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                    <title>Phys.org - latest science and technology news stories</title>
            <link>https://phys.org/</link>
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            <description>Phys.org internet news portal provides the latest news on science including: Physics, Nanotechnology, Life Sciences, Space Science, Earth Science, Environment, Health and Medicine.</description>

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                    <title>These eight coastal cities sit on America&#039;s flood front line, and AI shows why</title>
                    <description>New York, New Orleans and Miami are among the eight cities along the US Gulf and Atlantic coasts facing the highest flood risk, according to a new study published in Science Advances. Scientists developed a new AI-driven framework and combined it with historical flood-damage data to not only identify high-risk coastal areas but also pinpoint the underlying factors driving that risk.</description>
                    <link>https://phys.org/news/2026-04-coastal-cities-america-front-line.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Thu, 23 Apr 2026 11:26:05 EDT</pubDate>
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                    <title>Mapping cell development with mathematics-informed machine learning</title>
                    <description>The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions via a process called cell fate determination. The fate of individual cells, or in other words, what type of cells they will become, is influenced both by predictable biological signals and random physiological fluctuations.</description>
                    <link>https://phys.org/news/2026-01-cell-mathematics-machine.html</link>
                    <category>Cell &amp; Microbiology</category>                    <pubDate>Mon, 26 Jan 2026 10:40:01 EST</pubDate>
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                    <title>Unlocking the sun&#039;s magnetic secrets: AI-powered mapping reveals intricate 3D details</title>
                    <description>Researchers at the University of Hawaiʻi Institute for Astronomy (IfA) are helping reshape how scientists study the sun. The UH-led team has developed a new artificial intelligence (AI) tool that can map the sun&#039;s magnetic field in three dimensions with unprecedented accuracy, supporting research tied to the U.S. National Science Foundation (NSF) Daniel K. Inouye Solar Telescope built and managed by the NSF National Solar Observatory (NSO) on Haleakalā.</description>
                    <link>https://phys.org/news/2025-12-sun-magnetic-secrets-ai-powered.html</link>
                    <category>Astronomy</category>                    <pubDate>Thu, 11 Dec 2025 16:18:23 EST</pubDate>
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                    <title>Cuisines can be broken down into simple &#039;culinary fingerprints,&#039; research finds</title>
                    <description>It is a simple equation, especially for a mathematician. Loved ones, plus food, equals good times.</description>
                    <link>https://phys.org/news/2025-11-cuisines-broken-simple-culinary-fingerprints.html</link>
                    <category>General Physics</category>                    <pubDate>Thu, 20 Nov 2025 09:27:04 EST</pubDate>
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                    <title>Open-access tool navigates expanding world of metal–organic frameworks for easier discovery</title>
                    <description>A new open-access tool created by University of Toronto Engineering researchers provides a systematic way to organize and synthesize knowledge about metal–organic frameworks (MOFs)—a class of materials with applications in drug delivery, catalysis, carbon capture and more.</description>
                    <link>https://phys.org/news/2025-11-access-tool-world-metalorganic-frameworks.html</link>
                    <category>Analytical Chemistry</category>                    <pubDate>Mon, 17 Nov 2025 15:30:03 EST</pubDate>
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                    <title>AI and citizen science reveal potential first detection of invasive malaria mosquito in Madagascar</title>
                    <description>Researchers from the University of South Florida have used artificial intelligence and citizen science to identify what may be the first specimen of Anopheles stephensi—an invasive and deadly malaria-carrying mosquito—ever detected in Madagascar. The study, led by USF scientists Ryan Carney and Sriram Chellappan, demonstrates how AI-powered image recognition and public participation can transform global disease surveillance.</description>
                    <link>https://phys.org/news/2025-10-ai-citizen-science-reveal-potential.html</link>
                    <category>Ecology</category>                    <pubDate>Tue, 28 Oct 2025 09:00:06 EDT</pubDate>
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                    <title>Long-term data-driven evidence reveals escalating rainfall extremes across urbanizing Himalayan foothills</title>
                    <description>For years, we believed the Himalayas were a climatic sanctuary—untouched, pristine, and resilient to the turbulence of modernization. But what happens when mountain cities begin to mimic the dynamics of megacities in the plains?</description>
                    <link>https://phys.org/news/2025-10-term-driven-evidence-reveals-escalating.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Mon, 20 Oct 2025 17:10:01 EDT</pubDate>
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                    <title>AI turns simple plant images into early drought warnings, giving crops a voice in the fight against water stress</title>
                    <description>What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet drought, the most insidious stressor, remains largely silent until its damage is visible.</description>
                    <link>https://phys.org/news/2025-08-ai-simple-images-early-drought.html</link>
                    <category>Biotechnology</category>                    <pubDate>Fri, 29 Aug 2025 09:53:40 EDT</pubDate>
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                    <title>LLMs can predict educational and psychological outcomes from childhood essays with remarkable accuracy</title>
                    <description>Large language models (LLMs), advanced artificial intelligence (AI) models trained to analyze and generate texts in different human languages, have become increasingly widespread over the past few years. Since the release of the conversational platform ChatGPT, which relies on different versions of an LLM called GPT, these models have become widely used by individuals worldwide, while also making their way into some professional and research settings.</description>
                    <link>https://phys.org/news/2025-08-llms-psychological-outcomes-childhood-essays.html</link>
                    <category>Social Sciences</category>                    <pubDate>Thu, 07 Aug 2025 07:00:01 EDT</pubDate>
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                    <title>Affordable sensor system detects algal bloom in real time</title>
                    <description>Korea Institute of Civil Engineering and Building Technology has successfully developed a real-time, low-cost algal bloom monitoring system utilizing inexpensive optical sensors and a novel labeling logic. The system achieves higher accuracy than state-of-the-art AI models such as Gradient Boosting and Random Forest. The findings are published in the journal Environmental Monitoring and Assessment.</description>
                    <link>https://phys.org/news/2025-05-sensor-algal-bloom-real.html</link>
                    <category>Environment</category>                    <pubDate>Thu, 29 May 2025 12:09:15 EDT</pubDate>
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                    <title>AI framework achieves 95.6% accuracy in predicting landslide-prone zones</title>
                    <description>Landslides pose a significant threat to people and the environment worldwide. Researchers from the Leibniz Center for Agricultural Landscape Research (ZALF), together with international partners, have developed a new framework that significantly improves landslide prediction using machine learning methods.</description>
                    <link>https://phys.org/news/2025-03-ai-framework-accuracy-landslide-prone.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Mon, 31 Mar 2025 14:11:03 EDT</pubDate>
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                    <title>AI-powered analysis uncovers marine herbivores&#039; impact on eelgrass disease spread</title>
                    <description>Eelgrass, a type of flowering seagrass found in temperate zones around the world, provides habitat for many species, protects coastlines, improves water quality, sequesters carbon and supports fishing economies. The foundation of a highly productive marine food web, eelgrass&#039;s health is paramount but mysterious.</description>
                    <link>https://phys.org/news/2025-02-ai-powered-analysis-uncovers-marine.html</link>
                    <category>Plants &amp; Animals</category>                    <pubDate>Wed, 05 Feb 2025 12:18:05 EST</pubDate>
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                    <title>Vultures and AI as death detectors: A high-tech approach for wildlife research and conservation</title>
                    <description>In order to use remote locations to record and assess the behavior of wildlife and environmental conditions, the GAIA Initiative developed an artificial intelligence (AI) algorithm that reliably and automatically classifies behaviors of white-backed vultures using animal tag data.</description>
                    <link>https://phys.org/news/2024-11-vultures-ai-death-detectors-high.html</link>
                    <category>Ecology</category>                    <pubDate>Tue, 19 Nov 2024 15:58:16 EST</pubDate>
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                    <title>Scientists discover all-optical nuclear magnetic resonance analog with quantum fluids of light</title>
                    <description>Researchers from Skoltech, the University of Warsaw, and the University of Iceland have demonstrated that by optical means it is possible to excite and stir an exciton-polariton condensate, which emits a linearly polarized light with a polarization axis following the stirring direction.</description>
                    <link>https://phys.org/news/2024-11-scientists-optical-nuclear-magnetic-resonance.html</link>
                    <category>Condensed Matter</category>                    <pubDate>Tue, 05 Nov 2024 07:02:05 EST</pubDate>
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                    <title>Merging AI and human efforts to tackle complex mathematical problems</title>
                    <description>By rapidly analyzing large amounts of data and making accurate predictions, artificial intelligence (AI) tools could help to answer many long-standing research questions. For instance, they could help to identify new materials to fabricate electronics or the patterns in brain activity associated with specific human behaviors.</description>
                    <link>https://phys.org/news/2024-06-merging-ai-human-efforts-tackle.html</link>
                    <category>Mathematics</category>                    <pubDate>Mon, 24 Jun 2024 08:50:02 EDT</pubDate>
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                    <title>Biohybrid robot made from flour and oats could act as a biodegradable vector for reforestation</title>
                    <description>Researchers at Istituto Italiano di Tecnologia (IIT-Italian Institute of Technology) in collaboration with the University of Freiburg have developed a biohybrid robot, which consists of a flour-based capsule created using 3D microfabrication techniques, and two natural appendages from oat fruit capable of moving in response to air humidity.</description>
                    <link>https://phys.org/news/2024-05-biohybrid-robot-flour-oats-biodegradable.html</link>
                    <category>Ecology</category>                    <pubDate>Mon, 13 May 2024 12:53:28 EDT</pubDate>
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                    <title>New AI model designs proteins to deliver gene therapy</title>
                    <description>Researchers at the University of Toronto have used an artificial intelligence framework to redesign a crucial protein involved in the delivery of gene therapy.</description>
                    <link>https://phys.org/news/2024-01-ai-proteins-gene-therapy.html</link>
                    <category>Biotechnology</category>                    <pubDate>Mon, 29 Jan 2024 16:03:33 EST</pubDate>
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                    <title>Changing landscapes alter &#039;disease-scapes&#039;: Study</title>
                    <description>A new study has highlighted how and when changes to the environment result in animal-borne disease thresholds being breeched, allowing for a better understanding and increased capacity to predict the risk of transmissions.</description>
                    <link>https://phys.org/news/2023-03-landscapes-disease-scapes.html</link>
                    <category>Environment</category>                    <pubDate>Mon, 13 Mar 2023 12:31:03 EDT</pubDate>
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                    <title>New technique maps large-scale impacts of fire-induced permafrost thaw in Alaska</title>
                    <description>About 40 percent of interior Alaska is underlain by ice-rich permafrost—permanently frozen grounds made up of soil, gravel and sand—bound together by ice. Certain conditions, such as climate warming, have intensified tundra wildfires which have profound implications for permafrost thaw.</description>
                    <link>https://phys.org/news/2023-02-technique-large-scale-impacts-fire-induced-permafrost.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Tue, 14 Feb 2023 10:29:16 EST</pubDate>
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                    <title>Scientists use machine learning to fast-track drug formulation development</title>
                    <description>Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate drug formulation could reduce the time and cost associated with drug development, making promising new medicines available faster.</description>
                    <link>https://phys.org/news/2023-01-scientists-machine-fast-track-drug.html</link>
                    <category>Analytical Chemistry</category>                    <pubDate>Tue, 10 Jan 2023 05:00:01 EST</pubDate>
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                    <title>Synthetic fibers discovered in Antarctic air, seawater, sediment and sea ice</title>
                    <description>As nations meet in Uruguay to negotiate a new Global Plastics Treaty, marine and forensic scientists publish new results this week that reveal the discovery of synthetic plastic fibers in air, seawater, sediment and sea ice sampled in the Antarctic Weddell Sea. The field research was undertaken during an expedition to discover Sir Ernest Shackleton&#039;s ship, the Endurance. The results are published in the journal Frontiers in Marine Science.</description>
                    <link>https://phys.org/news/2022-11-synthetic-fibers-antarctic-air-seawater.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Wed, 23 Nov 2022 16:14:03 EST</pubDate>
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                    <title>SARS-CoV-2 alters RNA in infected cells, study reveals</title>
                    <description>For the first time, scientists at the Federal University of São Paulo (UNIFESP) in Brazil have shown that infection by SARS-CoV-2, the virus that causes COVID-19, changes the functioning of host cell RNA. They arrived at this conclusion by analyzing 13 datasets obtained during four studies of viral, human and animal cell RNA.</description>
                    <link>https://phys.org/news/2022-11-sars-cov-rna-infected-cells-reveals.html</link>
                    <category>Cell &amp; Microbiology</category>                    <pubDate>Wed, 09 Nov 2022 14:03:29 EST</pubDate>
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                    <title>Machine learning enables optimal design of anti-biofouling polymer brush films</title>
                    <description>Polymer brush films consists of monomer chains grown in close proximity on a substrate. The monomers, which look like &quot;bristles&quot; at the nanoscale, form a highly functional and versatile coating, such that it can selectively adsorb or repel a variety of chemicals or biological molecules. For instance, polymer brush films have been used as a scaffold to grow biological cells and as protective anti-biofouling coatings that repel unwanted biological organisms.</description>
                    <link>https://phys.org/news/2022-08-machine-enables-optimal-anti-biofouling-polymer.html</link>
                    <category>Polymers</category>                    <pubDate>Wed, 03 Aug 2022 14:16:15 EDT</pubDate>
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                    <title>Study demonstrates the quantum speed up of supervised machine learning on a new classification task</title>
                    <description>In recent years, several computer scientists and physicists have been exploring the potential of quantum-enhanced machine learning algorithms. As their name suggests, quantum machine learning approaches combine quantum algorithms with machine learning techniques.</description>
                    <link>https://phys.org/news/2021-08-quantum-machine-classification-task.html</link>
                    <category>General Physics</category>                    <pubDate>Wed, 25 Aug 2021 13:25:22 EDT</pubDate>
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                    <title>Structure motif-centric learning framework for inorganic crystalline systems</title>
                    <description>Physical principles can be incorporated in a machine learning architecture as a fundamental setup to develop artificial intelligence for inorganic materials. In a new report now on Science Advances, Huta R. Banjade, and a research team in physics, computer and information science and nanoscience in the U.S. and Belgium proposed structure motifs in inorganic crystals to serve as a central input to a machine learning framework. The team demonstrated how the presence of structure motifs and their connections in a large set of crystalline compounds could be converted into unique vector representations via an unsupervised learning algorithm. They accomplished this by creating a motif-centric leaning framework by combining motif information with atom-based graph neural networks to form an atom-motif dual graph network (AMDNet). The setup accurately predicted the electronic structure of metal oxides such as bandgaps. The work illustrates a method to design graph neural network learning architectures to investigate complex materials beyond atom physical properties.</description>
                    <link>https://phys.org/news/2021-05-motif-centric-framework-inorganic-crystalline.html</link>
                    <category>Materials Science</category>                    <pubDate>Mon, 10 May 2021 09:40:01 EDT</pubDate>
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                    <title>Scientists use machine-learning approach to track disease-carrying mosquitoes</title>
                    <description>You might not like mosquitoes, but they like you, says Utah State University biologist Norah Saarman. And where you lead, they will follow.</description>
                    <link>https://phys.org/news/2021-02-scientists-machine-learning-approach-track-disease-carrying.html</link>
                    <category>Ecology</category>                    <pubDate>Mon, 22 Feb 2021 15:00:03 EST</pubDate>
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                    <title>Pulse-driven robot: Motion via solitary waves</title>
                    <description>Scientists have recently explored the unique properties of nonlinear waves to facilitate a wide range of applications including impact mitigation, asymmetric transmission, switching and focusing. In a new study now published on Science Advances, Bolei Deng and a team of research scientists at Harvard, CNRS and the Wyss Institute for Biologically Inspired Engineering in the U.S. and France harnessed the propagation of nonlinear waves to make flexible structures crawl. They combined bioinspired experimental and theoretical methods to show how such pulse-driven locomotion could reach a maximum efficiency when the initiated pulses were solitons (solitary wave). The simple machine developed in the work could move across a wide range of surfaces and steer onward. The study expanded the variety of possible applications with nonlinear waves to offer a new platform for flexible machines.</description>
                    <link>https://phys.org/news/2020-05-pulse-driven-robot-motion-solitary.html</link>
                    <category>General Physics</category>                    <pubDate>Fri, 08 May 2020 10:05:08 EDT</pubDate>
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                    <title>Researchers watch the dynamics of plasmonic skyrmions made from light on ultra-smooth gold platelets for the first time</title>
                    <description>The destructive force of a tornado occurs due to the extremely high rotational speeds in its center, which is called a vortex. Surprisingly, similar effects are predicted for light that travels along an atomically smooth gold surface, which can exhibit angular momentum and vortices. Researchers at the Universities of Stuttgart and Duisburg-Essen and the University of Melbourne (Australia) have now succeeded for the first time in filming these vortex patterns, which are called skyrmions, on the nanometer scale. The journal Science reports this groundbreaking work in its issue of April 24, 2020.</description>
                    <link>https://phys.org/news/2020-04-dynamics-plasmonic-skyrmions-ultra-smooth-gold.html</link>
                    <category>Optics &amp; Photonics</category>                    <pubDate>Fri, 24 Apr 2020 07:20:09 EDT</pubDate>
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                    <title>Computational origami: A universal method to wrap 3-D curved surfaces with nonstretchable materials</title>
                    <description>The counterintuitive question on how to wrap a curved spherical surface using conventionally stiff and non-stretchable or brittle materials, forms the basis of this study. To answer the question, Yu-Ki Lee and a research team in the departments of materials engineering and computer science in the Republic of Korea and the U.S. extended a geometrical design method of computational origami to wrap spherical constructs in a new report now published in Science Advances. The approach provided a robust and reliable method to engineer conformal devices for arbitrary curved surfaces using a computationally designed nonpolyhedral developable net. The computer-aided design transformed two-dimensional (2-D) materials such as silicon (Si) wafers and steel sheets into conformal structures that could fully wrap 3-D structures without fracture or deformation. The computational wrapping method allowed them to develop a design platform to transform conventionally non-stretchable 2-D devices into conformal 3-D curved surfaces.</description>
                    <link>https://phys.org/news/2020-04-origami-universal-method-d-surfaces.html</link>
                    <category>Materials Science</category>                    <pubDate>Wed, 15 Apr 2020 10:20:02 EDT</pubDate>
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                    <title>A deep learning-based model DeepSpCas9 to predict SpCas9 activity</title>
                    <description>In a new report on Science Advances, Hui Kwon Kim and interdisciplinary researchers at the departments of Pharmacology, Electrical and Computer Engineering, Medical Sciences, Nanomedicine and Bioinformatics in the Republic of Korea, evaluated the activities of SpCas9; a bacterial RNA-guided Cas9 endonuclease variant (a bacterial enzyme that cuts DNA for genome editing) from Streptococcus pyogenes. They used a high-throughput approach with 12,832 target sequences based on a human cell library to build a deep learning model and predict the activity of SpCas9.</description>
                    <link>https://phys.org/news/2019-11-deep-learning-based-deepspcas9-spcas9.html</link>
                    <category>Biotechnology</category>                    <pubDate>Fri, 22 Nov 2019 09:30:01 EST</pubDate>
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