Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

Discover why surface chemistry matters and how XPS imaging modes enable deeper insight into materials performance.

Researchers have shown, for the first time with very high time and spatial resolution, that electrons in certain ...

SANTA CLARA, MD, UNITED STATES, January 5, 2026 /EINPresswire.com/ — OmicInsight Corporation (hereinafter “OmicInsight”), a pioneer in AI-driven high-sensitivity spatial omics analysis, today ...

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

Collagen is the most abundant protein in the human body and has an important role in healthy tissue as well as in a range of prevalent diseases. Medical research and diagnostics hence call for means ...

The latest spatial display glasses from Xreal can convert all in-display content to 3D, and with the Neo DisplayPort and battery hub, it can stream games from the Nintendo Switch 2. Here's what Xreal ...

Accurate segmentation is crucial for clinical applications, but existing models often assume fixed, high-resolution inputs and degrade significantly when faced with lower-resolution data in real-world ...

Abstract: Landslides are among the most common natural disasters globally, posing significant threats to human society. In recent years, deep learning (DL) has been widely applied to rapid landslide ...

1 Uluslararası Coğrafi Mekansal Zeka Araştırmaları Derneği, Ankara, Türkiye. 2 Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA. 3 Faculty of Engineering, Çankaya ...

Satellite remote sensing data is essential for large-scale, timely, and repeatable monitoring of forest species diversity. While various methods have been applied to satellite-based diversity ...