The identity of patients must be protected when patient data are shared. The two most commonly used models to protect identity of patients are L-diversity and K-anonymity. However, existing work mainly considers data sets with a single sensitive attribute, while patient data often contain multiple sensitive attributes (e.g., diagnosis and treatment). This article shows that although the K-anony...

BACKGROUND Measuring the structural diversity of compound databases is relevant in drug discovery and many other areas of chemistry. Since molecular diversity depends on molecular representation, comprehensive chemoinformatic analysis of the diversity of libraries uses multiple criteria. For instance, the diversity of the molecular libraries is typically evaluated employing molecular scaffolds,...

Diversity, in the form of genetic diversity, chemical diversity etc, is a very important concept in several areas of scientific research, and calculation of diversity is one of the most important considerations in pre-clinical drug discovery research and, in particular, in design of diverse chemical libraries for combinatorial chemistry and compound selection for High Throughput Screening (HTS)...

Data from 247 global software development teams were used to examine the impact of temporal dispersion and leadership roles on the relationship between nationality diversity and team performance. Nationality diversity was positively related to team performance when project leaders regularly coordinate and monitor team members’ activities, and acted as mentors and facilitator. However, when nati...