Family handedness as a predictor of mental rotation ability among minority girls in a math-science training program.

Right-handed girls from nonright-handed families outperformed the other groups of minority adolescent girls enrolled in a science and technology program on a test of mental rotation ability. This target group excelled over right-handed girls with all right-handed relatives and nonright-handers. The pattern of group differences in mental rotation ability found here is consistent with those found for women with math-science training at the college level. The minority boys in the program outperformed the girls as a whole, but did not differ significantly from the right-handed girls with nonright-handed relatives. The present findings provide further support for the generality of Annett's genetic theory of handedness and brain organization, and for the interaction of genetic and environmental factors in accounting for individual differences in mental rotation ability.     

Manipulating parameters of reinforcement to reduce problem behavior without extinction

Differential reinforcement of alternative behavior (DRA) most often includes extinction as a treatment component. However, extinction is not always feasible and it can be counter‐therapeutic if implemented without optimal treatment integrity. Researchers have successfully implemented DRA without extinction by manipulating various parameters of reinforcement such that alternative behavior is favored. We extended previous research by assessing three participants' sensitivities to quality, magnitude, and immediacy using arbitrary responses and reinforcers that maintain problem behavior. The results were used to implement an intervention for problem behavior using DRA without extinction. Our findings indicate that arbitrary responses can be used to identify individual and relative sensitivity to parameters of reinforcement for reinforcers that maintain problem behavior. Treatment was effective for all participants when we manipulated parameters of reinforcement to which they were most sensitive, and, for two participants, the treatment was less effective when we manipulated parameters to which they were least sensitive.     

Do Programmers Prefer Predictable Expressions in Code?

Source code is a form of human communication, albeit one where the information shared between the programmers reading and writing the code is constrained by the requirement that the code executes correctly. Programming languages are more syntactically constrained than natural languages, but they are also very expressive, allowing a great many different ways to express even very simple computations. Still, code written by developers is highly predictable, and many programming tools have taken advantage of this phenomenon, relying on language model surprisal as a guiding mechanism. While surprisal has been validated as a measure of cognitive load in natural language, its relation to human cognitive processes in code is still poorly understood. In this paper, we explore the relationship between surprisal and programmer preference at a small granularity—do programmers prefer more predictable expressions in code? Using meaning-preserving transformations, we produce equivalent alternatives to developer-written code expressions and run a corpus study on Java and Python projects. In general, language models rate the code expressions developers choose to write as more predictable than these transformed alternatives. Then, we perform two human subject studies asking participants to choose between two equivalent snippets of Java code with different surprisal scores (one original and transformed). We find that programmers do prefer more predictable variants, and that stronger language models like the transformer align more often and more consistently with these preferences.     

Functioning Among Typically Developing Siblings of Individuals with Autism Spectrum Disorder: A Meta-Analysis

Clinical Child and Family Psychology Review - The literature on typically developing siblings of individuals with autism spectrum disorder (ASD-Sibs) provides inconsistent results, with some...     

Parents as Partners: A U.K. Trial of a U.S. Couples‐Based Parenting Intervention For At‐Risk Low‐Income Families

Despite the well‐established links between couple relationship quality and healthy family functioning, and burgeoning evidence from the international intervention field, there is little or no evidence of the efficacy of couples‐based interventions from the United Kingdom (U.K.). This study explored whether the Parents as Partners (PasP) program, a group‐based intervention developed in the United States, brought about the same benefits in the U.K. The evaluation is based on 97 couples with children from communities with high levels of need, recruited to PasP because they are at high risk for parent and child psychopathology. Both mothers and fathers completed self‐report questionnaires assessing parents’ psychological distress, parenting stress, couple relationship quality and conflict, fathers’ involvement in child care and, importantly, children's adjustment. Multilevel modeling analysis comparing parents’ responses pre‐ and postintervention not only showed substantial improvements for both parents on multiple measures of couple relationship quality, but also improvements in parent and child psychopathology. Analyses also indicated most substantial benefits for couples displaying poorest functioning at baseline. The findings provide initial evidence for the successful implementation of PasP, an American‐origin program, in the U.K., and add support for the concept of the couple relationship as a resource by which to strengthen families.     

Functional magnetic resonance imaging: basic principles of and application to developmental science

Functional magnetic resonance imaging (fMRI) has quickly become the preferred technique for imaging normal brain activity, especially in the typically developing child. This technique takes advantage of specific magnetic properties and physiological processes to generate images of brain activity. These images can be interpreted as a function of group or individual based differences to explore developmental patterns and/or cognitive abilities. In this paper we present an overview of the basic principles of fMRI and a discussion of what is currently known about the physiological bases of the resulting signal. We also report findings from developmental fMRI studies that examine the development of cognitive and neural systems underlying attention and memory. Behavioral performance and age‐related neural changes are examined independently in an attempt to disentangle developmental differences from individual variability in performance.