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Ever wonder why the most advanced robots always seem to have hard bodies? Why not more pliable ones, like humans have?

Researchers working on so-called “soft robotics” attempt to incorporate the feel of living organisms into their creations. But the field hasn’t taken off because the softer components haven’t been easy enough to mass-produce and incorporate into the designs—until now.

University of Virginia researchers have invented a manufacturing process for weaving soft materials such as fabrics, rubbers and gels so that they can be compatible with gadgets, which may lead to a soft robotics revolution.

Almost all forms of modern consumer technology are powered by electrochemical energy, otherwise known as batteries. Lithium-ion batteries, for example, transform chemical reactions into direct current energy while also producing a few side effects (mainly heat). But what if there was another way to power gadgets—say, lasers?

That’s the idea behind new research from the Department of Chemical and Biological Engineering and CU-Boulder. In a new study published this month in the journal Nature Materials, the team—led by chemical and electrical engineering professor Ryan Hayward—explored ways to leverage tiny crystals and directly transform light into mechanical work. At scale, such a breakthrough could remove the need for bulky batteries and all of the thermal management that comes with it.

Does our increasing dependency on technology diminish our human potential? In this episode, visionary scientist Gregg Braden discusses the current transhuman movement – the merging of technology and human biology, often referred to as the singularity. He describes three levels of tech integration where the final level replaces our natural biology. In a time of rapid evolution, reflection and discernment are key. Braden highlights what we can do to release the conditioning of a technology-dependent society and how to follow the natural rhythms within ourselves.

Enter AI. Multiple deep learning methods can already accurately predict protein structures— a breakthrough half a century in the making. Subsequent studies using increasingly powerful algorithms have hallucinated protein structures untethered by the forces of evolution.

Yet these AI-generated structures have a downfall: although highly intricate, most are completely static—essentially, a sort of digital protein sculpture frozen in time.

A new study in Science this month broke the mold by adding flexibility to designer proteins. The new structures aren’t contortionists without limits. However, the designer proteins can stabilize into two different forms—think a hinge in either an open or closed configuration—depending on an external biological “lock.” Each state is analogous to a computer’s “0” or “1,” which subsequently controls the cell’s output.

In many cases, cells are very active in their movement and serve as power generators. The ability of cells to produce physical forces is one of the basic functions of the body. When running, for example, the forces generated in the cells cause the muscles to contract and the breath to work. It has been possible to measure even the forces experienced by individual proteins by force sensors developed in the past, but previously intracellular forces and mechanical strains could not have been measured.

Together with the scientists from The Ohio State University OSU, cell biology researchers at Tampere University have developed a force sensor that can be attached to the side of a mechanically responding protein, allowing it to sense forces and strain on the protein within the cell.

The development of the micro-sized sensor began on a conference travel in December 2019.

A new research paper was published by Aging (listed by MEDLINE/PubMed as “Aging (Albany NY)” and “Aging-US” by Web of Science) in Volume 15, Issue 15, entitled, “Associations between klotho and telomere biology in high stress caregivers.”

Aging biomarkers may be related to each other through direct co-regulation and/or through being regulated by common processes associated with chronological aging or stress. Klotho is an aging regulator that acts as a circulating hormone with critical involvement in regulating insulin signaling, phosphate homeostasis, oxidative stress, and age-related inflammatory functioning.

In this new study, researchers Ryan L. Brown, Elissa E. Epel, Jue Lin, Dena B. Dubal, and Aric A. Prather from the Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, Department of Biochemistry and Biophysics, University of California, San Francisco, and the Department of Neurology and Weill Institute of Neurosciences, University of California, San Francisco discuss the association between klotho levels and telomere length of specific sorted immune cells among a healthy sample of mothers caregiving for a child with autism spectrum disorder (ASD) or a child without ASD — covarying age and body mass index — in order to understand if high stress associated with caregiving for a child with an ASD may be involved in any association between these aging biomarkers.

How molecules change when they react to stimuli such as light is fundamental in biology, for example during photosynthesis. Scientists have been working to unravel the workings of these changes in several fields, and by combining two of these, researchers have paved the way for a new era in understanding the reactions of protein molecules fundamental for life.

The large international research team, led by Professor Jasper van Thor from the Department of Life Sciences at Imperial, report their results in the journal Nature Chemistry.

Crystallography is a powerful technique in structural biology for taking ‘snapshots’ of how molecules are arranged. Over several large-scale experiments and years of theory work, the team behind the new study integrated this with another technique that maps vibrations in the electronic and nuclear configuration of molecules, called spectroscopy.

Artificial neural networks, prevalent models in machine learning capable of being trained for various tasks, derive their name from their structural resemblance to the information-processing methods…