Results 81 to 90 of about 10,094,639 (283)
Short‐Term Traffic Flow Forecasting of Urban Rail Transit Based on Fractal Theory
Based on the analysis of the short-term traffic flow, this paper aims to explore that the flow has a feather of randomness and nonlinearity, which has the chaotic characteristics meanwhile.
Huang, Yuanchun, Li, Jian
core +2 more sources
Research on the Application of Intelligent Algorithm in Short-Term Traffic Flow Forecast
In recent years, with the vigorous development of intelligent transportation systems, traffic control and traffic flow guidance have become popular issue of intelligent transportation systems (ITS). The key issue to achieve traffic control guidance is to
Wang DP(王丹萍) +2 more
core
Vascular Aβ40 corrupts GRP78 phase behavior in brain endothelial cells, sustaining IRE1α–TRAF2–JNK signaling and driving apoptosis, tight junction loss, and blood–brain barrier failure in cerebral amyloid angiopathy. Pharmacological IRE1α inhibition restores vascular integrity, reduces leakage, and improves functional outcomes, revealing a targetable ...
Honglin Zheng +19 more
wiley +1 more source
Layered ensemble model for short-term traffic flow forecasting with outlier detection [PDF]
YesReal time traffic flow forecasting is a necessary requirement for traffic management in order to be able to evaluate the effects of different available strategies or policies.
Amr Abdullatif +8 more
core +1 more source
ICOS‐immunoPET noninvasively visualizes activated T cells in melanoma brain metastases following combined anti‐PD‐1/anti‐CTLA‐4 therapy. Clinical translation of this imaging approach may improve patient stratification and treatment monitoring and serve as a quantitative imaging endpoint to support immunotherapy development and clinical trials in brain ...
Renesmee C. Kuo +10 more
wiley +1 more source
A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting
Forecasting the traffic flow is a critical issue for researchers and practitioners in the field of transportation. Using the graph convolutional network (GCN) is widespread in traffic flow forecasting. Existing GCN-based methods mostly rely on undirected
Zhaoyang Li +7 more
core +1 more source
Matrix stiffness softening is identified as a previously underappreciated feature in deep caries. Higher stiffness drives exosome release in dental pulp stem cells through a coordinated mechanism involving PI3K–AKT‐regulated Baiap2 and kinesin‐1, thereby promoting odontogenic differentiation.
Bilun Jin +10 more
wiley +1 more source
Traffic-Flow Prediction Using T-AGCN Based on an Adaptive Search Graph Fusion Mechanism
The rapid growth in traffic volumes has increased the demand for traffic-flow forecasting models with stronger prediction capability. Traditional methods that rely on local feature extraction and static spatial graph construction can no longer fully meet
Hai Yan +3 more
doaj +1 more source
USP5 Stabilizes TGFBR1 to Drive Vascular Smooth Muscle Cell Senescence and Atherosclerosis
This study reveals that USP5 drives vascular smooth muscle cell senescence and atherosclerosis by stabilizing TGFBR1, suppressing IDH2, and promoting glycolytic reprogramming, identifying the USP5‐TGFBR1‐IDH2 axis as a potential therapeutic target. ABSTRACT Vascular smooth muscle cell (VSMC) senescence contributes importantly to atherosclerotic plaque ...
Xinhai Cui +5 more
wiley +1 more source
FES‐derived MGE spheroids exhibit progenitor‐stage alterations in developmental trajectory and hypoxia‐responsive transcriptional programs, followed by functional disruption. Gestational hypoxia recapitulates impaired progenitor proliferation, shortened cell‐cycle progression, interneuron developmental abnormalities, and schizophrenia‐like behaviors in
Peiyan Ni +17 more
wiley +1 more source

