Results 151 to 160 of about 44,882 (282)
CAF‐derived S1P activates the S1PR3‐JNK‐Jun signaling pathway, thereby transcriptionally upregulating MALL expression in cancer cells. MALL increases the cell‐surface abundance of SDC4 by promoting its recycling and restricting its lysosomal degradation, which in turn enhances RhoA‐p‐MLC2‐dependent amoeboid invasion and SDC4‐PTN axis‐mediated cancer ...
Wang Peng +16 more
wiley +1 more source
Intelligent Transport System Using Time Delay-Based Multipath Routing Protocol for Vehicular Ad Hoc Networks. [PDF]
Ghaemi Y +6 more
europepmc +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
An Optimized Node Selection Routing Protocol for Vehicular Ad-hoc Networks – A Hybrid Model
Vehicular Ad-hoc networks (VANETs) are a subset of Mobile Ad-hoc Networks made by vehicles communicating among themselves on roadways. The Routing protocols implemented for MANETs such as Ad-hoc on Demand Distance Vector Routing Protocol (AODV), Dynamic ...
Thangakumar Jeyaprakash +1 more
doaj
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks. [PDF]
Abdelkreem E, Hussein S, Tammam A.
europepmc +1 more source
Joint Optimization of Multi-Hop Broadcast Protocol and MAC Protocol in Vehicular Ad Hoc Networks. [PDF]
Pei Z +5 more
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Enhanced clustering approach for efficient relay vehicle selection in vehicular ad hoc networks. [PDF]
Kumar V +9 more
europepmc +1 more source
Review of MAC Protocols for Vehicular Ad Hoc Networks. [PDF]
Ma M, Liu K, Luo X, Zhang T, Liu F.
europepmc +1 more source

