湖北省保康县荆山玉地球化学特征及其成因分析

荆山玉是湖北省保康县新发现的一个玉石品种,形成于大陆边缘—洋盆区过渡带的热水沉积环境,为晚震旦世—早寒武世灯影组的一种硅质角砾岩:原地震碎角砾岩,由角砾和胶结物二部分构成,角砾局部可拼接;角砾成分为早期硅质岩碎裂产物,胶结物除早期硅质岩碎裂产物外,还有少量后期充填的石英、铁质等,受角砾、胶结物颗粒大小、裂隙发育程度不同的影响,后期热液改造程度不同,角砾和胶结物化学成分存在一定的差异,色调与铁质有关。荆山玉的形成主要经历了三个阶段的演化:第一阶段,低温150～225℃、弱氧化—弱还原条件下热水成因的硅质岩形成;第二阶段,热力膨胀外力作用下,硅质岩局部原地震碎形成硅质角砾岩,热水温度243～340℃,富氧氧化—贫氧过渡环境,红褐色的Fe~(3+)在胶结物、裂隙中富集;第三阶段,热水温度116～127℃、缺氧还原条件,黄色的Fe~(2+)在胶结物、裂隙中富集。     

铝碳质长水口用低铝抗氧化涂层的研制

为抑制铝碳质长水口使用过程中石墨的氧化，其表面会涂覆含 20%~30%Al₂O₃的抗氧化涂层，但切割丝钢等特种钢冶炼过程必须严格控制钢液中夹杂的 Al₂O₃的含量，因此需要制备低氧化铝含量的抗氧化涂层。本文通过调节涂料组成、加水量和水玻璃加入量制备了低铝抗氧化涂层，并利用扫描电镜分析了抗氧化实验后试样断口的显微结构。结果表明：以粘土粉、钾长石粉和硅砂为主要原料，添加 10%硼砂的涂料可在 800 ℃形成良好的釉层，此时涂料中 A12O3的含量可降至 12%，得到了低铝涂料；当加入占涂料质量 80%的水和 40%的水玻璃时，涂层具有最佳的涂覆性能和抗氧化性能，涂层和长水口基体结合致密，保护了长水口中的石墨不被氧化。     

Image and Feature Space Based Domain Adaptation for Vehicle Detection

The application of deep learning in the field of object detection has experienced much progress. However, due to the domain shift problem, applying an off-the-shelf detector to another domain leads to a significant performance drop. A large number of ground truth labels are required when using another domain to train models, demanding a large amount of human and financial resources. In order to avoid excessive resource requirements and performance drop caused by domain shift, this paper proposes a new domain adaptive approach to cross-domain vehicle detection. Our approach improves the cross-domain vehicle detection model from image space and feature space. We employ objectives of the generative adversarial network and cycle consistency loss for image style transfer in image space. For feature space, we align feature distributions between the source domain and the target domain to improve the detection accuracy. Experiments are carried out using the method with two different datasets, proving that this technique effectively improves the accuracy of vehicle detection in the target domain.     

A Novel Beam Search to Improve Neural Machine Translation for English-Chinese

Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, overcoming the weaknesses of conventional phrase-based translation systems. Although NMT based systems have gained their popularity in commercial translation applications, there is still plenty of room for improvement. Being the most popular search algorithm in NMT, beam search is vital to the translation result. However, traditional beam search can produce duplicate or missing translation due to its target sequence selection strategy. Aiming to alleviate this problem, this paper proposed neural machine translation improvements based on a novel beam search evaluation function. And we use reinforcement learning to train a translation evaluation system to select better candidate words for generating translations. In the experiments, we conducted extensive experiments to evaluate our methods. CASIA corpus and the 1,000,000 pairs of bilingual corpora of NiuTrans are used in our experiments. The experiment results prove that the proposed methods can effectively improve the English to Chinese translation quality.     

亲水性PET共混材料的制备及性能研究

以机械共混法制备亲水性聚对苯二甲酸乙二醇酯（PET）共混材料，并通过接触角测定仪、差示扫描量热仪(DSC)和电子万能材料试验机等对共混材料的亲水性能、热性能和力学性能等进行研究与分析。结果表明，亲水处理剂聚乙二醇（PEG）、聚丙烯酸钠（PAAS）、聚乙烯吡咯烷酮（PVP）均能改善PET的亲水性能，影响PET的结晶性能，但亲水处理剂对PET的力学性能影响较小，其中PET/PEG共混材料的亲水性最优；随着PEG含量的增加，PET/PEG共混材料的亲水性先逐渐增强，当PEG含量高于5 %后，共混材料的亲水性变化很小；且PET的结晶度随着PEG的加入呈现先增大后减小的趋势。     

碳含量对激光熔覆CoCrFeMnNiCx高熵合金涂层摩擦磨损和耐蚀性能的影响

采用激光熔覆技术在 45 钢基体上制备了不同碳含量(等摩尔比)的 CoCrFeMnNiC_x( x = 0,0. 03,0. 06,0. 09, 0. 12,0. 15)高熵合金涂层。 通过 X 射线衍射(XRD)、扫描电镜( SEM)、HVS-1000A 型显微硬度计、RST5000 型电化学工作站、UMT-2 型摩擦磨损试验机等表征和测试手段研究了不同碳含量对激光熔覆 CoCrFeMnNiC_x 高熵合金涂层物相结构、显微硬度、摩擦磨损及耐腐蚀性能的影响。 结果表明,当碳含量 x 由 0 逐渐增加至 0. 09 时,高熵合金相结构由 FCC 固溶体转变为 FCC 固溶体和 M23C6 相共存,合金微观组织变得细小;熔覆层硬度由 183. 20 HV_{0. 2} 增加至 223. 48 HV_{0. 2} ; 涂层的摩擦因数降低,耐磨性能变强;腐蚀电位由-469 mV 增大至-348 mV,腐蚀电流密度由 14. 95 μA·cm^-2 减小为 2. 29 μA·cm^-2 ,耐腐蚀性增强。 当碳含量 x 由 0. 09 逐渐增加至 0. 15 时,合金相结构再次转变为 FCC 固溶体,且合金微观组织恢复粗大状态;熔覆层硬度与耐腐蚀性降低,但耐磨性能却先减弱后增强。 合金在碳含量为 0. 09 时,硬度最高且耐腐蚀性能最强;在碳含量为 0. 15 时,耐磨性最强。     

乌拉根锌矿排土场稳定性分析

排土场的稳定性研究是露天矿山安全性管理的重点，也是矿山可持续发展的关键。以乌拉根锌矿排土场为例，在岩土工程勘察的基础上，利用Geo slope软件，运用极限平衡法和有限元法对排土场边坡危险剖面在正常工况下及降雨入渗工况下的稳定性进行数值模拟。计算结果表明，正常工况下，边坡处于基本稳定状态；降雨入渗后，边坡安全系数降低3.9%，处于欠稳定状态，应加强排土场降雨预报和监测管理。