proportion of certain immune cell types.The findings from this study provide new directions for the development of treatment strategies related to immune inflammation in spinal co rd inju ry and suggest that ANO10,BST2,and ZFP36L2 are potential biomarkers for spinal cord injury.The study was registe red in the Chinese Clinical Trial Registry(registration No.ChiCTR2200066985,December 12,2022). 展开更多
关键词 bioinformatics analysis BIOMARKER CIBERSORT GEO dataset LASSO miRNA-mRNA network RNA sequencing spinal cord injury SVM-RFE weighted gene co-expression network analysis
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Social-ecological perspective on the suicidal behaviour factors of early adolescents in China:a network analysis 被引量:4
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作者 Yuan Li Peiying Li +5 位作者 Mengyuan Yuan Yonghan Li Xueying Zhang Juan Chen Gengfu Wang Puyu Su 《General Psychiatry》 CSCD 2024年第1期143-150,共8页
Background In early adolescence,youth are highly prone to suicidal behaviours.Identifying modifiable risk factors during this critical phase is a priority to inform effective suicide prevention strategies.Aims To expl... Background In early adolescence,youth are highly prone to suicidal behaviours.Identifying modifiable risk factors during this critical phase is a priority to inform effective suicide prevention strategies.Aims To explore the risk and protective factors of suicidal behaviours(ie,suicidal ideation,plans and attempts)in early adolescence in China using a social-ecological perspective.Methods Using data from the cross-sectional project‘Healthy and Risky Behaviours Among Middle School Students in Anhui Province,China',stratified random cluster sampling was used to select 5724 middle school students who had completed self-report questionnaires in November 2020.Network analysis was employed to examine the correlates of suicidal ideation,plans and attempts at four levels,namely individual(sex,academic performance,serious physical llness/disability,history of self-harm,depression,impulsivity,sleep problems,resilience),family(family economic status,relationship with mother,relationship with father,family violence,childhood abuse,parental mental illness),school(relationship with teachers,relationship with classmates,school-bullying victimisation and perpetration)and social(social support,satisfaction with society).Results In total,37.9%,19.0%and 5.5%of the students reported suicidal ideation,plans and attempts in the past 6 months,respectively.The estimated network revealed that suicidal ideation,plans and attempts were collectively associated with a history of self-harm,sleep problems,childhood abuse,school bullying and victimisation.Centrality analysis indicated that the most influential nodes in the network were history of self-harm and childhood abuse.Notably,the network also showed unique correlates of suicidal ideation(sex,weight=0.60;impulsivity,weight=0.24;family violence,weight=0.17;relationship with teachers,weight=-0.03;school-bullying perpetration,weight=0.22),suicidal plans(social support,weight=-0.15)and suicidal attempts(relationship with mother,weight=-0.10;parental mental llness,weight=0.61).Conclusions This study identified the correlates of suicidal ideation,plans and attempts,and provided practical implications for suicide prevention for young adolescents in China.Firstly,this study highlighted the importance of joint interventions across multiple departments.Secondly,the common risk factors of suicidal ideation,plans and attempts were elucidated.Thirdly,this study proposed target interventions to address the unique influencing factors of suicidal ideation,plans and attempts. 展开更多
关键词 network ANALYSIS PREVENTION
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Image super‐resolution via dynamic network 被引量:1
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作者 Chunwei Tian Xuanyu Zhang +2 位作者 Qi Zhang Mingming Yang Zhaojie Ju 《CAAI Transactions on Intelligence Technology》 SCIE EI 2024年第4期837-849,共13页
Convolutional neural networks depend on deep network architectures to extract accurate information for image super‐resolution.However,obtained information of these con-volutional neural networks cannot completely exp... Convolutional neural networks depend on deep network architectures to extract accurate information for image super‐resolution.However,obtained information of these con-volutional neural networks cannot completely express predicted high‐quality images for complex scenes.A dynamic network for image super‐resolution(DSRNet)is presented,which contains a residual enhancement block,wide enhancement block,feature refine-ment block and construction block.The residual enhancement block is composed of a residual enhanced architecture to facilitate hierarchical features for image super‐resolution.To enhance robustness of obtained super‐resolution model for complex scenes,a wide enhancement block achieves a dynamic architecture to learn more robust information to enhance applicability of an obtained super‐resolution model for varying scenes.To prevent interference of components in a wide enhancement block,a refine-ment block utilises a stacked architecture to accurately learn obtained features.Also,a residual learning operation is embedded in the refinement block to prevent long‐term dependency problem.Finally,a construction block is responsible for reconstructing high‐quality images.Designed heterogeneous architecture can not only facilitate richer structural information,but also be lightweight,which is suitable for mobile digital devices.Experimental results show that our method is more competitive in terms of performance,recovering time of image super‐resolution and complexity.The code of DSRNet can be obtained at https://github.com/hellloxiaotian/DSRNet. 展开更多
关键词 CNN dynamic network image super‐resolution lightweight network
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Mapping Network-Coordinated Stacked Gated Recurrent Units for Turbulence Prediction 被引量:1
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作者 Zhiming Zhang Shangce Gao +2 位作者 MengChu Zhou Mengtao Yan Shuyang Cao 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第6期1331-1341,共11页
Accurately predicting fluid forces acting on the sur-face of a structure is crucial in engineering design.However,this task becomes particularly challenging in turbulent flow,due to the complex and irregular changes i... Accurately predicting fluid forces acting on the sur-face of a structure is crucial in engineering design.However,this task becomes particularly challenging in turbulent flow,due to the complex and irregular changes in the flow field.In this study,we propose a novel deep learning method,named mapping net-work-coordinated stacked gated recurrent units(MSU),for pre-dicting pressure on a circular cylinder from velocity data.Specifi-cally,our coordinated learning strategy is designed to extract the most critical velocity point for prediction,a process that has not been explored before.In our experiments,MSU extracts one point from a velocity field containing 121 points and utilizes this point to accurately predict 100 pressure points on the cylinder.This method significantly reduces the workload of data measure-ment in practical engineering applications.Our experimental results demonstrate that MSU predictions are highly similar to the real turbulent data in both spatio-temporal and individual aspects.Furthermore,the comparison results show that MSU predicts more precise results,even outperforming models that use all velocity field points.Compared with state-of-the-art methods,MSU has an average improvement of more than 45%in various indicators such as root mean square error(RMSE).Through comprehensive and authoritative physical verification,we estab-lished that MSU’s prediction results closely align with pressure field data obtained in real turbulence fields.This confirmation underscores the considerable potential of MSU for practical applications in real engineering scenarios.The code is available at https://github.com/zhangzm0128/MSU. 展开更多
关键词 Convolutional neural network deep learning recurrent neural network turbulence prediction wind load predic-tion.
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Applying an Improved Dung Beetle Optimizer Algorithm to Network Traffic Identification 被引量:1
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作者 Qinyue Wu Hui Xu Mengran Liu 《Computers, Materials & Continua》 SCIE EI 2024年第3期4091-4107,共17页
Network traffic identification is critical for maintaining network security and further meeting various demands of network applications.However,network traffic data typically possesses high dimensionality and complexi... Network traffic identification is critical for maintaining network security and further meeting various demands of network applications.However,network traffic data typically possesses high dimensionality and complexity,leading to practical problems in traffic identification data analytics.Since the original Dung Beetle Optimizer(DBO)algorithm,Grey Wolf Optimization(GWO)algorithm,Whale Optimization Algorithm(WOA),and Particle Swarm Optimization(PSO)algorithm have the shortcomings of slow convergence and easily fall into the local optimal solution,an Improved Dung Beetle Optimizer(IDBO)algorithm is proposed for network traffic identification.Firstly,the Sobol sequence is utilized to initialize the dung beetle population,laying the foundation for finding the global optimal solution.Next,an integration of levy flight and golden sine strategy is suggested to give dung beetles a greater probability of exploring unvisited areas,escaping from the local optimal solution,and converging more effectively towards a global optimal solution.Finally,an adaptive weight factor is utilized to enhance the search capabilities of the original DBO algorithm and accelerate convergence.With the improvements above,the proposed IDBO algorithm is then applied to traffic identification data analytics and feature selection,as so to find the optimal subset for K-Nearest Neighbor(KNN)classification.The simulation experiments use the CICIDS2017 dataset to verify the effectiveness of the proposed IDBO algorithm and compare it with the original DBO,GWO,WOA,and PSO algorithms.The experimental results show that,compared with other algorithms,the accuracy and recall are improved by 1.53%and 0.88%in binary classification,and the Distributed Denial of Service(DDoS)class identification is the most effective in multi-classification,with an improvement of 5.80%and 0.33%for accuracy and recall,respectively.Therefore,the proposed IDBO algorithm is effective in increasing the efficiency of traffic identification and solving the problem of the original DBO algorithm that converges slowly and falls into the local optimal solution when dealing with high-dimensional data analytics and feature selection for network traffic identification. 展开更多
关键词 network security network traffic identification data analytics feature selection dung beetle optimizer
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Computing Power Network:A Survey 被引量:1
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作者 Sun Yukun Lei Bo +4 位作者 Liu Junlin Huang Haonan Zhang Xing Peng Jing Wang Wenbo 《China Communications》 SCIE CSCD 2024年第9期109-145,共37页
With the rapid development of cloud computing,edge computing,and smart devices,computing power resources indicate a trend of ubiquitous deployment.The traditional network architecture cannot efficiently leverage these... With the rapid development of cloud computing,edge computing,and smart devices,computing power resources indicate a trend of ubiquitous deployment.The traditional network architecture cannot efficiently leverage these distributed computing power resources due to computing power island effect.To overcome these problems and improve network efficiency,a new network computing paradigm is proposed,i.e.,Computing Power Network(CPN).Computing power network can connect ubiquitous and heterogenous computing power resources through networking to realize computing power scheduling flexibly.In this survey,we make an exhaustive review on the state-of-the-art research efforts on computing power network.We first give an overview of computing power network,including definition,architecture,and advantages.Next,a comprehensive elaboration of issues on computing power modeling,information awareness and announcement,resource allocation,network forwarding,computing power transaction platform and resource orchestration platform is presented.The computing power network testbed is built and evaluated.The applications and use cases in computing power network are discussed.Then,the key enabling technologies for computing power network are introduced.Finally,open challenges and future research directions are presented as well. 展开更多
关键词 computing power modeling computing power network computing power scheduling information awareness network forwarding
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IDS-INT:Intrusion detection system using transformer-based transfer learning for imbalanced network traffic 被引量:3
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作者 Farhan Ullah Shamsher Ullah +1 位作者 Gautam Srivastava Jerry Chun-Wei Lin 《Digital Communications and Networks》 SCIE CSCD 2024年第1期190-204,共15页
A network intrusion detection system is critical for cyber security against llegitimate attacks.In terms of feature perspectives,network traffic may include a variety of elements such as attack reference,attack type,a... A network intrusion detection system is critical for cyber security against llegitimate attacks.In terms of feature perspectives,network traffic may include a variety of elements such as attack reference,attack type,a subcategory of attack,host information,malicious scripts,etc.In terms of network perspectives,network traffic may contain an imbalanced number of harmful attacks when compared to normal traffic.It is challenging to identify a specific attack due to complex features and data imbalance issues.To address these issues,this paper proposes an Intrusion Detection System using transformer-based transfer learning for Imbalanced Network Traffic(IDS-INT).IDS-INT uses transformer-based transfer learning to learn feature interactions in both network feature representation and imbalanced data.First,detailed information about each type of attack is gathered from network interaction descriptions,which include network nodes,attack type,reference,host information,etc.Second,the transformer-based transfer learning approach is developed to learn detailed feature representation using their semantic anchors.Third,the Synthetic Minority Oversampling Technique(SMOTE)is implemented to balance abnormal traffic and detect minority attacks.Fourth,the Convolution Neural Network(CNN)model is designed to extract deep features from the balanced network traffic.Finally,the hybrid approach of the CNN-Long Short-Term Memory(CNN-LSTM)model is developed to detect different types of attacks from the deep features.Detailed experiments are conducted to test the proposed approach using three standard datasets,i.e.,UNsWNB15,CIC-IDS2017,and NSL-KDD.An explainable AI approach is implemented to interpret the proposed method and develop a trustable model. 展开更多
关键词 network intrusion detection Transfer learning Features extraction Imbalance data Explainable AI CYBERSECURITY
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A circRNA–miRNA–mRNA network analysis underlying pathogenesis of human heart failure
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作者 Ran XU Jian WU +5 位作者 Chun-Jie YANG Le KANG Yu-Yao JI Chang LI Zhi-Wen DING Yun-Zeng ZOU 《Journal of Geriatric Cardiology》 SCIE CAS CSCD 2023年第5期350-360,共11页
BACKGROUND The molecular mechanisms of heart failure(HF) are still poorly understood. Circular RNA(circRNA) has been discovered in the heart in increasing numbers of studies. The goal of this research is to learn more... BACKGROUND The molecular mechanisms of heart failure(HF) are still poorly understood. Circular RNA(circRNA) has been discovered in the heart in increasing numbers of studies. The goal of this research is to learn more about the potential roles of circRNAs in HF.METHODS & RESULTS We used RNA sequencing data to identify the characteristics of circRNAs expressed in the heart and discovered that the majority of circRNAs screened were less than 2000 nt. Additionally, chromosomes One and Y had the most and least number of circRNAs, respectively. After excluding duplicate host genes and intergenic circRNAs, a total of 238 differentially expressed circRNAs(DECs) and 203 host genes were discovered. However, only four of the 203 host genes of DECs were examined in HF differentially expressed genes. Another study used Gene Oncology analysis of DECs host genes to elucidate the underlying pathogenesis of HF, and it found that binding and catalytic activity accounted for a large portion of DECs. Immune system, metabolism, and signal transduction pathways were significantly enriched. Furthermore, 1052 potentially regulated miRNAs from the top 40 DECs were collected to build a circRNA-mi RNA network, and it was discovered that 470 miRNAs can be regulated by multiple circRNAs, while others are regulated by a single circRNA. In addition, a comparison of the top 10m RNAs in HF and their targeted miRNAs revealed that DDX3Y and UTY were regulated by the most and least circRNA, respectively.CONCLUSION These findings demonstrated circRNAs have species and tissue specific expression patterns;while circRNA expression is independent on host genes, the same types of genes in DECs and DEGs worked in HF. Our findings would contribute to a better understanding of the critical roles of circRNAs and lay the groundwork for future studies of HF molecular functions. 展开更多
关键词 PATHOGENESIS METABOLISM network
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Activation Redistribution Based Hybrid Asymmetric Quantization Method of Neural Networks 被引量:1
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作者 Lu Wei Zhong Ma Chaojie Yang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第1期981-1000,共20页
The demand for adopting neural networks in resource-constrained embedded devices is continuously increasing.Quantization is one of the most promising solutions to reduce computational cost and memory storage on embedd... The demand for adopting neural networks in resource-constrained embedded devices is continuously increasing.Quantization is one of the most promising solutions to reduce computational cost and memory storage on embedded devices.In order to reduce the complexity and overhead of deploying neural networks on Integeronly hardware,most current quantization methods use a symmetric quantization mapping strategy to quantize a floating-point neural network into an integer network.However,although symmetric quantization has the advantage of easier implementation,it is sub-optimal for cases where the range could be skewed and not symmetric.This often comes at the cost of lower accuracy.This paper proposed an activation redistribution-based hybrid asymmetric quantizationmethod for neural networks.The proposedmethod takes data distribution into consideration and can resolve the contradiction between the quantization accuracy and the ease of implementation,balance the trade-off between clipping range and quantization resolution,and thus improve the accuracy of the quantized neural network.The experimental results indicate that the accuracy of the proposed method is 2.02%and 5.52%higher than the traditional symmetric quantization method for classification and detection tasks,respectively.The proposed method paves the way for computationally intensive neural network models to be deployed on devices with limited computing resources.Codes will be available on https://github.com/ycjcy/Hybrid-Asymmetric-Quantization. 展开更多
关键词 QUANTIZATION neural network hybrid asymmetric ACCURACY
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Insights into microbiota community dynamics and flavor development mechanism during golden pomfret(Trachinotus ovatus)fermentation based on single-molecule real-time sequencing and molecular networking analysis 被引量:2
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作者 Yueqi Wang Qian Chen +5 位作者 Huan Xiang Dongxiao Sun-Waterhouse Shengjun Chen Yongqiang Zhao Laihao Li Yanyan Wu 《Food Science and Human Wellness》 SCIE CSCD 2024年第1期101-114,共14页
Popular fermented golden pomfret(Trachinotus ovatus)is prepared via spontaneous fermentation;however,the mechanisms underlying the regulation of its flavor development remain unclear.This study shows the roles of the ... Popular fermented golden pomfret(Trachinotus ovatus)is prepared via spontaneous fermentation;however,the mechanisms underlying the regulation of its flavor development remain unclear.This study shows the roles of the complex microbiota and the dynamic changes in microbial community and flavor compounds during fish fermentation.Single-molecule real-time sequencing and molecular networking analysis revealed the correlations among different microbial genera and the relationships between microbial taxa and volatile compounds.Mechanisms underlying flavor development were also elucidated via KEGG based functional annotations.Clostridium,Shewanella,and Staphylococcus were the dominant microbial genera.Forty-nine volatile compounds were detected in the fermented fish samples,with thirteen identified as characteristic volatile compounds(ROAV>1).Volatile profiles resulted from the interactions among the microorganisms and derived enzymes,with the main metabolic pathways being amino acid biosynthesis/metabolism,carbon metabolism,and glycolysis/gluconeogenesis.This study demonstrated the approaches for distinguishing key microbiota associated with volatile compounds and monitoring the industrial production of high-quality fermented fish products. 展开更多
关键词 Fermented golden pomfret Microbiota community Volatile compound Co-occurrence network Metabolic pathway
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Five commonly used traditional Chinese medicine formulas in the treatment of ulcerative colitis:A network meta-analysis 被引量:2
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作者 Zhi-Hui Zhao Yi-Hang Dong +5 位作者 Xin-Qi Jiang Jing Wang Wan-Li Qin Zhang-Yi Liu Xiao-Qing Zhang Yu-Jie Wei 《World Journal of Clinical Cases》 SCIE 2024年第22期5067-5082,共16页
BACKGROUND Currently,traditional Chinese medicine(TCM)formulas are commonly being used as adjunctive therapy for ulcerative colitis in China.Network meta-analysis,a quantitative and comprehensive analytical method,can... BACKGROUND Currently,traditional Chinese medicine(TCM)formulas are commonly being used as adjunctive therapy for ulcerative colitis in China.Network meta-analysis,a quantitative and comprehensive analytical method,can systematically compare the effects of different adjunctive treatment options for ulcerative colitis,providing scientific evidence for clinical decision-making.AIM To evaluate the clinical efficacy and safety of commonly used TCM for the treatment of ulcerative colitis(UC)in clinical practice through a network metaanalysis.METHODS Clinical randomized controlled trials of these TCM formulas used for the adjuvant treatment of UC were searched from the establishment of the databases to July 1,2022.Studies that met the inclusion criteria were screened and evaluated for literature quality and risk of bias according to the Cochrane 5.1 standard.The methodological quality of the studies was assessed using ReviewManager(RevMan)5.4,and a funnel plot was constructed to test for publication bias.ADDIS 1.16 statistical software was used to perform statistical analysis of the treatment measures and derive the network relationship and ranking diagrams of the various intervention measures.RESULTS A total of 64 randomized controlled trials involving 5456 patients with UC were included in this study.The adjuvant treatment of UC using five TCM formulations was able to improve the clinical outcome of the patients.Adjuvant treatment with Baitouweng decoction(BTWT)showed a significant effect[mean difference=36.22,95%confidence interval(CI):7.63 to 65.76].For the reduction of tumor necrosis factor in patients with UC,adjunctive therapy with BTWT(mean difference=−9.55,95%CI:−17.89 to−1.41),Shenlingbaizhu powder[SLBZS;odds ratio(OR)=0.19,95%CI:0.08 to 0.39],and Shaoyao decoction(OR=−23.02,95%CI:−33.64 to−13.14)was effective.Shaoyao decoction was more effective than BTWT(OR=0.12,95%CI:0.03 to 0.39),SLBZS(OR=0.19,95%CI:0.08 to 0.39),and Xi Lei powder(OR=0.34,95%CI:0.13 to 0.81)in reducing tumor necrosis factor and the recurrence rate of UC.CONCLUSION TCM combined with mesalazine is more effective than mesalazine alone in the treatment of UC. 展开更多
关键词 network meta-analysis Traditional Chinese medicine Ulcerative colitis MESALAZINE TREATMENT
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