A new study has revealed that tomatoes harvested at an extremely early stage can still undergo maturation and ripening postharvest, offering a new avenue to enhance agricultural practices.

To efficiently compute where waves of light, sound, or earthquakes will go when scattered by irregular obstacles is useful in various fields but difficult and expensive to do, even using recent machine learning techniques. To improve the scalability and practicality of such computations, Laurynas Valantinas and Tom Vettenburg, researchers at the University of Dundee in the UK, mapped the wave equations onto the structure of a recurrent neural network. Its minimal memory requirements allowed them to scale up wave scattering calculations by two orders of magnitude or more. The “scattering network” design was published Aug. 5 in Intelligent Computing, a Science Partner Journal, in an article titled “Scaling Up Wave Calculations with a Scattering Network.”

A pivotal study has unveiled the genetic mechanisms that control lateral branching in tomatoes, a critical factor for improving crop productivity.

A recent study has uncovered new genetic insights into how two wild strawberries—Fragaria corymbosa and Fragaria moupinensis—have evolved to thrive in high-altitude environments.

A recent review in MedComm – Future Medicine examines long COVID across SARS-CoV-2 variants, focusing on variant-specific clinical features, pathogenesis, and implications for treatment. The study highlights that recent variants like Omicron are associated with lower incidence and milder symptoms, with vaccinations playing a substantial role in reducing long COVID's prevalence and severity. The research underscores the need for standardized diagnostic criteria and calls for more controlled studies, especially in unique populations, to uncover actionable insights into long COVID mechanisms and treatment options.

A deep learning model has been introduced that significantly enhances the precision of Mini-LED backlight inspection.

In this study, the authors investigated the mineralization, humification characteristics, and dynamics of microbial communities of two organic materials, including chicken manure (CM) and composted kitchen waste compost (KW) in farmland soil by conducting nylon mesh bag in-situ incubation experiments combined with indoor analysis and high-throughput microbial sequencing technology.

This study examines the socio-economic feasibility of green hydrogen as a sustainable energy solution in Europe, focusing on production costs, public awareness, and acceptance. It highlights the potential of green hydrogen to support energy transitions while addressing challenges related to knowledge gaps and societal resistance, emphasizing the need for effective spatial energy planning and public engagement strategies.