Modelling of a thermomechanically coupled forming process based on functional outputs from a finite element analysis and from experimental measurements

In this paper, measurements from experiments and results of a finite element analysis (FEA) are combined in order to compute accurate empirical models for the temperature distribution before a thermomechanically coupled forming process. To accomplish this, Design and Analysis of Computer Experiments (DACE) is used to separately compute models for the measurements and the functional output of the FEA. Based on a hierarchical approach, a combined model of the process is computed. In this combined modelling approach, the model for the FEA is corrected by taking into account the systematic deviations from the experimental measurements. The large number of observations based on the functional output hinders the direct computation of the DACE models due to the internal inversion of the correlation matrix. Thus, different techniques for identifying a relevant subset of the observations are proposed. The application of the resulting procedure is presented, and a statistical validation of the empirical models is performed.     

Medical care and regional mortality differences within the countries of the European community

This paper addresses the question whether regional mortality differences within developed countries reflect differences in characteristics of medical care service. It adds two new elements to previous studies on this subject: it concentrates on selected ‘avoidable’ causes of death, and it makes parallel analyses for ten EC countries. The results show that levels of medical care supply contribute little to the explanation of regional differences in mortality from the selected conditions. It is concluded that if regional mortality differences are related to health care, factors other than the level of supply are probably involved.     

UNINSURED COUNTERCYCLICAL RISK: AN AGGREGATION RESULT AND APPLICATION TO OPTIMAL MONETARY POLICY

We consider an incomplete markets economy with capital accumulation and endogenous labor supply. Individuals face countercyclical idiosyncratic labor and asset risk. We derive conditions under which the aggregate allocations and price system can be found by solving a representative agent problem. This result is applied to analyze the properties of an optimal monetary policy in a New Keynesian economy with uninsured countercyclical individual risk. The optimal monetary policy that emerges from our incomplete markets economy is the same as the optimal monetary policy in a representative agent model with preference shocks. When price rigidity is the only friction the optimal monetary policy calls for stabilizing the inflation rate at zero.     

Social investment agenda setting: A personal note

This article reconstructs how, under the umbrella of the Europea Union (EU), discreet opportunities for EU social policy agenda setting opened for academic expertise from the late 1990s to the 2020s. This began with the Dutch presidency of the EU in the first half of 1997, endorsing the notion of ‘social policy as a productive factor’, followed by the 2000 Lisbon strategy for Growth and Social Cohesion in the open economy. The social investment landmark publication was Why We Need a New Welfare State, written by Gøsta Esping-Andersen et al., for the Belgian presidency of 2001. Ultimately, cumulative academic insights and feedback from country-specific reform experiences found their synthesis in the Social Investment Package in 2013. EU political codification of social investment took effect with the adoption of the European Pillar of Social Rights in December 2017. The paper concludes on the future for social investment with some personal reflections as an engaged scholar.     

Practice and Outcomes of Multidisciplinary Research for Environmental Sustainability

Since about 1990, when sustainability became a key concept for a wide range of scientific disciplines, the need for multidisciplinary collaboration has increased. We present five illustrative cases from the long-standing environmental research work at the University of Groningen. The projects described are about hazardous materials risk, odor annoyance, energy scenario evaluation, climate decision analysis, and household consumption, respectively. The various case discussions emphasize experiences in research conceptualization, project design and execution, main findings, policy advice and surplus value, and difficulties met. Conclusions and recommendations are presented about the practice of multidisciplinary research. Finally, some challenges for research and development about environmental sustainability are discussed.     

The use of the coefficient of variation in detecting sincerity of effort: a meta-analysis

The coefficient of variation (CV) is used to determine sincerity of effort of strength measurements. However, there is a controversy in the literature concerning its validity and effectiveness. We used a meta-analytic approach and calculated the effect size between maximal and submaximal efforts for the CV of grip, elbow flexion and knee extension. We summarized findings concerning stability, sensitivity and specificity of the CV. We found large effect sizes (d > or = 0.8) for all comparisons indicating that submaximal efforts were more variable than maximal efforts. We also found large error rates and low stability of the CV. The error rates and stability values of the CV are unacceptable from both a clinical and a medico-legal standpoint. Therefore, the use of the CV for assessing sincerity of effort needs to be questioned.