University of Florida Research Foundation Inc

Woods Hole Oceanographic' Institution

Clarkson University

Other

Christopher C Ferraro

Forrest James Masters

Pedro L Fernandez-Caban

Brian M Phillips

Britt Raubenheimer

Wei-Ting Lu

Timothy Townsend

Justin G Roessler

James Edward Baciak

Kelly Alexander Jordan

Kyle A Riding

Jerry M Paris

David B Scott

Eric R Giannini

Joseph Alex Esposito

Ashish D Patel

Aspects of the present disclosure provide for cement, cement paste, cementitious paste, cementitious mortar, and concrete, methods of making cement, cement paste, cementitious paste, cementitious mortar, and concrete, structures incorporating the concrete, and the like, where the cement, cement paste, cementitious paste, cementitious mortar, and the concrete include elemental boron and/or one or more boron compounds (e.g., boron-doped cement, cement paste, cementitious paste, cementitious mortar, and concrete). The boron and/or a boron compound can be homogeneously distributed throughout the cement, cement paste, cementitious paste, cementitious mortar and/or concrete.

Boron doped cement and concrete

The present disclosure describes various embodiments of systems, apparatuses, and methods of monitoring wind and water properties. For one such weather monitoring system, a weather monitoring station comprises an upper mast section having an instrumentation package, wherein the instrumentation package includes an orientation sensor, communications circuitry, a wind velocity sensor, and a control unit that is configured to at least receive sensor data and transmit communication data via the communications circuitry. The weather monitoring station further includes at least one lower mast section that is coupled to the upper mast section, and an anchoring system that is coupled to the lower mast section, wherein the anchoring system includes at least one subsurface anchor for inserting into a ground surface within a littoral zone of a coastal area. Other systems, apparatuses, and methods are also provided.

In situ measurement station for monitoring wind and water properties in extreme hydrodynamic conditions

The present disclosure describes various embodiments of systems, apparatuses, and methods for large-scale processing of weather-related data. For one such system, the system comprises a database of weather-related data providing from at least one weather monitoring station and at least one processor for coordinating a data processing job for processing a set of input weather-related data from the database. Accordingly, the input data comprises sensor data from the at least one weather monitoring station positioned on an open shoreline during a hydrodynamic event, weather model data for the hydrodynamic event, and at least one of air-craft reconnaissance data or satellite reconnaissance data regarding the hydrodynamic event, wherein the at least one processor is configured to assimilate the input data and generate, using machine learning, an improved weather prediction model for the hydrodynamic event. Other systems, apparatuses, and methods are also provided.

Described herein are compositions and methods for waste-to-energy ash in engineered aggregate in road construction.

Waste to energy ash and engineered aggregate in road construction

The present disclosure describes various embodiments of systems, apparatuses, and methods for large-scale processing of weather-related data. For one such system, the system comprises a database of weather-related data providing from a plurality of weather monitoring stations and a plurality of interconnected processors for coordinating a data processing job for processing a set of input weather-related data from the database. Accordingly, the input data comprises sensor data from an array of weather monitoring stations positioned on an open shoreline during a hydrodynamic event, weather model data for the hydrodynamic event, and at least one of air-craft reconnaissance data or satellite reconnaissance data regarding the hydrodynamic event, wherein the plurality of interconnected processors are configured to assimilate the input data and generate, using machine learning, an improved weather prediction model for the hydrodynamic event. Other systems, apparatuses, and methods are also provided.

Various examples are provided for portable neutron imaging. In one example, a portable neutron-imaging system is described. A compact neutron source assembly can comprise an ion-beam bombardment source generating an isotropic source of monoenergetic neutrons. The neutron-imaging system does not include a moderator or collimator. Instead, the emission source and image-capture apparatus are placed in close proximity to an object to be imaged. Quality images were obtained with short exposure times of less than 20 seconds.

Portable neutron imaging based non-destructive evaluation

Growing community of inventors

Gainesville, FL, United States of America

Christopher C Ferraro