Award Data

Our innovation is a low cost, sensitive, quantitative biosensor that can detect many biomarkers on the same chip. Our sensor consists of vertically aligned silicon nanowires. The silicon nanowires’ high surface area to volume ratio makes them sensitive to the environment around them and can thus lead to high sensitivity detection. Each of the nanowires can be functionalized to be sensitive to ei ...

Through previous research and development, the team created a teacher platform that suggests research-based strategies for supporting students with special needs or targeted skill gaps. This project will develop a prototype of a dashboard for teachers to create, access, and track student's Individual Educational Plans (IEPs). At the end of Phase I, in a pilot study with six middle school special e ...

Through a previous grant award from the U.S. Department of Education, researchers developed Read for Success, an intervention designed to stem the summer slide among struggling readers. This project will develop a prototype of Mix Libris, an Augmented Reality (AR) enhanced mobile literacy platform designed to support and motivate grade 3 students in acquiring and improving literacy skills. Mix Lib ...

Through previous grant awards from IES and the National Science Foundation and an ED/IES SBIR award, researchers developed a virtual laboratory with performance-based simulations aligned to Next Generation Science Standards (NGSS) in physical, life, and earth science for middle school, as well as a dashboard to provide teachers real-time formative and summative assessment reports on students doing ...

Traditionally, implementation of dedicated, continuous nuclear and radiological monitoring systems for identifying and tracking nuclear materials out of regulatory control is associated with high operational burdens. Although video and images from cameras are helpful in assessing threats, the raw, unstructured data require time-intensive human interaction to extract the relevant actionable informa ...

The implementation of continuous nuclear and radiological monitoring systems enabling the automatic detection and tracking of potential nuclear threats is traditionally associated with a high operational burden. Sensors typically have to be monitored by dedicated personnel, who must investigate detection events in a timely manner; however, high nuisance alarm rates can rapidly overwhelm already-ta ...

A Phase I SBIR is proposed for the development of a wearable sensor to protect law enforcement and first responders from inadvertent exposure to potentially toxic levels of fentanyl and/or fentanyl analogs.The Phase I project will demonstrate the ability of the new sensor to selectively detect the presence of fentanyl analog vapors from solid samples or air-borne particulates in concentrations bel ...

Nano Terra proposes to develop a low-cost and wearable detector badge that quickly and selec-tively alerts the user to the presence of solid fentanyl aerosols with an audible and visual alert. Current commercial fentanyl and opioid detectors are bulky and costly and have unsuitably-high limits of detection. Nano Terra will leverage their expertise in ultra-sensitive dosimetric detection of threat ...

Physical Sciences Inc. (PSI) proposes to develop a PCS-Enabled Unattended Radiation Detection and Attribution System (PURDAS) that will be able to detect, identify, and attribute radiological sources to specific source carriers or conveyances. The PURDAS will include a COTS gamma and neutron detection capability as well as a visible camera, onboard processing, and wireless radios. PURDAS units wil ...

Accurate high-performance, low-cost handheld devices are needed by law enforcement and first responders for the detection, identification, classification and reporting of radioactive materials. The goal of this program is to produce a compact, low-power radiation identifier that costs less than $500 to make and communicates with a smartphone or tablet for computational analysis. CapeSym will lever ...