Results 211 to 220 of about 784,260 (281)
Nanoparticle Immunoadjuvant Complexes Augment Germinal Center Responses to Vaccination
Scaffolding IL‐21 on the surface of a self‐assembling nanoparticle immunogen drives improved germinal center and humoral immune responses. These nanoparticle immunoadjuvant complexes (NICs) functionally modulate the germinal center driving improved somatic hypermutation and antibody maturation, suggesting this platform has potential utility as a ...
Nicholas J. Tursi +21 more
wiley +1 more source
Graph convolution networks based on adaptive spatiotemporal attention for traffic flow forecasting. [PDF]
Xiao H, Zou B, Xiao J.
europepmc +1 more source
A genome‐wide CRISPR screen and identifies PIK3CA as a key regulator of lipid nanoparticle (LNP) uptake is performed. Modulating PIK3CA with small‐molecule inhibitor BAY1082439 enhanced LNP uptake, siRNA delivery, and gene silencing in a variety of epithelial cells, and improved therapeutic outcomes in vivo.
Wenhan Wang, Kangfu Chen, Zongjie Wang
wiley +1 more source
An efficient intelligent transportation system for traffic flow prediction using meta-temporal hyperbolic quantum graph neural networks. [PDF]
Rajagopal M +7 more
europepmc +1 more source
A multifunctional mPDZM nanoplatform is developed in this study. mPDZM integrates chemotherapy‐induced senescence, selective senolysis, and STING‐mediated immune activation. mPDZM effectively clears senescent tumor cells, remodels the tumor immune microenvironment, and enhances antitumor T‐cell responses.
Shiji Fang +17 more
wiley +1 more source
Linear attention based spatiotemporal multi graph GCN for traffic flow prediction. [PDF]
Zhang Y +7 more
europepmc +1 more source
Tracing the evolution from structural regulation to multifunctional integration, this paper systematically analyzes modification strategies for carbon‐based electrodes. It evaluates how element doping, surface functionalization, and composite material design affect the electrode performance, and offers perspectives on future applications and challenges
Yunlei Wang +4 more
wiley +1 more source
A combined model for short-term traffic flow prediction based on variational modal decomposition and deep learning. [PDF]
Ren C, Fu F, Yin C, Lu L, Cheng L.
europepmc +1 more source
An urban road traffic flow prediction method based on multi-information fusion. [PDF]
Wu X +5 more
europepmc +1 more source
Traffic flow prediction based on spatial-temporal multi factor fusion graph convolutional networks. [PDF]
Chen YT, Liu A, Li C, Li S, Yang X.
europepmc +1 more source

