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.

1365 papers reviewed by authors · 1191–1200 / 1365

🌀 nonlinear sciences

Non-Floquet oscillations of a parametrically driven rigid planar pendulum

This paper identifies a novel type of nonlinear oscillation in a parametrically driven rigid planar pendulum that occurs in regions predicted to be stable by Floquet analysis, characterized by periods longer than twice the driving period and a unique power spectrum where the two dominant response frequencies sum to the driving frequency.

Rebeka Sarkar, Krishna Kumar, Sugata Pratik Khastgir2026-04-27✓ Author reviewed ⓘ
🌀 pattern formation

Impurity localization, and collision properties of symbiotic dark-bright solitons in superfluid-impurity system

This paper investigates the dynamics of a two-dimensional binary Bose-Einstein condensate in the impurity limit, demonstrating that repulsive inter- and intra-component interactions enable the formation of stable, symbiotic dark-bright solitons whose collision outcomes (merging or repulsion) are determined by their relative phases.

Dileep K, S Murugesh2026-04-27✓ Author reviewed ⓘ
📊 statistics

Is K-fold cross validation the best model selection method for Machine Learning?

This paper proposes a novel K-fold CUBV statistical test that combines K-fold cross-validation with Bayesian upper bounds and concentration inequalities to provide a robust criterion for validating machine learning accuracy and detecting effects while avoiding excess false positives, particularly in scenarios with small sample sizes and heterogeneous data.

Juan M Gorriz, R. Martin Clemente, F Segovia, J Ramirez, A Ortiz, J. Suckling2026-04-24✓ Author reviewed ⓘ
🤖 machine learning

Beyond Land Surface Temperature: Explainable Spatial Machine Learning Reveals Urban Morphology Effects on Human-Centric Heat Stress

By employing a novel geographically weighted XGBoost and GAM workflow in Singapore, this study demonstrates that land surface temperature (LST) fails to adequately capture human heat stress (UTCI) because it overlooks critical physiological drivers like shading and sky view factor, highlighting the need for more human-centric metrics in climate-adaptive urban planning.

Yuan Wang, Shengao Yi, Xiaojiang Li, Pengyuan Liu, Zhiwei Yang, Ronita Bardhan, Rudi Stouffs2026-04-24✓ Author reviewed ⓘ
💰 quantitative finance

Systemic Risk and Default Cascades in Global Equity Markets: A Network and Tail-Risk Approach Based on the Gai Kapadia Framework

This study extends the Gai-Kapadia interbank contagion framework to global equity markets, revealing that while the overall system exhibits strong resilience to shocks, systemic risk is driven by the interaction between heavy-tailed loss distributions and the high clustering of emerging market subnetworks, which amplifies local propagation despite limited global spread.

Ana Isabel Castillo Pereda2026-04-23✓ Author reviewed ⓘ
🔬 physics

Quantum Correlations in Classical Systems

This paper demonstrates that a classical fluid splitter can reproduce quantum-like correlations, including Tsirelson-type Bell violations, by showing that such phenomena arise from ensemble effects on dynamically inseparable entities rather than intrinsic particle properties, thereby challenging conventional interpretations of Local Realism while remaining consistent with the Correspondence Principle.

Ghenadie N. Mardari2026-04-23✓ Author reviewed ⓘ
🔬 applied physics

In situ and operando laboratory X-ray absorption spectroscopy at high temperature and controlled gas atmosphere with a plug-flow fixed-bed cell

This paper demonstrates the capabilities of a custom-built plug-flow fixed-bed cell for high-temperature (up to 1000°C) and high-pressure (up to 10 bar) operando laboratory X-ray absorption spectroscopy, successfully resolving oxidation state changes and catalytic activity in manganese and nickel systems during CO2 methanation within 5–15 minutes per spectrum.

Sebastian Praetz, Emiliano Dal Molin, Delf Kober, Marko Tesic, Christopher Schlesiger, Peter Kraus, Julian T. Müller, Jy (…)2026-04-22✓ Author reviewed ⓘ