Abstract:
A computationally implemented method includes, but is not limited to: detecting deviation from a compliant execution of a template by an end user, the template designed to facilitate the end user to achieve one or more target outcomes when one or more emulatable aspects included in the template are emulated, the one or more emulatable aspects being based on one or more relevant reported aspects of one or more source users that are relevant to achieving the one or more target outcomes; and executing one or more actions in response to the detecting of the deviation In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.
Abstract:
A computationally implemented method includes, but is not limited to: providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors; and developing one or more templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more templates are emulated, the development of the one or more templates being based at least on a portion of the one or more reported aspects In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.
Abstract:
A computationally implemented method includes, but is not limited to: providing one or more reported aspects associated with one or more source users that were originally reported by one or more sensors; and developing one or more templates designed to facilitate one or more end users to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more templates are emulated, the development of the one or more templates being based at least on a portion of the one or more reported aspects In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.
Abstract:
A computationally implemented method includes, but is not limited to: identifying one or more relevant reported aspects associated with one or more source users that are relevant to achieving one or more target outcomes, the identifying of the one or more relevant reported aspects being based, at least in part, on the one or more relevant reported aspects' relevancy with respect to the one or more target outcomes; and developing one or more personalized plans designed to facilitate an end user to achieve the one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the development of the one or more personalized plans being based, at least in part, on the identifying In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.
Abstract:
A computationally implemented method includes, but is not limited to: receiving a request for one or more personalized plans designed to facilitate an end user to achieve one or more target outcomes when one or more emulatable aspects indicated by the one or more personalized plans are emulated, the request identifying the one or more target outcomes; seeking one or more reported aspects that are relevant to achieving the one or more target outcomes in response to receiving the request; and developing the one or more personalized plans based, at least in part, on the seeking. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.
Abstract:
A computationally implemented method includes, but is not limited to: receiving a request for a personalized plan designed to facilitate an end user to achieve one or more target outcomes when one or more emulatable aspects indicated by the personalized plan are emulated, the request identifying at least a source user; acquiring source user data indicating a plurality of reported aspects associated with at least the source user in response to receiving the request; and developing the personalized plan by at least determining which of the plurality of reported aspects associated with the source user are relevant to the achievement of the one or more target outcomes. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.
Abstract:
A computationally implemented method includes, but is not limited to: receiving a request for a personalized plan designed to facilitate an end user to achieve one or more target outcomes when one or more emulatable aspects indicated by the personalized plan are emulated, the request identifying at least a source user; acquiring source user data indicating a plurality of reported aspects associated with at least the source user in response to receiving the request; and developing the personalized plan by at least determining which of the plurality of reported aspects associated with the source user are relevant to the achievement of the one or more target outcomes. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.
Abstract:
A system and method to control the writing on electronic paper (e-paper). An e-paper device may incorporate authentication indicia as part of informational data written on e-paper material. The informational data is protected by a security methodology that is accessible to authorized entities. A reader device may be used to help make a verification determination of whether encrypted or encoded data has been altered. In some instances an output alert operably coupled to the reader device serves as a verification status indicator.
Abstract:
A first device may include and/or involve at least one contact sensor, and logic to facilitate pairing between a second device and a third device as a result of contact between the contact sensor and at least one of the second and third devices.