Regulatory Light Chains in Cardiac Development and Disease

The role of regulatory light chains (RLCs) in cardiac muscle function has been elucidated progressively over the past decade. The RLCs are among the earliest expressed markers during cardiogenesis and persist through adulthood. Failing hearts have shown reduced RLC phosphorylation levels and that restoring baseline levels of RLC phosphorylation is necessary for generating optimal force of muscle contraction. The signalling mechanisms triggering changes in RLC phosphorylation levels during disease progression remain elusive. Uncovering this information may provide insights for better management of heart failure patients. Given the cardiac chamber-specific expression of RLC isoforms, ventricular RLCs have facilitated the identification of mature ventricular cardiomyocytes, opening up possibilities of regenerative medicine. This review consolidates the standing of RLCs in cardiac development and disease and highlights knowledge gaps and potential therapeutic advancements in targeting RLCs.     

Preparation of High Strength and Toughness Aramid Fiber by Introducing Flexible Asymmetric Monomer to Construct Misplaced-Nunchaku Structure

High performance fibers with high strength and toughness have great potential in composites, but contradiction between tensile strength and elongation at break makes the preparation to become a current challenge. Herein, an asymmetric structure of more flexible diamine, 3,4′-diaminodiphenyl ether (3,4′-ODA), is introduced into heterocyclic aramid (PBIA) fibers to replace rigid symmetric p-phenylenediamine (PDA). By studying the properties of copolymer (mPEBA) fibers with different ratios of diamine, it is found that the mPEBA fiber reached the optimal mechanical properties with the 30% content of 3,4′-ODA. Compared with homopolymerized heterocyclic aramid fibers, the tensile strength and elongation at break of mPEBA fiber are improved by 26.2% and 38.7%, respectively. Results of X-ray diffraction show that the introduction of 3,4′-ODA structure can increase stretchability of mPEBA fibers, improving the orientation degree during hot-drawing. Molecular dynamics simulations confirm that 3,4′-ODA structure undergoes a conformation transformation to form a straightened chain during hot-drawing, while symmetrical 4,4′-diaminodiphenyl ether (4,4′-ODA) cannot form the same conformation. The misplaced-nunchaku structure is formed based on the special meta-para position of 3,4′-ODA, achieving the synergy of high strength and high toughness.     

考虑电动汽车时空接入随机性的充储电站有序充放电分散式优化

针对电动汽车时空接入的随机性,提出一种基于改进拉格朗日对偶松弛法的充储电站有序充放电分散式优化调度方法.首先,根据出行链和马尔可夫决策理论,建立计及出行路径随机性的电动汽车时空接入模型和不同温度及交通路况下的电动汽车单位行驶里程能耗模型;其次,考虑电动汽车的充放电约束、充储电站和配电网的运行约束,构建以充储电站收益最大化为目标函数的充储电站侧优化数学模型;然后,基于改进拉格朗日对偶松弛法,提出该模型的分散式优化求解方法;最后,以某典型城区道路拓扑为例,对比分析不同出行路径、温度、交通路况和调度策略下各充储电站的收益、负荷曲线和计算效率.算例结果表明:所提方法综合考虑多种环境因素,使充储电站的调度结果更加全面实际,且计算效率得到了大幅提升.     

基于异构能源区块链的综合能源系统交易模型

综合能源系统是对电、气、热、冷能进行统一规划调度的综合系统,顺应了供给侧改革的趋势.目前综合能源系统的用户呈现个体化、分散化的趋势,传统的单向集中式输配电服务模式逐渐不适应这种趋势.基于区块链技术,设计了一种综合能源系统交易模型.采用异构能源区块链的结构模式,利用智能合约建立了基于价格约束的匹配拍卖机制,保障了清洁能源用户的供能优先级,并采用双重认证机制,保障了交易的可靠性.在实验环境下对所设计模型进行分析,仿真结果验证了所提综合能源系统交易模型的有效性和可行性.     

炼油厂价值链分析与优化

运用价值链分析方法对炼油厂内、外部的价值活动进行了分析,将炼油厂内部价值链划分为主生产作业链、辅助生产作业链和辅助价值链三部分,通过分析指出产品结构不合理、炼油成本较高是影响炼油业务价值的主要原因,针对企业实际情况,提出价值链优化调整策略:提高炼油技术水平,优化装置结构和产品结构,增产高附加值产品,不断提高企业经济效益。     

甲型肝炎病毒(L-A-1株)基因型分析

目的 分析甲肝病毒基因型,为确定我国甲肝的分子流行病学及疫苗的安全性和免疫原性奠定基础。方法 采用抗原捕获聚合酶链反应（AC/PCR）,依据国际上甲肝病毒分型标准,扩增VP1/2A结合处的168个核苦酸（nt2909～3264）。结果 经生物信息学软件分析,得出L-A-1株病毒属于甲肝病毒基因IB亚型。结论 在我国有IA和IB两个亚型甲肝病毒流行。     

聚酯酰胺热熔胶的合成及其性能研究

研究了以聚酯胶和聚酰胺胶为原料在催化剂作用下加热共熔,通过大分子链交换反应制备织物用聚酯酰胺热熔胶的方法。用聚酯胶的溶剂对所得产品进行溶取试验并且通过红外光谱分析都证明了链交换反应的存在。用该法所得产品粘接强度大,既耐水洗又耐干洗,适用于粘合衬生产。     

扩链剂在PVC树脂生产中的应用

讨论了常见扩链剂的功能及在聚氯乙烯树脂生产中的应用。     

Decision support and intelligent systems in the textile and apparel supply chain: An academic review of research articles

This article provides a comprehensive review of research articles related to the application of decision support and intelligent systems in the textile and apparel supply chains. Data were obtained from 77 articles published from 1994 to 2009 in 35 journals. The articles were categorized according to their applicability into three basic sectors – textile production, apparel manufacture, and distribution/sales. They were further categorized into 16 subsectors based on their operational and management/control processes. A comprehensive list of categorized journal articles identified in this study provides insights and relevant references for both researchers and practitioners on the application of decision support and intelligent systems to various stages of a textile and apparel supply chain. In light of the developed classification framework, we identify gaps in extending the use of the decision support and artificial intelligent systems in the industry and suggest potential and applicable research areas for further consideration in this subject area.     

Performance of supply chain collaboration – A simulation study

In the past few decades several supply chain management initiatives such as Vendor Managed Inventory, Continuous Replenishment and Collaborative Planning Forecasting and Replenishment (CPFR) have been proposed in literature to improve the performance of supply chains. But, identifying the benefits of collaboration is still a big challenge for many supply chains. Confusion around the optimum number of partners, investment in collaboration and duration of partnership are some of the barriers of healthy collaborative arrangements. To evolve competitive supply chain collaboration (SCC), all SC processes need to be assessed from time to time for evaluating the performance. In a growing field, performance measurement is highly indispensable in order to make continuous improvement; in a new field, it is equally important to check the performance to test conduciveness of SCC. In this research, collaborative performance measurement will act as a testing tool to identify conducive environment to collaborate, by the way of pinpointing areas requiring improvements before initializing collaboration. We use actual industrial data and simulation to help managerial decision-making on the number of collaborating partners, the level of investments and the involvement in supply chain processes. This approach will help the supply chains to obtain maximum benefit of collaborative relationships. The use of simulation for understanding the performance of SCC is relatively a new approach and this can be used by companies that are interested in collaboration without having to invest a huge sum of money in establishing the actual collaboration.