Active Learning Enhanced Surrogate Modeling of Jet Engines in JuliaSim [PDF]
Anas Abdelrehim +5 more
openalex +1 more source
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel +4 more
wiley +1 more source
Surrogate modeling of electrospun PVA/PLA nanofibers using artificial neural network for biomedical applications. [PDF]
Fatahian R, Erfani R.
europepmc +1 more source
Construction and Validation of a Data-Driven Static Surrogate Model for Prestressed Steel-Concrete Joints [PDF]
Li Chong +3 more
openalex +1 more source
MiR‐513a promotes human erythroid differentiation by modulating c‐Jun
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim +11 more
wiley +1 more source
An Assessment of Local Geometric Uncertainties in Polysilicon MEMS: A Genetic Algorithm and POD-Kriging Surrogate Modeling Approach. [PDF]
Roy A +5 more
europepmc +1 more source
Despite frogs avoiding low temperatures, examination of four salamander species revealed that none avoided cold and all possessed cold tolerance. Functional analysis of TRPM8, a cold sensor, showed that all salamander TRPM8s had lost their cold sensitivity.
Tadahiro Sawao +3 more
wiley +1 more source
Comparison of Hybrid Machine Learning Approaches for Surrogate Modeling Part Shrinkage in Injection Molding. [PDF]
Wenzel M +3 more
europepmc +1 more source
Surrogate Modeling of Methane Yield in Anaerobic Digestion under Heterogeneous Feedstock Conditions
К. Witaszek +3 more
openalex +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source

