Lifeboat Foundation

The flare was accompanied by a coronal mass ejection that missed Earth.

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.

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

Join NIA virtually for the 32nd Annual Nathan W. Shock Award Lecture on November 10, 2022. View the agenda and get the log in details.

A video about neural networks, how they work, and why they’re useful.

My twitter: https://twitter.com/max_romana.

Continue reading “Why Neural Networks can learn (almost) anything” »

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 bacteria.

“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, air pollution, and public health, and we believe that airborne bacteria will attract more and more attention from all sectors of society.”

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 cells 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 nerve fibers are surrounded by a type of sheath or covering called myelin, which allows our neurons to communicate fast, and gives white matter its color.”

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.

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.

A small bivalve mollusk previously only known from the Pleistocene of Los Angeles County has recently been found living intertidally near Santa Barbara, California. The bivalve has been determined to be Cymatioa cooki (Willett, 1937), a member of the Galeommatoidea J.E. Gray, 1840. We document the habitat for the newly discovered C. cooki, and compare it to C. electilis (Berry, 1963), the other extant member of this genus recorded from the region. Cymatioa cooki is rare, and while many galeommatoid species have been shown to be commensal with other invertebrates, we have been unable to determine any specific commensal relationships for it.