A flutter of blue and yellow darts through a field in late May. Trees, shrubs and summer flowers fill the landscape. A ...
Background Predicting progression to aortic valve replacement (AVR) in moderate aortic stenosis (AS) is challenging. This ...
Fingerprint matrices transform scattered light into clear images, overcoming challenges in opaque environments and paving the ...
The world of technical trading can often feel overwhelming, a blur of lines, candles, and indicators. You might recognize a Head and Shoulders pattern when you see it, but do you have a disciplined ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
LEOMs like open-source Clay automate detailed Earth mapping, enabling rapid analysis for research, government, business.
Some plants produce heat, which has long puzzled botanists. But a new study suggests that infrared radiation is an ancient ...
The research reached a surprising conclusion that dual-axis solar tracker systems are more land-intensive per kW than single-axis trackers or fixed-tilt systems. The study's data-driven approach ...
US researchers say a deep-learning framework provides the most detailed picture yet of how utility-scale solar uses land, revealing unexpected efficiency gaps and clearer pathways for agrivoltaics and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback