Abstract: Esophageal bolus transport and esophageal mechanics are quantified from medical imaging data, such as dynamic magnetic resonance imaging (“MRI”) data, computed tomography (“CT”) data, or the like. A machine learning model is used to process geometric or other spatiotemporal parameters of a bolus imaged with medical imaging in order to estimate quantitative parameters of the bolus and/or esophagus, such as cross-sectional area, fluid velocity, and fluid pressure. From these values, other parameters can be computed, such as esophageal stiffness and active relaxation.

Abstract: Omniphilic and superomniphilic surfaces for simultaneous vapor condensation and airborne liquid droplet collection are provided. Also provided are methods for using the surfaces to condense liquid vapor and/or capture airborne liquid droplets, such as water droplets found in mist and fog. The surfaces provide enhanced capture and transport efficiency based on preferential capillary condensation on high surface energy surfaces, thin film dynamics, and force convection.

Abstract: A method of forming a metasurface includes forming a plurality of channels on a surface of a formed from a first material, like a metal, ceramic, or polymer. The method also includes filling the plurality of channels in the surface of the base substrate with a second material that is different from the first material to form a metasurface on the base substrate. The method further includes placing the metasurface into a heat exchange system such that the metasurface is proximate to a liquid used in the heat exchange system.

Abstract: Methods, apparatus, and systems for removing salt from brine are provided. A surfactant is mixed with the brines and the brines are atomized to form airborne brine droplets from which the liquid component can be rapidly evaporated. The remaining airborne salt particles are than filtered from the air stream and the water vapor condensed for collection and downstream use or processing.

Abstract: Described here are systems and methods for four-dimensional manometry, which can include generating and displaying rendering data that simultaneously depict spacetime variations in impedance, pressure, and esophageal luminal morphology. From these data, bolus tracking and esophageal opening and velocity data can be measured and visualized without the need for additional imaging, thereby reducing a subject's exposure to otherwise necessary ionizing radiation.

Abstract: Systems, methods, and computer readable media to simulate and predict translational and/or rotational velocity of a moving vehicle based on a determination of engine load for the vehicle are disclosed. An example vehicle motion simulator system includes a speed and stability predictor to simulate and predict a translational and rotational velocity of a moving vehicle based on a determination of engine load for the moving vehicle characterized by the speed and stability predictor. The example speed and stability predictor to execute instructions to at least: compute a nearest wall distance for the moving vehicle in an environment; solve an eddy viscosity for the environment; solve a flow velocity for the environment; and determine vehicle motion to characterize a speed and stability of the moving vehicle based on the wall distance, eddy viscosity, and flow velocity.

Abstract: Omniphilic and superomniphilic surfaces for simultaneous vapor condensation and airborne liquid droplet collection are provided. Also provided are methods for using the surfaces to condense liquid vapor and/or capture airborne liquid droplets, such as water droplets found in mist and fog. The surfaces provide enhanced capture and transport efficiency based on preferential capillary condensation on high surface energy surfaces, thin film dynamics, and force convection.

Abstract: Systems, methods, and computer readable media to simulate and predict translational and/or rotational velocity of a moving vehicle based on a determination of engine load for the vehicle are disclosed. An example vehicle motion simulator system includes a speed and stability predictor to simulate and predict a translational and rotational velocity of a moving vehicle based on a determination of engine load for the moving vehicle characterized by the speed and stability predictor. The example speed and stability predictor to execute instructions to at least: compute a nearest wall distance for the moving vehicle in an environment; solve an eddy viscosity for the environment; solve a flow velocity for the environment; and determine vehicle motion to characterize a speed and stability of the moving vehicle based on the wall distance, eddy viscosity, and flow velocity.