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Scientists Discovered the Tunnels of a Possibly Unknown Ancient Lifeform

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Mysterious micro-burrows in desert marble and limestone were probably made by microbes that lived millions of years ago. Exactly what kind of microbes bored into the rock remains unknown, as does whether they still exist or have long since gone extinct. Whatever formed the burrows had to be alive, since researchers were able to rule out weathering and abiotic processes. For most organisms on Earth, rocks are objects, not food. But for one oddball microbe, desert limestone seems to have been on the menu. Whether or not this mysterious form of life still exists or went extinct eons ago is, however, yet unknown. Recently, geologist Cees Passchier from Johannes Gutenberg University Mainz came across what looked like tiny burrows in marble and limestone in the deserts of Namibia, Oman, and Saudi Arabia. Erosion had exposed the fossil burrows, and while nothing was crawling in there anymore, Passchier and his research team investigated further and found biological material inside. “A biotic ...

RF Amplifier Magic: Precision Time! #sciencefather #technicians #electro...

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The Role of Data Science Modeling in AI Development

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  How important data science modeling is in the field of  Artificial Intelligence (AI) . Today, AI has transformed industries by automating processes, improving decision-making, and enabling innovative solutions. At the heart of this transformation is data science modeling, the cornerstone of building effective AI systems. What is Data Science Modeling Data science modeling involves creating mathematical algorithms to analyze, interpret, and predict outcomes based on large datasets. It combines statistical techniques, machine learning algorithms, and computational power to uncover hidden patterns in data. Without effective data science modeling, AI systems wouldn't be able to learn, adapt, or make intelligent decisions. Future of Data Science Modeling in AI The future of AI heavily relies on advancements in data science modeling. Emerging technologies, such as automated machine learning (AutoML) and deep learning models, continue to enhance the accuracy and effectiveness of AI...

Unlocking NH3 Interactions: A Deep Dive! #sciencefather #thermodynamics ...

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How WRF-HEATS is Changing Urban Heat Stress Evaluation! #sciencefather #...

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Unveiling Ancient Gardens: A Mediterranean Tale #sciencefather #archaeol...

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Drug-Resistant Bacteria Outcompete Rivals

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A drug-resistant strain of bacteria inhabiting hospital settings has evolved to utilize an antimicrobial genetic tool. Vancomycin-resistant Enterococcus faecium (VREfm) is responsible for many lethal infections and has been shown by researchers at the University of Pittsburgh (UPitt) to be equally lethal to other bacterial species. The findings, published in Nature Microbiology in a study titled, “ Bacteriocin production facilitates nosocomial emergence of vancomycin-resistant Enterococcus faecium,” suggest that VREfm have the ability to produce bacteriocin, an antimicrobial that can kill or inhibit other bacteria. “Our lab has a front-row seat to the parade of pathogens that move through the hospital setting,” said senior author Daria Van Tyne, PhD, associate professor of medicine in UPitt’s Division of Infectious Diseases. The Enhanced Detection System for Healthcare-Associated Transmission (EDS-HAT) was developed at UPitt and the University of Pittsburgh Medical Center (UPMC) to tra...