Abstract: A method including generating, by a navigation service, a route for navigating from a route origin to a route destination using a private roads repository. The method includes identifying a ghost origin and a ghost destination of a ghost road along the route. The method includes sending, using an application programming interface of a base roads engine, a first request for a route from the ghost origin to the ghost destination. The method includes receiving, from the base roads engine in response to the first request, a replacement section from the ghost origin to the ghost destination. The method includes replacing, in the route, the ghost road with the replacement section to create an updated route including segments. The method includes generating an estimated travel time from the route origin to the route destination over the segments of the updated route. The method includes presenting the estimated travel time.

Abstract: A method for rapid region wide production forecasting includes identifying base data of a well in a plurality of wells of a region; selecting, using the base data and from a set of a models comprising a rich machine learning model, a location based machine learning model, and a decline curve model, a well model; and generating, based on the selecting, a forecasted production of the well using the base data and the well model. The method further includes aggregating a plurality of forecasted productions of the plurality of wells, the plurality of forecasted productions including the forecasted production, to generate a region forecast using the rich machine learning model, the location based machine learning model, and the decline curve model; and presenting the region forecast.

Abstract: A method includes receiving data where the data include data for a plurality of factors associated with a plurality of wells; training a regression model based at least in part on the data and the plurality of factors; outputting a trained regression model; and predicting production of a well via the trained regression model.

Abstract: A method includes receiving data where the data include data for a plurality of factors associated with a plurality of wells; training a regression model based at least in part on the data and the plurality of factors; outputting a trained regression model; and predicting production of a well via the trained regression model.

Abstract: A porous hydrogel sensor that is responsive to the presence of one or more target compounds in solution is synthesized based on demixing of certain molecules in the presence of a target compound. The porous hydrogel sensor may include fluorescently tagged antibodies that are noncovalently bound to the gel and then released in the presence of the target antigen. The porous hydrogel sensor may alternatively include dissolvable cross-links using polymerized antibody and antigen complexes so that, in the presence of the target antigen, the cross-links will be displaced and the hydrogel will dissolve.

Abstract: A system and method for using gradient nanotopography to increase mammalian cell attachment and cell confinement on surfaces. A surface platform consisting of a thin film of gold possessing a gradient of topography on the surface and self-assembled monolayers of alkanethiols presenting desired functional groups is formed. A gradient in the chemical properties is induced in the terminal groups of the monolayer because of the continuous increase in the surface area and the anisotropy of gold film structure. The gradient nanotopraphy provides simultaneous control of two key properties, the presentation of the terminal functional groups and a continuous increase in the surface density of functional groups on the surface. This control provides for drug screening assays using adherent cell-based experiments.

Abstract: ABSTRACT A system and method for using gradient nanotopography to increase mammalian cell attachment and cell confinement on surfaces. A surface platform consisting of a thin film of gold possessing a gradient of topography on the surface and self-assembled monolayers of alkanethiols presenting desired functional groups is formed. A gradient in the chemical properties is induced in the terminal groups of the monolayer because of the continuous increase in the surface area and the anisotropy of gold film structure. The gradient nanotopraphy provides simultaneous control of two key properties, the presentation of the terminal functional groups and a continuous increase in the surface density of functional groups on the surface. This control provides for drug screening assays using adherent cell-based experiments.