间苯二酚六次甲基四胺络合物(PY)对白炭黑补强天然胶的影响

采用平衡溶胀法、力学性能以及老化性能，表征PY对白炭黑补强天然胶的影响。结果表明PY加强了橡胶-白炭黑界面的相互作用，使体系综合力学性能显著提高，加入了PY的硫化胶耐老化性也得到改善。     

GMA对天然橡胶/蒙脱土纳米复合材料老化性能的影响

以含双官能团的甲基丙烯酸缩水甘油酯（GMA）加入到天然胶（NR）／改性蒙脱土（EMT）体系中，原位反应制备出具有纳米结构的复合材料，进行了抗热氧老化、抗紫外光老化和抗臭氧老化实验。结果表明，GMA与NR和改性蒙脱土同时发生相互作用，形成的复合网络结构有效提高了复合材料的抗老化性能。     

防老剂LF-60对NR胶料热氧老化的防护

研究了新型复合型防老剂LF 60对NR胶料的硫化特性、自由状态和应力状态下的热氧老化的防护性能。试验结果表明 :防老剂LF 60对NR胶料的硫化特性的影响较小 ,其胶料硫化诱导期比防老剂A、D和 40 1 0NA长 ;对NR胶料热氧老化防护性能和氧化起始温度均高于防老剂A和D ,与防老剂 40 1 0NA相近 ;在NR胶料中防老剂LF 60的用量以 1 1 .5份为宜。     

Blind image quality assessment with improved natural scene statistics model

No-reference (NR)/blind image quality assessment (IQA) metrics play an important role in the area of image processing. Natural scene statistics (NSS) model assumes that natural images possess certain regular statistical properties and is widely used in NR IQA metrics. Most existing NSS-based NR algorithms are achieved by measuring the variation of image statistics, which are characterized by the fitting parameters of NSS model, across different distortions. However, distortions not only change the image statistics, but also disturb the statistical regularity held by natural images. As a result, the distribution of distorted images can not well follow the NSS model. There exists fitting error between the real distribution of the distorted image and the fitted one under certain NSS model. In this paper, the statistical distributions of the distorted images are discussed in detail. We suggest to take the fitting errors into account as well as the fitting parameters for feature extraction, and propose a novel NR IQA algorithm. Experimental results on several image databases demonstrate that the proposed metric performs highly consistent with human visual perception.     

No reference image blurriness assessment with local binary patterns

In this paper, we put forward an effective and efficient no reference image blurriness assessment metric on the basis of local binary pattern (LBP) features. In this proposal, we reveal that part of the LBP histogram bins present monotonously with the degree of blurriness. The proposed method contains the following steps. Firstly, the LBP maps of an input image are extracted with multiple radiuses. And then, the frequency of pattern histogram is analyzed before part of bins are chosen as the features. In addition, we also take the entropy of these bins as another feature. Finally, we learn the extracted features to predict the image blurriness score. Validation of the proposed method is conducted on the blurred images of LIVE-II, CSIQ, TID2008, TID2013, LIVE3D IQA Phase I and LIVE3D IQA Phase II. Experimental results demonstrate that compared with the state-of-the-art image quality assessment (IQA) methods, the proposed algorithm has notable advantage in correlation with subjective perception and computational complexity.     

Blind quality assessment for screen content images via convolutional neural network

With the wide propagation of cloud and mobile computing, screen content images (SCIs) have become more indispensable in our daily lives. Compared to natural scene images (NSIs), SCIs possess many particular characteristics, like mixed contents, extremely sharp edges, and text graphics. Consequently, more challenges occur in the feature extraction, which is used to reflect the distortion, during the quality assessment of SCIs. Recently, some convolutional neural network (CNN) models have been designed by automatically learning feature to evaluate the quality. In this paper, we develop a novel blind quality assessment method for SCIs via the CNN. First, compared with existing CNN-based methods, the proposed method avoids the disadvantage of training with image patches, and it is the pioneering attempt that takes the entire image as inputs. Second, instead of the image gray value, the original image is decomposed into two portions, i.e., the predicted and unpredicted portions, according to the internal generative mechanism (IGM) theory as the input of CNN. Through the CNN, all features of the image are learned automatically from beginning to end, and the network finally outputs the predicted score. Since existing SCI database is too small, to fully train the network, we collected 30000 SCIs and employed a high-accuracy full-reference quality assessment metric of SCI to compute scores as the training labels. Experimental results on SIQAD database demonstrate that the proposed method is comparable to reference-based SCI quality assessment metrics and is superior to the state-of-the-art NSI quality assessment metrics.     

Effect of surface-mannose modification on aerosolized liposomal delivery to alveolar macrophages

Purpose: The effect of surface-mannose modification on aerosolized liposomal delivery to alveolar macrophages (AMs) was evaluated in vitro and in vivo. Method: 4-Aminophenyl-α-D-mannopyranoside (Man) was used for surface-mannose modification, and mannosylated liposomes with various mannosylation rates (particle size: 1000 nm) were prepared. Results: In the in vitro uptake experiments, the uptake of mannosylated liposomes by AMs was increased with the increase in the mannosylation rate over the range 2.4–9.1 mol% Man and became constant at over 9.1%. Thus, the most efficient mannosylation rate was 9.1 mol% Man. Furthermore, free mannose inhibited the uptake of mannosylated liposomes by AMs. This indicates that the uptake mechanism of mannosylated liposomes by AMs is mannose receptor-mediated endocytosis. In the in vivo animal experiments, the mannosylated liposomes (mannosylation rate, 9.1 mol% Man) were more efficiently delivered to AMs after pulmonary aerosolization to rats than nonmodified liposomes and did not harm lung tissues. Conclusion: These results indicate that surface-mannose modification is useful for efficient aerosolized liposomal delivery to AMs.     

Swelling and electrical properties of rubber vulcanizates loaded with paraffin wax

The influence of the concentration of paraffin wax on the penetration rate, P, and the average diffusion coefficient, D, of kerosene in an SBR–NR composite and also on the coefficient of viscosity were investigated. All decreased with the addition of wax. Also, the effect of the concentration of paraffin wax on both the current–voltage characteristics and the temperature dependence of the dc electrical conductivity were studied. © 2001 John Wiley & Sons, Inc. J Appl Polym Sci 81: 3169–3177, 2001     

新型防老剂RT-1对天然橡胶性能的影响

研究新型防老剂RT-1对天然橡胶(NR)性能的影响。结果表明:加入防老剂RT-1,NR胶料的ML增大,MH减小,t90和ts1延长,老化后NR硫化胶的拉伸性能较好,热氧化活化能增大;防老剂RT-1对NR硫化胶热氧老化的防护效果优于防老剂BHT和4010NA。     

NR/CIIR/TPI共混物相容性及力学性能的分子动力学模拟

采用分子动力学(MD)方法计算了不同聚合度的天然橡胶(NR)、氯化丁基橡胶(CIIR)和杜仲胶(TPI)的溶解度参数,分析了体系的相容性;模拟研究了NR/CIIR/TPI共混物的力学性能。结果表明,添加30份以内的TPI可以降低模量,改善共混物的力学性能。