Characterization of surface organic components of human hair by on-line supercritical fluid extraction-gas chromatography/mass spectrometry: a feasibility study and comparison with human identification using mitochondrial DNA sequences

This paper discusses results of a supercritical fluid extraction-gas chromatography/mass spectrometry (SFE-GC/MS) study of small samples ( 100 microg to 1 mg) of human scalp hair. The method offers a number of benefits including greater sensitivity than liquid extraction methods because the entire extractable mass is transferred to the analytical system, compared with only a few percent from a conventional liquid extraction/injection. The project's goals were to determine if SFE-GC/MS analyses of the surface-extractable components of an individual's hair yield consistent chemical profiles and to investigate if the profiles are sufficiently different to distinguish them from those of other individuals. In addition, the mtDNA sequences from ten of the same individuals used in the SFE-GC/MS study from four family units were determined, and, while the families were distinguishable, the maternal relations yielded identical sequences. In tandem, SFE-GC/MS and mtDNA techniques may provide valuable complementary data from forensic hair samples.     

Public Opinion on Federalism in Canada, Mexico, and the United States in 2003

This research reports on public opinion surveys on intergovernmentaland federal issues conducted in Canada, Mexico, and the UnitedStates in March and April 2003. In all three countries, respondentsmost often see their federal government as being the least effective,least efficient, and least trustworthy. Respondents from Canadaappear least supportive of their federal government and mostsupportive of their local governments; those from Mexico appearmost supportive of their state governments; respondents fromthe United States appear more "balanced" in their support ofthe various orders of government. Also, far greater regionaldifferences in opinion exist in Canada than in Mexico or theUnited States. Support for more decentralized federalism isfound to be strong in all these federal countries. This researchalso updates long-term trend data for the United States. Comparedwith respondents from previous years, U.S. respondents in 2003showed a measurable uplick in support for the federal government,compared with state and local governments. This support seemsto be a carryover from the terrorist attacks of 11 September2001.     

Judicial Behavior and Public Opinion: Popular Expectations Regarding the Factors That Influence Supreme Court Decisions

This article examines the mass public's perceptions of the factors that actually influence Supreme Court decisions as well those that ought to influence such decisions. We expect significant discrepancies between what the public believes ought to be the case and what it perceives to actually be the case with regard to Supreme Court decision making and that these discrepancies have a significant negative impact on the public's assessment of the Court. More specifically, we hypothesize that the public believes that political factors have more influence on the Court than ought to be the case and that the public perceives traditional legal factors to be less influential than they should be. We find that the expected discrepancies do exist and significantly detract from popular regard for the Court.     

A Linear Poisson Autoregressive Model: The Poisson AR(p) Model

Time series of event counts are common in political scienceand other social science applications. Presently, there arefew satisfactory methods for identifying the dynamics in suchdata and accounting for the dynamic processes in event countsregression. We address this issue by building on earlier workfor persistent event counts in the Poisson exponentially weightedmoving-average model (PEWMA) of Brandt et al. (American Journalof Political Science 44(4):823–843, 2000). We developan alternative model for stationary mean reverting data, thePoisson autoregressive model of order p, or PAR(p) model. Issuesof identification and model selection are also considered. Wethen evaluate the properties of this model and present bothMonte Carlo evidence and applications to illustrate.     

What happens after the lone ranger rides away?

A community policing program consisting of citizen input and problem solving techniques often results in a decision to police places and translates into lower crime rates at the policed locations. Proponents of community policing programs believe that they build social capital, which invests neighborhood citizens in the crime reduction efforts and reduces the simultaneous occurrence of potential offenders and victims required for crimes to be committed.     

Use of the MMPI-2 and the Inwald personality inventory to identify the personality characteristics of dropouts from a state police academy

The MMPI-2 and the Inwald Personality Inventory were employed to investigate the personality characteristics of dropouts from a state police academy. A traditional model of training borrowed from military models was used at the academy rather than a police generated model. Sensitive and independent individuals, more compatible with modern community policing methods may have rejected police work as a result of the experience. 15 academy completers and 9 dropouts were used in the sample. Analyses of the scales of the MMPI-2 and the Inwald Personality Inventory identified variables upon which the two groups differed. The hypothesis that more sensitive, empathic and independent individuals were leaving the academy appeared to be supported.     

The Service Sector's Acquisition and Development of Information Technology: Infrastructure and Productivity

The paper explains why the productivity of information technology (IT) in the service sector of the U.S. economy is increased by the provision of infratechnology. The size and growth of the service sector and its investment in IT are discussed, and a key fact and a key inference are developed. The fact: The absorption costs of IT are the vast majority of the IT investment costs to the service sector. The inference: Infratechnology investments are an efficient way to increase both private and social benefits of incurring the cost of implementing IT.