Partner selection in green supply chains using PSO – a practical approach

Partner selection is crucial to green supply chain management as the focal firm is responsible for the environmental performance of the whole supply chain. The construction of appropriate selection criteria is an essential, but often neglected pre-requisite in the partner selection process. This paper proposes a three-stage model that combines Dempster–Shafer belief acceptability theory and particle swarm optimisation technique for the first time in this application. This enables optimisation of both effectiveness, in its consideration of the inter-dependence of a broad range of quantitative and qualitative selection criteria, and efficiency in its use of scarce resources during the criteria construction process to be achieved simultaneously. This also enables both operational and strategic attributes that can be selected at different levels of hierarchy criteria in different decision-making environments. The practical efficacy of the model is demonstrated by an application in Company ABC, a large Chinese electronic equipment and instrument manufacturer.     

罗苏伐他汀和阿托代他汀对代谢综合征患者LDL和HDL颗粒浓度的作用

目的本研究旨在检测他汀类药物对代谢综合征患者脂蛋白颗粒浓度的影响,脂蛋白颗粒浓度改变更能作为反映冠心病的预测因子。方法40例代谢综合征患者随机分为罗苏伐他汀组和阿托伐他汀组,前6周这两组分别服本组药10mg/d,后6周分别服本组药20mg/d,脂蛋白水平比较用共变异数分析(ANCOVA)。结果他汀类药均能改变LDL-C浓度,但对LDL颗粒浓度的改变作用明显小于LDL-C,两种药物比较,罗苏伐他汀对脂蛋白颗粒的作用比阿托伐他汀强。结论在代谢综合征的患者中他汀诱导的LDL-C改变不能精确的反映LDL颗粒浓度的改变。     

8mm带状注扩展互作用振荡器研究

研究了采用带状电子束的周期加载矩形扩展互作用振荡器,分析该结构的优点、色散特性和耦合阻抗,并利用模拟软件进行了冷腔分析。设计出了工作波长为8mm的腔体结构,分析了工作模式为TM31模的场分布。按照冷腔设计结果进行了PIC粒子模拟,电压为19kV、电流为3A的带状电子束在纵向磁场为0.3T的约束下与腔体中的TM31模电磁波互作用。模拟结果表明,电磁波的输出波频率为37.9GHz,功率为3.5kW,验证了在该结构中带状注与高次模互作用的设计思想。     

On periodic autoregressive stochastic volatility models: structure and estimation

To capture both the volatility evolution and the periodicity feature in the autocorrelation structure exhibited by many nonlinear time series, a Periodic AutoRegressive Stochastic Volatility (PAR-SV ) model is proposed. Some probabilistic properties, namely the strict and second-order periodic stationarity, are provided. Furthermore, conditions for the existence of higher-order moments are established. The autocovariance structure of the squares and higher order powers of the PAR-SV process is studied. Its dynamic properties are shown to be consistent with financial time series empirical findings. Ways in which the model may be estimated are discussed. Finally, a simulation study of the performance of the proposed estimation methods is provided and the PAR-SV is applied to model the spot rates of the euro and US dollar both against the Algerian dinar. The empirical analysis shows that the proposed PAR-SV model can be considered as a viable alternative to the periodic generalized autoregressive conditionally heteroscedastic (PGARCH) model.     

日语格助词“テ”的语义构成——从认知语言学的角度

格助词在日语表达里起到很重要的作用,其中“テ”因其多义性和多样化用法使学习者难以正确把握和运用。先行研究中以分析各个格助词的具体语义和用法居多,用认知理论分析语义构成的较少。间渊洋子用认知语言学原型范畴化理论考察了“テ”的语义扩张过程,指出“テ”的基本语义特征是对动词所表示事态的消极参与和状态的限定。从认知的角度并结合间渊的观点能简化“テ”的语义和用法的传统分类,对其多样性语义构成做出较合理的归纳。     

新型法布里-珀罗(Fabry-Pérot)腔传感结构

应用化学腐蚀和熔接技术对光纤端面进行腐蚀与熔接的方法,构建法布里-珀罗(F-P)腔,根据法布里-珀罗腔的干涉原理设计光纤传感结构,并应用紫外交联法在传感头固定化生物物质RNA,通过观测固定化前后端面SEM图像的对比与F-P腔干涉图谱的相位偏移,得出光纤端面RNA的固定化情况。     

从湘西民歌看衬词在音乐中的表现性

从艺术发声学角度,分析了湘西民歌和以之以题材而创作的优秀歌曲中的衬词。认为衬词既是一声音符号,更是一个情感符号,不同衬词所传递的情感信息存在显著差异。衬词在音乐旋律中出现,可造成色彩的对比,强化音乐层次的立体感;衬词与节奏的配合,装点着起伏的旋律线条,将音乐情景化、生活化。     

用shifrin变换闰径分布的新方法

介绍了用Shifrin变换的反演粒径分布的新方法及相应的测试装置,对几微米以上几种样品粒径的测试实验表明,该法可测得较目前直方图分布更为详细的粒径连续分布,对峰值粒径的测量也有更高的精度,同时仅需要很少的预知信息。     

Likelihood inference for dynamic linear models with Markov switching parameters: on the efficiency of the Kim filter

The Kim filter (KF) approximation is widely used for the likelihood calculation of dynamic linear models with Markov regime-switching parameters. However, despite its popularity, its approximation error has not yet been examined rigorously. Therefore, this study investigates the reliability of the KF approximation for maximum likelihood (ML) and Bayesian estimations. To measure the approximation error, we compare the outcomes of the KF method with those of the auxiliary particle filter (APF). The APF is a numerical method that requires a longer computing time, but its numerical error can be sufficiently minimized by increasing simulation size. According to our extensive simulation and empirical studies, the likelihood values obtained from the KF approximation are practically identical to those of the APF. Furthermore, we show that the KF method is reliable, particularly when regimes are persistent and sample size is small. From the Bayesian perspective, we show that the KF method improves the efficiency of posterior simulation. This study contributes to the literature by providing evidence to justify the use of the KF method in both ML and Bayesian estimations.     

基于PSO和SVM的上市公司财务危机预警模型

提出了一种将经过改进的离散粒子群(PSO)算法和支持向量机(SVM)相结合的算法,以选择最优的指标集并用于财务危机预警。将此算法应用于上市公司的数据,检验模型提前3年的预警效果,最后与常见的主成分分析方法与SVM相结合的模型进行对比,结果证明了PSO-SVM模型的合理性和优越性。