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| 1 | 比较研究SiC和MoS2对铝基复合材料磨损行为影响(英文)显示文摘为了提高纯铝对钢的干滑动摩擦耐磨性,通过压制烧结混合粉末的方法制备不同SiC、MoS2和SiC/MoS2颗粒含量的铝基复合材料。显微结构分析表明,该合金结构致密,这与密度和硬度测试结果相吻合。在恒定载荷和滑动速度下进行复合材料与对偶为AISI 52100钢的销-盘式磨损试验。结果显示,当Al/SiC和Al/MoS2复合材料中增强相的最佳含量分别为10vol%和2vol%时,材料的磨损率最低;而Al/10SiC/2MoS2复合材料的磨损率和摩擦因数最低。扫描电镜观察表明,在纯铝中加入MoS2颗粒后,材料的主要磨损机理由粘着磨损转变为以磨粒磨损为主。对于Al/SiC和Al/SiC/MoS2复合材料,其主要的磨损机理为轻微的剥层磨损。Al/SiC/MoS2复合材料与Al/SiC复合材料的摩痕和磨损表面接近,表明SiC颗粒在这两种复合材料摩擦学行为中起主导作用。 | Mohammad ROUHI Mohammad MOAZAMI-GOUDARZI Mohammad ARDESTANI | 2019 | Transactions of Nonferrous Metals Society of China2019，29，6： | 7 |
| 2 | Potential habitat modeling for reintroduction of three native plant species in central Iran显示文摘Potential habitat modeling of endemic species is an appropriate method to maintain biodiversity,ecosystem function and rehabilitation of rangeland ecosystems.Astragalus caragana,A.cyclophyllon and A.podolobus are endemic in Iran's rangelands and some neighboring countries.The three native species could endure environmental stresses due to their distinctive ecophysiological characteristics.They play important roles in sustainable pastures production,recreation and improvement.They suffer severe threat from many factors including;grazing,agriculture and invasive exotic species.We analyzed the potential habitat of three native plant species in central Iran basing on the grid map with the resolution of 1-km.We used inventory records from field surveys,herbarium collections and 22 environmental factors to explore the environmental influences on given species distribution by Maximum entropy(Maxent) model.Maxent is a species distribution model that uses species occurrence and environmental data for predicting potential species.The results of our study indicated species occurrence has strong correlation with environmental factors such as mean temperature of wettest season,elevation and precipitation of coldest season.We evaluated the model accuracy by AUC(area under the receiver operating characteristic curve) based on an independent test data set.AUC values indicated the high power of Maxent to create potential habitat map(AUCA.caragana=0.988,AUCA.cyclophyllon=0.927,AUCA.podolobus=0.923).It is important to consider that AUC values tend to be lower for species that have broad distribution scope,such as A.podolobus distribution.Most suitable potential habitat distributions of the three species were predicted in the western and southwestern parts of rangelands in Isfahan province.Visual comparisons of the actual distribution map of the three species with produced Maxent maps represent a good agreement.In general,the model demonstrated that the occurrence of the given species is highly probable when the elevation is between 2,200 and 3,000 m and mean temperature of wettest season less than 3°C.This model,therefore,can be applied to recognize potential sites for rangeland reclamation projects. | Elham G ARDESTANI Mostafa TARKESH Mehdi BASSIRI Mohammad R VAHABI | 2015 | Journal of Arid Land2015，7，3： | 5 |
| 3 | Association of serum immunoglobulins levels and eye injuries in sulfur mustard exposed: Sardasht-Iran Cohort Study显示文摘 | Hassan Ghasemi Ail Mostafaie Roya Yaraee Zuhair Mohammad Hassan Abbas Rezaei Mahmoud Mahmoudi Soghrat Faghihzadeh Mohammad-Reza Soroush Sussan K. Ardestani Mahmoud Babaei Mohammadreza Jalali-Nadoushan Ali Khamesipour Mohammad Ghassemi-Broumand Tooba Ghaza | 2013 | International Immunopharmacology2013，，： | 1 |
| 4 | 利用支持向量分类(SVC)估算断层深度和特征选择(英文)显示文摘地下断层深度的估算是重力解释难题之一,我们试利用支持向量分类(SVC)法进行计算。使用正演和非线性反演技术,通过相关误错使检测地下断层深度成为可能。但必要有一个深度初始猜测值,而且这猜测值通常不是由重力资料得。本文我们介绍以SVC作为利用重力数据估算断层深度的一种手段。在这项研究中,我们假设一种地下断层深度可归为一种类型,SVC作为一个分类算法。为了有效地利用此SVC算法,我们基于一个正确的特征选择算法去选择正确的深度特征。本次研究中我们建立了一套基于不同深度地下断层的合成重力剖面训练集,用以训练用于计算实际的地下断层深度的SVC代码。然后用其它合成重力剖面训练集测试我们训练的SVC代码,同时也用实际资料验证了我们的训练SVC代码。 | Mohammad Ehsan Hekmatian Vahid E. Ardestani Mohammad Ali Riahi Ayyub Memar Koucheh Bagh Jalal Amini | 2013 | Applied Geophysics2013，10，1： | 0 |
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