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image: TS Picks: March 23, 2017

TS Picks: March 23, 2017

By | March 23, 2017

Reacting to the White House budget proposal; tracking “attacks on science”

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image: Image of the Day: Tubular Origins

Image of the Day: Tubular Origins

By | March 23, 2017

Murine neural tubes, with each image highlighting a different embryonic tissue type (blue). The neural tube itself (left) grows into the brain, spine, and nerves, while the mesoderm (middle) develops into other organs, and the ectoderm (right) forms skin, teeth, and hair.

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Officials at scientific societies and advocacy organizations urge lawmakers to push back against proposed cuts at the NIH and other agencies.

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image: Trump’s Proposed Budget Would Cut Science Funding

Trump’s Proposed Budget Would Cut Science Funding

By | March 16, 2017

The NIH could see its budget slashed by $5.8 billion (approximately 19 percent), while the EPA could see a $2.6 billion budget cut (around 31 percent).

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image: Sharks May Have Evolved from Acanthodians

Sharks May Have Evolved from Acanthodians

By | March 14, 2017

Analysis of an ancient shark fossil provides the strongest evidence to date that modern sharks derive from a class of 400 million–year-old bony fish.

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“Buena vista” hypothesis suggests that changes in the sizes of eyes, rather than a shift from fins to limbs, led fish to transition to land more than 300 million years ago.  

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image: Reactions to Proposed EPA, NIH Budget Cuts

Reactions to Proposed EPA, NIH Budget Cuts

By | March 3, 2017

Experts discuss how Trump’s budget proposals could affect federally employed and federally funded scientists.

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Researchers report growing a mouse embryo using two types of early stem cells.

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image: Understanding the Roots of Human Musicality

Understanding the Roots of Human Musicality

By | March 1, 2017

Researchers are using multiple methods to study the origins of humans’ capacity to process and produce music, and there’s no shortage of debate about the results.

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image: Infant Brain Scans May Predict Autism Diagnosis

Infant Brain Scans May Predict Autism Diagnosis

By | February 17, 2017

A computer algorithm can identify the brains of autism patients with moderate accuracy based on scans taken at six months and one year of age.

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