In today’s paper, a unique gravitational wave event is re-examined as the possible origin of an AGN flare. What are the odds?
Your body’s cells use water to dissolve chemicals. It’s the same with all life on Earth. But could other fluids work as a solvent? A new paper reviews the potential for different liquid solvents to support life and proposes some surprising candidates, like liquid carbon dioxide, ammonia, and even concentrated sulfuric acid. Each of these solvents is liquid in dramatically different conditions, helping expand the possibilities for life as we don’t know it.
Originally published on Illumina News Center
Call it archaeology by other means. Rather than sifting through tons of dirt and carefully cataloguing human artifacts, Eske Willerslev and his colleagues have used Illumina NovaSeq Systems to sequence 5,000 ancient human genomes, revealing previously unseen historical nuance. This research tour de force, which is being published this month in four papers in the journal Nature, offers a rich view of early human migrations, mating habits, and disease variants, and their impact on modern Europeans.
“We wanted to sequence this ancient DNA so we could better understand human history,” says Willerslev, who is professor and director at the Centre of Excellence in GeoGenetics at the University of Copenhagen and the Prince Philip Professor of Ecology & Evolution at Cambridge University. “These results describe where we came from and why there’s so much variation in disease risk.”
Photonic integrated circuits have grown as potential hardware for neural networks and quantum computing, yet the tuning speed and large power consumption limited the application. Here, authors introduce the memresonator, a memristor heterogeneously integrated with a microring resonator, as a non-volatile silicon photonic phase shifter to address these limitations.
Capgemini’s CEO says Europe’s dependency on semiconductor imports will remain ‘huge’ for years to come.
Researchers have found that treating seeds with ethylene gas increases both their growth and stress tolerance. This discovery, involving enhanced photosynthesis and carbohydrate production in plants, offers a potential breakthrough in improving crop yields and resilience against environmental stressors.
Just like any other organism, plants can get stressed. Usually, it’s conditions like heat and drought that lead to this stress, and when they’re stressed, plants might not grow as large or produce as much. This can be a problem for farmers, so many scientists have tried genetically modifying plants to be more resilient.
However plants modified for higher crop yields tend to have a lower stress tolerance because they put more energy into growth than into protection against stresses. Similarly, improving the ability of plants to survive stress often results in plants that produce less because they put more energy into protection than into growth. This conundrum makes it difficult to improve crop production.
Biomedical engineers at Duke University have developed a new method to improve the effectiveness of machine learning models. By pairing two machine learning models, one to gather data and one to analyze it, researchers can circumvent limitations of the technology without sacrificing accuracy.
This new technique could make it easier for researchers to use machine learning algorithms to identify and characterize molecules for use in potential new therapeutics or other materials.
The research is published in the journal Artificial Intelligence in the Life Sciences.
A team at HZB has developed a new measurement method that, for the first time, accurately detects tiny temperature differences in the range of 100 microKelvin in the thermal Hall effect. Previously, these temperature differences could not be measured quantitatively due to thermal noise.
Their study is published in Materials & Design.
Using the well-known terbium titanate as an example, the team demonstrated that the method delivers highly reliable results. The thermal Hall effect provides information about coherent multi-particle states in quantum materials based on their interaction with lattice vibrations (phonons).
The type I CRISPR protein Cas3 works like Pac-Man, chomping away at a continuous stream of nucleotides with intrinsic activity for introducing targeted large deletions from a few hundred base pairs to as large as 200 kb. However, without the molecular equivalent to the four colored ghosts who chase and capture Pac-Man, the broad and unidirectional genome editing activity of Cas3 is essentially unregulated.
Yan Zhang, PhD, assistant professor in the department of biological chemistry at the University of Michigan Medical School, and her collaborators at Cornell University identified two anti-CRISPR proteins that can “turn off” Cas3, paving the way toward safer and better-controlled CRISPR applications.
The research article, “Exploiting activation and inactivation mechanisms in type I-C CRISPR-Cas3 for genome-editing applications,” was published in Molecular Cell.