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Advanced Integral Digitalization (AID) aims to liaise with universal interface, aggregate intelligent browsing around Anything-as-a-Service (XaaS), and engage with user-centric experience throughout digital archiving and transformed analytics (DATA). AID-to-DATA proposes a panel tutorial in a CIA triad framework with ease to Contextual expression, Interactive engagement and Accessible emergence from wiseCIO. The AID promotes a CIA triad framework for ACTiVE applications with contextuality that promotes universal (user) interface design (with little coding), interactivity that engages with user-centric experience, and accessibility to archival content management and delivery (ACMD) via machine learning automaton (without coding). With AID, we have developed a set of hybrid online courseware utilized in hands-on learning throughout tutorial sessions. Case studies through XaaS have been explored and exploited with DATA over broad fields, such as ARM (archival repository for manageable accessibility), BUS (biological understanding from STEM), DASH (deliveries assembled for fast search & hits), DIGIA (digital intelligence governing instruction and administration), HARP (historical archives & religious preachings), MATH (mathematical apps in teaching and hands-on exercise), and SHARE (studies via hands-on assignment, review/revision and evaluation). The AID not only promotes interactivity among tri-parties (such as developer, user and computer) but also prompts spontaneity for the user’s patience and passion for their subjects (such as researchers & developers, instructors and students, and librarians as well). As a result, AID propels integral DATA to propagate student users to retain the knowledge conveyed with a known attendance rate increase from 50% to 90%. This proposed tutorial will share educational excellence emerging from wiseCIO. The AID-to-DATA combination plays a key role in hybrid online courseware that fosters learners’ patience and passion with AWE -- Appreciation for knowing what to learn, Wonderment at how to be excellent, and Excelling through their studies. Online Proposal/Paper: https://drive.google.com/file/d/1Z04TREovNtBncFZtp_aRcVp9cvQ2irt0/view?usp=sharing

The purpose of this project is to quantitatively investigate vaccination strategies to prevent measles epidemics. A disease model which incorporates susceptible, vaccinated, infected, and recovered populations (SVIR) is used to investigate the process of how an epidemic of measles can spread within a closed population where a portion of the population has been vaccinated. The model is used to predict the number of infections and resulting reproductive number for the measles based on a variety of initial vaccination levels. The model is further used to investigate the concept of herd immunity, which states that if a certain percentage of the population is vaccinated then it will provide protection for the entire population. Results generated from these modeling efforts suggest that approximately 95\% of the population should be vaccinated against the measles in order to establish a herd immunity.