Papers where the original authors have engaged with our plain-language explanation.
For every paper on this page, at least one of the original authors has seen our plain-language explanation and engaged with it — either confirming it reads accurately or requesting corrections that we then applied. An endorsement does not mean the authors formally approve every sentence, but it does mean the explanation has passed the eyes of the people who wrote the paper.
1335 papers reviewed by authors · 181–190 / 1335
This study demonstrates that quantitative EEG combined with explainable machine learning can identify robust, internally reproducible neural biomarkers of emotional adaptability in healthy adults, revealing that the capacity for flexible emotion regulation is underpinned by coordinated oscillatory dynamics and frontoparietal network integration.
This paper outlines the two fundamental mechanisms of solar energetic particle (SEP) production—impulsive acceleration at magnetic reconnection sites in jets and diffusive shock acceleration by fast coronal mass ejections—while detailing their distinct spectral characteristics, abundance signatures, and roles in broader solar phenomena.
This paper develops a unified effective field theory of gravity in relativistic media that treats different environments as variations of the same vacuum diagram topologies with updated propagators and vertices, thereby predicting novel phenomena such as resonant black hole Love numbers, gravitational opacity, and anisotropic Christodoulou memory with significant observational prospects for next-generation detectors.
ZetaDial introduces a post-sampling secant control framework for fixed-backbone ProteinMPNN that dynamically adjusts amino acid sequences to target specific net charges, significantly reducing charge prediction error compared to static bias methods while maintaining acceptable foldability and interface quality.
This review presents a reduction-based methodological framework that connects nonlinear wave equations to reduced dynamical systems to analyze invariant phase-space structures, stability, and waveform correspondence across diverse physical models, while identifying current methodological gaps and emphasizing physical admissibility and predictive relevance over the mere generation of formal solutions.
This paper derives an explicit equation of motion for open thermodynamic systems directly from the first law of thermodynamics, demonstrating their dynamical equivalence to driven damped harmonic oscillators and RLC circuits, and establishing a unified Lagrangian framework that reveals a common structural foundation across thermodynamic, mechanical, and electrical systems.
This study utilizes multi-wavelength surveys and radial velocity measurements to identify and confirm a population of unresolved triple and quadruple systems in the aged open cluster Trumpler 19, demonstrating their survival over nearly 4 billion years and revealing a higher multiplicity fraction compared to the similarly aged cluster M 67.
This paper introduces a squared-Hamiltonian framework demonstrating that lattice relaxation stabilizes the first magic angle in twisted bilayer graphene by balancing confinement and current-like channels near a special uniform confinement point, while simultaneously destabilizing higher-order magic angles through enhanced remote-band hybridization and localization.
This paper proposes using matrix autoregressive (MAR) models to analyze the temporal and cross-layer dependencies in dynamic multilayer networks by representing relational data as matrix-valued time series, demonstrating through an ICEWS case study that negative verbal interactions significantly drive structural reconfigurations in material-interaction layers.
This paper demonstrates that globally shared attention vectors fail to learn meaningful tunings in multi-outcome scenarios due to instability and collapse, proposing and validating an outcome-indexed attentional matrix as a robust solution for gradient-based learning and generalization.