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O.o.


While eating takeout one day, University of Chicago scientists Bozhi Tian and Yin Fang started thinking about the noodles—specifically, their elasticity. A specialty of Xi’an, Tian’s hometown in China, is wheat noodles stretched by hand until they become chewy—strong and elastic. Why, the two materials scientists wondered, didn’t they get thin and weak instead?

They started experimenting, ordering pounds and pounds of noodles from the restaurant. “They got very suspicious,” Fang said. “I think they thought we wanted to steal their secrets to open a rival restaurant.”

But what they were preparing was a recipe for —that could much more closely mimic biological skin and than existing technology.

O.o.


This paper describes a new and efficient method of defining an annular region of a curl-free magnetic field with specific physics and coil properties that can be used in stellarator design. Three statements define the importance:

Codes can follow an optimized curl-free initial state to a final full-pressure equilibrium. The large size of the optimization space of stellarators.

Approximately fifty externally-produced distributions of magnetic field, makes success in finding a global optimum largely determined by the starting point.

The design of a stellarator is actually improved when the central region of the plasma has rapid transport with the confinement provided by a surrounding annulus of magnetic surfaces with low transport.

O.o.


Laser weapons can strike at the speed of light, and they’re quickly deploying to every possible fighting domain, whether on land, in the air, and at sea. But what about under the sea?

Open-source budget documents, the earliest of which date back to 2011, show the Navy’s plans to arm Virginia-class nuclear subs with high-energy laser weapons. It’s a strange idea seeing as laser weapons definitely do not work underwater. Submarines are also quiet recluses by design, rarely popping their heads above water.

Cancer genomes contain large numbers of somatic mutations but few of these mutations drive tumor development. Current approaches either identify driver genes on the basis of mutational recurrence or approximate the functional consequences of nonsynonymous mutations by using bioinformatic scores. Passenger mutations are enriched in characteristic nucleotide contexts, whereas driver mutations occur in functional positions, which are not necessarily surrounded by a particular nucleotide context. We observed that mutations in contexts that deviate from the characteristic contexts around passenger mutations provide a signal in favor of driver genes. We therefore developed a method that combines this feature with the signals traditionally used for driver-gene identification. We applied our method to whole-exome sequencing data from 11,873 tumor–normal pairs and identified 460 driver genes that clustered into 21 cancer-related pathways. Our study provides a resource of driver genes across 28 tumor types with additional driver genes identified according to mutations in unusual nucleotide contexts.