Results 321 to 330 of about 3,785,147 (434)
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez+8 more
wiley +1 more source
Implementation Method of Five-Axis CNC RTOS Kernel Based on gLink-II Bus. [PDF]
Chen L, Gao H, Li H, Xu H.
europepmc +1 more source
In this study, a new type of bioactive glass fiber ‐based composite magnesium phosphate bone cement is prepared and verified that its mechanical strength and biological properties. In addition, the cement may have played a biologically active role in the Notch and HIF signaling pathways.
Yuzheng Lu+12 more
wiley +1 more source
Influence of Rotational Speed on Accuracy in Measuring MIRS of Aerospace Aluminum Alloy by Incremental Hole-Milling Method. [PDF]
Shen J, He H, Li C, Yi Y, Huang S.
europepmc +1 more source
Energy prediction and optimization for robotic stereoscopic statue processing. [PDF]
Cheng XH+6 more
europepmc +1 more source
AISI 304L stainless steel powder is mixed with silicon nitride (Si3N4) powder and processed by PBF‐LB/M, allowing partial retention of Si3N4. The numerical approach effectively predicts the Si3N4 powder homogeneity and N content distribution on the powder bed. Recent studies have focused on the alloying of nitrogen (N) in high‐alloy stainless steels by
Yuanbin Deng+7 more
wiley +1 more source
A New Fatigue Testing Machine for Combined Bending and Torsion
Toshio NISHIHARA, Minoru KAWAMOTO
openalex +2 more sources
Prospect of Tellurium in High-Temperature Carburizing Gear Steels: An Industrial Study. [PDF]
Wang J+7 more
europepmc +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source