Award Data

We propose a multi-step approach to event classification using machine learning based on convolutional neural networks for noise reduction, improved phase picking and combined new and legacy features.

In resource limited settings, rapid and accurate diagnosis of infections is critical for managing potential exposures to highly virulent pathogens, whether occurring from an act of bioterrorism or a natural event. This is especially important for hard to detect intracellular bacterial and alphavirus infections, that overlap symptomatically and often treated empirically due to a lack of reliable an ...

Hazard assessment tools that model the transport and dispersion of Chemical, Biological, Radiological, Nuclear and Explosive (CBRNE) materials through urban areas are only as good as the 3D models that inform the physics model. Maintaining accurate, up-to-date 3D models of urban areas is challenging. Even in the commercial world, urban construction and demolition may result in the models created a ...

While this solicitation described the need for better sampling methods and rugged mass spectrometers, the topic author funded our alternative approach, which employs existing DoD Raman spectrometers. The Phase III project goal is to develop a Field-Usable Designer Drug Analyzer capable of identifying and quantifying drugs in saliva and blood at 10 ng/mL in 10 minutes. Feasibility was demonstrated ...

There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terrible morbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditional vaccines have contributed greatly to public health, they have some limitations especially in the context of operati ...

Applied Spectra will fabricate a prototype field portable instrument for rapid isotopic analysis based on the demonstrated Phase I technology using an Atmospheric Pressure Glow Discharge (APGD) excitation/ionization source with Laser Ablation (LA) sampling and Optical Emission Spectroscopy (OES). The new instrument is a paradigm shift for rapid field analysis of elements/isotopes without requiring ...

This project will fully develop LabAR, an augmented reality (AR) app for students to perform hands-on physical science investigations. Using the on-device camera, LabAR will augment the environment around the user with simulated instruments and equipment, real-time data visualizations, and annotations. The simulation will be designed to look and feel realistic to maximize transferability of knowle ...

Verdant will be an immersive virtual reality (VR) experience for high school biology students focusing on Mendel's investigation into the heredity of pea plants and the basis of genetics. In Verdant, students revisit Mendel's scientific process by designing and running open-ended crossbreeding experiments at the macroscopic and microscopic levels and recording results, as Mendel did, but in hours ...

As wildfires are increasing in prevalence and intensity there is a need for miniaturized, lower cost, and easily portable air sensor systems that provide accurate information to air quality and public health managers, communities, and researchers, so that the public can be protected and timely decisions can be made. Fixed site measurement stations are large and expensive. More dense networks of sm ...

Due to increasing concerns over the long-term health effects of PFOS and PFAS on the human body, regulatory agencies have set limits for the concentrations ofPFOS and PFAS in drinking water.Currently, lab-based PFOA and PFOS water tests cost $200-$300 per sample, with a turnaround time of 2-3 weeks.In the program, 2W iTech LLC Proposes to develop a low-cost fieldable sensing technology for detecti ...