Objectives: The brain’s widespread neural functions lead to aphasia in which the patients experience difficulties in cognitive and language functions. Memory, type, and severity of aphasia are associated with language and the naming process. In the current study, we investigated the relationship between memory, type, and severity of aphasia using the confrontation naming test in post-stroke pat...

In this paper, we discuss the equivalent conditions of pretopological and topological $L$-fuzzy Q-convergence structures and define $T_{0},~T_{1},~T_{2}$-separation axioms in $L$-fuzzy Q-convergence space. {Furthermore, $L$-ordered Q-convergence structure is introduced and its relation with $L$-fuzzy Q-convergence structure is studied in a categorical sense}.

The increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. Through the development of semantic Web, One major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each resource. Each user knows the trustworthiness of ...

Background: Knowing the development pattern of children’s language is applicable in developmental psychology. Network models of language are helpful for the identification of these patterns.  Objectives: We examined the small-world properties of featured semantic networks of developing children. Materials & Methods: In this longitudinal study, the featured semantic networks of children aged 1...

Semantic video indexing, also known as video annotation or video concept detection in literatures, has been attracting significant attention in recent years. Due to deficiency of labeled training videos, most of the existing approaches can hardly achieve satisfactory performance. In this paper, we propose a novel semantic video indexing approach, which exploits the abundant usertagged Web image...

Theories of sentence production that involve a convergence of activation from conceptual-semantic and syntactic-sequential units inspired a connectionist model that was trained to produce simple sentences. The model used a learning algorithm that resulted in a sharing of responsibility (or “division of labor”) between syntactic and semantic inputs for lexical activation according to their predi...