Sources to Seafood: Mercury Pollution in the Marine Environment

In 2010, the Toxic Metals Superfund Research Program at Dartmouth College brought together a group of 50 scientists and policy stakeholders to form C-MERC, the Coastal and Marine Mercury Ecosystem Research Collaborative. The goal was to review current knowledge—and knowledge gaps—relating to a global environmental health problem, mercury contamination of the world’s marine fish. C-MERC participants attended two workshops over a two-year period, and in 2012 C-MERC authors published a series of peer-reviewed papers in the journals Environmental Health Perspectives and Environmental Research that elucidated key processes related to the inputs, cycling, and uptake of mercury in marine ecosystems, effects on human health, and policy implications. This report synthesizes the knowledge from these papers in an effort to summarize the science relevant to policies being considered at regional, national, and global levels. The Dartmouth Toxic Metals Superfund Research Program uses an interdisciplinary approach to investigate the ways that arsenic and mercury in the environment affect ecosystems and human health. Arsenic and mercury are commonly found in Superfund sites around the U.S. as well as other areas that result in exposures to certain communities. The Research Translation Core of the program communicates program science to government partners, non-governmental organizations, health care providers and associations, universities and the lay community, and facilitates the use of its research for the protection of public health. The Research Translation Core organized the C-MERC effort. The Superfund Research Program of the National Institute of Environmental Health Sciences supports a network of university programs that investigate the complex health and environmental issues associated with contaminants found at the nation’s hazardous waste sites. The Program coordinates with the Environmental Protection Agency and the Agency for Toxic Substances and Disease Registry of the Centers for Disease Control and Prevention, federal entities charged with management of environmental and human health hazards associated with toxic substances

Analysis of visitors’ mobility patterns through random walk in the Louvre Museum

This paper proposes a random walk model to analyze visitors' mobility patterns in a large museum. Visitors' available time makes their visiting styles different, resulting in dissimilarity in the order and number of visited places and in path sequence length. We analyze all this by comparing a simulation model and observed data, which provide us the strength of the visitors' mobility patterns. The obtained results indicate that shorter stay-type visitors exhibit stronger patterns than those with the longer stay-type, confirming that the former are more selective than the latter in terms of their visitation type.Comment: 16 pages, 5 figures, 4 table

Communicating Phylogeny: Evolutionary Tree Diagrams in Museums

Tree of life diagrams are graphic representations of phylogeny—the evolutionary history and relationships of lineages—and as such these graphics have the potential to convey key evolutionary ideas and principles to a variety of audiences. Museums play a significant role in teaching about evolution to the public, and tree graphics form a common element in many exhibits even though little is known about their impact on visitor understanding. How phylogenies are depicted and used in informal science settings impacts their accessibility and effectiveness in communicating about evolution to visitors. In this paper, we summarize the analysis of 185 tree of life graphics collected from museum exhibits at 52 institutions and highlight some potential implications of how trees are presented that may support or hinder visitors’ understanding about evolution. While further work is needed, existing learning research suggests that common elements among the diversity of museum trees such as the inclusion of anagenesis and absence of time and shared characters might represent potential barriers to visitor understanding