Results 151 to 160 of about 43,790 (286)

Cancer‐Associated Fibroblast‐Derived Sphingosine‐1‐Phosphate Activates a MALL–SDC4 Axis to Facilitate Perineural Invasion in Pancreatic Cancer

Advanced Science, EarlyView.
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, Mengdie Cao, Hai Huang, Shuya Bai, Luyao Liu, Jingwen Liang, Haochen Cui, Qiaodan Zhou, Shiru Chen, Jiamei Jiang, Luoxia Liu, Zhou Luan, Wei Chen, Si Xiong, Ronghua Wang, Bin Cheng, Yuchong Zhao   +16 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
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, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

A Game Theory Algorithm for Intra-Cluster Data Aggregation in a Vehicular Ad Hoc Network. [PDF]

Sensors (Basel), 2016
Chen Y, Weng S, Guo W, Xiong N.
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
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, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

SVANET: A smart vehicular ad hoc network for efficient data transmission with wireless sensors. [PDF]

Sensors (Basel), 2014
Sahoo PK, Chiang MJ, Wu SL.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
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, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Lightweight consortium blockchain-enabled secured Vehicular ad Hoc Network using certificateless conditional privacy-preserving authentication mechanism. [PDF]

PLoS One
Ilyas I, Din IU, Alourani A, Ashraf MU.
europepmc   +1 more source

Road Accident Prevention with Instant Emergency Warning Message Dissemination in Vehicular Ad-Hoc Network. [PDF]

PLoS One, 2015
Gokulakrishnan P, Ganeshkumar P.
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Multi-Layered Unsupervised Learning Driven by Signal-to-Noise Ratio-Based Relaying for Vehicular Ad Hoc Network-Supported Intelligent Transport System in eHealth Monitoring. [PDF]

Sensors (Basel)
Nauman A, Iqbal A, Khurshaid T, Kim SW.
europepmc   +1 more source