Abstract: Glucose measurement and glucose-impacting event prediction using a stack of machine learning models is described. A CGM platform includes stacked machine learning models, such that an output generated by one of the machine learning models can be provided as input to another one of the machine learning models. The multiple machine learning models include at least one model trained to generate a glucose measurement prediction and another model trained to generate an event prediction, for an upcoming time interval. Each of the stacked machine learning models is configured to generate its respective output when provided as input at least one of glucose measurements provided by a CGM system worn by the user or additional data describing user behavior or other aspects that impact a person's glucose in the future. Predictions may then be output, such as via communication and/or display of a notification about the corresponding prediction.

Abstract: A system for introducing air into a slurry in a flue gas desulphurization process includes a stationary lance and an impeller. The lance include an outlet portion and a vane assembly. The outlet directs air away from the impeller. The vane assembly may produce turbulence and may convert a portion of the swirling flow from the impeller into longitudinal flow.

Abstract: An improved anchor having a shank and, pivotally connected thereto, a head consisting of a generally flat, arcuate body, a pair of flukes attached to the body and extending laterally from a plane of the shank and body, and a bottom penetrating nose portion, has the further features of the body and shank having a narrowed lead edge and the material of the shank and body being disposed in rectangular cross-sections having substantial ratios of height to thickness. The shank and body of the anchor thereby have a thin lead edge profile to facilitate passage of the anchor through a bottom surface to burrow into the bottom, and the shank has broad side surfaces to resist anchor dislodgement under side forces.