Abstract: A computing system receives, from a user device, a request to generate an estimated activity profile for a user of the user device for a workout. The computing system identifies route information for the workout. The computing system generates, via a trained prediction system, an initial estimated heartrate for the user based on a personalized training process for the user. The computing system generates, via the trained prediction system, a duration of a portion of the workout based on the route information and environmental information associated with a time and day of the workout. The computing system generates, via the trained prediction system, a projected heartrate of the user during the workout based on the initial estimated heartrate of the user and the generated duration. The computing system outputs the estimated activity profile corresponding to the workout based on the projected heartrate of the user.

Abstract: An object of the invention is to provide a method of treating biological cells prior to subjecting the biological cells to cell fusion pulses which includes the step of treating the biological cells with pre-fusion electric field waveforms which change amplitude in a non-linear way with respect to time, such that the biological cells are first aligned with a relatively low amplitude, long duration pre-fusion electric field waveform and then compressed with a relatively high amplitude, short duration pre-fusion electric field waveform resulting in increased cell membrane contact prior to being subjected to cell fusion. The non-linear pre-fusion electric field waveforms can change in a stepped way, in a continuous way, in a sigmoidal way, with step-wise increasing waveforms in adjacent steps, with step-wise increasing waveforms in non-adjacent steps, and in accordance with non-linear algorithms.