✓ Reviewed

Author-Reviewed Papers

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 · 31–40 / 1335

📄 medicine

Use of large language models in German general practice: A cross-sectional survey

A 2026 cross-sectional survey of German general practitioners reveals that while approximately 80% already utilize large language models primarily for knowledge and decision support, widespread adoption is hindered by concerns over data accuracy, legal liability, and a lack of training, underscoring the urgent need for secure applications, clear regulations, and targeted education to facilitate their safe integration into primary care.

Hannah Maria Ott, Stefan Bösner2026-10-14✓ Author reviewed ⓘ
🔢 mathematics

Robust Generalized Nash Equilibria under Uncertain Shared Constraints: A Variational Approach to Decentralized Resource Allocation

This paper proposes a robust variational framework for decentralized resource allocation under uncertain shared constraints, utilizing a budgeted polyhedral uncertainty set and linear-programming duality to derive a unique, convex equilibrium that guarantees feasibility against disturbances while quantifying the trade-off between resource utilization and protection conservatism.

SOUMAYA ET-TRYKY, Khalid El Hajioui2026-10-13✓ Author reviewed ⓘ
📄 medicine

Socioeconomic inequalities and determinants of institutional delivery among women in Ethiopia: a cross-sectional analysis of the 2024-2025 Ethiopia Demographic and Health Survey

Based on the 2024–2025 Ethiopia Demographic and Health Survey, this study reveals that while 61.3% of women delivered in health facilities, institutional delivery remains significantly concentrated among socioeconomically advantaged women, with wealth, education, and urban residence being key determinants that necessitate targeted equity-focused policies.

Fazle Rabby, Md. Ripul Kabir2026-10-13✓ Author reviewed ⓘ
🌀 nonlinear sciences

Solitons in the nonlinear Schrödinger equation with the pseudo-Raman term, anti-diffusion gain and nonlinear loss

This paper introduces and analyzes a nonconservative nonlinear Schrödinger equation featuring pseudo-Raman scattering, cubic loss, and linear anti-diffusion gain, demonstrating that absorptive boundary conditions can stabilize moving solitons as fixed points within a derived balance equation system.

Evgeny M. Gromov, Boris A. Malomed2026-10-12✓ Author reviewed ⓘ
⚛️ general relativity

Learning Schwarzschild Geodesic Motion with Lagrangian Neural Networks

This paper presents the first successful training of Lagrangian Neural Networks on Schwarzschild geodesic motion by introducing a decoupled position-velocity normalization scheme and an energy-constrained sampling strategy, enabling the model to accurately reproduce relativistic effects and conserve physical quantities across diverse orbital regimes.

Sukru Caglar, Sena Kalabalik, Abdullah Umut Hamzaogullari, Arkadas Ozakin2026-10-12✓ Author reviewed ⓘ
🔭 astrophysics

Detecting redshift space distortions with forthcoming 21cm intensity maps from MeerKLASS

This paper demonstrates through simulations that the MeerKLASS 21cm intensity mapping survey can achieve a significant 6.7σ6.7\sigma detection of redshift space distortions and effectively constrain modified gravity parameters by employing a robust analysis pipeline that accounts for observational effects and leverages tomographic modeling to resolve key cosmological degeneracies.

Daniel Tassie, Steven Cunnington, David Bacon, Zhaoting Chen, José Luis Bernal2026-10-12✓ Author reviewed ⓘ
🤖 machine learning

Static Gradient Attribution Underperforms a Density-Matched Random Mask on Loss-Based Forgetting Within LoRA B-Matrix

This paper reveals that a previously overlooked parameter-pool confound in zero-initialized LoRA causes gradient attribution masks to underperform density-matched random masks in reducing loss-based forgetting, as the latter's ability to select from both A and B matrices offers a stability-plasticity advantage over gradient-based selection restricted solely to the B matrix.

Yu Sun, Junwei Zhou, Zuodong Xiang, Yike Zhang, Pengcheng Xu, Xinyu Guan, Ruoyun Ma, Hailu Xu2026-10-12✓ Author reviewed ⓘ
🔭 astrophysics

A Star's Death by a Thousand Cuts: The Runaway Periodic Eruptions of AT2023uqm

The paper reports the discovery of AT2023uqm, the second confirmed periodic partial tidal disruption event, which exhibits a unique "runaway" exponential increase in flare energy and double-peaked structures that provide critical insights into the progressive destruction of a star orbiting a supermassive black hole.

Yibo Wang, Tingui Wang, Shifeng Huang, Jiazheng Zhu, Ning Jiang, Wenbin Lu, Rongfeng Shen, Shiyan Zhong, Dong Lai, Yi Ya (…)2026-10-12✓ Author reviewed ⓘ
📄 medicine

Spatial Distribution and Multilevel Determinants of Fertility among Married Women in Ethiopia: Evidence from the 2016 Ethiopian Demographic and Health Survey

This study analyzes the 2016 Ethiopian Demographic and Health Survey data to reveal significant spatial clustering of fertility in specific regions and identifies key individual, household, and contextual determinants, highlighting the need for targeted interventions focusing on female education, family planning access, and male involvement to reduce fertility rates.

Aster Beyene Negesse, Selamawit Serka Mojo, Tesfaye Tekleselassie Gashawbeza, Awoke Derese Fenta2026-10-12✓ Author reviewed ⓘ
📄 agriculture

Mechanism of Plantation Development Based on NIIT Theory [A Unified Framework Driven by Dual Order Parameters of Habitat and Fractal Dimensions]

This paper proposes a unified dynamical framework based on NIIT Theory that utilizes habitat dimension and tree fractal dimension as dual order parameters to mathematically derive stand development trajectories and optimal densities, successfully validating the model across multiple tree species and elevating forestry growth modeling from empirical fitting to order-parameter-driven physics.

Mingyuan Wang2026-10-12✓ Author reviewed ⓘ