In Situ Phytoplankton Analysis: There’s Plenty of Room at the Bottom Jeffrey S. Erickson, Nastaran Hashemi, James M. Sullivan, Alan D. Weidemann, and Frances S. Ligler* Center for Bio/Molecular Science and Engineering, Naval Research Laboratory, Code 6900, Washington, D.C. 20375-5438, United States WET Laboratories, Inc., Department of Research, 70 Dean Knauss Drive, Narragansett, Rhode Island ...

The overall purpose was to field a system for use within the operational elements of the Intelligence community and other Government agencies. Phase III Government participants included the Defense Advanced Research Projects Agency (DARPA), the Central Intelligence Agency (CIA), the National Security Agency (NSA), the National Institute of Standards and Technology (NIST), the Naval Research Lab...

This clinical report describes the outpatient rehabilitation program for patients with multiple limb amputations enrolled in the Comprehensive Combat and Complex Casualty Care facility at the Naval Medical Center San Diego. Injury-specific data for 29 of these patients wounded by blast weaponry in Afghanistan in 2010 or 2011 were captured by the Expeditionary Medical Encounter Database at the N...

The long-term goal of this research is to develop a robust multi-physics, multi-scale computational framework for the prediction and analysis of highly nonlinear dynamic behavior of naval systems in the marine environment of arbitrary water depth. The predictive capability will be sufficiently general for a variety of naval systems with a wide range of structural and mechanical complexities ope...

This paper describes an Automated Change Detection and Classification (ACDC) system being developed by the Naval Research Laboratory (NRL) for the Mine Warfare group at the Naval Oceanographic Office (NAVOCEANO). ACDC autonomously detects features in sidescan imagery, classifies the features, searches through historical and dynamic databases of previously detected features and performs change d...