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Engineers at Georgia Tech have designed a process that converts carbon dioxide removed from the air into useful raw material that could be used for new plastics, chemicals, or fuels.

Their approach dramatically reduces the cost and energy required for these (DAC) systems, helping improve the economics of a process the researchers said will be critical to addressing .

The key is a new kind of catalyst and electrochemical reactor design that can be easily integrated into existing DAC systems to produce useful carbon monoxide (CO) gas. It’s one of the most efficient such design ever described in , according to lead researcher Marta Hatzell and her team. They have published the details in Energy & Environmental Science.

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Recent advancements in our comprehension of human health and disease have been propelled by pioneering research utilizing in vitro 3D cell culture models, including both single-cell spheroids and multicellular organoids.

The refinement of these 3D cell culture models hinges on the capacity to visualize, measure, and track their development and expansion over time. Nonetheless, the methods employed to evaluate and scrutinize these intricate cell models are not without their challenges.

This video explores the challenges associated with characterizing organoids and introduces some solutions to these challenges.

Learn more about our solutions: https://www.sartorius.com/en/applicat…

Follow us on LinkedIn: / incucyte-live-cell-analysis-systems.

#organoids #3dcells #cellculture #3dcellculture #drugdiscovery

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Generally, it’s advised not to compare apples to oranges. However, in the field of topology, a branch of mathematics, this comparison is necessary. Apples and oranges, it turns out, are said to be topologically the same since they both lack a hole – in contrast to doughnuts or coffee cups, for instance, which both have one (the handle in the case of the cup) and, hence, are topologically equal.

In a more abstract way, quantum systems in physics can also have a specific apple or doughnut topology, which manifests itself in the energy states and motion of particles. Researchers are very interested in such systems as their topology makes them robust against disorder and other disturbing influences, which are always present in natural physical systems.

Things get particularly interesting if, in addition, the particles in such a system interact, meaning that they attract or repel each other, like electrons in solids. Studying topology and interactions together in solids, however, is extremely difficult. A team of researchers at ETH led by Tilman Esslinger has now managed to detect topological effects in an artificial solid, in which the interactions can be switched on or off using magnetic fields. Their results, which have just been published in the scientific journal Science, could be used in quantum technologies in the future.

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Scientists at the Leibniz Institute of Plant Biochemistry (IPB) have succeeded for the first time in stably and precisely inserting large gene segments into the DNA of higher plants very efficiently. To do this, they optimized the gene-editing method CRISPR/Cas, commonly known as “genetic scissors.”

The improved CRISPR method offers great opportunities for the targeted modification of genes in higher plants, both for breeding and research. The study, led by Prof. Alain Tissier and Dr. Tom Schreiber, has been published in Molecular Plant.

CRISPR/Cas is a method with enormous potential for the targeted modification of individual genes. However, this does not apply to all kinds of genetic modifications that breeders and scientists have on their wish lists. While the genetic scissors are ideal for knocking out genes, i.e., switching off or removing existing genes, they do not work well for precisely inserting genes or replacing gene segments. To date, genetic scissors have been too inefficient and therefore of little use for the targeted insertion of genes into the DNA of higher plants.

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Researchers from the University of Cologne and the University of Würzburg have discovered through training studies that individuals can improve their ability to distinguish between familiar and unfamiliar words, enhancing reading efficiency. Recognizing words is necessary to understand the meaning of a text. When we read, we move our eyes very efficiently and quickly from word to word. This reading flow is interrupted when we encounter a word we do not know, a situation common when learning a new language.

The words of the new language might have yet to be comprehended in their entirety, and language-specific peculiarities in spelling still need to be internalized. The team of psychologists led by junior professor Dr. Benjamin Gagl from the University of Cologne’s Faculty of Human Sciences has now found a method to optimize this process.

The current research results were published in npj Science of Learning under the title ‘Investigating lexical categorization in reading based on joint diagnostic and training approaches for language learners’. Starting in May, follow-up studies extending the training program will be carried out within a project funded by the German Research Foundation (DFG).

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