Comparison of the Structural Evolution of β Polypropylene during the Sequential and Simultaneous Biaxial Stretching Process

In this work, the lamellar structural evolution and microvoids variations of β polypropylene(β-PP) during the processing of two different stretching methods, sequential biaxial stretching and simultaneous biaxial stretching, were investigated in detail. It was found that different stretching methods led to significantly different lamellae deformation modes, and the microporous membranes obtained from the simultaneous biaxial stretching exhibited better mechanical properties. For the sequential biaxial stretching, abundant coarse fibers originated from the tight accumulation of the lamellae parallel to the longitudinal stretching direction, whereas the lamellae perpendicular to the stretching direction were easily deformed and separated. Those coarse fibers were difficult to be separated to form micropores during the subsequent transverse stretching process, resulting in a poor micropores distribution. However, for the simultaneous biaxial stretching, the β crystal had the same deformation mode, that is, the lamellae distributed in different directions were all destroyed, forming abundant microvoids and little coarse fibers.     

X荧光光谱法测定锡酸铅TDI还原型催化剂中锡和铅含量

报道了一种准确度高、分析步骤简单的锡酸铅TDI还原型催化剂中锡和铅含量的X射线荧光光谱方法（XRF）．设计制备了标准样品,研究了仪器测试条件下元素峰位的选择和背景扣除方法．结果表明：X荧光光谱法在不破坏样品的前提下完成对二氧化锡和铅含量的同时测定,重复实验10次,Pb实验相对标准偏差为0．37％;SnO2实验相对标准偏差0．61％。     

气相色谱-质谱联用技术用于利尿剂的快速初筛和确证

利用微波辅助衍生及宏程序技术,对反兴奋剂条例的禁用列表中的一系列利尿剂药物进行了研究。建立了同时分析尿样中9种利尿剂的气相色谱-质谱联用(GC/MS)测定以及抽检尿样的初筛、确证的新方法。在GC-MS的选择离子监测(SIM)模式下,所建立定量方法的检出限为0.3~6.6μg/L;尿样中的提取回收率为37.6%~96.8%;RSD小于9.7%。由于采用了微波衍生样品前处理技术和宏程序数据处理方法,显著提高了分析效率,不但检测灵敏度完全能满足国际奥委会的要求,而且检测时间缩短3 h以上。方法成功地应用于口服吲达帕胺后尿样的检测,探讨了人尿中吲达帕胺代谢情况,有效进行兴奋剂监控提供了依据。     

石墨炉原子吸收法测定土壤中镉的测量不确定度评定

石墨炉原子吸收法测定土壤中镉的不确定度主要来源于称量样品、定容样品消解液、测定样品消解液中镉的质量浓度及测定土壤水分引入的不确定度。对各不确定度分量进行了计算,求得合成标准不确定度和扩展不确定度分别为0.0026、0.005mg/kg。镉测量不确定度的主要来源是测定样品消解液中镉质量浓度引入的不确定度。     

无焰燃烧烟密度标准物质的研制

介绍无焰燃烧烟密度标准物质的研制方法。选用合适的α-纤维素作为原材料,经打浆造纸后,作为标准物质候选物,经均匀性检验和稳定性考察合格后,对标准物质进行定值。在无焰燃烧条件下烟密度标准物质的标准值为175,扩展不确定度为8;校正烟密度标准物质的标准值为166,扩展不确定度为8。     

高度有序的二氧化钛纳米管阵列的制备及其光催化活性的研究

采用电化学阳极氧化法在钛表面构筑了一种结构有序、微米级的TiO₂纳米管阵列膜层. 考察了制备电压、氧化时间、溶液搅拌等实验参数对TiO₂纳米管阵列形貌和尺寸的影响. 应用SEM和XRD对膜层的形貌和晶型进行了分析和表征, 并通过TiO₂纳米管阵列膜对甲基橙的光催化降解, 研究了TiO₂纳米管阵列膜层结构与光催化活性的关系. 结果表明: 阳极电压和溶液搅拌对制备TiO₂纳米管阵列的结构起到关键的作用. 控制20 V电压制备的TiO₂纳米管阵列膜, 管长达2.6～3.3 μm, 经500 ℃热处理后具有最高的光催化活性, 其光催化性能明显优于一般的TiO₂纳米颗粒膜.     

纳米TiO2-SnO2介孔材料的制备及其对含氰废水的光催化降解性能

以TiCl4和SnCl4为原料,采用直接水解常压液相反应合成出了纳米TiO2-SnO2复合介孔材料.利用XRD和TEM及漫反射谱等对样品进行了表征,并研究了纳米TiO2-SnO2复合介孔材料对含氰废水的光催化降解性能.结果表明,纳米TiO2与SnO2复合后,导致材料的光谱响应拓宽;此种催化剂在日光灯下比在紫外灯下对废水中CN-的降解效果要好.     

中红外光谱法在无创血糖检测技术中的应用

构建了中红外无创血糖检测的实验方案,利用傅里叶红外光谱仪对葡萄糖溶液及手指进行了中红外光谱检测并进行分析,得到葡萄糖的中红外特征吸收峰在1000cm^-1附近,证实了中红外光谱在无创血糖检测中的可实现性,选择激光器和光导探测器进行特征峰处的光电检测实验,并得到了有效信号。     

关于集合的粗相似度量的注记

举例说明文献"集合的粗相似度量"中定理3.1(2)的结论是不严谨的,从而给出一个严谨的结论。     

Deep Multilabel Multilingual Document Learning for Cross-Lingual Document Retrieval

Cross-lingual document retrieval, which aims to take a query in one language to retrieve relevant documents in another, has attracted strong research interest in the last decades. Most studies on this task start with cross-lingual comparisons at the word level and then represent documents via word embeddings, which leads to insufficient structure information. In this work, the cross-lingual comparison at the document level is achieved through the cross-lingual semantic space. Our method, MDL (deep multilabel multilingual document learning), leverages a six-layer fully connected network to project cross-lingual documents into a shared semantic space. The semantic distances can be calculated when the cross-lingual documents are transformed into embeddings in semantic space. The supervision signals are automatically extracted from the data and then used to construct the semantic space via a linear classifier. The ambiguity of manual labels could be avoided and the multilabel supervision signals can be acquired instead of a single label. The representation of the semantic space is enriched by multilabel supervision signals, which improves the discriminative ability of the embeddings. The MDL is easy to extend to other fields since it does not depend on specific data. Furthermore, MDL is more efficient than the models training all languages jointly, since each language is trained individually. Experiments on Wikipedia data showed that the proposed method outperforms the state-of-the-art cross-lingual document retrieval methods.