As they prepare to field the Behavioral Risk Factor Surveillance System for 2027, states can secure the important data necessary to guide policy and resource choices related to food security.

Background In 2024, Ecuador faced its most severe drought in over six decades, severely disrupting hydroelectric power ...

Sampling from Gibbs distri-butions under continuous, often nonconvex, potentials is a fundamental challenge, which hinders classical methods such as the Langevin dynamics. Existing quantum approaches ...

Abstract: This paper proposes a method for vertex-wise aggregation sampling of a broad class of graph signals, designed to attain the best possible recovery based on the generalized sampling theory.

ABSTRACT: This study conducts a qualitative content analysis of the French magazine “Jeune Afrique”’s coverage of Ibrahim Traoré, the transitional president of Burkina Faso. Using framing theory, the ...

Introduction Effective community-based disease management is essential for public health. In low- and middle-income countries, sustainable strategies for timely diagnosis and treatment are a research ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...

Abstract: In this communication, a new sampling method called the knowledge-based sampling method (KBSM) is proposed for deep learning (DL)-assisted planar antenna array design. This approach uses ...

Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...

How do you design a study that captures human experience as it unfolds in real time? In this episode, Under the Cortex explores the Experience Sampling Method (ESM), a powerful approach for studying ...

Monte Carlo sampling methods form a cornerstone of contemporary statistical inference by enabling the approximation of complex integrals and posterior distributions that defy analytical solution. At ...