Global Intelligence Database
Researchers have developed a Graph Convolutional Network (GCN) that accurately predicts how drugs dissolve in binary solvent mixtures. This deep learning model outperforms traditional machine learning methods and could reduce the need for time-consuming laboratory experiments by up to 80 per cent.
By Amiri, Khaleseh
The world's largest parrot is recovering from the brink of extinction, but scattered data threatens its long-term survival. A new analysis maps decades of research to reveal hidden blind spots in our knowledge of the species. To save these birds, scientists must look beyond the well-studied southern Pantanal.
By de Oliveira, Pedro
A systematic review examines whether molecular data can reliably substitute traditional morphological classification in river ecology. While high-throughput sequencing offers speed, significant doubts remain regarding its ability to replicate established ecological theories derived from physical specimens.
By Zhang, Yang, Liang, Zhang, Zhu, Yang, Fan, Li
Researchers have identified a protein, OsPIL11, which acts as a natural limit on rice yield. Disabling this genetic regulator results in significantly heavier and more numerous grains, offering a clear target for breeding high-yield crop varieties.
By Peng, Li, Zhai, Jiang, Liu, Xu, Zhou, Zheng, Xie