异氰酸酯的应用与市场需求

本文概述了生产聚氨酯的主要原料异氰酸酯，工业上应用最广泛、产量最大的为ＴＤＩ和ＭＤＩ，而ＭＤＩ已发展成为目前世界上最有前途产品。文中还叙述了ＭＤＩ的应用领域与市场需求的情况。     

仟禧轮胎技术研讨会在上海召开

ＶＭＩ公司是世界著名的专门供应轮胎生产设备和试验设备的制造商，在制造高质量、高技术设备方面具有５０多年的经验，在制造所有规格斜交轮胎和子午线轮胎生产设备、轮胎试验机和炼胶设备等各种类型高质量及高技术设备方面具有３０多年的经验。作为轮胎成型机的生产厂家，在世界上占有领先地位。ＶＭＩ公司每年的技术开发与研究经费占总营业额的６％，使之能够为客户提供世界上最先进的技术。ＶＭＩ公司的高质量产品体系于１９９５年获得了ＩＳＯ９００１质量认可证书，１９９９年再次通过了ＩＳＯ９００１的认证。　　目前，ＶＭＩ公司拥…     

TDI型聚氨酯固化剂中游离TDI百分含量及性质

介绍了在不同ＮＣＯ／ＯＨ条件下，ＴＤＩ与ＴＭＰ合成ＴＭＰ（ＴＤＩ）３聚氨酯固化剂时，通过对未反应单体ＴＤＩ％含量变化的分析，提出减少游离ＴＤＩ％含量和消除未反应ＴＤＩ的有效方法。     

异氰酸酯TDI,MDI的合成技术与市场展望

本文介绍了合成聚氨脂所需的重要原料ＴＤＩ，ＭＤＩ的应用，生产工艺，特别谈到了非光气化法生产ＭＤＩ的合成新路线和ＴＤＩ，ＭＤＩ的国内外发展概况，并对市场现状进行分析，阐明了它广阔的发展前景。     

用MI值评价聚丙烯的可纺性初探

通过三个牌号聚丙烯２３０～２６０℃的ＭＩ值曲线分析，发现ＭＩ值温度曲线和分子量重量分数曲线有对应关系，可以用其曲线的形状来评价其可纺性。试验结果，Ⅰ号样品的曲线较平稳，可纺性较好，Ⅲ号样品曲线斜率出现突变，可纺性较差。     

陶瓷企业CIMS实施的现状及展望

本文就我国陶瓷行业计算机管理系统ＭＩＳ及计算机集成综合自动化系统ＣＩＭＳ的现状及发展的前景进行了分析，根据陶瓷企业生产工艺和生产管理的特点，结合陶瓷企业系统结构的优化，提出了陶瓷企业ＣＩＭＳ模型及陶瓷企业ＣＩＭＳ的最终目标与系统设计的方法。     

常温快速固化的聚氨酯弹性体的合成研究

介绍利用半预聚法，用混合二醇和混合ＭＤＩ合成可实现常温快速固化的聚氨酯弹性体的方法并对影响产品物理机械性能、合成工艺条件的因素进行了探讨。     

CIMS技术的进展与研究动向

本文对ＣＩＭＳ的体系结构，模型和方法进行了综述并指出了它们的特点，给出了一个过程企业的应用系统体系结构。对ＣＩＭＳ研究的特点和灵活制造企业也作了介绍，重点结合化学工业的应用进行了讨论。     

苯乙烯类热塑性弹性体对IR／CR的增容作用

采用相差显微镜及Ｍｏｏｎｙ－Ｒｉｖｌｉｎ方程中的２Ｃ１和２Ｃ２等方法，研究了少量ＳＩＳ，ＳＢＳ，α－甲基苯乙烯和丁二烯的三嵌段共聚物（ＭＳＢＭＳ）对ＩＲ／ＣＲ共混物相态结构、交联行为和力学性能的影响。结果表明，加入ＳＩＳ，ＳＢＳ，ＭＳＢＭＳ厅明显降低分散相尺寸，使体系分布均匀，提高了硫化胶的交联密度和拉伸强度。降低节体系煌内部损耗。对ＩＲ／ＣＲ共混物的增容效果，以ＳＩＳ为最好，ＳＢＳ次之，ＭＳＢＭ     

CIMS中MRPI与DCS的信息集成方法

以国家８６３／ＣＩＭＳ示范应用工程ＹＨＣＩＭＳ为背景，通过ＣＩＭＳ环境下ＭＲＰＩＩ与ＤＣＳ有关的信息流分析，给出了流程型行业ＭＲＰＩ与ＤＣＳ的信息集成方法及具体实例。     

质量集成方法在合流制排水系统改造中的应用

质量集成是过程系统工程中一个极为重要的新发展,自提出以来便作为新的理论方法指导着工业企业实现清洁生产。在一些过程工业生产中,只建立在节省新鲜水用量、减少废水排放等方面的质量交换网络取得显著成效。针对合流制排水系统中主要污染物溢流污染及系统建造运行费用昂贵等问题,提出了将质量集成方法应用于合流制排水系统的改造中,从而通过质量交换网络的建立实现排水系统中污染物含量的最小化,减轻末端污水处理厂的负荷,实现环境和经济的双赢。     

The Selective Histone Deacetylase Inhibitor MI192 Enhances the Osteogenic Differentiation Efficacy of Human Dental Pulp Stromal Cells

The use of human dental pulp stromal cells (hDPSCs) has gained increasing attention as an alternative stem cell source for bone tissue engineering. The modification of the cells’ epigenetics has been found to play an important role in regulating differentiation, with the inhibition of histone deacetylases 3 (HDAC3) being linked to increased osteogenic differentiation. This study aimed to induce epigenetic reprogramming using the HDAC2 and 3 selective inhibitor, MI192 to promote hDPSCs osteogenic capacity for bone regeneration. MI192 treatment caused a time–dose-dependent change in hDPSC morphology and reduction in viability. Additionally, MI192 successfully augmented hDPSC epigenetic functionality, which resulted in increased histone acetylation and cell cycle arrest at the G₂/M phase. MI192 pre-treatment exhibited a dose-dependent effect on hDPSCs alkaline phosphatase activity. Quantitative PCR and In-Cell Western further demonstrated that MI192 pre-treatment significantly upregulated hDPSCs osteoblast-related gene and protein expression (alkaline phosphatase, bone morphogenic protein 2, type I collagen and osteocalcin) during osteogenic differentiation. Importantly, MI192 pre-treatment significantly increased hDPSCs extracellular matrix collagen production and mineralisation. As such, for the first time, our findings show that epigenetic reprogramming with the HDAC2 and 3 selective inhibitor MI192 accelerates the osteogenic differentiation of hDPSCs, demonstrating the considerable utility of this MSCs engineering approach for bone augmentation strategies.     

一次降解法生产高MI聚丙烯

分析了降解法生产工艺过程及存在的生产难点，采取措施解决了问题，实现了高熔体流动指数聚丙烯的大批量生产。     

Practical use of intrinsic viscosity for polyethylenes

Although usually derived from measurements at several concentrations, intrinsic viscosity (IV) can be determined with good precision from a single measurement. IV tends to be a regular and distinct function of melt index (MI) for each family of high-density polyethylenes. The tendency to regularity suggests a use in routine control, uniform production being marked by a small scatter about the IV–MI line. The distinctiveness marks one family of medium high and high-density resins from another, and becomes a rapid means of identifying the production method of a resin. Further, IV at a given MI correlates roughly with properties, and can be used to characterize a resin. These attributes of the IV–MI relationship arise from the correlation of IV a t a given MI with width of molecular weight distribution. Such width varies considerably among commercial high-density polyethylenes, causing a commensurate variation in IV. Among low-density polyethylenes the IV–MI relationships is less useful, being confused by long-chain branching.     

Development of polyethylene melt index inferential model

In polyolefin processes the melt index (MI) is the most important control variable indicating product quality. Because of the difficulty in the on-line measurement of MI, a large number of MI estimation and correlation methods have been proposed. In this work, we propose a new MI predicting model in which the reaction heat term in existing prediction models is replaced by temperature. The proposed model is compared with other prediction models as well as operating data to evaluate MI predicting performance. The present model shows least predicting errors compared to existing models.     

Melt index prediction with a mixture of Gaussian process regression with embedded clustering and variable selections

In this study, a penalized mixture of the Gaussian process regression model was proposed for the prediction of melt index (MI) in industrial polymer production. MI plays an important role in detecting the grade of a product. It is difficult to measure directly and is characterized by a large number of variables and multigrades. Because of multigrade products, in the development of soft sensors for MI prediction, it is not valid to assume unimodal Gaussian distribution of the data. To this end, the proposed method is capable of the simultaneous identification of significant variables and determination of important clusters of multigrade products. It is based on the shrinkage methods that have been shown to provide stable models that are more interpretable. Case studies are presented to show the features of the proposed method and its applicability to industrial MI prediction. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017 , 134, 45237.     

Prediction of the Melt Index Based on the Relevance Vector Machine with Modified Particle Swarm Optimization

A novel chemical soft‐sensor approach for the prediction of the melt index (MI) in the propylene polymerization industry is presented. The MI is considered as one of the important variables of quality that determine the product specifications. Thus, a reliable estimation of the MI is crucial in quality control. An accurate optimal predictive model of MI values with the relevance vector machine (RVM) is proposed, where the RVM is employed to build the MI prediction model; a modified particle swarm optimization (MPSO) algorithm is then introduced to optimize the parameter of the RVM, and the MPSO‐RVM model is thereby developed. An online correcting strategy (OCS) is further carried out to update the modeling data and to revise the model's parameter self‐adaptively whenever model mismatch happens. Based on the data from a real polypropylene production plant, a detailed comparison is carried out among the least squares support vector machine (LS‐SVM), RVM, MPSO‐RVM, and OCS‐MPSO‐RVM models. The research results reveal the prediction accuracy and validity of the proposed approach.     

稳态反应模型在气相聚乙烯反应器中的应用

通过对气相流化床聚乙烯工艺稳态反应模型的应用进行分析，讨论了中间控制参数温度、氢气乙烯摩尔比、共聚单体乙烯摩尔比、催化剂产率等输入变量对反应器输出变量树脂性能－熔体流动指数（MI）的影响。选择工业实例，对系统出现波动后人工调控MI与利用稳态反应模型的计算机调控MI的过程分别进行了计算，并对2种调控过程进行了比较，证明了稳态反应模型在工业质量控制中的优越性。     

基于典型相关分析和数据自回归处理的BP神经网络在聚丙烯熔融指数预报中的应用

由于聚丙烯生产是一个大量参数相互耦合的强非线性过程,使得传统的机理建模受到一定的限制。提出基于典型相关分析和数据自回归处理的BP神经网络软测量建模,通过可测变量来推知聚丙烯熔融指数。应用典型相关分析选择与输出熔融指数关系较大的独立输入变量,数据自回归处理校正一系列带有误差的量测数据,而BP神经网络用来刻画过程的非线性特征。最后,将提出的算法应用到聚丙烯大型生产工艺中进行熔融指数的预报建模并进行实例仿真,仿真结果表明该算法有较强的建模精度。     

Therapeutic Acellular Scaffolds for Limiting Left Ventricular Remodelling-Current Status and Future Directions

Myocardial infarction (MI) is one of the leading causes of heart-related deaths worldwide. Following MI, the hypoxic microenvironment triggers apoptosis, disrupts the extracellular matrix and forms a non-functional scar that leads towards adverse left ventricular (LV) remodelling. If left untreated this eventually leads to heart failure. Besides extensive advancement in medical therapy, complete functional recovery is never accomplished, as the heart possesses limited regenerative ability. In recent decades, the focus has shifted towards tissue engineering and regenerative strategies that provide an attractive option to improve cardiac regeneration, limit adverse LV remodelling and restore function in an infarcted heart. Acellular scaffolds possess attractive features that have made them a promising therapeutic candidate. Their application in infarcted areas has been shown to improve LV remodelling and enhance functional recovery in post-MI hearts. This review will summarise the updates on acellular scaffolds developed and tested in pre-clinical and clinical scenarios in the past five years with a focus on their ability to overcome damage caused by MI. It will also describe how acellular scaffolds alone or in combination with biomolecules have been employed for MI treatment. A better understanding of acellular scaffolds potentialities may guide the development of customised and optimised therapeutic strategies for MI treatment.