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The military has been talking about incorporating electric vehicles in their fleet and with the Tesla Cybertruck being described as an “armored personnel carrier from the future”, a rendering artist decided to explore what a Cybertruck would look like as an electric Joint Light Tactical Vehicle.

As we reported last week, the military is developing a plan to use EVs for remote missions and even cited Tesla as an example that larger EVs are viable.

With Tesla CEO Elon Musk describing the Cybertruck as ‘an armored personnel carrier from the future’, several people suggested that the military could end up using the Cybertruck as a platform to build electric military vehicles.

Circa 2015


Researchers at the University of California, Riverside Bourns College of Engineering and the Russian Academy of Sciences have successfully demonstrated pattern recognition using a magnonic holographic memory device, a development that could greatly improve speech and image recognition hardware.

Pattern recognition focuses on finding patterns and regularities in data. The uniqueness of the demonstrated work is that the input patterns are encoded into the phases of the input spin waves.

Spin waves are collective oscillations of spins in magnetic materials. Spin wave devices are advantageous over their optical counterparts because they are more scalable due to a shorter wavelength. Also, spin wave devices are compatible with conventional electronic devices and can be integrated within a chip.

Two decades ago, an experiment at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory pinpointed a mysterious mismatch between established particle physics theory and actual lab measurements. When researchers gauged the behavior of a subatomic particle called the muon, the results did not agree with theoretical calculations, posing a potential challenge to the Standard Model—our current understanding of how the universe works.

Ever since then, scientists around the world have been trying to verify this discrepancy and determine its significance. The answer could either uphold the Standard Model, which defines all of the known subatomic particles and how they interact, or introduce the possibility of an entirely undiscovered physics. A multi-institutional research team (including Brookhaven, Columbia University, and the universities of Connecticut, Nagoya and Regensburg, RIKEN) have used Argonne National Laboratory’s Mira supercomputer to help narrow down the possible explanations for the discrepancy, delivering a newly precise theoretical calculation that refines one piece of this very complex puzzle. The work, funded in part by the DOE’s Office of Science through its Office of High Energy Physics and Advanced Scientific Computing Research programs, has been published in the journal Physical Review Letters.

A muon is a heavier version of the electron and has the same electric charge. The measurement in question is of the muon’s magnetic moment, which defines how the particle wobbles when it interacts with an external magnetic field. The earlier Brookhaven experiment, known as Muon g-2, examined muons as they interacted with an electromagnet storage ring 50 feet in diameter. The experimental results diverged from the value predicted by theory by an extremely small amount measured in parts per million, but in the realm of the Standard Model, such a difference is big enough to be notable.

Recent sleep surveys show that Singaporeans are among the world’s most sleep-deprived people. Scientists from Duke-NUS Medical School (Duke-NUS) and the University of Tokyo provide new evidence, which supports the presence of a key mechanism that regulates our biological clock. In the study published in PNAS, the team used preclinical models to validate that mutations in PER2 protein can alter the balance of the circadian period, which can lead to sleep disorders.

Biological clocks are an organism’s innate timing device. It is composed of specific proteins called clock proteins, which interact in cells throughout the body. Biological clocks produce and regulate —the physical, mental, and behavioral changes that follow a daily cycle. Understanding the molecular mechanisms of the circadian clock provides a huge potential to identify therapeutic interventions to mitigate circadian disruption, and its long-term consequences such as diabetes, obesity and cancer among shift workers, who undergo frequent circadian disruption and are more prone to these diseases.

The Duke-NUS scientists had previously discovered that mutations in a specific protein (called casein kinase 1) alters the core clock protein (called PERIOD or PER), and this changes the timing of the . In this study, were used to investigate the role of PER2 (a type of PER protein) in clock regulation to further understand and strengthen the model.

Rice University researchers have discovered a hidden symmetry in the chemical kinetic equations scientists have long used to model and study many of the chemical processes essential for life.

The find has implications for drug design, genetics and biomedical research and is described in a study published on April 21, 2020, in the Proceedings of the National Academy of Sciences. To illustrate the biological ramifications, study co-authors Oleg Igoshin, Anatoly Kolomeisky and Joel Mallory of Rice’s Center for Theoretical Biological Physics (CTBP) used three wide-ranging examples: protein folding, enzyme catalysis and motor protein efficiency.

Igoshin said the symmetry “wasn’t that hard to prove, but no one noticed it before.”