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Categories: Ecology: Endangered Species, Mathematics: Modeling
Published AI deciphers new gene regulatory code in plants and makes accurate predictions for newly sequenced genomes



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



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 Climate change could become the main driver of biodiversity decline by mid-century



Global biodiversity has declined between 2% and 11% during the 20th century due to land-use change alone, according to a large multi-model study. Projections show climate change could become the main driver of biodiversity decline by the mid-21st century.
Published Deer are expanding north, and that's not good for caribou



In the boreal forest of Western Canada, researchers have considered that both changing climate and increased habitat alteration have enabled deer to push farther north.
Published Unveiling the lionfish invasion in the Mediterranean Sea



Researchers have published a comprehensive study on the invasion of lionfish in the Mediterranean Sea, highlighting a rapid spread and the potential ecological impacts. The research shows the lionfish species Pterois miles has significantly expanded its territory in the Mediterranean since the invasion began around ten years ago. The invasive species has established presence in the eastern Mediterranean, with observations now extending to colder waters previously thought to be unsuitable for the species.
Published Artificial intelligence helps scientists engineer plants to fight climate change



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'



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 Laser technology offers breakthrough in detecting illegal ivory



A new way of quickly distinguishing between illegal elephant ivory and legal mammoth tusk ivory could prove critical to fighting the illegal ivory trade. A laser-based approach could be used by customs worldwide to aid in the enforcement of illegal ivory from being traded under the guise of legal ivory.
Published The spiciness of mustard may depend on soil microbes



New study finds microbes may influence the taste of mustard seeds.
Published AI tool creates 'synthetic' images of cells for enhanced microscopy analysis



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



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



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



The study highlights the rapid progress and transformative potential of AI in weather prediction.
Published Lemur's lament: When one vulnerable species stalks another



What can be done when one threatened animal kills another? Scientists studying critically endangered lemurs in Madagascar confronted this difficult reality when they witnessed attacks on lemurs by another vulnerable species, a carnivore called a fosa.
Published Teaching a computer to type like a human



A new typing model simulates the typing process instead of just predicting words.
Published When thoughts flow in one direction



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 Fourteen years after the Gulf of Mexico oil spill, endemic fishes face an uncertain future



The 2010 Gulf of Mexico Deepwater Horizon oil spill, the largest accidental spill in history, released almost 100 million gallons of oil, causing significant pollution. A decade later, its long-term effects remain unclear. A study investigating the impact on endemic fish species found 29 of 78 species unreported in museum collections since the spill, suggesting potential loss of biodiversity.
Published Marine plankton behavior could predict future marine extinctions



Marine communities migrated to Antarctica during the Earth's warmest period in 66 million years long before a mass-extinction event.
Published Plant sensors could act as an early warning system for farmers



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.
Published Dog attacks on mountain tapirs highlight a growing threat to endangered wildlife



Researchers who captured footage of dog attacks on endangered mountain tapirs in Colombia are calling for action to protect threatened wildlife.