Results 191 to 200 of about 20,533 (265)
A Perspective on Interactive Theorem Provers in Physics
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley +1 more source
Combining contextuality and causality: a game semantics approach. [PDF]
Abramsky S, Barbosa RS, Searle A.
europepmc +1 more source
A transfer‐free fabrication method enables multilayer graphene microelectrodes as small as 10 µm, eliminating reliability issues of manual graphene transfer. These electrodes record neural activity in brain slices with exceptional signal‐to‐noise ratios (up to 25–40 dB) while maintaining optical transparency for multimodal applications.
Nerea de Alvarez de Eulate +7 more
wiley +1 more source
Quantum contextuality, causality and freedom of choice. [PDF]
Abramsky S +3 more
europepmc +1 more source
Spectral Decomposition of Chemical Semantics for Activity Cliffs‐Aware Molecular Property Prediction
PrismNet mimics chemical intuition by functioning as a computational prism, refracting molecular graphs into complementary semantic views and spectral frequencies. This dual‐decomposition strategy effectively captures both global topologies and subtle “activity cliff” perturbations.
Chaoyang Xie +9 more
wiley +1 more source
Hidden variables, free choice, context-independence and all that. [PDF]
Dzhafarov EN.
europepmc +1 more source
Contextual fear conditioning induces BNIP3L‐dependent mitochondrial fission in glutamatergic neurons of the BLA, independently of mitophagy. Loss of BNIP3L elevates Drp1Ser637 phosphorylation, thereby suppressing mitochondrial fission, compromising ATP production, and attenuating excitatory synaptic transmission.
Xingxian Zhang +13 more
wiley +1 more source
Correction: Pavičić, M. Non-Kochen-Specker Contextuality. Entropy 2023, 25, 1117. [PDF]
Pavičić M.
europepmc +1 more source
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan +9 more
wiley +1 more source
Causality and signalling of garden-path sentences. [PDF]
Wang D, Sadrzadeh M.
europepmc +1 more source

