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Categories: Biology: Botany, Mathematics: Modeling
Published Improved AI process could better predict water supplies
(via sciencedaily.com) Original source A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers predict water availability from areas in the West where snow amounts aren't being physically measured.
Published Novel genetic plant regeneration approach without the application of phytohormones
(via sciencedaily.com) Original source Conventional plant regeneration approaches by cell culture require the external application of plant growth regulators, including hormones. However, optimizing culture conditions can be laborious. Now, researchers have developed a novel plant regeneration system that omits the need for hormone application by genetically regulating the expression of genes that control plant cell differentiation. Their work holds significant potential in the development of genetically modified plants in a simpler and cost-effective manner.
Published Discovery of mechanism plants use to change seed oil could impact industrial, food oils
(via sciencedaily.com) Original source Researchers have discovered a new mechanism of oil biosynthesis and found a way to genetically engineer a type of test plant to more efficiently produce different kinds of seed oil that it otherwise wouldn't make. While the engineering is proof-of-concept, this discovery could lead to improved production of valuable oils used in food and by a range of industries. The modified plant overcame metabolic bottlenecks and produced significant amounts of an oil similar to castor oil that it doesn't naturally produce.
Published Unlocking the genetic mysteries behind plant adaptation: New insights into the evolution of a water-saving trait in the pineapple family (bromeliaceae)
(via sciencedaily.com) Original source Researchers have achieved a breakthrough in understanding how genetic drivers influence the evolution of a specific photosynthesis mechanism in Tillandsia (air plants). This sheds light on the complex actions that cause plant adaptation and ecological diversity.
Published Fixin' to be flexitarian: Scrap fish and invasive species can liven up vegetables
(via sciencedaily.com) Original source Greening the way we eat needn't mean going vegetarian. A healthy, more realistic solution is to adopt a flexitarian diet where seafoods add umami to 'boring' vegetables. A gastrophysicist puts mathematical equations to work in calculating the umami potential of everything from seaweed and shrimp paste to mussels and mackerel.
Published From disorder to order: Flocking birds and 'spinning' particles
(via sciencedaily.com) Original source Researchers have demonstrated that ferromagnetism, an ordered state of atoms, can be induced by increasing particle motility and that repulsive forces between atoms are sufficient to maintain it. The discovery not only extends the concept of active matter to quantum systems but also contributes to the development of novel technologies that rely on the magnetic properties of particles, such as magnetic memory and quantum computing.
Published AI deciphers new gene regulatory code in plants and makes accurate predictions for newly sequenced genomes
(via sciencedaily.com) Original source Elucidating the relationship between the sequences of non-coding regulatory elements and their target genes is key to understanding gene regulation and its variation between plant species and ecotypes. Now, an international research team developed deep learning models that link gene sequence data with mRNA copy number for several plant species and predicted the regulatory effect of gene sequence variation.
Published Barley plants fine-tune their root microbial communities through sugary secretions
(via sciencedaily.com) Original source Different types of barley recruit distinct communities of soil microbes to grow around their roots by releasing a custom mix of sugars and other compounds, according to a new study.
Published Scientists released long-term data of ground solar-induced fluorescence to improve understanding of canopy-level photosynthesis
(via sciencedaily.com) Original source A recent study utilized ground-based instruments to measure solar-induced fluorescence (SIF) that reflect plant health and photosynthesis.
Published Artificial intelligence helps scientists engineer plants to fight climate change
(via sciencedaily.com) Original source Scientists are using artificial intelligence software to analyze plant root systems, laying out a protocol that can be applied to gather data on crop and model plant phenotypes (physical characteristics) more efficiently and with equal or greater accuracy than existing methods.
Published Artificial intelligence can develop treatments to prevent 'superbugs'
(via sciencedaily.com) Original source Cleveland Clinic researchers developed an artficial intelligence (AI) model that can determine the best combination and timeline to use when prescribing drugs to treat a bacterial infection, based solely on how quickly the bacteria grow given certain perturbations. PNAS recently published their findings.
Published World's chocolate supply threatened by devastating virus
(via sciencedaily.com) Original source A rapidly spreading virus threatens the health of the cacao tree and the dried seeds from which chocolate is made, jeopardizing the global supply of the world's most popular treat. Researchers have developed a new strategy: using mathematical data to determine how far apart farmers can plant vaccinated trees to prevent mealybugs from jumping from one tree to another and spreading the virus.
Published The spiciness of mustard may depend on soil microbes
(via sciencedaily.com) Original source New study finds microbes may influence the taste of mustard seeds.
Published AI tool creates 'synthetic' images of cells for enhanced microscopy analysis
(via sciencedaily.com) Original source Researchers have developed a method to use an image generation AI model to create realistic images of single cells, which are then used as 'synthetic data' to train an AI model to better carry out single-cell segmentation.
Published New sensing checks for 3D printed products could overhaul manufacturing sector
(via sciencedaily.com) Original source A sensing technology that can assess the quality of components in fields such as aerospace could transform UK industry.
Published Predicting cardiac arrhythmia 30 minutes before it happens
(via sciencedaily.com) Original source Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke. It constitutes a significant burden to healthcare systems, making its early detection and treatment a major goal. Researchers have recently developed a deep-learning model capable of predicting the transition from a normal cardiac rhythm to atrial fibrillation. It gives early warnings on average 30 minutes before onset, with an accuracy of around 80%. These results pave the way for integration into wearable technologies, allowing early interventions and better patient outcomes.
Published AI weather forecasts captured Ciaran's destructive path
(via sciencedaily.com) Original source The study highlights the rapid progress and transformative potential of AI in weather prediction.
Published Teaching a computer to type like a human
(via sciencedaily.com) Original source A new typing model simulates the typing process instead of just predicting words.
Published When thoughts flow in one direction
(via sciencedaily.com) Original source Contrary to previous assumptions, nerve cells in the human neocortex are wired differently than in mice. The study found that human neurons communicate in one direction, while in mice, signals tend to flow in loops. This increases the efficiency and capacity of the human brain to process information. These discoveries could further the development of artificial neural networks.
Published Plant sensors could act as an early warning system for farmers
(via sciencedaily.com) Original source Using a pair of sensors made from carbon nanotubes, researchers discovered signals that help plants respond to stresses such as heat, light, or attack from insects or bacteria. Farmers could use these sensors to monitor threats to their crops, allowing them to intervene before the crops are lost.