Mental Health Problems and Aging: A Short Quiz.

The mental health needs of older adults remain largely unmet. This gap is due, in part, to a lack of adequately trained professionals and paraprofessionals. The sixteen-item quiz presented in this article has two purposes: 1) to present an overview of salient empirical and theoretical issues in the area of mental health and aging, and 2) to promote discussion of these topics. Each item is documented with supporting literature. In addition, average scores, item difficulties, and item-to-total correlations are presented for two groups of undergraduate students.

The Mental Health System and Older Adults in the 1990s

Trends in mental health services for older adults during the past decade were used to predict salient issues for the current decade. These include overreliance on inpatient treatment, increased use of general hospitals as treatment sites, inadequate integration with the nursing-home industry, and insufficient mental health referrals from general medical providers. In the decade ahead, the mental health needs of older adults are unlikely to be an identified focus; rather the issues will overlap with other priorities (e.g., biomedical research on brain functioning, alternative treatment programs for the chronically mentally ill, and containing health care costs). Advocates for the elderly will be successful to the extent that they cast aging services within the context of these other concerns.

A Framework for the Automation of Discrete-Event Simulation Experiments

Simulation is an important resource for researchers in diverse fields. However, many researchers have found flaws in the methodology of published simulation studies and have described the state of the simulation community as being in a crisis of credibility. This work describes the project of the Simulation Automation Framework for Experiments (SAFE), which addresses the issues that undermine credibility by automating the workflow in the execution of simulation studies. Automation reduces the number of opportunities for users to introduce error in the scientific process thereby improvingthe credibility of the final results. Automation also eases the job of simulation users and allows them to focus on the design of models and the analysis of results rather than on the complexities of the workflow.

The Design of XML-Based Model and Experiment Description Languages for Network Simulation

The Simulation Automation Framework for Experiments (SAFE) is a project created to raise the level of abstraction in network simulation tools and thereby address issues that undermine credibility. SAFE incorporates best practices in network simulationto automate the experimental process and to guide users in the development of sound scientific studies using the popular ns-3 network simulator. My contributions to the SAFE project: the design of two XML-based languages called NEDL (ns-3 Experiment Description Language) and NSTL (ns-3 Script Templating Language), which facilitate the description of experiments and network simulationmodels, respectively. The languages provide a foundation for the construction of better interfaces between the user and the ns-3 simulator. They also provide input to a mechanism which automates the execution of network simulation experiments. Additionally,this thesis demonstrates that one can develop tools to generate ns-3 scripts in Python or C++ automatically from NSTL model descriptions.