The ‘party‐state’ in Greece and the fall of Papandreou

Revelations of corruption and of maladministration have forced a re‐examination of some of the basic characteristics of the Greek party‐state and party system. The purpose of this article is to examine how the controversies ‐ ‘scandals’ ‐ arose, and to assess their consequences for political development in Greece in the light of the June 1989 national elections. The elections may prove critical for the evolution of the State and the party system.     

Saliva identification in forensic samples by automated microextraction and intact mass analysis of statherin

The enzyme α-amylase has long been a commonly targeted protein in serological tests for saliva. While being especially abundant in saliva, α-amylase is detectable in vaginal secretions, sweat, fecal matter, breast milk and other matrices. As a result, assays for α-amylase only provide a presumptive indication of saliva. The availability of mass spectrometry-based tools for the detection of less abundant, but more specific, protein targets (e.g., human statherin) has enabled the development of high confidence assays for human saliva. Sample throughput, however, has traditionally been low due to multi-step workflows for protein extraction, quantitation, enzymatic digestion, solid phase cleanup, and nano-/capillary-based chromatography. Here, we present two novel “direct” single-stage extraction strategies for sample preparation. These feature immunoaffinity purification and reversed-phase solid-phase microextraction in conjunction with intact mass analysis of human statherin for saliva identification. Mass analysis was performed on the Thermo Scientific Q-Exactive™ Orbitrap mass spectrometer with a 10-min analytical run time. Data analysis was performed using Byos^® from Protein Metrics. Two sample sets were analyzed with a population of 20 individuals to evaluate detection reliability. A series of casework-type samples were then assayed to evaluate performance in an authentic forensic context. Statherin was confidently identified in 92% and 71% of samples extracted using the immunoaffinity purification and solid phase microextraction approaches, respectively. Overall, immunoaffinity purification outperformed the solid phase microextraction, especially with complex mixtures. In toto, robotic extraction and intact mass spectrometry enable the reliable identification of trace human saliva in a variety of sample types.     

The political economy of economic regionalism in northeast asia: A unique and dynamic pattern

Since the mid-1980s there has been a gradual but steady rise of economic regionalism in Northeast Asia. However, the economic regionalism in Northeast Asia reveals its own dynamics and is presented in a form that is different from those in Western Europe and North America. Characterized by a “flying geese pattern” that has been developing in the region over time, the regionalism is soft and open; that is, it is uninstitutionalized and less discriminatory against other economies. This ongoing regionalism in Northeast Asia will inevitably bring profound political and economic implications for the region and beyond. Kevin G. Cai earned a Ph.D. in political science at Queen's University in Canada in 1996 Currently he is teaching at Kyonggi University in South Korea. His major research interests include the political economy of economic regionalism in the world economy, the regionalism in the Asia-Pacific area, APEC, China's integration into the regional and global economy, and various political, economic and security issues in the Asia-Pacific region. The author would like to thank Michael K. Hawes for his valuable comments on the early draft of this article.     

Volunteer labor sorting across industries

Volunteer labor is generally analyzed as a homogeneous activity, implying that the marginal effects of tax changes and demographic shifts are equal across industries and forms of volunteering. Here the homogeneity assumption is tested by estimating and comparing volunteer labor supply functions in three sectors that rely on volunteer labor—health, education, and religious organizations. Differences in the marginal volunteer labor supply effects are associated with personal demographics, household composition, and tax status. These differences are significant statistically as well as for their policy implications. The effects on volunteering to each sector are predicted for changes in the age, education, and marital status distributions of the population, as well as for changes in income tax rates, itemization status, and income. © 2002 by the Association for Public Policy Analysis and Management.     

Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses

Many situations exist in which a latent construct has both ordinaland continuous indicators. This presents a problem for the appliedresearcher because standard measurement models are not designedto accommodate mixed ordinal and continuous data. I addressthis problem by formulating a measurement model that is appropriatefor such mixed multivariate responses. This model unifies standardnormal theory factor analysis and item response theory modelsfor ordinal data. I detail a Markov chain Monte Carlo algorithmfor model fitting. I apply the model to cross-national dataon political-economic risk and find that the model works well.Software for fitting this model is publicly available in theMCMCpack (Martin and Quinn 2004, "MCMCpack 0.4–8") R package.