Results 271 to 280 of about 297,161 (352)
In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins +2 more
wiley +1 more source
Source-Free Domain Adaptation Framework for Rotary Machine Fault Diagnosis. [PDF]
Jeong H, Kim S, Seo D, Kwon J.
europepmc +1 more source
A comparison of model-based reasoning and learning approaches to power transmission fault diagnosis
Ramesh Rayudu +2 more
openalex +2 more sources
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed +3 more
wiley +1 more source
Fault Diagnosis of Wind Turbine Rotating Bearing Based on Multi-Mode Signal Enhancement and Fusion. [PDF]
Ding S, Zhou G, Wang X, Li W.
europepmc +1 more source
Fault diagnosis system for hydraulic turbine generator
Yukiharu Ohga +3 more
openalex +2 more sources
This study investigates the photosensitizing potential of Passiflora cincinnata in Antimicrobial Photodynamic Therapy (aPDT) against skin infection caused by Methicillin‐resistant Staphylococcus aureus (MRSA) in a senescent murine model. The P. cincinnata exhibits antimicrobial activity, with reduced bacterial load, lower leukocyte infiltration, and ...
Caroline Vieira Gonçalves +14 more
wiley +1 more source
Bearing fault diagnosis based on cross image multi-attention mechanism. [PDF]
Liu Y +5 more
europepmc +1 more source
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec +6 more
wiley +1 more source
Knowledge-Graph-Driven Fault Diagnosis Methods for Intelligent Production Lines. [PDF]
Chen Y, Zhou M, Zhang M, Zha M.
europepmc +1 more source

