Substance abuse in young adults is a public health issue with costs to the individual and
society. There is mounting evidence that the increased uses of mHealth approaches have …

Background The use of social media (SM) as a surveillance tool of global illicit drug use is
limited. To address this limitation, a systematic review of literature focused on the ability of …

In recent years, scientists have increasingly taken to investigate the predictive nature of
cognition. We argue that prediction relies on abstraction, and thus theories of predictive …

Throughout their lives, humans seem to learn a variety of rules for things like applying
category labels, following procedures, and explaining causal relationships. These rules are …

Preschoolers struggle to solve problems when they have to consider what might and might
not happen. Instead of planning for all open possibilities, they simulate one possibility and …

This paper attempts to evaluate the capacity of immediate memory to cope with new
situations in relation to the compressibility of information likely to allow the formation of …

Here we present a systematic plan to the experimental study of test–retest reliability in the
multitasking domain, adopting the multitrait-multimethod (MTMM) approach to evaluate the …

A multilayered bidirectional associative memory neural network is proposed to account for
learning nonlinear types of association. The model (denoted as the MF-BAM) is composed …

Linguistic and non‐linguistic pattern learning have been studied separately, but we argue
for a comparative approach. Analogous inductive problems arise in phonological and visual …

Logic diagrams are employed in electrical engineering for visualizing switching circuits.
However, their utility and applicability extend far beyond the technical sciences. Here, we …