Abstract: The disclosed embodiments include computer-implemented systems, apparatuses, and processes that, among other things, automatically generate and populate digital interfaces based on adaptively processed image data captured by a network-connected device operating within a computing environment. For example, an apparatus may receive, from a device, a first signal that includes image data identifying a document associated with a data exchange capable of initiation by the device. The apparatus may detect, within a first portion of the image data, a presence of first textual content associated with a first parameter of the data exchange, extract a first value characterizing the first parameter from the first textual content, and generate and transmit a second signal that includes the first value to the device. The second signal includes information that instructs the device to display the first value within a portion of an interface corresponding to the first parameter.

Abstract: A computer system for monitoring progress of at least one learner through an experiential learning cycle, the computer system comprising: a computer server accessible through a communications network, the computer server arranged to receive event data through the communications network from a user computing device, the event data being generated by the at least one learner progressing through the experiential learning cycle; a memory for storing empirical data indicative of the experiential learning cycle and event data received at the computer server through the communications network; and a processor configured to process the received event data and comparing the processed event data with the empirical data to determine the progress of the at least one learner through the experiential learning cycle.

Abstract: A computer system for monitoring progress of at least one learner through an experiential learning cycle, the computer system comprising: a computer server accessible through a communications network, the computer server arranged to receive event data through the communications network from a user computing device, the event data being generated by the at least one learner progressing through the experiential learning cycle; a memory for storing empirical data indicative of the experiential learning cycle and event data received at the computer server through the communications network; and a processor configured to process the received event data and comparing the processed event data with the empirical data to determine the progress of the at least one learner through the experiential learning cycle.

Abstract: Described herein is an incontinence treatment system and method of use. In certain embodiments the incontinence treatment system comprises a rear incontinence member capable of being releasably coupled to a front incontinence member. For example, in one certain embodiment the rear incontinence member includes a rear absorbent region, a rear outer layer coupled to the rear absorbent region, and a plurality of coupling members. The front incontinence member typically includes a front absorbent region and a front outer layer coupled to the front absorbent region, a support material being disposed around at least a portion of the front absorbent region, and one or more coupling regions being configured and arranged to engage at least a portion of the plurality of coupling members to couple the rear incontinence member to the front incontinence member.

Abstract: A computer system for monitoring progress of at least one learner through an experiential learning cycle, the computer system comprising: a computer server accessible through a communications network, the computer server arranged to receive event data through the communications network from a user computing device, the event data being generated by the at least one learner progressing through the experiential learning cycle; a memory for storing empirical data indicative of the experiential learning cycle and event data received at the computer server through the communications network; and a processor configured to process the received event data and comparing the processed event data with the empirical data to determine the progress of the at least one learner through the experiential learning cycle.