Blue Cross/Blue Shield-sponsored prepaid individual practice

The HMO is no longer a fledgling idea in the Blue Cross/Blue Shield System. There are 45 Blue Cross/Blue Shield Plans throughout the country which sponsor a total of 54 HMO programs with about 1,040,000 members. Among those 54 programs are staff models, group models, Individual Practice Associations (IPAs), and other structures. This analysis is confined to the Minnesota affiliate corporation, "HMO Minnesota."     

纤维连接蛋白Ⅲ CS片段的剪接、表达以及与创伤修复的关系

纤维连接蛋白在创伤愈合中具有重要的作用 , 其基因在三个区域进行可变剪接 , 分别命名为 EⅢ A,EⅢ B和Ⅲ CS. 它们的功能仍有待于研究 . 本文就纤维连接蛋白的可变剪接片段Ⅲ cs的生物学活性及其在法医学中的应用展望做一粗浅的探讨 .     

电击伤组织的超微结构观察

目的 观察电流传导路径上器官、组织的超微结构变化。 方法 对 SD大鼠进行实验性低电压电击。结果 触电部位皮肤的上皮细胞胞浆内基质凝固、膜系统断碎;骨骼肌肌小节出现异常收缩带;心肌的变化也较明显,可见局灶性溶解坏死并出现异常收缩带;电流传导路径上外周血管、神经的改变以血管明显,血管内皮细胞胞浆中出现空泡,中膜平滑肌可见溶解坏死,神经纤维仅见部分髓鞘松解。 结论 电击伤组织的超微结构变化可作为诊断电击死组织学变化的补充,为解决无明显皮肤电损伤的电击死案件提供形态学指标。同时也探讨了电击伤超微结构变化的形成机制。     

Y-chromosomal STR haplotypes in Pakistani populations

16 Y-specific STR loci have been analysed in 711 males from 12 populations in Pakistan. Individual loci showed between 4 and 10 alleles, and diversities ranged from 0.07 to 0.77. A total of 527 different haplotypes were found and the haplotype diversity ranged from 0.92 to 0.99 for the different populations. 446 haplotypes occurred in single individuals, and only 19 haplotypes were present in more than three males, but two striking examples of haplotype sharing were found, one involving 13 individuals, and the other 17. The 13 individuals were all Parsis, and 16 of the 17 were Brahuis, providing evidence for population substructuring.     

Sudden infant death and liver phosphoenolpyruvate carboxykinase analysis

In an effort to substantiate the impaired gluconeogenesis-terminal hypoglycemia hypothesis of sudden infant death syndrome (SIDS), 52 infants ranging from 3 weeks to 7 months of age which had been brought to autopsy were studied. The stomach contents, vitreous humor glucose concentrations, hepatic glycogen content and hepatic phospho-enolpyruvate carboxykinase (PEPCK) activity were measured as part of the laboratory component of the postmortem investigation. The stomach contents, vitreous humor glucose concentrations and liver glycogen content were similar in SIDS/and non-SIDS victims. PEPCK activity was, however, significantly lower in SIDS (p < 0.001) victims and in SIDS with other findings (p < 0.01) victims when compared to non-SIDS victims. Despite the fact that SIDS victims had lower hepatic PEPCK activity and hence potentially lower gluconeogenic capacity, terminal hypoglycemia could not be demonstrated in this group as compared to the SIDS with other findings and the non-SIDS infants. The impaired gluconeogenesis-terminal hypoglycemia hypothesis thus could not be substantiated.     

Dynamic Pie: A Strategy for Modeling Trade‐Offs in Compositional Variables over Time

The substance of politics involves competition that evolves over time. While our theories about competition emphasize trade‐offs across multiple categories, most empirical models tend to oversimplify them by considering trade‐offs between one category and everything else. We propose a research strategy for testing theories about trade‐off relationships that shape dynamic compositional variables. This approach improves current methods used to analyze compositional dependent variables by addressing two limitations. First, although scholars have considered compositional dependent variables, they have done so in contexts that were not dynamic. Second, current approaches toward graphical presentations become unwieldy when the compositional dependent variable has more than three categories. We demonstrate the utility of our strategy to expand current theories of party support and political budgeting. In both cases, we can extend trade‐offs across pairs of alternatives (e.g., prime minister versus all other parties or spending on defense versus everything else) to competition across multiple alternatives.     

How to Cautiously Uncover the “Black Box” of Machine Learning Models for Legislative Scholars

Machine learning models, especially ensemble and tree-based approaches, offer great promise to legislative scholars. However, they are heavily underutilized outside of narrow applications to text and networks. We believe this is because they are difficult to interpret: while the models are extremely flexible, they have been criticized as “black box” techniques due to their difficulty in visualizing the effect of predictors on the outcome of interest. In order to make these models more useful for legislative scholars, we introduce a framework integrating machine learning models with traditional parametric approaches. We then review three interpretative plotting strategies that scholars can use to bring a substantive interpretation to their machine learning models. For each, we explain the plotting strategy, when to use it, and how to interpret it. We then put these plots in action by revisiting two recent articles from Legislative Studies Quarterly.