Autonomous and/or institutionalized social movements? Conceptual clarification and illustrative cases

Case studies of urban squatting in the United States and the Netherlands, and the fight against sexual violence in Spain and in the Netherlands form the empirical basis of an analysis of the features and development of autonomous and institutionalized social movements, and the in-teraction between them. Autonomous and institutionalized social movements have different strengths that they derive from characteristics that are not compatible. Nevertheless, a dynam-ic is possible that combines the strengths of both models. It provides synergy between self-contained autonomous and institutionalized movements, without imposing trade-offs. Politi-cal opportunity theory suggests that such a ―dual-movement structure‖ is most relevant when the political system is selectively open. Interaction between the movements is conditioned by the mainstreaming potential of the issue or interest that is at stake. Even when relations are tense, movements can create opportunities for each other. Autono-mous movements are able to retain a repertoire of disruptive actions when lobbying is the more popular option. An autonomous movement can benefit from the legitimacy and support-ing network engendered by an institutionalized movement, pioneering work done by an au-tonomous movement can inspire an institutionalized counterpart. Autonomous movements can provide a critical voice when co-optation occurs

A generalized dynamic conditional correlation model for many asset returns

In this paper we put forward a generalization of the Dynamic Conditional Correlation (DCC) Model of Engle (2002). Our model allows for asset-specific correlation sensitivities, which is useful in particular if one aims to summarize a large number of asset returns. The resultant GDCC model is considered for daily data on 18 German stock returns, which are all included in the DAX, and for 25 UK stock returns in the FTSE. We find convincing evidence that the GDCC model improves on the DCC model and also on the CCC model of Bollerslev (1990)

PRISMA database machine: A distributed, main-memory approach

The PRISMA project is a large-scale research effort in the design and implementation of a highly parallel machine for data and knowledge processing. The PRISMA database machine is a distributed, main-memory database management system implemented in an object-oriented language that runs on top of a multi-computer system. A prototype that is envisioned consists of 64 processing elements

Learning from subsistence marketplaces and beyond: A cross-sectoral comparison in Benin

Subsistence Marketplaces publishes studies that study consumers, entrepreneurs, and marketplaces from a broad range of low income contexts in their own right, transcending the boundaries between sectors and disciplines to derive practically meaningful implications. This paper contributes to accomplishing the mission of the new journal by contextualizing market learning theory to subsistence marketplaces. More specifically, the study links two modes of market learning (exploration and exploitation) with producers’ livelihood performance. It hypothesizes that within subsistence marketplaces, producers benefit the most from exploration but to seize a market opportunity beyond the subsistence context, BoP producers should strengthen their exploitative learning processes. We use producer survey data from 389 producers from shrimp fishing and shea butter production, two sectors selected by the Beninese Government for their development potential. The sectors vary systematically in their level of high-income market integration. We employ item-response theory to develop measures that allow to formally compare the two sectors while paying respect to their contextual differences. The results show partial support and imply that development policies and corporate procurement should support BoP producers in strengthening the appropriate learning processes

Infiltration in porous media with dynamic capillary pressure : travelling waves

We consider a model for non-static groundwater flow where the saturation-pressure relation is extended by a dynamic term. This approach together with a convective term due to gravity, results in a pseudo-parabolic Burgers type equation. We give a rigorous study of global travelling wave solutions, with emphasis on the role played by the dynamic term and the appearance of fronts

Infiltration in porous media with dynamic capillary pressure: travelling waves

We consider a model for non-static groundwater flow where the saturation-pressure relation is extended by a dynamic term. This approach together with a convective term due to gravity, results in a pseudo-parabolic Burgers type equation. We give a rigorous study of global travelling wave solutions, with emphasis on the role played by the dynamic term and the appearance of fronts

Semi-Parametric Modelling of Correlation Dynamics

In this paper we develop a new semi-parametric model for conditional correlations, which combines parametric univariate GARCH-type specifications for the individual conditional volatilities with nonparametric kernel regression for the conditional correlations. This approach not only avoids the proliferation of parameters as the number of assets becomes large, which typically happens in conventional multivariate conditional volatility models, but also the rigid structure imposed by more parsimonious models, such as the dynamic conditional correlation model. An empirical application to the 30 Dow Jones stocks demonstrates that the model is able to capture interesting asymmetries in correlations and that it is competitive with standard parametric models in terms of constructing minimum variance portfolios and minimum tracking error portfolios

The interplay between regulatory focus and temporal distance in the health context

Objectives: This study identifies how the interaction between temporal distance, regulatory focus, and framing of health outcomes affects individuals' intention to adopt a personalized nutrition service. Design: A 2 (temporal distance: immediate health outcomes vs. delayed health outcomes) × 2 (regulatory focus: prevention vs. promotion) × 2 (health outcome framing: illness prevention vs. health promotion) full-factorial between-subjects design. Methods: In two experiments with samples of 236 and 242 students, regulatory focus was manipulated by asking participants to describe which academic outcomes they want to either achieve or prevent and how they aim to do this. Temporal distance and health outcome framing were manipulated by modifying descriptions of personalized nutrition services. To study the process through which temporal distance, regulatory focus, and health outcome framing affect adoption intention, measures of perceived privacy risk and perceived personalization benefit were included as mediators. Results: The interaction between temporal distance and regulatory focus had a significant effect on adoption intention, perceived privacy risk, and perceived personalization benefit. For prevention-focused individuals' adoption intention was higher, perceived personalization benefit was higher, and perceived privacy risk was lower when health outcomes were immediate instead of delayed. These effects were not significant for promotion-focused individuals. Health outcome framing affected the interaction between temporal distance and regulatory focus, but only in Study 1. Only perceived personalization benefit served as a mediator. Conclusion: Tailoring temporal distance to individuals' regulatory focus increases adoption intention for personalized nutrition advice. Statement of contribution: What is already known on this subject? Intention to adopt dietary recommendations results from a cognitive decision-making process. Regulatory focus and temporal distance are relevant for the adoption of dietary recommendations. Temporal distance and regulatory focus are interrelated. What does this study add? The interaction between temporal distance and regulatory focus affects adoption intention. Interaction between temporal distance and regulatory focus moderates the cognitive process that drives adoption.</p