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Despite the fact that the Milky Way Galaxy happens to have hundreds of millions of black holes, we have been able to find only a dozen of them. The incognito nature of most black holes have frustrated astronomers as it not only makes it hard to research them but it also makes space a scary space.
These monstrous cosmic entities lurking in the dark could threaten our existence. Imagine how dangerous it would be to discover a gigantic bottomless pit, from which there is no escape, in our neighborhood?

And now we have discovered one of those monster black holes right out of our culdesac at a stone’s throw on the cosmic scale. Even the mere thought of something with such an intense gravitational force that even light cannot escape… so close to us is spine-chilling.

Welcome to Factnomenal, and today’s video talks about a massive black hole discovered in our galactic backyard.

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Continue reading “NEW MASSIVE Black Hole Near Earth Discovered” | >

It may be known as a rocky, red planet but evidence is mounting that salty water exists at the base of polar deposits on Mars.

University of Southern Queensland’s Professor Graziella Caprarelli is part of an international team investigating bright reflection signals below the Martian surface, first spotted in data acquired between 2010 and 2019 by the radar sounder MARSIS on board Mars Express.

The primarily Italian team proposed that the reflections pointed to a patchwork of salty lakes, publishing their research in Science in 2018 and in Nature Astronomy in 2021. Recently a new collaboration between the Italian team and U.S.-based researchers provided new evidence further corroborating this interpretation.

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face_with_colon_three circa 2016.

Two basic types of encryption schemes are used on the internet today. One, known as symmetric-key cryptography, follows the same pattern that people have been using to send secret messages for thousands of years. If Alice wants to send Bob a secret message, they start by getting together somewhere they can’t be overheard and agree on a secret key; later, when they are separated, they can use this key to send messages that Eve the eavesdropper can’t understand even if she overhears them. This is the sort of encryption used when you set up an online account with your neighborhood bank; you and your bank already know private information about each other, and use that information to set up a secret password to protect your messages.

The second scheme is called public-key cryptography, and it was invented only in the 1970s. As the name suggests, these are systems where Alice and Bob agree on their key, or part of it, by exchanging only public information. This is incredibly useful in modern electronic commerce: if you want to send your credit card number safely over the internet to Amazon, for instance, you don’t want to have to drive to their headquarters to have a secret meeting first. Public-key systems rely on the fact that some mathematical processes seem to be easy to do, but difficult to undo. For example, for Alice to take two large whole numbers and multiply them is relatively easy; for Eve to take the result and recover the original numbers seems much harder.

Public-key cryptography was invented by researchers at the Government Communications Headquarters (GCHQ) — the British equivalent (more or less) of the US National Security Agency (NSA) — who wanted to protect communications between a large number of people in a security organization. Their work was classified, and the British government neither used it nor allowed it to be released to the public. The idea of electronic commerce apparently never occurred to them. A few years later, academic researchers at Stanford and MIT rediscovered public-key systems. This time they were thinking about the benefits that widespread cryptography could bring to everyday people, not least the ability to do business over computers.

Continue reading “Quantum Cryptography Is Unbreakable. So Is Human Ingenuity” | >

Microbiomes, microorganisms that populate specific environments, are known to include both beneficial and harmful bacterial species. Understanding how destructive microbiomes originate in changing environments and their effects on both the environment and human health could help to tackle global well-being challenges more effectively.

Researchers at the Hong Kong Polytechnic University and institutions and universities in China and the U.S. have recently carried out a study investigating the compositions and origins of airborne (i.e., transported in the air) microbiomes on Earth. Their findings, published in the Proceedings of the National Academy of Sciences, shows that humans and animals are among the primary sources of global airborne .

“We spent a total of about nine years on this global study, including drafting the initial proposal, conducting sampling across the world, collecting and processing data, and drafting and revising the manuscript,” Xiangdong Li, one of the leading researchers who carried out the study, told Phys.org. “We established a comprehensive atlas of global airborne bacteria with implications for microbiology, ecology, , and , and we believe that airborne bacteria will attract more and more attention from all sectors of society.”

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Past neuroscience studies have consistently demonstrated that the aging of the mammalian nervous system is liked with a decline in the volume and functioning of white matter, nerve fibers found in deep brain tissues. Although this is now a well-established finding, the mechanisms underpinning the decline of white matter and associated pathologies are poorly understood.

Researchers at Ludwig Maximilian University (LMU) of Munich, Technical University of Munich, the German Center for Neurodegenerative Diseases, Munich Cluster of Systems Neurology and University Hospital Würzburg have recently carried out a study aimed at better understanding the neural mechanisms that might result in the deterioration of white matter. Their findings, published in Nature Neuroscience, suggest that adaptive immune responses could promote the loss of in aging white matter.

“Among the hallmarks of brain aging is a decline in white matter volume and function which leads to an increase in neurological disorders,” Mikael Simons and Özgün Gökce, two of the researchers who carried out the study, told Medical Xpress. “White matter contains nerve fibers (axons), which are extensions of nerve cells (neurons). Many of these are surrounded by a type of sheath or covering called myelin, which allows our neurons to communicate fast, and gives white matter its color.”

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Electronics engineers worldwide are trying to improve the performance of devices, while also lowering their power consumption. Tunnel field-effect transistors (TFETs), an experimental class of transistors with a unique switching mechanism, could be a particularly promising solution for developing low-power electronics.

Despite their potential, most TFETs based on silicon and III-V heterojunctions exhibit low on-current densities and on/off current ratios in some modes of operation. Fabricating these transistors using 2D materials could help to improve electrostatic control, potentially increasing their on-current densities and on/off ratios.

Researchers at University of Pennsylvania, the Chinese Academy of Sciences, the National Institute of Standards and Technology, and the Air Force Research Laboratory have recently developed new heterojunction tunnel triodes based on van der Waals heterostructures formed from 2D metal selenide and 3D silicon. These triodes, presented in a paper published in Nature Electronics, could outperform other TFETs presented in the past in terms of on-current densities and on/off ratios.

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X-rays can be used like a superfast, atomic-resolution camera, and if researchers shoot a pair of X-ray pulses just moments apart, they get atomic-resolution snapshots of a system at two points in time. Comparing these snapshots shows how a material fluctuates within a tiny fraction of a second, which could help scientists design future generations of super-fast computers, communications, and other technologies.

Resolving the information in these X-ray snapshots, however, is difficult and time intensive, so Joshua Turner, a lead scientist at the Department of Energy’s SLAC National Accelerator Center and Stanford University, and ten other researchers turned to artificial intelligence to automate the process. Their machine learning-aided method, published October 17 in Structural Dynamics, accelerates this X-ray probing technique, and extends it to previously inaccessible materials.

“The most exciting thing to me is that we can now access a different range of measurements, which we couldn’t before,” Turner said.

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