Maternal Monitoring and Maternal Psychological Well-Being: Important Components in Treating Conduct Disorder

Conduct disorder is characterized by behaviors that take a large toll on the individuals, families, and communities afflicted. Thus, improving treatment effectiveness should be a high priority. Currently, common intervention programs do not address parental depression, even though it has been linked to adolescent conduct disorder behaviors in some studies. The current study assessed whether the relation between maternal depression and adolescent conduct disorder behaviors is mediated by another factor which has been linked to conduct disorder behaviors, maternal monitoring. Results did not support the hypothesized mediated association, but did show significant individual associations for both maternal depression and maternal monitoring with adolescent conduct disorder behaviors. Secondary analyses showed that adolescent age and household income were significantly related to maternal monitoring and maternal depression, respectively. Findings also suggested that child disclosure may drive the association between maternal monitoring and adolescent conduct disorder behaviors. Implications for intervention are discussed

Longitudinal Relations between Emotional Awareness and Aggression in Early Adolescence: The Mediating Role of Emotion Dysregulation

High prevalence rates exist for physical (i.e., threatened or actual physical force) and relational (i.e., actions meant to harm another’s social relationships) aggression within early adolescence, and these behaviors lead to detrimental social, physical, and mental health outcomes. Thus, there is a need to identify risk and protective processes related to these subtypes of aggression, especially those that can inform violence prevention efforts. Prior studies including early adolescents have shown emotion dysregulation to be a risk factor for aggression. However, few studies have incorporated the emotional competence process of poor emotional awareness, which may be a risk factor for emotion dysregulation and, in turn, for aggression. Furthermore, little research has assessed relations between subtypes of emotion dysregulation (i.e., anger and sadness) and physical and relational aggression. The current study examined longitudinal relations between poor emotional awareness and these subtypes of emotion dysregulation and aggression, as well as concurrent pathways between the emotion dysregulation and aggression variables. Exploratory tests for gender differences were also conducted. Rating scales were collected from 528 sixth graders (51% girls, 49% boys; missing data n = 8) and their teachers over a six month period in the fall and spring of the school year. Across the full sample, 65% of students identified as African-American, 19% European-American, 2%, Hispanic Latino, 11% Multiracial, and 3% as “Other”(missing data n = 8). Results indicated no significant differences by gender in the strength of relations between study variables. Poor emotional awareness was not directly related to changes in subsequent frequency of physical or relational aggression. However, poor emotional awareness at Time 1 was associated with later rates of anger and sadness dysregulation. Furthermore, an indirect effect was found for poor emotional awareness on both physical and relational aggression via anger dysregulation, and this was true for student- and teacher-rated outcomes. Sadness dysregulation showed a negative concurrent association with teacher-rated physical aggression; and there was an indirect effect of poor emotional awareness on teacher-rated physical aggression via sadness dysregulation. Study findings have important implications for theoretical treatises, youth violence prevention programs, and future directions for research, which are all discussed

Modeling tax evasion with genetic algorithms

The U.S. tax gap is estimated to exceed $450 billion, most of which arises from non-compliance on the part of individual taxpayers (GAO 2012; IRS 2006). Much is hidden in innovative tax shelters combining multiple business structures such as partnerships, trusts, and S-corporations into complex transaction networks designed to reduce and obscure the true tax liabilities of their individual shareholders. One known gambit employed by these shelters is to offset real gains in one part of a portfolio by creating artificial capital losses elsewhere through the mechanism of “inflated basis” (TaxAnalysts 2005), a process made easier by the relatively flexible set of rules surrounding “pass-through” entities such as partnerships (IRS 2009). The ability to anticipate the likely forms of emerging evasion schemes would help auditors develop more efficient methods of reducing the tax gap. To this end, we have developed a prototype evolutionary algorithm designed to generate potential schemes of the inflated basis type described above. The algorithm takes as inputs a collection of asset types and tax entities, together with a rule-set governing asset exchanges between these entities. The schemes produced by the algorithm consist of sequences of transactions within an ownership network of tax entities. Schemes are ranked according to a “fitness function” (Goldberg in Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Boston, 1989); the very best schemes are those that afford the highest reduction in tax liability while incurring the lowest expected penalty.Mitre Corporation (Innovation Program

The impact of a high‐definition multileaf collimator for spine SBRT

PurposeAdvanced radiotherapy delivery systems designed for high‐dose, high‐precision treatments often come equipped with high‐definition multi‐leaf collimators (HD‐MLC) aimed at more finely shaping radiation dose to the target. In this work, we study the effect of a high definition MLC on spine stereotactic body radiation therapy (SBRT) treatment plan quality and plan deliverability.Methods and MaterialsSeventeen spine SBRT cases were planned with VMAT using a standard definition MLC (M120), HD‐MLC, and HD‐MLC with an added objective to reduce monitor units (MU). M120 plans were converted into plans deliverable on an HD‐MLC using in‐house software. Plan quality and plan deliverability as measured by portal dosimetry were compared among the three types of plans.ResultsOnly minor differences were noted in plan quality between the M120 and HD‐MLC plans. Plans generated with the HD‐MLC tended to have better spinal cord sparing (3% reduction in maximum cord dose). HD‐MLC plans on average had 12% more MU and 55% greater modulation complexity as defined by an in‐house metric. HD‐MLC plans also had significantly degraded deliverability. Of the VMAT arcs measured, 94% had lower gamma passing metrics when using the HD‐MLC.ConclusionModest improvements in plan quality were noted when switching from M120 to HD‐MLC at the expense of significantly less accurate deliverability in some cases.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/139989/1/acm212197.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/139989/2/acm212197_am.pd