Abstract: An auger conveyor for transferring, from a first location, a mixed material including granular material and unwanted particulate contaminants, to a second location, the granular material substantially free of the unwanted particulate contaminants, comprising a housing in which there is rotatably supported a conveying member in the form of an auger or screw. A portion of the housing is perforated to provide a tubular screen, and the conveying member includes projecting agitation tabs along a length thereof which is coincident with the perforated portion of the housing, to propel the mixed material in the housing towards the screen so as to urge the unwanted particulate contaminants out of the housing leaving the granular material therein for conveyance to the outlet.

Abstract: An auger conveyor for transferring, from a first location, a mixed material including granular material and unwanted particulate contaminants, to a second location, the granular material substantially free of the unwanted particulate contaminants, comprising a housing in which there is rotatably supported a conveying member in the form of an auger or screw. A portion of the housing is perforated to provide a tubular screen, and the conveying member includes projecting agitation tabs along a length thereof which is coincident with the perforated portion of the housing, to propel the mixed material in the housing towards the screen so as to urge the unwanted particulate contaminants out of the housing leaving the granular material therein for conveyance to the outlet.

Abstract: The invention performs predictive analytics on web content for users researching or tracking detailed topics on the web who are limited by the sparse input capability of current search tools. Using a machine learning technology core and other predictive analytics tools, the invention allows users to create predictive models based on exemplars of their interest such as articles and documents. Predictive models are mathematically patterned and pointed at the web. Results are presented to the user, with the ability to re-train the system as desired as well as create new models.

Abstract: The technology performs predictive analytics on web content for users researching or tracking detailed topics on the web who are limited by the sparse input capability of current search tools. Using a machine learning technology core and other predictive analytics tools, the technology allows users to create predictive models based on exemplars of their interest such as articles and documents. Predictive models are mathematically patterned and pointed at the web. Results are presented to the user, with the ability to re-train the system as desired as well as create new models. This particular invention has the ability to connect users with similar interests by comparing their predictive models, thus facilitating collaboration and promoting social media interaction (“social clustering”).