EMS诱变育种是作物种质创新的重要手段,利用反向遗传学手段TILLING(targeting induced local lesions in genomes)筛选EMS突变体,是研究基因功能与获得优良种质的有效手段之一。本研究采用基于HRM,即高分辨率熔解曲线分析技术的TILLING...EMS诱变育种是作物种质创新的重要手段,利用反向遗传学手段TILLING(targeting induced local lesions in genomes)筛选EMS突变体,是研究基因功能与获得优良种质的有效手段之一。本研究采用基于HRM,即高分辨率熔解曲线分析技术的TILLING筛选方法(HRM-TILLING)进行突变体筛选技术体系的探索,通过设计不同大小扩增片段引物及Mg^(2+)浓度梯度,比较了不同条件下的HRM筛选效果,结果表明当扩增片段长度为150 bp,Mg^(2+)浓度为3.0 mmol/L时,可以有效区分DNA 16倍混合池中ARF7A基因存在碱基差异的两种茄子(Solanum melongena L.)材料,建立了一套基于HRM的茄子EMS突变体TILLING技术的筛选方法。以含有2000个M2株系的茄子(EP26)EMS突变体库为材料,筛选出1个ARF7A基因和2个Pad-1基因突变体株系。本研究建立的筛选技术体系可以快速、高效地筛选茄子EMS突变体,所筛选的突变体为进一步验证、获取茄子单性结实种质及功能基因组学的研究提供研究材料。展开更多
目的利用高分辨质谱鉴定银丹心脑通软胶囊的化学成分,与网络药理学研究结合,探讨银丹心脑通软胶囊“心脑同治”的活性成分及其潜在分子作用机制。方法基于UHPLC Q-Exactive Plus Orbitrap HRMS鉴定出的银丹心脑通软胶囊化学成分;通过TC...目的利用高分辨质谱鉴定银丹心脑通软胶囊的化学成分,与网络药理学研究结合,探讨银丹心脑通软胶囊“心脑同治”的活性成分及其潜在分子作用机制。方法基于UHPLC Q-Exactive Plus Orbitrap HRMS鉴定出的银丹心脑通软胶囊化学成分;通过TCMSP和SwissADME数据库,以口服利用度≥30%、类药性≥0.18和胃肠道吸收得分为“High”、类药性至少通过3个“Yes”来筛选活性成分,再检索活性成分的潜在作用靶点;通过OMIM、DisGeNET、GeneCards、TTD和PharmGKB数据库获取与心脑血管疾病相关靶基因。使用Venny软件获得两者的交集靶点,采用Cytoscape3.9.1分析软件结合STRING数据库对交集靶点进行蛋白互作网络分析和“药物-活性成分-靶点-疾病”网络构建,确定核心成分与靶点。利用DAVID数据库对银丹心脑通软胶囊治疗心脑血管疾病的潜在靶基因进行基因本体(GO)分析及京都基因与基因组百科全书富集分析(KEGG)预测其作用机制。最后将度值排名前5的靶点与主要活性成分进行分子对接模拟以验证网络药理学结果。结果通过UHPLC Q-Exactive Plus Orbitrap HRMS技术鉴定出银丹心脑通软胶囊中82个化学成分,主要包括黄酮类、有机酸类、菲醌类和二萜内酯类化合物;经TCMSP、SwissADME数据库筛选得到活性成分34个,如槲皮素、异樱花亭、二氢丹参酮I等,相对应的靶点389个,进一步筛选出治疗心脑血管疾病相关的潜在靶基因249个。GO和KEGG富集分析显示,银丹心脑通软胶囊的活性成分可能主要通过脂质与动脉粥样硬化通路、流体剪切应力与动脉粥样硬化、AGE-RAGE、IL-17、PI3K-Akt、HIF-1、TNF等通路来发挥治疗心脑血管疾病的作用。分子对接证实STAT3、HSP90AA1等与二氢丹参酮I、山柰酚、木犀草素等具有较高的亲和力。结论本研究初步预测了银丹心脑通软胶囊“心脑同治”其作用机制与动脉粥样硬化、炎症因子、细胞凋亡和氧化应激等方面有关,为后续作用机制的深度分析及临床应用提供科学依据。展开更多
目的:建立贵州金丝桃指纹图谱及其化学成分分析。方法:采用UHPLC-DAD建立贵州金丝桃的指纹图谱,对12批样品的指纹图谱进行相似度分析、聚类分析和主成分分析。采用UHPLC-Q-Exactive Plus Orbitrap HRMS技术对贵州金丝桃中化学成分进行...目的:建立贵州金丝桃指纹图谱及其化学成分分析。方法:采用UHPLC-DAD建立贵州金丝桃的指纹图谱,对12批样品的指纹图谱进行相似度分析、聚类分析和主成分分析。采用UHPLC-Q-Exactive Plus Orbitrap HRMS技术对贵州金丝桃中化学成分进行鉴定。结果:指纹图谱分析表明12批贵州金丝桃相似度为0.928~0.999,聚类分析和主成分分析表明不同来源的贵州金丝桃样品的化学成分组成及其相对含量可能存在一定差异。高分辨质谱共鉴定出黄酮类、间苯三酚类、有机酸类等化合物69个。结论:该方法稳定、可靠,可有效地评价贵州金丝桃的质量,为进一步开发和利用贵州金丝桃提供依据。展开更多
To analyze the differences in the transport and distribution of different types of proppants and to address issues such as the short effective support of proppant and poor placement in hydraulically intersecting fract...To analyze the differences in the transport and distribution of different types of proppants and to address issues such as the short effective support of proppant and poor placement in hydraulically intersecting fractures,this study considered the combined impact of geological-engineering factors on conductivity.Using reservoir production parameters and the discrete elementmethod,multispherical proppants were constructed.Additionally,a 3D fracture model,based on the specified conditions of the L block,employed coupled(Computational Fluid Dynamics)CFD-DEM(Discrete ElementMethod)for joint simulations to quantitatively analyze the transport and placement patterns of multispherical proppants in intersecting fractures.Results indicate that turbulent kinetic energy is an intrinsic factor affecting proppant transport.Moreover,the efficiency of placement and migration distance of low-sphericity quartz sand constructed by the DEM in the main fracture are significantly reduced compared to spherical ceramic proppants,with a 27.7%decrease in the volume fraction of the fracture surface,subsequently affecting the placement concentration and damaging fracture conductivity.Compared to small-angle fractures,controlling artificial and natural fractures to expand at angles of 45°to 60°increases the effective support length by approximately 20.6%.During hydraulic fracturing of gas wells,ensuring the fracture support area and post-closure conductivity can be achieved by controlling the sphericity of proppants and adjusting the perforation direction to control the direction of artificial fractures.展开更多
Modal parameters can accurately characterize the structural dynamic properties and assess the physical state of the structure.Therefore,it is particularly significant to identify the structural modal parameters accordi...Modal parameters can accurately characterize the structural dynamic properties and assess the physical state of the structure.Therefore,it is particularly significant to identify the structural modal parameters according to the monitoring data information in the structural health monitoring(SHM)system,so as to provide a scientific basis for structural damage identification and dynamic model modification.In view of this,this paper reviews methods for identifying structural modal parameters under environmental excitation and briefly describes how to identify structural damages based on the derived modal parameters.The paper primarily introduces data-driven modal parameter recognition methods(e.g.,time-domain,frequency-domain,and time-frequency-domain methods,etc.),briefly describes damage identification methods based on the variations of modal parameters(e.g.,natural frequency,modal shapes,and curvature modal shapes,etc.)and modal validation methods(e.g.,Stability Diagram and Modal Assurance Criterion,etc.).The current status of the application of artificial intelligence(AI)methods in the direction of modal parameter recognition and damage identification is further discussed.Based on the pre-vious analysis,the main development trends of structural modal parameter recognition and damage identification methods are given to provide scientific references for the optimized design and functional upgrading of SHM systems.展开更多
The quasi-rectangular tunnel represents a novel cross-section design,intended to supersede the traditional circular and rectangular tunnel formats.Due to the limited capacity of the tunnel vault to withstand vertical ...The quasi-rectangular tunnel represents a novel cross-section design,intended to supersede the traditional circular and rectangular tunnel formats.Due to the limited capacity of the tunnel vault to withstand vertical loads,an interior column is often installed at the center to enhance its load-bearing capacity.This study aims to develop a hyperstatic reaction method(HRM)for the analysis of deformation and structural integrity in this specific tunnel type.The computational model is validated through comparison with the corresponding finite element method(FEM)analysis.Following comprehensive validation,an ensemble machine learning(ML)model is proposed,using numerical benchmark data,to facilitate real-time design and optimization.Subsequently,three widely used ensemble models,i.e.random forest(RF),gradient boosting decision tree(GBDT),and extreme gradient boosting(XGBoost)are compared to identify the most efficient ML model for replacing the HRM model in the design optimization process.The performance metrics,such as the coefficient of determination R2 of about 0.999 and the mean absolute percentage error(MAPE)of about 1%,indicate that XGBoost outperforms the others,exhibiting excellent agreement with the HRM analysis.Additionally,the model demonstrates high computational efficiency,with prediction times measured in seconds.Finally,the HRM-XGBoost model is integrated with the well-known particle swarm optimization(PSO)for the real-time design optimization of quasi-rectangular tunnels,both with and without the interior column.A feature importance assessment is conducted to evaluate the sensitivity of design input features,enabling the selection of the most critical features for the optimization task.展开更多
文摘目的利用高分辨质谱鉴定银丹心脑通软胶囊的化学成分,与网络药理学研究结合,探讨银丹心脑通软胶囊“心脑同治”的活性成分及其潜在分子作用机制。方法基于UHPLC Q-Exactive Plus Orbitrap HRMS鉴定出的银丹心脑通软胶囊化学成分;通过TCMSP和SwissADME数据库,以口服利用度≥30%、类药性≥0.18和胃肠道吸收得分为“High”、类药性至少通过3个“Yes”来筛选活性成分,再检索活性成分的潜在作用靶点;通过OMIM、DisGeNET、GeneCards、TTD和PharmGKB数据库获取与心脑血管疾病相关靶基因。使用Venny软件获得两者的交集靶点,采用Cytoscape3.9.1分析软件结合STRING数据库对交集靶点进行蛋白互作网络分析和“药物-活性成分-靶点-疾病”网络构建,确定核心成分与靶点。利用DAVID数据库对银丹心脑通软胶囊治疗心脑血管疾病的潜在靶基因进行基因本体(GO)分析及京都基因与基因组百科全书富集分析(KEGG)预测其作用机制。最后将度值排名前5的靶点与主要活性成分进行分子对接模拟以验证网络药理学结果。结果通过UHPLC Q-Exactive Plus Orbitrap HRMS技术鉴定出银丹心脑通软胶囊中82个化学成分,主要包括黄酮类、有机酸类、菲醌类和二萜内酯类化合物;经TCMSP、SwissADME数据库筛选得到活性成分34个,如槲皮素、异樱花亭、二氢丹参酮I等,相对应的靶点389个,进一步筛选出治疗心脑血管疾病相关的潜在靶基因249个。GO和KEGG富集分析显示,银丹心脑通软胶囊的活性成分可能主要通过脂质与动脉粥样硬化通路、流体剪切应力与动脉粥样硬化、AGE-RAGE、IL-17、PI3K-Akt、HIF-1、TNF等通路来发挥治疗心脑血管疾病的作用。分子对接证实STAT3、HSP90AA1等与二氢丹参酮I、山柰酚、木犀草素等具有较高的亲和力。结论本研究初步预测了银丹心脑通软胶囊“心脑同治”其作用机制与动脉粥样硬化、炎症因子、细胞凋亡和氧化应激等方面有关,为后续作用机制的深度分析及临床应用提供科学依据。
文摘目的:建立贵州金丝桃指纹图谱及其化学成分分析。方法:采用UHPLC-DAD建立贵州金丝桃的指纹图谱,对12批样品的指纹图谱进行相似度分析、聚类分析和主成分分析。采用UHPLC-Q-Exactive Plus Orbitrap HRMS技术对贵州金丝桃中化学成分进行鉴定。结果:指纹图谱分析表明12批贵州金丝桃相似度为0.928~0.999,聚类分析和主成分分析表明不同来源的贵州金丝桃样品的化学成分组成及其相对含量可能存在一定差异。高分辨质谱共鉴定出黄酮类、间苯三酚类、有机酸类等化合物69个。结论:该方法稳定、可靠,可有效地评价贵州金丝桃的质量,为进一步开发和利用贵州金丝桃提供依据。
基金funded by the project of the Major Scientific and Technological Projects of CNOOC in the 14th Five-Year Plan(No.KJGG2022-0701)the CNOOC Research Institute(No.2020PFS-03).
文摘To analyze the differences in the transport and distribution of different types of proppants and to address issues such as the short effective support of proppant and poor placement in hydraulically intersecting fractures,this study considered the combined impact of geological-engineering factors on conductivity.Using reservoir production parameters and the discrete elementmethod,multispherical proppants were constructed.Additionally,a 3D fracture model,based on the specified conditions of the L block,employed coupled(Computational Fluid Dynamics)CFD-DEM(Discrete ElementMethod)for joint simulations to quantitatively analyze the transport and placement patterns of multispherical proppants in intersecting fractures.Results indicate that turbulent kinetic energy is an intrinsic factor affecting proppant transport.Moreover,the efficiency of placement and migration distance of low-sphericity quartz sand constructed by the DEM in the main fracture are significantly reduced compared to spherical ceramic proppants,with a 27.7%decrease in the volume fraction of the fracture surface,subsequently affecting the placement concentration and damaging fracture conductivity.Compared to small-angle fractures,controlling artificial and natural fractures to expand at angles of 45°to 60°increases the effective support length by approximately 20.6%.During hydraulic fracturing of gas wells,ensuring the fracture support area and post-closure conductivity can be achieved by controlling the sphericity of proppants and adjusting the perforation direction to control the direction of artificial fractures.
基金supported by the Innovation Foundation of Provincial Education Department of Gansu(2024B-005)the Gansu Province National Science Foundation(22YF7GA182)the Fundamental Research Funds for the Central Universities(No.lzujbky2022-kb01)。
文摘Modal parameters can accurately characterize the structural dynamic properties and assess the physical state of the structure.Therefore,it is particularly significant to identify the structural modal parameters according to the monitoring data information in the structural health monitoring(SHM)system,so as to provide a scientific basis for structural damage identification and dynamic model modification.In view of this,this paper reviews methods for identifying structural modal parameters under environmental excitation and briefly describes how to identify structural damages based on the derived modal parameters.The paper primarily introduces data-driven modal parameter recognition methods(e.g.,time-domain,frequency-domain,and time-frequency-domain methods,etc.),briefly describes damage identification methods based on the variations of modal parameters(e.g.,natural frequency,modal shapes,and curvature modal shapes,etc.)and modal validation methods(e.g.,Stability Diagram and Modal Assurance Criterion,etc.).The current status of the application of artificial intelligence(AI)methods in the direction of modal parameter recognition and damage identification is further discussed.Based on the pre-vious analysis,the main development trends of structural modal parameter recognition and damage identification methods are given to provide scientific references for the optimized design and functional upgrading of SHM systems.
基金funded by the Hanoi University of Mining and Geology(Grant No.T23-44)The research is also funded by the German Research Foundation(DFG e Project number 518862444)in collaboration with the Vietnam National Foundation for Science and Technology Development(NAFOSTED)under grant number DFG.105e2022.03The third author was funded by the Postdoctoral Scholarship Program of the Vingroup Innovation Foundation(VINIF)(VINIF.2023.STS.15).
文摘The quasi-rectangular tunnel represents a novel cross-section design,intended to supersede the traditional circular and rectangular tunnel formats.Due to the limited capacity of the tunnel vault to withstand vertical loads,an interior column is often installed at the center to enhance its load-bearing capacity.This study aims to develop a hyperstatic reaction method(HRM)for the analysis of deformation and structural integrity in this specific tunnel type.The computational model is validated through comparison with the corresponding finite element method(FEM)analysis.Following comprehensive validation,an ensemble machine learning(ML)model is proposed,using numerical benchmark data,to facilitate real-time design and optimization.Subsequently,three widely used ensemble models,i.e.random forest(RF),gradient boosting decision tree(GBDT),and extreme gradient boosting(XGBoost)are compared to identify the most efficient ML model for replacing the HRM model in the design optimization process.The performance metrics,such as the coefficient of determination R2 of about 0.999 and the mean absolute percentage error(MAPE)of about 1%,indicate that XGBoost outperforms the others,exhibiting excellent agreement with the HRM analysis.Additionally,the model demonstrates high computational efficiency,with prediction times measured in seconds.Finally,the HRM-XGBoost model is integrated with the well-known particle swarm optimization(PSO)for the real-time design optimization of quasi-rectangular tunnels,both with and without the interior column.A feature importance assessment is conducted to evaluate the sensitivity of design input features,enabling the selection of the most critical features for the optimization task.
