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.
1336 papers reviewed by authors · 381–390 / 1336
This study provides the first comprehensive characterization of human pre-miRNA terminal loop regions, revealing distinct sequence architectures defined by specific length distributions, positional nucleotide biases, and enriched motifs that may influence miRNA biogenesis and protein interactions.
This paper develops and calibrates a continuous-time optimal-control model to demonstrate that cross-country disparities in chronic disease burdens and health spending are driven by structural differences in health-system productivity rather than policy errors, implying that simply increasing low-income countries' health spending without improving productivity yields minimal welfare gains.
This paper introduces LatentLens, a novel interpretability method that maps visual token representations in vision-language models to semantically meaningful natural language descriptions by identifying their nearest neighbors in a contextualized text corpus, thereby revealing that visual tokens are far more interpretable across all model layers than previously understood.
This study investigates the potential association between planetary nebulae and open clusters by reclassifying a candidate central star as a blue supergiant and demonstrating that the nearby clusters HSC 2686 and Lynga 3 are not real, thereby casting doubt on the validity of many newly identified open clusters with few member stars.
This paper introduces SCPP, an open-source Python library that provides a unified, scikit-learn-compatible framework integrating 40 diverse soft clustering algorithms with standardized interfaces, comprehensive benchmarking tools, and extensive documentation to facilitate reproducible research and easy extension within the scientific Python ecosystem.
This study utilizes Quantile Vector Autoregression and R²-based connectedness models to demonstrate that seven major African stock markets are deeply integrated with global geopolitical, oil, energy, and climate policy uncertainties, revealing that these spillovers are asymmetric and regime-dependent, with geopolitical and oil risks acting as dominant shock transmitters while specific African markets like NSE, DSE, and CSE serve as net transmitters amidst varying market conditions.
This study at Lira Regional Referral Hospital reveals a high 40.6% prevalence of vulvovaginal candidiasis among pregnant women, driven by factors such as high parity and antibiotic use, with a significant shift toward non-albicans species and alarming nystatin resistance that underscores the need for Clotrimazole as a preferred treatment.
This paper proposes a conceptual graph-based framework that models scuba dives as temporal social networks, representing divers and their interactions across physical, communicative, and emergency dimensions to lay the groundwork for future research aimed at enhancing diver safety and coordination.
This study integrates classical multivariate stability analyses (AMMI, GGE, GYT) with Bayesian modeling to evaluate 30 forage sorghum genotypes across diverse environments, identifying specific high-yielding and stable varieties (notably G30, G24, G21, and G25) while demonstrating that combining frequentist and probabilistic approaches provides a robust framework for risk-based cultivar selection in climate-resilient forage improvement.
This study provides genomic and transcriptomic evidence that clinical *Mycobacterium tuberculosis* isolates exhibit greater genome plasticity than previously thought, driven by IS6110-mediated recombination that generates diverse fusion transcripts and DNA-level rearrangements across independent datasets.