Results 201 to 210 of about 38,322 (299)
NFV(Network Function Virtualization)
openaire +2 more sources
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
Research on reliability mapping of 5G low orbit constellation network slice based on deep reinforcement learning. [PDF]
Xiao Y +5 more
europepmc +1 more source
Compare: Comparative Advantage Driven Resource Allocation for Virtual Network Functions
Bernardo A. Huberman, Puneet Sharma
openalex +1 more source
Hypertrophic scar formation is driven by excessive mitochondrial fission in wound macrophages, which we discover is governed by a novel AURKB‐DRP1(Ser616) axis. The study develops a targeted therapy using cRGD‐decorated extracellular vesicles to deliver the natural compound Asiaticoside specifically to macrophages.
Luyu Li +8 more
wiley +1 more source
Fault classification in the architecture of virtual machine using deep learning. [PDF]
Rawat A +4 more
europepmc +1 more source
Towards a dynamic adaptive placement of virtual network functions under ONAP
Farah Slim +3 more
openalex +2 more sources
GPCRs in CAR‐T Cell Immunotherapy: Expanding the Target Landscape and Enhancing Therapeutic Efficacy
Chimeric antigen receptor T cell therapy faces dual challenges of target scarcity and an immunosuppressive microenvironment in solid tumors. This review highlights how G protein‐coupled receptors can serve as both novel targets to expand the therapeutic scope and functional modules to enhance CAR‐T cell efficacy.
Zhuoqun Liu +11 more
wiley +1 more source
Adaptive ε-greedy exploration for stable reconfiguration in next-gen aviation IMA systems. [PDF]
Li G, Liu Z, Zhang W, Li X, Zhang T.
europepmc +1 more source
Spectral Decomposition of Chemical Semantics for Activity Cliffs‐Aware Molecular Property Prediction
PrismNet mimics chemical intuition by functioning as a computational prism, refracting molecular graphs into complementary semantic views and spectral frequencies. This dual‐decomposition strategy effectively captures both global topologies and subtle “activity cliff” perturbations.
Chaoyang Xie +9 more
wiley +1 more source

