Abstract: A method, system, and predictive model that incorporate various sources of unrelated sediment data and water body data to determine the rate of sediment phosphorus release. This method, system, and/or model can be fine-tuned to enhance the accuracy of predictions by providing feedback data of measured phosphorus release. This method, system, and/or model can be used to assess the effectiveness of various strategies to suppress sediment phosphorus release and these predictions can also be fine-tuned by providing feedback data of measured effectiveness of these strategies in real world treatments or laboratory studies. In one embodiment, this model includes the calculation of coefficients related to the release of different forms of sediment phosphorus to create indices of phosphorus release in a water body.

Abstract: The present disclosure is directed to resins and to polymers, copolymers, and blends formed therefrom.

Abstract: The present disclosure is directed to resins and to polymers, copolymers, and blends formed therefrom.

Abstract: Managing the amount of computing resources required to execute a process for determining values of a parameter associated with an object over a lifetime of the object is disclosed here. In one example, a data structure is generated. The data structure including candidate values for the parameter that comply with constraints assigned to multiple dates occurring during the lifetime of the object. The data structure is pruned by aggregating actionable periods. A first combination of candidate values associated with the aggregated actionable periods is determined that results in the minimum amount of the object being provided to the users during the lifetime. A second combination of candidate values associated with the aggregated actionable periods is determined that satisfies a return objective. The second combination of values are usable by a remote computing device to implement a value schedule for the object.

Abstract: Managing the amount of computing resources required to execute a process for determining values of a parameter associated with an object over a lifetime of the object is disclosed here. In one example, a data structure is generated. The data structure including candidate values for the parameter that comply with constraints assigned to multiple dates occurring during the lifetime of the object. The data structure is pruned by aggregating actionable periods. A first combination of candidate values associated with the aggregated actionable periods is determined that results in the minimum amount of the object being provided to the users during the lifetime. A second combination of candidate values associated with the aggregated actionable periods is determined that satisfies a return objective. The second combination of values are usable by a remote computing device to implement a value schedule for the object.

Abstract: The present disclosure is directed to resins and to polymers, copolymers, and blends formed therefrom.

Abstract: The present disclosure is directed to resins and to polymers, copolymers, and blends formed therefrom.

Abstract: The present disclosure is directed to resins and to polymers, copolymers, and blends formed therefrom.