Results 181 to 190 of about 5,189,325 (247)
An improved transformer based traffic flow prediction model. [PDF]
Liu S, Wang X.
europepmc +1 more source
Mesenchymal GSCs preferentially uptake palmitic acid, thereby promoting ZDHHC12‐mediated LDHA palmitoylation. This modification enhances LDHA enzymatic activity, drives glycolytic reprogramming, and facilitates exosomal LDHA‐mediated TAM regulation.
Zijie Gao +20 more
wiley +1 more source
Spatio-temporal transformer and graph convolutional networks based traffic flow prediction. [PDF]
Zhang J, Yang Y, Wu X, Li S.
europepmc +1 more source
Leveraging Microphysiological Systems to Facilitate Neutrophil‐Based Cancer Immunotherapy
Microphysiological systems are emerging as powerful human‐relevant platforms for studying neutrophil biology in cancer. Current applications of spheroids, organoids, and organ‐on‐a‐chip models are reviewed, together with future opportunities in behaviorome profiling, multi‐omics integration, personalized medicine, immune crosstalk, and multi‐organ ...
Shuai Shao +2 more
wiley +1 more source
Multi-scale spatio-temporal graph neural network for urban traffic flow prediction. [PDF]
Chen H, Huang J, Lu Y, Huang J.
europepmc +1 more source
A new class of lysosome‐directed molecular glue degraders selectively enhance CAPRIN1–APP interactions, driving APP degradation and reducing amyloid‐β production in human neurons and Alzheimer's disease mouse models. This CAPRIN1‐dependent targeted protein degradation strategy reveals a previously unrecognized therapeutic approach for disrupting the ...
Sunghan Jung +15 more
wiley +1 more source
Application effect of short-term traffic flow prediction method based on CNNBLSTM algorithm. [PDF]
Sui G +5 more
europepmc +1 more source
Single‐Cell Profiling Reveals Clonally Expanded CX3CR1+ T Cells in Anti‐NMDA Receptor Encephalitis
CX3CR1+ T cells are associated with peripheral and central immune alterations in anti‐NMDA receptor encephalitis (NMDAR‐E). They show potential responsiveness to GluN1 (NR1) peptides, potential interactions with peripheral B cells, clonal expansion, increased CD137/CD154 expression, and inflammatory cytokine production. Their preferential cerebrospinal
Lin Yan +13 more
wiley +1 more source
Dynamic graph convolutional networks with Temporal representation learning for traffic flow prediction. [PDF]
Zhang A.
europepmc +1 more source

