“One of the baddies all along” : Moments that challenge a player’s perspective

Reflection has become a core interest for game designers. However, empirical research into the kinds and causes for reflection within games is scarce. We therefore conducted an online questionnaire where participants (n=101) openly reported perspective-challenging moments within games, their causes, experience, and impact. Where past work has emphasised transformative reflection that changes player’s views and behaviour outside the game, we found that players report predominantly moments of ‘endo’-transformative reflection, which is focused on players’ game-related behaviour and concepts. We further identify some causes of perspective-challenging moments relating to narrative, game systems, game-external sources, and player expectations. Narrative reveals emerge as a key cause of perspective challenge

Radiological assessment on spent resin treatment facility and transportation for radioactive waste disposal

Several radionuclides including tritium generated in heavy-water reactor nuclear power plants are managed through ion-exchange resins, and these spent resins are then stored in storage tanks. To maintain the capacity of the storage tanks, the waste sludge should be treated using appropriate methods. Dose assessments are conducted to ensure radiological safety during the treatment and disposal of the spent resin. In this study, it is performed that a radiological evaluation of the operation of spent-resin waste treatment facilities and transportation of the radioactive waste???in a polymer concrete high-integrity container (PC-HIC) for spent resin disposal???of Wolseong Nuclear Power Plant, a heavy-water reactor nuclear power plant in Korea. Radiation workers using the spent resin treatment equipment, as well as radiation workers transporting PC-HIC to the disposal site and public spaces in the transportation route, were considered in the evaluation. The maximum dose received by radiation workers was 11.2 mSv, which is below the annual average dose limit of 20 mSv/year. Doses were below the limit at all routes, objects, and sampling locations. For waste truck drivers, the individual dose was 6.10E-03 mSv, which is also below the driver dose limit of 6 mSv. The treatment and disposal of the spent resin operations are performed while maintaining the individual doses below the dose limits set for the practices

Predicting The Occurrence of Weather And Volume Related Ground Delay Program

Traffic Management Initiatives (TMI) such as Ground Delay Programs (GDP) are instituted by traffic management personnel to address and reduce the impacts of constraints in the National Airspace System. Ground Delay Programs are initiated whenever demand is projected to exceed an airport’s acceptance rate over a lengthy period of time. Such instances occur when an airport is affected by conditions such as inclement weather, aircraft congestion, runway-related incidents, equipment failures, and other causes that do not fall in these categories. Over the years, efforts have been made to reduce the impact of Ground Delay Programs on airports and flight operations by predicting their occurrence. However, these efforts have largely focused on weather-related Ground Delay Programs, primarily due to a lack of access to comprehensive Ground Delay Program data. There has also been limited benchmarking of Machine Learning algorithms to predict the occurrence of Ground Delay Programs. Consequently, this research 1)fused data from the Traffic Flow Management System (TFMS), Aviation System Performance Metrics (ASPM), and Automated Surface Observing Systems (ASOS) datasets, and 2) leveraged supervised Machine Learning algorithms to develop prediction models as a means to predict the occurrence of weather and volume-related Ground Delay Programs. The Kappa Statistic evaluation metric revealed that Boosting Ensemble was the best suited algorithm for predicting the occurrence of weather and volume-related Ground Delay Programs