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.
949 papers reviewed by authors · 181–190 / 949
This paper proposes and evaluates a conceptual MEMS-enabled framework that utilizes a subset of EEG-derived features from a large dataset to develop the Smart MEMS Sedation Monitoring and Risk Index (SMORI), a unified metric for real-time anesthesia monitoring and overdose risk assessment.
This paper presents an integrated IoT-based predictive maintenance framework that combines high-resolution electrical sensing, multivariate feature engineering, and a hybrid Prophet-LSTM deep learning model to effectively detect incipient faults and quantify energy inefficiencies in industrial electrical assets.
This paper proposes a mechanism-dependent framework for porous materials, identifying that the ratio of mechanical to transport density-scaling exponents is typically near two in bending- or stability-dominated systems where transport is connectivity-controlled, while acknowledging deviations in stretching-dominated or anisotropic architectures.
This paper introduces and validates a scalar order parameter that quantifies the splitting between Lyapunov branches in non-Abelian oscillator networks, demonstrating its utility as a robust measure of non-Abelian synchronization effects in $SU(2)$ systems even under non-Hermitian perturbations.
This study evaluates the use of satellite altimetry, gravimetry, and Argo data to infer deep-ocean steric changes as a residual in sea level budgets, finding that robust regional detection remains challenging due to the method's lack of validation against long-term observations and the dominance of non-oceanographic gravity signals in certain regions like the Northeast Atlantic.
Using panel data from 100 economies spanning 1995 to 2025, this study finds that real effective exchange rate overvaluation significantly increases income inequality, particularly when misalignment exceeds an 8.7% threshold and in economies with already high income concentration.
This study demonstrates that a simplified serological algorithm using the A35R and B6R antigen pair accurately classifies MPXV exposure and vaccination status, offering a scalable alternative to complex multiplex assays for surveillance and vaccine evaluation.
Amidst the global growth of quantum science, this report leverages a worldwide survey to demonstrate that marginalized scientists face disproportionate hardships, arguing that adopting an intersectional, feminist approach to equity, diversity, and inclusion is essential for retaining talent and ensuring the resilience of the quantum ecosystem.
This study demonstrates that operant conditioning significantly shapes the sociability of Indian free-ranging dogs, where positive cues enhance approach behaviors that partially generalize to unfamiliar humans, while threatening cues induce caution and increased latency without similarly generalizing to reduce overall approach.
This paper demonstrates that hyperons in core-collapse supernovae reach local chemical equilibrium rapidly via nonleptonic reactions and significantly enhance muon (anti)neutrino opacities through semileptonic channels, thereby influencing proto-neutron star evolution and flavor-dependent neutrino transport.