Results 221 to 230 of about 757,960 (318)
Condition-fusion-and-hiding denoising diffusion model for electrocardiogram lead reconstruction. [PDF]
Wei X +6 more
europepmc +1 more source
Consumed by Abdominal Distention
Arthritis Care &Research, EarlyView.
Abimbola Fadairo‐Azinge +3 more
wiley +1 more source
Objective JAK inhibitors (JAKis) have shown promising effects in early‐phase studies of SSc. We aimed to assess the safety and explore effectiveness of JAKis compared to conventional immunosuppressants in SSc. Methods A longitudinal retrospective study of the EUSTAR cohort was performed.
Stefano Di Donato +27 more
wiley +1 more source
Heterogeneous graph transformer and diffusion model for disease diagnosis. [PDF]
Zhu X, Yang D, Liu Y.
europepmc +1 more source
β‐Catenin/c‐Myc Axis Modulates Autophagy Response to Different Ammonia Concentrations
Ammonia, detoxified by the liver into urea and glutamine, impacts autophagy differently at varying levels. Low ammonia activates autophagy via c‐Myc and β‐catenin, while high levels suppress it. Using Huh7 cells and Spf‐ash mice, c‐Myc's role in cytoprotective autophagy is revealed, offering insights into hyperammonemia and potential therapeutic ...
S. Sergio +11 more
wiley +1 more source
Predicting condition-aware drug-induced transcriptional responses via a latent diffusion model. [PDF]
Kim C, Yoo S.
europepmc +1 more source
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
Diffusion model-based inverse design of photonic crystals for customized refraction. [PDF]
Lin R +5 more
europepmc +1 more source
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

