Results 181 to 190 of about 32,501 (269)
Clarifying the origin of pseudocapacitance from a perspective of RuO<sub>2</sub>. [PDF]
Yan W, Dong T, Zhang W, Zheng W.
europepmc +1 more source
A multifunctional HA‐conjugated nanoplatform (HA‐PGMC) integrates CuO2, glucose oxidase, and mil‐100 to enable cascade catalytic ROS generation in tumor microenvironments. This self‐supplying ROS strategy induces immunogenic cell death, reprograms “cold” tumors into “hot” ones, and synergizes with PD‐L1 blockade, achieving potent chemodynamic ...
Man Lung Lee +6 more
wiley +1 more source
Emergent discrete space-time crystal of Majorana-like quasiparticles in chiral liquid crystals. [PDF]
Zhao H, Zhang R, Smalyukh II.
europepmc +1 more source
A multifunctional nanoagonist (cDZ@IP) enables nano‐metabolite–driven multimodal activation of the STING pathway and enhanced immune recognition, achieving potent antitumor immunity and suppressing tumor growth and metastasis. This strategy highlights the rational design of therapeutic metabolites and establishes a new paradigm bridging nanomedicine ...
Kepeng Hu +17 more
wiley +1 more source
OTFS channel estimation method based on IBO-dynamic gated Bi-GRU. [PDF]
Hou J, Wei Z, Ji Y, Deng X.
europepmc +1 more source
Hierarchically Soft Porous MOF‐Polymer Monolith for Fast and Large‐Scale Moisture Buffering
A soft, hierarchical porous monolith that combines metal–organic frameworks (MOFs) with a thermoresponsive polymer matrix enables rapid, large‐scale moisture buffering. The synergistic interface facilitates high‐capacity water capture and low‐energy release for sustainable indoor dehumidification.
Guangxin Ma +9 more
wiley +1 more source
Methodological Development and Theoretical Framework for the Isotopic Analysis of Mass Spectral Fragments of Phytol Using Orbitrap Mass Spectrometry. [PDF]
Tomečková Öztoprak M +4 more
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source

