The current study examined the relationships between the specific strategies that preschool children use to regulate their emotions and childhood weight status to see if emotion regulation strategies would predict childhood weight status over and above measures of eating self-regulation. 185 4- to 5-year-old Latino children were recruited through Head Start centers in a large city in the southeastern U.S. Children completed both a delay of gratification task (emotion regulation) and an eating in the absence of hunger task (eating regulation). Eating regulation also was assessed by maternal reports. Four emotion regulation strategies were examined in the delay of gratification task: shut out stimuli, prevent movement, distraction, and attention to reward. Hierarchical linear regressions predicting children’s weight status showed that both measures of eating regulation negatively predicted child obesity, and the use of prevent movement negatively predicted child obesity. Total wait time during the delay of gratification tasks was not a significant predictor. The current findings are consistent with studies showing that for preschool children, summary measures of emotion regulation (e.g., wait time) are not concurrently associated with child obesity. In contrast, the use of emotion regulation strategies was a significant predictor of lower child weight status. These findings help identify emotion regulation strategies that prevention programs can target for helping children regulate their emotions and decrease their obesity risk.

A multilevel growth modeling analysis will be employed to consider the nested nature of the data: time points (level 1) within families (level 2) within trials (level 3).

Nuclear power has a crucial role in providing safe, reliable, and economical carbon-free electricity for today and the future. For continued operation, many of the existing United States nuclear power plants will begin the subsequent license renewal process for extending their operating license periods. As plants extend their expected operating lifetimes, there is a significant opportunity to modernize. These plants have a much stronger business case with these extended mission periods to modernize and significantly enhance their economic viability in current and future energy markets by implementing digital technologies that support innovation, efficiency gains, and business-model transformation.Ensuring continued safety and reliability is crucial. Transformative digital technologies-including automation-that fundamentally change the concept of operation for the nuclear power plant operating models requires a critical focus on the human-technology integration element. Further, the nuclear industry has historically been reluctant to modernize due to a risk-adverse culture and lack of clarity for a transformative new-state vision. Common barriers include the perceived value and return on investment of digital technology; the perceived risk associated with licensing, regulatory, and cybersecurity; and insufficient guidance for performing digital modifications to power generation systems.This work presents a methodology to address these barriers and support the industry in adopting advanced automation and digital technology through developing a transformative vision and implementation strategy that will address the human-technology integration element. This research leverages previous Light Water Reactor Sustainability (LWRS) Program and industry results. It draws specifically on previous LWRS Program research in the areas of advanced alarm systems, computer-based procedures, model-informed decision support, and advanced human-system interface displays (e.g., overviews and task-based). The modernization methodology can be used to guide transformative thinking when integrating a set of vendor-specific capabilities to support a new concept of operations and a utility's end-state vision.The results of this research are organized into six major sections: − Section 1 introduces the need for supporting large-scale digital modifications that will renew the technology base for extended operating life beyond 60 years.− Section 2 describes the challenges that the nuclear industry is enduring with modernizing.− Section 3 summarizes the primary standards and guidance.− Section 4 presents earlier work from the LWRS Program regarding the development of a transformative conceptual design for an advanced control room of a hybrid plants.− Section 5 presents a methodology that is designed to address the challenges in the industry today in achieving a transformative newstate vision and concept of operations.

The Control Room Modernization (CRM) research effort is a part of the Light-Water Reactor Sustainability (LWRS) Program, which is a research and development program sponsored by Department of Energy (DOE) and performed in close collaboration with industry research and development programs that provides the technical foundations for licensing and managing the long-term, safe, and economical operation of current nuclear power plants. One of the primary missions of the LWRS program is to help the U.S. nuclear industry adopt new technologies and engineering solutions that facilitate the continued safe operation of the plants and extension of the current operating licenses. This report describes the background and technical basis for an end-state vision design philosophy for and advanced hybrid control room.

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