The mortality pattern of women who began employment as luminizers in the radium dial industry before 1930 was followed through 1990. Hazard models with time-dependent covariates were used on mortality data either organized by individual death times or grouped into cross-classified person-year tables. These models were used to quantify trends in mortality associated with either death from or diagnosis of bone sarcoma or head carcinoma. The accumulation of skeletal doses from 226Ra and 225Ra was an important predictor of the risk of death from bone sarcoma. Women exposed to 226Ra at ages associated with active bone growth were at greater risk of bone sarcoma than women receiving even larger exposures at an age when their skeletons would have been fully developed. Exposure to only 226Ra was found to be an important predictor of risk for carcinoma of the mastoid air cells and paranasal sinuses. For the cranial sites, where adult dimensions are attained early in life, an effect of age at exposure could not be detected.

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WASTE-MGMT is a computational model developed to provide waste loads, profiles, and emissions for the U.S. Department of Energy's Waste Management Programmatic Environmental Impact Statement (WM PEIS). The model was developed to account for the considerable variety of waste types and processing alternatives evaluated for the WM PEIS. The model is table-driven, with three types of fundamental waste management data defining the input: (1) waste inventories and characteristics; (2) treatment, storage, and disposal facility characteristics; and (3) alternative definition. The primary output of the model consists of tables of waste loads and contaminant profiles at facilities, as well as contaminant air releases for each treatment and storage facility at each site for each waste stream. The model is implemented in Microsoft* FoxPro@ for MS-DOS@ version 2.5 and requires a microcomputer with at least a 386 processor and a minimum 6 Mbytes of memory and 10 Mbytes of disk space for temporary storage.