Award Data

Accurate real-time waterborne pathogen detection is of paramount importance to security of U.S. military forces and installations. Fieldable high-throughput pathogen concentration is a critical analytical need for enhanced detection performance. Existing concentration methods are time-consuming, bulky, labor-intensive, power- and reagent-hungry, and consequently ill-suited for battlefield deployme ...

Current drug discovery and development programs are severely limited by the expensive animal trials and oversimplified in vitro models. Results obtained from the in vitro models are not predictive of in vivo toxicity owing to significant difference in testing from the in vivo physiological conditions. In this context, we propose to develop and demonstrate a novel microfluidic device for quantitati ...

Current methods for detecting toxicity in food are labor intensive, time-consuming and require access to sophisticated laboratory equipment. To overcome these limitations we propose to develop a novel, microfluidics yeast-based sensor system for detection of Toxic Industrial Chemicals (TICs) in food. Robust yeast cell wires and membrane patches will be assembled on-demand and in-situ from suspensi ...

Molecular biology techniques allow generating combinatorial libraries of large number of enzyme variants. However, there is currently no technology available for screening the enzyme libraries for identifying variants with improved activity for the substrate. We propose to develop a novel, microfluidic, high-throughput platform for determining kinetic constants of enzyme variants and identifying v ...

The goal of this project is to develop a computational algorithm/model to detect subtle changes in neurobiology of sleep-wake cycle due to mild TBI. We aim to quantify early enough the subtle changes in sleep-wake disorder by correlating objective sleep quality measurements as model inputs to the “Injury Leonardo” framework that

Including radiative heat transfer in full-vehicle thermal analysis simulations results in nonlinear equations with coefficient matrices that are dense, poorly conditioned, and difficult to solve. Further, calculating and storing view factors¯needed for surface-to-surface radiative fluxes¯is computationally prohibitive on fine grids. In the proposed SBIR project, CFDRC will develop, validate and ...

This Phase I SBIR program will develop an information system and design a nano-Toolkit with data-mining and predictive models for accelerated risk assessment of engineered nanomaterial attributes. It was recently shown that nanomaterials used in warfighter technologies may be responsible for significant human health and environmental risks. For example, researchers at the Army’s Engineer Resear ...

The goal of this project is to develop and deliver a rugged and portable human head/brain physical phantom that could be used for evaluation of existing and next generation EEG equipment. We will also develop, validate and deliver a virtual computational head phantom that could be used for evaluation of source localization. Computational models will be used to design both simple and anatomical hea ...

The objective of this SBIR program is to integrate scientific programs and associated databases within a Graphical User Interface (GUI)-driven wrapper to facilitate their use by the Army to assess the fate and transport of munitions and their effect on human health. The GUI will help ease data transfer between the programs, reducing the scope of user error and increasing productivity. In Phase I, ...

During the process of using Model Based Design and Implementation (MBDI), challenges have been identified with the loss of traceability between the higher level model of the system and the lower level implementation. This results in difficulty to optimize the system since feedback from the system is related to the lower level constructions. CohesionForce proposes a Model Annotation Tool (MAT) that ...