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 · 301–310 / 949
This study demonstrates that a Support Vector Machine (SVM) classifier, optimized using eight key features selected from the Cleveland dataset, achieves superior performance with 90.28% accuracy and a 93% AUC in predicting heart ailments compared to thirty other classifiers.
This paper presents an end-to-end, event-based framework leveraging Google BigQuery and a Mamdani fuzzy inference system to perform real-time, interpretable sepsis risk stratification on MIMIC-IV data, demonstrating that managed cloud warehouses can support temporally aware clinical analytics without specialized stream processors.
Motivated by Takei's work, this paper investigates the almost sure limit behavior of linearly edge-reinforced random walks on the half-line with specific initial edge weights in the recurrent regime, thereby extending existing results.
This paper introduces MindTailor, a framework that enhances personalized emotional support by leveraging a seeker's post history for case formulation and employing collaborative agent refinement, validated through the new ReddiSupp dataset and superior performance in empathy, personalization, and user preference compared to baselines.
By performing explicit bulk reconstructions in near-horizon modified AdS and BTZ black hole backgrounds, this paper demonstrates that extending the AdS/CFT dictionary to finite induces non-perturbative bulk micro-causality violations characterized by a throat-dependent non-locality scale and a dip-ramp-plateau structure in the spectral form factor.
This paper establishes a harmonic dimensional reduction framework that proves coupled nonlinear Schrödinger systems with stationary transverse trapping potentials can be exactly reduced to integrable hierarchies, enabling the construction of exact multidimensional solutions—including vortex-lattice breathers, vector spin currents, and rogue waves—for scalar, multicomponent, and Maxwell--Bloch systems.
DevoTG is an open-source temporal graph neural network framework that models *C. elegans* developmental connectomics by analyzing both cell lineage and synaptic connectome dynamics, successfully demonstrating the critical role of temporal memory in predicting neural development and identifying distinct connection stability classes across larval stages.
This mixed-methods study reveals that nearly half of child-targeted ultra-processed foods in Brazil contain food colorings, particularly in beverages and sweets, and highlights that while parents recognize the health risks and marketing intent of these additives, they struggle to avoid them, underscoring the need for stricter regulations and improved labeling.
This paper extends a fundamental identity for vacillating tableaux to arbitrary differential posets using their structural properties and derives new bijective proofs for Young's lattice and its Cartesian powers through a simple deletion-insertion process.
This paper presents a component ablation study of an Agentic RAG system using a local 7B model on HotpotQA, revealing that fixed hybrid retrieval and limited retrieval iterations outperform complex adaptive routing and deeper loops, demonstrating that simpler, non-adaptive designs are more effective for multi-hop QA under resource constraints.