The purpose of this article is to critically review and synthesize the literature on the effects of nonpharmacological cognitive training on dementia symptoms in early-stage Alzheimer's disease (AD) and related dementia. Electronic databases MEDLINE (PubMed), CINAHL, PsycInfo, and the Cochrane Library were searched using the keywords cognition, reality orientation, Alzheimer's disease, psychosocial factors, cognitive therapy, brain plasticity, enriched environments, and memory training. The findings support that cognitive training improves cognition, activities of daily living, and decision making. Interventions are more effective if they are structured and focus on specific known losses related to the AD pathological process and a person's residual ability, or are combined with cognitive-enhancing medications. Nursing implications are also discussed.

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Bureau collects data on job characteristics, dubbed "generic leveling factors." This study demonstrates the usefulness of these data in predicting wage rates. Brooks Pierce is an economist in the Compensation Research and Program Development Group, Bureau of Labor Statistics. The results presented here rely heavily on material produced by Maury Gittleman, an economist in the same office.

An important gap in most empirical studies of establishment-level productivity is the limited information about workers' characteristics and their tasks. Skill-adjusted labor input measures have been shown to be important for aggregate productivity measurement. Moreover, the theoretical literature on differences in production technologies across businesses increasingly emphasizes the task content of production. Our ultimate objective is to open this black box of tasks and skills at the establishment-level by combining establishment-level data on occupations from the Bureau of Labor Statistics (BLS) with a restricted-access establishment-level productivity dataset created by the BLS-Census Bureau Collaborative Micro-productivity Project. We take a first step toward this objective by exploring the conceptual, specification, and measurement issues to be confronted. We provide suggestive empirical analysis of the relationship between within-industry dispersion in productivity and tasks and skills. We find that within-industry productivity dispersion is strongly positively related to within-industry task/skill dispersion.

Data on tool use from O*Net's Tools and Technologies Supplement can, in conjunction with task-based measures, provide a new proxy for measuring and distinguishing general and specific skills at the occupational level. The tools and types of tools used in an occupation generate reasonable proxies for skill that vary across occupations and appear to capture features of occupations that differ from and complement task-based proxies for skill. Wage regressions indicate that job-specific tools, which correspond to particular occupations, are associated with higher pay. Non-specific tools correlate to lower-paying sales, service and administrative occupations. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.1 Gathmann and Schönberg (2010) show that a task-based measure of skills explains a significant proportion of wage growth and Autor and Handel (2013) find that the inclusion of job tasks significantly improves the explanatory power of a wage regression. Autor (2013) and Autor and Handel (2013) provide review of this literature, including numerous studies not discussed here.