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 · 131–140 / 1335
This study demonstrates that acute temperature extremes significantly constrain survival and development across all immature stages of the malaria mosquito *Anopheles coluzzii*, identifying specific thermal thresholds and linking heat tolerance to the 2La chromosomal inversion and the 1014F *vgsc* kdr mutation.
This paper establishes a conformal tensor algebra for three-view geometry that unifies correspondence constraints, provides exact rank-based degeneracy detection and new tensor representations, and demonstrates through PyTorch experiments that this structured multilinear approach improves estimation accuracy over unstructured refinement.
This paper proposes a three-variable dynamical model of ALS as a multivariable feedback instability system, demonstrating through phase-space analysis and optimal control theory that shifting therapeutic strategy from single-target inhibition to timed, closed-loop, multi-modal interventions can effectively steer the disease trajectory back to a healthy homeostatic state while balancing efficacy and toxicity.
This study demonstrates that leaf powders from *Tithonia diversifolia*, *Senna alata*, *Chromolaena odorata*, and *Eucalyptus grandis* exhibit significant insecticidal activity against the maize weevil *Sitophilus zeamais*, offering eco-friendly and sustainable alternatives to synthetic pesticides for protecting stored maize in resource-constrained settings.
This paper introduces the Unified Field Bosonization Technique (UFBT), a non-perturbative analytical framework that derives closed-form expressions for correlation functions in strongly inhomogeneous Luttinger liquids with static impurities, revealing that impurity effects modify spatial amplitudes rather than correlation exponents.
This paper provides a theoretical and qualitative comparative analysis of Faster R-CNN, Mask R-CNN, and YOLOv8 for object detection and instance segmentation, demonstrating through a custom military vehicle case study that lightweight single-stage detectors can effectively adapt to novel classes via transfer learning while outperforming two-stage models trained solely on general datasets, all within the context of evolving real-time detection architectures.
This study demonstrates that deep-learning genomic oracles fail to generalize sequence effects across different host contexts, as their predictions for regulatory element activity are highly dependent on the specific genomic location and cannot be reliably predicted by sequence features alone.
This paper highlights overlooked or underappreciated contributions to physical cosmology, particularly emphasizing Alexander Friedmann's foundational non-stationary models, Georges Lemaître's early predictions of the Big Bang and cosmic background radiation, and the premature discovery of the cosmic microwave background by T. Shmaonov, while also noting the delayed recognition of these ideas within the Soviet Union.
This paper investigates how different types of impurity scattering, particularly polarized magnetic impurities, modulate the nonlinear Hall effect in Weyl semimetals by deriving conductivity tensors within a semiclassical Boltzmann framework and revealing that while magnetic disorder introduces a helicity-dependent anisotropic correction, the isotropic response from scalar disorder remains dominant.
Using Gaia DR3 data and synthetic modeling, this study reveals that the median unresolved binary fraction in 376 local open clusters remains remarkably constant at approximately 0.29 regardless of cluster properties, suggesting a balance between competing dynamical processes that regulate global binary content over time.