Abstract: Aerial vehicles are assigned to routes within a transportation network based on a state of charge, state of power, and/or state of health for the aerial vehicle. Such aspects can be modeled based on one or more statistical models and/or machine-learned models, among other examples. As another example, an energy budget is used to ensure that the state of charge, state of power, and/or state of health of the aerial vehicle during and/or after traveling the route remains within the energy budget. A payload is assigned to a route and an associated aerial vehicle, thereby generating an itinerary. In examples, the itinerary is validated by the aerial vehicle to ensure that the aerial vehicle is capable of traveling the route with the payload. In examples where the aerial vehicle rejects the itinerary, the itinerary is assigned to another aerial vehicle and a new itinerary is identified for the aerial vehicle.

Abstract: A nasal pod assembly is disclosed that facilitates the insertion of a nasal filter pod into a user's nostril.

Abstract: A nasal pod is described for dispensing a compound such as asthma medication to air inhaled through the nose.

Abstract: A 3-dimensional (3D) nasal pod structure is described having a filter that fits in the nasal cavity to capture particles such as pollen, allergens, pollution particles present in air when breathing through the nose.