Utilizing a computer-based exposure assessment program, a United States-based chemical company was able to predict which chemicals and tasks presented the greatest probability of exposure in the workplace. The data generated by the model also enabled the company to prioritize these tasks for quantitative exposure monitoring. The assessment program addressed potential chemical exposure to workers in a cost-effective way. This assessment program reduced a facility's cost of complying with the Occupational Safety and Health Administration (OSHA) standard by about 90 percent. Overall, the program reduced the company's cost by about $700,000 when compared to traditional methods used for achieving compliance with these regulations. In addition, by utilizing a computer-based approach, a facility did streamline its chemical exposure assessment process. A comparative evaluation study was conducted in conjunction with a graduate research project. The purpose of the study was to compare the company's qualitative exposure assessment model with several other exposure assessment models. The project compared hazard rankings calculated from three exposure assessment models with actual exposure data for three work scenarios. Overall, the models appeared to be predictive of measured exposures. Therefore, they can be useful tools to help make decisions on which exposures have the highest potential to cause occupational illness to employees and therefore require additional monitoring and follow-up.

Utilizing a computer-based exposure assessment program, a United States-based chemical company was able to predict which chemicals and tasks presented the greatest probability of exposure in the workplace. The data generated by the model also enabled the company to prioritize these tasks for quantitative exposure monitoring.The assessment program addressed potential chemical exposure to workers in a cost-effective way. This assessment program reduced a facility's cost of complying with the Occupational Safety and Health Administration (OSHA) standard by about 90 percent. Overall, the program reduced the company's cost by about $700,000 when compared to traditional methods used for achieving compliance with these regulations. In addition, by utilizing a computer-based approach, a facility did streamline its chemical exposure assessment process.A comparative evaluation study was conducted in conjunction with a graduate research project. The purpose of the study was to compare the company's qualitative exposure assessment model with several other exposure assessment models.The project compared hazard rankings calculated from three exposure assessment models with actual exposure data for three work scenarios. Overall, the models appeared to be predictive of measured exposures. Therefore, they can be useful tools to help make decisions on which exposures have the highest potential to cause occupational illness to employees and therefore require additional monitoring and follow-up. BACKGROUNDAs our workplaces grow more complex, new challenges for industrial hygiene abound. Evaluating chemical hazards to determine the greatest potential to cause harm is dif cult due to the number of chemicals handled in the work environment. Evaluation of these complex situations requires a sound, logical occupational health assessment strategy to focus resources on those work situations with the greatest potential for adverse health effects. (1)

A stellar occultation by the extreme large-perihelion trans-Neptunian object (541132) Leleākūhonua (also known by the provisional designation of 2015 TG387) was predicted by the Lucky Star project and observed with the Research and Education Collaborative Occultation Network on 2018 October 20 UT. A single detection and a nearby nondetection provide constraints for the size and albedo. When a circular profile is assumed, the radius is km, corresponding to a geometric albedo , for an adopted absolute magnitude of H V  = 5.6, typical of other objects in dynamically similar orbits. The occultation also provides a high-precision astrometric constraint.

Dynamic risk and protective factors refer to a collection of psychosocial variables that have been empirically linked to an increased or decreased likelihood of engaging in future criminal behaviour. Monitoring such factors is, therefore, a vital task in the post-incarceration community reintegration process. The current study examined whether weighting could augment the discrimination of the Dynamic Risk Assessment for Offender Re-entry (DRAOR; Serin, 2007Serin, , 2015Serin, , 2017, a promising case management instrument composed of dynamic risk and protective factors, in two samples of general justice involved individuals drawn from New Zealand (n = 3,648) and Iowa (n = 510). Two weighting approaches were investigated across subscales, outcomes, assessment periods, and samples. Although weighting did not significantly improve discrimination in either sample, the present research provides further support of the DRAOR's utility as a risk prediction and case management tool.