Stochastic Dominance in Mobility Analysis

This paper introduces a technique for mobility dominance and compares the degree of earnings mobility of men in the USA from 1970 to 1995. The highest mobility is found in the 1975–1980 or 1980–1985 periods

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

Economics at the FTC: The Google-DoubleClick Merger, Resale Price Maintenance, Mortgage Disclosures, and Credit Scoring in Auto Insurance

Antitrust, Consumer protection, Credit scores, FTC, Insurance, Mergers, Mortgage disclosures, Race and ethnicity, Resale price maintenance,

Innovations in Instructional Design and Technology Programs: A View from PIDT 2018

During the 2018 Professors in Instructional Design (PIDT) Conference, faculty representing over a dozen institutions met to discuss curricular initiatives that were being implemented across programs, and the challenges and benefits of these initiatives. The discussion focused on several areas, including: interdisciplinary/multidisciplinary programs and courses, online programs, and undergraduate initiatives. The outcome of these conversations led faculty to gather information from across these institutions to highlight and share ways that their respective programs have promoted the field through innovative partnerships, projects, and programs within the broader community. It is anticipated that this summary will serve as a catalyst for other programs to propose and share their own innovative program plans and encourage individuals to attend future PIDT conferences

Data from: Assessing vertebrate biodiversity in a kelp forest ecosystem using environmental DNA

Preserving biodiversity is a global challenge requiring data on species’ distribution and abundance over large geographic and temporal scales. However, traditional methods to survey mobile species’ distribution and abundance in marine environments are often inefficient, environmentally destructive, or resource-intensive. Metabarcoding of environmental DNA (eDNA) offers a new means to assess biodiversity and on much larger scales, but adoption of this approach for surveying whole animal communities in large, dynamic aquatic systems has been slowed by significant unknowns surrounding error rates of detection and relevant spatial resolution of eDNA surveys. Here, we report the results of a 2.5 km eDNA transect surveying the vertebrate fauna present along a gradation of diverse marine habitats associated with a kelp forest ecosystem. Using PCR primers that target the mitochondrial 12S rRNA gene of marine fishes and mammals, we generated eDNA sequence data and compared it to simultaneous visual dive surveys. We find spatial concordance between individual species’ eDNA and visual survey trends, and that eDNA is able to distinguish vertebrate community assemblages from habitats separated by as little as ~60 m. eDNA reliably detected vertebrates with low false-negative error rates (1/12 taxa) when compared to the surveys and revealed cryptic species known to occupy the habitats, but overlooked by visual methods. This study also presents an explicit accounting of false negatives and positives in metabarcoding data, which illustrate the influence of gene marker selection, replication, contamination, biases impacting eDNA count data, and ecology of target species on eDNA detection rates in an open ecosystem

Vert-12S BLAST database (nsq file)

This is one of three data files composing the marine vertebrate 12S mitochondrial BLAST database used in this study. This is the sequence (nsq) file