Evaluating Bioinformatic Pipeline Performance for Forensic Microbiome Analysis*,†,‡

Microbial communities have potential evidential utility for forensic applications. However, bioinformatic analysis of high-throughput sequencing data varies widely among laboratories. These differences can potentially affect microbial community composition and downstream analyses. To illustrate the importance of standardizing methodology, we compared analyses of postmortem microbiome samples using several bioinformatic pipelines, varying minimum library size or minimum number of sequences per sample, and sample size. Using the same input sequence data, we found that three open-source bioinformatic pipelines, MG-RAST, mothur, and QIIME2, had significant differences in relative abundance, alpha-diversity, and beta-diversity, despite the same input data. Increasing minimum library size and sample size increased the number of low-abundant and infrequent taxa detected. Our results show that bioinformatic pipeline and parameter choice affect results in important ways. Given the growing potential application of forensic microbiology to the criminal justice system, continued research on standardizing computational methodology will be important for downstream applications.     

DNA Recovery From Tape-Lifting Kits: Methodology and Practice

In the case of suspicious deaths, the technique of 1:1 taping is often used in Belgium. It consists of affixing a large number of adhesive tapes to the body of the victim. It is conventionally aimed at obtaining microtraces (e.g., fibers, hair) and is usually not used for DNA analysis. However, in some cases, DNA analysis of certain areas of interest identified on the 1:1 taping material can offer a last resort solution. The four-step method that is described in this article involves the selection of areas of interest on the body (Step 1), the selection of the corresponding tapes (Step 2), the decontamination of the tapes (Step 3), the selection of areas of interest on the tapes, for DNA sampling (Step 4). The method is illustrated by its successful application in four murder cases. In each case, DNA profiles of good quality could be identified, including profiles of persons different from the victim.     

Sample Mining and Data Mining: Combined Real-Time and Retrospective Approaches for the Identification of Emerging Novel Psychoactive Substances

Novel psychoactive substances (NPS) are synthetic drugs that pose serious public health and safety concerns. A multitude of NPS have been identified in the United States, often implicated in forensic investigations. The most common and effective manner for identifying NPS is by use of mass spectrometry and the true utility lies within nontargeted acquisition techniques. During this study, a liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) assay was developed, validated, and implemented for forensic toxicology testing. A SCIEX TripleTOF™ 5600 + with SWATH^® acquisition was used. Resulting data were compared against an extensive library database containing more than 800 compounds. The LC-QTOF-MS assay was applied to the reanalysis of biological sample extracts to discover emergent NPS. More than 3,000 sample extracts were analyzed, and more than 20 emerging NPS were detected for the first time. Among these were isopropyl-U-47700, 3,4-methylenedioxy-U-47700, fluorofuranylfentanyl, N-methyl norfentanyl, 2F-deschloroketamine, 3,4-methylenedioxy-alpha-PHP, eutylone, and N-ethyl hexedrone.     

Marijuana medicalization and motor vehicle fatalities: a synthetic control group approach

Journal of Experimental Criminology - This paper reports a quasi-experimental evaluation of California’s 1996 medical marijuana law (MML), known as Proposition 215, on statewide motor vehicle...     

The contribution of the right to information laws in Europe to local government transparency on sustainability

The aim of this paper is to examine the influence of the right to information laws on sustainability transparency in European local governments. This goal is novel, in that previous studies have examined the effects of various factors on the dissemination of government information (demographic, socioeconomic, political and financial) but not the contribution of legal factors to online transparency on environmental, social and economic sustainability. Our research question is this: Do information laws contribute to transparency on sustainability? Using the Global Reporting Initiative guidelines and a statistical regression analysis, we studied the websites of 106 local governments in ten European countries. The results obtained show that when transparency laws clearly stipulate the rules applicable and the procedures established for appeals, exceptions, refusals and requests, this can favour transparency on environmental, social and economic sustainability. Our findings advance understanding of this field and reinforce the basis for legal reforms to enhance sustainability transparency.

     

An experimental trial of a dog-training program in a juvenile detention center

Journal of Experimental Criminology - This research examines the effect of a dog-training program among juveniles ordered to a county juvenile detention facility in a large, Midwestern city. A...     

Academia in Anarchy: 50 years on

Public Choice - In 1970, James Buchanan and Nicos Devletoglou published Academia in Anarchy: An Economic Diagnosis. Even though the book focuses on the industry Buchanan worked in for nearly...     

Democracy's Pin Factory: Issue Specialization,the Division of Cognitive Labor,and Epistemic Performance

This article describes how issue specialization through deliberative institutions called “issue publics” can improve the quality of democratic decision making. Issue specialization improves decisions by instantiating a cognitive division of labor among the mass public, which creates efficiencies in decision making and grants large groups of average citizens a scalable advantage over small groups of even the smartest and most capable individuals. Issue specialization further improves decisions by capturing issue-specific information, concentrating it within the specialized deliberative enclaves of issue publics, and refining citizens’ issue preferences. These advantages are brought to bear in wider democratic politics and policy through information shortcuts and through the specialized electoral incentives of representatives. The article responds to concerns about political ignorance, polarization/partisanship, rent seeking, and socioeconomic bias and argues that issue specialization can provide a valuable brake to polarization yet needs institutional supplementation to engage marginalized citizens and combat bias.     

Shades of Privilege: The Relationship Between Skin Color and Political Attitudes Among White Americans

Shifting racial dynamics in the U.S. have heightened the salience of White racial identity, and a sense that Whites’ social status and resources are no longer secure. At the same time, the growing size of non-White populations has also renewed attention to skin color-based stratification and the potential blurring of racial boundaries. We theorize that Whites with darker skin will be motivated to protect the boundaries of Whiteness due to the loss of status they would face from blurring racial boundaries. Consistent with growing evidence of skin color’s importance for Whites, we demonstrate that darker-skinned Whites—measured via a light-reflectance spectrophotometer—identify more strongly with their White racial identity and are more likely to hold conservative political views on racialized issues than lighter-skinned Whites. Together, these findings offer new insights into the evolving meaning of race and color in American politics.