The market for social norms

This article presents a semirigorous model in which a new normarises out of the workings of a market for norms. Change istriggered by a shift in either cost-benefit conditions or groupcomposition. Because individuals are heterogeneous in importantrespects, they respond differently to these triggering events.The first persons to supply new norms generally are individualswho have either superior technical knowledge of cost-benefitconditions, superior social knowledge of group dynamics, orspecial endowments that provide them with unusually high tangiblebenefits from norm reform. Members of the social audience observethe competing efforts of these norm suppliers and reward themost meritorious ones by conferring on them either esteem or,according to an alternative conception, new exchange opportunities.Under optimal conditions, members of the audience - key participantsin the demand side of the market for norms - do not free-ridebecause they incur no net costs when conferring their rewards.     

Bioinformatics Approach to Assess the Biogeographical Patterns of Soil Communities: The Utility for Soil Provenance,

Soil DNA profiling has potential as a forensic tool to establish a link between soil collected at a crime scene and soil recovered from a suspect. However, a quantitative measure is needed to investigate the spatial/temporal variability across multiple scales prior to their application in forensic science. In this study, soil DNA profiles across Miami‐Dade, FL, were generated using length heterogeneity PCR to target four taxa. The objectives of this study were to (i) assess the biogeographical patterns of soils to determine whether soil biota is spatially correlated with geographic location and (ii) evaluate five machine learning algorithms for their predictive ability to recognize biotic patterns which could accurately classify soils at different spatial scales regardless of seasonal collection. Results demonstrate that soil communities have unique patterns and are spatially autocorrelated. Bioinformatic algorithms could accurately classify soils across all scales with Random Forest significantly outperforming all other algorithms regardless of spatial level.     

Characterization and validation studies of powerPlex 2.1, a nine-locus short tandem repeat (STR) multiplex system and penta D monoplex

In order to increase the power of discrimination for human identification purposes, a nine-locus short tandem repeat (STR) multiplex, the GenePrint PowerPlex 2.1 system (PowerPlex 2.1) developed by Promega Corporation and a separate pentanucleotide-repeat locus, Penta D, were tested. This megaplex system includes the highly polymorphic loci FGA, TPOX, D8S1179, vWA, Penta E, D18S51, D21S11, TH01, and D3S1358 and may be used in combination with the eight-locus STR multiplex, the GenePrint PowerPlex 1.1 system (PowerPlex 1.1) that has been previously developed. Three of the loci, TPOX, TH01 and vWA, have been included in both systems for quality control purposes. As with PowerPlex 1.1, PowerPlex 2.1 is also based on a two-color detection of fluorescent-labeled DNA products amplified by polymerase chain reaction (PCR) and provides a valuable tool for accurate and rapid allele determination. The primer sequences used in the PowerPlex 2.1/Penta D system are also presented in this report. To meet the "Quality Assurance Standards for Forensic DNA Testing Laboratories" (FBI), we tested the efficiency and reproducibility of the PowerPlex 2.1/PentaD system by several validation studies that were conducted as a joint project among seven laboratories. Validation tests included concordance studies, sensitivity, and species specificity determination, as well as performance in forensic and environmentally impacted samples. The results produced from these tests demonstrated the consistency and reliability of the PowerPlex 2.1/Penta D system.