Biological treatment methods such as anaerobic digestion, composting, and insect farming are essential for managing organic waste, converting it into valuable resources like biogas and organic fertilizers. However, these ...
Recently, a team led by Prof. Wang Rujing and Wang Liusan from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed a method to detect internal cracks in rice seeds using near-infrared spectroscopy.
By rapidly analyzing large amounts of data and making accurate predictions, artificial intelligence (AI) tools could help to answer many long-standing research questions. For instance, they could help to identify new materials ...
Researchers at Istituto Italiano di Tecnologia (IIT-Italian Institute of Technology) in collaboration with the University of Freiburg have developed a biohybrid robot, which consists of a flour-based capsule created using ...
Rapeseed oil, a vital oilseed crop facing growing global demand, encounters a significant challenge in achieving uniform seed maturity, owing to asynchronous flowering. Traditional maturity assessment methods are limited ...
Long non-coding RNAs (lncRNAs) are non-protein-coding transcripts. Currently, CRISPR/Cas9 is a promising RNA-guided genome editing technology consisting of a Cas9 nuclease and a single-guide RNA (sgRNA). Considering the significant ...
Heightened use of social media during the coronavirus pandemic brought with it an unprecedented surge in the spread of misinformation. Of particular significance were conspiracy theories surrounding the virus and vaccines ...
Researchers at the University of Toronto have used an artificial intelligence framework to redesign a crucial protein involved in the delivery of gene therapy.
Hyperspectral reflectance reveals critical leaf functional traits indicative of a plant's physiological status, providing a powerful tool for distinguishing seedlings adapted to specific environments.
New insights from artificial intelligence about permafrost coverage in the Arctic may soon give policymakers and land managers the high-resolution view they need to predict climate-change-driven threats to infrastructure ...
