Transitive inference in a clinical childhood sample with a focus on autism spectrum disorder.

Transitive inference (TI) has a long history in the study of human development. There have, however, few pediatric studies that report clinical diagnoses have tested trial-and-error TI learning, in which participants infer item relations, rather than evaluate them explicitly from verbal descriptions. Children aged 8-10 underwent a battery of clinical assessments and received a range of diagnoses, potentially including autism spectrum disorder (ASD), attention-deficit hyperactive disorder (ADHD), anxiety disorders (AD), specific learning disorders (SLD), and/or communication disorders (CD).

Gender disparities in industry compensation and research payments among neurointerventional surgeons in the USA.

Background: The purpose of this study is to examine the presence of gender disparity represented by industry payments and research funding within the field of interventional neuroradiology.

Methods: Payment information was collected using the Centers for Medicare and Medicaid Services Open Payment database for the year 2019. Kruskal-Wallis tests were used to analyze differences in annual compensation based on sex in $US, while controlling for geographic factors, academic rank, and h-index.

Category learning in a transitive inference paradigm.

The implied order of a ranked set of visual images can be learned without reliance on information that explicitly signals their order. Such learning is difficult to explain by associative mechanisms, but can be accounted for by cognitive representations and processes such as transitive inference. Our study sought to determine if those processes also apply to learning categories of images.

Absolute and relative knowledge of ordinal position on implied lists.

Does serial learning result in specific associations between pairs of items, or does it result in a cognitive map based on relations of all items? In 2 experiments, we trained human participants to learn various lists of photographic images. We then tested the participants on new lists of photographic images. These new lists were constructed by selecting only 1 image from each list learned during training.