IEEE

Proper Orthogonal Decomposition for Model Order Reduction of High Dimensional Parametric Problems with Varying Geometries Based on the Interface Adaptive Mesh

Abstract: The proper orthogonal decomposition (POD) is commonly applied for the model order reduction (MOR) of parametric problems. The method generates a reduced basis from the left singular vectors ...
IEEE

Efficient Electromagnetic Scattering Simulation of Electrically Extra-Large Problems Using Phase Information and Adaptive Mesh Automation

Abstract: In this article, an efficient simulation method is proposed to analyze extra-large electromagnetic scattering problems. With the incorporation of the traveling wave phase, the ...
Journal of Medical Internet Research

Conversational Agent Interventions for Mental Health Problems: Systematic Review and Meta-analysis of Randomized Controlled Trials

Objective: This study aims to present a thorough summary of the traits of CAIs available for a range of mental health problems, find evidence of efficacy, and analyze the statistically significant ...
ascopubs.org

Prognostic Significance of Isolated Tumor Cells and the Role of Immunohistochemistry in Nodal Evaluation in Breast Cancer: A SEER-Based Analysis and Reappraisal

In this retrospective population-based cohort study, we analyzed SEER data from 2010 to 2015, including 127,494 women with invasive breast cancer. Nodal status was classified as N0, N0(i–), N0(i+), or ...
the-decoder

Deepmind's research AI occasionally solves what humans can't and mostly gets everything else wrong

The most revealing analysis involved 700 open problems posed by Hungarian mathematician Paul Erdos, collected in an online database. Between December 2 and 9, 2025, the team turned Aletheia loose on ...