On Integer Programming Approaches for Morphological Template Decomposition Problems in Computer Vision

In morphological image processing and analysis, a template or structuringelement is applied to an image. Often savings in computation time and abetter fit to the given computer architecture can be achieved by using thetechnique of template decomposition. Researchers have written a multitude ofpapers on finding such decompositions for special classes of templates.Justifying recent integer programming approaches to the morphologicaltemplate decomposition problem in its general form, this paper proves theNP-completeness of this problem.     

TMR: An Automated System for Managing Revenue

Abstract

The Total Medical Record (TMR) system used by the Division of University Health Services at Duke University is an integrated medical and management information system. One module supports the financial needs of the division. To facilitate managerial performance, TMR automatically prints insurance claims, refund statements, revenue summary data, service utilization, itemized visit statements, monthly patient bills, dunning letters, and has a host of unique features that aid management with controlling the private fees generated by the University Health Services. In addition, the servicing of prepaid programs is accommodated, and the splitting of charges between prepaid and fee-for-service programs occurs automatically.     

The Influence of Communism on Career Development and Education in Romania

Contemporary career counseling research has awakened career counselors to the reality that their theories of development, assessment, and intervention have been constructed within the capitalistic structure of the late‐20th‐century labor force in the United States. The social transition model of career counseling outlined by M. Pope (2000) has identified changes in developmental theory, assessment techniques, and intervention strategies, reflecting changes in U.S. culture in the new millennium. With the career counselor's focus on enhancing multicultural awareness, cultural sensitivity, and globalization, this project presents the societal forces within a Communist environment that influenced the career development process, illustrated by a case history.     

In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?

It is widely known that significant in-sample evidence of predictability does not guarantee significant out-of-sample predictability. This is often interpreted as an indication that in-sample evidence is likely to be spurious and should be discounted. In this paper, we question this interpretation. Our analysis shows that neither data mining nor dynamic misspecification of the model under the null nor unmodelled structural change under the null are plausible explanations of the observed tendency of in-sample tests to reject the no-predictability null more often than out-of-sample tests. We provide an alternative explanation based on the higher power of in-sample tests of predictability in many situations. We conclude that results of in-sample tests of predictability will typically be more credible than results of out-of-sample tests.     

Confidence intervals for impulse responses under departures from normality

Monte Carlo evidence shows that in structural VAR models with fat-tailed or skewed innovations the coverage accuracy of impulse response confidence intervals may deterorate substantially compared to the same model with Gaussian innovations. Empirical evidance suggests that such departures from normality are quite plausible for economic time series. The simulation results suggest that applied researchers are best off using nonparametric bootstrap intervals for impulse responses, regardless of whether or not there is evidence of fat tails or skewness in the error distribution. Allowing for departures from normality is shown to considerably weaken the evidence of the delayed overshooting puzzle in Eichenbaum and Evans (1995).     

An Expert-Based Framework for Probabilistic National Population Projections: The Example of Austria

The traditional way of dealing with uncertainty in population projections through high and low variants is unsatisfactory because it remains unclear what range of uncertainty these alternative paths are assumed to cover. But probabilistic approaches have not yet found their way into official population projections. This paper proposes an expert-based probabilistic approach that seems to meet important criteria for successful application to national and international projections: 1) it provides significant advantages to current practice, 2) it presents an evolution of current practice rather than a discontinuity, 3) it is scientifically sound, and 4) it is applicable to all countries.In a recent Nature article (Lutz et al., 1997) this method was applied to 13 world regions. This paper discusses the applicability to national projections by directly taking the alternative assumptions defined by the Austrian Statistical Office. Sensitivity analyses that resolve some methodological questions about the approach are also presented.     

Die Anfechtung gemeinschaftlicher Testamente und erbvertraglicher Verfügungen zugunsten eines nichtehelichen Partners des überlebenden Ehegatten

German law (§ 2079 of the Civil Code) provides for the rescission of a generally binding joint will or contract of inheritance if a surviving spouse has remarried. The law assumes that the spouse has been mistaken in the motivation for making the will. If the surviving spouse has not remarried, but cohabited with a new partner, the rescission may similarly be effected by applying § 2078 par. 2 of the Civil Code. The live-in partner will benefit from the rescission if the surviving spouse has named him or her as the successor of the deceased spouse. He or she may indeed have a right of rescission even if the partner has died without rescinding the joint will.     

Comparing relative effects of education and economic resources on infant mortality in developing countries

Research on the social determinants of health has often considered education and economic resources as separate indicators of socioeconomic status. From a policy perspective, however, it is important to understand the relative strength of the effect of these social factors on health outcomes, particularly in developing countries. It is also important to examine not only the impact of education and economic resources of individuals, but also whether community and country levels of these factors affect health outcomes. This analysis uses multilevel regression models to assess the relative effects of education and economic resources on infant mortality at the family, community, and country level using data from demographic and Health Surveys in 43 low-and lower-middle-income countries. We find strong effects for both per capita gross national income and completed secondary education at the country level, but a greater impact of education within families and communities.     

Factors Associated with the Finnish Fertility Decline Since 1776

The analysis of annual age-specific fertility rates in Finland over more than 200 years reveals the existence of a significant early fertility decline at the end of the eighteenth century preceding the secular decline that started around 1910. A reconstruction of age-specific proportions married by a simulation model based on Coale's marriage model indicates that the mean age at marriage increased and the proportion ever-marrying decreased substantially during the period of the early fertility decline. A modification of the index of family limitation applied under certain assumptions to overall fertility rates also indicates that fertility was essentially natural until 1910. Cross-lagged correlation analysis shows that infant mortality does not influence subsequent fertility in the pre-modern period. Finally, a number of socio-economic indicators are related to fertility, and conclusions are drawn from the Finnish case about several hypotheses in the field of demographic transition.