Macro-economic determinants of penal policy: Estimating the unemployment and inflation influences on imprisonment rate changes in the United States, 1948–1985

Conflict theory proposes that systemic economic distress generates problem populations which require control via palliative and coercive means. Most previous research has concentrated on examining the unemployment-imprisonment relationship. A review of the literature suggests that other structural conditions that generate marginalization as well as the state's placative control must be considered in order to understand the linkage between economic-fiscal forces and penal policy. Using annual time-series data for the period 1948–1985, the present paper examines the extent to which changes in inprisonment rates reflect (a) governmental attempts to offset the threat of unemployment and inflation and (b) fiscal limitations placed by state expenditures on placative controls. The results indicate support for the conflict thesis, with inflation rates and annual fluctuations in black and white male unemployment rates exerting an independent positive effect upon imprisonment-rate changes, after controlling for variations in violent crime rates, prison capacity, and age structure. Possible reasons for the lack of evidence regarding trade-offs between state's placative and coercive policies are discussed and suggestions for further research are noted. *** DIRECT SUPPORT *** AW502010 00003     

Making government efficient: How much waste can be cut from public programs?

The public administrator should be concerned with waste due to implementing programs inefficiently, not with waste due to implementing the wrong programs. Based upon a synthesis of efficiency studies using frontier analysis, the mean inefficiency of public programs is estimated at five percent. Efficiency gains beyond this level ordinarily require advances in technology, or changes in what constitutes best practice. While greater efficiency is a desirable goal, efficiency gains achieved through forced spending reductions need to be weighed against possible concomitant reductions in a program's quality of service, benefit to society, and cost-effectiveness. An efficiency analysis of an emergency medical service program illustrates the sort of information required to identify improvements in efficiency within this broader context.     

Forensic Identification of Seal Oils Using Lipid Profiles and Statistical Models

Seal blubber oils are used as a source of omega‐3 polyunsaturated fatty acids in Canada but prohibited in the United States and (FA) European Union. Thus, a reliable method is needed to identify oils originating from seals versus fish. Two lipid profiling methods, fatty acid analysis using gas chromatography and triacylglycerol (TAG) analysis using liquid chromatography and mass spectrometry, were applied with statistical models to discriminate commercial oils and blubber samples harvested from marine fish and seals. Significant differences were observed among FA profiles, and seal samples differed from each of the fish oils (p ≤ 0.001). FA and TAG profiles were used to discriminate sample groups using a random forest classifier; all samples were classified correctly as seals versus fish using both methods. We propose a two‐step method for the accurate identification of seal oils, with preliminary identification based on FA profile analysis and confirmation with TAG profiles.     

Family influences,school behaviors,and risk for the later development of an eating disorder

Interviews were conducted with parents of 136 female and 45 male adolescents categorized into risk groups for the later development of an eating disorder. The family and school concomitants of risk status in females were demonstrated to be different from that in males. Risk group female adolescents rated family cohesion, parent-adolescent communication processes, and overall family satisfaction more negatively than the comparison group. Mothers of moderate risk group females reported lower family cohesion than the comparison group; there were no group differences for adolescent females in fathers' ratings of family measures. However, no group differences were found on any of the family measures between male risk and comparison males. For both females and males, there were no significant group differences in family history of eating and mood disorders, or alcohol dependence. Teacher ratings indicated relatively greater internalizing tendencies in the high-risk female group.This investigation was supported by NICHD Grant Number 1R01-HD24700 awarded to Gloria R. Leon.Received Ph.D. from University at Maryla. Research interests include precursors of eating disorders and stress and coping in extreme environments. To whom correspondence should be addressed.Received M.A. from San Diego State University. Research interests include precursors of eating disorders, substance abuse, and personality.Received Ph.D. from Stanford University. Research interests include psychosocial aspects of health promotion and disease prevention.Received B.A. from University of Maine. Research interests life span development and family issues.     

Evaluation of the Simultaneous Analysis of Organic and Inorganic Gunshot Residues Within a Large Population Data Set Using Electrochemical Sensors*,†

The increasing demand for rapid methods to identify both inorganic and organic gunshot residues (IGSR and OGSR) makes electrochemical methods, an attractive screening tool to modernize current practice. Our research group has previously demonstrated that electrochemical screening of GSR samples delivers a simple, inexpensive, and sensitive analytical solution that is capable of detecting IGSR and OGSR in less than 10 min per sample. In this study, we expand our previous work by increasing the number of GSR markers and applying machine learning classifiers to the interpretation of a larger population data set. Utilizing bare screen-printed carbon electrodes, the detection and resolution of seven markers (IGSR; lead, antimony, and copper, and OGSR; nitroglycerin, 2,4-dinitrotoluene, diphenylamine, and ethyl centralite) was achieved with limits of detection (LODs) below 1 µg/mL. A large population data set was obtained from 395 authentic shooter samples and 350 background samples. Various statistical methods and machine learning algorithms, including critical thresholds (CT), naïve Bayes (NB), logistic regression (LR), and neural networks (NN), were utilized to calculate the performance and error rates. Neural networks proved to be the best predictor when assessing the dichotomous question of detection of GSR on the hands of shooter versus nonshooter groups. Accuracies for the studied population were 81.8 % (CT), 88.1% (NB), 94.7% (LR), and 95.4% (NN), respectively. The ability to detect both IGSR and OGSR simultaneously provides a selective testing platform for gunshot residues that can provide a powerful field-testing technique and assist with decisions in case management.     

Biochemical changes of the synovial liquid in corpses with regard to the cause of death. 1: Calcium, inorganic phosphorus, glucose, cholesterol, urea nitrogen, uric acid, proteins, and albumin

We present in this work a study about biochemical changes of the synovial liquid in 100 corpses with regard to the cause of death. The results obtained in the different groups of causes of death show that the biochemical parameters were modified postmortem although we think that this modification is related more directly to the duration of the pathological process that leads to death than with the nature of the process itself.