Abstract: A micro bubble pump comprises a narrow tube with two liquid columns separated by a gas bubble. Separate reservoirs containing respective fluids are connected to either of the liquid columns through small valve-controlled openings. External ultrasound waves imposed on the liquid columns oscillate the bubble, allowing it to shrink and expand and causing liquid to flow into and out of the tube respectively. In a preferred embodiment, the inlet and outlet valves are replaced with diffusers. The micro bubble pump has no moving parts and can be actuated by remote energy sources.

Abstract: The present invention provides an estimate of the prior requested in a crop allocation model. The crop allocation model is a mathematical modelling to estimate crop area, yield and production for 42 major crops in the world across a global 5 arc minute grid. The model uses a downscaling approach that accounts for spatial variation in the biophysical conditions influencing the productivity of individual crops, and uses crop gross revenue potential of alternate crops when considering how to prioritize the allocation of specific crops to individual gridcells. The proposed methodology is an entropy-based optimization procedure that imposes a range of consistency and aggregation constraints. A particular feature of this method is the explicit inclusion of error terms. There is inherent uncertainty in many aspects of the model, such as input data, incomplete information on farmers' behavior, spatial heterogeneity of crop varieties and managements cross regions in the world.

Abstract: The present invention is mathematical modelling to estimate crop area, yield and production for 42 major crops in the world across a global 5 arc minute grid. The model uses a downscaling approach that accounts for spatial variation in the biophysical conditions influencing the productivity of individual crops, and uses crop gross revenue potential of alternate crops when considering how to prioritize the allocation of specific crops to individual gridcells. The proposed methodology is an entropy-based optimization procedure that imposes a range of consistency and aggregation constraints. A particular feature of this method is the explicit inclusion of error terms. There is inherent uncertainty in many aspects of the model, such as input data, incomplete information on farmers' behavior, spatial heterogeneity of crop varieties and managements cross regions in the world. By explicitly including error terms, this method directly deal with such uncertainties, which leads to better and more reliable estimates.

Abstract: The present invention is a device of a micro bubble pump utilizing a pulsating bubble as the actuator and corresponding method for using the micro bubble pump for transporting liquid. The main body of the device comprises a narrow tube with two liquid columns separated by a gas bubble. Separate reservoirs containing respective fluids are connected to either of the liquid columns through small valve-controlled openings. External ultrasound waves imposed on the liquid columns oscillate the bubble, allowing it to shrink and expand and causing liquid to flow into and out of the tube respectively. In a preferred embodiment, the inlet and outlet valves are replaced with diffusers. The micro bubble pump has no moving parts and can be actuated by remote energy sources. These features together with compactness and biocompatibility make the micro bubble pump an ideal candidate for an implantable device for drug delivery and biomedical applications.

Abstract: The present invention provides an estimate of the prior requested in a crop allocation model. The crop allocation model is a mathematical modelling to estimate crop area, yield and production for 42 major crops in the world across a global 5 arc minute grid. The model uses a downscaling approach that accounts for spatial variation in the biophysical conditions influencing the productivity of individual crops, and uses crop gross revenue potential of alternate crops when considering how to prioritize the allocation of specific crops to individual gridcells. The proposed methodology is an entropy-based optimization procedure that imposes a range of consistency and aggregation constraints. A particular feature of this method is the explicit inclusion of error terms. There is inherent uncertainty in many aspects of the model, such as input data, incomplete information on farmers' behavior, spatial heterogeneity of crop varieties and managements cross regions in the world.