In large mines,single fan is usually not enough to ventilate all the working areas.Single mine-fan approach cannot be directly applied to multiple-fan networks because the present of multiple pressures and air quantit...In large mines,single fan is usually not enough to ventilate all the working areas.Single mine-fan approach cannot be directly applied to multiple-fan networks because the present of multiple pressures and air quantities associated with each fan in the network.Accordingly,each fan in a multiple-fan system has its own mine characteristic curve,or a subsystem curve.Under some consideration,the conventional concept of a mine characteristic curve of a single-fan system can be directly extended to that of a particular fan within a multiple-fan system.In this paper the mutual effect of the fans on each other and their effect on the stability of the ventilation network were investigated by Hardy Cross algorithm combined with a switching-parameters technique.To show the validity and reliability of this algorithm,the stability of the ventilation system of Abu-Tartur Mine(one of the largest underground mine in Egypt)has been studied.展开更多
Frequency and scale of the blasting events are increasing to boost limestone production. Mines areapproaching close to inhabited areas due to growing population and limited availability of land resourceswhich has chal...Frequency and scale of the blasting events are increasing to boost limestone production. Mines areapproaching close to inhabited areas due to growing population and limited availability of land resourceswhich has challenged the management to go for safe blasts with special reference to opencast mining.The study aims to predict the distance covered by the flyrock induced by blasting using artificial neuralnetwork （ANN） and multi-variate regression analysis （MVRA） for better assessment. Blast design andgeotechnical parameters, such as linear charge concentration, burden, stemming length, specific charge,unconfined compressive strength （UCS）, and rock quality designation （RQD）, have been selected as inputparameters and flyrock distance used as output parameter. ANN has been trained using 95 datasets ofexperimental blasts conducted in 4 opencast limestone mines in India. Thirty datasets have been used fortesting and validation of trained neural network. Flyrock distances have been predicted by ANN, MVRA,as well as further calculated using motion analysis of flyrock projectiles and compared with the observeddata. Back propagation neural network （BPNN） has been proven to be a superior predictive tool whencompared with MVRA. 2014 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting byElsevier B.V. All rights reserved.展开更多
A prediction method of strata movement in underground metal mines is put forward, in which fuzzy BP neural network is applied. The results show that there is a strong nonlinear relation between the selected factors an...A prediction method of strata movement in underground metal mines is put forward, in which fuzzy BP neural network is applied. The results show that there is a strong nonlinear relation between the selected factors and strata movement angle, the anticipant and the actual output results are very similar. It is proved that the numerical value of movement angle is correlated with the selected factors in theory. The scope of strata and surface movement due to mining can be predicted. This research provides a thought to study the movement scope of strata due to mining.展开更多
In abandoned mine sites, i.e., mine sites where mining operations have ended, wide spread contaminations are often evident, but the potential sources and pathways of contamination especially through the subsurface, ar...In abandoned mine sites, i.e., mine sites where mining operations have ended, wide spread contaminations are often evident, but the potential sources and pathways of contamination especially through the subsurface, are difficult to identify due to inadequate and sparse geochemical measurements available. Therefore, it is essential to design and implement a planned monitoring net-work to obtain essential information required for establishing the potential contamination source locations, i.e., waste dumps, tailing dams, pits and possible pathways through the subsurface, and to design a remediation strategy for rehabilitation. This study presents an illustrative application of modeling the flow and transport processes and monitoring network design in a study area hydrogeologically resembling an abandoned mine site in Queensland, Australia. In this preliminary study, the contaminant transport process modeled does not incorporate the reactive geochemistry of the contaminants. The transport process is modeled considering a generic conservative contaminant for the illustrative purpose of showing the potential application of an optimal monitoring design methodology. This study aims to design optimal monitoring network to: 1) minimize the contaminant solute mass estimation error;2) locate the plume boundary;3) select the monitoring locations with (potentially) high concentrations. A linked simulation optimization based methodology is utilized for optimal monitoring network design. The methodology is applied utilizing a recently developed software package CARE-GWMND, developed at James Cook University for optimal monitoring network design. Given the complexity of the groundwater systems and the sparsity of pollutant concentration observation data from the field, this software is capable of simulating the groundwater flow and solute transport with spatial interpolation of data from a sparse set of available data, and it utilizes the optimization algorithm to determine optimum locations for implementing monitoring wells.展开更多
目的通过数据挖掘、网络药理学及分子对接技术分析含桑椹的保健食品的组方规律并对其潜在的机制进行研究。方法在国家市场监督管理总局特殊食品信息查询平台及药智网收集截至2025年9月13日的桑椹相关保健食品信息,通过频数统计、聚类分...目的通过数据挖掘、网络药理学及分子对接技术分析含桑椹的保健食品的组方规律并对其潜在的机制进行研究。方法在国家市场监督管理总局特殊食品信息查询平台及药智网收集截至2025年9月13日的桑椹相关保健食品信息,通过频数统计、聚类分析、关联规则等方法分析保健食品的组方规律。通过中药系统药理学数据库与分析平台等数据库检索桑椹相关活性成分,运用SwissTargetPrediction预测潜在靶点,GeneCards等数据库检索主要保健功能相关的疾病靶点,运用UniProt数据库规范靶基因名称,借助Venny、STRING数据库筛选出潜在靶点。然后进行蛋白质相互作用网络分析,根据度(degree)值筛选出核心靶点,并在DAVID数据库进行基因本体(gene ontology,GO)和京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。最后,利用分子对接技术验证潜在靶点和关键成分的作用亲和力。结果符合筛选条件的含桑椹保健食品一共纳入243种,涉及中药原料177种,其中以清热药和补虚药为主;药性以温、平为主,药味以甘为主;归肺、心、肝经;剂型以胶囊剂最常见;排名前2位的保健功能为有助于增强免疫力和缓解体力疲劳。桑椹增强免疫力的潜在靶点453个、核心靶点10个;缓解体力疲劳的潜在靶点166个、核心靶点10个。桑椹通过肿瘤坏死因子信号通路与脂质和动脉粥样硬化等信号通路发挥增强免疫力和缓解体力疲劳的作用。分子对接结果提示桑椹的关键成分与潜在靶点能自发且稳定地结合。结论通过数据挖掘、网络药理学和分子对接研究,分析了含桑椹的保健食品相关信息,初步揭示桑椹主要保健功能的潜在靶点与作用途径,为桑椹后续产品的研发提供了理论依据。展开更多
目的:通过数据挖掘和网络药理学探究中医药治疗溃疡性结肠炎常用中药及作用机制。方法:通过检索中国知网、维普网、万方医学、PubMed、EmBase等数据库中关于中药口服法治疗溃疡性结肠炎的相关文献,获取文献中的中药并对其进行频数和频...目的:通过数据挖掘和网络药理学探究中医药治疗溃疡性结肠炎常用中药及作用机制。方法:通过检索中国知网、维普网、万方医学、PubMed、EmBase等数据库中关于中药口服法治疗溃疡性结肠炎的相关文献,获取文献中的中药并对其进行频数和频率分析。使用中药系统药理学数据库和分析平台筛选频次前五名中药的有效成分及相关靶点,使用GeneCards数据库检索溃疡性结肠炎的基因靶点,并与中药相关靶点进行映射,得到中药治疗溃疡性结肠炎的潜在作用靶点,采用Cytoscape软件构建“成分-靶点”网络图。将潜在作用靶点导入String数据库,获得蛋白质-蛋白质相互作用(protein-protein interaction,PPI)关系,使用Cytoscape软件进行PPI网络可视化,并筛选核心靶点。使用R软件对靶点进行基因本体论(Gene Ontology,GO)富集分析和京都基因与基因组百科全书(Kyoto Encyclopedia of Genes and Genomes,KEGG)信号通路富集分析。结果:本次检索共获得有效文献213篇,涉及不同中药134味,主要包括补虚药、清热药、理气药、解表药等,使用频次最高的前6味中药为黄连、甘草、白术、黄芩、黄芪、白芍。基于TCMSP数据库获取5味中药(除甘草)有效成分55个,靶点212个;在GnenCards数据库中检索得到1226个靶点基因,与有效成分靶点进行映射得到103个潜在作用靶点。GO富集分析得到生物过程1865个、细胞组分39个、分子功能98个;KEGG富集到123条相关通路。结论:中药治疗溃疡性结肠炎作用途径复杂,涉及多靶点、多通路,具有“小分散大集中”的特点。展开更多
文摘In large mines,single fan is usually not enough to ventilate all the working areas.Single mine-fan approach cannot be directly applied to multiple-fan networks because the present of multiple pressures and air quantities associated with each fan in the network.Accordingly,each fan in a multiple-fan system has its own mine characteristic curve,or a subsystem curve.Under some consideration,the conventional concept of a mine characteristic curve of a single-fan system can be directly extended to that of a particular fan within a multiple-fan system.In this paper the mutual effect of the fans on each other and their effect on the stability of the ventilation network were investigated by Hardy Cross algorithm combined with a switching-parameters technique.To show the validity and reliability of this algorithm,the stability of the ventilation system of Abu-Tartur Mine(one of the largest underground mine in Egypt)has been studied.
文摘Frequency and scale of the blasting events are increasing to boost limestone production. Mines areapproaching close to inhabited areas due to growing population and limited availability of land resourceswhich has challenged the management to go for safe blasts with special reference to opencast mining.The study aims to predict the distance covered by the flyrock induced by blasting using artificial neuralnetwork （ANN） and multi-variate regression analysis （MVRA） for better assessment. Blast design andgeotechnical parameters, such as linear charge concentration, burden, stemming length, specific charge,unconfined compressive strength （UCS）, and rock quality designation （RQD）, have been selected as inputparameters and flyrock distance used as output parameter. ANN has been trained using 95 datasets ofexperimental blasts conducted in 4 opencast limestone mines in India. Thirty datasets have been used fortesting and validation of trained neural network. Flyrock distances have been predicted by ANN, MVRA,as well as further calculated using motion analysis of flyrock projectiles and compared with the observeddata. Back propagation neural network （BPNN） has been proven to be a superior predictive tool whencompared with MVRA. 2014 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting byElsevier B.V. All rights reserved.
文摘A prediction method of strata movement in underground metal mines is put forward, in which fuzzy BP neural network is applied. The results show that there is a strong nonlinear relation between the selected factors and strata movement angle, the anticipant and the actual output results are very similar. It is proved that the numerical value of movement angle is correlated with the selected factors in theory. The scope of strata and surface movement due to mining can be predicted. This research provides a thought to study the movement scope of strata due to mining.
文摘In abandoned mine sites, i.e., mine sites where mining operations have ended, wide spread contaminations are often evident, but the potential sources and pathways of contamination especially through the subsurface, are difficult to identify due to inadequate and sparse geochemical measurements available. Therefore, it is essential to design and implement a planned monitoring net-work to obtain essential information required for establishing the potential contamination source locations, i.e., waste dumps, tailing dams, pits and possible pathways through the subsurface, and to design a remediation strategy for rehabilitation. This study presents an illustrative application of modeling the flow and transport processes and monitoring network design in a study area hydrogeologically resembling an abandoned mine site in Queensland, Australia. In this preliminary study, the contaminant transport process modeled does not incorporate the reactive geochemistry of the contaminants. The transport process is modeled considering a generic conservative contaminant for the illustrative purpose of showing the potential application of an optimal monitoring design methodology. This study aims to design optimal monitoring network to: 1) minimize the contaminant solute mass estimation error;2) locate the plume boundary;3) select the monitoring locations with (potentially) high concentrations. A linked simulation optimization based methodology is utilized for optimal monitoring network design. The methodology is applied utilizing a recently developed software package CARE-GWMND, developed at James Cook University for optimal monitoring network design. Given the complexity of the groundwater systems and the sparsity of pollutant concentration observation data from the field, this software is capable of simulating the groundwater flow and solute transport with spatial interpolation of data from a sparse set of available data, and it utilizes the optimization algorithm to determine optimum locations for implementing monitoring wells.
文摘目的通过数据挖掘、网络药理学及分子对接技术分析含桑椹的保健食品的组方规律并对其潜在的机制进行研究。方法在国家市场监督管理总局特殊食品信息查询平台及药智网收集截至2025年9月13日的桑椹相关保健食品信息,通过频数统计、聚类分析、关联规则等方法分析保健食品的组方规律。通过中药系统药理学数据库与分析平台等数据库检索桑椹相关活性成分,运用SwissTargetPrediction预测潜在靶点,GeneCards等数据库检索主要保健功能相关的疾病靶点,运用UniProt数据库规范靶基因名称,借助Venny、STRING数据库筛选出潜在靶点。然后进行蛋白质相互作用网络分析,根据度(degree)值筛选出核心靶点,并在DAVID数据库进行基因本体(gene ontology,GO)和京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。最后,利用分子对接技术验证潜在靶点和关键成分的作用亲和力。结果符合筛选条件的含桑椹保健食品一共纳入243种,涉及中药原料177种,其中以清热药和补虚药为主;药性以温、平为主,药味以甘为主;归肺、心、肝经;剂型以胶囊剂最常见;排名前2位的保健功能为有助于增强免疫力和缓解体力疲劳。桑椹增强免疫力的潜在靶点453个、核心靶点10个;缓解体力疲劳的潜在靶点166个、核心靶点10个。桑椹通过肿瘤坏死因子信号通路与脂质和动脉粥样硬化等信号通路发挥增强免疫力和缓解体力疲劳的作用。分子对接结果提示桑椹的关键成分与潜在靶点能自发且稳定地结合。结论通过数据挖掘、网络药理学和分子对接研究,分析了含桑椹的保健食品相关信息,初步揭示桑椹主要保健功能的潜在靶点与作用途径,为桑椹后续产品的研发提供了理论依据。
文摘目的:通过数据挖掘和网络药理学探究中医药治疗溃疡性结肠炎常用中药及作用机制。方法:通过检索中国知网、维普网、万方医学、PubMed、EmBase等数据库中关于中药口服法治疗溃疡性结肠炎的相关文献,获取文献中的中药并对其进行频数和频率分析。使用中药系统药理学数据库和分析平台筛选频次前五名中药的有效成分及相关靶点,使用GeneCards数据库检索溃疡性结肠炎的基因靶点,并与中药相关靶点进行映射,得到中药治疗溃疡性结肠炎的潜在作用靶点,采用Cytoscape软件构建“成分-靶点”网络图。将潜在作用靶点导入String数据库,获得蛋白质-蛋白质相互作用(protein-protein interaction,PPI)关系,使用Cytoscape软件进行PPI网络可视化,并筛选核心靶点。使用R软件对靶点进行基因本体论(Gene Ontology,GO)富集分析和京都基因与基因组百科全书(Kyoto Encyclopedia of Genes and Genomes,KEGG)信号通路富集分析。结果:本次检索共获得有效文献213篇,涉及不同中药134味,主要包括补虚药、清热药、理气药、解表药等,使用频次最高的前6味中药为黄连、甘草、白术、黄芩、黄芪、白芍。基于TCMSP数据库获取5味中药(除甘草)有效成分55个,靶点212个;在GnenCards数据库中检索得到1226个靶点基因,与有效成分靶点进行映射得到103个潜在作用靶点。GO富集分析得到生物过程1865个、细胞组分39个、分子功能98个;KEGG富集到123条相关通路。结论:中药治疗溃疡性结肠炎作用途径复杂,涉及多靶点、多通路,具有“小分散大集中”的特点。
