Sanctuary and the Cold War: The US Versus The Sanctuary Movement in Texas and Arizona 1981-1986

In the 1980s, the Reagan Administration launched a campaign against the American Solidarity and sanctuary movements, which were highly critical of US support for right-wing dictatorships in Central America. The US sought to discredit these movements by branding their members criminals. The government used many different tactics, some legitimate and others illegal. None were successful, however, and the government was ultimately forced to leave the movements alone. This thesis examines three different hotspots in the Reagan Administration’s war against these groups. It examines the different tactics employed and analyzes their effectiveness. It also explains why the government was unsuccessful in its prosecution

A global experience‐sampling method study of well‐being during times of crisis: The CoCo project

We present a global experience-sampling method (ESM) study aimed at describing, predicting, and understanding individual differences in well-being during times of crisis such as the COVID-19 pandemic. This international ESM study is a collaborative effort of over 60 interdisciplinary researchers from around the world in the “Coping with Corona” (CoCo) project. The study comprises trait-, state-, and daily-level data of 7490 participants from over 20 countries (total ESM measurements = 207,263; total daily measurements = 73,295) collected between October 2021 and August 2022. We provide a brief overview of the theoretical background and aims of the study, present the applied methods (including a description of the study design, data collection procedures, data cleaning, and final sample), and discuss exemplary research questions to which these data can be applied. We end by inviting collaborations on the CoCo dataset

The stable non-Gaussian asset allocation

We analyze a multistage stochastic asset allocation problem with decision rules. The uncertainty is modeled using economic scenarios with Gaussian and stable Paretian non-Gaussian innovations. The optimal allocations under these alternative hypothesis are compared. If the agent has very low or very high risk aversibility, then the Gaussian and stable non-Gaussian scenarios result in similar allocations. When the risk aversion of the agent is between these two extreme cases, then the two distributional assumptions may result in very different asset allocations. Our calculations suggest that the allocations may be up to 85% different depending on the utility function and the level of risk aversion of the agent

The Stable non-Gaussian Asset Allocation: A Comparison with the Classical Gaussian Approach

We analyze a multistage stochastic asset allocation problem with decision rules. The uncertainty is modeled using economic scenarios with Gaussian and stable Paretian non-Gaussian innovations. The optimal allocations under these alternative hypothesis are compared. If the agent has very low or very high risk aversibility, then the Gaussian and stable non-Gaussian scenarios result in similar allocations. When the risk aversion of the agent is between these two extreme cases, then the two distributional assumptions result in very di�erent asset allocations. Our calculations suggest that the allocations may be up to 85% different depending on the level of risk aversion of the agent

The limit for residual donor hepatic volume in adult to adult right lobe living liver transplantation

9th Meeting of the International-Liver-Transplantation-Society/13th Meeting of the Liver-Intensive-Care-Group-of-Europe -- JUN 18-21, 2003 -- BARCELONA, SPAINWOS: 000183252300274Int Liver Transplantat Soc, Liver Intensive Care Grp Europ

Budd-Chiari Syndrome in an afibrinogenemic patient: A paradoxical complication

WOS: 000235608000025PubMed ID: 1653468