Abstract: A system for forecasting macroeconomic trends using geospatial data and a machine learning model. The system may include a server computing device in communication with a user computing device via a network, the server computing device comprising a processor and a memory, the memory storing computer-executable instructions which are executed by the processor to: obtain images from a satellite imagery catalog; determine Normalized-Difference Built-Up Index (NDBI) values of one or more zones between various bands of the images; determine an average of the NDBI values for each zone; seasonally adjust the average NDBI values; obtain economic data from external sources; generate a stationarity dataset based on the adjusted NDBI values and the economic data; generate a statistical relationship model based on the stationarity dataset and economic activity of each zone; and forecast a macroeconomic trend based on the statistical relationship model and the current satellite imagery data.

Abstract: A system for forecasting macroeconomic trends using geospatial data and a machine learning model. The system may include a server computing device in communication with a user computing device via a network, the server computing device comprising a processor and a memory, the memory storing computer-executable instructions which are executed by the processor to: obtain images from a satellite imagery catalog; determine Normalized-Difference Built-Up Index (NDBI) values of one or more zones between various bands of the images; determine an average of the NDBI values for each zone; seasonally adjust the average NDBI values; obtain economic data from external sources; generate a stationarity dataset based on the adjusted NDBI values and the economic data; generate a statistical relationship model based on the stationarity dataset and economic activity of each zone; and forecast a macroeconomic trend based on the statistical relationship model and the current satellite imagery data.

Abstract: Methods for producing a food product that involve use of a cross-flow filtration module are disclosed. The cross-flow filtration module may be used to recycle wastewater effluent and/or to recover antioxidant compounds from the wastewater effluent. In some embodiments, the cross-flow filtration module includes a stainless steel or nickel alloy substrate.

Abstract: An ophthalmic lens scanner includes an inspection platform configured to receive an ophthalmic lens thereon. A camera is spaced apart from the inspection platform and is arranged to, in response to an activation signal, capture an image of the ophthalmic lens. A light source is spaced apart from the inspection platform and is configured to emit light when the camera is activated to capture an image of the ophthalmic lens. The inspection platform is located between the camera and the light source. A first Fresnel lens is located between the inspection platform and the camera. A second Fresnel lens is located between the inspection platform and the light source. The ophthalmic lens scanner may be incorporated in an ophthalmic lens scanner system that includes a computing device and a display device.