This study reports the development of antibacterial ceramic scaffolds derived from natural bovine bone. The bones were processed through sequential boiling and hydrogen peroxide treatment to remove organic matter, producing porous, mineral‐rich scaffolds.
Mohamad Hassan Taherian +6 more
wiley +1 more source
Machine Learning-Based probabilistic prediction of glacial lake formation using erosional and topographic features. [PDF]
Vashistha A, Dashora A, Shah AA.
europepmc +1 more source
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley +1 more source
Projecting the effect of climate change on multiple Geomorphological hazard using machine learning data driven approaches. [PDF]
Kariminejad N +3 more
europepmc +1 more source
Nondestructive Testing of Welded Composite Metal Foams
X‐ray computed tomography (CT) is used to evaluate welded steel–steel composite metal foam (CMF) joints of two density classes. It reports variation in postweld spatial void distribution and correlates it to weld‐induced changes, mechanical performance, and failure within welded CMF panels.
Chinmaya Prerana Inguva +2 more
wiley +1 more source
Central American Mangrove Blue Carbon: Distribution, Dynamics and Future Directions. [PDF]
Girkin NT +10 more
europepmc +1 more source
Landslide susceptibility assessment using hybrid geospatial, frequency ratio, and AHP models in Souk Ahras province, Northeastern of Algeria. [PDF]
Rebouh N +9 more
europepmc +1 more source
Modeling Debris Flow Events in the Rio Inferno Watershed (Italy) Through UAV-Based Geomorphological Survey and Rainfall Data Analysis. [PDF]
Turbessi L +4 more
europepmc +1 more source
Comparative assessment of landslide susceptibility in Fugu town using machine learning models at multiple grid resolutions. [PDF]
Ni S, Xie Y.
europepmc +1 more source

