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                    <title>Phys.org news tagged with:model</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>China&#039;s emissions policies are helping climate change but also creating a new problem</title>
                    <description>China&#039;s sweeping efforts to clean up its air have delivered one of the biggest public health success stories of recent decades. Since the Air Pollution Prevention and Control Action Plan was launched in 2013, coal-fired power plants have been fitted with scrubbers, heavy industry has been modernized and pollution standards tightened, leading to an over 50% reduction in atmospheric particulate matter.</description>
                    <link>https://phys.org/news/2026-02-china-emissions-policies-climate-problem.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Tue, 10 Feb 2026 07:50:01 EST</pubDate>
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                    <title>Engineered moths could replace mice in studies on antimicrobial resistance</title>
                    <description>A scientific breakthrough not only promises faster testing for antimicrobial resistance, but also an ethical solution to the controversial issue of using rodents in research. University of Exeter scientists have created the world&#039;s first genetically engineered wax moths—a development which could both accelerate the fight against antimicrobial resistance (AMR) and significantly reduce the need for mice and rats in infection research.</description>
                    <link>https://phys.org/news/2026-02-moths-mice-antimicrobial-resistance.html</link>
                    <category>Plants &amp; Animals</category>                    <pubDate>Mon, 09 Feb 2026 20:00:03 EST</pubDate>
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                    <title>Unveiling polymeric interactions critical for future drug nanocarriers</title>
                    <description>Polymer micelles are tiny, self-assembled particles that are revolutionizing the landscape of drug delivery and nanomedicine. They form when polymer chains containing both hydrophilic and hydrophobic segments organize into nanoscale spheres in liquid solutions; these structures can trap and hold drugs that are otherwise difficult to dissolve.</description>
                    <link>https://phys.org/news/2026-02-unveiling-polymeric-interactions-critical-future.html</link>
                    <category>Bio &amp; Medicine</category>                    <pubDate>Mon, 09 Feb 2026 18:40:08 EST</pubDate>
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                    <title>Students found to favor lesson-plan chatbots over ask-me-anything tools for exam preparation</title>
                    <description>With the rapid development of GPT-based models, educational chatbots are no longer limited to scripted dialogs. They can now support open-ended interaction and inquiry-based learning. In a study published in the journal Discover Education, researchers directly compared:</description>
                    <link>https://phys.org/news/2026-02-students-favor-lesson-chatbots-tools.html</link>
                    <category>Education</category>                    <pubDate>Mon, 09 Feb 2026 17:05:22 EST</pubDate>
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                    <title>Fentanyl or phony? Machine learning algorithm learns to pick out opioid signatures</title>
                    <description>New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you&#039;ve never seen before? Researchers at Lawrence Livermore National Laboratory (LLNL) aim to answer that question with a machine learning model that can distinguish opioids from other chemicals with an accuracy over 95% in a laboratory setting.</description>
                    <link>https://phys.org/news/2026-02-fentanyl-phony-machine-algorithm-opioid.html</link>
                    <category>Analytical Chemistry</category>                    <pubDate>Mon, 09 Feb 2026 15:30:02 EST</pubDate>
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                    <title>The &#039;Little red dots&#039; observed by Webb were direct-collapse black holes</title>
                    <description>The James Webb Space Telescope (JWST) was designed to look back in time and study galaxies that existed shortly after the Big Bang. In so doing, scientists hoped to gain a better understanding of how the universe has evolved from the earliest cosmological epoch to the present. When Webb first trained its advanced optics and instruments on the early universe, it discovered a new class of astrophysical objects: bright red sources that were dubbed &quot;Little Red Dots&quot; (LRDs). Initially, astronomers hypothesized that they could be massive star-forming regions, but this was inconsistent with established cosmological models.</description>
                    <link>https://phys.org/news/2026-02-red-dots-webb-collapse-black.html</link>
                    <category>Astronomy</category>                    <pubDate>Sun, 08 Feb 2026 13:00:01 EST</pubDate>
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                    <title>Light-based Ising computer runs at room temperature and stays stable for hours</title>
                    <description>A team of researchers at Queen&#039;s University has developed a powerful new kind of computing machine that uses light to take on complex problems such as protein folding (for drug discovery) and number partitioning (for cryptography). Built from off-the-shelf components, it also operates at room temperature and remains remarkably stable while performing billions of operations per second. The research was published in Nature.</description>
                    <link>https://phys.org/news/2026-02-based-ising-room-temperature-stays.html</link>
                    <category>Optics &amp; Photonics</category>                    <pubDate>Sat, 07 Feb 2026 13:00:04 EST</pubDate>
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                    <title>New type of magnetism discovered in 2D materials</title>
                    <description>In collaboration with international partners, researchers at the University of Stuttgart have experimentally demonstrated a previously unknown form of magnetism in atomically thin material layers. The discovery is highly relevant for future magnetic data storage technologies and advances the fundamental understanding of magnetic interactions in two-dimensional systems. The results have now been published in Nature Nanotechnology.</description>
                    <link>https://phys.org/news/2026-02-magnetism-2d-materials.html</link>
                    <category>Nanophysics</category>                    <pubDate>Sat, 07 Feb 2026 09:00:06 EST</pubDate>
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                    <title>Mathematical model sheds light on African American family ties</title>
                    <description>Calling a friend &quot;cousin&quot; might not be just a term of affection among some African Americans. Now, a mathematical model shows that there is a good chance there is some type of family connection between 185 and 410 years ago for many pairs of African Americans of the same age.</description>
                    <link>https://phys.org/news/2026-02-mathematical-african-american-family.html</link>
                    <category>Molecular &amp; Computational biology</category>                    <pubDate>Sat, 07 Feb 2026 08:30:10 EST</pubDate>
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                    <title>Governments urged to fix faulty radar in economic models disregarding climate risk</title>
                    <description>Economic models used by governments, central banks and investors are increasingly understating physical climate risk because they rely on assumptions that break down as the world moves toward higher levels of warming, according to a new report from University of Exeter and Carbon Tracker. The report Recalibrating Climate Risk—drawing on expert judgment from more than 60 climate scientists—finds that many economic models are failing to capture the extreme events, compounding shocks and rising uncertainty likely to dominate impacts in a hotter world.</description>
                    <link>https://phys.org/news/2026-02-urged-faulty-radar-economic-disregarding.html</link>
                    <category>Environment</category>                    <pubDate>Thu, 05 Feb 2026 21:40:01 EST</pubDate>
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                    <title>&#039;Dispersal-driven&#039; evolution fuels diversity at the air-liquid interface</title>
                    <description>As in a batch of kombucha or a barrel of sherry, microbes can assemble into a mat-like layer at the boundary between air and liquid. In laboratory culture, the bacterium Pseudomonas fluorescens SBW25 is widely known for doing exactly that: starting from a non-mat-forming original type, it evolves—through genetic mutations—into forms that construct a mat at the air–liquid interface, and it does so with striking regularity within just a few days.</description>
                    <link>https://phys.org/news/2026-02-dispersal-driven-evolution-fuels-diversity.html</link>
                    <category>Evolution</category>                    <pubDate>Thu, 05 Feb 2026 18:50:01 EST</pubDate>
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                    <title>Range-resident logistic model connects animal movement and population dynamics</title>
                    <description>Despite decades of independent progress in population ecology and movement ecology, researchers have lacked a theoretical bridge between these two disciplines. &quot;Ecologists have been trying to establish this link since the 1950s, when they started to characterize animal movement patterns,&quot; says Dr. Ricardo Martinez-Garcia, head of the CASUS Young Investigator Group &quot;Dynamics of Complex Living Systems&quot; and senior author of the study.</description>
                    <link>https://phys.org/news/2026-02-range-resident-logistic-animal-movement.html</link>
                    <category>Plants &amp; Animals</category>                    <pubDate>Thu, 05 Feb 2026 14:43:34 EST</pubDate>
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                    <title>Philadelphia communities help AI machine learning get better at spotting gentrification</title>
                    <description>Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods. The term &quot;gentrification&quot; has been lingua franca for generations of urbanites who have seen their communities change and property values, and commensurate taxes, shift in ways that can make it difficult for longtime residents to stay. But identifying its unmanaged creep can be a challenge, particularly in densely populated areas, as its visual hallmarks—such as new facades, mixes in building materials and changes in building heights—present differently in different cities and regions.</description>
                    <link>https://phys.org/news/2026-02-philadelphia-communities-ai-machine-gentrification.html</link>
                    <category>Social Sciences</category>                    <pubDate>Thu, 05 Feb 2026 14:20:06 EST</pubDate>
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                    <title>How superconductivity arises: New insights from moiré materials</title>
                    <description>How exactly unconventional superconductivity arises is one of the central questions of modern solid-state physics. A new study published in the journal Nature provides crucial insights into this question. For the first time, an international research team was able to demonstrate a direct microscopic connection between a strongly correlated normal state and superconductivity in so-called moiré materials. In the long term, these findings could contribute to the development of new quantum materials and superconductors for future quantum technologies.</description>
                    <link>https://phys.org/news/2026-02-superconductivity-insights-moir-materials.html</link>
                    <category>Condensed Matter</category>                    <pubDate>Thu, 05 Feb 2026 10:44:53 EST</pubDate>
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                    <title>Capturing gravity waves: Scientists break &#039;decades of gridlock&#039; in climate modeling</title>
                    <description>Global climate models capture many of the processes that shape Earth&#039;s weather and climate. Based on physics, chemistry, fluid motion and observed data, hundreds of these models agree that more carbon dioxide in the atmosphere leads to hotter global temperatures and more extreme weather. Still, uncertainty remains around how seasonal weather patterns and atmospheric systems like the jet stream will respond to global warming. Some of this uncertainty stems from the way models approximate the effects of relatively short-lived, small-scale phenomena known as gravity waves.</description>
                    <link>https://phys.org/news/2026-02-capturing-gravity-scientists-decades-gridlock.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Thu, 05 Feb 2026 10:05:01 EST</pubDate>
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                    <title>YouTubers love wildlife, but commenters aren&#039;t calling for conservation action</title>
                    <description>YouTube is a great place to find all sorts of wildlife content. It is not, however, a good place to find viewers encouraging each other to preserve that wildlife, according to new research led by the University of Michigan. Out of nearly 25,000 comments posted to more than 1,750 wildlife YouTube videos, just 2% featured a call to action that would help conservation efforts, according to a new study published in the journal Communications Sustainability.</description>
                    <link>https://phys.org/news/2026-02-youtubers-wildlife-commenters-action.html</link>
                    <category>Plants &amp; Animals</category>                    <pubDate>Thu, 05 Feb 2026 05:00:04 EST</pubDate>
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                    <title>New AI model enables native speakers and foreign learners to read undiacritized Arabic texts with greater fluency</title>
                    <description>Reading an Arabic newspaper, a book, or academic prose fluently, whether digital or in print, remains challenging for many native speakers, let alone learners of Arabic as a foreign language.</description>
                    <link>https://phys.org/news/2026-02-ai-enables-native-speakers-foreign.html</link>
                    <category>Education</category>                    <pubDate>Wed, 04 Feb 2026 18:20:01 EST</pubDate>
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                    <title>Cracking the rules of gene regulation with experimental elegance and AI</title>
                    <description>Gene regulation is far more predictable than previously believed, scientists conclude after developing the deep learning model PARM. This might bring an end to a scientific mystery: how genes know when to switch on or off.</description>
                    <link>https://phys.org/news/2026-02-gene-experimental-elegance-ai.html</link>
                    <category>Biotechnology</category>                    <pubDate>Wed, 04 Feb 2026 11:00:15 EST</pubDate>
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                    <title>Innate biases of newborn animals inspire adaptive decision-making model</title>
                    <description>Precocial animals, the ones that move autonomously within hours after hatching or birth, have many biases they are born with that help them survive, finds a new paper led by Queen Mary University of London, published in Proceedings of the Royal Society B: Biological Sciences.</description>
                    <link>https://phys.org/news/2026-02-innate-biases-newborn-animals-decision.html</link>
                    <category>Plants &amp; Animals</category>                    <pubDate>Tue, 03 Feb 2026 19:10:06 EST</pubDate>
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                    <title>AI systems could identify math anxiety from student inputs and change feedback</title>
                    <description>Math anxiety is a significant challenge for students worldwide. While personalized support is widely recognized as the most effective way to address it, many teachers struggle to deliver this level of support at scale within busy classrooms. New research from Adelaide University shows how artificial intelligence (AI) could help address challenges such as math anxiety by using a student&#039;s inputs and identifying signs of anxiety or disengagement during learning.</description>
                    <link>https://phys.org/news/2026-02-ai-math-anxiety-student-feedback.html</link>
                    <category>Mathematics</category>                    <pubDate>Tue, 03 Feb 2026 15:40:04 EST</pubDate>
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                    <title>Cosmic radiation brought to light: Researchers measure ionization in dark cloud for the first time</title>
                    <description>Where starlight doesn&#039;t reach, new things are born: For the first time, an international research team has directly measured the effect of cosmic radiation in a cold molecular cloud. The observation shows how charged high-energy particles influence the gas in these lightless regions where stars are formed. Dr. Brandt Gaches, head of the Emmy Noether Group Towards the Next Generation in Cosmic Ray Astrochemistry at the University of Duisburg-Essen, was part of the effort to propose and observe these effects with the James Webb Space Telescope and provided support through astrochemical models of cosmic-ray chemistry. The findings are published in Nature Astronomy.</description>
                    <link>https://phys.org/news/2026-02-cosmic-brought-ionization-dark-cloud.html</link>
                    <category>Astronomy</category>                    <pubDate>Tue, 03 Feb 2026 14:30:01 EST</pubDate>
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                    <title>Ozone-depleting CFCs detected in historical measurements—20 years earlier than previously known</title>
                    <description>An international research team led by the University of Bremen has detected chlorofluorocarbons (CFCs) in Earth&#039;s atmosphere for the first time in historical measurements from 1951—20 years earlier than previously known. This surprising glimpse into the past was made possible by analyzing historical measurement data from the Jungfraujoch research station in the Swiss Alps. The study has now been published in Geophysical Research Letters.</description>
                    <link>https://phys.org/news/2026-02-ozone-depleting-cfcs-historical-years.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Tue, 03 Feb 2026 13:56:35 EST</pubDate>
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                    <title>Global warming is speeding breakdown of major greenhouse gas, research shows</title>
                    <description>Scientists at the University of California, Irvine have discovered that climate change is causing nitrous oxide, a potent greenhouse gas and ozone-depleting substance, to break down in the atmosphere more quickly than previously thought, introducing significant uncertainty into climate projections for the rest of the 21st century.</description>
                    <link>https://phys.org/news/2026-02-global-breakdown-major-greenhouse-gas.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Tue, 03 Feb 2026 11:12:58 EST</pubDate>
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                    <title>CT scans unwrap secrets of ancient Egyptian life</title>
                    <description>Keck Medicine of USC radiologists use computed tomography (CT) scanners to diagnose and treat patients&#039; diseases and injuries. Recently, however, this advanced technology was put to a far more novel use: examining the bodies of two ancient Egyptian mummies. Radiologists conducted full-body CT scans of two Egyptian priests, Nes-Min, circa 330 BCE, and Nes-Hor, circa 190 BCE, whose bodies had been preserved for more than 2,200 years.</description>
                    <link>https://phys.org/news/2026-02-ct-scans-unwrap-secrets-ancient.html</link>
                    <category>Archaeology</category>                    <pubDate>Tue, 03 Feb 2026 10:20:01 EST</pubDate>
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                    <title>Two huge hot blobs of rock influence Earth&#039;s magnetic field, study reveals</title>
                    <description>Exploring Earth&#039;s deep interior is a far bigger challenge than exploring the solar system. While we have traveled 25 billion km into space, the deepest we have ever gone below our feet is just over 12 km. Consequently, little is known about the conditions at the base of the mantle and the top of the core—the most significant interface in Earth&#039;s interior and the region where new research has now uncovered exciting magnetic activity.</description>
                    <link>https://phys.org/news/2026-02-huge-hot-blobs-earth-magnetic.html</link>
                    <category>Planetary Sciences</category>                    <pubDate>Tue, 03 Feb 2026 06:04:33 EST</pubDate>
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                    <title>AI model forecasts coral heat stress on Florida reefs up to six weeks ahead</title>
                    <description>Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along Florida&#039;s Coral Reef up to six weeks ahead, with predictions generally accurate within one week. The study, published in Environmental Research Communications, presents a site-specific, explainable machine-learning framework to support coral scientists and restoration practitioners with local reef management and emergency response planning.</description>
                    <link>https://phys.org/news/2026-02-ai-coral-stress-florida-reefs.html</link>
                    <category>Ecology</category>                    <pubDate>Mon, 02 Feb 2026 19:40:01 EST</pubDate>
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                    <title>Bubble bots: Simple biocompatible microrobots autonomously target tumors</title>
                    <description>The potential of microrobots is enormous. These miniature objects can be designed to carry out actions within the body, such as sensing biomarkers, manipulating objects like blood clots, or delivering drug therapies to tumor sites. But working out how to make the tiny bots effective, biocompatible, and cost effective is challenging. Now a Caltech-led team has taken a huge step toward making the next generation of microrobots for drug delivery. They have simplified both the structure of the microrobots and their production method, while making the bots highly effective and &quot;smart&quot; enough to direct themselves to a tumor.</description>
                    <link>https://phys.org/news/2026-02-bots-simple-biocompatible-microrobots-autonomously.html</link>
                    <category>Bio &amp; Medicine</category>                    <pubDate>Mon, 02 Feb 2026 18:40:04 EST</pubDate>
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                    <title>Hybrid AI-physics method developed for accurate aerosol remote sensing</title>
                    <description>A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a new method combining deep learning with physical radiative transfer modeling to improve the retrieval of atmospheric aerosol properties from complex satellite observations, supporting high-resolution, near-real-time monitoring of haze and dust events. The study was recently published in Journal of Remote Sensing.</description>
                    <link>https://phys.org/news/2026-02-hybrid-ai-physics-method-accurate.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Mon, 02 Feb 2026 16:54:36 EST</pubDate>
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                    <title>How microorganisms on rock surfaces shape groundwater</title>
                    <description>Deep beneath the Earth&#039;s surface, in the pores and crevices of rock, live huge communities of microorganisms. They are invisible to the naked eye—yet they play a central role in the quality of our groundwater and in global cycles of matter. A research team led by Dr. Martin Taubert from the Cluster of Excellence &quot;Balance of the Microverse&quot; at the University of Jena has shown that life in the subsurface follows two fundamentally different strategies—with far-reaching consequences for environmental research and practice.</description>
                    <link>https://phys.org/news/2026-02-microorganisms-surfaces-groundwater.html</link>
                    <category>Ecology</category>                    <pubDate>Mon, 02 Feb 2026 15:39:40 EST</pubDate>
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                    <title>Some tropical land may heat up nearly twice as much as oceans under climate change, sediment record suggests</title>
                    <description>Some tropical land regions may warm more dramatically than previously predicted, as climate change progresses, according to a new CU Boulder study that looks millions of years into Earth&#039;s past. Using lake sediments from the Colombian Andes, researchers reveal that when the planet warmed millions of years ago under carbon dioxide levels similar to today&#039;s, tropical land heated up nearly twice as much as the ocean.</description>
                    <link>https://phys.org/news/2026-02-tropical-oceans-climate-sediment.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Mon, 02 Feb 2026 15:00:12 EST</pubDate>
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