Organic porous structures on 2-D defect networks

NUS scientists have developed a method for self-assembly of hexagonal organic porous structures on molybdenum diselenide (MoSe2) film to create ordered nanostructures.

Molecular energy machine as a movie star

Researchers at the Paul Scherrer Institute PSI have used the Swiss Light Source SLS to record a molecular energy machine in action and thus to reveal how energy production at cell membranes works. For this purpose they developed ...

Fruit bats can transform echoes into images

Bats are creatures of the night and are accustomed to complete darkness. They harness their hypersensitive hearing to feed, to fend off prey and to mate.

Doctoral dissertation: The Secret Gospel of Mark is not a fake

In his doctoral dissertation, Timo Paananen examines the letter by the early Christian philosopher Clement of Alexandria (ca. 150-215 CE) to Theodore. The identity of Theodore, recipient of the letter, remains a mystery. ...

Training data for autonomous driving

Autonomous cars must perceive their environment true to reality. The corresponding algorithms are trained using a large number of image and video recordings. For the algorithm to recognize single image elements, such as a ...

Machine learning for measuring roots

Researchers from the Centre for Research in Agricultural Genomics (CRAG) and La Salle-Ramon Llull University, both in Barcelona, Spain, have developed software that uses image processing and machine learning to semi-automate ...

3-D models reveal why bigger bumblebees see better

By generating 3-D images of bumblebees' compound eyes, researchers at Lund University in Sweden have discovered how bumblebees differ in their vision. The results could contribute to increased knowledge about the pollination ...

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