The rising incidence of allergic disorders has emerged as a pressing public health issue worldwide, underscoring the need for intensified research and efficacious intervention measures. Accurate ...

A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

Neutrinos are elementary particles that are predicted to be massless by the standard model of particle physics, yet their ...

Humans can remember various types of information, including facts, dates, events and even intricate narratives. Understanding ...

Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives ...

Background Child dental caries is highly prevalent worldwide, with significant treatment costs, but its broader societal ...

Scientists in Switzerland have conducted techno-economic analysis of perovskite solar module manufacturing costs in terms of ...

Background Immune-mediated processes leading to childhood type 1 diabetes may begin in fetal life. We hypothesised that a ...

While sparsity-regularization is well-studied in the statistics and machine learning communities, those analysis methods cannot be applied to autoregressive generalized linear models because of the ...

Generalized linear models (GLMs, table 2) are a flexible and powerful class of statistical models widely used in multivariable analysis, which include traditional linear regression, but also extend ...

Generalized additive models (GAMs) are different; they build upon the generalized linear model (GLM) by allowing the shapes of the relationships between response and covariates to be learned from the ...