Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Abstract: Large Language Models (LLMs) have revolutionised natural language processing tasks, particularly as chat agents. However, their applicability to threat detection problems remains unclear.

Abstract: On-demand manipulation of electromagnetic (EM) far-fields has greatly accelerated the extension of intelligent metasurfaces in diverse applications. An important prerequisite for most of the ...

Objective: To assess maternal readiness for weaning and examine the socio-demographic and behavioral factors influencing weaning decisions. Method: A cross-sectional study was conducted at three ...