A new study reveals the positive impact of intercropping leguminous plants like soybean and Chinese milkvetch with tea crops. 

In a development for artificial intelligence, researchers have unveiled a 28×28 synaptic device array that promises to revolutionize artificial visual systems.

A new study has unveiled the intricate 3D genome structure of Brassica crops, thanks to an optimized Bridge Linker High-throughput Chromosome Conformation Capture (BL-Hi-C) technology. 

The fading of apple skin color during fruit development has long been a challenge for both scientists and growers.

Scientists have created a new way to quickly and minimally invasively detect glucose using microneedles. 

In a paper published in National Science Review, an international team of scientists found a significant decline of downward surface solar radiation (DSSR) from 1959 to 2014. Greenhouse gases (GHGs) and anthropogenic aerosols contributed equally to the weakening of the DSSR and the role of GHGs was more significant after 1979. Whether DSSR would continue to decrease in the future is highly dependent on emission policies. The implementation of relatively lower aerosols and CO₂ emissions will help to curb the weakening of DSSR and provide a key guarantee for a smooth transition from traditional fossil energy sources to a cleaner one.

Researchers innovatively applied ultrasonic technology to the cleaning of fresh-cut red cabbage to reduce surface microbial contamination and pesticide residues. The phenolic compound synthesis in fresh-cut red cabbage was found to increase after ultrasonic cleaning. The use of ATP and DNP treatments confirmed that the accumulation of phenolic compounds induced by ultrasonic cleaning is closely related to elevated energy levels.

A recent study published in Reproductive and Developmental Medicine has revealed that estrogen can partially restore progesterone levels and improve ovarian health in Mcoln1^−/− mice, which serve as a model for human mucolipidosis type IV (a type of lysosomal storage disorder). These mice have premature luteolysis leading to progesterone deficiency and infertility.

The rise of artificial intelligence (AI) has transformed industries like healthcare, transportation, and manufacturing. However, the traditional von Neumann architecture limits computational speed and energy efficiency due to the separation of computing and storage units, making it less suitable for energy-sensitive applications like edge computing and the Internet of Things (IoT). Brain-inspired computing, modeled on biological neural networks, offers a solution through efficient parallel processing, addressing these limitations.