Journal Name: Semiotica Issue: Ahead of print.

“Image metaphor” is defined in Conceptual Metaphor Theory as a mapping of visual structure from one entity onto another based on the mental images they evoke. It is considered an exceptional, one-off phenomenon that can be distinguished clearly from prototypical conceptual metaphors. However, according to Perceptual Simulation Theory, all language, both literal and nonliteral, is understood partially by simulating in our minds what it would be like to actually perceive the things that are being described, which suggests that visualization is (...) not unique to image metaphor. As I argue in this article, the mental imagery invited by image metaphors is nevertheless likely to be particularly vivid, detailed, and complex, as well as involving more conscious and deliberate thought processes. Since it is hard to consider visualization in abstract terms, pictorial equivalents of image metaphors are used to support my claims. (shrink)

In this article, we present a one-step hybrid block method for approximating the solutions of second-order fuzzy initial value problems. We prove the stability and convergence results of the method and present several examples to illustrate the efficiency and accuracy of the proposed method. The numerical results are compared with the existing ones in the literature.

Name der Zeitschrift: Semiotica Heft: Ahead of print.

Background Integrating artificial intelligence (AI) into healthcare has raised significant ethical concerns. In pharmacy practice, AI offers promising advances but also poses ethical challenges. Methods A cross-sectional study was conducted in countries from the Middle East and North Africa (MENA) region on 501 pharmacy professionals. A 12-item online questionnaire assessed ethical concerns related to the adoption of AI in pharmacy practice. Demographic factors associated with ethical concerns were analyzed via SPSS v.27 software using appropriate statistical tests. Results Participants expressed concerns (...) about patient data privacy (58.9%), cybersecurity threats (58.9%), potential job displacement (62.9%), and lack of legal regulation (67.0%). Tech-savviness and basic AI understanding were correlated with higher concern scores (p < 0.001). Ethical implications include the need for informed consent, beneficence, justice, and transparency in the use of AI. Conclusion The findings emphasize the importance of ethical guidelines, education, and patient autonomy in adopting AI. Collaboration, data privacy, and equitable access are crucial to the responsible use of AI in pharmacy practice. (shrink)

Early adversity and trauma can have profound effects on children’s affective development and mental health outcomes. Interventions that improve mental health and socioemotional development are essential to mitigate these effects. We conducted a pilot study examining whether a reading-based program improves emotion recognition and mental health through socialization in Syrian refugee and Jordanian non-refugee children aged 7–12 years old living in Jordan. To measure emotion recognition, children classified the expression in faces morphed between two emotions, while mental health was assessed (...) using survey measures of optimism, depression, anxiety, distress, and insecurity. Prior to the intervention, both groups of children were significantly biased to interpret ambiguous facial expressions as sad, while there was no clear bias on the fear–anger spectrum. Following the intervention, we found changes in Syrian refugee children’s bias in emotion recognition away from sad facial expressions, although this returned to pre-intervention levels 2 months after the end of the program. This shift in the bias away from sad facial expressions was not associated with changes in self-reported mental health symptoms. These results suggest a potential positive role of the reading intervention on affective development, but further research is required to determine the longer-term impacts of the program. (shrink)