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- Natural Resource Today Weekly - Issue #3
Natural Resource Today Weekly - Issue #3
Significant research news from the world's leading universities and research organizations, delivered to your inbox every Sunday.
University of Cambridge:
In a recent study published in BMJ Global Health, researchers have found that women who experience racial discrimination on the basis of their ethnicity, race or nationality are at increased risk of giving birth prematurely.
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University of Helsinki:
Researchers have discovered how common genetic alterations cause kidney cancer. Their study is published in Nature.
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University of Bristol:
Scientists have developed a small robot to understand how ants teach one another. The study is published in the Journal of Experimental Biology.
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University of California, Davis:
Researchers have revealed how the ovarian reserve is established, providing molecular insights into female reproductive health and lifespan. The study is published in Nature Communications.
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University of Michigan:
Researchers have revealed that a medium-sized sauropod dinosaur inhabited the tropical lowland forested area of the Serranía del Perijá in northern Colombia approximately 175 million years ago. Their findings are published in the Journal of Vertebrate Paleontology.
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University of Birmingham:
A recent study suggests new approaches to help policymakers achieve water security for all. The study is published in Nature Communications.
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University of Maryland:
Researchers have provided an insight into how flowering plants develop fruits and seeds. The study is published in Nature Communications.
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University Of Oxford:
Researchers have developed an approach to help clinicians identify and treat patients at risk of suicide. The study is published in The Lancet Psychiatry.
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Brown University:
In a new study published in Science Advances, researchers found that people who dispute scientific consensus on topics such as vaccine efficacy, climate change or the Big Bang tend to overestimate their own knowledge of these subjects.
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Massachusetts Institute of Technology:
Researchers have used machine learning to automatically solve, explain, and generate university-level math problems at a human level.
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