Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Nurses' Experiences Using AI in Clinical Practice: Systematic Review. [PDF]
Scott AJS +4 more
europepmc +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Do nurse performance appraisals reflect caring behaviors? Evidence from an Indonesian hospital. [PDF]
Kuntarti K, Rahmayanto I.
europepmc +1 more source
An evidence-based nursing management app prototype for adult urology day surgery: an AI-driven development pathway. [PDF]
Fang Q +7 more
europepmc +1 more source
Pharmacist independent prescribing in Middle Eastern countries: Insights from a systematic review of awareness, readiness, and barriers to implementation. [PDF]
Alhomoud FK.
europepmc +1 more source
Teaching Journal Club Through Summary Synopses Rather Than Full Articles. [PDF]
Guthmann R.
europepmc +1 more source
The impact of artificial intelligence application on employees' job insecurity: the moderating roles of self-efficacy and transformational leadership. [PDF]
Fu W, Zhang H.
europepmc +1 more source
Using Generative AI to Appraise the Quality of Medical Education Research Studies: Agreement Between AI-Generated and Human MERSQI Scores. [PDF]
Aldalou M +7 more
europepmc +1 more source

