The preparation of nitrides of chromium has been studied in detail. Oxygen free samples of Cr1.000Nx, x ranging from 0.997 to 0.980, have been prepared by equilibrating at temperatures from 850 to 1048 °C in one atmosphere pressure of nitrogen. Results of the temperature dependences of expansivity, lattice parameters, magnetic susceptibility and electrical resistivity of CrN of various compositions are reported. The antiferromagnetic → paramagnetic transformation in CrN exhibits temperature hysteresis and is shown to be a transformation of the first kind. The transformation temperature of Cr1.000N0.997 is 286 °K.

More than 2 million older Americans suffer from some form of depression. Yet late-life depression is often undiagnosed or underdiagnosed. The aim of this study was to explore the reasons for the observed differences in the level of depressive symptoms between older African Americans, Hispanics, and Whites. The data are from Wave 1 of the Asset and Health Dynamics Among the Oldest Old survey administered during 1993-1994. Ordinary least-squares regression results indicate that language acculturation, the number of years of education, and the number of years of U.S. residency are significant factors that help to explain differences in self-reported levels of depressive symptoms among this older population. In general, those who are men, are married, have more education, and are in better health have lower levels of depressive symptoms.

Findings confirm pilot study results and are theoretically consistent with the self-efficacy enhancing nature of vicarious experience described by Bandura in self-efficacy theory.

Objective: To forecast the number of patients who will present each month at the emergency department of a hospital in regional Victoria. Methods:The data on which the forecasts are based are the number of presentations in the emergency department for each month from 2000 to 2005. The statistical forecasting methods used are exponential smoothing and Box-Jenkins methods as implemented in the software package SPSS version 14.0 (SPSS Inc, Chicago, Ill, USA). Results:For the particular time series, of the available models, a simple seasonal exponential smoothing model provides optimal forecasting performance. Forecasts for the first five months in 2006 compare well with the observed attendance data. Conclusions:Time series analysis is shown to provide a useful, readily available tool for predicting emergency department demand. The approach and lessons from this experience may assist other hospitals and emergency departments to conduct THE ABILITY TO PREDICT the demand for attendance at the emergency department (ED) of a hospital is valuable -at a micro level for planning rosters for staff in ED, and at a macro level for financial and strategic planning for the hospital. Also, ED attendances are indicators for many aspects of health care in the community, and hence, such predictions may be useful for regional health care planning.There are many factors that will influence the attendance rate at an ED. Indeed, in England, Milner et al found "startling" variation in ED presentation patterns in 190 health districts. 1 Farmer and Emami 2 also noted regional variation in demand for health services in England and the What does this study add?This study develops a model for forecasting the number of presentations each month at the emergency department of a hospital in regional Victoria. The forecasts provided by the model are shown to compare very well with the actual outcomes. The study demonstrates how time series analysis can be used for forecasting, at least in the short term, the demand for emergency services in a hospital. What are the implications for practice?Every hospital is unique. However, the forecasting methods and approach in this paper could be applied in other hospitals to improve resource allocation and strategic planning.