Lifeboat Foundation

Multiple sclerosis (MS) is a neurological disease that usually leads to permanent disabilities. It affects about 2.9 million people worldwide, and about 15,000 in Switzerland alone. One key feature of the disease is that it causes the patient’s own immune system to attack and destroy the myelin sheaths in the central nervous system.

These protective sheaths insulate the nerve fibers, much like the plastic coating around a copper wire. Myelin sheaths ensure that electrical impulses travel quickly and efficiently from nerve cell to nerve cell. If they are damaged or become thinner, this can lead to irreversible visual, speech and coordination disorders.

So far, however, it hasn’t been possible to visualize the myelin sheaths well enough to reliably diagnose and treat MS. Now researchers at ETH Zurich, led by Markus Weiger and Emily Baadsvik from the Institute for Biomedical Engineering, have developed a new magnetic resonance imaging (MRI) procedure that maps the condition of the myelin sheaths more accurately than was previously possible. The researchers successfully tested the procedure on healthy people for the first time.

Not all software is perfect—many apps, programs, and websites are released despite bugs. But the software behind critical systems like cryptographic protocols, medical devices, and space shuttles must be error-free, and ensuring the absence of bugs requires going beyond code reviews and testing. It requires formal verification.

Formal verification involves writing a mathematical proof of your code and is “one of the hardest but also most powerful ways of making sure your code is correct,” says Yuriy Brun, a professorat the University of Massachusetts Amherst.

To make formal verification easier, Brun and his colleagues devised a new AI-powered method called Baldur to automatically generate proofs. The accompanying paper, presented in December 2023 at the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering in San Francisco, won a Distinguished Paper award. The team includes Emily First, who completed the study as part of her doctoral dissertation at UMass Amherst; Markus Rabe, a former researcher at Google, where the study was conducted; and Talia Ringer, an assistant professor at the University of Illinois Urbana-Champaign.

When you push a button to open a garage door, it doesn’t open every garage door in the neighborhood. That’s because the opener and the door are communicating using a specific microwave frequency, a frequency no other nearby door is using.

Researchers from the U.S. Department of Energy’s (DOE) Argonne National Laboratory, the University of Chicago, the University of Iowa and Tohoku University in Japan have begun to develop devices that could use the same principles — sending signals through magnets instead of through the air — to connect individual qubits across a chip, as reported in a new paper published in the Proceedings of the National Academy of Sciences.

“This is a proof of concept, at room temperature, of a scalable, robust quantum technology that uses conventional materials,” said David Awschalom, the Liew Family professor in molecular engineering and physics at the University of Chicago’s Pritzker School of Molecular Engineering; the director of the Chicago Quantum Exchange; the director of Q-NEXT, a DOE National Quantum Information Science Research Center hosted at Argonne; and the principal investigator of the project. “The beauty of this experiment is in its simplicity and its use of well-established technology to engineer and ultimately entangle quantum devices.

Simulating KH-, RT-, or RM-driven mixing using direct numerical simulations (DNS) can be prohibitively expensive because all the spatial and temporal scales have to be resolved, making approaches such as Reynolds-averaged Navier–Stokes (RANS) often the more favorable engineering option for applications like ICF. To this day, no DNS has been performed for ICF even on the largest supercomputers, as the resolution requirements are too stringent.⁸ However, RANS approaches also face their own challenges: RANS is based on the Reynolds decomposition of a flow where mean quantities are intended to represent an average over an ensemble of realizations, which is often replaced by a spatial average due to the scarcity of ensemble datasets. Replacing ensemble averages by space averages may be appropriate for flows that are in homogenous-, isotropic-, and fully developed turbulent states in which spatial, temporal, and ensemble averaging are often equivalent. However, most HED hydrodynamic experiments involve transitional periods in which the flow is neither homogeneous nor isotropic nor fully developed but may contain large-scale unsteady dynamics; thus, the equivalency of averaging can no longer be assumed. Yet, RANS models often still require to be initialized in such states of turbulence, and knowing how and when to initialize them in a transitional state is, therefore, challenging and is still poorly understood.

The goal of this paper is to develop a strategy allowing the initialization of a RANS model to describe an unsteady transitional RM-induced flow. We seek to examine how ensemble-averaged quantities evolve during the transition to turbulence based on some of the first ensemble experiments repeated under HED conditions. Our strategy involves using 3D high-resolution implicit large eddy simulations (ILES) to supplement the experiments and both initialize and validate the RANS model. We use the Besnard–Harlow–Rauenzahn (BHR) model,^9–12 specifically designed to predict variable-density turbulent physics involved in flows like RM. Previous studies have considered different ways of initializing the BHR model.

Year 2017 face_with_colon_three

Tissue Nanotransfection (TNT), that can generate any cell type of interest for treatment within the patient’s own body. This technology may be used to repair injured tissue or restore function of aging tissue, including organs, blood vessels and nerve cells.

“By using our novel nanochip technology, injured or compromised organs can be replaced. We have shown that skin is a fertile land where we can grow the elements of any organ that is declining,” said Dr. Chandan Sen, director of Ohio State’s Center for Regenerative Medicine & Cell Based Therapies, who co-led the study with L. James Lee, professor of chemical and biomolecular engineering with Ohio State’s College of Engineering in collaboration with Ohio State’s Nanoscale Science and Engineering Center.

Continue reading “Regenerative nanochip restores ANY tissue with 98% success and clinical trials start next year” »

Scientists and engineers have been pushing for the past decade to leverage an elusive ferroelectric material called hafnium oxide, or hafnia, to usher in the next generation of computing memory. A team of researchers including the University of Rochester’s Sobhit Singh published a study in the Proceedings of the National Academy of Sciences outlining progress toward making bulk ferroelectric and antiferroelectric hafnia available for use in a variety of applications.

In a specific crystal phase, hafnia exhibits ferroelectric properties —that is, electric polarization that can be changed in one direction or another by applying an external electric field. This feature can be harnessed in data storage technology. When used in computing, ferroelectric memory has the benefit of non-volatility, meaning it retains its values even when powered off, one of several advantages over most types of memory used today.

“Hafnia is a very exciting material because of its practical applications in computer technology, especially for data storage,” says Singh, an assistant professor in the Department of Mechanical Engineering. “Currently, to store data we use magnetic forms of memory that are slow, require a lot of energy to operate, and are not very efficient. Ferroelectric forms of memory are robust, ultra-fast, cheaper to produce, and more energy-efficient.”

A team of researchers from Tohoku University and Okinawa Institute of Science and Technology (OIST) has achieved significant advancement in the field of microfluidics, allowing for precise and efficient manipulation of fluids in three-dimensional microscale environments. This work opens up new possibilities for bioanalytical applications, such as cell separations in the realm of medical diagnostics.

Details of their breakthrough were published in the journal Microsystems & Nanoengineering on January 22, 2024.

Microfluidic devices are designed to handle minuscule fluid volumes, allowing researchers to perform analyses and processes with remarkable precision and efficiency.

http://www.tedxathens.com/1080p HD mode available. About speaker: Andreas Mershin is a Research Scientist at the MIT Center for Bits and Atoms. He leads the L…

A research team led by Lynden Archer, professor and dean of Cornell Engineering, has developed a new lithium battery that can charge in as little as five minutes. This could help address anxiety associated with the charging time of electric vehicles (EVs) and increase their adoption.

In their bid to reduce emissions from transportation, countries worldwide are looking to electrify various modes of transport. Road-based transport such as cars, buses, and trucks have led this transformation, aiming to even ban the sale of fossil fuel-powered cars in the next decade.

With technological advances, the fastest commercial charger can charge up an EV in no less than 30 minutes. While this might be a major improvement over the 8-hour charge cycles of a typical home-based charger, it still needs to be improved for large-scale adoption of EVs.