Exact Recovery of Stochastic Block Model by Ising Model

In this paper, we study the phase transition property of an Ising model defined on a special random graph—the stochastic block model (SBM). Based on the Ising model, we propose a stochastic estimator to achieve the exact recovery for the SBM. The stochastic algorithm can be transformed into an optimization problem, which includes the special case of maximum likelihood and maximum modularity. Additionally, we give an unbiased convergent estimator for the model parameters of the SBM, which can be computed in constant time. Finally, we use metropolis sampling to realize the stochastic estimator and verify the phase transition phenomenon thfough experiments.     

Thermal-mechanical behavior of styrene-based shape memory polymer tubes

Styrene-based shape memory polymer (SMP) tubes were fabricated and their basic mechanical properties in different deformation states were investigated. The tensile, compression, bending and twisting shape memory properties of the tubes were analyzed and discussed, and the results indicated that SMP tubes exhibit good shape fixity ratio and shape recovery ratio. In addition, the shape recovery behavior was investigated at different heating rates. These experimental results will provide guidance for future applications of SMP tube structures.     

Evaluating shape memory behavior of polymer under deep-drawing conditions

Thermoplastic polyurethanes (TPU) are a popular family of shape memory polymers (SMP) due to their excellent abrasion & weather resistant, and mechanical strength. However, conventional processing operations or their combination with other polymers by adhesion or blending can affect their unique shape memory behavior. Currently, there are no effective methods to study and quantify the shape memory behavior of SMP based polymer laminates as they would respond to deep drawing operations. In this paper, a new method was introduced to effectively quantify the recovery behavior of TPU based polymer laminates undergoing simultaneous stretching and bending operations at different processing temperatures. The results presented show the value of developing a shape recovery characterization method that resembles the stresses of thermoforming to properly assess formability of shape memory polymers used in laminate constructions.     

Measuring nitrate concentration in wastewaters with high chloride content

The presence of chloride ions in wastewaters in concentrations above 50 mg/L poses interference in several methods used for the measurement of nitrate-nitrogen. The aim of this study was to characterise the reliability and costs of some commonly available methods for the analysis of nitrate concentration in landfill leachate which contains high chloride levels. To investigate the effect of chloride interference, several widely used methods [ion chromatography (IC), continuous flow analysis (CFA), the German standard method (DIN), cuvette test (CUV), standard addition method (SAM) and reflectometric test (REF)] were used to measure the nitrate concentration in synthetic solutions containing varying concentrations of chloride and nitrate-nitrogen. Nitrate recoveries of the various methods were found to decrease in the following rank order: CUV (>95%) > IC (>90%) > CFA (89%) > DIN (88%) > REF (70%) > SAM (<80%). In the second part of the study, the same methods were used to measure nitrate concentrations in samples of biologically nitrified landfill leachate with and without chloride elimination. For leachate samples without chloride elimination, CUV results were well correlated (linear regression) with IC results (slope = 1.02/R² = 0.99) but to lesser extents with results obtained by CFA (0.91/0.86), DIN (0.89/0.97) and REF (0.86/0.77), and not correlated with SAM (0.74/–1.3). The incurred measurement costs per sample (in Euros) for the methods were as follows: CFA (<0.1) < DIN (0.6) < REF (0.7) < SAM (3) < CUV (3.8) < IC (15). Cuvette tests are recommended as the method of choice due to their accuracy and lower cost than IC.     

紫外分光光度法测定氯氟吡氧乙酸十二酯的研究

以甲醇作为溶剂,用紫外分光光度法测定氯氟吡氧乙酸十二酯的含量,测得氯氟吡氧乙酸十二酯对照品溶液浓度在12.0～20.0μg/mL范围之内线性关系良好,其线性方程为A=0.0815C+0.0318(R2=0.9832).平均回收率为90.86%,RSD为5.3%(n=6),结果说明方法简便、灵敏、准确,重现性好.     

溶剂萃取法提锂的研究进展

总结了采用溶剂萃取法在盐湖卤水中提取锂资源的三类萃取剂:酸性萃取剂、中性络合萃取剂和碱性萃取剂,分析了三类不同萃取剂在萃取锂工艺过程的优缺点,指出了溶剂萃取法从高镁锂比的盐湖卤水中萃取提锂尚待攻克的技术难题。     

一种基于RTO的业务排序算法

业务影响分析是业务连续性计划中较为关键的一步,其最终目标是对企业中业务的重要性进行排序。文中的目的是提出一种企业在进行灾难恢复时,各个业务过程之间恢复优先顺序的排序算法。该算法在设计时基于RTO进行排序,并考虑了业务之间的相互依赖关系对恢复顺序的影响。通过实验显示了该算法的合理性：使用该算法可以更好地实施业务影响分析,缩短分析时间,从而提高整个业务连续性实施过程的效率。     

Neuronal RNA granule contains ApCPEB1, a novel cytoplasmic polyadenylation element binding protein, in Aplysia sensory neuron

The cytoplasmic polyadenylation element (CPE)-binding protein (CPEB) binds to CPE containing mRNAs on their 3'' untranslated regions (3''UTRs). This RNA binding protein comes out many important tasks, especially in learning and memory, by modifying the translational efficiency of target mRNAs via poly (A) tailing. Overexpressed CPEB has been reported to induce the formation of stress granules (SGs), a sort of RNA granule in mammalian cell lines. RNA granule is considered to be a potentially important factor in learning and memory. However, there is no study about RNA granule in Aplysia. To examine whether an Aplysia CPEB, ApCPEB1, forms RNA granules, we overexpressed ApCPEB1-EGFP in Aplysia sensory neurons. Consistent with the localization of mammalian CPEB, overexpressed ApCPEB1 formed granular structures, and was colocalized with RNAs and another RNA binding protein, ApCPEB, showing that ApCPEB1 positive granules are RNA-protein complexes. In addition, ApCPEB1 has a high turnover rate in RNA granules which were mobile structures. Thus, our results indicate that overexpressed ApCPEB1 is incorporated into RNA granule which is a dynamic structure in Aplysia sensory neuron. We propose that ApCPEB1 granule might modulate translation, as other RNA granules do, and furthermore, influence memory.     

MSC Pool被叫恢复研究

对MSC Pool中被叫问题产生的原因、解决方案进行了详细的分析和研究,并讨论了二次、一次被叫恢复流程。     

1.25～3.125 Gb/s连续数据速率CDR设计

设计了一款工作速率为1.25～3.125 Gb/s的连续可调时钟数据恢复(CDR)电路,可以满足多种通信标准的设计需求.CDR采用相位插值型双环路结构,使系统可以根据应用需求对抖动抑制和相位跟踪能力独立进行优化.针对低功耗和低噪声的需求,提出一种新型半速率采样判决电路,利用电流共享和节点电容充放电技术,数据速率为3.125 Gb/s时,仅需要消耗50 μA电流.芯片采用0.13 μm工艺流片验证,面积0.42 m㎡,功耗98 mw,测试结果表明,时钟数据恢复电路接收PRBS7序列时,误码率小于10-12.