Fictional information presents a unique challenge to the developing child. Children must learn when it is appropriate to transfer information from the fictional space to the real world and what contextual cues should be considered in this decision. The current research explores children’s causal inferences between fictional representations and reality by examining their developing sensitivity t...

For the scale of data in process keep increasing, data provenance also becomes large and constantly growing, which brings challenges to the efficiency of provenance tracking in process analysis. This paper proposes a kind of dependency view to extract a global data provenance description of the data process instance, and then defines a contextual query language based on dependency view to imple...

BACKGROUND Identifying, developing, and testing implementation strategies are important goals of implementation science. However, these efforts have been complicated by the use of inconsistent language and inadequate descriptions of implementation strategies in the literature. The Expert Recommendations for Implementing Change (ERIC) study aimed to refine a published compilation of implementati...

BACKGROUND As complementary and alternative medicine (CAM) has developed extensively, uncertainty about the appropriateness of the terms CAM and other CAM-related terms has grown both in the research and practice communities. Various terms and definitions have been proposed over the last three decades, highlighting how little agreement exits in the field. Contextual use of current terms and the...

The continuing shortage of IT professionals is a global problem and is exacerbated by the lack of women, representing nearly half the potential workforce, who are attracted to the industry. This paper contributes to the growing body of literature by examining the perspectives and experiences of both male and female IT professionals in New Zealand. Using a narrative inquiry methodology the study...

The article gives a detailed insight into pandemic media discourse by revealing and analyzing its lexical changes. research aims to observe the dynamic processes in vocabulary: intensity usage frequency of key words, neologisms, borrowings, reflection important social political events vocabulary. is based on DIMEAN multilevel linguistic analysis model, elements corpus analysis, concordance comp...

A computational model of learning in visual attention is described, and it is shown how it can integrate information over time to form a representation of the visual context. This visual context is subsequently used to guide the focus of attention in a visual search task. Computer simulations shows that the model can learn to use contextual cues when they are available. The performance using co...

Recently, the field of automatic recognition of users’ affective states has gained a great deal of attention. Automatic, implicit recognition of affective states has many applications, ranging from personalized content recommendation to automatic tutoring systems. In this work, we present some promising results of our research in classification of emotions induced by watching music videos. We s...

Structured operational semantics is widely recognized as a conceptually simple and practically expressive framework to formally design type systems in programming languages. Being easy to reason with, the type-theoretical setting of operational semantics is used increasingly to formulate program analysis techniques, called effect systems. Effect systems distinguish between the specification of ...