Rappelling NASA rover could split in two to explore Mars’ deep craters

NASA JPL took the DuAxel out for a test run in the Mojave Desert.

NASA/JPL-Caltech/J.D. Gammell

NASA’s car-size Mars rovers are awesome, versatile machines capable of traversing rugged terrain. But they’re not made to descend down the sides of craters. For that, NASA would need something like its DuAxel prototype rover, a wild concept that is two rovers in one.

When all together, DuAxel is a four-wheeled rover. The rear can anchor itself to the ground while the front goes free on two wheels. A tether holds the pieces together while the front section rappels down a steep slope. This could work well for exploring currently inaccessible crater walls on Mars.

NASA put a DuAxel prototype through its paces in the Mojave Desert in California. “DuAxel performed extremely well in the field, successfully demonstrating its

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The deep sea is slowly warming — ScienceDaily

New research reveals temperatures in the deep sea fluctuate more than scientists previously thought and a warming trend is now detectable at the bottom of the ocean.

In a new study in AGU’s journal Geophysical Research Letters, researchers analyzed a decade of hourly temperature recordings from moorings anchored at four depths in the Atlantic Ocean’s Argentine Basin off the coast of Uruguay. The depths represent a range around the average ocean depth of 3,682 meters (12,080 feet), with the shallowest at 1,360 meters (4,460 feet) and the deepest at 4,757 meters (15,600 feet).

They found all sites exhibited a warming trend of 0.02 to 0.04 degrees Celsius per decade between 2009 and 2019 — a significant warming trend in the deep sea where temperature fluctuations are typically measured in thousandths of a degree. According to the study authors, this increase is consistent with warming trends in the shallow ocean

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Data analysis certification: Become a better data analyst with this $40 deep learning bundle

Big data means big opportunities. Take a list at the fastest-growing jobs all over the world and you’ll find something in common: most of them have to do with handling data. Whether it’s developing artificial intelligence, engineering the systems that capture and process data, or providing business-focused analysis of that information, the careers that are hiring all expect you to know how to work with big data.

Lucky for you, the Deep Learning and Data Analysis Certification Bundle is here. This collection of courses has been curated to pick the best, most relevant lessons that will help you build up your credibility and find work within these rapidly expanding fields. A career change might be just around the corner for you. It all starts with this $39.99 bundle.

Leverage data in your business

There isn’t a sector out there that couldn’t benefit from understanding how to work with big data.

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To fight climate change, should we mine the deep sea? USF wants to find out.

Ancient rocks lie across vast fields miles below the surface of the Pacific Ocean.

Far from people, but not entirely out of reach, they contain metals such as cobalt, used in batteries for technology like electric cars. They are numerous, about the size of meatballs or potatoes, and formed over millions of years.

These stones may hold a key to fighting climate change, according to a contingent of entrepreneurs who want to mine them. To wean the world off fossil fuels that worsen global warming, scientists say, will require a lot of batteries. That’s where the rocks could help.

But nothing is so simple in the abyss.

Opponents argue that rushing into deep-sea mining risks destroying a pristine wilderness, killing species that have lived free of human intrusion for millennia. They say miners would disrupt a habitat that might hold other value for society, potentially home to microbes that fight

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Deep learning enables identification and optimization of RNA-based tools for myriad applications

Deep learning takes on synthetic biology
Credit: Wyss Institute at Harvard University

DNA and RNA have been compared to “instruction manuals” containing the information needed for living “machines” to operate. But while electronic machines like computers and robots are designed from the ground up to serve a specific purpose, biological organisms are governed by a much messier, more complex set of functions that lack the predictability of binary code. Inventing new solutions to biological problems requires teasing apart seemingly intractable variables—a task that is daunting to even the most intrepid human brains.

Two teams of scientists from the Wyss Institute at Harvard University and the Massachusetts Institute of Technology have devised pathways around this roadblock by going beyond human brains; they developed a set of machine learning algorithms that can analyze reams of RNA-based “toehold” sequences and predict which ones will be most effective at sensing and responding to a desired target sequence. As reported in

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Coupling deep transcriptome and metabolome analysis unveils thermotolerance in cool-season turfgrass

Credit: Pixabay/CC0 Public Domain

Tall fescue (Festuca arundinacea Schreb.) is the predominant forage and cool-season perennial species in the U.S., China and several European countries, which grows at optimum temperature ranging from 18 to 25 oC.

High temperature damage impairs the growth of tall fescue by inhibiting secondary metabolites. Little is known about the regulation pattern of the fatty acids and carbohydrate metabolism at the whole-transcriptome level in tall fescue under high temperature stress.

In a study published in Ecotoxicology and Environmental Safety, the researchers form Molecular Breeding of Turfgrass and Forage Grass Group, Wuhan Botanical Garden of the Chinese Academy of Sciences, first analyzed the high temperature damage to fatty acids and carbohydrate metabolism in two tall fescue accessions, PI 234881 and PI 578718, by using coupling deep transcriptome and metabolome analysis.

Using RNA-Seq, 121 genes were induced during the second energy production phase in tall fescue exposed

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New Zealand’s Deep Tech Sector Gets Massive Boost As Icehouse Ventures & LevelTwo Join Forces

New Zealand’s deep tech sector is getting a massive
boost thanks to a new partnership between Icehouse Ventures
and LevelTwo that will see $10
million of funding, more laboratory workspaces and new
incubator programmes available for startups pushing the
boundaries of science and engineering to address some of our
world’s most pressing problems.

This marks the first
joint venture between a local investment group and a tech
incubator in New Zealand.

LevelTwo is the birthplace
of NZ’s only two deep tech unicorns – Rocket Lab and
LanzaTech – and home of the country’s only commercial
laboratory and workshop facility growing deep technology

The new partnership means that LevelTwo will
transition from an Auckland-based deep tech hub housing
early stage companies spanning the aerospace, agritech,
biotech, and cleantech industries, into an entity that will
also invest into dozens of

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If Trump refuses to concede, American democracy is in deep trouble.

HF: You define democracy as a “system in which parties lose elections.” Why is this such a crucial defining feature?

AP: Democracy has many merits (and demerits), about which see my book, “Why Bother with Elections?” But they all pale in importance in comparison to the role of elections in processing whatever conflicts may arise in a society without violence. As an Italian political philosopher, Norberto Bobbio put it, “What is democracy other than a set of rules … for the solution of conflicts without bloodshed?”

The value of democracy lies in the ability of the citizens to choose by whom and how they would be governed, and this implies being able to throw the incumbents out whenever a qualified majority so wishes.

HF: Trump has just suggested that he may not go along with a transfer of power if he loses. Your work asks why the losers of elections

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Seismic sound waves crossing the deep ocean could be a new thermometer

A seismometer on the atoll of Diego Garcia (left) can calculate ocean temperature with earthquakes near Sumatra (right).
Enlarge / A seismometer on the atoll of Diego Garcia (left) can calculate ocean temperature with earthquakes near Sumatra (right).

Geophysics has shown that precise measurements and a little modeling can perform wonders, like showing us the detailed structure of the Earth’s interior despite the fact that it is inaccessibly buried beneath hundreds of kilometers of rock. This is possible because seismic waves produced by earthquakes subtly change velocity or direction as they pass through different materials. A new paper shows that something similar can actually measure small temperature changes in the deep ocean.

An idea to use acoustic waves from man-made sources was actually floated several decades ago but died out after some trials. A team led by Wenbo Wu at the University of Toronto realized that earthquakes could be taken advantage of in the same way, removing the expensive logistics of constantly setting off booms to get

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