Systems and methods for executing instructions for executing a virtual reality (VR)-based fire response simulation method for secondary battery production are disclosed. One method includes receiving a gaze direction and gaze location of a user identified from a head mounted display (HMD). Fire response content associated with a secondary battery production apparatus corresponding to the received gaze direction and gaze location is displayed on an area of a display of the HMD. The fire response content includes a plurality of fire response scenarios. User behavior information indicating a motion of the user determined from at least one of the HMD or a controller associated with the HMD is obtained. The fire response content associated with the secondary battery production apparatus is executed based on the obtained user behavior information.

A system and method for artificial intelligence (AI) based skill tracking and non-fungible token (NFT) based skill/behavior representation are provided. The system acquires information associated with a non-tangible asset of a user in an online environment, apply an artificial intelligence (AI) model on the acquired information, wherein the AI model is trained to evaluate the non-tangible asset and track a progress of acquisition of the non-tangible asset in the online environment. The system determines a proficiency level of a plurality of proficiency levels of the non-tangible asset of the user based on the application of the AI model on the acquired information. The system assigns, based on the determined proficiency level of the non-tangible asset of the user, a value to a digital token associated with the user. The digital token may include a non-transferable part unique to the user and a fungible part that may be exchangeable across platforms.

The mentorship integrated platform is a subscription based social media process/Standalone Product/Mobile App. The mentorship integrated platform supports a plurality of clients. The plurality of clients are organized into a plurality of mentees and a plurality of mentors. The mentorship integrated platform matches a mentee with a mentor. The mentorship integrated platform introduces the mentee to the mentor. The mentorship integrated platform supports a relationship between the mentee and the mentor. The mentorship integrated platform evaluates the relationship between the mentee and the mentor. The mentorship integrated platform includes an identification process, a match process, a mentoring process, an opportunity analysis process, a relationship evaluation process, and an identification process.

A method and model for sustainable leadership development, premised on the sustainable-unsustainable leadership theory (SULT) is set forth herein to intervene in the phenomenon of leadership failure and associated crises. Empirical evidence of leadership failure longitudinally, demonstrated a need for a paradigm shift for leadership. Unnecessary war-related deaths and expenditures, scandals, and other harms to people are unsustainable. The method and model supported by leadership's grand theory, is underpinned by a 3-year exploratory sequential mixed methods study. A theory emerged during theoretical sampling and constant comparative analysis of interviews from six continents, giving rise to the aphorism leadership in the absence of moral action is unsustainable. Random sampling from 2,523 global cases, analyzing 2,191 in a quantitative phase, showed statistically significant association between unethical leadership action (ULA) and unsustainable leadership outcomes (ULO), .sup.2 (1, N=2,191)=119.643, p<0.001. There was relatively strong association between the variables.

Provided are a method for generating a fishing track, a mobile terminal, and a storage medium. The method includes the steps described below. A first position of a user and a second position of at least one fishing area are acquired. A target fishing area in which the user is located is determined from the at least one fishing area according to the first position and the second position. A fishing track is generated according to the first position and a third position of the target fishing area.

A non-transitory computer readable medium stores at least one database (30) storing clinical competency framework profiles (32) for clinical competencies for a plurality of clinicians at a plurality of medical facilities; and instructions readable and executable by at least one electronic processor (16) to perform a learning activities recommendation method (100) comprising: linking educational content units (38) completed by clinicians to clinical competencies of the clinical competency framework profiles that are fulfilled by the completed learning activities; correlating clinical competency frameworks of different medical facilities that are for the same or similar clinical competencies in the clinical competency framework profiles; and recommending one or more of the educational content units to a clinician seeking to fulfill a clinical competency in one clinical competency framework based on the correlated clinical competency frameworks and the linked educational content units.

A method, computer system, and computer program product are provided for managing reports. A subset of data fields is identified for inclusion in a new report. An intent of the new report is determined based on the subset of data fields. The intent is determined using a set of machine learning models trained from a set of existing reports and a taxonomy of human capital management (HCM) information. Based on the intent determined by the artificial intelligence system, a set of additional fields is predicted for the new report. The set of the additional fields is displayed in a graphical user interface on a display system.

A method includes processing computer readable code as the computer readable code is being written in a development environment to identify at least one error in the computer readable code. The method also includes searching a database for user profile information indicative of a training sequence performed by a user and a competence level assigned to the user. The competence level is based on a quantity of tasks included in the training sequence performed by the user free from error. The method also includes causing a graphical user interface to be displayed. The graphical user interface includes a concurrent display of the computer readable code having the at least one error, a preview of the computer readable code free from having the at least one error, and a remediation suggestion to correct the at least one error in the computer readable code based on the competence level.

The systems and methods described herein provide for predictions of employee attrition within an enterprise. In one embodiment, the system connects to one or more internal data sources within the enterprise and one or more external data sources outside of the enterprise, receiving internal feed data from the internal data sources and external feed data from the external data sources, the internal feed data relating to a number of employees. The system then determines, based on at least the internal feed data, a number of attrition risk factors for the employees; receives LMS data corresponding to training courses being offered; generates one or more training course recommendations for the employees; and presents the training course recommendations to one or more client devices.

A system enables users with an actionable pathway that supports personal agency in the identification and pursuit of hopes and dreams regarding their career. The system provides individualized recommendations of activities to pursue, college subjects to major in, which college to attend, and what career pathways to explore. In so doing, it maximizes their strengths, introduces them to unknown paths or careers, helps the user address personal shortcomings or weaknesses, and helps the user leverage structural systems to help ladder up.