This article builds on the theoretical debate over age, period, and cohort effects (APC) and explores how these factors might affect Taiwan's partisan stability. We conducted a two-level multinomial logit random effects model using survey data from 1991 to 2020 to disentangle the APC effects. Our findings challenge Converse's core assumption that partisanship strengthens with age. As a new democracy, Taiwan's party affiliations remain fluid, and we do find evidence of period effects, particularly associated with cross-Strait crises that favor the DPP. However, generational replacement is the most significant factor driving party identity changes in Taiwan. With generational replacement, the Kuomintang is burdened by the image of a century-old party. The Democratic Progressive Party (DPP) had previously fared better among young cohorts but has recently lost its support from millennials. The youngest generation increasingly refuses to associate with the traditional political parties. It seems reasonable to expect that the new generational forces will restructure the Blue–Green cleavage and expand the ideological diversity of Taiwan's party system.

The Open Access movement has gathered significant momentum over the last couple of years. This has been instigated largely by cOAlition S and those funders which support its aims. Is ‘Read and Publish’ the way forward? Will it work for all publishers? All authors? All subscribers? All readers? This article looks at the history of OA and updates a similar piece from 2013. A detailed glossary of terms is given at the end of the article.

The Age-Period-Cohort-Improvement (APCI) model is a new addition to the canon of mortality forecasting models. It was introduced by Continuous Mortality Investigation as a means of parameterising a deterministic targeting model for forecasting, but this paper shows how it can be implemented as a fully stochastic model. We demonstrate a number of interesting features about the APCI model, including which parameters to smooth and how much better the model fits to the data compared to some other, related models. However, this better fit also sometimes results in higher value-at-risk (VaR)-style capital requirements for insurers, and we explore why this is by looking at the density of the VaR simulations.

The interaction between Heligmosomoides polygyrus superantigen and human peripheral blood mononuclear cells (PBMC) was evaluated. Parasite homogenate and excretory–secretory proteins from both L4 larvae and adult worms were examined for their ability to stimulate, and be presented by, human cells. Proliferation assays using PBMC from 3 human volunteers indicated that naïve cells were stimulated by H. polygyrus superantigen. Antigen presenting cells (APC) from a number of human donors were able to successfully present H. polygyrus superantigen to mouse T cell hybridomas. However, this ability varied according to the source of the superantigen, and human APC, in contrast to APC from mice, could only present the superantigen contained within parasite homogenate. Also, in contrast to the situation with mice, human APC could present H. polygyrus superantigen to stimulate mouse T cells expressing not only TCR Vβ8.1, but also TCR Vβ7. Therefore, H. polygyrus superantigen can successfully stimulate, and be presented by, human PBMC of different MHC haplotypes, although the cellular mechanisms appear to be different from those observed in the mouse.