Award Data

Advances in spatial metabolomic analysis of tissue biopsies using MALDI-MSI now enable the identification of numerous biochemical pathways as signatures of specific histopathology features. However, the lack of reproducibility across experimental studies without a common internal standard limits the application of MALDIMSI for drug development. SygnaMap is developing MSI-DeepPath as an innovative ...

For this project, the team at Framergy, Inc. in partnership with Texas A&M University (TAMU), will analyze the feasibility of post-synthetic incorporation of metal-organic frameworks (MOFs) into polymer composites. This manufacturing method has the distinct advantage of eliminating the synthesis optimization that is often needed in in-situ growth methodologies, while also allowing for a higher de ...

To date, no realizable method of predicting the occurrence or magnitude of a Solar Energetic Particle (SEP) event has been developed. There are multiple models currently available in the Community Coordinated Modeling Center (CCMC) through Goddard Space Flight Center that attempt to provide timely and accurate event propagation (e.g.MAG4, Enlil, and SEPMOD). None of these have yet achieved the goa ...

This research aims to develop decision support tools for better maintenance and planning of renewable energy generation and storage assets using atmospheric, local weather, and on-ground environmental data blended with site-, regional- and national-generation data. The study will use a combination of these data to understand the relationship between non-cloud cover based atmospheric conditions and ...

AirMettle Inc. is transforming big data analytics for NOAA and the broader scientific community with a real-time smart data lake solution. Our innovative method utilizes massively parallel in-storage data processing within a versatile software defined storage framework, deployable on-premises or as a cloudbased service. Building upon our successful NOAA SBIR Phase I project, we strive to improve t ...

Bottom line up front: The next-generation operator requires an effective, immersive training platform supporting haptic force feedback and natural real-time representations of operational environments. Problem: Current operator training equipment lacks realism and accuracy for effective immersion of field scenarios. Training under these circumstances leaves many variables excluded from the operato ...

We propose to use Aerosol Optical Depth (AOD) measurements as an early warning system, to cue on-site validation of the soiling station and any available meteorological (MET) station data to validate if a work order to clean deposited particulate matter is necessary. This would move from reactive maintenance – often weeks delayed, to proactive maintenance – getting ahead of the weather impact ...

The massive volumes of multi-dimensional array-oriented data generated by NOAA programs and the scientific community at large are predominantly stored in industry standard Network Common Data Form (NetCDF). Key challenges exist in making use of data stored in netCDF: data sets are often too large to be copied and transferred across networks for every user, and each time data is accessed by an anal ...

Micro-Raman technology, that is embedded on a smartphone Platform. Micro-Raman will be a fraction the size of existing systems and fit into the Digital SOCOM initiative. The Smart device allows for the integration of other platforms such as colorimetric and biometric integration into reporting capabilities.

Satellite constellations equipped with advanced antenna systems can provide critical communication uplinks, navigation, and data exfiltration to terrestrial units/platforms on land, in air, and over sea. To achieve this compact and beyond line-of-sight systems with full-orbit directionality are of interest due to their ability to reduce the probability of unwanted signal intercept, increase covera ...