ClockIt: Monitoring and Visualizing Student Software Development Profiles

Monitoring software development practices can result in improved estimation abilities and increased software quality. A common drawback associated with many monitoring schemes is the manual overhead needed to make the monitoring effective. This overhead results in users abandoning the monitoring scheme shortly after it is adopted or poor quality in the data produced. Alternatives have been introduced that automate part, or all of the monitoring. ClockIt is a fully automated extension for the pedagogical integrated development environment (IDE) BlueJ, and focuses on aspects of the development practices seen in introductory level students. By automatically monitoring introductory student development behavior, instructors and students gain insight about development practices. In addition to the ClockIt extension, Visualization tools are provided to assist students or instructors in exploring the data. Data collected via ClockIt for four semesters confirm previous independent findings. And, new insights about how compilation error frequency changes in introductory students and the relationships between pairs of compilations have been discovered

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