从水杉(Metasequoia glyptostroboides Hu et Cheng)树皮、叶片中分离筛选得到了17株形态各不相同的内生真菌,采用对峙培养法筛选对植物病原真菌,层出镰孢菌(Fusarium proliferatum)﹑禾谷镰刀菌(Fusarium graminearum)﹑玉米大斑病菌(S...从水杉(Metasequoia glyptostroboides Hu et Cheng)树皮、叶片中分离筛选得到了17株形态各不相同的内生真菌,采用对峙培养法筛选对植物病原真菌,层出镰孢菌(Fusarium proliferatum)﹑禾谷镰刀菌(Fusarium graminearum)﹑玉米大斑病菌(Setosphaeria turcica)﹑玉米小斑病菌(Helminthosporium maydis)具有拮抗作用的菌株,筛选得到了1株对以上4种病原菌具有广谱抗菌活性的菌株,命名为SS-17。通过对SS-17菌株的形态特征观察及ITS分子鉴定,初步鉴定为黑附球菌(Epicoccum nigrum)。展开更多
Ventilation system is significant in underground metal mine of alpine region.Reasonable evaluation of ventilation effectiveness will lead to a practical improvement for the maintenance and management of ventilation sy...Ventilation system is significant in underground metal mine of alpine region.Reasonable evaluation of ventilation effectiveness will lead to a practical improvement for the maintenance and management of ventilation system.However,it is difficult to make an effective evaluation of ventilation system due to the lack of classification criteria with respect to underground metal mine in alpine region.This paper proposes a novel evaluation method called the cloud model-clustering analysis(CMCA).Cloud model(CM)is utilized to process collected data of ventilation system,and they are converted into cloud descriptors by CM.Cloud similarity(CS)based Euclidean distance(ED)is proposed to make clustering analysis of assessed samples.Then the classification of assessed samples will be identified by clustering analysis results.A case study is developed based on CMCA.Evaluation results show that ventilation effectiveness can be well classified.Moreover,CM is used alone to make comparison of evaluation results obtained by CMCA.Then the availability and validity of CMCA is verified.Meanwhile,difference of CS based ED and classical ED is analyzed.Two new clustering analysis methods are introduced to make comparison with CMCA.Then the ability of proposed CMCA to meet evaluation requirements of ventilation system is verified.展开更多
The gasification industries make use of biomass residue as feedstock to produce synthesis gas,but the gasification of this waste biomass generates tons of ash everyday.Performance properties and agglomeration behavior...The gasification industries make use of biomass residue as feedstock to produce synthesis gas,but the gasification of this waste biomass generates tons of ash everyday.Performance properties and agglomeration behavior of corncob ash(CCA) collected from the gasification of corncobs in a pilot-scale gasification station were investigated by using some experimental methods.Based on the chemical composition results,the agglomeration tendency of CCA from combustion and gasification process was also analyzed.Chemical analysis shows that the fly ash is mainly composed of inorganic matters formed by K,Mg,Ca,Na,Fe,Al,S,etc.The agglomeration characteristics indicate that the slagging degree increases with the increase of ashing temperature,and the slagging tendency of these CCA samples from gasification or combustion is different with various slagging indices.All CCA samples from combustion or gasification can cause slagging/fouling problems in thermal conversion systems.The applications of CCA are closely related to its performances,and CCA has the potential to be used in various fields,for example,as a material for ceramic products and activated carbon,as an adsorbent,as a crude fertilizer,and as a structural material.展开更多
文摘从水杉(Metasequoia glyptostroboides Hu et Cheng)树皮、叶片中分离筛选得到了17株形态各不相同的内生真菌,采用对峙培养法筛选对植物病原真菌,层出镰孢菌(Fusarium proliferatum)﹑禾谷镰刀菌(Fusarium graminearum)﹑玉米大斑病菌(Setosphaeria turcica)﹑玉米小斑病菌(Helminthosporium maydis)具有拮抗作用的菌株,筛选得到了1株对以上4种病原菌具有广谱抗菌活性的菌株,命名为SS-17。通过对SS-17菌株的形态特征观察及ITS分子鉴定,初步鉴定为黑附球菌(Epicoccum nigrum)。
基金Project(2018YFC0808404)supported by National Key Research and Development Program of China。
文摘Ventilation system is significant in underground metal mine of alpine region.Reasonable evaluation of ventilation effectiveness will lead to a practical improvement for the maintenance and management of ventilation system.However,it is difficult to make an effective evaluation of ventilation system due to the lack of classification criteria with respect to underground metal mine in alpine region.This paper proposes a novel evaluation method called the cloud model-clustering analysis(CMCA).Cloud model(CM)is utilized to process collected data of ventilation system,and they are converted into cloud descriptors by CM.Cloud similarity(CS)based Euclidean distance(ED)is proposed to make clustering analysis of assessed samples.Then the classification of assessed samples will be identified by clustering analysis results.A case study is developed based on CMCA.Evaluation results show that ventilation effectiveness can be well classified.Moreover,CM is used alone to make comparison of evaluation results obtained by CMCA.Then the availability and validity of CMCA is verified.Meanwhile,difference of CS based ED and classical ED is analyzed.Two new clustering analysis methods are introduced to make comparison with CMCA.Then the ability of proposed CMCA to meet evaluation requirements of ventilation system is verified.
基金Project(2013020137)supported by the Natural Science Foundation of Liaoning Province,ChinaProject(2015-36)supported by Rural Energy Comprehensive Construction Foundation of the Ministry of Agriculture,China
文摘The gasification industries make use of biomass residue as feedstock to produce synthesis gas,but the gasification of this waste biomass generates tons of ash everyday.Performance properties and agglomeration behavior of corncob ash(CCA) collected from the gasification of corncobs in a pilot-scale gasification station were investigated by using some experimental methods.Based on the chemical composition results,the agglomeration tendency of CCA from combustion and gasification process was also analyzed.Chemical analysis shows that the fly ash is mainly composed of inorganic matters formed by K,Mg,Ca,Na,Fe,Al,S,etc.The agglomeration characteristics indicate that the slagging degree increases with the increase of ashing temperature,and the slagging tendency of these CCA samples from gasification or combustion is different with various slagging indices.All CCA samples from combustion or gasification can cause slagging/fouling problems in thermal conversion systems.The applications of CCA are closely related to its performances,and CCA has the potential to be used in various fields,for example,as a material for ceramic products and activated carbon,as an adsorbent,as a crude fertilizer,and as a structural material.
