Uncategorized

  1. Astronomy

    The sun’s strongest flare in 11 years might help explain a solar paradox

    The sun tends to release its biggest flares at the ends of solar cycles — and we might finally be able to test why.

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  2. Psychology

    Science can’t forecast love

    Scientists’ forecast for romantic matches is unpredictable.

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  3. Environment

    Air pollution takes a toll on solar energy

    Dust and other tiny air pollutants can reduce solar energy output by as much as 25 percent in parts of the world.

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  4. Life

    When a fungus invades the lungs, immune cells can tell it to self-destruct

    Immune system resists fungal infection by directing spores to their death.

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  5. Neuroscience

    Brain chemical lost in Parkinson’s may contribute to its own demise

    A dangerous form of the chemical messenger dopamine causes cellular mayhem in the very nerve cells that make it.

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  6. Animals

    Why bats crash into windows

    Smooth, vertical surfaces may be blind spots for bats and cause some animals to face-plant, study suggests.

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  7. Paleontology

    Woolly rhinos may have grown strange extra ribs before going extinct

    Ribs attached to neck bones could have signaled trouble for woolly rhinos, a new study suggests.

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  8. Tech

    50 years ago, West Germany embraced nuclear power

    In 1967, Germany gave nuclear power a try. Today, the country is trading nukes for renewables.

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  9. Animals

    Pollen hitches a ride on bees in all the right spots

    Flower reproduction depends on the pollen that collects in hard-to-reach spots on bees, a new study shows.

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  10. Planetary Science

    Readers were curious about rogue planets, exomoons and more

    Readers had questions about rogue planets, human arrival in Australia, and exomoons.

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  11. Science & Society

    Learning is a ubiquitous, mysterious phenomenon

    Acting Editor in Chief Elizabeth Quill talks about the science of learning and how our brains process new knowledge.

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  12. Artificial Intelligence

    Machines are getting schooled on fairness

    Machine-learning programs are introducing biases that may harm job seekers, loan applicants and more.

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