连续混炼过程比能耗分析

将连续混炼过程的有效比能耗分为升温、混炼、脱挥和建压比能耗,并提出了计算各项的一种方法。用该方法对不同机型、不同规格、不同加工对象的连续混炼机的比能耗进行了分析。结果表明,在多数连续混炼过程中,升温比能耗在总有效比能耗中所占比例都较大,建压比能耗所占比例都很小;原料热物性是影响有效比能耗及其构成的根本因素;当原料和混炼产物质量确定时,连续混炼机的螺杆与机筒结构、螺杆直径、产量、混炼工艺等都会影响有效比能耗及其构成。     

Inorganic/Organic Double‐Network Gels Containing Ionic Liquids

Highly robust ion gels, termed double‐network (DN) ion gels, composed of inorganic/organic interpenetrating networks and a large amount of ionic liquids (ILs), are fabricated. The DN ion gels with an 80 wt% IL content show extraordinarily high mechanical strength: more than 28 MPa of compressive fracture stress. In the DN ion gel preparation, a brittle inorganic network of physically bonded silica nanoparticles and a ductile organic network of polydimethylacrylamide (PDMAAm) are formed in the IL. Because of the different reaction mechanisms of the inorganic/organic networks, the DN ion gels can be formed by an easy and free‐shapeable one‐pot synthesis. They can be prepared in a controllable manner by manipulating the formation order of the inorganic and organic networks via not only multistep but also single‐step processes. When silica particles form a network prior to the PDMAAm network formation, DN ion gels can be prepared. The brittle silica particle network in the DN ion gel, serving as sacrificial bonds, easily ruptures under loading to dissipate energy, while the ductile PDMAAm network maintains the shape of the material by the rubber elasticity. Given the reversible physical bonding between the silica particles, the DN ion gels exhibit a significant degree of self‐recovery by annealing.     

MgO－CoO－NiO氧敏材料的缺陷化学及电导特性研究

本文用点缺陷理论分析了ＭｇＯ－ＣｏＯ－ＮｉＯ系氧敏材料的缺陷模型．并测量了ＭｇＯ－ＣｏＯ－ＮｉＯ材料的高温电导与氧分压的关系．在实验的基础上，研究了该材料的缺陷化学及电导特性，对其禁带宽度及缺陷的热力学参数进行了理论估算．实验结果与理论分析吻合得较好．     

树枝状大分子改性聚乙二醇生物材料的制备与研究

采用了新的"酸酐法"使用2,2-二羟甲基丙酸(DMPA)来合成一种具有规整结构树枝状大分子.制备好的树枝状大分子通过高效酯化反应接枝到聚乙二醇(PEG)两端,形成结构高度支化、表面官能团密度大、单分散性的大分子.树枝状大分子的制备过程中的分步提纯进行彻底,反应物在高效催化剂(DMAP)的存在下反应活性大,反应完全,得到的产物极其规整.之后用一步合成方法得到了树枝状大分子-聚乙二醇-树枝状大分子(dendrimers-PEG-dendrimers)的聚合物.通过红外光谱(FTIR)、核磁共振氢谱(1H-NMR)、凝胶渗透色谱(GPC)对聚合物及其中间产物的表征表明,合成的高分子结构严密地与理论相吻合.     

Comparison of the effects of Mg–6Zn and titanium on intestinal tract in vivo

To evaluate the ability of Mg–6Zn to replace titanium nails in the reconstruction of the intestinal tract in general surgery, we compared the Mg–6Zn and titanium implants with respect to their effects on rat’s intestinal tract by biochemical, radiological, pathological and immunohistochemical methods. The results indicated that Mg–6Zn implants started to degrade at the third week and disintegrate at the fourth week. No bubbles appeared, which may be associated with intestinal absorption of the Mg–6Zn implants. Pathological analyses (containing liver, kidney and cecum tissues) and biochemical measurements, including serum magnesium, creatinine, blood urea nitrogen, glutamic–pyruvic–transaminase and glutamic–oxaloacetic–transaminase proved that degradation of Mg–6Zn did not harm the important organs, which is an improvement over titanium implants. Immunohistochemical results showed that Mg–6Zn could enhance the expression of transforming growth factor-β₁. Mg–6Zn reduced the expression of tumor necrosis factor at different stages. In general, our study demonstrates that the Mg–6Zn alloy had good biocompatibility in vivo and performed better than titanium at promoting healing and reducing inflammation. It may be a promising candidate for stapler pins in intestinal reconstruction.     

仿生眼的研究现状与发展趋势

首先,在分析人眼眼球运动的特点和形式的基础上,详细介绍了国内外仿生眼研究对扫视性眼球运动、平滑性眼球运动、异向眼球运动、前庭动眼反射、视动反射等的模仿,最后总结了仿生眼研究的特点和发展趋势．     

Constructing Facial Identity Surfaces for Recognition

We present a novel approach to face recognition by constructing facial identity structures across views and over time, referred to as identity surfaces, in a Kernel Discriminant Analysis (KDA) feature space. This approach is aimed at addressing three challenging problems in face recognition: modelling faces across multiple views, extracting non-linear discriminatory features, and recognising faces over time. First, a multi-view face model is designed which can be automatically fitted to face images and sequences to extract the normalised facial texture patterns. This model is capable of dealing with faces with large pose variation. Second, KDA is developed to compute the most significant non-linear basis vectors with the intention of maximising the between-class variance and minimising the within-class variance. We applied KDA to the problem of multi-view face recognition, and a significant improvement has been achieved in reliability and accuracy. Third, identity surfaces are constructed in a pose-parameterised discriminatory feature space. Dynamic face recognition is then performed by matching the object trajectory computed from a video input and model trajectories constructed on the identity surfaces. These two types of trajectories encode the spatio-temporal dynamics of moving faces.     

Creation and control of high-dimensional multi-partite classically entangled light

Vector beams, non-separable in spatial mode and polarisation, have emerged as enabling tools in many diverse applications, from communication to imaging. This a...     

BOPP薄膜市场现状及发展趋势

介绍了我国双向拉伸聚丙烯薄膜的市场现状,并对其发展趋势进行了展望。