通孔式钛合金层强韧化Ti2AlC/TiAl基叠层复合板材

以通孔式结构TC4钛合金箔为增韧层,以TiC-Ti-Al混合粉末为反应体系,采用放电等离子烧结技术(SPS)制备TC4/Ti2AlC-TiAl基叠层结构复合板材。借助XRD、SEM等分析相组成和组织结构,并测量室温弯曲强度和断裂韧性。结果表明,叠层结构复合板材的力学性能呈各向异性;当Ti2AlC含量(质量分数)为15%时,断裂韧性在加载方向垂直于叠层方向时达到最大值18.81 MPa·m1/2,远高于无Ti2AlC的复合板材的断裂韧性。通孔叠层结构设计以及复合化手段构建了复杂的裂纹扩展路径,且钛合金韧化层可以吸收断裂能,对改善韧性具有重要作用,为金属复合板材研究提供了一种全新的设计思路。     

白藜芦醇磺酸酯的合成及抗氧化、抗肿瘤活性的研究

以白藜芦醇和2, 4-二硝基苯磺酰氯为原料,通过酯化法得到白藜芦醇磺酸酯,通过NMR和LC-MS确定了该化合物结构。以维生素C为阳性对照,研究白藜芦醇磺酸酯对2, 2-联苯基-1-苦基肼(DPPH)自由基和2, 2′-联氮-双-3-乙基苯并噻唑啉-6-磺酸(ABTS)自由基的清除活性和抗氧化活性;噻唑蓝(MTT)法研究其对人肺癌细胞A549的增殖活性。实验结果表明,目标产物收率为33.1%。同时,目标产物在浓度为1.0 mg/mL时,对DPPH自由基和ABTS自由基的清除率分别为31.6%和42.7%,抗氧化活性均高于白藜芦醇,但低于维生素C;目标产物对人肺癌细胞A549具有较好抑制作用,IC50值为(10.2±0.37)μg/mL。     

基于NB分类器重访概率预测的Web缓存替换策略

Web缓存是用来解决网络访问延迟和网络拥塞问题，缓存替换策略直接影响缓存的命中率。为此，提出一种朴素贝叶斯（NB）分类器重访概率预测的Web缓存替换策略；根据用户之前访问日志，通过分区操作提取多项特征来表示每次访问的对象，并构建特征数据集；训练NB分类器，用来确定缓存中对象被再次访问的概率，为对象分配权重；结合LRU策略来合理删除一些对象。仿真结果表明，提出的策略在保证较高命中率的同时有效降低了执行时间。     

结合MNF变换和Canny算子的遥感影像变化检测

针对大面积区域的多时相遥感影像变化检测的需求，提出了一种基于最小噪声分离（MNF）的Canny边缘检测提取影像变化信息的检测方法。对多时相影像采用多种变换组合成具有多维波段信息的影像，采用最小噪声分离法分离噪声并得到单波段差异图，通过Canny边缘检测法计算梯度幅值，采用高低双阈值法细化边缘，从而提取差异图变化边缘，有效突出了变化信息。以1995年和2003年加扎勒河的两期遥感影像为例，利用两时相影像进行土地覆被变化检测。实验结果表明，该方法适用于监测大面积区域内地物的突变情况。在数据基础上进行最小噪声分离可以有效解决传统Canny边缘检测提取边缘时造成的伪边缘现象，同时采用高低双阈值法有效去除伪边缘点，从而获得更加精确、直观的变化检测效果，在自然地理变化监测、地理国情灾害监测等有很好的应用价值。     

高斯混合模型结合加权似然的目标跟踪算法

鉴于高斯混合模型对背景变化快时无法精确检测出目标和目标跟踪的适应性差等瑕疵，提出了基于加权似然跟踪器来改进高斯混合模型实现运动目标跟踪算法。主要引入了自适应高斯混合模型来实时检测运动目标，然后空间加权似然来进行视频中的目标定位，引入加权似然期望值来改进高斯混合模型处理视频中的多尺度、多角度变化的目标跟踪不精准问题。通过VOT 2014 dataset对比实验结果表明提出的基于加权似然跟踪（Weighted Likelihood Tracking，WLT）和改进高斯混合模型（Improved Gaussian Mixture Model，IGMM）的目标跟踪算法较传统高斯混合模型跟踪算法在跟踪的精度有较大提高。在应对多尺度、多角度变化的目标跟踪表现出了较大的优势。     

渤海海域辽西构造带S型走滑转换带特征及控藏作用定量表征

S型走滑转换带是走滑环境下广泛发育的一类构造。以往的研究认识多集中在对走滑转换带类型划分的探讨上，缺乏对其控藏作用的精细研究。本次研究利用渤海海域辽东湾地区连片三维地震资料，结合油气田实例，运用统计学方法分析了辽西构造带S型走滑转换带的控藏作用。辽西带新生代构造变形总体表现为NE向伸展构造系统和NNE向右旋走滑构造系统的叠加构造变形，S型走滑转换带可分为增压段和释压段两大类。按照走滑转换带演化阶段的不同，将增压段进一步细分为压扭低凸起段、平缓增压段和强烈增压段等3个亚类。将释压段同样细分为纺锤形浅凹、平缓释压段和菱形释压段等3个亚类。将走滑断裂末端发育的转换带归纳为增压型或释压型马尾扇。应用S型走滑转换带“油气富集指数”的分析方法，论证了S型走滑转换带弯曲度与走滑调节断层活动性具有正相关性，并成功应用于辽西凹陷南次洼旅大5-2北油田成藏分析工作中，为勘探决策提供了定量化依据。     

Understanding the structural characteristics,pasting and rheological behaviours of pregelatinised cassava starch

The structural characteristics, pasting and rheological behaviours of cassava starch before and after pregelatinisation were determined by various modern analysis techniques. Pregelatinisation, especially in an ultrasonic environment, can disrupt the granule structure, crystalline structure and short‐range ordered molecular structure of cassava starch. Compared with native starch, pregelatinisation had significantly decreased viscosities and weakened gel structures of starch pastes. Not only did native and pregelatinised starch pastes exhibit shear‐thinning behaviours but also the pregelatinised treatment resulted in the formation of weak gel structures. This study enabled us to acquire the desired pasting and rheological properties of pregelatinised starch by modulating its hierarchical structural changes.     

Implementing lean practices in manufacturing SMEs: testing ‘critical success factors’ using Necessary Condition Analysis

Lean practices are known to increase operational performance. Previous research has identified critical success factors for implementing lean practices. This research aims to examine the extent to which success factors are critical for various degrees of lean practice implementation. Using multiple-respondent self-assessments from 33 Dutch manufacturing small and medium-sized enterprises (SMEs), we conducted a Necessary Condition Analysis. Our findings indicated that the criticality of success factors is progression dependent. In the initial stages of the lean journey, SMEs could improve their lean practices in a bottom-up manner through local factors such as a learning focus, improvement training and support congruence. When lean practices are more advanced, some company-wide factors must be present: top management support, a shared improvement vision and a supplier link. Our findings question the universality of success factors such as strategic involvement and indicate the need for a more dynamic model of lean implementation.     

Isolation and identification of two major acylated anthocyanins from purple sweet potato (Ipomoea batatas L. cultivar Eshu No. 8) by UPLC‐QTOF‐MS/MS and NMR

In recent years, researches on the isolation and preparation of monomeric anthocyanins have intensified because of the requirements of quantitative and structure–bioactivity relationship analyses. However, simple and effective methods about the scale of monomeric anthocyanins from the natural purple sweet potato powder are rarely reported. In this study, high molecular weight acylated monomeric anthocyanins were isolated from purple sweet potato (Ipomoea batatas L. cultivar Eshu No. 8) via the combination of column chromatography and semi‐preparative HPLC technology and identified mainly by ultra‐high‐performance liquid chromatography quadrupole time‐of‐flight tandem mass spectrometry/mass spectrometry (UPLC‐QTOF‐MS/MS) and ¹H and ¹³C nuclear magnetic resonance (NMR). Two major acylated anthocyanins were unambiguously determined as peonidin 3‐O‐(6‐O‐(E)‐caffeoyl‐(2‐O‐(6‐O‐p‐hydroxybenzoyl)‐β‐D‐glucopyranosyl)‐β‐D‐glucopyranoside)‐5‐O‐(β‐D‐glucopyranoside) and peonidin 3‐O‐(6‐O‐(E)‐caffeoyl‐(2‐O‐(6‐O‐(E)‐feruloyl)‐β‐D‐ glucopyranosyl)‐β‐D‐glucopyranoside)‐5‐O‐(β‐D‐glucopyranoside). The results of this study may help promote the purification of high molecular weight acylated anthocyanins from purple sweet potato as well as from other plant materials in nature.     

Structural optimization with an automatic mode identification method for tracking the local vibration mode

Traditional optimization methods, which take a specific order of modal frequency as the design constraint, could fail to obtain the desired solution because of modal substitution. An improved optimization model with continuous sizing variables is established to solve this problem, in which the minimum weight and a given local modal frequency are considered as the objective and the constraint. To capture accurately the expected mode of vibration, a local mode identification technique is proposed based on the strain energy ratio between the local area and the whole structure. With that scheme, an optimization system is developed, in which the local mode can be effectively identified and the constraint can be updated with it in the iteration process. Two numerical examples, of a reinforced plate and a satellite structure, are applied to illustrate the effectiveness and efficacy of the proposed method.