Spectral shaper provides unprecedented control over 10,000 laser frequency comb lines
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Updates every hour. Last Updated: 25-Nov-2025 06:11 ET (25-Nov-2025 11:11 GMT/UTC)
A review paper by scientists at the Harbin Institute of Technology proposed the signal-enhancing mechanisms of MNMs in single-modal imaging and explored multimodal applications through MNMs-probe design and discusses artificial intelligence-driven intelligent MNMs for precision imaging.
The new research paper, published on Sep. 10 in the journal Cyborg and Bionic Systems, presented recent advancements in their applications for multimodal imaging and integration with artificial intelligence (AI)-driven technologies.
A study in Forest Ecosystems found that combining bedding plows with pre-plant herbicide application, rather than double bedding, delivers the largest and most sustained gains in pine volume. This two-pass system effectively controls woody shrubs, the main long-term competitor, allowing pines to thrive for decades.
A Forest Ecosystems study highlights how forest landscape restoration (FLR) can play a critical role in improving water availability and ecosystem health across tropical regions. Drawing on decades of field studies, modeling, and global research, the study emphasizes that healthy soils and reliable water supplies are essential for both people and ecosystems to thrive.
A research paper by scientists at Nanyang Technological University presents wearable devices with headgear and abdominal buckle that address these challenges using hooking mechanisms, multimaterial 3-dimensional printing, and selective electroless plating.
The new research paper, published on Sep. 22, 2025 in the journal Cyborg and Bionic Systems, reported wearable devices, such as headgear and abdominal buckles with surface stimulators, designed for cyborg insect preparation and navigation.
AMHERST, Mass. — An app that turns consumer Apple Watches into tools for highly sophisticated sleep stage monitoring was developed by team of researchers led by professor Joyita Dutta at the University of Massachusetts Amherst. The researchers say the app and corresponding AI code are convenient and effective alternatives to existing costly and complex sleep study equipment and protocols.