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
Brazilian nephrologist's knowledge of intradialytic exercise: a national survey. [PDF]
Cordeiro MDNA +5 more
europepmc +1 more source
A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?
Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli +5 more
wiley +1 more source
Formal methods for the re-engineering of computing systems: a comparison
X. Liu, H. Yang, H. Zedan
openalex +2 more sources
Language attitudes of Generation Z in responding to teacher questions in learning interactions. [PDF]
Suyitno I, Fawzi A, Arista HD.
europepmc +1 more source
Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian +4 more
wiley +1 more source
Application of Formal Methods to the Railway Signalling Systems
Natsuki Terada, Mitsuyoshi Fukuda
openalex +2 more sources
Palliative care in surgery: Where are we at? [PDF]
Juan DWK +14 more
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Decolonizing healthcare: the role of traditional medicine in building inclusive health systems for Cameroonian women. [PDF]
Chance EA, Théophile P, Loe LR.
europepmc +1 more source

