Results 221 to 230 of about 2,288,742 (339)
Hybrid piezoelectric scaffolds offer a promising route for Central Nervous System regeneration by combining structural and electrical cues to support neural stem cell growth. This review highlights their potential to overcome current challenges in neural tissue engineering by exploring porous hybrid materials, their biological interactions, and ...
Heather F. Titterton +2 more
wiley +1 more source
Neonatal and Birth Risk Factors for Type 1 Diabetes Mellitus: Prediction Using an Artificial Neural Network. [PDF]
Cobuz C, Ungureanu-Iuga M, Cobuz M.
europepmc +1 more source
SAA significantly enhanced Al/PU bonding, increasing SLSS by up to 920% and fracture energy by 15 100% through optimized micro‐nano porous surfaces. RSM identified the optimal anodizing conditions, while ML confirmed sulfuric acid concentration and roughness as dominant predictors of strength.
Umut Bakhbergen +6 more
wiley +1 more source
Artificial neural network (ANN) based prediction of proppant settling in horizontal wellbores during hydraulic fracturing. [PDF]
Jumaa M, Alajmei S, Hassan A, Bahri A.
europepmc +1 more source
Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley +1 more source
Microencapsulation of Black Carrot Pomace Bioactive Compounds: Artificial Neural Network Modeling of Cytotoxicity on L929 Fibroblast Cells. [PDF]
Önal R +3 more
europepmc +1 more source
Additive manufacturing revolutionizes production by enabling on‐demand, customized, and sustainable manufacturing with streamlined supply chains. While metal and polymer AM are well‐established, advanced ceramic AM is rapidly emerging, overcoming traditional material challenges.
Kateryna Oleksandrivna Shvydyuk +2 more
wiley +1 more source
Artificial Neural Network as a Tool to Predict Severe Toxicity of Anticancer Drug Therapy in Patients with Gastric Cancer: A Retrospective Study. [PDF]
Stanojevic U +3 more
europepmc +1 more source

