Non-doped active layer,benzo[k]fluoranthene-based linear acenes,for deep blue- to green-emissive organic light-emitting diodes

This work studies a series of fluorescent materials, benzo[k]fluoranthene-based linear acenes, and uses these materials directly as the non-doped active layer to fabricate deep blue- to green-emissive organic light emitting diodes (OLEDs). Experimental results indicate that benzo[k]fluoranthene-based linear acenes with different substituents in pristine films have a wide range and strong intensity of the luminescence spectra. The substituents of benzo[k]fluoranthene derivatives modulate the lifetime of the excited state and PL spectra of excitonic, excimer or both emissions in the solid state. Controls of emission spectra are exploited in fabricating high-performance non-doped deep blue to green OLEDs with electroluminescence in the deep blue region (420–460 nm), green region (480–580 nm) or both (430–580 nm).     

3,5-二甲基-4-溴碘苯和2,6-二甲基-4-溴碘苯的合成

二甲基对溴碘代苯是带有两种不同卤素基团的芳香族有机合成中间体。2,6-二甲基苯胺在过碳酸钠作用下,于45~50℃与碘反应1 h,得到2,6-二甲基-4-碘苯胺,收率42.5%。2,6-二甲基-4-碘苯胺在-5~0℃下进行重氮化,进一步与溴化亚铜发生Sandm eyer反应,得到3,5-二甲基-4-溴碘苯,收率31.5%。2,6-二甲基苯胺室温下与六亚甲基四胺溴络合物反应30 m in,得到2,6-二甲基-4-溴苯胺,收率62.0%。2,6-二甲基-4-溴苯胺在-5~0℃进行重氮化,与K I反应,得到2,6-二甲基-4-溴碘苯,收率33.1%。通过熔点、红外光谱和核磁共振氢谱对中间体2,6-二甲基-4-碘苯胺、2,6-二甲基-4-溴苯胺以及最终产物3,5-二甲基-4-溴碘苯和2,6-二甲基-4-溴碘苯进行了表征。     

Multiobjective Optimal Design of Sewerage Rehabilitation by Using the Nondominated Sorting Genetic Algorithm-II

Application of multiobjective optimization in sewerage rehabilitation management is not widespread due to the limitation of data collection and complex optimization process. Thus, a few researches in literature focused on sewerage rehabilitation optimization, and only considered two-objective optimization usually between the service life and the direct cost instead of a social cost. A sewerage rehabilitation multiobjective optimization decision support system (SRMOS) was developed for sewerage rehabilitation management in this study. The nondominated sorting genetic algorithm-II was used to design a set of Pareto surfaces with desirable rehabilitation effectiveness at the lowest cost by providing optimal plans comprising a construction method and substitute material. The SRMOS was applied to a real sewerage system to provide tradeoff solutions for three conflicting objectives, which are minimizing rehabilitation cost, maximizing pipe service, and minimizing traffic disruption. Compared with the experts' manual estimation, the plan derived from the SRMOS enables saving nearly 20 % of the rehabilitation cost. The contours of the rehabilitation cost show the equivalent relation between the traffic disruption and service life of pipes. The results indicate that increasing the number of objectives can make up the drawback of cost hard to be quantified and can also facilitate deriving practical plans for reference in decision-making.     

Switching supports for stateful object remoting on network processors

Distributed object-oriented environments have become important platforms for parallel and distributed service frameworks. Among distributed object-oriented software, .NET Remoting provides a language layer of abstractions for performing parallel and distributed computing in .NET environments. In this paper, we present our methodologies in supporting .NET Remoting over meta-clustered environments. We take the advantage of the programmability of network processors to develop the content-based switch for distributing workloads generated from remote invocations in .NET. Our scheduling mechanisms include stateful supports for .NET Remoting services. In addition, we also propose scheduling policy to incorporate work-flow models as the models are now incorporated in many of tools of grid architectures. The result of our experiment shows that the improvement of EFT is from 5% to 21% when compared to ETT and is from 8% to 34% when compared to RR while the stateful task ratio is 50%. Our schemes are effective in supporting the switching of .NET Remoting computations over meta-cluster environments.     

Resonance Assignments of Lowly Populated and Unstable Enzyme Intermediate Complex under Real-Time Conditions

Unstable and low-abundance protein complexes represent a large family of transient protein complexes that are difficult to characterize, even by means of high-resolution NMR spectroscopy. A method to assign the NMR signals of these unstable complexes through a combination of selective isotope labeling of amino acids in a protein and site-specific labeling the protein with a paramagnetic tag is presented herein. By using this method, the resonances of unstable thioester intermediate complex (lifetime <5 h and highest concentration ≈20 μm ) generated by Staphylococcus aureus sortase A and its peptide substrate under a real-time reaction have been assigned.     

T-S模糊广义系统研究综述

对目前T-S模糊广义系统的研究成果加以总结. 主要讨论了T-S模糊广义系统的分析、综合与应用的问题, 并对这一研究领域仍需解决的问题和未来的发展方向作了进一步的展望.     

黄曲霉毒素荧光增敏技术研究进展

黄曲霉毒素是农产品和粮油产品的重点监控污染物, 痕量污染即可造成严重后果, 对其实现监控的有效途径是高灵敏度检测技术。通过增强黄曲霉毒素的天然荧光提高检测技术的灵敏度是目前黄曲霉毒素增敏的重要途径。本文对黄曲霉毒素的各种传统荧光增强技术以及前沿的超分子荧光增强技术进行综述, 分析黄曲霉毒素快速荧光增强技术发展趋势。     

黄曲霉毒素新型抗体制备研究进展

免疫学检测方法具有快捷、灵敏、特异性高的特点,在毒素的定量和定性方面已获得了快速的发展,成为毒素检测方法的研究热点。而高质量抗体的制备是建立特异性强、灵敏度高的免疫分析方法关键。目前主流研究和应用的抗体是单克隆抗体,其性质稳定,特异性强,灵敏度高。随着抗体技术的发展,重组抗体在免疫检测领域也逐渐应用。与多克隆抗体、单克隆抗体相比较而言,重组抗体具有独特的优势,可以在原核表达体系里短时间内大量生产且生产费用低廉,对黄曲霉毒素的低成本、大规模检测有重要的应用价值。本文重点阐述和分析了黄曲霉毒素单克隆抗体、重组抗体制备过程中存在的影响因素及问题,并对未来黄曲霉毒素抗体的发展前景进行了展望。     

不同采收期不同品种莲藕的营养品质变化规律及评价

目的 探究不同采收期不同品种莲藕的营养成分和活性成分的变化规律。方法 选取5个采收期的4个品种莲藕,测定蛋白质、淀粉等指标。采用主成分分析和聚类分析进行综合评价,并建立莲藕品质评价模型。结果 在采收期内,莲藕淀粉含量呈现先上升后下降再上升的趋势,可溶性糖的变化趋势与其相反;总酚含量整体呈现先上升后下降的趋势;蛋白质、膳食纤维等指标呈现不同的变化规律。主成分分析法提取出PC1、PC2、PC3 3个主成分因子,特征值依次为2.274、1.933、1.023,累积方差贡献率达87.170%。不溶性膳食纤维、可溶性膳食纤维、可溶性总糖、淀粉、总酚和总黄酮6个指标可以用来综合评价莲藕营养品质。综合评价发现, 9月采收的八月粉,10月的鄂莲6号,2月的鄂莲10号和鄂莲11号,营养品质较好,优于其他采收期。3月采收的4个品种莲藕的综合营养品质较低。结论 在采收期内, 4个品种莲藕的营养物质动态规律存在一定差异。基于主成分分析和聚类分析的分析方法能够科学评价不同采收期莲藕的综合营养品质,为莲藕育种、加工等提供支撑。     

自动驾驶交叉路口测试场景建模及验证方法

自动驾驶汽车在缓解交通拥堵和消除交通事故方面发挥着重要作用.为了保证自动驾驶系统的安全性和可靠性,在自动驾驶汽车部署到公共道路之前,必须进行全面的测试.现有的测试场景数据大多来源于交通事故和交通违法场景,而且自动驾驶系统最基本的安全需求就是遵守交通法规,这充分体现了自动驾驶汽车遵守交通规则的重要性.然而,目前严重缺少针对交通法规构建的自动驾驶测试场景.因此,本文从交通法规出发,根据自动驾驶系统安全需求,提出交叉路口测试场景的Petri网建模及形式化验证方法.首先,依据自动驾驶测试场景对交规进行分类,提取适合自动驾驶汽车的文本交规,并进行半形式化表征.其次,以覆盖道路交通安全法规以及测试场景功能测试规程为目标,融合交叉路口场景要素的交互行为,合理选择并组合测试场景要素,布设交叉路口测试场景.然后,基于交规的测试场景被建模为一个Petri网,其中,库所描述自动驾驶汽车的状态,变迁表示状态的触发条件,并选择时钟约束规范语言（CCSL）作为中间语义语言,将Petri网转换为一个可进行形式化验证的中间语义模型,提出具体的转换方法.最后,通过Tina软件分析验证交规场景模型的活性、有界性和可达性,结果表明所建模型的正确性,并基于SMT的分析工具MyCCSL来分析CCSL约束,采用LTL公式以形式化方法验证交规场景模型的一致性.