Results 231 to 240 of about 165,979 (317)

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

open access: yesAdvanced 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   +16 more
wiley   +1 more source

On the makeup of high-impact reviews in ecology. [PDF]

open access: yesEco Environ Health
Veresoglou SD, Agathokleous E.
europepmc   +1 more source

Spatially Separated Redox Centers in One‐Dimensional Sp2‐Carbon Covalent Organic Frameworks Enable Synergistic Photocatalytic Palladium Recovery and Bisphenol A Mineralization

open access: yesAdvanced Science, EarlyView.
A one‐dimensional sp2‐carbon covalent organic framework with spatially segregated redox centers integrates a dual photosensitizing system and a cationic interface for synergistic photocatalysis. The material achieves exceptional palladium recovery (1749 mg g−1) and bisphenol A mineralization (0.1710 min−1) without sacrificial agents, demonstrating ...
Yi‐Ru Chen   +9 more
wiley   +1 more source

Triple‐Mode Ferroelectric Thin‐Film Transistor for Hybrid Electrical–Optical Reservoir Computing

open access: yesAdvanced Science, EarlyView.
A triple‐mode ferroelectric thin‐film transistor is developed by integrating Si3N4/HZO/IGZO layers to realize three independent memory modes: electric long‐term, electric short‐term, and optical short‐term. This single‐device architecture functions as both a reservoir and readout layer, achieving 92.43% MNIST accuracy. It offers a fully hardware‐based,
Hyeonho Lee   +9 more
wiley   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

open access: yesAdvanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang   +5 more
wiley   +1 more source

Construction and validation of the Emotional Trust in Artificial Intelligence Scale (CEIA). [PDF]

open access: yesFront Psychol
Briones-Llamoctanta BE   +3 more
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

open access: yesAdvanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai   +3 more
wiley   +1 more source

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