A Short-Term Traffic Flow Prediction Method Based on Personalized Lightweight Federated Learning. [PDF]
Dai G, Tang J.
europepmc +1 more source
Genetic‐Proteomic Integration Identifies Predictive Plasma Proteins for Multiple Sclerosis
Objective Multiple sclerosis (MS) develops after a prolonged preclinical phase. Identifying circulating biomarkers that capture this early biology can improve risk stratification and guide intervention. We aimed to identify plasma proteins driving MS susceptibility using large‐scale proteogenomic integration and to evaluate their prediagnostic ...
Yuan Ding +5 more
wiley +1 more source
Mitochondria‐Targeting Moieties Based on N‐Tethered Pyridinium Cations
Pyridinium cations were benchmarked as mitochondria‐targeting moieties in a panel of N‐tethered fluorescent‐, bioactive‐, and inert‐cargo conjugates. 3,5‐Diphenylpyridinium (DPPy+) is a competent triphenylphosphonium (TPP+) surrogate, combining high mitochondria‐targeting efficiency with lower intrinsic effects on mitochondrial function.
Ivan Džajić +27 more
wiley +2 more sources
Checkpoint data-driven GCN-GRU vehicle trajectory and traffic flow prediction. [PDF]
Guan D, Ren N, Wang K, Wang Q, Zhang H.
europepmc +1 more source
Therapeutic Applications of Stimuli‐Based Release and Engineering of Extracellular Vesicles
This review summarizes the effects of endogenous and exogenous stimuli, their effects on the natural release of extracellular vesicles, as well as their uptake and release. It also gives an overview of stimuli‐responsive EVs and their therapeutic applications. Extracellular vesicles (EVs), nano‐ to microsized lipid bilayer membrane‐bound particles, are
Gloria Kemunto, Kristen Dellinger
wiley +1 more source
Construction of a traffic flow prediction model based on neural ordinary differential equations and Spatiotemporal adaptive networks. [PDF]
Ma L, Wang Y, Lv X, Guo L.
europepmc +1 more source
A multi-feature spatial-temporal fusion network for traffic flow prediction. [PDF]
Yan J +5 more
europepmc +1 more source
An Adaptive Spatio-Temporal Traffic Flow Prediction Using Self-Attention and Multi-Graph Networks. [PDF]
Alsehaimi B +3 more
europepmc +1 more source
Proposal of a Machine Learning Approach for Traffic Flow Prediction. [PDF]
Berlotti M, Di Grande S, Cavalieri S.
europepmc +1 more source
Spatiotemporal information enhanced multi-feature short-term traffic flow prediction. [PDF]
Huang D, He J, Tu Y, Ye Z, Xie L.
europepmc +1 more source

