Abstract: A method for predicting a hypoglycemic event or a hyperglycemic event includes (a) collecting one or more data streams, wherein at least one of the one or more data streams includes a glucose (GL) data stream corresponding to a user, (b) determining one or more features based on the one or more collected data streams, wherein at least one of the one or more features is distinct from each of the one or more data streams, (c) generating a prediction of whether or not a hypoglycemic event or a hyperglycemic event will occur by a prediction model based on the one or more features determined at (b), and (d) issuing an alert to the user in response to the prediction generated at (c) including a prediction that a hypoglycemic event or a hyperglycemic event will occur.

Abstract: The present method relates to molding metal particles by forming a flowable mixture. The metal particles are mixed with a polyorganic acid which chemically reacts with the metal particles. The flowable mixture is transferred to a mold before the chemical reaction between the metal particles and the polyorganic acid proceeds so far as to substantially increase the viscosity of the flowable mixture. A green preform is created by applying pressure to the mixture in a mold. The green preform is heated to a first temperature to vaporize substantially all of the non-organic components of the reacted polyorganic acid from the preform. The preform is then heated to a second temperature greater than the first temperature to sinter the metal particles.