Understanding how plant architectural traits change over time is essential for improving crop breeding efficiency and production management. 

Effective hydrophobic barriers were essential for plants to survive on land, yet how these barriers became specialized across different tissues has remained unclear. 

 Undiagnosed trauma is a silent driver of chronic illness, often missed by healthcare systems. This study introduces Emotional Memory Images (EMIs) as subconscious imprints formed in overwhelming moments that continue to affect mental and physical health, offering a rapid, non-invasive method to clear them.

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their applications in improving industrial efficiency and flexibility. It also examines the challenges, including data deficiencies and complexity, and suggests future directions for integrating LLMs into complex engineering processes.

A new study in Engineering introduces a novel MRI technique enabling real-time, artifact-free navigation of magnetic robots. Using a multi-frequency dual-echo sequence, researchers achieved a 30-millisecond repetition time, allowing precise control and high-resolution imaging. Demonstrations in maze, phantom vessel, and in vivo trials highlight its potential for minimally invasive therapies.

New review shows that guiding pollutant motion with electric fields and 3D-printed hierarchical pores can slash fan energy and double removal rates, offering a practical blueprint for next-generation, low-resistance air purifiers.

Plants rely on efficient internal transport systems to distribute essential mineral nutrients, yet how this distribution is spatially organized within complex plant structures remains poorly understood. 

Structural variations (SVs)—large-scale changes in DNA sequence—play a crucial role in shaping traits such as yield, quality, and environmental adaptation in crops.