-Communication complexity scale (CCS)Brady et al., 2012 [1]was developed to assess the communication of individuals with intellectual disabilities and developmental disabilities who are mostly presymbolic communicators in the context of examiner-child scripted interaction. In the present study, CCS was adapted to assess communication oftwo typically developing children of 1.6 years age in unscr...

Deficits in basic numerical abilities have been investigated repeatedly as potential risk factors of math anxiety. Previous research suggested that also a deficient approximate number system (ANS), which is discussed as being the foundation for later math abilities, underlies math anxiety. However, these studies examined this hypothesis by investigating ANS acuity using a symbolic number compar...

The acuity of individuals’ approximate number system (ANS) is measured using a non-symbolic numerical discrimination task (e.g., Halberda & Feigenson, 2008) which is encapsulated by the Weber Fraction measure (Piazza & Dehaene, 2004). Children’s performance on this task is linked to symbolic arithmetic skills, standardized test scores and other long-term outcomes (e.g., Beddington et al., 2008;...

Human action recognition has been an active research area for over three decades. However, state-of-the-art proposed algorithms are still far from developing error-free and fully-generalized systems to perform accurate interaction recognition. This work proposes a new method two-person videos, based on well-known cognitive theories. The main idea is classification theory of cognition known as d...

The purpose of this paper is to synthesize literatures on stress, social support, symbolic interaction, and de Certeau as they pertain to the recovery of a homosexually‐identified individual from a homophobic interaction. A model of the initial stressful interaction as well as the interaction between a homosexually‐identified individual and his socially‐supportive network is posited with the co...

The design of fungicides is a central topic in agricultural chemistry. In this manuscript, it shown how the Superposition Significant Interaction Rules (SSIR) method can serve generation new potentially active molecules. By using SSIR, process becomes simple symbolic procedure without intervention sophisticated statistical methods, although results obtained are comparable.

Knowledge graph reasoning is the fundamental component to support machine learning applications such as information extraction, retrieval, and recommendation. Since knowledge graphs can be viewed discrete symbolic representations of knowledge, on naturally leverage techniques. However, intolerant ambiguous noisy data. On contrary, recent advances deep have promoted neural graphs, which robust d...