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Food socialization is the process of influences that forms children's eating habits and preferences, affecting their well-being for life. The authors' study explores what children and adolescents eat and how they obtain food at school, aiming to describe the deleterious food socialization phenomenon. The authors focused on understanding how deleterious food socialization influences children's food well-being within the school environment.

The authors developed a mixed methodology using structured questionnaires with open and closed questions. The authors also took pictures of the schools' canteens, which allowed deepening the understanding of the school environment. The data collection occurred in two Brazilian private schools. The schools' teachers were responsible for collecting 388 useful questionnaires from students between 10 and 14 years old.

The authors found statistically significant differences between food originating at home and school. The amount of ultra-processed foods and beverages consumed at home and taken by children and adolescents from home to school is smaller than what they buy in the school canteen or get from their colleagues. Thus, the authors suggest that the school environment tends to be more harmful to infant feeding than the domestic one.

This study coins the concept of deleterious food socialization: situations or environments in which the food socialization process negatively impacts one's well-being. The authors' results illustrate the deleterious food socialization phenomenon in the school environment.

This paper aims to simulate vital corrective actions (CAs) affecting system availability through a system dynamics approach based on the results obtained by analyzing the causal relationships among failure modes and effects analysis elements.

A stock and flow diagram has been developed to simulate system behaviors during a timeframe. Some improvement scenarios regarding the most necessary CAs according to their strategic priority and the possibility of eliminating root causes of critical failure modes in a roller-transmission system have been simulated and analyzed to choose the most effective one(s) for the system availability. The proposed approach has been examined in a steel-manufacturing company.

Results indicated the most effective CAs to remove or diminish critical failure causes that led to the less reliability of the system. It illustrated the impacts of the selected CAs on eliminating or decreasing root causes of the critical failure modes, lessening the system’s failure rate and increasing the system availability more effectively.

Results allow managers and decision-makers to consider different maintenance scenarios without wasting time and more cost, choosing the most appropriate option according to system conditions.

This study innovation would be the dynamic analysis of interactions among failure modes, effects and causes over time to predict the system behavior and improve availability by choosing the most effective CAs through improvement scenario simulation via VENSIM software.