Results 221 to 230 of about 3,989,044 (332)
CLIP-Mono3D: End-to-End Open-Vocabulary Monocular 3D Object Detection via Semantic-Geometric Similarity. [PDF]
Gu Z, Mu S, Lyu H, Xu S.
europepmc +1 more source
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source
RAG-based architectures for drug side effect retrieval using compact LLMs. [PDF]
Nygren S +6 more
europepmc +1 more source
Oil‐Coated Nanoplastics Induce Rapid Membrane Disruption and Severe Intestinal Injury
Oil‐rich food contact dramatically amplifies MNP release from plastic takeout containers, producing oil‐coated nanoplastics with altered surface properties and rapid membrane‐disruptive effects. These particles cause severe intestinal barrier damage and immune dysfunction in mice, and risk modeling suggests that long‐term gastrointestinal burdens may ...
Ruwen Xie +17 more
wiley +1 more source
The effectiveness of large language models in dental specialty questions: a comparative study in the field of prosthodontics. [PDF]
Erdal SG, Güdül ABÇ, Köroğlu A.
europepmc +1 more source
This study elucidates that β‐elemene promotes cellular uptake of L. gasseri‐derived lactate by enhancing the membrane translocation of MCT1 in a CD147‐dependent manner. Intracellular lactate, through the lactylation of RBBP4 at the K26 site, recruits EP300 to the promoter regions of downstream genes (POLD1/POLD3), catalyzing H3K27ac modification.
Jiancheng He +10 more
wiley +1 more source
AGREE-YOLO: A Framework for Seafood Recognition and Cross-Cultural Gastronomic Recommendation. [PDF]
Hou M +5 more
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
An Operational Hybrid SIEM Framework for OT Anomaly Detection. [PDF]
Rahmani J +3 more
europepmc +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source

