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New scrubbing robot could contribute to automation of household chores

While the advent of robotic systems that can complete household chores has been widely anticipated, those commercially released so far are primarily robot vacuums that autonomously clean the floor. In contrast, robots that can reliably clean surfaces, tidy up, cook or perform other tasks in home environments are either too expensive or have not yet reached the market.

Researchers at Northeastern University recently developed SCCRUB, a soft that can complete a chore beyond hoovering and mopping, which many people find tedious, namely scrubbing surfaces clean. The new robotic arm, introduced in a paper on the arXiv preprint server, was found to successfully clean dirty, burnt and greasy surfaces, removing over 99.% of residue adhered to them.

“Our recent study builds on one of our earlier papers published in Science Robotics,” Jeffrey Lipton, senior author of the paper, told Tech Xplore. “We knew we had a new type of robot arm that could deliver the power of a drill through a soft robotic arm. We wanted to show what else we could do with this new platform.”

Scientists develop rapid, cell-free platform for assembling Nipah virus vaccine prototypes

Researchers from Cornell and Northwestern universities have developed a rapid, cell-free method for building nanoparticle vaccines that mimic viruses at the molecular level, offering a powerful new tool for responding to emerging pandemics.

By producing and folding full-length viral membrane proteins directly into synthetic lipid bubbles called liposomes, the technique creates in hours, rather than weeks or months, and could pave the way for faster, more adaptable immunization strategies against deadly viruses like Nipah.

The research, presented in the paper “Cell-Free Expression of Nipah Virus Transmembrane Proteins for Proteoliposome Vaccine Design,” was published in the journal ACS Nano.

Testing Quantum Theory in Curved Spacetime

A proposed experiment could shed light on the unknown interplay of quantum theory and general relativity.

Quantum theory has been remarkably successful ever since its inception 100 years ago. And yet, there is a glaring mismatch between the discrete, quantum nature of matter and the apparent continuous, classical nature of spacetime, in which matter resides and interacts. This disparity raises profound questions. Does spacetime have indivisible units, or quanta, even though it does not seem to be divisible like matter [1, 2]? And if so, do these quanta have observable signatures, and do they influence other areas of physics? Now Jacob Covey at the University of Illinois Urbana-Champaign and his colleagues have proposed a way to address these questions [3]. Their strategy involves using a widely distributed quantum state to probe the essential features of quantum theory in the curved spacetime of Earth’s gravitational field.

The team’s proposal is relevant to the problem of quantum gravity—that is, how to coherently and logically combine quantum theory and the general theory of relativity [4]. Many researchers consider this problem to be one of the greatest unsolved puzzles in physics (although some still think that gravity should not be quantized and that the whole concept of quantum gravity might be fundamentally misguided [5]). But compared with other thriving areas of quantum theory and its manifold applications, quantum gravity remains an almost entirely theoretical enterprise that is pursued through string theory, loop quantum gravity, and many other approaches [4]. It is thus inherently nonempirical and speculative, constrained only by our current knowledge of quantum theory and general relativity.

Simulating the unthinkable: Models show nuclear winter food production plunge

A nuclear winter is a theoretical concept, but if the climate scenario expected to follow a large-scale nuclear war, in which smoke and soot from firestorms block sunlight, came to fruition, global temperatures would sharply drop, extinguishing most agriculture. A nuclear winter could last for more than a decade, potentially leading to widespread famine for those who survive the devastation of the bomb blasts.

Now, a team led by researchers at Penn State have modeled precisely how various nuclear winter scenarios could impact global production of corn—the most widely planted grain crop in the world. They also recommended preparing “agricultural resilience kits” with seeds for faster-growing varieties better adapted to colder temperatures that could potentially help offset the impact of nuclear winter, as well as like volcanic eruptions.

In findings recently published in Environmental Research Letters, the team reported that the level of corn crop decline would vary, depending on the scale of the conflict.

Novel method of targeting disordered proteins could herald a new era for medicine

Scientists have discovered a new way to advance drug discovery and diagnostics by targeting a part of the proteome (the complete set of proteins in an organism) that was previously thought inaccessible to drug development, often referred to as “undruggable” targets.

Hidden neighbor: Astronomers confirm long-suspected companion star near Betelgeuse

Betelgeuse is one of the brightest stars in the night sky, and the closest red supergiant to Earth. It has an enormous volume, spanning a radius around 700 times that of the sun. Despite only being ten million years old, which is considered young by astronomy standards, it’s late in its life.

Located in the shoulder of the constellation Orion, people have observed Betelgeuse with the naked eye for millennia, noticing that the star changes in brightness over time. Astronomers established that Betelgeuse has a main period of variability of around 400 days and a more extended secondary period of around six years.

In 2019 and 2020, there was a steep decrease in Betelgeuse’s brightness—an event referred to as the “Great Dimming.” The event led some to believe that a supernova death was quickly approaching, but scientists were able to determine the dimming was actually caused by a large cloud of dust ejected from Betelgeuse.

Largest supernova dataset hints dark energy may be changing over time

It took about 50 exploding stars to upend cosmology. Researchers mapped and measured light from Type Ia supernovae, the dramatic explosion of a particular kind of white dwarf. In 1998, they announced their surprising results: Instead of slowing down or staying constant, our universe was expanding faster and faster. The discovery of “dark energy,” the unknown ingredient driving the accelerated expansion, was awarded a Nobel Prize.

Since the late ’90s, dozens of experiments using different telescopes and techniques have captured and published more than 2,000 Type Ia (pronounced “one A”) supernovae. But without correcting for those differences, using supernovae from separate experiments is often a case of comparing apples and oranges.

To unite the supernovae and more precisely measure dark energy’s role in our universe, scientists built the largest standardized dataset of Type Ia supernovae ever made. The compilation is called Union3 and was built by the international Supernova Cosmology Project (SCP), which is led by the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab).

New Earth-sized exoplanet orbiting nearby star detected

Using the Transiting Exoplanet Survey Satellite (TESS), an international team of astronomers has detected a new exoplanet orbiting a nearby star. The newfound alien world, designated TOI-2431 b, is comparable in size to Earth and has a very short orbital period. The finding was reported in a research paper published July 11 on the pre-print server arXiv.

NASA’s TESS monitors about 200,000 near Earth, looking for temporary drops in brightness caused by . Since its launch in April 2018, the satellite has identified more than 7,600 candidate exoplanets (TESS Objects of Interest, or TOI), of which 638 have been confirmed so far.

Now, a team of astronomers led by Kaya Han Taş of the University of Amsterdam in the Netherlands, reports the confirmation of another TOI monitored by TESS. According to the paper, a transit signal has been detected in the light curve of TOI-2431—a star of spectral type KV7 located some 117 light years away. The planetary nature of this signal was confirmed by follow-up ground-based observations.

New approach allows drone swarms to autonomously navigate complex environments at high speed

Unmanned aerial vehicles (UAVs), commonly known as drones, are now widely used worldwide to tackle various real-world tasks, including filming videos for various purposes, monitoring crops or other environments from above, assessing disaster zones, and conducting military operations. Despite their widespread use, most existing drones either need to be fully or partly operated by human agents.

In addition, many drones are unable to navigate cluttered, crowded or unknown environments without colliding with nearby objects. Those that can navigate these environments typically rely on expensive or bulky components, such as advanced sensors, graphics processing units (GPUs) or .

Researchers at Shanghai Jiao Tong University have recently introduced a new insect-inspired approach that could enable teams of multiple drones to autonomously navigate complex environments while moving at high speed. Their proposed approach, introduced in a paper published in Nature Machine Intelligence, relies on both a deep learning algorithm and core physics principles.