AI‐Directed 3D Printing of Hierarchical Polyurethane Foams
Digitally guided direct ink writing, combined with AI‐generated design, enables the fabrication of hierarchical polyurethane foams with tunable multiscale porosity. This approach produces architected foams featuring interconnected open‐cell networks and tailored mechanical properties, advancing the development of adaptive, high‐performance materials ...
Dhanush Patil +15 more
wiley +1 more source
Research on the construction and application of retrieval enhanced generation (RAG) model based on knowledge graph. [PDF]
Wang S, Yang H, Liu W.
europepmc +1 more source
P717 Evaluating the performance of Large Language Models in responding to patients' health queries: A comparative analysis with medical experts [PDF]
Zhao Yan +8 more
openalex +1 more source
This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen +8 more
wiley +1 more source
A case study using sewage metagenomic data for assessment of text-to-SQL capabilities in large language models. [PDF]
Becsei Á +6 more
europepmc +1 more source
An object-oriented structured query language and its translation to a formal algebra
Ali Gürhan Gür
openalex +1 more source
This study demonstrates that BNNT exposure disrupts lipid homeostasis in bronchial epithelial cell cultures and activates eicosanoid lipid biosynthesis, producing inflammatory lipid mediators like leukotrienes. These effects are more pronounced in asthmatic cell cultures compared to healthy ones.
Govind Gupta +14 more
wiley +1 more source
Using, misusing, and improving online machine learning-based meta-analysis of neuroimaging published data: A perspective on NeuroQuery. [PDF]
Mahafza Y +4 more
europepmc +1 more source
On describing human white matter anatomy: the white matter query language. [PDF]
Wassermann D +6 more
europepmc +1 more source
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao +10 more
wiley +1 more source

