Abstract: Induced pluripotent stem cells are treated using a combination of compounds that improve competence of the induced pluripotent stem cells in responding to differentiation signals and/or improve the efficiency of differentiation of the treated induced pluripotent stem cells in differentiation towards a desired phenotype. The combination treatment can incorporate two or more of prolongation of early G1 phase, treatment with an interleukin, modulation of DNA methylation, modulation of histone acetylation, and activation of the Wnt pathway. Cells derived from induced pluripotent stem cells so treated can be used in regenerative therapy and production of organoids.

Abstract: A method of operating a machine learning model on a menu generation platform involves storing user modification for a menu generation platform comprising a menu generation algorithm, a food preference algorithm, a geofenced equivalence recommendations algorithm, and a behavior modification algorithm in a historical user interaction database. The method generates modification and optimization controls for the menu generation platform through operation of the machine learning algorithm configured by entries in the historical user interaction database and entries in a platform user interaction database. The method generates relevant suggestions and modifications for the menu generation algorithm, the food preferences algorithm, geofence equivalence algorithm, and behavior modification algorithm, displayable through a user interface.

Abstract: A method of operating a food preference algorithm involves retrieving a meal framework including at least one food component category from a meal framework database through operation of a meal selector configured by a preferences profile in a user profile, generating a meal profile including at least one food item retrieved from a food item database through operation of a food component selector configured by the meal framework and the preferences profile, operating a machine learning food preferences algorithm, and applying the updated food preferences control to the preferences profile.

Abstract: A method of operating a meal plan optimization algorithm involves retrieving at least one user profile from a profile database. A menu generation algorithm is configured with user preferences from the at least one user profile. A selector is configured to retrieve food items from at least one proximal food database for the menu generation algorithm from the user preferences. The menu generation algorithm may operate a meal target evaluator recursively, through operation of an iterator, to adjust and substitute meal components and then generate a meal day plan from the individual meals. A kcal target evaluator may be operated to adjust the portion size for the individual meals in the meal day plan. And a food menu for at least one day displayable through a user interface associated with the at least one user profile, from meal day plans may be generated through operation of a constructor.

Abstract: A method of operating a system for modifying behavior involves generating behavior adherence data from monitored behavior data, meal planning data, meal consumption (or food log) data, and planned activities data through operation of a behavior analyzer. Behavior adherence data is stored as historical user behavior in a controlled memory data structure. A behavior modifying notification is generated from demographic information, the behavior adherence data, the historical user behavior, health and behavior research data, biometric data, and location data from a user's mobile device, through operation of a machine learning algorithm. The behavior modifying notification is displayed through a display device of the mobile device, and the displayed behavior modifying notification is communicated to the behavior analyzer for generating the behavior adherence data.

Abstract: A method of generating geofenced equivalence recommendations for a menu generating system involves communicating spatiotemporal location for a user device from a user interface (UI) wizard at a geofenced equivalence recommendations algorithm, configuring the geofenced equivalence recommendations algorithm with user location preferences comprising a food source type parameter, a food source distance parameter, and proximal food preferences received from the UI wizard, identifying a geographic region and a geolocation from the spatiotemporal location through operation of the geofenced equivalence recommendations algorithm, configuring a food component selector with the geographic region, the geolocation, and the user location preferences to identify relevant proximal food databases, and configuring a menu generation algorithm with the geographic region, the geolocation, and the proximal food preferences to generate at least one spatiotemporal location based meal entry in a meal plan menu from the relevant proxi

Abstract: Methods and systems for providing multiple funding sources for health insurance and other approved healthcare expenses to full-time, hourly, part-time, seasonal, and temporary employees. Healthcare contributions for a single employee or for multiple workers in a family from more than one employer are placed in trust accounts established under separate Health Reimbursement Arrangements (HRAs) by each employer for use in paying qualified medical expenses of the employee and/or the employees' family. Each employer agrees to create HRAs for eligible employees and sends eligible employee data to a financial administrator. A trust account is created to hold the employer contributed HRA funds for the eligible employees. The eligible employees select a healthcare insurance policy, the premiums for which are paid out of each employee's HRA. The employee retains the HRA even if the employee's employment with the funding employer is terminated.

Abstract: Under one aspect of the invention, a reconfigurable, transportable container assembly is provided. Side panels are releasably interconnected with each other and combine with a base panel, and a top panel releasably mates with the side panels. The top panel is combined with the side panels and the base panel to form a transport configuration that defines a closed, transportable, collapsible container, and that is reconfigurable to a nontransport configuration that defines a substantially stationary structure different from the transport configuration. Embodiments can include deployable wheel assemblies and extendible jack assemblies connect to the base panel. It is emphasized that this abstract is provided to comply with the rules requiring an abstract. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims (37 C.F.R. 1.72(b)).

Abstract: A personnel decontamination and containment system is disclosed. This system includes a plurality of components positionable on a selected location for establishment of a multi-station decontamination and containment facility to decontaminate personnel and to contain contaminants collected during the decontamination process. The components can include a plurality of collapsible frame and roof assemblies, wall and roof covers, a weapons clearing assembly, a weapons storage locker, a hanging bar, a signage assembly, collapsible containment hamper assemblies, a covered dispensing assembly, a shuffle box, a multi-wipe dispensing assembly, and a transportable containment enclosure. The enclosure is shaped and sized to removably retain the system's components for transportation or the like.