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
目的:应用数据挖掘和网络药理学方法探讨中药熏洗方治疗肛周湿疹的用药规律及机制。方法:检索中国知网、万方、维普、中国生物医学文献数据库2011年1月1日至2020年12月31日关于中药熏洗治疗肛周湿疹的文献;采用中医传承辅助平台V3.0软...目的:应用数据挖掘和网络药理学方法探讨中药熏洗方治疗肛周湿疹的用药规律及机制。方法:检索中国知网、万方、维普、中国生物医学文献数据库2011年1月1日至2020年12月31日关于中药熏洗治疗肛周湿疹的文献;采用中医传承辅助平台V3.0软件对处方用药频次、药性、药味、归经、组方规律、药物核心组合进行分析。通过中药系统药理学数据库与分析平台(traditional Chinese medicine systems pharmacology database and analysis platform,TCMSP)检索用药规律所得苦参汤中8味药物的活性成分及其对应的药物靶点;运用人类基因数据库(the human gene database,GeneCards)获取肛周湿疹的疾病靶点;使用Venny 2.1.0作图工具映射药物与疾病交集靶点,并构建韦恩图;运用STRING数据库及Cytoscape 3.8.2软件构建靶点蛋白-蛋白互作网络(protein-protein interactions,PPI),筛选核心作用靶点,构建“药物-活性成分-作用靶点”网络;应用R语言的clusterProfiler包进行基因本体论(gene ontology,GO)及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。结果:共筛选出符合标准的文献386篇,纳入中药处方360首,涉及中药188味;用药频次≥10次的药物共51味,四气分类以寒性为主,五味分类以苦味及辛味为主,药物归经以肝经、胃经及脾经为主;组方规律分析得到高频药对30对,最终演化得到核心组合4个,从用药规律得出苦参汤是治疗肛周湿疹的特效方。共筛选出苦参汤中137个活性成分和224个潜在靶点,与肛周湿疹相关作用靶点24个,经拓扑分析得到3个核心治疗靶点;筛选出槲皮素、木犀草素、山柰酚、金合欢素、苦参碱5个有效活性成分;GO富集分析得到1354个生物学过程、34个细胞组成及71个分子功能;KEGG通路富集分析得到97条信号通路。结论:苦参汤是治疗肛周湿疹的中药古方,苦参汤通过多成分、多靶点、多通路发挥治疗肛周湿疹的作用。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.
文摘目的:应用数据挖掘和网络药理学方法探讨中药熏洗方治疗肛周湿疹的用药规律及机制。方法:检索中国知网、万方、维普、中国生物医学文献数据库2011年1月1日至2020年12月31日关于中药熏洗治疗肛周湿疹的文献;采用中医传承辅助平台V3.0软件对处方用药频次、药性、药味、归经、组方规律、药物核心组合进行分析。通过中药系统药理学数据库与分析平台(traditional Chinese medicine systems pharmacology database and analysis platform,TCMSP)检索用药规律所得苦参汤中8味药物的活性成分及其对应的药物靶点;运用人类基因数据库(the human gene database,GeneCards)获取肛周湿疹的疾病靶点;使用Venny 2.1.0作图工具映射药物与疾病交集靶点,并构建韦恩图;运用STRING数据库及Cytoscape 3.8.2软件构建靶点蛋白-蛋白互作网络(protein-protein interactions,PPI),筛选核心作用靶点,构建“药物-活性成分-作用靶点”网络;应用R语言的clusterProfiler包进行基因本体论(gene ontology,GO)及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。结果:共筛选出符合标准的文献386篇,纳入中药处方360首,涉及中药188味;用药频次≥10次的药物共51味,四气分类以寒性为主,五味分类以苦味及辛味为主,药物归经以肝经、胃经及脾经为主;组方规律分析得到高频药对30对,最终演化得到核心组合4个,从用药规律得出苦参汤是治疗肛周湿疹的特效方。共筛选出苦参汤中137个活性成分和224个潜在靶点,与肛周湿疹相关作用靶点24个,经拓扑分析得到3个核心治疗靶点;筛选出槲皮素、木犀草素、山柰酚、金合欢素、苦参碱5个有效活性成分;GO富集分析得到1354个生物学过程、34个细胞组成及71个分子功能;KEGG通路富集分析得到97条信号通路。结论:苦参汤是治疗肛周湿疹的中药古方,苦参汤通过多成分、多靶点、多通路发挥治疗肛周湿疹的作用。
