Introduction: The COVID-19 pandemic had significant impacts on youth health and well-being. Youth with prior inequities, such as those exposed to child maltreatment, may have experienced greater psychosocial challenges and long-term difficulties than their peers, including sustained interpersonal relationships problems. Given the importance of healthy relationships during adolescence and early adulthood, the significant impact the pandemic had on youth, and the potential disproportionate challenges for youth with a child maltreatment history, the purpose of the present study was to better understand changes in relational conflict among youth with and without a child maltreatment history from the perspectives of youth themselves.
View Article and Find Full Text PDFPurpose: The impact of effort-reward imbalance (ERI) on the decision to leave academia among dental and dental hygiene faculty in the United States (US) has yet to be explored. This study examined the effect of effort, reward, and overcommitment on turnover intention to leave academia in dental and dental hygiene faculty in the US.
Methods: Cross-sectional survey research design was conducted with a convenience sample of dental hygiene and dental faculty (n = 273) currently teaching in the US.
Background And Hypothesis: Among individuals living with psychotic disorders, social impairment is common, debilitating, and challenging to treat. While the roots of this impairment are undoubtedly complex, converging lines of evidence suggest that social motivation and pleasure (MAP) deficits play a central role. Yet most neuroimaging studies have focused on monetary rewards, precluding decisive inferences.
View Article and Find Full Text PDFA decision support tool or system is a computerized information system used to support decision-making in a business; one central component to profitable dairy cattle production systems is the appropriate mating of bulls and females. While tools have been described to aid mating decisions between dairy bulls and dairy females, or between beef bulls and beef females, there is a void of such tools that recommend which beef bull to mate to individual dairy females. The objective of the present study was to develop and validate a framework, founded on linear programming, to aid herd-level mating decisions where the bull-female mating is tailored based on complementarity and compatibility of both mates; consideration in the process was given to the genetic merit of both mates for a series of traits as well as the life history of the female herself.
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