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                    <title>Phys.org news tagged with:learning performance</title>
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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>AI-driven ultrafast spectrometer-on-a-chip advances real-time sensing</title>
                    <description>For decades, the ability to visualize the chemical composition of materials, whether for diagnosing a disease, assessing food quality, or analyzing pollution, depended on large, expensive laboratory instruments called spectrometers. These devices work by taking light, spreading it out into a rainbow using a prism or grating, and measuring the intensity of each color. The problem is that spreading light requires a long physical path, making the device inherently bulky.</description>
                    <link>https://phys.org/news/2026-01-ai-driven-ultrafast-spectrometer-chip.html</link>
                    <category>Optics &amp; Photonics</category>                    <pubDate>Tue, 20 Jan 2026 17:40:02 EST</pubDate>
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                    <title>Geophysicist&#039;s method could give months&#039; warning of major earthquakes</title>
                    <description>The public could have days or months of warning about a major earthquake through identification of prior low-level tectonic unrest over large areas, according to research by a University of Alaska Fairbanks scientist who analyzed two major quakes in Alaska and California.</description>
                    <link>https://phys.org/news/2024-08-geophysicist-method-months-major-earthquakes.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Fri, 30 Aug 2024 09:22:04 EDT</pubDate>
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                    <title>New research shows how light propagates in integrated circuits on chips</title>
                    <description>The field of photonic integrated circuits focuses on the miniaturization of photonic elements and their integration in photonic chips—circuits that carry out a range of calculations using photons, rather than electrons as are used in electronic circuits.</description>
                    <link>https://phys.org/news/2024-01-propagates-circuits-chips.html</link>
                    <category>Optics &amp; Photonics</category>                    <pubDate>Wed, 31 Jan 2024 15:58:47 EST</pubDate>
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                    <title>New study analyzes how people choose friendships at school</title>
                    <description>Researchers from the Universidad Carlos III de Madrid (UC3M), the Polytechnic University of Madrid (UPM) and Loyola University have discovered that personality does not seem to have much influence when it comes to choosing social friendships at school, which are based more on the closeness of our contacts, according to a study recently published in the journal PNAS.</description>
                    <link>https://phys.org/news/2023-11-people-friendships-school.html</link>
                    <category>Social Sciences</category>                    <pubDate>Mon, 27 Nov 2023 12:44:00 EST</pubDate>
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                    <title>Students from low-income households experienced more learning losses during pandemic: Study</title>
                    <description>A new study from Western researchers examining the impacts of the school closures and remote learning on elementary students during the COVID-19 pandemic has tapped the perspective of a critical group: teachers.</description>
                    <link>https://phys.org/news/2023-09-students-low-income-households-experienced-losses.html</link>
                    <category>Economics &amp; Business</category>                    <pubDate>Wed, 27 Sep 2023 09:44:03 EDT</pubDate>
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                    <title>A possible game changer for next generation microelectronics</title>
                    <description>Tiny magnetic whirlpools could transform memory storage in high performance computers.</description>
                    <link>https://phys.org/news/2022-11-game-changer-generation-microelectronics.html</link>
                    <category>Nanophysics</category>                    <pubDate>Mon, 21 Nov 2022 14:31:03 EST</pubDate>
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                    <title>Impact of family background on children&#039;s education unchanged in a century, research reveals</title>
                    <description>The family background of UK children still influences their educational achievements at primary school as much as it did nearly one hundred years ago, a major new study has revealed.</description>
                    <link>https://phys.org/news/2022-04-impact-family-background-children-unchanged.html</link>
                    <category>Social Sciences</category>                    <pubDate>Wed, 20 Apr 2022 05:00:01 EDT</pubDate>
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                    <title>Smartphones can improve academic performance, when used appropriately</title>
                    <description>Smartphones can improve academic performance, when used appropriately, according to new research by the School of Business.</description>
                    <link>https://phys.org/news/2021-08-smartphones-academic-appropriately.html</link>
                    <category>Education</category>                    <pubDate>Tue, 31 Aug 2021 08:13:34 EDT</pubDate>
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                    <title>Machine learning accelerates cosmological simulations</title>
                    <description>A universe evolves over billions upon billions of years, but researchers have developed a way to create a complex simulated universe in less than a day. The technique, published in this week&#039;s Proceedings of the National Academy of Sciences, brings together machine learning, high-performance computing and astrophysics and will help to usher in a new era of high-resolution cosmology simulations.</description>
                    <link>https://phys.org/news/2021-05-machine-cosmological-simulations.html</link>
                    <category>Astronomy</category>                    <pubDate>Wed, 05 May 2021 04:07:50 EDT</pubDate>
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                    <title>Scientists pair machine learning with tomography to learn about material interfaces</title>
                    <description>By using machine learning as an image processing technique, scientists can dramatically accelerate the heretofore laborious manual process of quantitatively looking for and at interfaces without having to sacrifice accuracy.</description>
                    <link>https://phys.org/news/2020-03-scientists-pair-machine-tomography-material.html</link>
                    <category>General Physics</category>                    <pubDate>Mon, 02 Mar 2020 09:16:18 EST</pubDate>
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                    <title>Machine learning-assisted molecular design for high-performance organic photovoltaic materials</title>
                    <description>To synthesize high-performance materials for organic photovoltaics (OPVs) that convert solar radiation into direct current, materials scientists must meaningfully establish the relationship between chemical structures and their photovoltaic properties. In a new study on Science Advances, Wenbo Sun and a team including researchers from the School of Energy and Power Engineering, School of Automation, Computer Science, Electrical Engineering and Green and Intelligent Technology, established a new database of more than 1,700 donor materials using existing literature reports.  They used supervised learning with machine learning models to build structure-property relationships and fast screen OPV materials using a variety of inputs for different ML algorithms.</description>
                    <link>https://phys.org/news/2019-11-machine-learning-assisted-molecular-high-performance-photovoltaic.html</link>
                    <category>Materials Science</category>                    <pubDate>Tue, 19 Nov 2019 09:40:01 EST</pubDate>
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                    <title>Applying deep learning to motion capture with DeepLabCut</title>
                    <description>A team of researchers affiliated with several institutions in Germany and the U.S. has developed a deep learning algorithm that can be used for motion capture of animals of any kind. In their paper published in the journal Nature Neuroscience, the group describes their tracking tool called DeepLabCut, how it works and how to use it. Kunlin Wei and Konrad Kording with the University of Peking and the University of Pennsylvania respectively offer a News &amp; Views piece on the work done by the group in the same journal issue.</description>
                    <link>https://phys.org/news/2018-08-deep-motion-capture-deeplabcut.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 23 Aug 2018 08:30:01 EDT</pubDate>
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                    <title>Math anxiety doesn&#039;t equal poor math performance</title>
                    <description>Experiencing math anxiety—nervousness and discomfort in relation to math—impairs math performance for some students, but new research shows that it&#039;s linked with improved performance for others, at least to a degree. The findings are published in Psychological Science, a journal of the Association for Psychological Science.</description>
                    <link>https://phys.org/news/2015-11-math-anxiety-doesnt-equal-poor.html</link>
                    <category>Social Sciences</category>                    <pubDate>Wed, 04 Nov 2015 13:10:04 EST</pubDate>
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