Until the ICRP publishes the SAF values for pre-adults, an automatic function in the program (IDAC-Dose2.1) facilitates absorbed dose calculations with IDAC-Dose1.0 [2, 3] to the stylised pre-adult phantoms using recalculations of the cumulated activity per administered activity for the adult male.
We proposed that trauma symptoms, specifically symptoms of depression, dissociation and posttraumatic stress, would predict automatic functions of NSSI in the multivariate model and also mediate the relationship between childhood maltreatment and the automatic/intrapersonal functions of NSSI.
Frequency of NSSI, gender (female), emotional abuse, prolonged illness or handicap during upbringing and symptoms of depression uniquely predicted the automatic functions of NSSI in the final regression model, but not the social functions.
Results of the mediation analyses confirmed the mediating role of trauma symptoms (depression and dissociation) in the relationship between self-reported experiences of emotional abuse (B = 3.24, CI = 2.79-3.73), physicabuseuse (B = 2.58, CI = 1.99-3.18), as well as sexual abuse (B = 3.28, CI = 2.60-4.04) and the automatic functions of NSSI in all three models.
Although both models were significant, the predictors explained more variance in the automatic functions compared to the social functions, indicating that the predicting variables included in the model are meaningful constructs in relationship to the automatic functions of NSSI.
If applied as an automatic function for use in the clinic, the non-assisted breaths could be repeated intermittently to increase the likelihood of obtaining acceptable and reproducible PVBC values.
Self-reported handicap or illness of a chronic nature was significant in the model of automatic functions.
In the hierarchical multiple regression model of the automatic functions of NSSI, NSSI frequency was entered as step 1, explaining 24% of the variance in the automatic functions.
In order to use these Sherpa functions, users should define source and background models in the usual way with the automatic functions set_source and set_bkg_source.
In order to use these Sherpa functions, source and background models should be defined in the usual way with the automatic functions set_source and set_bkg_source.
