The War on Violence: Improving the Response to Domestic Violence in the Military

The Department of Defense has taken steps in recent years to improve outcomes for victims of domestic violence who reside on military installations. In 2000, the Defense Task Force on Domestic Violence was established, a military‐civilian group of experts charged with improving the military's effectiveness in addressing domestic violence in the Armed Forces in a variety of areas including offender accountability, coordination between military and civilian communities, and changing the military climate around domestic violence. This article will provide an overview of the Task Force, its work during the past three years, and its recommendations.     

US Military and Economic Intervention in an International Context of Low-intensity Conflict

Recent major shifts in US military thinking, creating a new low-intensity conflict (LIC) doctrine, have resulted already in significant changes in organization, mission definition, force structure and budgetary allocation. These changes have come about because American leadership recognizes that the process of deindustrialization has produced a vulnerable, highly integrated and interdependent global economic system. This system of economic rationalization is susceptible to anti-western disruptions because of the instability produced by rapid social change, a consequence of the competition from the newly industrialized nations. LIC capability is viewed as a necessary means for dealing with disruptions.     

Teenage suicide in King County, Washington. I. Rates of suicide for 26 years

The population-adjusted rate of teenage suicide in King County, Washington, was reviewed for the 26 years from 1959 to 1984. For the entire period, the rate did not change significantly. An abrupt change did occur during the middle of this period, but, for reasons discussed in the text, this may well represent a change in procedures and philosophy of death certification rather than a real change in rate. Reasons for the apparent discrepancy with national statistics are discussed.     

Spatial variation of refractive index in a pane of float glass.

In the statistical interpretation of forensic glass evidence it is standard practice to make the assumption of homogeneity of the refractive index (RI) of the source glass, or of localized homogeneity. However, the work of Locke and Hayes showed that, for toughened windscreen glass, this assumption might not be true. This work is well cited, but there appears to have been little follow-on published research. Furthermore, the toughening process is something known to affect the refractive index, and is a process that float glass does not undergo. Float glass is a major component of casework in New Zealand and for that reason it would be interesting to know whether the findings of Locke and Hayes apply when dealing with float glass. In this paper we describe an experiment similar to that of Locke and Hayes, systematically examining the variation of RI in a pane of float window glass. It was found that, although there were no systematic differences in refractive index, there were observable differences across the pane.     

A statistical approach to drug sampling: a case study.

In many countries it is left to the discretion of the court to accept or reject conclusions based on sampling procedures as applied to the total drug exhibit. As an alternative to this subjective approach, a statistical basis is presented using binomial and hypergeometric distributions to determine a lower limit for the proportion of units in a population which contains a drug, at a given confidence level. A method for calculating the total weight of a drug present in a population within a given confidence interval is also presented. In the event of no failures (all units sampled contain a drug), a sample size of six or seven units is generally sufficient to state that a proportion of at least 0.70 of the population contains a drug at a confidence level of at least 90%. When failures do occur in the sample, point estimation is used as the basis for selecting the appropriate sample size.