The new algorithm, Pinal, is just the latest in a growing family of algorithms that can translate English text into new proteins.
Category: biological
Participants taking 2,000 IU of vitamin D daily had significantly less telomere loss over four years, study finds.
Scientists call for halt on ‘mirror life’. A new study suggests that creating a new tree of life could put the earth at unprecedented risk. paper: https://www.science.org/doi/10.1126/science.ads9158 #science #breakthrough #biology #mirrorlife #shorts 🚀 JOIN US for members-only content: https://www.patreon.com/DrBenMiles 🤘👨🔬 ROCKSTAR SCIENTIST Merch: https://www.rockstarscientist.org/ 📸 INSTAGRAM https://www.instagram.com/drbenmiles A few people have asked so I’ve added the info below. Some of these are affiliate links. If you make a purchase it doesn’t cost you anything extra, but a percentage of the sale will help support this channel and my work to bringing entrepreneurship into science. Camera : Sony A7III https://amzn.to/3OWrmGd Lens: Sigma 402,965 16 mm F1.4 https://amzn.to/49BNJdq Mics: Shure SM7B https://youtu.be/lVTS_J7Xmxs Zoom H4n Pro https://amzn.to/3OXsklB Sennheiser AVX https://amzn.to/4geWnBi …
Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle. The name comes from the Monte Carlo Casino in Monaco, where the primary developer of the method, mathematician Stanisław Ulam, was inspired by his uncle’s gambling habits.
Monte Carlo methods are mainly used in three distinct problem classes: optimization, numerical integration, and generating draws from a probability distribution. They can also be used to model phenomena with significant uncertainty in inputs, such as calculating the risk of a nuclear power plant failure. Monte Carlo methods are often implemented using computer simulations, and they can provide approximate solutions to problems that are otherwise intractable or too complex to analyze mathematically.
Monte Carlo methods are widely used in various fields of science, engineering, and mathematics, such as physics, chemistry, biology, statistics, artificial intelligence, finance, and cryptography. They have also been applied to social sciences, such as sociology, psychology, and political science. Monte Carlo methods have been recognized as one of the most important and influential ideas of the 20th century, and they have enabled many scientific and technological breakthroughs.
In biology, enzymes have evolved over millions of years to drive chemical reactions. Scientists from the Max Planck Institute for Dynamics and Self-Organization (MPI-DS) have now derived universal rules to enable the de novo design of optimal enzymes.
The paper is published in the journal Chem Catalysis.
As an example, they considered the enzymatic reaction of breaking a dimer into two monomer molecules. Considering the geometry of such an enzyme-substrate-complex, they identified three golden rules that should be considered to build a functional enzyme.
A new study suggests that vitamin D supplementation may help preserve the lengths of the protective caps at the ends of chromosomes known as telomeres. Res
No one rule captures the full sweep of life’s ingenuity, yet SAI offers a fresh lens, suggesting that aging and fragility are super-powers.
New research suggests vitamin D may help slow biological aging by preserving telomere length.
Hyperspectral imaging (HSI), or imaging spectroscopy, captures detailed information across the electromagnetic spectrum by acquiring a spectrum for each pixel in an image. This enables precise identification of materials through their spectral signatures.
HSI supports Earth remote sensing applications such as automated classification, abundance mapping, and estimation of physical and biological properties like soil moisture, sediment density, water quality, biomass, leaf area, and pigment content.
Although HSI offers detailed insight into a remote sensing scene, HSI data may not be readily available for an intended application. Recent studies have attempted to combine HSI with traditional red-green-blue (RGB) video acquisition to lower costs and improve performance. However, this fusion technology still faces technical challenges.
Charging electric-vehicle batteries in Ithaca’s frigid winter can be tough, and freezing temperatures also decrease the driving range. Hot weather can be just as challenging, leading to decomposition of battery materials and, possibly, catastrophic failure.
For electric vehicles (EVs) to be widely accepted, safe and fast-charging lithium-ion batteries need to be able to operate in extreme temperatures. But to achieve this, scientists need to understand how materials used in EVs change during temperature-related chemical reactions, a so-far elusive goal.
Now, Cornell chemists led by Yao Yang, Ph.D. ‘21, assistant professor of chemistry and chemical biology in the College of Arts and Sciences, have developed a way to diagnose the mechanisms behind battery failure in extreme climates using electron microscopy. Their first-of-its-kind operando (“operating”) electrochemical transmission electron microscopy (TEM) enables them to watch chemistry in action and collect real-time movies showing what happens to energy materials during temperature changes.