252 papers
This study analyzes longitudinal data from China and Europe to reveal that while having one or two children generally protects cognitive function in older adults, the specific gender composition of offspring significantly impacts cognitive trajectories only in China due to cultural and social welfare differences, whereas no such gender effect is observed in Europe.
SunBURST is a deterministic, GPU-native algorithm that efficiently computes high-dimensional Bayesian evidence by combining ray-cast mode discovery, batched L-BFGS refinement, and Laplace integration to achieve sub-percent accuracy in seconds for near-quadratic targets, while explicitly defining its limitations regarding non-quadratic or heavy-tailed distributions.
This paper introduces a Bayesian bootstrap ensemble of low-rank models that overcomes the scalability limitations of existing uncertainty-aware causal discovery methods, enabling efficient and well-calibrated posterior edge probability estimation for high-dimensional genomic data (up to ) where traditional approaches fail.
This bibliometric study of 347 Chemical Engineering doctoral dissertations from five Andhra Pradesh universities reveals that supervisor productivity largely conforms to Lotka's Law, citation patterns have significantly evolved toward higher volume and online sources over time, self-citation rates remain low, and the INFLIBNET e-ShodhSindhu consortium provides extensive coverage of the field's core journals, thereby transforming the region's research information environment.
This paper proposes a hybrid Neutrosophic Repetitive Dependent-State Sampling Plan (NH-RDSSP) for truncated cycle-life testing of Lithium-ion batteries that integrates resampling and lot-history dependency while modeling batch-to-batch uncertainty via triangular neutrosophic numbers, validated through closed-form derivations and calibration against real-world data from four independent sources.
This paper proposes three domain-adaptive variants of the Cuckoo Search algorithm tailored for structured statistical optimization problems in principal curve estimation, single-cell trajectory inference, and exact experimental design, demonstrating their superior performance over standard metaheuristics in multimodal and mixed-integer settings while highlighting the trade-off between accuracy and computational cost.
This paper introduces the novel Complementary Bell-Kumaraswamy-G (CBell-Kw-G) family of distributions, a flexible statistical framework for modeling complex lifetime and reliability data that is rigorously analyzed through theoretical derivation, maximum likelihood estimation, and validation on real cancer survival datasets.
This study utilizes a deterministic SEIR-SEI mathematical model to demonstrate that interrupting malaria transmission among children under five in the Democratic Republic of the Congo is mathematically feasible only through a synergistic combination of innovative interventions achieving 80% coverage, as individual strategies or current coverage levels remain insufficient to reduce the basic reproduction number below unity.
This methodological simulation study evaluates the statistical power and design behavior of a proposed cluster-randomised field experiment in rural China comparing targeted anti-fraud communication with non-tailored education, demonstrating that the design can effectively detect primary effects while confirming that the reported results reflect simulation properties rather than real-world intervention efficacy.
This simulation study demonstrates that at the small effect sizes typical of clinical prediction model comparisons, the declared "winner" is frequently determined by random data splitting rather than true model superiority, leading to inflated performance margins and significant disagreement between analysts using the same data.