Results 121 to 130 of about 988 (213)
Entropy Production and Irreversibility in the Linearized Stochastic Amari Neural Model. [PDF]
Lucente D, Gradenigo G, Salasnich L.
europepmc +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Glutathione‐Responsive Acyl‐Modifications for Targeted RNA Decaging and Prolonged Protein Synthesis
The self‐immolation of disulfide‐based mRNA modifications in response to endogenous glutathione (GSH) promotes a gradual release of translatable mRNA within the cell, leading to improved nuclease resistance, tunable release properties, and a significant increase (up to 600%) of target protein production over time. This strategy offers an exciting proof
Mary E. Flood +6 more
wiley +2 more sources
Collectively-Modified Intermolecular Electron Correlations: The Connection of Polaritonic Chemistry and Spin Glass Physics. [PDF]
Sidler D, Ruggenthaler M, Rubio A.
europepmc +1 more source
Inspired by the Mexican jumping bean, this study presents a centimeter‐scale, electronics‐free robot that merges principles from both the animal and plant kingdoms. A thermo‐responsive actuator mimicking larval motion, enclosed within a uniquely shaped plant‐seed‐inspired shell, generates jumping, rolling, flipping, sliding, and climbing through ...
Ragesh Chellattoan +3 more
wiley +1 more source
Quantum vibrational spectroscopy with classical trajectories. [PDF]
Conte R, Aieta C, Ceotto M.
europepmc +1 more source
Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia +3 more
wiley +1 more source
Resolving sequential electron-proton transfer kinetics for electrochemical CO<sub>2</sub> reduction at the Cu(100)/H<sub>2</sub>O interface <i>via</i> a quantum-classical framework. [PDF]
Yang Y, Fu G.
europepmc +1 more source
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou +5 more
wiley +1 more source
Intrinsic and Measured Information in Separable Quantum Processes. [PDF]
Gier D, Crutchfield JP.
europepmc +1 more source

