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#NatureCommunications

2 posts2 participants1 post today
François Ferron 🇪🇺 🔷️🔶️

A beautiful study on #LongCovid by #PasteurInstitute demonstrating that #SARS-CoV-2 infects the brain and persists in the brainstem for up to 80 days after the acute infection phase. The presence of the virus is linked to symptoms of depression, impaired memory, and anxiety. Genes associated with neuronal metabolism and activity are deregulated in the brains of these animals, echoing similar processes observed in neurodegenerative diseases. This study was published in #NatureCommunications on July 22, 2025.
#Virology #Covid
pasteur.fr/en/home/press-area/

Institut Pasteur · Long COVID: SARS-CoV-2 persists in the brainstem in the long term and deregulates neuronal activitySymptoms can persist in some SARS-CoV-2 patients several months after infection. Scientists at the Institut Pasteur have demonstrated in an animal model that SARS-CoV-2 infects the brain and persists in the brainstem for up to 80 days after the acute infection phase. The presence of the virus is linked to symptoms of depression, impaired memory, and anxiety. Genes associated with neuronal metabolism and activity are deregulated in the brains of these animals, echoing similar processes observed in neurodegenerative diseases.
Francisco R. Villatoro

#NatureCommunications
Identifying regions of importance in wall-bounded turbulence through explainable deep learning nature.com/articles/s41467-024
“For wall-bounded turbulence, new methodology based on explainable artificial intelligence (XAI) to gain knowledge of the flow physics. Based on a particular type of deep convolutional neural network (CNN), namely the U-net, and the Shapley additive explanation (SHAP) values. CNNs can effectively extract the spatial information in the flow data, both in 2D and 3D. The SHAP algorithm is a game-theoretic method that calculates the importance of each input feature on the U-net prediction.”

NatureIdentifying regions of importance in wall-bounded turbulence through explainable deep learning - Nature CommunicationsUnderstanding the role of coherent structures in the dynamics of turbulent flows is of high relevance for fluid dynamics, climate systems, and aerodynamics. The authors propose a deep learning approach to evaluate the importance of various types of coherent structure in the flow, to uncover main mechanisms of wall-bounded turbulence and develop techniques for its control.
Universität Bayreuth

Novel Screening Method Accelerates Design of Stable, High-performance Solid-State Batteries
#UBT #UniBayreuth #HongKongUniversity #Lithium #Battery #NatureCommunications
uni-bayreuth.de/en/press-relea

www.uni-bayreuth.deNovel Screening Method Accelerates Design of Stable, High-performance Solid-State BatteriesIn a collaborative effort, researchers from the University of Bayreuth and the Hong Kong University of Science and Technology have identified a key material that significantly improves the performance and lifespan of solid-state lithium-metal batteries. This discovery was enabled by a newly developed database-supported, high-throughput screening method, representing a novel, breakthrough approach to battery design. Their findings are detailed in the prestigious journal Nature Communications.
Uni Göttingen

MICrONS consortium investigates brain cell structure and connections

Research @MICrONS (Machine Intelligence from Cortical Networks) collaboration with many Institutes including our Uni, combining effort, expertise and data resources with cutting edge AI to drive neuroscience forward: uni-goettingen.de/en/3240.html

Research #Nature: 10.1038/s41586-025-08829-y #NatureCommunications: 10.1038/s41467-025-58763-w

#AllenInstitute #NaturePortfolio: www.nature.com/immersive/d42859-025-00001-w/index.html

Uni Göttingen

How did plants evolve to cope with such a challenging and changing habitat?

It turns out the answer is in 600 million years of stress! A research team led by our Uni compared algae and plants spanning million years of independent evolution. Using advanced bioinformatic methods, they pinpointed a shared stress response network: uni-goettingen.de/en/3240.html

Research at #NatureCommunications: doi.org/n9m4

#Diversity#Evolution#Algae
Uni Göttingen

#Pflanzen haben bei neuen Umweltbedingungen Stress. Forschende unter Leitung unserer Uni haben herausgefunden, dass #Algen und #Landpflanzen ähnlich auf den Stress reagieren. Sie teilen sich sogenannte „Hubs“, also stark miteinander verbundene Gene, die die seit über 600 Millionen Jahren erhalten geblieben sind: uni-goettingen.de/de/3240.html

Forschung veröffentlicht in #NatureCommunications: nature.com/articles/s41467-025

#Evolution#Bioinformatik#Biologie
N-gated Hacker News

Ah, yes, another thrilling episode of "Let's Pretend We Understand #MRAM Technology" 🤔🔧. But wait, Nature Communications, your CSS is stuck in low orbit, much like our attention span for this electrifying content. 😴🛰️
nature.com/articles/s41467-024 #Technology #NatureCommunications #AttentionSpan #TechHumor #HackerNews #ngated

NatureHarnessing orbital Hall effect in spin-orbit torque MRAM - Nature CommunicationsThere has been a recent surge in interest in using the orbital Hall effect to improve switching performance and expand the material options for spin-orbit torque driven magnetic memory. Here, Gupta et al demonstrate a significant improvement switching efficiency through integration of Ru in place of the more standard heavy metal, Pt.
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