The ExoMol database (www.exomol.com) provides extensive line lists of molecular transitions which are valid over extended temperature ranges. The status of the current release of the database is reviewed and a new data structure is specified. This structure augments the provision of energy levels (and hence transition frequencies) and Einstein A coefficients with other key properties, including lifetimes of individual states, temperature-dependent cooling functions, Land? g-factors, partition functions, cross sections, k-coefficients and transition dipoles with phase relations. Particular attention is paid to the treatment of pressure broadening parameters. The new data structure includes a definition file which provides the necessary information for utilities accessing ExoMol through its application programming interface (API). Prospects for the inclusion of new species into the database are discussedPeer reviewe
This study examined the predictive relations from symptoms of Attention-deficit/hyperactivity disorder (ADHD) and executive functioning (EF) to social and school functioning in 112 (62 girls) school children. High levels of teacher and parent ratings of ADHD symptoms at the ages of 8-8 1/2 years, and poor EF measured at the age of 8 1/2, were associated with poor social functioning measured by peer nominations and poor teacher ratings of school functioning at the age of 9 1/2. ADHD symptoms independently predicted social and school functioning, whereas EF independently predicted only school functioning. Interaction effects between ADHD and EF and between EF and gender were found: At high levels of symptoms of inattention, the poorer the EF, the greater the need for special education. At high levels of symptoms of hyperactivity/impulsivity, the poorer the EF, the higher the levels of physical aggression. Girls with poor EF were less accepted by peers than equivalent boys.
Depending on their course, maternal depressive symptoms have different effects on child problem behaviour. More information is gained by studying trajectories of symptoms, than only predefined measures of severity and chronicity. Moreover, trajectories can help identifying clinically depressed mothers who are possible candidates for early interventions.
ObjectiveChildhood externalizing behavior is found to be relatively persistent. Developmental pathways within types of externalizing behavior have been recognized from childhood to adolescence. We aimed to describe the prediction of adult DSM-IV disorders from developmental trajectories of externalizing behavior over a period of 24 years on a longitudinal multiple birth cohort study of 2,076 children. This has not been examined yet.MethodsTrajectories of the four externalizing behavior types aggression, opposition, property violations, and status violations were determined separately through latent class growth analysis (LCGA) using data of five waves, covering ages 4–18 years. Psychiatric disorders of 1,399 adults were assessed with the CIDI. We used regression analyses to determine the associations between children’s trajectories and adults’ psychiatric disorders.ResultsAll externalizing behavior types showed significant associations with disruptive disorder in adulthood. In all antisocial behavior types high-level trajectories showed the highest probability for predicting adult disorders. Particularly the status violations cluster predicted many disorders in adulthood. The trajectories most often predicted disruptive disorders in adulthood, but predicted also anxiety, mood, and substance use disorders.ConclusionsWe can conclude that an elevated level of externalizing behavior in childhood has impact on the long-term outcome, regardless of the developmental course of externalizing behavior. Furthermore, different types of externalizing behavior (i.e., aggression, opposition, property violations, and status violations) were related to different adult outcomes, and children and adolescents with externalizing behavior of the status violations subtype were most likely to be affected in adulthood.
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