An in-depth examination of the fuzzy fractional cancer tumor model and its numerical solution by implicit finite difference method. [PDF]
Zureigat H +4 more
europepmc +1 more source
This study demonstrates that the dual delivery of BMP‐2/‐7 coding cmRNAs for bone healing is demonstrated as feasible, safe, and highly osteogenic. Compared to single BMP‐2 or BMP‐7 cmRNAs, the combination enhances the production of both mineral and organic components of the extracellular matrix when delivered using a collagen‐HA scaffold, supporting ...
Claudia Del Toro Runzer +7 more
wiley +1 more source
Comparing certain classes of difference and finite element methods for a hyperbolic problem
Blair Swartz
openalex +2 more sources
3D Concrete Printing of Triply Periodic Minimum Surfaces for Enhanced Carbon Capture and Storage
A 3D‐printable and carbon‐capturing concrete is developed by replacing cement with diatomaceous earth (DE), which enhances rheology, provides hierarchical porosity, and serves as a nucleation site for carbonation. Maximum absorption of 488.7 gCO2 kgcement−1 is achieved in 7 days, a 142% increase over conventional concrete, and the triply periodic ...
Kun‐Hao Yu +9 more
wiley +1 more source
A conformable fractional finite difference method for modified mathematical modeling of SAR-CoV-2 (COVID-19) disease. [PDF]
Zanib SA +5 more
europepmc +1 more source
Advances in Micro/Nanofiber‐Based Porous Materials for High‐Performance Thermal Insulation
Micro/nanofiber porous materials have engendered great interest in the thermal insulation field. Herein, the structural designs, fabrication techniques, and applications of the micro/nanofiber thermal insulation materials are systematically summarized.
Xiaobao Gong +5 more
wiley +1 more source
Study on deformation of tunnel pile foundation based on discrete element method and finite difference method. [PDF]
Zhao Z, Zhang Y, Dai F.
europepmc +1 more source
Optimized absorbing boundary conditions for the analysis of planar circuits using the finite difference time domain method [PDF]
C.J. Railton +3 more
openalex +1 more source
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source

