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.
948 papers reviewed by authors · 31–40 / 948
This study validates through finite element micro-modeling that polyurea coatings significantly enhance the cyclic shear performance, energy dissipation, and residual displacement characteristics of dry-joint stone masonry walls, establishing them as an effective seismic retrofitting solution.
This paper proposes the Resonance of Closed Neural Network Geometries (RCNNG) framework, which posits that perception and consciousness emerge from stable resonant attractors in recurrent neural circuits, where perceptual stability and subjective experience ("innergence") arise from the mapping of input-driven closed neural geometries to their intrinsic resonant identities rather than their physical structures.
By applying a deterministic metabolic CO2 mass balance model to experimental data, this study demonstrates that a functional intrapulmonary shunt of approximately 2.39%—previously obscured by inert gas techniques due to methodological limitations—is the primary determinant of the widened alveolar-arterial PO2 difference during heavy normoxic exercise, offering a noninvasive analytical framework for cardiorespiratory monitoring.
This paper introduces a cost-efficient, training-free Fourier correction protocol that quantifies and adjusts specific low-frequency amplitude mismatches between synthetic and real construction images to significantly improve cold-start segmentation performance for rare safety-critical classes without requiring extensive unlabeled target data or generative models.
This paper proposes a Domain Knowledge-Enhanced LLM framework that integrates structured insights with a two-stage detection system to effectively identify deceptive conversations and classify concept drift as benign or fraudulent, achieving 98% accuracy on the SEConvo dataset while outperforming zero-shot baselines in high-stakes NLP applications.
Using ultra-deep imaging to overcome scattered light limitations, researchers determined that IC 1101 is the largest known galaxy with a confirmed diameter of approximately 520 kpc, while also revealing that its outskirts exhibit ongoing mass assembly and asymmetrical features linked to intracluster medium disturbances.
This short review establishes terahertz time-domain spectroscopy (THz-TDS) as a universal, non-destructive tool for quantifying and identifying specific grain-boundary defects in various organic-inorganic hybrid perovskite solar cells, proposing a three-pillar framework to guide defect engineering and enhance device efficiency through a closed-loop quality-control cycle.
This retrospective cohort study of 331 newly initiated HIV patients at Bamenda Regional Hospital found a 7.6% three-year mortality rate significantly associated with male sex, opportunistic diseases, comorbidities, abnormal liver enzymes, and advanced WHO clinical stage, highlighting the need for early diagnosis and integrated management of these risk factors.
This paper presents the design, laboratory validation, and successful early 2025 commissioning of FiberPol, a compact fiber-fed spectropolarimetric system for the SAAO 1.9 m telescope that achieves preliminary polarization accuracy of 0.2–0.3% and serves as a technology pathfinder for future large-facility polarimetry.
This paper introduces a class of -deformed fractional order maps that unify memoryless and classical fractional dynamics by replacing binomial kernels with Gaussian coefficients, revealing a continuous transition of stability regions from circles to cardioids via crescents and demonstrating how deformation parameters control the shift from power-law to exponential memory decay.