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  6. Frontal polymerization (FP) is a promising alternative manufacturing method for thermoset-based fiber-reinforced polymer composites (FRP) in comparison with the traditional autoclave/oven-curing method, due to its rapid curing process, low energy consumption, and low cost. Optimizing the weight contents of initiators relative to the resin’s mass is needed to adjust the mechanical properties of FRPs in industrial applications. This study investigates the effect of varying the photo-initiator (PI) weight content on tensile properties and the frontal polymerization characteristics, including the front velocity, front temperature, and degree of cure, in the FP process of the epoxy resin. Specifically, a dual-initiator system, including PI and thermal-initiator (TI), is used to initiate the polymerization process by ultraviolent (UV) light. The weight content of the TI is fixed at 1 w%, and the relative PI concentration is varied from 0.2 w% to 0.5 wt%. Results show that increasing the PI amount from 0.2 wt% to 0.3 wt% significantly improves the front velocity and the degree of cure by about two times. Increasing the PI content from 0.3 wt% to 0.4 wt% results in 15% and 26% higher degree of cure and front velocity, respectively. Moreover, due to the different front velocity in the top and bottom regions of the specimen, the specimens with 0.4 wt% PI exhibited a curved shape. The specimen with 0.5 wt% PI is thermally degraded and foamed. By comparing tensile properties, it is found that increasing the PI concentration from 0.2 wt% to 0.3 wt% improves the tensile strength and Young’s modulus by 3.91% and 7%, respectively, while the tensile strength and the Young’s modulus of frontal polymerized specimens are on average 8% and 14% higher than traditionally oven-cured ones, respectively. 
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  7. Description of the development and use of a dynamic portal for supporting an alliance of colleges and universities focused on supporting students with disabilities and transitioning to careers in science and technology. Called SOAR, the portal is designed to support separate institutes achieve collective impact through shared measures. Significant aspects of SOAR are the user-driven design with three different communication roles, dynamic generation of survey forms, the ability to schedule surveys, collecting data through the surveys, and data presentation through dynamic chart generation. SOAR utilizes and advances the best practices of Universal Access and is central to the alliance’s ability to empower individuals with disabilities to live their best lives. One of the most interesting features is the ability for different institutes to customize their forms and collect campus-relevant data that can be changed and the application of machine learning to produce the dynamic chart generation. SOAR allows the alliance to meet individual campus needs and the reporting and evaluation needs of the National Science Foundation. 
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