University of Alkafeel

Reliability of machine learning methods for prediction of critical heat flux: an OECD/NEA benchmark study

Abstract Critical heat flux (CHF) prediction is a primary thermal-hydraulic requirement for water-cooled reactors. Machine-learning studies on the OECD/NEA Phase-1 benchmark report high in-distribution accuracy, but reliability under distribution shift is poorly characterised. Fo...

From joint to artery: association of cathelicidin LL-37 and toll-like receptor 9 with inflammatory markers and atherogenic lipid indices in rheumatoid arthritis

Abstract Background Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease characterized by persistent inflammation. This systemic inflammatory burden significantly accelerates cardiovascular disease (CVD), which remains the primary cause of mortality in RA patients....

Design a Novel Recyclable Fe 3 O 4 @SiO 2 ‐TGDM@Ni MICOF Electrode for CO 2 Trap, Electrolyte, and Catalyst for Electro‐Carboxylation Reaction

ABSTRACT The design and development of high‐performance electrocatalytic systems featuring multiple functionalities, excellent recyclability, and reusability constitute a vital and essential advancement in the field of green chemistry. Such innovative approaches significantly mit...

Steroid formulation, standardized prednisolone-equivalent dose, and thyroid–adrenal axis function in 28,695 adults: a real-world cross-sectional study

Exogenous steroid misuse is an increasingly recognized public health concern with potential consequences for hypothalamic–pituitary–thyroid (HPT) axis regulation. However, dose-standardized evidence linking specific steroid formulations to thyroid function markers remains scarce....