Evolution and Hotspots in Autologous Ear Reconstruction: A Bibliometric Analysis of the 100 Most-cited Studies. [PDF]
Saad CG +7 more
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Zombies without puppeteers: Morgan's Canon and the passive manipulation hypothesis in <i>Xenos vesparum</i>/<i>Polistes dominula</i>. [PDF]
Starks PT.
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
AI-based reconstruction from low-resolution acquisitions for diffusion MRI: evaluation of FOD similarity. [PDF]
Kasahara A +7 more
europepmc +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Task-based image quality and dosimetric validation of HyperSight CBCT for adaptive radiotherapy. [PDF]
Park B, Kim T, Lee KW.
europepmc +1 more source
Evolution and Revolution of System Architecture with New Generation Technology [PDF]
Tomohisa Imamura, Koichiro Kurita, Hiroyuki Shikata, Tetsuya Kawagishi
doaj
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source

