“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Abstract: Inverse problems in medical imaging, such as undersampled magnetic resonance imaging (MRI) and sparse-view computed tomography (CT) reconstruction, are essential yet challenging tasks for ...

Introduction Anxiety disorders are among the most common co-occurring mental health conditions experienced by autistic youth. Without appropriate intervention, anxiety disorders and related ...

Background: Human papillomavirus (HPV) infection is the primary cause of cervical cancer, and HPV self-sampling has emerged as a novel screening method with the potential to increase screening ...

In this talk, we introduce a sampling-based semi-Lagrangian adaptive rank (SLAR) method, which leverages a cross-approximation strategy - or pseudo-skeleton decomposition - to efficiently represent ...

TracePicker is an optimization-based online sampler designed to improve the quality of sampled traces while alleviating storage burden. TracePicker incorporates a streaming anomaly detector to enhance ...

School mathematics mainly embraces algorithmic problem solving, pays less attention to strategic reasoning, and rarely contains insightful problem solving. Based on our previous research, we ...

ABSTRACT: The study’s primary objective was to explore those factors that contribute to the success of women’s entrepreneurship in Nairobi County, Kenya. Empirical research was conducted among a ...