Lifeboat Foundation

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.

At first glance, the human body seems to be symmetrical: two arms, two legs, two eyes, two ears, and even the nose and mouth appear to be mirrored on an imaginary axis that divides most people’s faces. Finally, the brain is split into two nearly equal-sized halves, and the furrows and bulges follow a similar pattern. The initial impression, however, is misleading since there are small, functionally relevant differences between the left and right sides of the different brain regions.

The two hemispheres have distinct functional specializations. For instance, most individuals process language mostly in their left hemisphere whereas spatial attention is primarily processed in their right hemisphere. Work can thus be distributed more effectively to both sides, and the overall range of tasks is expanded.

However, this so-called lateralization, or the tendency for brain regions to process certain functions more in the left or right hemisphere, differs between people. And not only in the minority whose brains are mirror-inverted in comparison to the majority. Even people with classically arranged brains have varying degrees of asymmetry. Previous research has indicated that this, in turn, may have an effect on the functions themselves.

European moles shrink their brains by 11% before the winter and grow them again by 4% by the summer.

European moles face an existential crisis in the depths of winter. Their high-limit mammal metabolisms need more food than is available during the coldest months. Instead of migrating or hibernating to deal with the seasonal challenge, moles have devised an unexpected energy-saving strategy: shrinking their brains.

In a recent study, a group from the Max Planck Institute of Animal Behavior headed by Dina Dechmann found that European moles shrink their brains by 11% before the winter and grow them back by 4% by summer. They are a new group of mammals known for reversibly shrinking their brains through a process known as Dehnel’s phenomenon.

It’s important to reach out to your doctor before changing or stopping a medication regimen.

Turing’s machine should sound familiar for another reason. It’s similar to the way ribosomes read genetic code on ribbons of RNA to construct proteins.

Cellular factories are a kind of natural Turing machine. What Leigh’s team is after would work the same way but go beyond biochemistry. These microscopic Turing machines, or molecular computers, would allow engineers to write code for some physical output onto a synthetic molecular ribbon. Another molecule would travel along the ribbon, read (and one day write) the code, and output some specified action, like catalyzing a chemical reaction.

Now, Leigh’s team says they’ve built the first components of a molecular computer: A coded molecular ribbon and a mobile molecular reader of the code.

Students at Southern Methodist University in Dallas are debuting their “baby” DIY supercomputer. It’s made of 16 NVIDIA Jetson Nano modules.