Award Data

For effective protection against radiated threats, it is important to understand not only the physics of the threats, but also to quantify the effects they have on mission-critical electrical systems. Radiated vulnerability and susceptibility testing requires delivery of high peak power and peak electric fields to distant targets. The most practical solution to simulate such environments on large ...

Aret Associates and Oak Ridge National Laboratory (ORNL) propose an interdisciplinary effort to further develop and validate a robust, operational biomonitoring application that can process soil microbiome data to reliably detect episodic and low-level chronic contamination while maintaining low false alarm rate.The Phase II SBIR work will build upon the successful Phase I proof-of-concept demonst ...

Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of th ...

GeneCapture, Inc. is proposing to develop a rapid in vitro diagnostic prototype using our patented molecular-based CAPTURE (ConfirmActive Pathogens Through Unamplified RNA Expression) assay. Based on the results and experience gained in our Phase I STTR contractHDTRA1-16C-0061: Infectious Disease Diagnostics and Differentiation of Viral vs. Bacterial Infections for Point of Care Applications, we p ...

The primary goal of the preceding Phase I program was to demonstrate the feasibility of developing commercially viable products from our technological innovation that enables unprecedentedly high energy efficiency generation of super-intense EUV-x-ray beams via Metastable Innershell Molecular State. We have successfully met the Phase I goal by demonstrating the feasibility, and are now ready for f ...

Video Demonstration of the Phase I Prototype: http://youtu.be/AIGigEXn12Q Purpose: This project team will develop and test Zaption, a mobile and desktop platform designed to support educators in effectively and efficiently utilizing video (e.g., from YouTube, Vimeo, or their own desktop) as an interactive teaching and learning object. Personalized learning devices (e.g., smartphones, tablets) pop ...

The final product will include a suite of three app-based puzzle games aligned to national math standards for number sense, algebraic thinking, and problem solving. The games will be designed for use in grade 5 and 6 classrooms where students develop and apply content expertise to solving challenges. The games will include an adaptive engine that assesses and adjusts content based on student level ...

Purpose: In prior research and development, the project team developed Storyworld, a web-based activity with mini-games to support English Learners (EL) in language acquisition. In this project, the team will fully develop and test a formative assessment dashboard that provides teachers with insights into EL student's progress as they use Storyworld. ELs are the fastest-growing student population ...

Purpose: This project team will fully develop and test Woot Math Polls, a formative assessment dashboard that converts student math work into data-driven insights to inform teacher instruction and student learning in middle and high school algebra classrooms. Research has marked a decline in math achievement around the time students take algebra in middle school. Technological innovations that pro ...

Purpose: The project team will fully develop and test CloudLab, a web-based dashboard to present scientific data captured by sensors during experiments. The Next Generation Science Standards (NGSS) emphasize the actual doing of STEM so that students can apply learning to the real world. However, students often have difficulty collecting, measuring, and applying data from inquiry activities to furt ...