Polyphenol composition and antioxidant capacity in pulp and peel of apricot fruits of various varieties and maturity stages at harvest

Polyphenol composition and antioxidant capacities of peel and pulp tissues of six apricot varieties were determined. Variations in polyphenol and antioxidant capacity based on variety (early‐maturing varieties and late‐maturing varieties) and harvest maturity (green mature and full mature) were assessed. The results of principal component analysis revealed that (+)‐catechin made the most important contributions to the antioxidant capacities of the pulp. As the (+)‐catechin content in ‘Dajie’ apricot decreased by 36.8% from green mature to full mature, the antioxidant capacities determined by ABTS free radical scavenging assay, DPPH free radical scavenging assay and cupric ion reducing antioxidant capacity assay decreased by 50.0%, 45.2% and 45.8%, respectively. Levels of phenolic compounds in the apricot peels were approximately 2–4 times higher than those of the pulps. Quercetin‐3‐rutinoside may be substantially responsible for the antioxidant capacities of the peels. The late‐maturing varieties tended to have higher levels of phenolic compounds and higher antioxidant capacities than the early‐maturing varieties. The antioxidant capacities in green mature apricots were much higher than those of full mature apricots.     

Physicochemical,textural and volatile characteristics of fermented milk co-cultured with Streptococcus thermophilus,Bifidobacterium animalis or Lactobacillus plantarum

Fermented milks were prepared with various culture combinations of Lactobacillus plantarum or Bifidobacterium animalis with Streptococcus thermophilus, and the impact of microbes combinations on acidification, proteolysis, lipolysis, texture, volatiles and sensory quality of fermented milk was investigated during 21-day storage at 4 °C. The results showed that products from the co-cultures displayed higher titratable acidity, more peptides, higher proteolytic activity and lipolysis capacity compared with that from the pure strains of S. thermophilus. When L. plantarum and B. animalis combined in a ratio of 2:1 with S. thermophilus, the products maintained relatively more viable cell counts of the 3 strains, strong proteolysis ability and lipolysis capacity during the storage. Milk fermented by co-cultures of the 3 strains exhibited higher cohesiveness, more volatiles and better sensory quality compared with these fermented by S. thermophilus only or in co-cultures with either B. animalis or L. plantarum based on principal component analysis.     

高拱坝施工期温控参数敏感性分析

在混凝土高拱坝浇筑过程中,影响坝体施工期温度场及温度应力的因素有很多,因此选用适当的浇筑方案对于节约工程成本及提高坝体安全性有着重要意义。以孟底沟水电站工程为例,选用多种施工方案,并利用三维有限元方法进行仿真分析,分析了浇筑季节、浇筑层厚、间歇时间及浇筑温度等因素对坝体施工期的敏感性。结果表明,低温季节浇筑、在防止热量倒灌的前提下尽量减小浇筑层厚度、缩短间歇时间、降低浇筑温度有助于降低温度应力,提高坝体安全性。     

10×1019 cm-2快中子辐照国产A508-3钢材料的小冲杆试验研究

小冲杆试验方法以其所需测试样品尺寸小而带来的样品感生放射性小等优势，越来越多地应用于核材料力学性能评价领域。本文设计了一套利用光栅尺直接测量样品变形的小冲杆试验装置，较传统装置精度有明显提高。利用该套装置对注量为10×1019 cm-2（E≥1 MeV）快中子辐照的国产A508 3钢材料进行了小冲杆测试研究，探索了针对放射性样品从制备到测试的试验方法，并获得了国产A508 3钢材料的小冲杆屈服特征值、抗拉特征值和韧脆转变温度与标准试验之间的关系式。     

树脂改性用低顺式聚丁二烯橡胶研究进展

综述了树脂改性用低顺式聚丁二烯橡胶(LCBR)的合成路线、生产工艺、国内生产装置的情况及国内外LCBR的研究现状,同时对树脂改性用LCBR的研究方向进行了展望。LCBR生产工艺主要包括连续聚合工艺及间歇聚合工艺,国内树脂改性用LCBR产品仍存在技术瓶颈。对于树脂改性用LCBR的研究主要集中在降低凝胶含量及低胶液黏度产品的开发方面。     

改性Kevlar纳米纤维对天然橡胶耐溶剂性能和交联密度的影响（英文）

制备了改性Kevlar纳米纤维(m-KNFs)填充天然橡胶硫化胶,研究了不同用量的m-KNFs对天然橡胶耐溶剂性能和交联密度的影响。结果表明,m-KNFs可有效增强天然橡胶的耐溶剂性能,当m-KNFs的用量为7份时,天然橡胶的溶剂吸附常数比未填充时降低了11. 7%。同时,天然橡胶的交联密度随着m-KNFs用量的增加而增大。     

AG2.0型超声波蒸发传感器遇低温结冰时记录的处理

文章分析了3a马尔康国家基准气候站AG2.0型超声波蒸发传感器观测数据,结果表明:蒸发传感器遇低温结冰时段自动观测数据偏大。对1d中部分时间段内蒸发水结冰、融化以及冬季全天结冰期很短的观测数据进行了分析,分析认为数据偏大主要是因为蒸发桶和测量筒的材料物理性质以及测量的水体面积不同。最后提出了数据记录处理建议。     

新型建筑材料在建设工程中应用与发展趋势

随着我国改革开放不断深入,科技水平的不断提升,人们对美好生活的追求,促使建筑材料飞速发展,以适应环保、节能、轻质、安全、高效的需求,从而取代能耗多、污染大、防火等级低不安全的建筑材料。本文例举了当前一些新型建筑材料的应用特点,并阐述了新型建筑材料的发展趋势。     

ZerNet: Convolutional Neural Networks on Arbitrary Surfaces Via Zernike Local Tangent Space Estimation

In this paper, we propose a novel formulation extending convolutional neural networks (CNN) to arbitrary two-dimensional manifolds using orthogonal basis functions called Zernike polynomials. In many areas, geometric features play a key role in understanding scientific trends and phenomena, where accurate numerical quantification of geometric features is critical. Recently, CNNs have demonstrated a substantial improvement in extracting and codifying geometric features. However, the progress is mostly centred around computer vision and its applications where an inherent grid-like data representation is naturally present. In contrast, many geometry processing problems deal with curved surfaces and the application of CNNs is not trivial due to the lack of canonical grid-like representation, the absence of globally consistent orientation and the incompatible local discretizations. In this paper, we show that the Zernike polynomials allow rigourous yet practical mathematical generalization of CNNs to arbitrary surfaces. We prove that the convolution of two functions can be represented as a simple dot product between Zernike coefficients and the rotation of a convolution kernel is essentially a set of 2 × 2 rotation matrices applied to the coefficients. The key contribution of this work is in such a computationally efficient but rigorous generalization of the major CNN building blocks.     

2019年中国合成橡胶行业重大新闻

1 主要合成橡胶生产能力突破6 000 kt/a,产品结构逐步优化据中国合成橡胶工业协会统计,2019年我国主要合成橡胶装置生产能力再创历史新高,突破6 000 kt/a大关。苯乙烯类热塑性弹性体系列产品产能增长势头明显,2019年新增超过100 kt。我国合成橡胶行业产品结构逐步优化,但是行业整体供需矛盾依然十分突出。2 丁二烯产能快速扩张,合成橡胶行业喜忧参半2019年,2套丁烯氧化脱氢丁二烯装置投产