Abstract: A humidification system can include a heater base, a humidification chamber, and a breathing circuit. A cartridge can be removably coupled to the heater base. The cartridge can include various sensors, probes, sensor wire connectors, heater wire connectors, and/or other features. The cartridge can include features configured to mate with corresponding features on the humidification chamber and the heater base. The cartridge includes a memory, such as an EEPROM, or other suitable storage device. When the cartridge is installed on the heater base, the memory is electrically connected to a processor and/or memory of the heater base. Various models of cartridges can be produced for use with different humidification chambers, breathing circuits, and/or therapies. A connector can be configured to couple an inspiratory conduit to an outlet port of the humidification chamber. The connector can provide a pneumatic connection to the outlet port and an electrical connection to the cartridge.

Abstract: In at least on embodiment, a job application workflow system and method utilize a dynamic workflow engine to automatically and dynamically modify job application workflow to modify generation and presentation of a job application to a job applicant for a job with a job provider. The system and method respond to data input by the job applicant to dynamically modify a job application workflow in accordance to a set of rules. In at least one embodiment, the rule sets are of multiple types, such as general rules and job application specific rules, configured by multiple entities, such as a job provider and a job application host. This set of rules provided by the job provider and host for automatically generating the job application may be supplemented with conditions or additional rules previously set forth in the system.

Abstract: A method, apparatus, system, and computer program code for digitally presenting a comparison of labor resource allocations between organizations. A computer system identifies employee data for a set of employees. The employee data includes job titles, and job descriptions. Using a set of machine learning models, the computer system extracts skills data from the job descriptions. Based on the skills data extracted from the job descriptions and using the set of machine learning models, the computer system maps the job titles to normalized titles within a job taxonomy that governs relationships between business functions, subfunctions, and the normalized titles. The computer system determines a resource allocation for an organization over each of the normalized titles. The computer system generates a granular comparison of the granular resource allocation to a set of benchmark allocations. The computer system digitally presents the granular comparison in a graphical user interface.

Abstract: A system for declaration of imported and exported equipment includes a plurality of client computers (1) located at a factory plant floor, a central server (2) located remotely from the factory plant floor, a customs server (4) located in a customs authority, and a web server (3). A user working at a client computer prepares electronic requisition notes needed to perform declaration tasks, and submits the electronic requisition notes to the central server via an intranet for verification. A user working at the central server prepares electronic documents needed for performing declaration tasks based on the verified electronic requisition notes, and transmits the electronic documents via an electronic communications network (5) to the customs server for examination. A customs officer examines the electronic documents. The customs server generates documentary authorization, and transmits the documentary authorization to the central server for storing.