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1.
With the emergence of large-scale knowledge base, how to use triple information to generate natural questions is a key technology in question answering systems. The traditional way of generating questions require a lot of manual intervention and produce lots of noise. To solve these problems, we propose a joint model based on semi-automated model and End-to-End neural network to automatically generate questions. The semi-automated model can generate question templates and real questions combining the knowledge base and center graph. The End-to-End neural network directly sends the knowledge base and real questions to BiLSTM network. Meanwhile, the attention mechanism is utilized in the decoding layer, which makes the triples and generated questions more relevant. Finally, the experimental results on SimpleQuestions demonstrate the effectiveness of the proposed approach.  相似文献   
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Over recent years,catalytic materials of Fe-N-C species have been recognized being active for oxygen reduction reaction(ORR).However,the identification of active site remains challenging as it generally involves a pyrolysis process and mixed components being obtained.Herein Fe3C/C and Fe2N/C samples were synthesized by temperature programmed reduction of Fe precursors in 15%CH4/H2and pure NH3,respectively.By acid leaching of Fe2N/C sample,only single sites of FeN4species were presented,providing an ideal model for identification of catalytic functions of the single sites of FeN4in ORR.A correlation was conducted between the concentration of FeN4in low spin state by Mossbauer spectra and the kinetic current density at 0.8 V in alkaline media,and such a structure-performance correlation assures the catalytic roles of low spin FeN4 species as highly active sites for the ORR.  相似文献   
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安全壳泄漏率计算过程中,最重要的环节是以不同时刻测量数据对时间进行线性回归分析。对回归的显著性检验以及方差分析是评价试验结果有效性的重要手段。本文基于统计软件R对某电厂调试阶段安全壳泄漏率试验的数据进行分析,通过对线性回归模型的独立性、正态性和异方差性检验以及极端样本点的剔除等方式,探讨泄漏率计算前的回归诊断对计算结果可靠性的影响。通过回归诊断的实例分析发现,在安全壳泄漏率计算的数据样本中,可能存在自相关、非正态和异方差性等问题影响回归结果,进而影响泄漏率的最终结果。因此,在计算泄漏率结果时,须通过回归诊断方法评价数据的有效性,对不能通过检验的样本应通过适当方法对最终结果进行修正。   相似文献   
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Nitrile rubber (NBR) blends with excellent performance have always been a hot research topic in petroleum field. Due to the excellent performance and compatibility of polyamide 6 (PA6), it provides an opportunity for the preparation of high-performance NBR/PA6 blends. In this article, NBR/PA6 blends were prepared by the three-step molding process. Experimentally, it was found that PA6 has a prominent reinforcement effect in NBR matrix. The variation of this mechanical property was investigated from different aspects of the crystal structure, crystallinities, phase morphology, and so on. It can be cleared that the formation of fibrous structure of PA6 phase is the main factor for reinforcement of the polymer blends. Meanwhile, the formation mechanism of the special phase structure induced by the three-step process is deeply expounded and its structural evolution schematic is established. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019 , 136, 47472.  相似文献   
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采用XRD、SEM、残余应力测试仪、维氏硬度计、测长机等手段对合金物相、微观组织、残余应力、硬度、线膨胀率进行表征,研究自然时效对GT35合金组织与性能的影响。结果表明,GT35合金在自然时效过程中,增强相TiC的形貌与粒径没有明显变化。当自然时效时间小于15天时,GT35合金的硬度、残余应力与线膨胀率逐渐增加,随后逐渐减小并趋于稳定。当自然时效超过90天后,GT35合金的组织与性能趋于稳定,其硬度、残余应力和线膨胀率分别为945.7 HV5、-184 MPa和-2.22×10-5。  相似文献   
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采用共沉淀法制备了系列Ca-Mg-Al复合氧化物催化剂,通过对沉淀剂配比、沉淀液pH值及焙烧温度等制备条件的考察,得到以Na2CO3为沉淀剂、pH=9.5、850℃下焙烧4h制备的Ca-Mg-Al催化活性最高。在 n(PG)∶n(urea)=1.5∶1、反应温度为145℃、绝压20kPa、反应时间4h、催化剂用量为尿素质量的5%时,碳酸丙烯酯收率达到84.6%。采用XRF、XRD、NH3-TPD、SEM及BET对催化剂的组成、晶型及酸性进行了表征,发现随着沉淀剂中Na2CO3的含量增加,催化剂中CaO∶MgO的比例增大,碳酸丙烯酯的收率亦升高;经850℃焙烧后,催化剂中存在CaO和MgO两种活性中心,起协同催化作用;随着焙烧温度由700℃升高到850℃,NH3-TPD脱附曲线向低温方向偏移,且强酸中心NH3脱附峰面积比由81.14%明显下降为0,中强酸中心NH3脱附峰面积比由0增加到78.07%,而碳酸丙烯酯收率由68%增加到84.6%,这表明催化剂强酸性位的减少是催化活性增加的主要原因。  相似文献   
8.
Metallurgical and Materials Transactions B - The reaction between traditional CaO-SiO2-based mold fluxes and high-Al steel inevitably changes flux composition, and, consequently, flux properties....  相似文献   
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Thermosetting materials are widely used as encapsulation in the electrical packaging to protect the core electronic components from external force, moisture, dust, and other factors. However, the spreading and curing behaviors of such kind of fluid on a heated surface have been rarely explored. In this study, we experimentally and numerically investigated the spreading and curing behaviors of the silicone(OE6550 A/B, which is widely used in the light-emitting diode packaging) droplet with diameter of ~2.2 mm on a heated surface with temperature ranging from 25 ℃ to 250 ℃. For the experiments, we established a setup with high-speed camera and heating unit to capture the fast spreading process of the silicone droplet on the heated surface. For the numerical simulation, we built a viscosity model of the silicone by using the Kiuna's model and combined the viscosity model with the Volume of Fluid(VOF) model by the User Defined Function(UDF) method. The results show that the surface temperature significantly affected the spreading behaviors of the silicone droplet since it determines the temperature and viscosity distribution inside the droplet. For surface temperature varied from 25 ℃ to 250 ℃, the final contact radius changed from ~2.95 mm to ~1.78 mm and the total spreading time changed from ~511 s to ~0.15 s. By further analyzing the viscosity evolution of the droplet, we found that the decreasing of the total spreading time was caused by the decrease of the viscosity under high surface temperature at initial spreading stage, while the reduction of the final contact radius was caused by the curing of the precursor film. This study supplies a strategy to tuning the spreading and curing behavior of silicone by imposing high surface temperature, which is of great importance to the electronic packaging.  相似文献   
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